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 table_12351 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What was the score on February 17? | SELECT "Score" FROM table_12351 WHERE "Date" = 'february 17' | SELECT "Score" FROM "table_12351" WHERE "Date" = 'february 17' | 0.060547 |
CREATE TABLE table_68036 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the Final" CLOB, "Score" CLOB)
| What score has wynne prakusya as the opponent in the final? | SELECT "Score" FROM table_68036 WHERE "Opponent in the Final" = 'wynne prakusya' | SELECT "Score" FROM "table_68036" WHERE "Opponent in the Final" = 'wynne prakusya' | 0.080078 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| Answers with the lowest score. | SELECT r.Score AS rRep, q.Score AS qRep, 'http://scifi.stackexchange.com/a/' + CAST(r.Id AS TEXT) + '/4918|' + q.Title AS link, q.Tags AS tags, COALESCE(r.LastEditDate, r.CreationDate) AS rDate FROM Posts AS r, Posts AS q WHERE q.Id = r.ParentId AND r.PostTypeId = 2 AND r.Score < -10 ORDER BY rRep | SELECT "r"."Score" AS "rRep", "q"."Score" AS "qRep", CONCAT(CONCAT('http://scifi.stackexchange.com/a/', CAST("r"."Id" AS CLOB)), '/4918|') + "q"."Title" AS "link", "q"."Tags" AS "tags", COALESCE("r"."LastEditDate", "r"."CreationDate") AS "rDate" FROM "Posts" "r" JOIN "Posts" "q" ON "q"."Id" = "r"."ParentId" WHERE "r"."PostTypeId" = 2 AND "r"."Score" < -10 ORDER BY "rRep" | 0.364258 |
CREATE TABLE table_58084 ("Stadium" CLOB, "Capacity" CLOB, "Club" CLOB, "Division" CLOB, "Rank in Respective Divisions" CLOB)
| Which club has a capacity of 25138? | SELECT "Club" FROM table_58084 WHERE "Capacity" = '25138' | SELECT "Club" FROM "table_58084" WHERE "Capacity" = '25138' | 0.057617 |
CREATE TABLE table_54342 ("Dismissals" CLOB, "Player" CLOB, "Versus" CLOB, "Venue" CLOB, "Date" CLOB)
| What is the Dismissals with a Venue with source: cricinfo.com? | SELECT "Dismissals" FROM table_54342 WHERE "Venue" = 'source: cricinfo.com' | SELECT "Dismissals" FROM "table_54342" WHERE "Venue" = 'source: cricinfo.com' | 0.075195 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| What is the relationship between ACC_Percent and All_Games_Percent , and group by attribute All_Home? | SELECT ACC_Percent, All_Games_Percent FROM basketball_match GROUP BY All_Home | SELECT "ACC_Percent", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Home" | 0.083008 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose primary disease is celo-vessicle fistula and age is less than 74? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CELO-VESSICLE FISTULA" AND demographic.age < "74" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "74" > "demographic"."age" AND "CELO-VESSICLE FISTULA" = "demographic"."diagnosis" | 0.15332 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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)
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 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| Top 20 posts and the scores. | SELECT ViewCount, Score, Id AS "post_link" FROM Posts ORDER BY ViewCount DESC LIMIT 20 | SELECT "ViewCount", "Score", "Id" AS "post_link" FROM "Posts" ORDER BY "ViewCount" DESC FETCH FIRST 20 ROWS ONLY | 0.109375 |
CREATE TABLE table_name_54 (year NUMBER, points NUMBER)
| What is the latest year with less than 0 points? | SELECT MAX(year) FROM table_name_54 WHERE points < 0 | SELECT MAX("year") FROM "table_name_54" WHERE "points" < 0 | 0.056641 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how much did patient 22983 weigh last measured? | 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 = 22983)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 22983 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" = 'admit wt' 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 NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.72168 |
CREATE TABLE table_2509505_1 (games VARCHAR2, goals_against VARCHAR2)
| Name the total number of games for goals against being 352 | SELECT COUNT(games) FROM table_2509505_1 WHERE goals_against = 352 | SELECT COUNT("games") FROM "table_2509505_1" WHERE "goals_against" = 352 | 0.070313 |
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
| List the names of patients who have made appointments, and count them by a pie chart | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name | SELECT "Name", COUNT("Name") FROM "Appointment" "T1" JOIN "Patient" "T2" ON "T1"."Patient" = "T2"."SSN" GROUP BY "Name" | 0.116211 |
CREATE TABLE table_76789 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which College has a Position of ol, and a Pick # smaller than 32? | SELECT "College" FROM table_76789 WHERE "Position" = 'ol' AND "Pick #" < '32' | SELECT "College" FROM "table_76789" WHERE "Pick #" < '32' AND "Position" = 'ol' | 0.077148 |
CREATE TABLE table_1563 ("No. in series" CLOB, "No. in season" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| Name who wrote the episode that had 7.56 million viewers | SELECT "Written by" FROM table_1563 WHERE "U.S. viewers (millions)" = '7.56' | SELECT "Written by" FROM "table_1563" WHERE "U.S. viewers (millions)" = '7.56' | 0.076172 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many days has passed since patient 92788 was given a ptt laboratory test for the first time in this hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 = 92788 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime 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"."dischtime" IS NULL AND "admissions"."subject_id" = 92788 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "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 ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.59375 |
