schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
---|---|---|---|---|
CREATE TABLE table_name_25 (place VARCHAR, player VARCHAR)
|
What is the place of player tom watson?
|
SELECT place FROM table_name_25 WHERE player = "tom watson"
|
SELECT "place" FROM "table_name_25" WHERE "player" = "tom watson"
| 0.063477 |
CREATE TABLE table_59019 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "Hometown/School" TEXT)
|
What is Player, when Pick is '26'?
|
SELECT "Player" FROM table_59019 WHERE "Pick" = '26'
|
SELECT "Player" FROM "table_59019" WHERE "Pick" = '26'
| 0.052734 |
CREATE TABLE table_train_278 ("id" INT, "gender" TEXT, "supine" BOOLEAN, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "estimated_glomerular_filtration_rate_egfr" INT, "diastolic_blood_pressure_dbp" INT, "serum_creatinine" FLOAT, "bilirubin" FLOAT, "NOUSE" FLOAT)
|
total bilirubin > 2 mg / dl
|
SELECT * FROM table_train_278 WHERE bilirubin >= 2
|
SELECT * FROM "table_train_278" WHERE "bilirubin" >= 2
| 0.052734 |
CREATE TABLE table_18052353_4 (state_assembly VARCHAR, year VARCHAR)
|
What was the composition of the state assembly in 2008?
|
SELECT state_assembly FROM table_18052353_4 WHERE year = "2008"
|
SELECT "state_assembly" FROM "table_18052353_4" WHERE "2008" = "year"
| 0.067383 |
CREATE TABLE table_name_87 (location VARCHAR, opponent_team VARCHAR, match VARCHAR, tournament VARCHAR)
|
Where is the location of the friendly match larger than 1 where the Super Reds were the opponent?
|
SELECT location FROM table_name_87 WHERE match > 1 AND tournament = "friendly" AND opponent_team = "super reds"
|
SELECT "location" FROM "table_name_87" WHERE "friendly" = "tournament" AND "match" > 1 AND "opponent_team" = "super reds"
| 0.118164 |
CREATE TABLE table_name_8 (high_rebounds VARCHAR, date VARCHAR)
|
What is High Rebounds, when Date is 'March 12'?
|
SELECT high_rebounds FROM table_name_8 WHERE date = "march 12"
|
SELECT "high_rebounds" FROM "table_name_8" WHERE "date" = "march 12"
| 0.066406 |
CREATE TABLE table_64501 ("Track" TEXT, "Song Title" TEXT, "Writer ( s ) " TEXT, "Original Artist" TEXT, "Original Release" FLOAT, "Length" TEXT)
|
What is the original Release date of the Track written by Dallas Frazier?
|
SELECT "Original Release" FROM table_64501 WHERE "Writer(s)" = 'dallas frazier'
|
SELECT "Original Release" FROM "table_64501" WHERE "Writer(s)" = 'dallas frazier'
| 0.079102 |
CREATE TABLE table_name_88 (points INT, grid VARCHAR)
|
What is the point low with 2 grids?
|
SELECT MIN(points) FROM table_name_88 WHERE grid = "2"
|
SELECT MIN("points") FROM "table_name_88" WHERE "2" = "grid"
| 0.058594 |
CREATE TABLE table_name_82 (background VARCHAR, hometown VARCHAR)
|
What is the Background of the Candidate from Barrington, Illinois?
|
SELECT background FROM table_name_82 WHERE hometown = "barrington, illinois"
|
SELECT "background" FROM "table_name_82" WHERE "barrington, illinois" = "hometown"
| 0.080078 |
CREATE TABLE table_name_20 (name VARCHAR, games VARCHAR, assists VARCHAR)
|
Who played over 37 games and had 202 assists?
|
SELECT name FROM table_name_20 WHERE games > 37 AND assists = 202
|
SELECT "name" FROM "table_name_20" WHERE "assists" = 202 AND "games" > 37
| 0.071289 |
CREATE TABLE table_12784134_1 (verbal_noun VARCHAR, basic_stem__root_ VARCHAR)
|
What's the number of verbal nouns with the basic stem (root) -bil-?
|
SELECT COUNT(verbal_noun) FROM table_12784134_1 WHERE basic_stem__root_ = "-bil-"
|
SELECT COUNT("verbal_noun") FROM "table_12784134_1" WHERE "-bil-" = "basic_stem__root_"
| 0.084961 |
CREATE TABLE table_29692 ("Team" TEXT, "Chairman" TEXT, "Head Coach" TEXT, "Captain" TEXT, "Kitmaker" TEXT, "Shirt sponsor" TEXT)
|
How many teams have a head coach named mahdi ali?
|
SELECT COUNT("Team") FROM table_29692 WHERE "Head Coach" = 'Mahdi Ali'
|
SELECT COUNT("Team") FROM "table_29692" WHERE "Head Coach" = 'Mahdi Ali'
| 0.070313 |
CREATE TABLE table_63194 ("Artist" TEXT, "Album" TEXT, "Track ( s ) " TEXT, "Date" TEXT, "Label" TEXT)
|
When has an Album of l'un n'emp che pas l'autre?
