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CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_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)
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 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is patient 3939's maximum alveolar-arterial gradient value? | SELECT MAX(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3939) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'alveolar-arterial gradient') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3939 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'alveolar-arterial gradient' GROUP BY "itemid") SELECT MAX("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.473633 |
CREATE TABLE table_name_26 (notes VARCHAR2, status VARCHAR2, location VARCHAR2)
| What are the Notes of the dinosaur, whose Status is nomen dubium, and whose Location is China? | SELECT notes FROM table_name_26 WHERE status = "nomen dubium" AND location = "china" | SELECT "notes" FROM "table_name_26" WHERE "china" = "location" AND "nomen dubium" = "status" | 0.089844 |
CREATE TABLE table_23088 ("Rnd" FLOAT, "Circuit" CLOB, "LMP1 Winning Team" CLOB, "LMP2 Winning Team" CLOB, "GT2 Winning Team" CLOB, "Challenge Winning Team" CLOB, "Results" CLOB)
| Name the lmp 1 winning team for rnd being 2 and adrian fern ndez luis d az | SELECT "LMP1 Winning Team" FROM table_23088 WHERE "Rnd" = '2' AND "LMP2 Winning Team" = 'Adrian Fernández Luis Díaz' | SELECT "LMP1 Winning Team" FROM "table_23088" WHERE "LMP2 Winning Team" = 'Adrian Fernández Luis Díaz' AND "Rnd" = '2' | 0.115234 |
CREATE TABLE table_64770 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What is the total longitude of Nogosek and a GEO ID larger than 3809357060? | SELECT COUNT("Longitude") FROM table_64770 WHERE "Township" = 'nogosek' AND "GEO ID" > '3809357060' | SELECT COUNT("Longitude") FROM "table_64770" WHERE "GEO ID" > '3809357060' AND "Township" = 'nogosek' | 0.098633 |
CREATE TABLE table_name_84 (score VARCHAR2, tie_no VARCHAR2)
| What is the score when the tie number is 8? | SELECT score FROM table_name_84 WHERE tie_no = "8" | SELECT "score" FROM "table_name_84" WHERE "8" = "tie_no" | 0.054688 |
CREATE TABLE match_result (Rank NUMBER, Club_ID NUMBER, Gold NUMBER, Big_Silver NUMBER, Small_Silver NUMBER, Bronze NUMBER, Points NUMBER)
CREATE TABLE coach (Coach_ID NUMBER, Coach_name CLOB, Gender CLOB, Club_ID NUMBER, Rank NUMBER)
CREATE TABLE club (Club_ID NUMBER, Club_name CLOB, Region CLOB, Start_year NUMBER)
CREATE TABLE player_coach (Player_ID NUMBER, Coach_ID NUMBER, Starting_year NUMBER)
CREATE TABLE player (Player_ID NUMBER, Sponsor_name CLOB, Player_name CLOB, Gender CLOB, Residence CLOB, Occupation CLOB, Votes NUMBER, Rank CLOB)
| For players whose occupation is not 'Researcher', tell me the distribution of their residences with a bar chart. | SELECT Residence, COUNT(Residence) FROM player WHERE Occupation <> "Researcher" GROUP BY Residence | SELECT "Residence", COUNT("Residence") FROM "player" WHERE "Occupation" <> "Researcher" GROUP BY "Residence" | 0.105469 |
CREATE TABLE table_42629 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| Which of the highest drawn has a played less than 10? | SELECT MAX("Drawn") FROM table_42629 WHERE "Played" < '10' | SELECT MAX("Drawn") FROM "table_42629" WHERE "Played" < '10' | 0.058594 |
CREATE TABLE table_7827 ("Country" CLOB, "2010" FLOAT, "2011" FLOAT, "2012" FLOAT, "2013" FLOAT)
| What is the sum of participants in 2013 for Russia when there were 5 in 2010 and less than 4 in 2012? | SELECT SUM("2013") FROM table_7827 WHERE "2010" = '5' AND "Country" = 'russia' AND "2012" < '4' | SELECT SUM("2013") FROM "table_7827" WHERE "2010" = '5' AND "2012" < '4' AND "Country" = 'russia' | 0.094727 |
CREATE TABLE table_77718 ("Constituency" CLOB, "Conservative" CLOB, "Labour" CLOB, "Liberal Democrats" CLOB, "Plaid Cymru" CLOB, "Result" CLOB)
| In what constituency was the result labour hold and Liberal democrat Elizabeth Newton won? | SELECT "Constituency" FROM table_77718 WHERE "Result" = 'labour hold' AND "Liberal Democrats" = 'elizabeth newton' | SELECT "Constituency" FROM "table_77718" WHERE "Liberal Democrats" = 'elizabeth newton' AND "Result" = 'labour hold' | 0.113281 |
CREATE TABLE table_29427 ("No" FLOAT, "Peak" CLOB, "Location" CLOB, "Elevation ( m ) " FLOAT, "Prominence ( m ) " FLOAT, "Col height ( m ) " FLOAT, "Col location" CLOB, "Parent" CLOB)
| What is the elevation for number 39? | SELECT MAX("Elevation (m)") FROM table_29427 WHERE "No" = '39' | SELECT MAX("Elevation (m)") FROM "table_29427" WHERE "No" = '39' | 0.0625 |
CREATE TABLE table_71160 ("Margin" FLOAT, "Score" CLOB, "Opponent" CLOB, "Venue" CLOB, "Year" FLOAT)