CREATE TABLE table_55811 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the home team score for the team that played an away game at North Melbourne? | SELECT "Home team score" FROM table_55811 WHERE "Away team" = 'north melbourne' | SELECT "Home team score" FROM "table_55811" WHERE "Away team" = 'north melbourne' | 0.079102 |
CREATE TABLE table_name_89 (opponent VARCHAR2, location VARCHAR2)
| Who was the opposing team during a game in the Pontiac Silverdome? | SELECT opponent FROM table_name_89 WHERE location = "pontiac silverdome" | SELECT "opponent" FROM "table_name_89" WHERE "location" = "pontiac silverdome" | 0.076172 |
CREATE TABLE table_name_34 (date VARCHAR2, visitor VARCHAR2)
| When was Montreal a visitor? | SELECT date FROM table_name_34 WHERE visitor = "montreal" | SELECT "date" FROM "table_name_34" WHERE "montreal" = "visitor" | 0.061523 |
CREATE TABLE table_name_16 (wins NUMBER, against NUMBER)
| What is the sum of wins for teams with against under 1067? | SELECT SUM(wins) FROM table_name_16 WHERE against < 1067 | SELECT SUM("wins") FROM "table_name_16" WHERE "against" < 1067 | 0.060547 |
CREATE TABLE table_name_36 (date VARCHAR2, matches VARCHAR2)
| What was the date for a round that only had 1 match? | SELECT date FROM table_name_36 WHERE matches = 1 | SELECT "date" FROM "table_name_36" WHERE "matches" = 1 | 0.052734 |
CREATE TABLE table_13150274_1 (years_of_operation VARCHAR2, area_of_operation VARCHAR2)
| When was the operation in Field 103 executed? | SELECT years_of_operation FROM table_13150274_1 WHERE area_of_operation = "Field 103" | SELECT "years_of_operation" FROM "table_13150274_1" WHERE "Field 103" = "area_of_operation" | 0.088867 |
CREATE TABLE table_63108 ("Round" CLOB, "Date" CLOB, "Against" CLOB, "Score AUFC \\u2013 Away" CLOB, "Attendance" FLOAT, "Weekday" CLOB)
| When the date is 8 october 2008 what is the sum of attendance? | SELECT SUM("Attendance") FROM table_63108 WHERE "Date" = '8 october 2008' | SELECT SUM("Attendance") FROM "table_63108" WHERE "Date" = '8 october 2008' | 0.073242 |
CREATE TABLE table_203_475 (id NUMBER, "stage" NUMBER, "date" CLOB, "route" CLOB, "terrain" CLOB, "length" CLOB, "winner" CLOB)
| after lance armstrong , who led next in the 1995 tour de france ? | SELECT "winner" FROM table_203_475 WHERE "date" > (SELECT "date" FROM table_203_475 WHERE "winner" = 'lance armstrong') ORDER BY "date" LIMIT 1 | SELECT "winner" FROM "table_203_475" WHERE "date" > (SELECT "date" FROM "table_203_475" WHERE "winner" = 'lance armstrong') ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.15918 |
CREATE TABLE table_name_9 (home_team VARCHAR2, away_team VARCHAR2)
| Who is the team that played away team watford? | SELECT home_team FROM table_name_9 WHERE away_team = "watford" | SELECT "home_team" FROM "table_name_9" WHERE "away_team" = "watford" | 0.066406 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| What is the drug route of sodium phosphate? | SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Sodium Phosphate" | SELECT "prescriptions"."route" FROM "prescriptions" WHERE "Sodium Phosphate" = "prescriptions"."drug" | 0.098633 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| Display a bar chart for how many products are there for each manufacturer?, I want to rank by the X-axis in desc. | SELECT T2.Name, COUNT(*) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | SELECT "T2"."Name", COUNT(*) FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" DESC | 0.155273 |
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| does AA fly from ATLANTA to PHILADELPHIA | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'AA') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'AA' 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 "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.592773 |
CREATE TABLE table_203_121 (id NUMBER, "name" CLOB, "pos." CLOB, "caps" NUMBER, "goals" NUMBER, "club" CLOB)
| how many goals did the malm ff player -lrb- s -rrb- score ? | SELECT SUM("goals") FROM table_203_121 WHERE "club" = 'malmo ff' | SELECT SUM("goals") FROM "table_203_121" WHERE "club" = 'malmo ff' | 0.064453 |
CREATE TABLE table_name_37 (affiliation VARCHAR2, founded VARCHAR2, high_school VARCHAR2)
| What is the affiliation of a high school in Issaquah that was founded in less than 1965? | SELECT affiliation FROM table_name_37 WHERE founded < 1965 AND high_school = "issaquah" | SELECT "affiliation" FROM "table_name_37" WHERE "founded" < 1965 AND "high_school" = "issaquah" | 0.092773 |
CREATE TABLE table_17766232_7 (year_s_ NUMBER, final_television_commentator VARCHAR2)
| What is the latest year that the final television commentator was David Jacobs? | SELECT MAX(year_s_) FROM table_17766232_7 WHERE final_television_commentator = "David Jacobs" | SELECT MAX("year_s_") FROM "table_17766232_7" WHERE "David Jacobs" = "final_television_commentator" | 0.09668 |
CREATE TABLE table_32282 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was the away team when the home team scored 20.15 (135)? | SELECT "Away team score" FROM table_32282 WHERE "Home team score" = '20.15 (135)' | SELECT "Away team score" FROM "table_32282" WHERE "Home team score" = '20.15 (135)' | 0.081055 |