|
SELECT "Date" FROM table_63194 WHERE "Album" = 'l''un n''empêche pas l''autre'
|
SELECT "Date" FROM "table_63194" WHERE "Album" = 'l\'un n\'empêche pas l\'autre'
| 0.078125 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
what is patient 015-7988's first diagnosis until 4 years ago?
|
SELECT diagnosis.diagnosisname FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-7988')) AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY diagnosis.diagnosistime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-7988' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "diagnosis"."diagnosisname" FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" NULLS FIRST LIMIT 1
| 0.632813 |
CREATE TABLE table_204_246 (id DECIMAL, "department" TEXT, "total deputies" DECIMAL, "uninominal deputies" DECIMAL, "plurinominal deputies" DECIMAL, "special indigenous\ or campesino deputies" DECIMAL, "senators" DECIMAL)
|
which country has the most uninominal deputies
|
SELECT "department" FROM table_204_246 WHERE "uninominal deputies" = (SELECT MAX("uninominal deputies") FROM table_204_246)
|
SELECT "department" FROM "table_204_246" WHERE "uninominal deputies" = (SELECT MAX("uninominal deputies") FROM "table_204_246")
| 0.124023 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
show me patient 62298's los of the last hospital stay.
|
SELECT STRFTIME('%j', admissions.dischtime) - STRFTIME('%j', admissions.admittime) FROM admissions WHERE admissions.subject_id = 62298 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1
|
SELECT STRFTIME('%j', "admissions"."dischtime") - STRFTIME('%j', "admissions"."admittime") FROM "admissions" WHERE "admissions"."subject_id" = 62298 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1
| 0.241211 |
CREATE TABLE table_33366 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Partner" TEXT, "Opponents in the final" TEXT)
|
Which date has the tom gullikson butch walts final, and who was the runner-up?
|
SELECT "Date" FROM table_33366 WHERE "Outcome" = 'runner-up' AND "Opponents in the final" = 'tom gullikson butch walts'
|
SELECT "Date" FROM "table_33366" WHERE "Opponents in the final" = 'tom gullikson butch walts' AND "Outcome" = 'runner-up'
| 0.118164 |
CREATE TABLE table_28758 ("Round" FLOAT, "Overall pick" FLOAT, "NFL team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
Name the position for jordan cameron
|
SELECT "Position" FROM table_28758 WHERE "Player" = 'Jordan Cameron'
|
SELECT "Position" FROM "table_28758" WHERE "Player" = 'Jordan Cameron'
| 0.068359 |
CREATE TABLE table_25764073_3 (episode__number INT, writer_s_ VARCHAR)
|
Name the least episode number for anne brooksbank and vicki madden
|
SELECT MIN(episode__number) FROM table_25764073_3 WHERE writer_s_ = "Anne Brooksbank and Vicki Madden"
|
SELECT MIN("episode__number") FROM "table_25764073_3" WHERE "Anne Brooksbank and Vicki Madden" = "writer_s_"
| 0.105469 |
CREATE TABLE table_24600706_1 (released INT, song VARCHAR)
|
Name the most released for right here, right now
|
SELECT MAX(released) FROM table_24600706_1 WHERE song = "Right Here, Right Now"
|
SELECT MAX("released") FROM "table_24600706_1" WHERE "Right Here, Right Now" = "song"
| 0.083008 |
CREATE TABLE table_name_69 (away_team VARCHAR, venue VARCHAR)
|
Who played in lake oval while away?
|
SELECT away_team FROM table_name_69 WHERE venue = "lake oval"
|
SELECT "away_team" FROM "table_name_69" WHERE "lake oval" = "venue"
| 0.06543 |
CREATE TABLE table_name_25 (home_team VARCHAR, venue VARCHAR)
|
Who was the home team at princes park?
|
SELECT home_team FROM table_name_25 WHERE venue = "princes park"
|
SELECT "home_team" FROM "table_name_25" WHERE "princes park" = "venue"
| 0.068359 |
CREATE TABLE table_name_14 (reason_for_termination VARCHAR, appointed_by VARCHAR)
|
Which Reason for termination has Appointed by of eisenhower category:articles with hcards?
|
SELECT reason_for_termination FROM table_name_14 WHERE appointed_by = "eisenhower category:articles with hcards"
|
SELECT "reason_for_termination" FROM "table_name_14" WHERE "appointed_by" = "eisenhower category:articles with hcards"
| 0.115234 |
CREATE TABLE table_64382 ("Rank" FLOAT, "Lane" FLOAT, "Athlete" TEXT, "Nationality" TEXT, "Time" FLOAT, "React" FLOAT)
|
What is the lowest lane in the Czech Republic and a time larger than 21.05?
|
SELECT MIN("Lane") FROM table_64382 WHERE "Nationality" = 'czech republic' AND "Time" > '21.05'
|
SELECT MIN("Lane") FROM "table_64382" WHERE "Nationality" = 'czech republic' AND "Time" > '21.05'
| 0.094727 |
CREATE TABLE table_name_2 (gold INT, total INT)
|
What is the total gold with a total less than 1?