| Name the average year for 46 margin | SELECT AVG("Year") FROM table_71160 WHERE "Margin" = '46' | SELECT AVG("Year") FROM "table_71160" WHERE "Margin" = '46' | 0.057617 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| Users with the highest rep to total posts ratio (within a specific tag). | SELECT u.Id, u.DisplayName, u.Reputation, n.NumPosts AS "total_number_of_posts", CAST(u.Reputation AS FLOAT) / n.NumPosts AS Ratio FROM Users AS u INNER JOIN (SELECT p.OwnerUserId, COUNT(*) AS NumPosts FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE p.PostTypeId IN (1, 2) GROUP BY p.OwnerUserId HAVING COUNT(*) >= '##MinPosts?10##') AS n ON n.OwnerUserId = u.Id WHERE u.Reputation > '##MinRep?1##' ORDER BY Ratio LIMIT 50 | WITH "n" AS (SELECT "p"."OwnerUserId", COUNT(*) AS "NumPosts" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" WHERE "p"."PostTypeId" IN (1, 2) GROUP BY "p"."OwnerUserId" HAVING COUNT(*) >= '##MinPosts?10##') SELECT "u"."Id", "u"."DisplayName", "u"."Reputation", "n"."NumPosts" AS "total_number_of_posts", CAST("u"."Reputation" AS FLOAT) / NULLIF("n"."NumPosts", 0) AS "Ratio" FROM "Users" "u" JOIN "n" "n" ON "n"."OwnerUserId" = "u"."Id" WHERE "u"."Reputation" > '##MinRep?1##' ORDER BY "Ratio" FETCH FIRST 50 ROWS ONLY | 0.566406 |
CREATE TABLE table_17001658_5 (score VARCHAR2, game VARCHAR2)
| What was the final score in game 15? | SELECT score FROM table_17001658_5 WHERE game = 15 | SELECT "score" FROM "table_17001658_5" WHERE "game" = 15 | 0.054688 |
CREATE TABLE table_71465 ("Episode title" CLOB, "Villain ( s ) " CLOB, "Identity ( ies ) " CLOB, "Reason ( s ) " CLOB, "Original airdate" CLOB, "DVD volume" FLOAT)
| What identities have more than 5 DVD volumes? | SELECT "Identity(ies)" FROM table_71465 WHERE "DVD volume" > '5' | SELECT "Identity(ies)" FROM "table_71465" WHERE "DVD volume" > '5' | 0.064453 |
CREATE TABLE table_17323042_11 (record VARCHAR2, high_points VARCHAR2)
| What was the W-L record when HIgh Points was andre miller (30)? | SELECT record FROM table_17323042_11 WHERE high_points = "Andre Miller (30)" | SELECT "record" FROM "table_17323042_11" WHERE "Andre Miller (30)" = "high_points" | 0.080078 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| what is the number of patients whose days of hospital stay is greater than 9 and drug name is ibuprofen suspension? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "9" AND prescriptions.drug = "Ibuprofen Suspension" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Ibuprofen Suspension" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "9" < "demographic"."days_stay" | 0.228516 |
CREATE TABLE table_name_64 (home_team VARCHAR2, venue VARCHAR2)
| What is the Home Team Score at Windy Hill? | SELECT home_team AS score FROM table_name_64 WHERE venue = "windy hill" | SELECT "home_team" AS "score" FROM "table_name_64" WHERE "venue" = "windy hill" | 0.077148 |
CREATE TABLE table_name_33 (game NUMBER, date VARCHAR2)
| What is the lowest game number on 20 July 2008? | SELECT MIN(game) FROM table_name_33 WHERE date = "20 july 2008" | SELECT MIN("game") FROM "table_name_33" WHERE "20 july 2008" = "date" | 0.067383 |
CREATE TABLE table_48727 ("Driver" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT, "Points" FLOAT)
| If a team has a grid of over 8 with less than 4 points, what's the team name? | SELECT "Team" FROM table_48727 WHERE "Grid" > '8' AND "Points" < '4' | SELECT "Team" FROM "table_48727" WHERE "Grid" > '8' AND "Points" < '4' | 0.068359 |
CREATE TABLE table_name_73 (nickname VARCHAR2, age___ma__ VARCHAR2)
| Name the nickname with age of 4.9 | SELECT nickname FROM table_name_73 WHERE age___ma__ = "4.9" | SELECT "nickname" FROM "table_name_73" WHERE "4.9" = "age___ma__" | 0.063477 |
CREATE TABLE table_16729930_17 (memory VARCHAR2, part_number_s_ VARCHAR2)
| Name the memory for part number of ct80618003201aa | SELECT memory FROM table_16729930_17 WHERE part_number_s_ = "CT80618003201AA" | SELECT "memory" FROM "table_16729930_17" WHERE "CT80618003201AA" = "part_number_s_" | 0.081055 |
CREATE TABLE table_54053 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who is the away side when the crowd is over 14,112 with an away team score of 11.11 (77)? | SELECT "Away team" FROM table_54053 WHERE "Crowd" > '14,112' AND "Away team score" = '11.11 (77)' | SELECT "Away team" FROM "table_54053" WHERE "Away team score" = '11.11 (77)' AND "Crowd" > '14,112' | 0.09668 |
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, give me the comparison about the sum of manufacturer over the name , and group by attribute name by a bar chart, show in asc by the total number. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Manufacturer | SELECT "T1"."Name", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Manufacturer" | 0.168945 |
CREATE TABLE table_64947 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| What country is Larry Mize from? | SELECT "Country" FROM table_64947 WHERE "Player" = 'larry mize' | SELECT "Country" FROM "table_64947" WHERE "Player" = 'larry mize' | 0.063477 |