CREATE TABLE table_name_32 (removal_treaty__year_signed_ VARCHAR2, nation VARCHAR2)
| Which removal treaty covered the chickasaw nation? | SELECT removal_treaty__year_signed_ FROM table_name_32 WHERE nation = "chickasaw" | SELECT "removal_treaty__year_signed_" FROM "table_name_32" WHERE "chickasaw" = "nation" | 0.084961 |
CREATE TABLE table_28938 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Name the district for matthew clay | SELECT "District" FROM table_28938 WHERE "Incumbent" = 'Matthew Clay' | SELECT "District" FROM "table_28938" WHERE "Incumbent" = 'Matthew Clay' | 0.069336 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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)
| tell me what was the top five most common procedures of the patients 60 or above until 2103? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND STRFTIME('%y', procedures_icd.charttime) <= '2103' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") <= '2103' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.666016 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Enter Unabridged user's posts (non-CW). Enter A way around paging for a user's questions. Non-paged question and answers list for a user (excluding CW questions) | SELECT p.Id AS "post_link", Score, p.CreationDate AS "date/time" FROM Posts AS p WHERE p.OwnerUserId = '##UserId##' ORDER BY 'date/time' DESC | SELECT "p"."Id" AS "post_link", "Score", "p"."CreationDate" AS "date/time" FROM "Posts" "p" WHERE "p"."OwnerUserId" = '##UserId##' ORDER BY 'date/time' DESC | 0.152344 |
CREATE TABLE table_name_10 (transfer_fee VARCHAR2, moving_from VARCHAR2, nat VARCHAR2)
| Which Transfer fee has a Moving from of youth system, and a Nat of mar? | SELECT transfer_fee FROM table_name_10 WHERE moving_from = "youth system" AND nat = "mar" | SELECT "transfer_fee" FROM "table_name_10" WHERE "mar" = "nat" AND "moving_from" = "youth system" | 0.094727 |
CREATE TABLE table_train_220 ("id" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "fasting_plasma_glucose" NUMBER, "hba1c" FLOAT, "serum_creatinine" FLOAT, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
| fasting plasma glucose > 270 mg / dl | SELECT * FROM table_train_220 WHERE fasting_plasma_glucose > 270 | SELECT * FROM "table_train_220" WHERE "fasting_plasma_glucose" > 270 | 0.066406 |
CREATE TABLE table_63277 ("Part Number" CLOB, "Pins" CLOB, "Body Width/mm" FLOAT, "Body Length/mm" FLOAT, "Lead Pitch/mm" FLOAT)
| Which Lead Pitch/mm has a Body Width/mm larger than 10.16? | SELECT SUM("Lead Pitch/mm") FROM table_63277 WHERE "Body Width/mm" > '10.16' | SELECT SUM("Lead Pitch/mm") FROM "table_63277" WHERE "Body Width/mm" > '10.16' | 0.076172 |
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 PostHistoryTypes (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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Top Comments of a user. | SELECT PostId AS "post_link", Score, Text FROM Comments WHERE UserId = '##UserId##' ORDER BY Score DESC LIMIT 250 | SELECT "PostId" AS "post_link", "Score", "Text" FROM "Comments" WHERE "UserId" = '##UserId##' ORDER BY "Score" DESC FETCH FIRST 250 ROWS ONLY | 0.137695 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
| Tags by average number of views per post. | SELECT t.TagName, AVG(p.ViewCount) AS Views, COUNT(p.Id) AS "number_of_posts" FROM Posts AS p JOIN PostTags AS pt ON p.Id = pt.PostId JOIN Tags AS t ON pt.TagId = t.Id GROUP BY t.TagName ORDER BY Views DESC | SELECT "t"."TagName", AVG("p"."ViewCount") AS "Views", COUNT("p"."Id") AS "number_of_posts" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" GROUP BY "t"."TagName" ORDER BY "Views" DESC | 0.239258 |
CREATE TABLE table_name_26 (score VARCHAR2, date VARCHAR2)
| What score has may 9 as the date? | SELECT score FROM table_name_26 WHERE date = "may 9" | SELECT "score" FROM "table_name_26" WHERE "date" = "may 9" | 0.056641 |
CREATE TABLE table_67309 ("Name" CLOB, "Party" CLOB, "Hometown" CLOB, "District" CLOB, "Term" CLOB, "Legislatures" CLOB)
| Which term had a Democratic representative from district 7? | SELECT "Term" FROM table_67309 WHERE "District" = '7' AND "Party" = 'democratic' | SELECT "Term" FROM "table_67309" WHERE "District" = '7' AND "Party" = 'democratic' | 0.080078 |
CREATE TABLE table_21491 ("Cartridge" CLOB, "Bullet weight" CLOB, "Muzzle velocity" CLOB, "Muzzle energy" CLOB, "Max pressure" CLOB)
| What is the max pressure of the .38 long colt cartridge? | SELECT "Max pressure" FROM table_21491 WHERE "Cartridge" = '.38 Long Colt' | SELECT "Max pressure" FROM "table_21491" WHERE "Cartridge" = '.38 Long Colt' | 0.074219 |
CREATE TABLE table_name_8 (road_numbers VARCHAR2, class VARCHAR2, builder VARCHAR2, railroad__quantity_ VARCHAR2)
| what is the road numbers when the builder is alco, the railroad (quantity) is union pacific railroad (105) and the class is csa-2? | SELECT road_numbers FROM table_name_8 WHERE builder = "alco" AND railroad__quantity_ = "union pacific railroad (105)" AND class = "csa-2" | SELECT "road_numbers" FROM "table_name_8" WHERE "alco" = "builder" AND "class" = "csa-2" AND "railroad__quantity_" = "union pacific railroad (105)" | 0.143555 |
CREATE TABLE table_21473 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who had the high points while Dirk Nowitzki (13) had the high rebounds? | SELECT "High points" FROM table_21473 WHERE "High rebounds" = 'Dirk Nowitzki (13)' | SELECT "High points" FROM "table_21473" WHERE "High rebounds" = 'Dirk Nowitzki (13)' | 0.082031 |