|
SELECT SUM(gold) FROM table_name_2 WHERE total < 1
|
SELECT SUM("gold") FROM "table_name_2" WHERE "total" < 1
| 0.054688 |
CREATE TABLE savings (custid DECIMAL, balance DECIMAL)
CREATE TABLE checking (custid DECIMAL, balance DECIMAL)
CREATE TABLE accounts (custid DECIMAL, name TEXT)
|
Find the total saving balance for each account name.
|
SELECT SUM(T2.balance), T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid GROUP BY T1.name
|
SELECT SUM("T2"."balance"), "T1"."name" FROM "accounts" AS "T1" JOIN "savings" AS "T2" ON "T1"."custid" = "T2"."custid" GROUP BY "T1"."name"
| 0.136719 |
CREATE TABLE table_20346 ("Name" TEXT, "Japanese" TEXT, "Date of designation" TEXT, "Date of reclassification" TEXT, "Region" TEXT, "Prefecture" TEXT)
|
Name the region for iwate
|
SELECT "Region" FROM table_20346 WHERE "Prefecture" = 'Iwate'
|
SELECT "Region" FROM "table_20346" WHERE "Prefecture" = 'Iwate'
| 0.061523 |
CREATE TABLE table_41227 ("Season" TEXT, "Competition" TEXT, "Round" TEXT, "Club" TEXT, "Home" TEXT, "Away" TEXT)
|
Which away has apoel as the club?
|
SELECT "Away" FROM table_41227 WHERE "Club" = 'apoel'
|
SELECT "Away" FROM "table_41227" WHERE "Club" = 'apoel'
| 0.053711 |
CREATE TABLE table_name_57 (density VARCHAR, population INT)
|
What's the total number of density for the place with a population over 393,390?
|
SELECT COUNT(density) FROM table_name_57 WHERE population > 393 OFFSET 390
|
SELECT COUNT("density") FROM "table_name_57" WHERE "population" > 393 OFFSET 390
| 0.078125 |
CREATE TABLE table_name_20 (outcome VARCHAR, partner VARCHAR)
|
What is the Outcome when the partner was kristof vliegen?
|
SELECT outcome FROM table_name_20 WHERE partner = "kristof vliegen"
|
SELECT "outcome" FROM "table_name_20" WHERE "kristof vliegen" = "partner"
| 0.071289 |
CREATE TABLE table_22893781_6 (score VARCHAR, location_attendance VARCHAR)
|
Name the score for madison square garden 18,828
|
SELECT score FROM table_22893781_6 WHERE location_attendance = "Madison Square Garden 18,828"
|
SELECT "score" FROM "table_22893781_6" WHERE "Madison Square Garden 18,828" = "location_attendance"
| 0.09668 |
CREATE TABLE table_38204 ("Place" FLOAT, "Nation" TEXT, "5 Hoops" FLOAT, "3 Balls , 2 Ribbons" FLOAT, "Total" FLOAT)
|
Nation of bulgaria, and a Place larger than 1 had what highest 3 Balls, 2 Ribbons?
|
SELECT MAX("3 Balls, 2 Ribbons") FROM table_38204 WHERE "Nation" = 'bulgaria' AND "Place" > '1'
|
SELECT MAX("3 Balls, 2 Ribbons") FROM "table_38204" WHERE "Nation" = 'bulgaria' AND "Place" > '1'
| 0.094727 |
CREATE TABLE nuclear_power_plants (id TEXT, name TEXT, latitude TEXT, longitude TEXT, country TEXT, status TEXT, reactortype TEXT, reactormodel TEXT, constructionstartat TEXT, operationalfrom TEXT, operationalto TEXT, capacity TEXT, lastupdatedat TEXT, source TEXT)
|
What are the planed nuclear power plants and their located countries?
|
SELECT name, country FROM nuclear_power_plants WHERE status = "Planned"
|
SELECT "name", "country" FROM "nuclear_power_plants" WHERE "Planned" = "status"
| 0.077148 |
CREATE TABLE table_name_52 (opponent VARCHAR, score VARCHAR)
|
Which opponent had a 113-124 score?
|
SELECT opponent FROM table_name_52 WHERE score = "113-124"
|
SELECT "opponent" FROM "table_name_52" WHERE "113-124" = "score"
| 0.0625 |
CREATE TABLE table_name_40 (attendance INT, home VARCHAR)
|
What is the average attendance of the game where the home team was the Blues?
|
SELECT AVG(attendance) FROM table_name_40 WHERE home = "blues"
|
SELECT AVG("attendance") FROM "table_name_40" WHERE "blues" = "home"
| 0.066406 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
|
Find All_Home and Team_ID , and group by attribute ACC_Home, and visualize them by a bar chart, and display in asc by the x-axis.
|
SELECT All_Home, Team_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY All_Home
|
SELECT "All_Home", "Team_ID" FROM "basketball_match" GROUP BY "ACC_Home", "All_Home" ORDER BY "All_Home" NULLS FIRST
| 0.113281 |
CREATE TABLE table_62315 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "Hometown/School" TEXT)
|
What's the highest pick for SS position?
|
SELECT MAX("Pick") FROM table_62315 WHERE "Position" = 'ss'
|
SELECT MAX("Pick") FROM "table_62315" WHERE "Position" = 'ss'
| 0.05957 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is age and date of birth of subject name john gartman?
