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CREATE TABLE table_59499 ("Date" TEXT, "Opponents" TEXT, "H / A" TEXT, "Result F \\u2013 A" TEXT, "Attendance" FLOAT)
| What's the attendance when the opponents are cambridge united? | SELECT "Attendance" FROM table_59499 WHERE "Opponents" = 'cambridge united' | SELECT "Attendance" FROM "table_59499" WHERE "Opponents" = 'cambridge united' | 0.075195 |
CREATE TABLE table_name_87 (team VARCHAR, primary_sponsor_s_ VARCHAR)
| Which team has Peak Fitness as the primary sponsor? | SELECT team FROM table_name_87 WHERE primary_sponsor_s_ = "peak fitness" | SELECT "team" FROM "table_name_87" WHERE "peak fitness" = "primary_sponsor_s_" | 0.076172 |
CREATE TABLE table_name_6 (event VARCHAR, year VARCHAR, competition VARCHAR)
| What is the Event, when Year is 2002, and when Competition is European Indoor Championships? | SELECT event FROM table_name_6 WHERE year = 2002 AND competition = "european indoor championships" | SELECT "event" FROM "table_name_6" WHERE "competition" = "european indoor championships" AND "year" = 2002 | 0.103516 |
CREATE TABLE table_1682026_9 (country VARCHAR, market_value__billion_$_ VARCHAR)
| Name the country for 188.77 market value | SELECT country FROM table_1682026_9 WHERE market_value__billion_$_ = "188.77" | SELECT "country" FROM "table_1682026_9" WHERE "188.77" = "market_value__billion_$_" | 0.081055 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 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 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 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| what did patient 005-48105 first have as his intake during the previous day? | 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 = '005-48105')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-48105' 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', '-1 day') AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1 | 0.724609 |
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 products with a price between 60 and 120, a bar chart shows the distribution of name and code , and list in desc by the Y please. | SELECT Name, Code FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Code DESC | SELECT "Name", "Code" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 ORDER BY "Code" DESC NULLS LAST | 0.105469 |
CREATE TABLE table_name_76 (to_par VARCHAR, winning_score VARCHAR)
| What is the to par when the winning score was 67-68-70-66=271? | SELECT to_par FROM table_name_76 WHERE winning_score = 67 - 68 - 70 - 66 = 271 | SELECT "to_par" FROM "table_name_76" WHERE "winning_score" = FALSE | 0.064453 |
CREATE TABLE table_13027 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
| Which Outcome has a Score in the final of 1 6, 6 4, 7 5? | SELECT "Outcome" FROM table_13027 WHERE "Score in the final" = '1–6, 6–4, 7–5' | SELECT "Outcome" FROM "table_13027" WHERE "Score in the final" = '1–6, 6–4, 7–5' | 0.078125 |
CREATE TABLE table_25171 ("Position" TEXT, "Name" TEXT, "Jersey Number" FLOAT, "Age" FLOAT, "Height" TEXT, "Weight" FLOAT, "College" TEXT, "Result" TEXT)
| What is the result for Wisconsin? | SELECT "Result" FROM table_25171 WHERE "College" = 'Wisconsin' | SELECT "Result" FROM "table_25171" WHERE "College" = 'Wisconsin' | 0.0625 |
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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id 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 ta (campus_job_id INT, student_id INT, location 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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
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 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)
| In which subject area have I earned the most C+ 's ? | SELECT DISTINCT DERIVED_TABLEalias0.DERIVED_FIELDalias1 FROM (SELECT AREAalias0.area, COUNT(*) INNER JOIN student_record ON student_record.course_id = AREAalias0.course_id WHERE student_record.grade LIKE 'C+' AND student_record.student_id = 1 GROUP BY AREAalias0.area) AS DERIVED_TABLEalias0 WHERE DERIVED_TABLEalias0.DERIVED_FIELDalias1 = (SELECT COUNT(*) AS DERIVED_FIELDalias2 FROM area AS AREAalias1, student_record AS STUDENT_RECORDalias1 WHERE STUDENT_RECORDalias1.course_id = AREAalias1.course_id AND STUDENT_RECORDalias1.grade LIKE 'C+' AND STUDENT_RECORDalias1.student_id = 1 GROUP BY AREAalias1.area ORDER BY DERIVED_FIELDalias2 DESC LIMIT 1) | WITH "DERIVED_TABLEalias0" AS (SELECT MAX(1) AS "_" JOIN "student_record" ON "AREAalias0"."course_id" = "student_record"."course_id" AND "student_record"."grade" LIKE 'C+' AND "student_record"."student_id" = 1 GROUP BY "AREAalias0"."area"), "_u_1" AS (SELECT COUNT(*) AS "DERIVED_FIELDalias2" FROM "area" AS "AREAalias1" JOIN "student_record" AS "STUDENT_RECORDalias1" ON "AREAalias1"."course_id" = "STUDENT_RECORDalias1"."course_id" AND "STUDENT_RECORDalias1"."grade" LIKE 'C+' AND "STUDENT_RECORDalias1"."student_id" = 1 GROUP BY "AREAalias1"."area" ORDER BY "DERIVED_FIELDalias2" DESC NULLS LAST LIMIT 1) SELECT DISTINCT "DERIVED_TABLEalias0"."DERIVED_FIELDalias1" FROM "DERIVED_TABLEalias0" AS "DERIVED_TABLEalias0" JOIN "_u_1" AS "_u_1" ON "DERIVED_TABLEalias0"."DERIVED_FIELDalias1" = "_u_1"."DERIVED_FIELDalias2" | 0.799805 |
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)
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose admission year is less than 2139 and item id is 50911? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2139" AND lab.itemid = "50911" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50911" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2139" > "demographic"."admityear" | 0.189453 |
CREATE TABLE table_44337 ("Team" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try diff" TEXT, "Points for" TEXT, "Points against" TEXT, "Points diff" TEXT)
