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CREATE TABLE table_18909 ("Tournament" TEXT, "Matches" FLOAT, "Wins Olimpia" FLOAT, "Empates" FLOAT, "Wins Cerro" FLOAT, "Goals Olimpia" FLOAT, "Goals Cerro" FLOAT)
| What was the number of matches when the Goals Olimpia was 149? | SELECT "Matches" FROM table_18909 WHERE "Goals Olimpia" = '149' | SELECT "Matches" FROM "table_18909" WHERE "Goals Olimpia" = '149' | 0.063477 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| what are the four most frequent drugs prescribed during the same hospital visit to the male patients of age 20s after having been diagnosed with long-term use anticoagul since 3 years ago? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'long-term use anticoagul') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 20 AND 29 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 29 AND "admissions"."age" >= 20 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'long-term use anticoagul' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 1.198242 |
CREATE TABLE table_6426 ("Make/ Model" TEXT, "length" TEXT, "Year" FLOAT, "Numbers ( Quantity Ordered ) " TEXT, "Fuel Propulsion" TEXT)
| Which Make/ Model that Numbers (Quantity Ordered) of 1461 1500 (40 buses)? | SELECT "Make/ Model" FROM table_6426 WHERE "Numbers (Quantity Ordered)" = '1461–1500 (40 buses)' | SELECT "Make/ Model" FROM "table_6426" WHERE "Numbers (Quantity Ordered)" = '1461–1500 (40 buses)' | 0.095703 |
CREATE TABLE table_75556 ("Call sign" TEXT, "Frequency MHz" FLOAT, "City of license" TEXT, "ERP W" FLOAT, "Height m ( ft ) " TEXT, "FCC info" TEXT)
| Which City of license has a Frequency MHz smaller than 100.9, and a ERP W larger than 100? | SELECT "City of license" FROM table_75556 WHERE "Frequency MHz" < '100.9' AND "ERP W" > '100' | SELECT "City of license" FROM "table_75556" WHERE "ERP W" > '100' AND "Frequency MHz" < '100.9' | 0.092773 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients younger than 27 years have meropenem prescription? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "27" AND prescriptions.drug = "Meropenem" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Meropenem" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "27" > "demographic"."age" | 0.212891 |
CREATE TABLE Movie (director VARCHAR, title VARCHAR)
| For directors who had more than one movie, return the titles and produced years of all movies directed by them. | SELECT T1.title, T1.year FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title <> T2.title | SELECT "T1"."title", "T1"."year" FROM "Movie" AS "T1" JOIN "Movie" AS "T2" ON "T1"."director" = "T2"."director" AND "T1"."title" <> "T2"."title" | 0.140625 |
CREATE TABLE table_61167 ("Season" FLOAT, "Season premiere" TEXT, "Season finale" TEXT, "TV season" TEXT, "Viewer rank ( # ) " TEXT, "Households/Viewers ( in millions ) " FLOAT)
| What season had a viewer rank of #4? | SELECT COUNT("Season") FROM table_61167 WHERE "Viewer rank (#)" = '#4' | SELECT COUNT("Season") FROM "table_61167" WHERE "Viewer rank (#)" = '#4' | 0.070313 |
CREATE TABLE table_name_78 (venue VARCHAR, date VARCHAR, result VARCHAR, competition VARCHAR)
| Where was the friendly competition that Andriy Yarmolenko won on 28 may 2012? | SELECT venue FROM table_name_78 WHERE result = "won" AND competition = "friendly" AND date = "28 may 2012" | SELECT "venue" FROM "table_name_78" WHERE "28 may 2012" = "date" AND "competition" = "friendly" AND "result" = "won" | 0.113281 |
CREATE TABLE table_name_22 (location VARCHAR, time VARCHAR)
| What is the Location when the time was 11:55? | SELECT location FROM table_name_22 WHERE time = "11:55" | SELECT "location" FROM "table_name_22" WHERE "11:55" = "time" | 0.05957 |
CREATE TABLE table_name_2 (year VARCHAR, numbers__quantity_ordered_ VARCHAR, fuel_propulsion VARCHAR, length VARCHAR)
| What year was the diesel fuel propulsion, with a length of 40', and numbers (quanity ordered) of 3701-3729 (29 buses), retired? | SELECT year AS Retired FROM table_name_2 WHERE fuel_propulsion = "diesel" AND length = "40'" AND numbers__quantity_ordered_ = "3701-3729 (29 buses)" | SELECT "year" AS "Retired" FROM "table_name_2" WHERE "3701-3729 (29 buses)" = "numbers__quantity_ordered_" AND "40'" = "length" AND "diesel" = "fuel_propulsion" | 0.15625 |