|
SELECT demographic.age, demographic.dob FROM demographic WHERE demographic.name = "John Gartman"
|
SELECT "demographic"."age", "demographic"."dob" FROM "demographic" WHERE "John Gartman" = "demographic"."name"
| 0.107422 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Tag Wiki Excerpts that contain 'off-topic'.
|
SELECT Tags.TagName, Posts.Body FROM Tags INNER JOIN Posts ON Tags.ExcerptPostId = Posts.Id WHERE LOWER(Posts.Body) LIKE '%off-topic%' OR LOWER(Posts.Body) LIKE '%don%t use%'
|
SELECT "Tags"."TagName", "Posts"."Body" FROM "Tags" JOIN "Posts" ON "Posts"."Id" = "Tags"."ExcerptPostId" AND (LOWER("Posts"."Body") LIKE '%don%t use%' OR LOWER("Posts"."Body") LIKE '%off-topic%')
| 0.191406 |
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
|
Return the number of music festivals of each category, show by the Category in desc.
|
SELECT Category, COUNT(*) FROM music_festival GROUP BY Category ORDER BY Category DESC
|
SELECT "Category", COUNT(*) FROM "music_festival" GROUP BY "Category" ORDER BY "Category" DESC NULLS LAST
| 0.102539 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what number of patients were divorced and died in or before 2183?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.dod_year <= "2183.0"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2183.0" >= "demographic"."dod_year" AND "DIVORCED" = "demographic"."marital_status"
| 0.155273 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
had patient 18866 got a diagnosis since 1 year ago?
|
SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 18866) AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-1 year')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 18866 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL
| 0.333008 |
CREATE TABLE table_34896 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT)
|
Who was the incumbent who was first elected in 1876?
|
SELECT "Incumbent" FROM table_34896 WHERE "First elected" = '1876'
|
SELECT "Incumbent" FROM "table_34896" WHERE "First elected" = '1876'
| 0.066406 |
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
|
On the DANCE 100 -level what are the 3 credit courses ?
|
SELECT DISTINCT department, name, number FROM course WHERE credits = 3 AND department = 'DANCE' AND number < 100 + 100 AND number >= 100
|
SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 3 AND "department" = 'DANCE' AND "number" < 200 AND "number" >= 100
| 0.142578 |
CREATE TABLE table_42494 ("Ballarat FL" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
|
How many losses have byes greater than 2?
|
SELECT COUNT("Losses") FROM table_42494 WHERE "Byes" > '2'
|
SELECT COUNT("Losses") FROM "table_42494" WHERE "Byes" > '2'
| 0.058594 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
what was the name of the last intake that patient 032-21820 had today.
|
SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '032-21820')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '032-21820' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" DESC NULLS LAST LIMIT 1
| 0.728516 |
CREATE TABLE table_16734640_1 (nickname VARCHAR, institution VARCHAR)
|
Name the total number of nicknames for andrew college
|
SELECT COUNT(nickname) FROM table_16734640_1 WHERE institution = "Andrew College"
|
SELECT COUNT("nickname") FROM "table_16734640_1" WHERE "Andrew College" = "institution"
| 0.084961 |
CREATE TABLE table_23286112_7 (high_points VARCHAR, location_attendance VARCHAR)
|
Who has high points when verizon center 17,152 is location attendance?
|
SELECT high_points FROM table_23286112_7 WHERE location_attendance = "Verizon Center 17,152"
|
SELECT "high_points" FROM "table_23286112_7" WHERE "Verizon Center 17,152" = "location_attendance"
| 0.095703 |
CREATE TABLE table_name_96 (total INT, year_s__won VARCHAR, country VARCHAR, to_par VARCHAR)
|
What is the average Total for the United States with a To par more than 6 and 1996 was won?
|
SELECT AVG(total) FROM table_name_96 WHERE country = "united states" AND to_par > 6 AND year_s__won = "1996"
|
SELECT AVG("total") FROM "table_name_96" WHERE "1996" = "year_s__won" AND "country" = "united states" AND "to_par" > 6
| 0.115234 |
CREATE TABLE table_name_93 (date VARCHAR, away_team VARCHAR)
|
What is the date when the away team is essendon?
|
SELECT date FROM table_name_93 WHERE away_team = "essendon"
|
SELECT "date" FROM "table_name_93" WHERE "away_team" = "essendon"
| 0.063477 |
CREATE TABLE table_13609 ("Year" FLOAT, "Finish position" TEXT, "1st day" TEXT, "2nd day" TEXT, "3rd day" TEXT, "4th Day" TEXT)
|
Which Finish position has a 4th Day of bumped robinson?
|
SELECT "Finish position" FROM table_13609 WHERE "4th Day" = 'bumped robinson'
|
SELECT "Finish position" FROM "table_13609" WHERE "4th Day" = 'bumped robinson'
| 0.077148 |
CREATE TABLE table_73603 ("Code name" TEXT, "Brand name" TEXT, "Model ( list ) " TEXT, "Frequency" TEXT, "Cores/Threads" TEXT, "Max Memory Speed" TEXT)
|
What brand is model G6xxx?