| What is the Tries against for the team that has 207 points for? | SELECT "Tries against" FROM table_44337 WHERE "Points for" = '207' | SELECT "Tries against" FROM "table_44337" WHERE "Points for" = '207' | 0.066406 |
CREATE TABLE table_12679326_1 (district VARCHAR, party VARCHAR, committee VARCHAR)
| What district is represented by a Republican Appropriations Committee? | SELECT district FROM table_12679326_1 WHERE party = "Republican" AND committee = "Appropriations" | SELECT "district" FROM "table_12679326_1" WHERE "Appropriations" = "committee" AND "Republican" = "party" | 0.102539 |
CREATE TABLE table_39231 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Time ( ET ) " TEXT, "Result" TEXT, "Record" TEXT)
| What was the record after the game against the Houston Oilers? | SELECT "Record" FROM table_39231 WHERE "Opponent" = 'houston oilers' | SELECT "Record" FROM "table_39231" WHERE "Opponent" = 'houston oilers' | 0.068359 |
CREATE TABLE table_1342149_24 (candidates VARCHAR, result VARCHAR)
| Name the candidates for result of lost renomination democratic loss | SELECT candidates FROM table_1342149_24 WHERE result = "Lost renomination Democratic loss" | SELECT "candidates" FROM "table_1342149_24" WHERE "Lost renomination Democratic loss" = "result" | 0.09375 |
CREATE TABLE table_name_60 (score VARCHAR, partner VARCHAR)
| What is the score for the match where albert monta s was the partner? | SELECT score FROM table_name_60 WHERE partner = "albert montañés" | SELECT "score" FROM "table_name_60" WHERE "albert montañés" = "partner" | 0.069336 |
CREATE TABLE table_20638 ("State" TEXT, "Preliminary Average" TEXT, "Interview" TEXT, "Swimsuit" TEXT, "Evening Gown" TEXT, "Semifinal Average" TEXT)
| What is the swimsuit when evening gown is 8.774 (6) ? | SELECT "Swimsuit" FROM table_20638 WHERE "Evening Gown" = '8.774 (6)' | SELECT "Swimsuit" FROM "table_20638" WHERE "Evening Gown" = '8.774 (6)' | 0.069336 |
CREATE TABLE table_64967 ("Year" FLOAT, "Game" TEXT, "Genre" TEXT, "Platform ( s ) " TEXT, "Developer ( s ) " TEXT)
| What is the earliest year when action was the genre? | SELECT MIN("Year") FROM table_64967 WHERE "Genre" = 'action' | SELECT MIN("Year") FROM "table_64967" WHERE "Genre" = 'action' | 0.060547 |
CREATE TABLE table_79230 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Score" TEXT, "Record" TEXT)
| Who was the opponent in week 13? | SELECT "Opponent" FROM table_79230 WHERE "Week" = '13' | SELECT "Opponent" FROM "table_79230" WHERE "Week" = '13' | 0.054688 |
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 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 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)
| give me the number of patients whose ethnicity is white and admission year is less than 2151? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear < "2151" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2151" > "demographic"."admityear" AND "WHITE" = "demographic"."ethnicity" | 0.145508 |
CREATE TABLE club (Club_ID INT, name TEXT, Region TEXT, Start_year TEXT)
CREATE TABLE player (Player_ID INT, name TEXT, Position TEXT, Club_ID INT, Apps FLOAT, Tries FLOAT, Goals TEXT, Points FLOAT)
CREATE TABLE competition (Competition_ID INT, Year FLOAT, Competition_type TEXT, Country TEXT)
CREATE TABLE competition_result (Competition_ID INT, Club_ID_1 INT, Club_ID_2 INT, Score TEXT)
CREATE TABLE club_rank (Rank FLOAT, Club_ID INT, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
| What is the proportion of types of every competition? | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type | SELECT "Competition_type", COUNT("Competition_type") FROM "competition" GROUP BY "Competition_type" | 0.09668 |
CREATE TABLE table_75146 ("INEGI code" FLOAT, "Municipality" TEXT, "Municipal Seat" TEXT, "Area ( km 2 ) " FLOAT, "Population ( 2005 ) " FLOAT, "Population density ( /km 2 ) " FLOAT, "Human Development Index ( 2000 ) " FLOAT)
| WHat is the amount of Human Development Index (2000) that has a Population (2005) of 54,929, and an Area (km 2 ) larger than 343.6? | SELECT COUNT("Human Development Index (2000)") FROM table_75146 WHERE "Population (2005)" = '54,929' AND "Area (km 2 )" > '343.6' | SELECT COUNT("Human Development Index (2000)") FROM "table_75146" WHERE "Area (km 2 )" > '343.6' AND "Population (2005)" = '54,929' | 0.12793 |
CREATE TABLE table_21584646_10 (week_of VARCHAR, semifinalists VARCHAR, champion VARCHAR)
| What week was stefan edberg anders j rryd was semifinalist and champion is john mcenroe 7 6, 6 3? | SELECT week_of FROM table_21584646_10 WHERE semifinalists = "Stefan Edberg Anders Järryd" AND champion = "John McEnroe 7–6, 6–3" | SELECT "week_of" FROM "table_21584646_10" WHERE "John McEnroe 7–6, 6–3" = "champion" AND "Stefan Edberg Anders Järryd" = "semifinalists" | 0.132813 |
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (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)
| Post Metrics Over Year and Month. | SELECT TIME_TO_STR(P.CreationDate, '%YEAR') AS PostYear, TIME_TO_STR(P.CreationDate, '%-mONT%-H') AS PostMonth, COUNT(*) AS Posts, SUM(AnswerCount) AS AnswerSum, SUM(CommentCount) AS CommentSum, MIN(FavoriteCount) AS FavoriteMin, AVG(FavoriteCount) AS FavoriteAvg, MAX(FavoriteCount) AS FavoriteMax, SUM(FavoriteCount) AS FavoriteSum, MIN(Score) AS ScoreMin, AVG(Score) AS ScoreAvg, MAX(Score) AS ScoreMax, SUM(Score) AS ScoreSum, MIN(ViewCount) AS ViewMin, AVG(ViewCount) AS ViewAvg, MAX(ViewCount) AS ViewMax, SUM(ViewCount) AS ViewSum FROM Posts AS P WHERE P.CreationDate BETWEEN '2008-08-01' AND '2015-08-01' GROUP BY TIME_TO_STR(P.CreationDate, '%YEAR'), TIME_TO_STR(P.CreationDate, '%-mONT%-H') ORDER BY TIME_TO_STR(P.CreationDate, '%YEAR'), TIME_TO_STR(P.CreationDate, '%-mONT%-H') | SELECT TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), 'yyyyEAR') AS "PostYear", TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), '%-mONT%-H') AS "PostMonth", COUNT(*) AS "Posts", SUM("AnswerCount") AS "AnswerSum", SUM("CommentCount") AS "CommentSum", MIN("FavoriteCount") AS "FavoriteMin", AVG("FavoriteCount") AS "FavoriteAvg", MAX("FavoriteCount") AS "FavoriteMax", SUM("FavoriteCount") AS "FavoriteSum", MIN("Score") AS "ScoreMin", AVG("Score") AS "ScoreAvg", MAX("Score") AS "ScoreMax", SUM("Score") AS "ScoreSum", MIN("ViewCount") AS "ViewMin", AVG("ViewCount") AS "ViewAvg", MAX("ViewCount") AS "ViewMax", SUM("ViewCount") AS "ViewSum" FROM "Posts" AS "P" WHERE "P"."CreationDate" <= '2015-08-01' AND "P"."CreationDate" >= '2008-08-01' GROUP BY TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), 'yyyyEAR'), TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), '%-mONT%-H') ORDER BY TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), 'yyyyEAR') NULLS FIRST, TO_CHAR(CAST("P"."CreationDate" AS TIMESTAMPNTZ), '%-mONT%-H') NULLS FIRST | 1.012695 |
CREATE TABLE table_26692 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| What is the team that the replaced by is miroslav uki ? | SELECT "Team" FROM table_26692 WHERE "Replaced by" = 'Miroslav Đukić' | SELECT "Team" FROM "table_26692" WHERE "Replaced by" = 'Miroslav Đukić' | 0.069336 |
CREATE TABLE table_name_49 (television_service VARCHAR, content VARCHAR)
| Which Television service has a Content of general television? | SELECT television_service FROM table_name_49 WHERE content = "general television" | SELECT "television_service" FROM "table_name_49" WHERE "content" = "general television" | 0.084961 |
CREATE TABLE table_68136 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| What is the final score at Melbourne Cricket Ground? | SELECT "Result" FROM table_68136 WHERE "Venue" = 'melbourne cricket ground' | SELECT "Result" FROM "table_68136" WHERE "Venue" = 'melbourne cricket ground' | 0.075195 |
CREATE TABLE table_name_74 (state VARCHAR, electorate VARCHAR)
| Which State has an Electorate of West Sydney? | SELECT state FROM table_name_74 WHERE electorate = "west sydney" | SELECT "state" FROM "table_name_74" WHERE "electorate" = "west sydney" | 0.068359 |
CREATE TABLE table_2886617_6 (player VARCHAR, nhl_team VARCHAR)
| Who was the player that was picked by Los Angeles Kings? | SELECT player FROM table_2886617_6 WHERE nhl_team = "Los Angeles Kings" | SELECT "player" FROM "table_2886617_6" WHERE "Los Angeles Kings" = "nhl_team" | 0.075195 |
CREATE TABLE city (City_ID INT, County_ID INT, Name TEXT, White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT)
CREATE TABLE county_public_safety (County_ID INT, Name TEXT, Population INT, Police_officers INT, Residents_per_officer INT, Case_burden INT, Crime_rate FLOAT, Police_force TEXT, Location TEXT)
| Return a bar chart on how many counties correspond to each police force?, could you show in asc by the x-axis? | SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY Police_force | SELECT "Police_force", COUNT(*) FROM "county_public_safety" GROUP BY "Police_force" ORDER BY "Police_force" NULLS FIRST | 0.116211 |
CREATE TABLE table_32235 ("Stadium" TEXT, "Capacity" FLOAT, "City" TEXT, "Country" TEXT, "Tenant" TEXT, "Opening" FLOAT)
| Timsah arena is in what country? | SELECT "Country" FROM table_32235 WHERE "Stadium" = 'timsah arena' | SELECT "Country" FROM "table_32235" WHERE "Stadium" = 'timsah arena' | 0.066406 |
CREATE TABLE table_name_60 (version VARCHAR, length VARCHAR)
| what album is 5:15 long | SELECT version FROM table_name_60 WHERE length = "5:15" | SELECT "version" FROM "table_name_60" WHERE "5:15" = "length" | 0.05957 |
CREATE TABLE table_1544 ("Rank" FLOAT, "Company" TEXT, "Headquarters" TEXT, "Industry" TEXT, "Sales ( billion $ ) " TEXT, "Profits ( billion $ ) " TEXT, "Assets ( billion $ ) " TEXT, "Market Value ( billion $ ) " TEXT)
| When the assets are 2,550, what is the Market Value? | SELECT "Market Value (billion $)" FROM table_1544 WHERE "Assets (billion $)" = '2,550' | SELECT "Market Value (billion $)" FROM "table_1544" WHERE "Assets (billion $)" = '2,550' | 0.085938 |
CREATE TABLE table_34922 ("Team" TEXT, "Driver" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| What is the average Laps for the Mexico team with a grid number of more than 1? | SELECT AVG("Laps") FROM table_34922 WHERE "Grid" > '1' AND "Team" = 'mexico' | SELECT AVG("Laps") FROM "table_34922" WHERE "Grid" > '1' AND "Team" = 'mexico' | 0.076172 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many dead patients were admitted in hospital for more than 14 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.days_stay > "14" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "14" < "demographic"."days_stay" | 0.141602 |
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 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose ethnicity is asian and lab test name is gentamicin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "ASIAN" AND lab.label = "Gentamicin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Gentamicin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity" | 0.194336 |
CREATE TABLE table_61008 ("2006" FLOAT, "2007" FLOAT, "2008" FLOAT, "2009" FLOAT, "2010" FLOAT)
| How many 2010s have a 2007 greater than 4.6, and 8.2 as a 2006? | SELECT COUNT("2010") FROM table_61008 WHERE "2007" > '4.6' AND "2006" = '8.2' | SELECT COUNT("2010") FROM "table_61008" WHERE "2006" = '8.2' AND "2007" > '4.6' | 0.077148 |
CREATE TABLE table_214 ("Race Name" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning driver" TEXT, "Constructor" TEXT, "Report" TEXT)
| Which driver won the i race of champions? | SELECT "Winning driver" FROM table_214 WHERE "Race Name" = 'I Race of Champions' | SELECT "Winning driver" FROM "table_214" WHERE "Race Name" = 'I Race of Champions' | 0.080078 |
CREATE TABLE table_name_65 (poles INT, season VARCHAR, wins VARCHAR, position VARCHAR)