CREATE TABLE table_17531 ("Number" FLOAT, "Name" CLOB, "Titles" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Defenses" FLOAT)
| Who was the opponent when the result was ud 12/12 and date was 1993-05-22? | SELECT "Opponent" FROM table_17531 WHERE "Result" = 'UD 12/12' AND "Date" = '1993-05-22' | SELECT "Opponent" FROM "table_17531" WHERE "Date" = '1993-05-22' AND "Result" = 'UD 12/12' | 0.087891 |
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)
| give me the number of patients whose discharge location is disch-tran to psych hosp and primary disease is s/p hanging? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "S/P HANGING" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location" AND "S/P HANGING" = "demographic"."diagnosis" | 0.179688 |
CREATE TABLE table_name_35 (years_of_operation VARCHAR2, location VARCHAR2)
| During what Years of Operation was the location prospect 33 prospect ave? | SELECT years_of_operation FROM table_name_35 WHERE location = "prospect 33 prospect ave" | SELECT "years_of_operation" FROM "table_name_35" WHERE "location" = "prospect 33 prospect ave" | 0.091797 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what age does patient 95892 have in this hospital encounter? | SELECT admissions.age FROM admissions WHERE admissions.subject_id = 95892 AND admissions.dischtime IS NULL | SELECT "admissions"."age" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 95892 | 0.117188 |
CREATE TABLE table_7449 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Which Nationality has a School/Club Team of louisiana state? | SELECT "Nationality" FROM table_7449 WHERE "School/Club Team" = 'louisiana state' | SELECT "Nationality" FROM "table_7449" WHERE "School/Club Team" = 'louisiana state' | 0.081055 |
CREATE TABLE table_27973 ("#" FLOAT, "Airdate" CLOB, "No. of couples" FLOAT, "First couple" CLOB, "Second couple" CLOB, "Third couple" CLOB, "Fourth couple" CLOB, "Viewers ( millions ) " CLOB, "ITV1 weekly ranking" FLOAT)
| Who was the second couple for the episode having an ITV1 ranking of 29? | SELECT "Second couple" FROM table_27973 WHERE "ITV1 weekly ranking" = '29' | SELECT "Second couple" FROM "table_27973" WHERE "ITV1 weekly ranking" = '29' | 0.074219 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what is the three most commonly received procedure for patients with 20s since 4 years ago? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 20 AND 29) AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 29 AND "patient"."age" >= 20 GROUP BY "patientunitstayid"), "t1" AS (SELECT "treatment"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_0"."" IS NULL GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.53418 |
CREATE TABLE table_name_93 (city___state VARCHAR2, winner VARCHAR2, date VARCHAR2)
| What is City / State, when Winner is Mal Rose, and when Date is 20 Jul? | SELECT city___state FROM table_name_93 WHERE winner = "mal rose" AND date = "20 jul" | SELECT "city___state" FROM "table_name_93" WHERE "20 jul" = "date" AND "mal rose" = "winner" | 0.089844 |
CREATE TABLE table_34412 ("Game" FLOAT, "December" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
| Which December has a Record of 21 6 5? | SELECT AVG("December") FROM table_34412 WHERE "Record" = '21–6–5' | SELECT AVG("December") FROM "table_34412" WHERE "Record" = '21–6–5' | 0.06543 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many patients were discharged from hospitals during this year? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND DATETIME(patient.hospitaldischargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE DATETIME("patient"."hospitaldischargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "patient"."hospitaldischargetime" IS NULL | 0.225586 |
CREATE TABLE table_75404 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| What is the fewest wins that has fewer than 23 goals scored, team of 2 de Mayo, and fewer than 7 draws? | SELECT MIN("Wins") FROM table_75404 WHERE "Scored" < '23' AND "Team" = '2 de mayo' AND "Draws" < '7' | SELECT MIN("Wins") FROM "table_75404" WHERE "Draws" < '7' AND "Scored" < '23' AND "Team" = '2 de mayo' | 0.099609 |
CREATE TABLE table_50127 ("Opposing Team" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| Which venue had the opposing team Natal? | SELECT "Venue" FROM table_50127 WHERE "Opposing Team" = 'natal' | SELECT "Venue" FROM "table_50127" WHERE "Opposing Team" = 'natal' | 0.063477 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
| most cited papers for Semantic Segmentation | SELECT DISTINCT cite.citedpaperid, COUNT(cite.citedpaperid) FROM cite, keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Semantic Segmentation' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = cite.citedpaperid AND paper.paperid = paperkeyphrase.paperid GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citedpaperid) DESC | SELECT DISTINCT "cite"."citedpaperid", COUNT("cite"."citedpaperid") FROM "cite" JOIN "paper" ON "cite"."citedpaperid" = "paper"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'Semantic Segmentation' GROUP BY "cite"."citedpaperid" ORDER BY COUNT("cite"."citedpaperid") DESC | 0.410156 |