|
SELECT "Brand name" FROM table_73603 WHERE "Model (list)" = 'G6xxx'
|
SELECT "Brand name" FROM "table_73603" WHERE "Model (list)" = 'G6xxx'
| 0.067383 |
CREATE TABLE school (School_ID INT, Grade TEXT, School TEXT, Location TEXT, Type TEXT)
CREATE TABLE driver (Driver_ID INT, Name TEXT, Party TEXT, Home_city TEXT, Age INT)
CREATE TABLE school_bus (School_ID INT, Driver_ID INT, Years_Working INT, If_full_time BOOLEAN)
|
Give me a bar chart to show the name and age for all drivers, could you rank in descending by the total number?
|
SELECT Name, Age FROM driver ORDER BY Age DESC
|
SELECT "Name", "Age" FROM "driver" ORDER BY "Age" DESC NULLS LAST
| 0.063477 |
CREATE TABLE table_name_61 (attendance INT, visitor VARCHAR)
|
What was the total Attendance for Games while Chicago was the visiting Team?
|
SELECT SUM(attendance) FROM table_name_61 WHERE visitor = "chicago"
|
SELECT SUM("attendance") FROM "table_name_61" WHERE "chicago" = "visitor"
| 0.071289 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
retrieve the top three most common diagnostics until 2102?
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE STRFTIME('%y', diagnosis.diagnosistime) <= '2102' GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3
|
WITH "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" WHERE STRFTIME('%y', "diagnosis"."diagnosistime") <= '2102' GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3
| 0.286133 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
|
what tests are the four most frequently ordered lab tests in this year?
|
SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 4)
|
WITH "t1" AS (SELECT "labevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "labevents" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "labevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "d_labitems"."itemid" WHERE NOT "_u_0"."" IS NULL
| 0.481445 |
CREATE TABLE table_53961 ("NGC number" FLOAT, "Object type" TEXT, "Constellation" TEXT, "Right ascension ( J2000 ) " TEXT, "Declination ( J2000 ) " TEXT)
|
What is the average NGC number of everything with a Right ascension (J2000) of 05h33m30s?
|
SELECT AVG("NGC number") FROM table_53961 WHERE "Right ascension ( J2000 )" = '05h33m30s'
|
SELECT AVG("NGC number") FROM "table_53961" WHERE "Right ascension ( J2000 )" = '05h33m30s'
| 0.088867 |
CREATE TABLE table_12434380_1 (school_colors VARCHAR, main_campus_location VARCHAR)
|
How many school colors is there for the main campus location of highland?
|
SELECT COUNT(school_colors) FROM table_12434380_1 WHERE main_campus_location = "Highland"
|
SELECT COUNT("school_colors") FROM "table_12434380_1" WHERE "Highland" = "main_campus_location"
| 0.092773 |
CREATE TABLE table_38312 ("Start month" TEXT, "End month" TEXT, "Cover" TEXT, "Spine" TEXT, "Indicia" TEXT, "Masthead" TEXT, "Number of issues" FLOAT)
|
Which masthead ends on oct 69?
|
SELECT "Masthead" FROM table_38312 WHERE "End month" = 'oct–69'
|
SELECT "Masthead" FROM "table_38312" WHERE "End month" = 'oct–69'
| 0.063477 |
CREATE TABLE table_203_269 (id DECIMAL, "season" TEXT, "competition" TEXT, "round" TEXT, "club" TEXT, "home" TEXT, "away" TEXT, "aggregate" TEXT)
|
what is the total wins for club kotayk abovian ?
|
SELECT "aggregate" FROM table_203_269 WHERE "club" = 'kotayk abovian'
|
SELECT "aggregate" FROM "table_203_269" WHERE "club" = 'kotayk abovian'
| 0.069336 |
CREATE TABLE table_45750 ("SCHOOL" TEXT, "LOCATION" TEXT, "PUBS. 2010" FLOAT, "TOTALS 06-10" FLOAT, "RANK 06-10" FLOAT, "PUBS 2011" FLOAT, "TOTALS 07-11" FLOAT, "RANK 07-11" FLOAT, "WORLD RANKING" TEXT)
|
What is the average PUBS 11 value in Mumbai, which has a 07-11 totals less than 1025?
|
SELECT AVG("PUBS 2011") FROM table_45750 WHERE "LOCATION" = 'mumbai' AND "TOTALS 07-11" < '1025'
|
SELECT AVG("PUBS 2011") FROM "table_45750" WHERE "LOCATION" = 'mumbai' AND "TOTALS 07-11" < '1025'
| 0.095703 |
CREATE TABLE table_name_18 (pl_gp INT, pick__number VARCHAR, rd__number VARCHAR)
|
What was the PI GP fpr pick# 235 for Rd# larger than 12?
|
SELECT MIN(pl_gp) FROM table_name_18 WHERE pick__number = 235 AND rd__number > 12
|
SELECT MIN("pl_gp") FROM "table_name_18" WHERE "pick__number" = 235 AND "rd__number" > 12
| 0.086914 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a line chart about the change of manager_id over hire_date .
|
SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40
|
SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000)
| 0.201172 |
CREATE TABLE table_52373 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What was the lowest Crowd of the game that had an Away team score of 13.17 (95)?