| What is the average Poles, when Wins is 0, when Position is 'nc', and when Season is before 2004? | SELECT AVG(poles) FROM table_name_65 WHERE wins = 0 AND position = "nc" AND season < 2004 | SELECT AVG("poles") FROM "table_name_65" WHERE "nc" = "position" AND "season" < 2004 AND "wins" = 0 | 0.09668 |
CREATE TABLE table_name_95 (silver INT, nation VARCHAR, total VARCHAR, bronze VARCHAR, gold VARCHAR)
| What is the highest number of silver medals that Ireland earned when they scored less than 3 bronze medals and earned 1 medal? | SELECT MAX(silver) FROM table_name_95 WHERE bronze < 3 AND gold < 1 AND total = 1 AND nation = "ireland" | SELECT MAX("silver") FROM "table_name_95" WHERE "bronze" < 3 AND "gold" < 1 AND "ireland" = "nation" AND "total" = 1 | 0.113281 |
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)
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients discharged to long term care hospital have coronary arterydiasease as the primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LONG TERM CARE HOSPITAL" AND demographic.diagnosis = "CORONARY ARTERY DISEASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CORONARY ARTERY DISEASE" = "demographic"."diagnosis" AND "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location" | 0.19043 |
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
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 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 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 program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id 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 (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
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)
| What Core courses do I need to take for an EECS major ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%EECS%' AND program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' WHERE "course"."department" LIKE '%EECS%' | 0.246094 |
CREATE TABLE table_34548 ("Date" TEXT, "Tournament" TEXT, "Tier" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score" TEXT)
| When David McNamara was the opponent in the final, what was the tier? | SELECT "Tier" FROM table_34548 WHERE "Opponent in the final" = 'david mcnamara' | SELECT "Tier" FROM "table_34548" WHERE "Opponent in the final" = 'david mcnamara' | 0.079102 |
CREATE TABLE table_67236 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| Name the score with opponent of milos raonic | SELECT "Score" FROM table_67236 WHERE "Opponent" = 'milos raonic' | SELECT "Score" FROM "table_67236" WHERE "Opponent" = 'milos raonic' | 0.06543 |
CREATE TABLE table_35087 ("Pos." FLOAT, "Mark" TEXT, "Athlete" TEXT, "Nationality" TEXT, "Venue" TEXT, "Date" TEXT)
| Which venue had a nationality of Belgium? | SELECT "Venue" FROM table_35087 WHERE "Nationality" = 'belgium' | SELECT "Venue" FROM "table_35087" WHERE "Nationality" = 'belgium' | 0.063477 |
CREATE TABLE table_45401 ("Province" TEXT, "Provincial capital" TEXT, "Largest city" TEXT, "Area ( km 2 ) " FLOAT, "Population ( 2013 ) " FLOAT)
| What is Nelspruit's population? | SELECT COUNT("Population (2013)") FROM table_45401 WHERE "Largest city" = 'nelspruit' | SELECT COUNT("Population (2013)") FROM "table_45401" WHERE "Largest city" = 'nelspruit' | 0.084961 |
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 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (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 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 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)
| the list of the patient ids of patients diagnosed with assault nos since 2101. | SELECT admissions.subject_id FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'assault nos') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2101') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'assault nos' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2101' GROUP BY "hadm_id") SELECT "admissions"."subject_id" FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.420898 |
CREATE TABLE table_name_18 (laps VARCHAR, rider VARCHAR, grid VARCHAR)
| Total laps for Shinya Nakano at smaller than 10 grids. | SELECT COUNT(laps) FROM table_name_18 WHERE rider = "shinya nakano" AND grid < 10 | SELECT COUNT("laps") FROM "table_name_18" WHERE "grid" < 10 AND "rider" = "shinya nakano" | 0.086914 |
CREATE TABLE table_22384 ("Contestant Name" TEXT, "Episode #" FLOAT, "Date Premiered ( 2009 ) " TEXT, "Winning Amount" TEXT, "Eliminated Contestant" TEXT)
| What contestant was premiered on July 25? | SELECT "Contestant Name" FROM table_22384 WHERE "Date Premiered (2009)" = 'July 25' | SELECT "Contestant Name" FROM "table_22384" WHERE "Date Premiered (2009)" = 'July 25' | 0.083008 |
CREATE TABLE table_1342233_24 (result VARCHAR, incumbent VARCHAR)
| What is the result for w. arthur winstead? | SELECT result FROM table_1342233_24 WHERE incumbent = "W. Arthur Winstead" | SELECT "result" FROM "table_1342233_24" WHERE "W. Arthur Winstead" = "incumbent" | 0.078125 |
CREATE TABLE table_6433 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Save" TEXT)
| what team played on august 25 | SELECT "Opponent" FROM table_6433 WHERE "Date" = 'august 25' | SELECT "Opponent" FROM "table_6433" WHERE "Date" = 'august 25' | 0.060547 |
CREATE TABLE table_203_789 (id DECIMAL, "season" TEXT, "team" TEXT, "country" TEXT, "division" DECIMAL, "apps" DECIMAL, "goals" DECIMAL, "assists" DECIMAL)
| in what two seasons were there no goals scored ? | SELECT "season" FROM table_203_789 WHERE "goals" = 0 | SELECT "season" FROM "table_203_789" WHERE "goals" = 0 | 0.052734 |
CREATE TABLE table_37624 ("Type" TEXT, "Owns" TEXT, "Length" TEXT, "Delivery Date" TEXT, "Gross Tonnage" FLOAT)
| with delivery date of 2001 2001 what is gross tonnage? | SELECT AVG("Gross Tonnage") FROM table_37624 WHERE "Delivery Date" = '2001 2001' | SELECT AVG("Gross Tonnage") FROM "table_37624" WHERE "Delivery Date" = '2001 2001' | 0.080078 |