CREATE TABLE table_42834 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| What is the mean number of against when the position is less than 1? | SELECT AVG("Against") FROM table_42834 WHERE "Position" < '1' | SELECT AVG("Against") FROM "table_42834" WHERE "Position" < '1' | 0.061523 |
CREATE TABLE table_name_74 (points INT, difference VARCHAR, lost VARCHAR, drawn VARCHAR)
| Which average Points have a Lost larger than 2, and Drawn larger than 2, and a Difference of 0? | SELECT AVG(points) FROM table_name_74 WHERE lost > 2 AND drawn > 2 AND difference = "0" | SELECT AVG("points") FROM "table_name_74" WHERE "0" = "difference" AND "drawn" > 2 AND "lost" > 2 | 0.094727 |
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)
| Show me about the correlation between Team_ID and ACC_Percent , and group by attribute ACC_Regular_Season in a scatter chart. | SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY ACC_Regular_Season | SELECT "Team_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "ACC_Regular_Season" | 0.083008 |
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
| Show me a bar chart for how many total credits are offered by each department?, sort by the bar in desc. | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY dept_name DESC | SELECT "dept_name", SUM("credits") FROM "course" GROUP BY "dept_name" ORDER BY "dept_name" DESC NULLS LAST | 0.103516 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
| Most voted questions tagged with Ruby. | SELECT Id, * FROM Posts AS Question WHERE Tags LIKE '%ruby%' AND PostTypeId = 2 ORDER BY Score DESC LIMIT 150 | SELECT "Id", * FROM "Posts" AS "Question" WHERE "PostTypeId" = 2 AND "Tags" LIKE '%ruby%' ORDER BY "Score" DESC NULLS LAST LIMIT 150 | 0.128906 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
CREATE TABLE Has_amenity (dormid INT, amenid INT)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
| What is the average age for each gender of student? Return a bar chart, and display from low to high by the the average of age. | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex ORDER BY AVG(Age) | SELECT "Sex", AVG("Age") FROM "Student" GROUP BY "Sex" ORDER BY AVG("Age") NULLS FIRST | 0.083984 |
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| Show the number of courses for each course description in a stacked bar chart The x-axis is course description and group by office name, and list in descending by the x-axis. | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY PROF_OFFICE, CRS_DESCRIPTION ORDER BY CRS_DESCRIPTION DESC | SELECT "CRS_DESCRIPTION", COUNT("CRS_DESCRIPTION") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" AS "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" JOIN "PROFESSOR" AS "T4" ON "T2"."EMP_NUM" = "T4"."EMP_NUM" GROUP BY "PROF_OFFICE", "CRS_DESCRIPTION" ORDER BY "CRS_DESCRIPTION" DESC NULLS LAST | 0.327148 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 diagnoses_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 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| calculate how many times oxymetazoline was prescribed to patient 88191 on their first hospital encounter. | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 88191 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND prescriptions.drug = 'oxymetazoline' | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'oxymetazoline' AND "prescriptions"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 88191 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) | 0.293945 |
CREATE TABLE table_65948 ("Rank" FLOAT, "Athlete" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| Who had a time of 7:14.64? | SELECT "Athlete" FROM table_65948 WHERE "Time" = '7:14.64' | SELECT "Athlete" FROM "table_65948" WHERE "Time" = '7:14.64' | 0.058594 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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)