CREATE TABLE table_23981 ("Round" FLOAT, "Choice" FLOAT, "Player name" CLOB, "Position" CLOB, "Height" CLOB, "Weight" FLOAT, "College" CLOB)
| Who is the player for south carolina college? | SELECT "Player name" FROM table_23981 WHERE "College" = 'South Carolina' | SELECT "Player name" FROM "table_23981" WHERE "College" = 'South Carolina' | 0.072266 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| have patient 013-28507 received a vte prophylaxis - compression stockings since 4 years ago? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-28507')) AND treatment.treatmentname = 'vte prophylaxis - compression stockings' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-28507' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'vte prophylaxis - compression stockings' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.631836 |
CREATE TABLE table_24565004_13 (period VARCHAR2, name VARCHAR2)
| Name the period for michel llodra | SELECT period FROM table_24565004_13 WHERE name = "Michel Llodra" | SELECT "period" FROM "table_24565004_13" WHERE "Michel Llodra" = "name" | 0.069336 |
CREATE TABLE table_10837 ("Rank" FLOAT, "Constituency" CLOB, "Winning party 2007" CLOB, "Swing to gain" FLOAT, "PC's place 2007" CLOB, "Result" CLOB)
| What rank was caerphilly with a Swing smaller than 6.92? | SELECT COUNT("Rank") FROM table_10837 WHERE "Swing to gain" < '6.92' AND "Constituency" = 'caerphilly' | SELECT COUNT("Rank") FROM "table_10837" WHERE "Constituency" = 'caerphilly' AND "Swing to gain" < '6.92' | 0.101563 |
CREATE TABLE table_10021158_3 (best_finish VARCHAR2, scoring_rank VARCHAR2)
| When the scoring rank was 117, what was the best finish? | SELECT best_finish FROM table_10021158_3 WHERE scoring_rank = "117" | SELECT "best_finish" FROM "table_10021158_3" WHERE "117" = "scoring_rank" | 0.071289 |
CREATE TABLE table_name_33 (goals_conceded__gc_ NUMBER, draw__pe_ VARCHAR2, goals_scored__gf_ VARCHAR2)
| Goals Conceded (GC) that has a Draw (PE) larger than 2, and a Goals Scored (GF) larger than 19? | SELECT MAX(goals_conceded__gc_) FROM table_name_33 WHERE draw__pe_ > 2 AND goals_scored__gf_ > 19 | SELECT MAX("goals_conceded__gc_") FROM "table_name_33" WHERE "draw__pe_" > 2 AND "goals_scored__gf_" > 19 | 0.102539 |
CREATE TABLE photos (photo_id NUMBER, tourist_attraction_id NUMBER, name CLOB, description CLOB, filename CLOB, other_details CLOB)
CREATE TABLE ref_attraction_types (attraction_type_code CLOB, attraction_type_description CLOB)
CREATE TABLE visits (visit_id NUMBER, tourist_attraction_id NUMBER, tourist_id NUMBER, visit_date TIME, visit_details CLOB)
CREATE TABLE tourist_attraction_features (tourist_attraction_id NUMBER, feature_id NUMBER)
CREATE TABLE street_markets (market_id NUMBER, market_details CLOB)
CREATE TABLE royal_family (royal_family_id NUMBER, royal_family_details CLOB)
CREATE TABLE tourist_attractions (tourist_attraction_id NUMBER, attraction_type_code CLOB, location_id NUMBER, how_to_get_there CLOB, name CLOB, description CLOB, opening_hours CLOB, other_details CLOB)
CREATE TABLE locations (location_id NUMBER, location_name CLOB, address CLOB, other_details CLOB)
CREATE TABLE features (feature_id NUMBER, feature_details CLOB)
CREATE TABLE hotels (hotel_id NUMBER, star_rating_code CLOB, pets_allowed_yn CLOB, price_range NUMBER, other_hotel_details CLOB)
CREATE TABLE visitors (tourist_id NUMBER, tourist_details CLOB)
CREATE TABLE staff (staff_id NUMBER, tourist_attraction_id NUMBER, name CLOB, other_details CLOB)
CREATE TABLE theme_parks (theme_park_id NUMBER, theme_park_details CLOB)
CREATE TABLE museums (museum_id NUMBER, museum_details CLOB)
CREATE TABLE shops (shop_id NUMBER, shop_details CLOB)
CREATE TABLE ref_hotel_star_ratings (star_rating_code CLOB, star_rating_description CLOB)
| What are the details and star ratings of the three hotels with the lowest price ranges? | SELECT other_hotel_details, star_rating_code FROM hotels ORDER BY price_range LIMIT 3 | SELECT "other_hotel_details", "star_rating_code" FROM "hotels" ORDER BY "price_range" FETCH FIRST 3 ROWS ONLY | 0.106445 |
CREATE TABLE table_name_76 (cfl_team VARCHAR2, player VARCHAR2)
| What CFL Team is Pascal Masson on? | SELECT cfl_team FROM table_name_76 WHERE player = "pascal masson" | SELECT "cfl_team" FROM "table_name_76" WHERE "pascal masson" = "player" | 0.069336 |
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
| Visualize a bar chart for what is the average age for each dorm and what are the names of each dorm?, and could you show Y-axis from high to low order please? | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name ORDER BY AVG(T1.Age) DESC | SELECT "dorm_name", AVG("T1"."Age") FROM "Student" "T1" JOIN "Lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" "T3" ON "T2"."dormid" = "T3"."dormid" GROUP BY "T3"."dorm_name" ORDER BY AVG("T1"."Age") DESC | 0.208008 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Unanswered questions in a tag by asker reputation. Find unanswered questions in a tag by asker reputation | SELECT Posts.Id AS "post_link", Posts.Tags AS "tags", Posts.Score, Posts.ViewCount, Posts.CreationDate, Users.LastAccessDate FROM Posts INNER JOIN PostTags ON Posts.Id = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id INNER JOIN Users ON Posts.OwnerUserId = Users.Id WHERE Tags.TagName = '##TagName##' AND Posts.AnswerCount = 0 AND Posts.PostTypeId = 1 AND Posts.CommunityOwnedDate IS NULL AND Posts.ClosedDate IS NULL AND Users.Reputation > 500 ORDER BY Users.LastAccessDate DESC | SELECT "Posts"."Id" AS "post_link", "Posts"."Tags" AS "tags", "Posts"."Score", "Posts"."ViewCount", "Posts"."CreationDate", "Users"."LastAccessDate" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Users"."Reputation" > 500 JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = '##TagName##' WHERE "Posts"."AnswerCount" = 0 AND "Posts"."ClosedDate" IS NULL AND "Posts"."CommunityOwnedDate" IS NULL AND "Posts"."PostTypeId" = 1 ORDER BY "Users"."LastAccessDate" DESC | 0.544922 |