CREATE TABLE table_22994 ("Pos" FLOAT, "Member Association" TEXT, "Points ( total 500 ) " FLOAT, "Clubs" FLOAT, "Group stage" FLOAT, "Play-off" FLOAT, "AFC Cup" FLOAT)
| which club in group stage 4 had member association iran | SELECT "Clubs" FROM table_22994 WHERE "Group stage" = '4' AND "Member Association" = 'Iran' | SELECT "Clubs" FROM "table_22994" WHERE "Group stage" = '4' AND "Member Association" = 'Iran' | 0.09082 |
CREATE TABLE city (city_id DECIMAL, city TEXT, hanzi TEXT, hanyu_pinyin TEXT, regional_population DECIMAL, gdp DECIMAL)
CREATE TABLE temperature (city_id DECIMAL, jan DECIMAL, feb DECIMAL, mar DECIMAL, apr DECIMAL, jun DECIMAL, jul DECIMAL, aug DECIMAL, sep DECIMAL, oct DECIMAL, nov DECIMAL, dec DECIMAL)
CREATE TABLE match (match_id DECIMAL, date TEXT, venue TEXT, score TEXT, result TEXT, competition TEXT)
CREATE TABLE hosting_city (year DECIMAL, match_id DECIMAL, host_city TEXT)
| Find the match ids of the cities that hosted competition '1994 FIFA World Cup qualification'? | SELECT match_id FROM match WHERE competition = "1994 FIFA World Cup qualification" | SELECT "match_id" FROM "match" WHERE "1994 FIFA World Cup qualification" = "competition" | 0.085938 |
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
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 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 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
| SO - Total Posts by Could Service Providers Per Month - Amazon. | SELECT CONCAT(YEAR(P.CreationDate), '-', MONTH(P.CreationDate)) AS YearMonth, 'Amazon' AS TagName, COUNT(*) AS PostCount FROM Posts AS P INNER JOIN PostTags AS PT ON (P.Id = PT.PostId) INNER JOIN Tags AS T ON (PT.TagId = T.Id) WHERE T.TagName LIKE 'amazon%' GROUP BY YEAR(P.CreationDate), MONTH(P.CreationDate) ORDER BY YEAR(P.CreationDate) DESC, MONTH(P.CreationDate) DESC | SELECT CONCAT(YEAR("P"."CreationDate"), '-', MONTH("P"."CreationDate")) AS "YearMonth", 'Amazon' AS "TagName", COUNT(*) AS "PostCount" FROM "Posts" AS "P" JOIN "PostTags" AS "PT" ON "P"."Id" = "PT"."PostId" JOIN "Tags" AS "T" ON "PT"."TagId" = "T"."Id" AND "T"."TagName" LIKE 'amazon%' GROUP BY YEAR("P"."CreationDate"), MONTH("P"."CreationDate") ORDER BY YEAR("P"."CreationDate") DESC NULLS LAST, MONTH("P"."CreationDate") DESC NULLS LAST | 0.428711 |
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)
| which patients have buccal route of drug administration? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.route = "BUCCAL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BUCCAL" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.178711 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location 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 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 requirement (requirement_id INT, requirement VARCHAR, college 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 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
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 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
| Will Kaia Olson teach 817 again ? | SELECT DISTINCT semester.semester, semester.year FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.number = 817 AND course_offering.semester = semester.semester_id AND instructor.name LIKE '%Kaia Olson%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester_id > (SELECT SEMESTERalias1.semester_id FROM semester AS SEMESTERalias1 WHERE SEMESTERalias1.semester = 'WN' AND SEMESTERalias1.year = 2016) ORDER BY semester.semester_id LIMIT 1 | SELECT DISTINCT "semester"."semester", "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" JOIN "semester" AS "SEMESTERalias1" ON "SEMESTERalias1"."semester" = 'WN' AND "SEMESTERalias1"."semester_id" < "semester"."semester_id" AND "SEMESTERalias1"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Kaia Olson%' WHERE "course"."number" = 817 ORDER BY "semester"."semester_id" NULLS FIRST LIMIT 1 | 0.696289 |
CREATE TABLE table_204_579 (id DECIMAL, "code" TEXT, "district" TEXT, "headquarters" TEXT, "population ( as of 2011 ) " DECIMAL, "area ( km2 ) " DECIMAL, "density ( /km2 ) " DECIMAL)
| how many total districts are there in this area ? | SELECT COUNT("district") FROM table_204_579 | SELECT COUNT("district") FROM "table_204_579" | 0.043945 |
CREATE TABLE climber (Climber_ID INT, Name TEXT, Country TEXT, Time TEXT, Points FLOAT, Mountain_ID INT)
CREATE TABLE mountain (Mountain_ID INT, Name TEXT, Height FLOAT, Prominence FLOAT, Range TEXT, Country TEXT)
| Return the countries of the mountains that have a height larger than 5000, and count them by a bar chart, display X in descending order. | SELECT Country, COUNT(Country) FROM mountain WHERE Height > 5000 GROUP BY Country ORDER BY Country DESC | SELECT "Country", COUNT("Country") FROM "mountain" WHERE "Height" > 5000 GROUP BY "Country" ORDER BY "Country" DESC NULLS LAST | 0.123047 |
CREATE TABLE table_2623498_5 (prod_code VARCHAR, episode__number VARCHAR)
| What is the production code for episode #78? | SELECT prod_code FROM table_2623498_5 WHERE episode__number = "78" | SELECT "prod_code" FROM "table_2623498_5" WHERE "78" = "episode__number" | 0.070313 |
CREATE TABLE table_name_2 (original_airdate VARCHAR, episode VARCHAR)
| Which Original Airdate has an Episode of 1? | SELECT original_airdate FROM table_name_2 WHERE episode = 1 | SELECT "original_airdate" FROM "table_name_2" WHERE "episode" = 1 | 0.063477 |
CREATE TABLE table_62175 ("Date" TEXT, "Round" FLOAT, "Pair" TEXT, "Ages" TEXT, "Dance" TEXT, "Song" TEXT)
| How old were Mitchell & Jessica when they danced the Cha-Cha-Cha? | SELECT "Ages" FROM table_62175 WHERE "Dance" = 'cha-cha-cha' AND "Pair" = 'mitchell & jessica' | SELECT "Ages" FROM "table_62175" WHERE "Dance" = 'cha-cha-cha' AND "Pair" = 'mitchell & jessica' | 0.09375 |