|
SELECT MIN("Crowd") FROM table_52373 WHERE "Away team score" = '13.17 (95)'
|
SELECT MIN("Crowd") FROM "table_52373" WHERE "Away team score" = '13.17 (95)'
| 0.075195 |
CREATE TABLE table_75439 ("Game" FLOAT, "December" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
|
Which Score has a Record of 18 11 5?
|
SELECT "Score" FROM table_75439 WHERE "Record" = '18–11–5'
|
SELECT "Score" FROM "table_75439" WHERE "Record" = '18–11–5'
| 0.058594 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the sum of revenue , and group by attribute name, and sort in asc by the x-axis.
|
SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name
|
SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST
| 0.173828 |
CREATE TABLE table_name_90 (april INT, opponent VARCHAR, game VARCHAR)
|
What is the lowest value in April with New York Rangers as opponent for a game less than 82?
|
SELECT MIN(april) FROM table_name_90 WHERE opponent = "new york rangers" AND game < 82
|
SELECT MIN("april") FROM "table_name_90" WHERE "game" < 82 AND "new york rangers" = "opponent"
| 0.091797 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many patients whose age is less than 59 and lab test category is blood gas?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "59" 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" WHERE "59" > "demographic"."age"
| 0.1875 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Give me a bar chart for mean team id of each all home
|
SELECT All_Home, AVG(Team_ID) FROM basketball_match GROUP BY All_Home
|
SELECT "All_Home", AVG("Team_ID") FROM "basketball_match" GROUP BY "All_Home"
| 0.075195 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
calculate the number of patients who have stayed in the micu careunit during the last year.
|
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'micu' AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year'))
|
WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."careunit" = 'micu' AND DATETIME("transfers"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL
| 0.376953 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
how many patients have been discharged from the hospital in just since 2100?
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND STRFTIME('%y', patient.hospitaldischargetime) >= '2100'
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE NOT "patient"."hospitaldischargetime" IS NULL AND STRFTIME('%y', "patient"."hospitaldischargetime") >= '2100'
| 0.170898 |
CREATE TABLE table_50930 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " TEXT)
|
Which player is from Australia, and has a place of t9?
|
SELECT "Player" FROM table_50930 WHERE "Place" = 't9' AND "Country" = 'australia'
|
SELECT "Player" FROM "table_50930" WHERE "Country" = 'australia' AND "Place" = 't9'
| 0.081055 |
CREATE TABLE table_56376 ("State" TEXT, "Swimsuit" FLOAT, "Evening gown" FLOAT, "Interview" FLOAT, "Average" FLOAT)
|
Which state had an average of less than 8.67, a swimsuit score of 8.27, an evening gown score of 8.78, and an interview number of 8.52?
|
SELECT "State" FROM table_56376 WHERE "Average" < '8.67' AND "Swimsuit" = '8.27' AND "Evening gown" = '8.78' AND "Interview" = '8.52'
|
SELECT "State" FROM "table_56376" WHERE "Average" < '8.67' AND "Evening gown" = '8.78' AND "Interview" = '8.52' AND "Swimsuit" = '8.27'
| 0.131836 |
CREATE TABLE table_25548213_1 (us_viewers__million_ VARCHAR, written_by VARCHAR)
|
How many million viewers watch the episode that kevin biegel & aseem batra wrote?
|
SELECT us_viewers__million_ FROM table_25548213_1 WHERE written_by = "Kevin Biegel & Aseem Batra"
|
SELECT "us_viewers__million_" FROM "table_25548213_1" WHERE "Kevin Biegel & Aseem Batra" = "written_by"
| 0.100586 |
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
|
Show the number of documents created in each day and bin document date by weekday with a bar chart.
|
SELECT Document_Date, COUNT(Document_Date) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code
|
SELECT "Document_Date", COUNT("Document_Date") FROM "Ref_Document_Types" AS "T1" JOIN "Documents" AS "T2" ON "T1"."Document_Type_Code" = "T2"."Document_Type_Code"
| 0.158203 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
what are the cost of diagnosis for esophagitis - regurgitant?
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'esophagitis - regurgitant')
|
WITH "_u_0" AS (SELECT "diagnosis"."diagnosisid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'esophagitis - regurgitant' GROUP BY "diagnosisid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'diagnosis' AND NOT "_u_0"."" IS NULL
| 0.311523 |
CREATE TABLE table_19801 ("#" FLOAT, "Episode" TEXT, "Writer" TEXT, "Director" TEXT, "Original air date" TEXT, "Viewing figure" TEXT)
|
What writers are associated with a viewing figure of 7.01 million?
|
SELECT "Writer" FROM table_19801 WHERE "Viewing figure" = '7.01 million'
|
SELECT "Writer" FROM "table_19801" WHERE "Viewing figure" = '7.01 million'
| 0.072266 |
CREATE TABLE table_32314 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Where did South Melbourne go to play a team at home?
|
SELECT "Home team" FROM table_32314 WHERE "Away team" = 'south melbourne'
|
SELECT "Home team" FROM "table_32314" WHERE "Away team" = 'south melbourne'
| 0.073242 |
CREATE TABLE table_62996 ("Pick" FLOAT, "Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
Which college did the player who went to the Boston Patriots go to?