CREATE TABLE table_name_99 (opponent VARCHAR2, attendance VARCHAR2)
| Who was the opponent when the attendance was 80,079? | SELECT opponent FROM table_name_99 WHERE attendance = "80,079" | SELECT "opponent" FROM "table_name_99" WHERE "80,079" = "attendance" | 0.066406 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is primary disease of subject name jane dillard? | SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Jane Dillard" | SELECT "demographic"."diagnosis" FROM "demographic" WHERE "Jane Dillard" = "demographic"."name" | 0.092773 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
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 stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Give me the comparison about the sum of ID over the Nationality , and group by attribute Nationality, order by the Nationality in ascending. | SELECT Nationality, SUM(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality | SELECT "Nationality", SUM("ID") FROM "swimmer" GROUP BY "Nationality" ORDER BY "Nationality" | 0.089844 |
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 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 d_icd_diagnoses (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| tell me the price for reptilase time control? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'labevents' AND cost.event_id IN (SELECT labevents.row_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'reptilase time control')) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'reptilase time control' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."row_id" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'labevents' AND NOT "_u_1"."" IS NULL | 0.453125 |
CREATE TABLE table_1670921_1 (batting_partners VARCHAR2, season VARCHAR2)
| Who are the batting partners for the 1997 season? | SELECT batting_partners FROM table_1670921_1 WHERE season = "1997" | SELECT "batting_partners" FROM "table_1670921_1" WHERE "1997" = "season" | 0.070313 |
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 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)
| provide the number of patients whose primary disease is left internal jugular vein thrombosis;left arm edema? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA" = "demographic"."diagnosis" | 0.15332 |
CREATE TABLE store (Store_ID NUMBER, Store_Name CLOB, Type CLOB, Area_size FLOAT, Number_of_product_category FLOAT, Ranking NUMBER)
CREATE TABLE store_product (Store_ID NUMBER, Product_ID NUMBER)
CREATE TABLE district (District_ID NUMBER, District_name CLOB, Headquartered_City CLOB, City_Population FLOAT, City_Area FLOAT)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi FLOAT, pages_per_minute_color FLOAT, max_page_size CLOB, interface CLOB)
CREATE TABLE store_district (Store_ID NUMBER, District_ID NUMBER)
| Return a bar chart on how many stores are headquarted in each city?, and order in desc by the bars. | SELECT Headquartered_City, COUNT(*) FROM store AS t1 JOIN store_district AS t2 ON t1.Store_ID = t2.Store_ID JOIN district AS t3 ON t2.District_ID = t3.District_ID GROUP BY t3.Headquartered_City ORDER BY Headquartered_City DESC | SELECT "Headquartered_City", COUNT(*) FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."Store_ID" = "t2"."Store_ID" JOIN "district" "t3" ON "t2"."District_ID" = "t3"."District_ID" GROUP BY "t3"."Headquartered_City" ORDER BY "Headquartered_City" DESC | 0.24707 |
CREATE TABLE table_name_82 (role VARCHAR2, tournament VARCHAR2)
| What is the Role in the 1st Division Honduras Tournament? | SELECT role FROM table_name_82 WHERE tournament = "1st division honduras" | SELECT "role" FROM "table_name_82" WHERE "1st division honduras" = "tournament" | 0.077148 |
CREATE TABLE table_26282750_1 (date_of_ceremony VARCHAR2, participants_recipients VARCHAR2)
| What date was the participant/recipient takakazu watanabe? | SELECT date_of_ceremony FROM table_26282750_1 WHERE participants_recipients = "Takakazu Watanabe" | SELECT "date_of_ceremony" FROM "table_26282750_1" WHERE "Takakazu Watanabe" = "participants_recipients" | 0.100586 |
CREATE TABLE table_50938 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| The highest draws with smaller than 9 played? | SELECT MAX("Draws") FROM table_50938 WHERE "Played" < '9' | SELECT MAX("Draws") FROM "table_50938" WHERE "Played" < '9' | 0.057617 |
CREATE TABLE table_72137 ("No. in season" FLOAT, "No. in series" FLOAT, "Title" CLOB, "Canadian airdate" CLOB, "US airdate" CLOB, "Production code" FLOAT)
| The canadian airdate of 11 february 2008 applied to what series number? | SELECT COUNT("No. in series") FROM table_72137 WHERE "Canadian airdate" = '11 February 2008' | SELECT COUNT("No. in series") FROM "table_72137" WHERE "Canadian airdate" = '11 February 2008' | 0.091797 |