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 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 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)
| how many patients aged below 70 years had a drug route ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "70" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "70" > "demographic"."age" | 0.209961 |
CREATE TABLE table_name_23 (player VARCHAR, nationality VARCHAR, year VARCHAR)
| After 2009, who was the player that has a nationality of Canada? | SELECT player FROM table_name_23 WHERE nationality = "canada" AND year > 2009 | SELECT "player" FROM "table_name_23" WHERE "canada" = "nationality" AND "year" > 2009 | 0.083008 |
CREATE TABLE Products (Product_ID INT, Product_Type_Code CHAR, Product_Name VARCHAR, Product_Price DECIMAL)
CREATE TABLE Assets (Asset_ID INT, Other_Details VARCHAR)
CREATE TABLE Addresses (Address_ID INT, address_details VARCHAR)
CREATE TABLE Products_in_Events (Product_in_Event_ID INT, Event_ID INT, Product_ID INT)
CREATE TABLE Parties (Party_ID INT, Party_Details VARCHAR)
CREATE TABLE Locations (Location_ID INT, Other_Details VARCHAR)
CREATE TABLE Finances (Finance_ID INT, Other_Details VARCHAR)
CREATE TABLE Events (Event_ID INT, Address_ID INT, Channel_ID INT, Event_Type_Code CHAR, Finance_ID INT, Location_ID INT)
CREATE TABLE Assets_in_Events (Asset_ID INT, Event_ID INT)
CREATE TABLE Channels (Channel_ID INT, Other_Details VARCHAR)
CREATE TABLE Agreements (Document_ID INT, Event_ID INT)
CREATE TABLE Parties_in_Events (Party_ID INT, Event_ID INT, Role_Code CHAR)
| Show different type codes of products and the number of products with each type code Visualize by bar chart, sort in asc by the bars. | SELECT Product_Type_Code, COUNT(*) FROM Products GROUP BY Product_Type_Code ORDER BY Product_Type_Code | SELECT "Product_Type_Code", COUNT(*) FROM "Products" GROUP BY "Product_Type_Code" ORDER BY "Product_Type_Code" NULLS FIRST | 0.119141 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
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 (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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
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_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
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 gsi (course_offering_id INT, student_id INT)
| Is DENTED 614 always taught by Prof. Virginia Murphy or Prof. James Borders ? | SELECT COUNT(*) = 0 FROM course, course_offering, instructor, offering_instructor WHERE (NOT instructor.name LIKE '%Virginia Murphy%' AND NOT instructor.name LIKE '%James Borders%') AND course.course_id = course_offering.course_id AND course.department = 'DENTED' AND course.number = 614 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%James Borders%' AND NOT "instructor"."name" LIKE '%Virginia Murphy%' WHERE "course"."department" = 'DENTED' AND "course"."number" = 614 | 0.461914 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
| an AA flight FIRST class from PHILADELPHIA to DALLAS | 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, fare, fare_basis, flight, flight_fare WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.774414 |
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 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)
| what is age and insurance of subject id 31066? | SELECT demographic.age, demographic.insurance FROM demographic WHERE demographic.subject_id = "31066" | SELECT "demographic"."age", "demographic"."insurance" FROM "demographic" WHERE "31066" = "demographic"."subject_id" | 0.112305 |
CREATE TABLE table_name_39 (bush_percentage VARCHAR, kerry_percentage VARCHAR)
| When Keey has 58.1% what % does Bush have? | SELECT bush_percentage FROM table_name_39 WHERE kerry_percentage = "58.1%" | SELECT "bush_percentage" FROM "table_name_39" WHERE "58.1%" = "kerry_percentage" | 0.078125 |
CREATE TABLE table_18862490_2 (to_par VARCHAR, year VARCHAR)
| What score to par won in 1998? | SELECT to_par FROM table_18862490_2 WHERE year = 1998 | SELECT "to_par" FROM "table_18862490_2" WHERE "year" = 1998 | 0.057617 |
CREATE TABLE table_204_62 (id DECIMAL, "year" DECIMAL, "winner" TEXT, "second" TEXT, "third" TEXT, "starters" DECIMAL)
| which horse finished first in the breeders cup in 1985 ? | SELECT "winner" FROM table_204_62 WHERE "year" = 1985 | SELECT "winner" FROM "table_204_62" WHERE "year" = 1985 | 0.053711 |
CREATE TABLE table_7207 ("Objects" TEXT, "Date" TEXT, "SiO 2" FLOAT, "Al 2 O 3" FLOAT, "Fe 2 O 3" FLOAT, "K 2 O" FLOAT, "Na 2 O" FLOAT)
| What is the highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62? | SELECT MAX("K 2 O") FROM table_7207 WHERE "Na 2 O" > '1.87' AND "Fe 2 O 3" > '0.07' AND "Objects" = 'ritual disk' AND "Al 2 O 3" < '0.62' | SELECT MAX("K 2 O") FROM "table_7207" WHERE "Al 2 O 3" < '0.62' AND "Fe 2 O 3" > '0.07' AND "Na 2 O" > '1.87' AND "Objects" = 'ritual disk' | 0.135742 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 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 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Search Users By Area and Tag. | SELECT ROW_NUMBER() OVER (ORDER BY SUM(p.Score) DESC) AS "#", p.OwnerUserId AS "user_link", MAX(u.Reputation) AS "total_reputation", SUM(p.Score) AS "tag_upvote", SUM(p.Score) * 10 + MAX(CASE q.AcceptedAnswerId WHEN p.Id THEN 15 ELSE 0 END) AS "tag_reputation", SUM(CASE q.AcceptedAnswerId WHEN p.Id THEN 1 ELSE 0 END) AS "accepted_answers", COUNT(p.Id) AS "answers_per_tag" FROM Users AS u JOIN Posts AS p ON p.OwnerUserId = u.Id INNER JOIN Posts AS q ON q.Id = p.ParentId WHERE LOWER(u.Location) LIKE LOWER('%##CityName##%') AND p.PostTypeId = 2 AND q.Tags LIKE LOWER('%<##TagName##>%') GROUP BY p.OwnerUserId ORDER BY SUM(p.Score) DESC | SELECT ROW_NUMBER() OVER (ORDER BY SUM("p"."Score") DESC NULLS LAST) AS "#", "p"."OwnerUserId" AS "user_link", MAX("u"."Reputation") AS "total_reputation", SUM("p"."Score") AS "tag_upvote", SUM("p"."Score") * 10 + MAX(CASE WHEN "p"."Id" = "q"."AcceptedAnswerId" THEN 15 ELSE 0 END) AS "tag_reputation", SUM(CASE WHEN "p"."Id" = "q"."AcceptedAnswerId" THEN 1 ELSE 0 END) AS "accepted_answers", COUNT("p"."Id") AS "answers_per_tag" FROM "Users" AS "u" JOIN "Posts" AS "p" ON "p"."OwnerUserId" = "u"."Id" AND "p"."PostTypeId" = 2 JOIN "Posts" AS "q" ON "p"."ParentId" = "q"."Id" AND "q"."Tags" LIKE LOWER('%<##TagName##>%') WHERE LOWER("u"."Location") LIKE LOWER('%##CityName##%') GROUP BY "p"."OwnerUserId" ORDER BY SUM("p"."Score") DESC NULLS LAST | 0.728516 |