CREATE TABLE table_64909 ("Rank" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" FLOAT)
| What's the lowest rank of Lane 3? | SELECT MIN("Rank") FROM table_64909 WHERE "Lane" = '3' | SELECT MIN("Rank") FROM "table_64909" WHERE "Lane" = '3' | 0.054688 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| What are the names of products with price at most 200, and count them by a bar chart, and rank by the y axis in ascending. | SELECT Name, COUNT(Name) FROM Products WHERE Price <= 200 GROUP BY Name ORDER BY COUNT(Name) | SELECT "Name", COUNT("Name") FROM "Products" WHERE "Price" <= 200 GROUP BY "Name" ORDER BY COUNT("Name") | 0.101563 |
CREATE TABLE table_name_18 (event VARCHAR2, record VARCHAR2)
| Which event had the record of 18 5 (1)? | SELECT event FROM table_name_18 WHERE record = "18–5 (1)" | SELECT "event" FROM "table_name_18" WHERE "18–5 (1)" = "record" | 0.061523 |
CREATE TABLE table_51591 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| What is the ICAO for Antalya Airport? | SELECT "ICAO" FROM table_51591 WHERE "Airport" = 'antalya airport' | SELECT "ICAO" FROM "table_51591" WHERE "Airport" = 'antalya airport' | 0.066406 |
CREATE TABLE Payments (payment_id NUMBER, booking_id NUMBER, customer_id NUMBER, payment_type_code VARCHAR2, amount_paid_in_full_yn VARCHAR2, payment_date DATETIME, amount_due NUMBER, amount_paid NUMBER)
CREATE TABLE View_Product_Availability (product_id NUMBER, booking_id NUMBER, status_date DATETIME, available_yn VARCHAR2)
CREATE TABLE Products_Booked (booking_id NUMBER, product_id NUMBER, returned_yn VARCHAR2, returned_late_yn VARCHAR2, booked_count NUMBER, booked_amount FLOAT)
CREATE TABLE Discount_Coupons (coupon_id NUMBER, date_issued DATETIME, coupon_amount NUMBER)
CREATE TABLE Customers (customer_id NUMBER, coupon_id NUMBER, good_or_bad_customer VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, gender_mf VARCHAR2, date_became_customer DATETIME, date_last_hire DATETIME)
CREATE TABLE Bookings (booking_id NUMBER, customer_id NUMBER, booking_status_code VARCHAR2, returned_damaged_yn VARCHAR2, booking_start_date DATETIME, booking_end_date DATETIME, count_hired VARCHAR2, amount_payable NUMBER, amount_of_discount NUMBER, amount_outstanding NUMBER, amount_of_refund NUMBER)
CREATE TABLE Products_for_Hire (product_id NUMBER, product_type_code VARCHAR2, daily_hire_cost NUMBER, product_name VARCHAR2, product_description VARCHAR2)
| What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check, and count them by a line chart, show X from low to high order. | SELECT payment_date, COUNT(payment_date) FROM Payments WHERE amount_paid > 300 OR payment_type_code = 'Check' GROUP BY payment_date ORDER BY payment_date | SELECT "payment_date", COUNT("payment_date") FROM "Payments" WHERE "amount_paid" > 300 OR "payment_type_code" = 'Check' GROUP BY "payment_date" ORDER BY "payment_date" | 0.163086 |
CREATE TABLE table_name_87 (lost NUMBER, goals_scored VARCHAR2, place VARCHAR2)
| What the lost in place less than 3 and having more than 63 goals scored? | SELECT SUM(lost) FROM table_name_87 WHERE goals_scored > 63 AND place < 3 | SELECT SUM("lost") FROM "table_name_87" WHERE "goals_scored" > 63 AND "place" < 3 | 0.079102 |
CREATE TABLE table_name_16 (crowd NUMBER, venue VARCHAR2)
| What is the average crowd size at glenferrie oval? | SELECT AVG(crowd) FROM table_name_16 WHERE venue = "glenferrie oval" | SELECT AVG("crowd") FROM "table_name_16" WHERE "glenferrie oval" = "venue" | 0.072266 |
CREATE TABLE table_62609 ("Player" CLOB, "Country" CLOB, "Year won" FLOAT, "Total" FLOAT, "To par" FLOAT)
| What is the total of the player who won before 1991 and has a to par less than 14? | SELECT COUNT("Total") FROM table_62609 WHERE "Year won" < '1991' AND "To par" < '14' | SELECT COUNT("Total") FROM "table_62609" WHERE "To par" < '14' AND "Year won" < '1991' | 0.083984 |
CREATE TABLE table_31837 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Tell me the method for pride 33 | SELECT "Method" FROM table_31837 WHERE "Event" = 'pride 33' | SELECT "Method" FROM "table_31837" WHERE "Event" = 'pride 33' | 0.05957 |
CREATE TABLE table_63631 ("Vessel" CLOB, "Origin" CLOB, "Type" CLOB, "In service" FLOAT, "Unit" CLOB)
| What type of ship is a Kobben class vessel that has been in service longer than 2? | SELECT "Type" FROM table_63631 WHERE "In service" > '2' AND "Vessel" = 'kobben class' | SELECT "Type" FROM "table_63631" WHERE "In service" > '2' AND "Vessel" = 'kobben class' | 0.084961 |
CREATE TABLE table_name_55 (year NUMBER, mixed_doubles VARCHAR2)