CREATE TABLE table_name_47 (score VARCHAR2, country VARCHAR2)
| What is Score, when Country is 'Scotland'? | SELECT score FROM table_name_47 WHERE country = "scotland" | SELECT "score" FROM "table_name_47" WHERE "country" = "scotland" | 0.0625 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE 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 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)
| For all employees who have the letters D or S in their first name, find hire_date and the sum of manager_id bin hire_date by weekday, and visualize them by a bar chart, and I want to order from high to low by the Y. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(MANAGER_ID) DESC | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("MANAGER_ID") DESC | 0.139648 |
CREATE TABLE table_1820752_1 (signal_power___kw__ VARCHAR2, arrival_date VARCHAR2)
| If the arrival date is January 2059, what is the total amount of signal power? | SELECT COUNT(signal_power___kw__) FROM table_1820752_1 WHERE arrival_date = "January 2059" | SELECT COUNT("signal_power___kw__") FROM "table_1820752_1" WHERE "January 2059" = "arrival_date" | 0.09375 |
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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 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 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 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| what was the last height of patient 6196 until 05/2103? | 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 = 6196)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit ht' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m', chartevents.charttime) <= '2103-05' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 6196 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" = 'admit ht' 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 NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m', "chartevents"."charttime") <= '2103-05' ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.78125 |
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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| i need a flight from ST. PETERSBURG to CHARLOTTE which will get me into CHARLOTTE by 1700 or as soon thereafter as possible | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.arrival_time <= 1700 OR flight.arrival_time = (SELECT MIN(FLIGHTalias1.arrival_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'CHARLOTTE' AND FLIGHTalias1.arrival_time > 1700 AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ST. PETERSBURG' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code)) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHARLOTTE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PETERSBURG' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."arrival_time") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'ST. PETERSBURG' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "FLIGHTalias1"."arrival_time" > 1700 JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'CHARLOTTE') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ST. PETERSBURG' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "flight"."arrival_time" OR "flight"."arrival_time" <= 1700 JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CHARLOTTE' | 1.208984 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| I need to know when 145 and 630 will be as I need to get going by 5:00 P.M. if I want to be to work on time . | SELECT DISTINCT course_offering.end_time, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'department0' AND (course.number = 145 OR course.number = 630) AND course_offering.end_time < '17:00:00' AND semester.semester = 'WN' AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" < '17:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND ("course"."number" = 145 OR "course"."number" = 630) | 0.429688 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, find name and revenue , and group by attribute headquarter, and visualize them by a bar chart, and could you rank by the names from high to low? | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Name" DESC | 0.175781 |
CREATE TABLE table_name_92 (partner VARCHAR2, score_in_final VARCHAR2)
| What is the Partner of the match with a Score in Final of 5 7, 4 6? | SELECT partner FROM table_name_92 WHERE score_in_final = "5–7, 4–6" | SELECT "partner" FROM "table_name_92" WHERE "5–7, 4–6" = "score_in_final" | 0.071289 |
CREATE TABLE dorm (dormid NUMBER, dorm_name CLOB, student_capacity NUMBER, gender CLOB)
CREATE TABLE has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE dorm_amenity (amenid NUMBER, amenity_name CLOB)
| What are the first names of all students who live in the dorm with the most amenities? | SELECT T1.fname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T2.dormid FROM dorm AS T3 JOIN has_amenity AS T4 ON T3.dormid = T4.dormid JOIN dorm_amenity AS T5 ON T4.amenid = T5.amenid GROUP BY T3.dormid ORDER BY COUNT(*) DESC LIMIT 1) | SELECT "T1"."fname" FROM "student" "T1" JOIN "lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" AND "T2"."dormid" IN (SELECT "T2"."dormid" FROM "dorm" "T3" JOIN "has_amenity" "T4" ON "T3"."dormid" = "T4"."dormid" JOIN "dorm_amenity" "T5" ON "T4"."amenid" = "T5"."amenid" GROUP BY "T3"."dormid" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY) | 0.329102 |