| just show me the top three most common diagnosis since 1 year ago? | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3 | WITH "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" WHERE DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3 | 0.308594 |
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)
| tell me the cost of a prescription drug called calcium chloride? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'prescriptions' AND cost.event_id IN (SELECT prescriptions.row_id FROM prescriptions WHERE prescriptions.drug = 'calcium chloride') | WITH "_u_0" AS (SELECT "prescriptions"."row_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'calcium chloride' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."event_id" WHERE "cost"."event_type" = 'prescriptions' AND NOT "_u_0"."" IS NULL | 0.301758 |
CREATE TABLE table_name_60 (year VARCHAR, ratt VARCHAR, comp VARCHAR)
| What year has a RAtt of 1 and a comp of 49? | SELECT year FROM table_name_60 WHERE ratt = "1" AND comp = "49" | SELECT "year" FROM "table_name_60" WHERE "1" = "ratt" AND "49" = "comp" | 0.069336 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 diagnoses_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_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_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)
| when did patient 73652 last have the minimum urobilinogen - value during the first hospital visit? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73652 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'urobilinogen') ORDER BY labevents.valuenum, labevents.charttime DESC LIMIT 1 | WITH "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'urobilinogen' GROUP BY "itemid") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73652 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."valuenum" NULLS FIRST, "labevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.557617 |
CREATE TABLE table_name_65 (driver VARCHAR, time_retired VARCHAR)
| Who had to retire due to suspension? | SELECT driver FROM table_name_65 WHERE time_retired = "suspension" | SELECT "driver" FROM "table_name_65" WHERE "suspension" = "time_retired" | 0.070313 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE month (month_number INT, month_name 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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)
| does AA fly from PHILADELPHIA to SAN FRANCISCO | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'AA') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'AA' JOIN "airport_service" AS "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.610352 |
CREATE TABLE table_name_8 (place VARCHAR, country VARCHAR, score VARCHAR)
| What place is the United States in that has a score of 68-73-68=209? | SELECT place FROM table_name_8 WHERE country = "united states" AND score = 68 - 73 - 68 = 209 | SELECT "place" FROM "table_name_8" WHERE "country" = "united states" AND "score" = FALSE | 0.085938 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For those employees who was hired before 2002-06-21, show me about the distribution of hire_date and the sum of salary bin hire_date by weekday in a bar chart, I want to display in desc by the total number. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(SALARY) DESC | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("SALARY") DESC NULLS LAST | 0.119141 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
| Who else has commented on the same posts?. | SELECT u.Id AS "Other User ID", u.DisplayName AS "Name", u.Reputation AS "Reputation", co.CreationDate AS "Comment Date", p.Id AS "Answer ID", pp.Id AS "Question ID", pp.Title AS "Title" FROM Posts AS p JOIN Posts AS pp ON pp.Id = p.ParentId JOIN Comments AS c ON c.PostId = p.Id JOIN Comments AS co ON co.PostId = p.Id JOIN Users AS u ON co.UserId = u.Id WHERE p.PostTypeId = 2 AND c.UserId = 206691 AND co.UserId != 206691 AND p.OwnerUserId != 206691 | SELECT "u"."Id" AS "Other User ID", "u"."DisplayName" AS "Name", "u"."Reputation" AS "Reputation", "co"."CreationDate" AS "Comment Date", "p"."Id" AS "Answer ID", "pp"."Id" AS "Question ID", "pp"."Title" AS "Title" FROM "Posts" AS "p" JOIN "Comments" AS "c" ON "c"."PostId" = "p"."Id" AND "c"."UserId" = 206691 JOIN "Comments" AS "co" ON "co"."PostId" = "p"."Id" AND "co"."UserId" <> 206691 JOIN "Posts" AS "pp" ON "p"."ParentId" = "pp"."Id" JOIN "Users" AS "u" ON "co"."UserId" = "u"."Id" WHERE "p"."OwnerUserId" <> 206691 AND "p"."PostTypeId" = 2 | 0.535156 |