| When did mika heinonen susanna dahlberg win mixed doubles? | SELECT AVG(year) FROM table_name_55 WHERE mixed_doubles = "mika heinonen susanna dahlberg" | SELECT AVG("year") FROM "table_name_55" WHERE "mika heinonen susanna dahlberg" = "mixed_doubles" | 0.09375 |
CREATE TABLE table_name_52 (game NUMBER, date VARCHAR2)
| What is the game number held on May 20? | SELECT AVG(game) FROM table_name_52 WHERE date = "may 20" | SELECT AVG("game") FROM "table_name_52" WHERE "date" = "may 20" | 0.061523 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients are diagnosed with staphylococcus pneumonia have blood gas lab test category? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Other Staphylococcus pneumonia" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Other Staphylococcus pneumonia" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.28418 |
CREATE TABLE table_32651 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many times is st kilda the away team? | SELECT COUNT("Crowd") FROM table_32651 WHERE "Away team" = 'st kilda' | SELECT COUNT("Crowd") FROM "table_32651" WHERE "Away team" = 'st kilda' | 0.069336 |
CREATE TABLE table_name_99 (matches NUMBER, clubs VARCHAR2)
| What is the lowest number of matches that has a Clubs of 46 32? | SELECT MIN(matches) FROM table_name_99 WHERE clubs = "46 → 32" | SELECT MIN("matches") FROM "table_name_99" WHERE "46 → 32" = "clubs" | 0.066406 |
CREATE TABLE table_25996 ("Year" FLOAT, "Title of Movie" CLOB, "Name of Role" CLOB, "Nature of Role" CLOB, "Co-Artists" CLOB, "Location" CLOB)
| Name the location for 2007 | SELECT "Location" FROM table_25996 WHERE "Year" = '2007' | SELECT "Location" FROM "table_25996" WHERE "Year" = '2007' | 0.056641 |
CREATE TABLE table_70103 ("Tournament" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB)
| Name the 2011 for tokyo tournament | SELECT "2011" FROM table_70103 WHERE "Tournament" = 'tokyo' | SELECT "2011" FROM "table_70103" WHERE "Tournament" = 'tokyo' | 0.05957 |
CREATE TABLE table_17311759_9 (location_attendance VARCHAR2, high_assists VARCHAR2)
| When mike bibby (9) has the highest amount of assists what is the location and attendance? | SELECT location_attendance FROM table_17311759_9 WHERE high_assists = "Mike Bibby (9)" | SELECT "location_attendance" FROM "table_17311759_9" WHERE "Mike Bibby (9)" = "high_assists" | 0.089844 |
CREATE TABLE table_26745 ("April 2013 Cum. Rank" FLOAT, "Name" CLOB, "Rank 2012" FLOAT, "Rank 2013" FLOAT, "Base" CLOB, "2013 rev ( bil. USD ) " CLOB, "2013 Profit ( mil. USD ) " CLOB, "Assets 2013 ( bil.$ ) " CLOB, "Market cap March 15 ( mil.$ ) " FLOAT)
| Name the number of assets for australia | SELECT COUNT("Assets 2013 (bil.$)") FROM table_26745 WHERE "Base" = 'Australia' | SELECT COUNT("Assets 2013 (bil.$)") FROM "table_26745" WHERE "Base" = 'Australia' | 0.079102 |
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, find name and the sum of price , and group by attribute name, and visualize them by a bar chart, and list y-axis from high to low order. | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Price DESC | SELECT "T1"."Name", "T1"."Price" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Price" DESC | 0.160156 |
CREATE TABLE table_name_42 (score VARCHAR2, decision VARCHAR2, october VARCHAR2)
| What was the score of the game on October 20 with a decision of Lundqvist? | SELECT score FROM table_name_42 WHERE decision = "lundqvist" AND october = "20" | SELECT "score" FROM "table_name_42" WHERE "20" = "october" AND "decision" = "lundqvist" | 0.084961 |
CREATE TABLE table_22347090_4 (no_in_series NUMBER, us_viewers__million_ VARCHAR2)
| Which series number had 1.98 million viewers? | SELECT MIN(no_in_series) FROM table_22347090_4 WHERE us_viewers__million_ = "1.98" | SELECT MIN("no_in_series") FROM "table_22347090_4" WHERE "1.98" = "us_viewers__million_" | 0.085938 |
CREATE TABLE table_5161 ("Round" CLOB, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "Team" CLOB)
| What is the Overall number for pick 17? | SELECT "Overall" FROM table_5161 WHERE "Pick" = '17' | SELECT "Overall" FROM "table_5161" WHERE "Pick" = '17' | 0.052734 |
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
| Find the ids and first names of the 3 teachers that have the most number of assessment notes? | SELECT T1.teacher_id, T2.first_name FROM assessment_notes AS T1 JOIN teachers AS T2 ON T1.teacher_id = T2.teacher_id GROUP BY T1.teacher_id ORDER BY COUNT(*) DESC LIMIT 3 | SELECT "T1"."teacher_id", "T2"."first_name" FROM "assessment_notes" "T1" JOIN "teachers" "T2" ON "T1"."teacher_id" = "T2"."teacher_id" GROUP BY "T1"."teacher_id" ORDER BY COUNT(*) DESC FETCH FIRST 3 ROWS ONLY | 0.203125 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE 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 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE 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 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