CREATE TABLE table_name_23 (third VARCHAR2, season VARCHAR2, lead VARCHAR2, second VARCHAR2)
| What is the Third when the Lead was don bartlett, the Second was carter rycroft, and a Season of 2003 04? | SELECT third FROM table_name_23 WHERE lead = "don bartlett" AND second = "carter rycroft" AND season = "2003–04" | SELECT "third" FROM "table_name_23" WHERE "2003–04" = "season" AND "carter rycroft" = "second" AND "don bartlett" = "lead" | 0.119141 |
CREATE TABLE table_16057 ("Camp" CLOB, "Estimated deaths" CLOB, "Operational" CLOB, "Occupied territory" CLOB, "Current country of location" CLOB, "Primary means for mass killings" CLOB)
| what's the occupied territory with estimated deaths of 600,000 | SELECT "Occupied territory" FROM table_16057 WHERE "Estimated deaths" = '600,000' | SELECT "Occupied territory" FROM "table_16057" WHERE "Estimated deaths" = '600,000' | 0.081055 |
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For all employees who have the letters D or S in their first name, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id by a bar chart, and show by the total number in descending. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) DESC | SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("MANAGER_ID") DESC | 0.154297 |
CREATE TABLE table_8963 ("Tournament" CLOB, "Country" CLOB, "Location" CLOB, "Began" FLOAT, "Court surface" CLOB)
| what is the earliest began when the court surface is clay in hamburg? | SELECT MIN("Began") FROM table_8963 WHERE "Court surface" = 'clay' AND "Location" = 'hamburg' | SELECT MIN("Began") FROM "table_8963" WHERE "Court surface" = 'clay' AND "Location" = 'hamburg' | 0.092773 |
CREATE TABLE table_22319 ("Rank" FLOAT, "Place" CLOB, "County" CLOB, "Per Capita Income" CLOB, "Median House- hold Income" CLOB, "Population" FLOAT, "Number of Households" FLOAT)
| With a per capita income of $30,298, what was the total number of households? | SELECT COUNT("Number of Households") FROM table_22319 WHERE "Per Capita Income" = '$30,298' | SELECT COUNT("Number of Households") FROM "table_22319" WHERE "Per Capita Income" = '$30,298' | 0.09082 |
CREATE TABLE table_18006 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| What is the Original air date for the episode directed by Tricia Brock? | SELECT "Original air date" FROM table_18006 WHERE "Directed by" = 'Tricia Brock' | SELECT "Original air date" FROM "table_18006" WHERE "Directed by" = 'Tricia Brock' | 0.080078 |
CREATE TABLE race (Race_ID NUMBER, Name CLOB, Class CLOB, Date CLOB, Track_ID CLOB)
CREATE TABLE track (Track_ID NUMBER, Name CLOB, Location CLOB, Seating FLOAT, Year_Opened FLOAT)
| Return a histogram on what are the names of different tracks, and how many races has each had? | SELECT T2.Name, COUNT(*) FROM race AS T1 JOIN track AS T2 ON T1.Track_ID = T2.Track_ID GROUP BY T1.Track_ID | SELECT "T2"."Name", COUNT(*) FROM "race" "T1" JOIN "track" "T2" ON "T1"."Track_ID" = "T2"."Track_ID" GROUP BY "T1"."Track_ID" | 0.12207 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of founder and the sum of manufacturer , and group by attribute founder, and show in asc by the y axis. | SELECT Founder, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY SUM(Manufacturer) | SELECT "Founder", SUM("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY SUM("Manufacturer") | 0.165039 |
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
| A bar chart about how many customers use each payment method? | SELECT payment_method_code, COUNT(*) FROM Customers GROUP BY payment_method_code | SELECT "payment_method_code", COUNT(*) FROM "Customers" GROUP BY "payment_method_code" | 0.083984 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose days of hospital stay is greater than 6 and procedure long title is diagnostic ultrasound of heart? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "6" AND procedures.long_title = "Diagnostic ultrasound of heart" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Diagnostic ultrasound of heart" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "6" < "demographic"."days_stay" | 0.235352 |
CREATE TABLE users (user_id NUMBER, role_code CLOB, user_name CLOB, user_login CLOB, password CLOB)
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE documents (document_code CLOB, document_structure_code CLOB, document_type_code CLOB, access_count NUMBER, document_name CLOB)
CREATE TABLE document_structures (document_structure_code CLOB, parent_document_structure_code CLOB, document_structure_description CLOB)
CREATE TABLE document_sections_images (section_id NUMBER, image_id NUMBER)
CREATE TABLE document_sections (section_id NUMBER, document_code CLOB, section_sequence NUMBER, section_code CLOB, section_title CLOB)
CREATE TABLE document_functional_areas (document_code CLOB, functional_area_code CLOB)
CREATE TABLE functional_areas (functional_area_code CLOB, parent_functional_area_code CLOB, functional_area_description CLOB)
CREATE TABLE images (image_id NUMBER, image_alt_text CLOB, image_name CLOB, image_url CLOB)
| What is the name of the document which has been accessed the most times, as well as the number of times it has been accessed? | SELECT document_name, access_count FROM documents ORDER BY access_count DESC LIMIT 1 | SELECT "document_name", "access_count" FROM "documents" ORDER BY "access_count" DESC FETCH FIRST 1 ROWS ONLY | 0.105469 |