CREATE TABLE ship (Ship_ID INT, Name TEXT, Type TEXT, Nationality TEXT, Tonnage INT)
CREATE TABLE mission (Mission_ID INT, Ship_ID INT, Code TEXT, Launched_Year INT, Location TEXT, Speed_knots INT, Fate TEXT)
| Show different types of ships and the average tonnage of ships of each type in a bar chart, and could you sort by the x-axis in ascending please? | SELECT Type, AVG(Tonnage) FROM ship GROUP BY Type ORDER BY Type | SELECT "Type", AVG("Tonnage") FROM "ship" GROUP BY "Type" ORDER BY "Type" NULLS FIRST | 0.083008 |
CREATE TABLE table_11248 ("Player" TEXT, "Rec." FLOAT, "Yards" TEXT, "Avg." TEXT, "TD's" FLOAT, "Long" TEXT)
| When the Long is 42, what is the average TD's? | SELECT AVG("TD's") FROM table_11248 WHERE "Long" = '42' | SELECT AVG("TD's") FROM "table_11248" WHERE "Long" = '42' | 0.055664 |
CREATE TABLE table_name_66 (year__ceremony_ VARCHAR, director VARCHAR)
| What is Year (Ceremony), when Director is 'Wang Siu-Di'? | SELECT year__ceremony_ FROM table_name_66 WHERE director = "wang siu-di" | SELECT "year__ceremony_" FROM "table_name_66" WHERE "director" = "wang siu-di" | 0.076172 |
CREATE TABLE table_30398 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
| How many different partners played in the finale in 1973? | SELECT COUNT("Partner") FROM table_30398 WHERE "Year" = '1973' | SELECT COUNT("Partner") FROM "table_30398" WHERE "Year" = '1973' | 0.0625 |
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)
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)
| What are the number of the dates in which the mean sea level pressure was between 303 and 31?, and could you rank in desc by the y-axis? | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 ORDER BY COUNT(date) DESC | SELECT "date", COUNT("date") FROM "weather" WHERE "mean_sea_level_pressure_inches" <= 31 AND "mean_sea_level_pressure_inches" >= 30.3 ORDER BY COUNT("date") DESC NULLS LAST | 0.167969 |
CREATE TABLE election (Election_ID INT, Counties_Represented TEXT, District INT, Delegate TEXT, Party INT, First_Elected FLOAT, Committee TEXT)
CREATE TABLE party (Party_ID INT, Year FLOAT, Party TEXT, Governor TEXT, Lieutenant_Governor TEXT, Comptroller TEXT, Attorney_General TEXT, US_Senate TEXT)
CREATE TABLE county (County_Id INT, County_name TEXT, Population FLOAT, Zip_code TEXT)
| Draw a bar chart for what are the name and population of each county?, and I want to sort by the x axis in asc. | SELECT County_name, Population FROM county ORDER BY County_name | SELECT "County_name", "Population" FROM "county" ORDER BY "County_name" NULLS FIRST | 0.081055 |
CREATE TABLE table_name_63 (round VARCHAR, nfl_club VARCHAR)
| What is the round of the new york jets NFL club? | SELECT round FROM table_name_63 WHERE nfl_club = "new york jets" | SELECT "round" FROM "table_name_63" WHERE "new york jets" = "nfl_club" | 0.068359 |
CREATE TABLE table_64203 ("Years covered" TEXT, "All bills sponsored" FLOAT, "All amendments sponsored" FLOAT, "All bills cosponsored" FLOAT, "All amendments cosponsored" FLOAT, "Bills originally cosponsored" FLOAT, "Amendments originally cosponsored" FLOAT)
| What is the highest number of bills cosponsored associated with under 24 bills sponsored and under 16 amendments sponsored? | SELECT MAX("All bills cosponsored") FROM table_64203 WHERE "All bills sponsored" < '24' AND "All amendments sponsored" < '16' | SELECT MAX("All bills cosponsored") FROM "table_64203" WHERE "All amendments sponsored" < '16' AND "All bills sponsored" < '24' | 0.124023 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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)
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 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 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| how many patients have had a proximal gastrectomy procedure? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'proximal gastrectomy')) | WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'proximal gastrectomy' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.392578 |
CREATE TABLE table_27561503_2 (gt_20_winning_team VARCHAR, sports_20_winning_team VARCHAR, circuit VARCHAR)
| Name the gt 2.0 winning team for sports 2.0 winning team for #16 trans ocean motors for castle rock | SELECT COUNT(gt_20_winning_team) FROM table_27561503_2 WHERE sports_20_winning_team = "#16 Trans Ocean Motors" AND circuit = "Castle Rock" | SELECT COUNT("gt_20_winning_team") FROM "table_27561503_2" WHERE "#16 Trans Ocean Motors" = "sports_20_winning_team" AND "Castle Rock" = "circuit" | 0.142578 |
CREATE TABLE table_name_19 (home__2nd_leg_ VARCHAR, aggregate VARCHAR)
| Which team played at home for the second leg and has aggregate score of 2-0? | SELECT home__2nd_leg_ FROM table_name_19 WHERE aggregate = "2-0" | SELECT "home__2nd_leg_" FROM "table_name_19" WHERE "2-0" = "aggregate" | 0.068359 |
CREATE TABLE table_17695 ("Year" FLOAT, "Winner" TEXT, "Winning Hand" TEXT, "Prize Money" TEXT, "Entrants" FLOAT, "Runner-Up" TEXT, "Losing Hand" TEXT)