| show me all flights from PHILADELPHIA to ATLANTA that leave after 1700 on wednesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time > 1700 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" > 1700 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.734375 |
CREATE TABLE table_15917 ("School" CLOB, "Location" CLOB, "Founded" FLOAT, "Affiliation" CLOB, "Enrollment" FLOAT, "Team Nickname" CLOB, "Primary conference" CLOB)
| How many of the schools listed are in Ames, IA? | SELECT COUNT("Primary conference") FROM table_15917 WHERE "Location" = 'Ames, IA' | SELECT COUNT("Primary conference") FROM "table_15917" WHERE "Location" = 'Ames, IA' | 0.081055 |
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 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| All my questions with scores and titles. | SELECT q.Id AS "post_id", q.Score, q.Title FROM Posts AS q WHERE q.PostTypeId = 1 AND q.OwnerUserId = '##UserId##' | SELECT "q"."Id" AS "post_id", "q"."Score", "q"."Title" FROM "Posts" "q" WHERE "q"."OwnerUserId" = '##UserId##' AND "q"."PostTypeId" = 1 | 0.131836 |
CREATE TABLE table_name_63 (region VARCHAR2, districts VARCHAR2, capital VARCHAR2)
| What is the region for Chep n with 3 districts? | SELECT region FROM table_name_63 WHERE districts = 3 AND capital = "chepén" | SELECT "region" FROM "table_name_63" WHERE "capital" = "chepén" AND "districts" = 3 | 0.081055 |
CREATE TABLE table_204_123 (id NUMBER, "week" NUMBER, "date" CLOB, "kickoff" CLOB, "opponent" CLOB, "results\ final score" CLOB, "results\ team record" CLOB, "game site" CLOB, "attendance" NUMBER)
| which week has the same kickoff time as week 6 ? | SELECT "week" FROM table_204_123 WHERE "week" <> 6 AND "kickoff" = (SELECT "kickoff" FROM table_204_123 WHERE "week" = 6) | SELECT "week" FROM "table_204_123" WHERE "kickoff" = (SELECT "kickoff" FROM "table_204_123" WHERE "week" = 6) AND "week" <> 6 | 0.12207 |
CREATE TABLE table_30077 ("Player" CLOB, "Played" FLOAT, "Legs Won" FLOAT, "Legs Lost" FLOAT, "100+" FLOAT, "140+" FLOAT, "180s" FLOAT, "High Checkout" FLOAT, "3-dart Average" CLOB)
| Who was the player when the 180s was 15? | SELECT "Player" FROM table_30077 WHERE "180s" = '15' | SELECT "Player" FROM "table_30077" WHERE "180s" = '15' | 0.052734 |
CREATE TABLE table_274117_5 (position VARCHAR2, year_of_induction_into_pro_football_hall_of_fame VARCHAR2)
| What position was the player who was inducted into the Pro Football Hall of Fame in 1980? | SELECT position FROM table_274117_5 WHERE year_of_induction_into_pro_football_hall_of_fame = "1980" | SELECT "position" FROM "table_274117_5" WHERE "1980" = "year_of_induction_into_pro_football_hall_of_fame" | 0.102539 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_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 (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| What special topics classes are there next Winter ? | SELECT DISTINCT course.department, course.name, 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.number = 398 OR course.number = 498 OR course.number = 598) AND course.department = 'EECS' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 WHERE "course"."department" = 'EECS' AND ("course"."number" = 398 OR "course"."number" = 498 OR "course"."number" = 598) | 0.417969 |
CREATE TABLE resultsdata15 (sample_pk NUMBER, commod CLOB, commtype CLOB, lab CLOB, pestcode CLOB, testclass CLOB, concen NUMBER, lod NUMBER, conunit CLOB, confmethod CLOB, confmethod2 CLOB, annotate CLOB, quantitate CLOB, mean CLOB, extract CLOB, determin CLOB)
CREATE TABLE sampledata15 (sample_pk NUMBER, state CLOB, year CLOB, month CLOB, day CLOB, site CLOB, commod CLOB, source_id CLOB, variety CLOB, origin CLOB, country CLOB, disttype CLOB, commtype CLOB, claim CLOB, quantity NUMBER, growst CLOB, packst CLOB, distst CLOB)
| Where do the US import the most food ? | SELECT MAX(country) FROM sampledata15 | SELECT MAX("country") FROM "sampledata15" | 0.040039 |
CREATE TABLE table_203_661 (id NUMBER, "year" NUMBER, "single" CLOB, "peak chart positions\ us mod" NUMBER, "peak chart positions\ uk" NUMBER, "album" CLOB)
| which album had the single automatic ? | SELECT "album" FROM table_203_661 WHERE "single" = '"automatic"' | SELECT "album" FROM "table_203_661" WHERE "single" = '"automatic"' | 0.064453 |
CREATE TABLE table_name_93 (ship_type VARCHAR2, tonnage VARCHAR2)
| With a tonnage of 225 what is the ship type? | SELECT ship_type FROM table_name_93 WHERE tonnage = "225" | SELECT "ship_type" FROM "table_name_93" WHERE "225" = "tonnage" | 0.061523 |
CREATE TABLE table_52272 ("Name" CLOB, "Years" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" CLOB, "Roll" FLOAT)
| What is the name of the school with a decile of 1, a state authority, and located in Otahuhu? | SELECT "Name" FROM table_52272 WHERE "Decile" = '1' AND "Authority" = 'state' AND "Area" = 'otahuhu' | SELECT "Name" FROM "table_52272" WHERE "Area" = 'otahuhu' AND "Authority" = 'state' AND "Decile" = '1' | 0.099609 |