CREATE TABLE Project_Outcomes (project_id INT, outcome_code VARCHAR, outcome_details VARCHAR)
CREATE TABLE Project_Staff (staff_id DOUBLE, project_id INT, role_code VARCHAR, date_from DATETIME, date_to DATETIME, other_details VARCHAR)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR, outcome_description VARCHAR)
CREATE TABLE Organisation_Types (organisation_type VARCHAR, organisation_type_description VARCHAR)
CREATE TABLE Projects (project_id INT, organisation_id INT, project_details VARCHAR)
CREATE TABLE Grants (grant_id INT, organisation_id INT, grant_amount DECIMAL, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR)
CREATE TABLE Staff_Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Tasks (task_id INT, project_id INT, task_details VARCHAR, "eg Agree Objectives" VARCHAR)
CREATE TABLE Document_Types (document_type_code VARCHAR, document_description VARCHAR)
CREATE TABLE Research_Staff (staff_id INT, employer_organisation_id INT, staff_details VARCHAR)
CREATE TABLE Documents (document_id INT, document_type_code VARCHAR, grant_id INT, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR)
CREATE TABLE Organisations (organisation_id INT, organisation_type VARCHAR, organisation_details VARCHAR)
| Find the organisation ids and details of the organisations which are involved i. Visualize by pie chart. | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details | SELECT "T2"."organisation_details", "T1"."organisation_id" FROM "Grants" AS "T1" JOIN "Organisations" AS "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "T2"."organisation_details" | 0.192383 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the sum of department_id bin hire_date by weekday, and visualize them by a bar chart, and show y axis in ascending order. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(DEPARTMENT_ID) | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("DEPARTMENT_ID") NULLS FIRST | 0.216797 |
CREATE TABLE table_25306 ("Country" TEXT, "Type of Protection" TEXT, "Maximum Term" TEXT, "PCT route available" TEXT, "Conversion from Patent Application" TEXT)
| In Tangier Zone, what is the PCT route availibility? | SELECT "PCT route available" FROM table_25306 WHERE "Country" = 'Tangier Zone' | SELECT "PCT route available" FROM "table_25306" WHERE "Country" = 'Tangier Zone' | 0.078125 |
CREATE TABLE table_21422977_2 (ministries VARCHAR, duration VARCHAR)
| What is the ministries number when duration is 4 years, 4 days (1,465 days)? | SELECT ministries FROM table_21422977_2 WHERE duration = "4 years, 4 days (1,465 days)" | SELECT "ministries" FROM "table_21422977_2" WHERE "4 years, 4 days (1,465 days)" = "duration" | 0.09082 |
CREATE TABLE table_62687 ("Seat" FLOAT, "Series 1" TEXT, "Series 2" TEXT, "Series 3" TEXT, "Series 4" TEXT)
| What shows for series 4 when the seat shows 1? | SELECT "Series 4" FROM table_62687 WHERE "Seat" = '1' | SELECT "Series 4" FROM "table_62687" WHERE "Seat" = '1' | 0.053711 |
CREATE TABLE table_26706 ("Major version" TEXT, "Minor version" TEXT, "WebKit version" TEXT, "Operating System" TEXT, "Release date" TEXT, "Features" TEXT)
| List all webkit versions when the major version was Safari 3, and the minor version was 3.1.2. | SELECT "WebKit version" FROM table_26706 WHERE "Major version" = 'Safari 3' AND "Minor version" = '3.1.2' | SELECT "WebKit version" FROM "table_26706" WHERE "Major version" = 'Safari 3' AND "Minor version" = '3.1.2' | 0.104492 |
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