CREATE TABLE table_47998 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| Which week has a result L 56-3? | SELECT AVG("Week") FROM table_47998 WHERE "Result" = 'l 56-3' | SELECT AVG("Week") FROM "table_47998" WHERE "Result" = 'l 56-3' | 0.061523 |
CREATE TABLE table_name_36 (pick__number NUMBER, position VARCHAR2, round VARCHAR2)
| What is the sum of Pick #, when Position is Guard, and when Round is greater than 2? | SELECT SUM(pick__number) FROM table_name_36 WHERE position = "guard" AND round > 2 | SELECT SUM("pick__number") FROM "table_name_36" WHERE "guard" = "position" AND "round" > 2 | 0.087891 |
CREATE TABLE table_train_167 ("id" NUMBER, "alt" FLOAT, "body_weight" FLOAT, "ast" FLOAT, "hematocrit_hct" FLOAT, "thyroid_stimulating_hormone_stsh" NUMBER, "body_mass_index_bmi" FLOAT, "fasting_glucose" NUMBER, "NOUSE" FLOAT)
| alt < 60; ast < 60 | SELECT * FROM table_train_167 WHERE alt < 60 OR ast < 60 | SELECT * FROM "table_train_167" WHERE "alt" < 60 OR "ast" < 60 | 0.060547 |
CREATE TABLE table_name_20 (points VARCHAR2, time_retired VARCHAR2, car_no VARCHAR2)
| How many points were scored by car number 10 that ended with a collision? | SELECT points FROM table_name_20 WHERE time_retired = "collision" AND car_no = "10" | SELECT "points" FROM "table_name_20" WHERE "10" = "car_no" AND "collision" = "time_retired" | 0.088867 |
CREATE TABLE table_36801 ("Player" CLOB, "Attempts" FLOAT, "Yards" FLOAT, "Average" FLOAT, "Long" FLOAT, "Touchdowns" FLOAT)
| What is the lease amount of touchdowns with 1318 yards? | SELECT MIN("Touchdowns") FROM table_36801 WHERE "Yards" = '1318' | SELECT MIN("Touchdowns") FROM "table_36801" WHERE "Yards" = '1318' | 0.064453 |
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 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)
| When did James Sloan got discharged? Also specify the location | SELECT demographic.discharge_location, demographic.dischtime FROM demographic WHERE demographic.name = "James Sloan" | SELECT "demographic"."discharge_location", "demographic"."dischtime" FROM "demographic" WHERE "James Sloan" = "demographic"."name" | 0.126953 |
CREATE TABLE club (Club_ID NUMBER, name CLOB, Region CLOB, Start_year CLOB)
CREATE TABLE player (Player_ID NUMBER, name CLOB, Position CLOB, Club_ID NUMBER, Apps FLOAT, Tries FLOAT, Goals CLOB, Points FLOAT)
CREATE TABLE club_rank (Rank FLOAT, Club_ID NUMBER, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
CREATE TABLE competition_result (Competition_ID NUMBER, Club_ID_1 NUMBER, Club_ID_2 NUMBER, Score CLOB)
CREATE TABLE competition (Competition_ID NUMBER, Year FLOAT, Competition_type CLOB, Country CLOB)
| A pie chart showing the proportion of different competition types. | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type | SELECT "Competition_type", COUNT("Competition_type") FROM "competition" GROUP BY "Competition_type" | 0.09668 |
CREATE TABLE table_train_219 ("id" NUMBER, "hematocrit_hct" FLOAT, "fasting_plasma_glucose" NUMBER, "hba1c" FLOAT, "urine_protein" NUMBER, "iothalamate_clearance" NUMBER, "NOUSE" FLOAT)
| fasting plasma glucose _ 126 _ 270 | SELECT * FROM table_train_219 WHERE fasting_plasma_glucose >= 126 AND fasting_plasma_glucose <= 270 | SELECT * FROM "table_train_219" WHERE "fasting_plasma_glucose" <= 270 AND "fasting_plasma_glucose" >= 126 | 0.102539 |
CREATE TABLE table_51440 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the lowest attendance at a game when Pittsburgh was the home team? | SELECT MIN("Attendance") FROM table_51440 WHERE "Home" = 'pittsburgh' | SELECT MIN("Attendance") FROM "table_51440" WHERE "Home" = 'pittsburgh' | 0.069336 |
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 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)
| find the minimum days of hospital stay for patients born after the year 2056. | SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.dob_year > "2056" | SELECT MIN("demographic"."days_stay") FROM "demographic" WHERE "2056" < "demographic"."dob_year" | 0.09375 |
CREATE TABLE table_name_27 (visitor VARCHAR2, date VARCHAR2)
| Who was the visiting team on April 6? | SELECT visitor FROM table_name_27 WHERE date = "april 6" | SELECT "visitor" FROM "table_name_27" WHERE "april 6" = "date" | 0.060547 |
CREATE TABLE table_25719 ("#" FLOAT, "Producing Nation" CLOB, "10 3 bbl/d ( 2006 ) " CLOB, "10 3 bbl/d ( 2007 ) " FLOAT, "10 3 bbl/d ( 2008 ) " FLOAT, "10 3 bbl/d ( 2009 ) " FLOAT, "Present Share" CLOB)
| Name the present share for australia | SELECT "Present Share" FROM table_25719 WHERE "Producing Nation" = 'Australia' | SELECT "Present Share" FROM "table_25719" WHERE "Producing Nation" = 'Australia' | 0.078125 |
CREATE TABLE table_57123 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| What kind of engine is in the car for Scuderia Ferrari that went all rounds? | SELECT "Engine" FROM table_57123 WHERE "Rounds" = 'all' AND "Entrant" = 'scuderia ferrari' | SELECT "Engine" FROM "table_57123" WHERE "Entrant" = 'scuderia ferrari' AND "Rounds" = 'all' | 0.089844 |
CREATE TABLE table_204_584 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| did niki lauda receive more points than james hunt ? | SELECT (SELECT "points" FROM table_204_584 WHERE "driver" = 'niki lauda') > (SELECT "points" FROM table_204_584 WHERE "driver" = 'james hunt') | SELECT (SELECT "points" FROM "table_204_584" WHERE "driver" = 'james hunt') < (SELECT "points" FROM "table_204_584" WHERE "driver" = 'niki lauda') | 0.142578 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.