CREATE TABLE table_18958648_1 (state_and_district_of_columbia VARCHAR2, overweight__incl_obese__adults VARCHAR2)
| What is every state and District of Columbia with 60.0% overweight or obese adults? | SELECT state_and_district_of_columbia FROM table_18958648_1 WHERE overweight__incl_obese__adults = "60.0%" | SELECT "state_and_district_of_columbia" FROM "table_18958648_1" WHERE "60.0%" = "overweight__incl_obese__adults" | 0.109375 |
CREATE TABLE table_62335 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is the Ti no of the Walsall Home game? | SELECT "Tie no" FROM table_62335 WHERE "Home team" = 'walsall' | SELECT "Tie no" FROM "table_62335" WHERE "Home team" = 'walsall' | 0.0625 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose procedure long title is replacement of tube or enterostomy device of small intestine and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Replacement of tube or enterostomy device of small intestine" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Replacement of tube or enterostomy device of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.316406 |
CREATE TABLE d_icd_diagnoses (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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| tell me the amount of .9% normal saline that patient 25696 has received on 02/11/last year. | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25696)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', inputevents_cv.charttime) = '02-11' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25696 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = '.9% normal saline' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "inputevents_cv"."charttime") = '02-11' | 0.858398 |
CREATE TABLE table_name_8 (opponent VARCHAR2, event VARCHAR2)
| Which Opponent has an Event of king of the cage: shock and awe? | SELECT opponent FROM table_name_8 WHERE event = "king of the cage: shock and awe" | SELECT "opponent" FROM "table_name_8" WHERE "event" = "king of the cage: shock and awe" | 0.084961 |
CREATE TABLE table_name_35 (date VARCHAR2, record VARCHAR2)
| On which date was the record of 43.89 m set? | SELECT date FROM table_name_35 WHERE record = "43.89 m" | SELECT "date" FROM "table_name_35" WHERE "43.89 m" = "record" | 0.05957 |
CREATE TABLE table_14754471_1 (hispanic___percentage_ VARCHAR2, free_reduced_lunch___percentage_ VARCHAR2)
| What percentage of hispanics are there when the free/reduced lunch percentage is 81.4? | SELECT hispanic___percentage_ FROM table_14754471_1 WHERE free_reduced_lunch___percentage_ = "81.4" | SELECT "hispanic___percentage_" FROM "table_14754471_1" WHERE "81.4" = "free_reduced_lunch___percentage_" | 0.102539 |
CREATE TABLE table_name_80 (home_team VARCHAR2, tie_no VARCHAR2)
| Who was the Home team in Tie #23? | SELECT home_team FROM table_name_80 WHERE tie_no = 23 | SELECT "home_team" FROM "table_name_80" WHERE "tie_no" = 23 | 0.057617 |
CREATE TABLE table_name_50 (number NUMBER, name VARCHAR2)
| What is Tim Andree's greatest number? | SELECT MAX(number) FROM table_name_50 WHERE name = "tim andree" | SELECT MAX("number") FROM "table_name_50" WHERE "name" = "tim andree" | 0.067383 |
CREATE TABLE table_name_11 (home VARCHAR2, league VARCHAR2, away VARCHAR2)
| What is the home for league 3rd liga, and an away of 4-0? | SELECT home FROM table_name_11 WHERE league = "3rd liga" AND away = "4-0" | SELECT "home" FROM "table_name_11" WHERE "3rd liga" = "league" AND "4-0" = "away" | 0.079102 |
CREATE TABLE table_204_596 (id NUMBER, "year" NUMBER, "winners" CLOB, "score" CLOB, "runners up" CLOB, "notes" CLOB)
| which team came in as runners up the most often between 1950 and 1960 | SELECT "runners up" FROM table_204_596 WHERE "year" >= 1950 AND "year" <= 1960 GROUP BY "runners up" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "runners up" FROM "table_204_596" WHERE "year" <= 1960 AND "year" >= 1950 GROUP BY "runners up" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.145508 |
CREATE TABLE table_name_20 (date VARCHAR2, record VARCHAR2)
| What is the Date of the game with a Record of 12 7 6? | SELECT date FROM table_name_20 WHERE record = "12–7–6" | SELECT "date" FROM "table_name_20" WHERE "12–7–6" = "record" | 0.058594 |
CREATE TABLE table_name_2 (winning_team VARCHAR2, score VARCHAR2)
| who won by a score of 4-1? | SELECT winning_team FROM table_name_2 WHERE score = "4-1" | SELECT "winning_team" FROM "table_name_2" WHERE "4-1" = "score" | 0.061523 |
CREATE TABLE table_name_43 (date VARCHAR2, result VARCHAR2)