|
SELECT "College" FROM table_62996 WHERE "Team" = 'boston patriots'
|
SELECT "College" FROM "table_62996" WHERE "Team" = 'boston patriots'
| 0.066406 |
CREATE TABLE table_name_15 (player VARCHAR, draft VARCHAR, pick VARCHAR)
|
Who is the player from the 1971 draft with a pick greater than 7?
|
SELECT player FROM table_name_15 WHERE draft = 1971 AND pick > 7
|
SELECT "player" FROM "table_name_15" WHERE "draft" = 1971 AND "pick" > 7
| 0.070313 |
CREATE TABLE table_name_65 (word_wrap_support VARCHAR, format VARCHAR)
|
Which Word wrap support has a Format of mobipocket?
|
SELECT word_wrap_support FROM table_name_65 WHERE format = "mobipocket"
|
SELECT "word_wrap_support" FROM "table_name_65" WHERE "format" = "mobipocket"
| 0.075195 |
CREATE TABLE table_204_287 (id DECIMAL, "outcome" TEXT, "no." DECIMAL, "date" DECIMAL, "championship" TEXT, "surface" TEXT, "opponent in the final" TEXT, "score in the final" TEXT)
|
when did he win his first title ?
|
SELECT MIN("date") FROM table_204_287 WHERE "outcome" = 'winner'
|
SELECT MIN("date") FROM "table_204_287" WHERE "outcome" = 'winner'
| 0.064453 |
CREATE TABLE torrents (groupname TEXT, totalsnatched DECIMAL, artist TEXT, groupyear DECIMAL, releasetype TEXT, groupid DECIMAL, id DECIMAL)
CREATE TABLE tags (index DECIMAL, id DECIMAL, tag TEXT)
|
Which year had the minimum number of releases?
|
SELECT groupyear FROM torrents GROUP BY groupyear ORDER BY COUNT(groupname) LIMIT 1
|
SELECT "groupyear" FROM "torrents" GROUP BY "groupyear" ORDER BY COUNT("groupname") NULLS FIRST LIMIT 1
| 0.100586 |
CREATE TABLE table_80005 ("Name" TEXT, "Years" TEXT, "Gender" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" FLOAT)
|
What is the name with a Decile less than 10, and a Roll of 297?
|
SELECT "Name" FROM table_80005 WHERE "Decile" < '10' AND "Roll" = '297'
|
SELECT "Name" FROM "table_80005" WHERE "Decile" < '10' AND "Roll" = '297'
| 0.071289 |
CREATE TABLE Course_Authors_and_Tutors (address_line_1 VARCHAR, author_id VARCHAR)
CREATE TABLE Courses (author_id VARCHAR, course_name VARCHAR)
|
Find the addresses of the course authors who teach the course with name 'operating system' or 'data structure'.
|
SELECT T1.address_line_1 FROM Course_Authors_and_Tutors AS T1 JOIN Courses AS T2 ON T1.author_id = T2.author_id WHERE T2.course_name = "operating system" OR T2.course_name = "data structure"
|
SELECT "T1"."address_line_1" FROM "Course_Authors_and_Tutors" AS "T1" JOIN "Courses" AS "T2" ON "T1"."author_id" = "T2"."author_id" AND ("T2"."course_name" = "data structure" OR "T2"."course_name" = "operating system")
| 0.212891 |
CREATE TABLE table_name_63 (points INT, date VARCHAR)
|
What were the Points on December 13?
|
SELECT MAX(points) FROM table_name_63 WHERE date = "december 13"
|
SELECT MAX("points") FROM "table_name_63" WHERE "date" = "december 13"
| 0.068359 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
|
Scatterplot of school_id vs team id by All_Neutral
|
SELECT Team_ID, School_ID FROM basketball_match GROUP BY All_Neutral
|
SELECT "Team_ID", "School_ID" FROM "basketball_match" GROUP BY "All_Neutral"
| 0.074219 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
|
how many patients received influenza vaccine during this year after mechanical ventilation within the same month?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'mechanical ventilation' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'influenza vaccine' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "treatment" AS "treatment_2" ON "treatment"."treatmenttime" < "treatment_2"."treatmenttime" AND "treatment_2"."treatmentname" = 'influenza vaccine' AND DATETIME("treatment"."treatmenttime", 'start of month') = DATETIME("treatment_2"."treatmenttime", 'start of month') AND DATETIME("treatment_2"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') JOIN "patient" AS "patient_2" ON "patient_2"."patientunitstayid" = "treatment_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'mechanical ventilation' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
| 0.789063 |
CREATE TABLE table_31596 ("Year" FLOAT, "Date" TEXT, "Event" TEXT, "Days" TEXT, "Stages" TEXT, "Acts" TEXT)
|
Tell me the stages for 1981
|
SELECT "Stages" FROM table_31596 WHERE "Year" = '1981'
|
SELECT "Stages" FROM "table_31596" WHERE "Year" = '1981'
| 0.054688 |
CREATE TABLE artist (Artist_ID INT, Name TEXT, Country TEXT, Year_Join INT, Age INT)
CREATE TABLE exhibition_record (Exhibition_ID INT, Date TEXT, Attendance INT)
CREATE TABLE exhibition (Exhibition_ID INT, Year INT, Theme TEXT, Artist_ID INT, Ticket_Price FLOAT)
|
What are the names and ages of artists? Show the result in a bar graph, list y axis in descending order.