| Give me the comparison about the average of Height over the Sex , and group by attribute Sex, I want to sort from low to high by the mean height. | SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height) | SELECT "Sex", AVG("Height") FROM "people" GROUP BY "Sex" ORDER BY AVG("Height") NULLS FIRST | 0.088867 |
CREATE TABLE table_name_84 (nation VARCHAR, performance VARCHAR)
| Which nation ran a time of 9.69 seconds? | SELECT nation FROM table_name_84 WHERE performance = "9.69" | SELECT "nation" FROM "table_name_84" WHERE "9.69" = "performance" | 0.063477 |
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)
| which patients have diagnoses icd9 code 34831? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "34831" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "34831" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.169922 |
CREATE TABLE table_63032 ("Rank" FLOAT, "Peak" TEXT, "Country" TEXT, "Island" TEXT, "Elevation ( m ) " FLOAT, "Prominence ( m ) " FLOAT, "Col ( m ) " FLOAT)
| How much Col (m) has a Prominence (m) larger than 1,897, and a Rank smaller than 6? | SELECT COUNT("Col (m)") FROM table_63032 WHERE "Prominence (m)" > '1,897' AND "Rank" < '6' | SELECT COUNT("Col (m)") FROM "table_63032" WHERE "Prominence (m)" > '1,897' AND "Rank" < '6' | 0.089844 |
CREATE TABLE table_28190 ("Name of Award" TEXT, "Name of Film" TEXT, "Language" TEXT, "Awardee ( s ) " TEXT, "Cash Prize" TEXT)
| what is the language when the awardee is re-recordist : mateen ahmad? | SELECT "Language" FROM table_28190 WHERE "Awardee(s)" = 'Re-recordist : Mateen Ahmad' | SELECT "Language" FROM "table_28190" WHERE "Awardee(s)" = 'Re-recordist : Mateen Ahmad' | 0.084961 |
CREATE TABLE table_14345690_15 (series VARCHAR, main_presenter VARCHAR)
| What series have Caroline Flack as a main presenter? | SELECT series FROM table_14345690_15 WHERE main_presenter = "Caroline Flack" | SELECT "series" FROM "table_14345690_15" WHERE "Caroline Flack" = "main_presenter" | 0.080078 |
CREATE TABLE Transactions_Lots (transaction_id INT, lot_id INT)
CREATE TABLE Transactions (transaction_id INT, investor_id INT, transaction_type_code VARCHAR, date_of_transaction DATETIME, amount_of_transaction DECIMAL, share_count VARCHAR, other_details VARCHAR)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR, transaction_type_description VARCHAR)
CREATE TABLE Lots (lot_id INT, investor_id INT, lot_details VARCHAR)
CREATE TABLE Sales (sales_transaction_id INT, sales_details VARCHAR)
CREATE TABLE Investors (investor_id INT, Investor_details VARCHAR)
CREATE TABLE Purchases (purchase_transaction_id INT, purchase_details VARCHAR)
| For the dates of transactions with amount smaller than 3000, bin the date into year interval, and draw a line chart to show the trend of the number of records in each bin, and order by the x-axis in desc please. | SELECT date_of_transaction, COUNT(date_of_transaction) FROM Sales AS T1 JOIN Transactions AS T2 ON T1.sales_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction < 3000 ORDER BY date_of_transaction DESC | SELECT "date_of_transaction", COUNT("date_of_transaction") FROM "Sales" AS "T1" JOIN "Transactions" AS "T2" ON "T1"."sales_transaction_id" = "T2"."transaction_id" AND "T2"."amount_of_transaction" < 3000 ORDER BY "date_of_transaction" DESC NULLS LAST | 0.243164 |
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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (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)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
| what's the minimum total cost of a hospital that includes a laboratory triglycerides test in 2102? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'triglycerides')) AND STRFTIME('%y', cost.chargetime) = '2102' GROUP BY cost.hadm_id) AS t1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'triglycerides' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2102' GROUP BY "cost"."hadm_id") SELECT MIN("t1"."c1") FROM "t1" AS "t1" | 0.541016 |
CREATE TABLE table_21514460_1 (graduation_rate__2011_12_ VARCHAR, headquarters VARCHAR)
| What is the graduation rate for the school district with headquarters located in Sydney? | SELECT graduation_rate__2011_12_ FROM table_21514460_1 WHERE headquarters = "Sydney" | SELECT "graduation_rate__2011_12_" FROM "table_21514460_1" WHERE "Sydney" = "headquarters" | 0.087891 |