| On what date was the result w 20-17? | SELECT date FROM table_name_43 WHERE result = "w 20-17" | SELECT "date" FROM "table_name_43" WHERE "result" = "w 20-17" | 0.05957 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| flights from NEWARK to CLEVELAND DAILY | 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 (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEWARK' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CLEVELAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.flight_days = 'DAILY' | 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" = 'NEWARK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."flight_days" = 'DAILY' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CLEVELAND' | 0.519531 |
CREATE TABLE table_name_83 (tournament VARCHAR2, opponent VARCHAR2)
| In which tournament was the opponent Lauren Embree? | SELECT tournament FROM table_name_83 WHERE opponent = "lauren embree" | SELECT "tournament" FROM "table_name_83" WHERE "lauren embree" = "opponent" | 0.073242 |
CREATE TABLE table_61746 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| Which country scored 70-68-71-71=280? | SELECT "Country" FROM table_61746 WHERE "Score" = '70-68-71-71=280' | SELECT "Country" FROM "table_61746" WHERE "Score" = '70-68-71-71=280' | 0.067383 |
CREATE TABLE table_12440 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| From what Country is T2 Finish Player Gary Player? | SELECT "Country" FROM table_12440 WHERE "Finish" = 't2' AND "Player" = 'gary player' | SELECT "Country" FROM "table_12440" WHERE "Finish" = 't2' AND "Player" = 'gary player' | 0.083984 |
CREATE TABLE table_22560 ("Date" FLOAT, "Single" CLOB, "Backed with" CLOB, "Record label" CLOB, "Format" CLOB, "Other details" CLOB)
| What year was 'moped girls' released? | SELECT "Date" FROM table_22560 WHERE "Single" = 'Moped Girls' | SELECT "Date" FROM "table_22560" WHERE "Single" = 'Moped Girls' | 0.061523 |
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what were the five most frequent drugs that were prescribed in the same month to patients of age 40s after being diagnosed with hypovolemia since 6 years ago? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hypovolemia') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.age BETWEEN 40 AND 49 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-6 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-6 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hypovolemia' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 1.003906 |
CREATE TABLE table_7514 ("8:00" CLOB, "8:30" CLOB, "9:00" CLOB, "9:30" CLOB, "10:00" CLOB)
| What is airing at 8:00 on the channel that airs Castle at 10:00? | SELECT "8:00" FROM table_7514 WHERE "10:00" = 'castle' | SELECT "8:00" FROM "table_7514" WHERE "10:00" = 'castle' | 0.054688 |
CREATE TABLE table_14592 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Which Res has an Event of UFC 122? | SELECT "Res." FROM table_14592 WHERE "Event" = 'ufc 122' | SELECT "Res." FROM "table_14592" WHERE "Event" = 'ufc 122' | 0.056641 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| How many patients diagnosed with icd9 code 3310 had a pleural fluid test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "3310" AND lab.fluid = "Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "3310" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Pleural" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.25293 |
CREATE TABLE table_21721351_18 (pick__number NUMBER, player VARCHAR2)
| What is the pick # for player david grannis? | SELECT MAX(pick__number) FROM table_21721351_18 WHERE player = "David Grannis" | SELECT MAX("pick__number") FROM "table_21721351_18" WHERE "David Grannis" = "player" | 0.082031 |
CREATE TABLE table_69950 ("Program" CLOB, "Degree" CLOB, "Teaching language" CLOB, "Duration ( years ) " FLOAT, "full-time/part-time" CLOB, "ECTS Credit Points" FLOAT)
| How many ECTS credit points occur with Master in Management? | SELECT COUNT("ECTS Credit Points") FROM table_69950 WHERE "Program" = 'master in management' | SELECT COUNT("ECTS Credit Points") FROM "table_69950" WHERE "Program" = 'master in management' | 0.091797 |
CREATE TABLE table_1137142_1 (group_b_winner VARCHAR2, group_c_winner VARCHAR2)
| What is the number of group b winner for francavilla? | SELECT COUNT(group_b_winner) FROM table_1137142_1 WHERE group_c_winner = "Francavilla" | SELECT COUNT("group_b_winner") FROM "table_1137142_1" WHERE "Francavilla" = "group_c_winner" | 0.089844 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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)
| how many times has patient 016-3041 produced a actual patient fluid removal output in 03/last year? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-3041')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'actual patient fluid removal' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', intakeoutput.intakeoutputtime) = '03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-3041' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'actual patient fluid removal' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "intakeoutput"."intakeoutputtime") = '03' | 0.763672 |
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