|
SELECT Name, Age FROM artist ORDER BY Age DESC
|
SELECT "Name", "Age" FROM "artist" ORDER BY "Age" DESC NULLS LAST
| 0.063477 |
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
|
Draw a bar chart for showing the id and name of the stations that have ever had more than 12 bikes available, and sort bar in asc order.
|
SELECT name, id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 ORDER BY name
|
SELECT "name", "id" FROM "station" AS "T1" JOIN "status" AS "T2" ON "T1"."id" = "T2"."station_id" AND "T2"."bikes_available" > 12 ORDER BY "name" NULLS FIRST
| 0.15332 |
CREATE TABLE table_68337 ("Outcome" TEXT, "Date" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
What was the score of the match in which mardy fish was the partner?
|
SELECT "Score" FROM table_68337 WHERE "Partner" = 'mardy fish'
|
SELECT "Score" FROM "table_68337" WHERE "Partner" = 'mardy fish'
| 0.0625 |
CREATE TABLE table_3551 ("Year" FLOAT, "Timeslot" TEXT, "Network" TEXT, "Episodes" FLOAT, "Viewers ( in millions/overall ) " TEXT, "Viewers ( in millions/target group 14-49 ) " TEXT, "Market share ( overall ) " TEXT, "Market share ( target group 14-49 ) " TEXT)
|
If the overall viewers were 1.83 millions, what was the overall market share?
|
SELECT "Market share (overall)" FROM table_3551 WHERE "Viewers (in millions/overall)" = '1.83'
|
SELECT "Market share (overall)" FROM "table_3551" WHERE "Viewers (in millions/overall)" = '1.83'
| 0.09375 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
|
what were the four most frequent drugs that were prescribed in the same hospital encounter to the patients 40s after they had been diagnosed with hx tia/stroke w/o resid, in this year?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id 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 = 'hx tia/stroke w/o resid') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.age BETWEEN 40 AND 49 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) 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" = 'hx tia/stroke w/o resid' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4
| 1.058594 |
CREATE TABLE table_50828 ("Class" TEXT, "Part 1" TEXT, "Part 2" TEXT, "Part 3" TEXT, "Part 4" TEXT, "Verb meaning" TEXT)
|
What is the verb meaning for *bar as Part 2?
|
SELECT "Verb meaning" FROM table_50828 WHERE "Part 2" = '*bar'
|
SELECT "Verb meaning" FROM "table_50828" WHERE "Part 2" = '*bar'
| 0.0625 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
provide the number of patients whose gender is f and procedure icd9 code is 5783?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.icd9_code = "5783"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "5783" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "F" = "demographic"."gender"
| 0.206055 |
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Revival badge progress for user for specific tag.
|
SELECT a.Id AS "post_link", a.Score, a.CreationDate FROM Posts AS a WHERE a.PostTypeId = 2 AND EXISTS(SELECT * FROM Posts AS q WHERE q.Id = a.ParentId AND q.PostTypeId = 1 AND a.CreationDate > q.CreationDate + 30 AND Tags LIKE '%<' + LOWER(@tag) + '>%') ORDER BY a.Score DESC LIMIT 1000
|
WITH "_u_0" AS (SELECT "q"."Id" AS "_u_1", ARRAY_AGG("q"."CreationDate" + 30) AS "_u_2", ARRAY_AGG(CONCAT(CONCAT('%<', LOWER($tag)), '>%')) AS "_u_3" FROM "Posts" AS "q" WHERE "q"."PostTypeId" = 1 GROUP BY "q"."Id") SELECT "a"."Id" AS "post_link", "a"."Score", "a"."CreationDate" FROM "Posts" AS "a" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."_u_1" = "a"."ParentId" WHERE "a"."PostTypeId" = 2 AND NOT "_u_0"."_u_1" IS NULL AND ARRAY_ANY("_u_0"."_u_2", "_x" -> "a"."CreationDate" > "_x") AND ARRAY_ANY("_u_0"."_u_3", "_x" -> "Tags" LIKE "_x") ORDER BY "a"."Score" DESC NULLS LAST LIMIT 1000
| 0.570313 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
on last month/12, what was the last time patient 017-20711 had the maximum respiration?
|
SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-20711')) AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '12' ORDER BY vitalperiodic.respiration DESC, vitalperiodic.observationtime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-20711' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%d', "vitalperiodic"."observationtime") = '12' ORDER BY "vitalperiodic"."respiration" DESC NULLS LAST, "vitalperiodic"."observationtime" DESC NULLS LAST LIMIT 1
| 0.848633 |
CREATE TABLE table_18424435_4 (no INT)
|
What is the maximum number of episodes in the series listed?
|
SELECT MAX(no) FROM table_18424435_4
|
SELECT MAX("no") FROM "table_18424435_4"
| 0.039063 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
find the number of patients whose insurance is private and diagnoses icd9 code is 2769.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.icd9_code = "2769"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2769" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Private" = "demographic"."insurance"
| 0.211914 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.