| What was the losing hand where the winning hand was 7h 7s? | SELECT "Losing Hand" FROM table_17695 WHERE "Winning Hand" = '7h 7s' | SELECT "Losing Hand" FROM "table_17695" WHERE "Winning Hand" = '7h 7s' | 0.068359 |
CREATE TABLE table_12258 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "Year" FLOAT)
| What is the total pick number of the los angeles dodgers, which has a lhp position before 1979? | SELECT COUNT("Pick") FROM table_12258 WHERE "Team" = 'los angeles dodgers' AND "Position" = 'lhp' AND "Year" < '1979' | SELECT COUNT("Pick") FROM "table_12258" WHERE "Position" = 'lhp' AND "Team" = 'los angeles dodgers' AND "Year" < '1979' | 0.116211 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| this month, list the daily minimum systemicdiastolic of patient 010-16572. | SELECT MIN(vitalperiodic.systemicdiastolic) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-16572')) AND NOT vitalperiodic.systemicdiastolic IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-16572' 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 MIN("vitalperiodic"."systemicdiastolic") 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', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicdiastolic" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") | 0.753906 |
CREATE TABLE table_46154 ("Game" TEXT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
| Who was the opponent when they played at Delta Center with a record of 27-13? | SELECT "Opponent" FROM table_46154 WHERE "Location/Attendance" = 'delta center' AND "Record" = '27-13' | SELECT "Opponent" FROM "table_46154" WHERE "Location/Attendance" = 'delta center' AND "Record" = '27-13' | 0.101563 |
CREATE TABLE bank (branch_ID INT, bname VARCHAR, no_of_customers INT, city VARCHAR, state VARCHAR)
CREATE TABLE customer (cust_ID VARCHAR, cust_name VARCHAR, acc_type CHAR, acc_bal INT, no_of_loans INT, credit_score INT, branch_ID INT, state VARCHAR)
CREATE TABLE loan (loan_ID VARCHAR, loan_type VARCHAR, cust_ID VARCHAR, branch_ID VARCHAR, amount INT)
| Show me the proportion on what are the different names and credit scores of customers who have taken a loan? | SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID | SELECT "cust_name", "credit_score" FROM "customer" AS "T1" JOIN "loan" AS "T2" ON "T1"."cust_ID" = "T2"."cust_ID" | 0.110352 |
CREATE TABLE table_name_84 (floors INT, name VARCHAR)
| Which Floors is the highest one that has a Name of one indiana square? | SELECT MAX(floors) FROM table_name_84 WHERE name = "one indiana square" | SELECT MAX("floors") FROM "table_name_84" WHERE "name" = "one indiana square" | 0.075195 |
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)
| Return a scatter chart about the correlation between Team_ID and School_ID , and group by attribute ACC_Road. | SELECT Team_ID, School_ID FROM basketball_match GROUP BY ACC_Road | SELECT "Team_ID", "School_ID" FROM "basketball_match" GROUP BY "ACC_Road" | 0.071289 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 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 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| how did patient 11426 get admitted to the hospital for the first time until 2101? | SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 11426 AND STRFTIME('%y', admissions.admittime) <= '2101' ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admission_type" FROM "admissions" WHERE "admissions"."subject_id" = 11426 AND STRFTIME('%y', "admissions"."admittime") <= '2101' ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1 | 0.198242 |
CREATE TABLE table_name_43 (character VARCHAR, year VARCHAR)
| What is the character for 2005? | SELECT character FROM table_name_43 WHERE year = 2005 | SELECT "character" FROM "table_name_43" WHERE "year" = 2005 | 0.057617 |
CREATE TABLE table_19215259_1 (frequency VARCHAR, branding VARCHAR)
| What is the frequency of 101.5 News FM? | SELECT frequency FROM table_19215259_1 WHERE branding = "101.5 News FM" | SELECT "frequency" FROM "table_19215259_1" WHERE "101.5 News FM" = "branding" | 0.075195 |
CREATE TABLE table_35283 ("Year" FLOAT, "Location" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT)
| Which location had a year over 2006? | SELECT "Location" FROM table_35283 WHERE "Year" > '2006' | SELECT "Location" FROM "table_35283" WHERE "Year" > '2006' | 0.056641 |
CREATE TABLE table_26419467_1 (alumni VARCHAR, original_season VARCHAR)
| What alumni were in rw: cancun as their original season? | SELECT alumni FROM table_26419467_1 WHERE original_season = "RW: Cancun" | SELECT "alumni" FROM "table_26419467_1" WHERE "RW: Cancun" = "original_season" | 0.076172 |
CREATE TABLE table_5070 ("Ranking" FLOAT, "Nationality" TEXT, "Name" TEXT, "Years" TEXT, "Goals" FLOAT)
| What name is the goals of 25? | SELECT "Name" FROM table_5070 WHERE "Goals" = '25' | SELECT "Name" FROM "table_5070" WHERE "Goals" = '25' | 0.050781 |
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 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 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 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| how much is dextrose 50 % in water (d50w) injection 15 ml costing? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'dextrose 50 % in water (d50w) injection 15 ml') | WITH "_u_0" AS (SELECT "medication"."medicationid" FROM "medication" WHERE "medication"."drugname" = 'dextrose 50 % in water (d50w) injection 15 ml' GROUP BY "medicationid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'medication' AND NOT "_u_0"."" IS NULL | 0.332031 |
CREATE TABLE table_27155243_3 (total__number VARCHAR, directed_by VARCHAR)
| How many different episode numbers are there for the episodes directed by Sheri Elwood? | SELECT COUNT(total__number) FROM table_27155243_3 WHERE directed_by = "Sheri Elwood" | SELECT COUNT("total__number") FROM "table_27155243_3" WHERE "Sheri Elwood" = "directed_by" | 0.087891 |
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