CREATE TABLE table_25087 ("#" FLOAT, "District" TEXT, "Province" TEXT, "Region" TEXT, "UBIGEO" FLOAT, "Elevation ( m ) " FLOAT)
| Which province has an elevation of 4550? | SELECT "Province" FROM table_25087 WHERE "Elevation (m)" = '4550' | SELECT "Province" FROM "table_25087" WHERE "Elevation (m)" = '4550' | 0.06543 |
CREATE TABLE table_18958648_1 (obesity_rank INT, state_and_district_of_columbia VARCHAR)
| What is the least obesity rank for the state of Utah? | SELECT MIN(obesity_rank) FROM table_18958648_1 WHERE state_and_district_of_columbia = "Utah" | SELECT MIN("obesity_rank") FROM "table_18958648_1" WHERE "Utah" = "state_and_district_of_columbia" | 0.095703 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
| Show the number of courses for each office in a stacked bar chart The x-axis is office name and group by course description, and display from low to high by the y axis please. | SELECT PROF_OFFICE, COUNT(PROF_OFFICE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY CRS_DESCRIPTION, PROF_OFFICE ORDER BY COUNT(PROF_OFFICE) | SELECT "PROF_OFFICE", COUNT("PROF_OFFICE") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" AS "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" JOIN "PROFESSOR" AS "T4" ON "T2"."EMP_NUM" = "T4"."EMP_NUM" GROUP BY "CRS_DESCRIPTION", "PROF_OFFICE" ORDER BY COUNT("PROF_OFFICE") NULLS FIRST | 0.318359 |
CREATE TABLE table_name_78 (total VARCHAR, set_1 VARCHAR, score VARCHAR, date VARCHAR)
| What is the Total with a Score of 3 0, and a Date of 14 oct, and has a Set 1 of 15 12? | SELECT total FROM table_name_78 WHERE score = "3–0" AND date = "14 oct" AND set_1 = "15–12" | SELECT "total" FROM "table_name_78" WHERE "14 oct" = "date" AND "15–12" = "set_1" AND "3–0" = "score" | 0.098633 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| how many days have elapsed since patient 006-157753's first xanax drug prescription during this hospital visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-157753') AND patient.hospitaldischargetime IS NULL) AND medication.drugname = 'xanax' ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-157753' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."hospitaldischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "medication"."drugstarttime")) FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'xanax' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1 | 0.695313 |
CREATE TABLE table_64239 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| what is the highest latitude when the township is kingsley and the geo id is higher than 3803942820? | SELECT MAX("Latitude") FROM table_64239 WHERE "Township" = 'kingsley' AND "GEO ID" > '3803942820' | SELECT MAX("Latitude") FROM "table_64239" WHERE "GEO ID" > '3803942820' AND "Township" = 'kingsley' | 0.09668 |
CREATE TABLE code_description (code VARCHAR, description 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
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 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
| list the nonstop flights early tuesday morning from DALLAS to ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 800) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 AND "flight"."stops" = 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.798828 |
CREATE TABLE table_name_70 (date_of_vacancy VARCHAR, manner_of_departure VARCHAR, replaced_by VARCHAR)
| On which date was the manager fired and replaced by Albert Cartier? | SELECT date_of_vacancy FROM table_name_70 WHERE manner_of_departure = "fired" AND replaced_by = "albert cartier" | SELECT "date_of_vacancy" FROM "table_name_70" WHERE "albert cartier" = "replaced_by" AND "fired" = "manner_of_departure" | 0.117188 |
CREATE TABLE table_5598 ("Season" TEXT, "Regionalliga S\\u00fcd" TEXT, "Regionalliga West/S\\u00fcdwest" TEXT, "Regionalliga Nord" TEXT, "Regionalliga Nord-Ost" TEXT)
| What is the Regionalliga Sud for 1995-96? | SELECT "Regionalliga S\u00fcd" FROM table_5598 WHERE "Season" = '1995-96' | SELECT "Regionalliga S\u00fcd" FROM "table_5598" WHERE "Season" = '1995-96' | 0.073242 |
CREATE TABLE table_14774 ("Gersdorf" TEXT, "Gershausen" TEXT, "Heddersdorf" TEXT, "Kemmerode" TEXT, "Kirchheim" TEXT, "Reckerode ****" TEXT, "Reimboldsh." TEXT, "Rotterterode" TEXT, "Willingshain" TEXT)
| What Willinghshain has Reimboldsh of 101? | SELECT "Willingshain" FROM table_14774 WHERE "Reimboldsh." = '101' | SELECT "Willingshain" FROM "table_14774" WHERE "Reimboldsh." = '101' | 0.066406 |
CREATE TABLE technician (technician_id DECIMAL, name TEXT, team TEXT, starting_year DECIMAL, age DECIMAL)
CREATE TABLE repair (repair_id DECIMAL, name TEXT, launch_date TEXT, notes TEXT)
CREATE TABLE repair_assignment (technician_id DECIMAL, repair_id DECIMAL, machine_id DECIMAL)
CREATE TABLE machine (machine_id DECIMAL, making_year DECIMAL, class TEXT, team TEXT, machine_series TEXT, value_points DECIMAL, quality_rank DECIMAL)
| List the name of technicians whose team is not 'NYY'. | SELECT name FROM technician WHERE team <> "NYY" | SELECT "name" FROM "technician" WHERE "NYY" <> "team" | 0.051758 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, show me about the distribution of name and revenue , and group by attribute name in a bar chart, order in descending by the y-axis. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T2.Revenue DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name" ORDER BY "T2"."Revenue" DESC NULLS LAST | 0.193359 |
CREATE TABLE table_203_420 (id DECIMAL, "#" DECIMAL, "stadium" TEXT, "capacity" DECIMAL, "city" TEXT, "home team" TEXT)
| what is the total number of people holm park can hold ? | SELECT "capacity" FROM table_203_420 WHERE "stadium" = 'holm park' | SELECT "capacity" FROM "table_203_420" WHERE "stadium" = 'holm park' | 0.066406 |
CREATE TABLE table_62005 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT, "Winner's share ( $ ) " FLOAT)
| What winning score has kraft nabisco championship as the tournament? | SELECT "Winning score" FROM table_62005 WHERE "Tournament" = 'kraft nabisco championship' | SELECT "Winning score" FROM "table_62005" WHERE "Tournament" = 'kraft nabisco championship' | 0.088867 |
CREATE TABLE table_name_81 (losses VARCHAR, ties VARCHAR, wins VARCHAR)
| What is the total number of Losses, when Ties is 2, and when Wins is greater than 8? | SELECT COUNT(losses) FROM table_name_81 WHERE ties = 2 AND wins > 8 | SELECT COUNT("losses") FROM "table_name_81" WHERE "ties" = 2 AND "wins" > 8 | 0.073242 |
CREATE TABLE table_11394 ("State" TEXT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
| Which smallest swimsuit number's interview was less than 8.574 when the average number was bigger than 8.532? | SELECT MIN("Swimsuit") FROM table_11394 WHERE "Interview" < '8.574' AND "Average" > '8.532' | SELECT MIN("Swimsuit") FROM "table_11394" WHERE "Average" > '8.532' AND "Interview" < '8.574' | 0.09082 |
CREATE TABLE table_203_794 (id DECIMAL, "year" DECIMAL, "location" TEXT, "attendance" DECIMAL, "theme phrase" TEXT, "top messages" TEXT, "host" TEXT, "opening general session guest ( s ) " TEXT, "closing general session guest ( s ) " TEXT, "sunday night reception" TEXT, "wednesday night party" TEXT, "cult shirt" TEXT)
| what was the year in which no event was held ? | SELECT "year" FROM table_203_794 WHERE "location" = 'no event' | SELECT "year" FROM "table_203_794" WHERE "location" = 'no event' | 0.0625 |
CREATE TABLE table_32199 ("Round" FLOAT, "Overall" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
| In which round did Paul McDonald have an overall greater than 109? | SELECT MAX("Round") FROM table_32199 WHERE "Player" = 'paul mcdonald' AND "Overall" > '109' | SELECT MAX("Round") FROM "table_32199" WHERE "Overall" > '109' AND "Player" = 'paul mcdonald' | 0.09082 |
CREATE TABLE table_name_14 (place VARCHAR, player VARCHAR, country VARCHAR, score VARCHAR)
| What is Place, when Score is 72-72=144, when Country is United States, and when Player is Scott McCarron? | SELECT place FROM table_name_14 WHERE score = 72 - 72 = 144 AND country = "united states" AND player = "scott mccarron" | SELECT "place" FROM "table_name_14" WHERE "country" = "united states" AND "player" = "scott mccarron" AND "score" = FALSE | 0.118164 |
CREATE TABLE table_27733909_1 (record VARCHAR, date VARCHAR)
| what is the overall number of times when the calendar showed october 6 | SELECT COUNT(record) FROM table_27733909_1 WHERE date = "October 6" | SELECT COUNT("record") FROM "table_27733909_1" WHERE "October 6" = "date" | 0.071289 |
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
| Return the number of the completion date for all the tests that have 'Fail' result, and rank by the bar in asc. | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" GROUP BY date_of_completion ORDER BY date_of_completion | SELECT "date_of_completion", COUNT("date_of_completion") FROM "Student_Course_Enrolment" AS "T1" JOIN "Student_Tests_Taken" AS "T2" ON "Fail" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" GROUP BY "date_of_completion" ORDER BY "date_of_completion" NULLS FIRST | 0.279297 |
CREATE TABLE table_name_94 (party VARCHAR, votes_cast VARCHAR, seats_won VARCHAR, percent_of_seats VARCHAR)
| Which party won less than 21 seats, has 0 percent of seats, and 69757 votes cast? | SELECT party FROM table_name_94 WHERE seats_won < 21 AND percent_of_seats = 0 AND votes_cast = 69757 | SELECT "party" FROM "table_name_94" WHERE "percent_of_seats" = 0 AND "seats_won" < 21 AND "votes_cast" = 69757 | 0.107422 |
CREATE TABLE table_54812 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the mean number of laps when time/retired was spun off and the driver was Nick Heidfeld? | SELECT AVG("Laps") FROM table_54812 WHERE "Time/Retired" = 'spun off' AND "Driver" = 'nick heidfeld' | SELECT AVG("Laps") FROM "table_54812" WHERE "Driver" = 'nick heidfeld' AND "Time/Retired" = 'spun off' | 0.099609 |
CREATE TABLE table_name_61 (away_team VARCHAR, tie_no VARCHAR)
| What is the name of the away team for Tie #19? | SELECT away_team FROM table_name_61 WHERE tie_no = "19" | SELECT "away_team" FROM "table_name_61" WHERE "19" = "tie_no" | 0.05957 |
CREATE TABLE table_name_34 (county VARCHAR, bush_number VARCHAR)
| Which county had a Bush number of votes of 566? | SELECT county FROM table_name_34 WHERE bush_number = 566 | SELECT "county" FROM "table_name_34" WHERE "bush_number" = 566 | 0.060547 |
CREATE TABLE table_name_79 (type VARCHAR, cancelable VARCHAR, attribute VARCHAR)
| Name the type with cancelable of no and attribute of ondragend | SELECT type FROM table_name_79 WHERE cancelable = "no" AND attribute = "ondragend" | SELECT "type" FROM "table_name_79" WHERE "attribute" = "ondragend" AND "cancelable" = "no" | 0.087891 |
CREATE TABLE table_23654 ("Player" TEXT, "Played" FLOAT, "Legs Won" FLOAT, "Legs Lost" FLOAT, "100+" FLOAT, "140+" FLOAT, "180s" FLOAT, "High Checkout" FLOAT, "3-dart Average" TEXT)
| what is the 3-dart average of raymond van barneveld | SELECT "3-dart Average" FROM table_23654 WHERE "Player" = 'Raymond van Barneveld' | SELECT "3-dart Average" FROM "table_23654" WHERE "Player" = 'Raymond van Barneveld' | 0.081055 |
CREATE TABLE table_203_636 (id DECIMAL, "#" DECIMAL, "date" TEXT, "winner" TEXT, "score" TEXT, "location" TEXT, "notes" TEXT)
| was the total score of the 2003 east west shrine game more or less than 35 ? | SELECT (SELECT "score" + "score" FROM table_203_636 WHERE "date" = 2003) > 35 | SELECT (SELECT "score" + "score" FROM "table_203_636" WHERE "date" = 2003) > 35 | 0.077148 |
CREATE TABLE table_21436373_6 (stadium VARCHAR, date_year VARCHAR)
| Which stadium has the date/year of Fri 06/25/82? | SELECT stadium FROM table_21436373_6 WHERE date_year = "Fri 06/25/82" | SELECT "stadium" FROM "table_21436373_6" WHERE "Fri 06/25/82" = "date_year" | 0.073242 |
CREATE TABLE team_franchise (franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT)
CREATE TABLE postseason (year INT, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INT, losses INT, ties INT)
CREATE TABLE player_college (player_id TEXT, college_id TEXT, year INT)
CREATE TABLE salary (year INT, team_id TEXT, league_id TEXT, player_id TEXT, salary INT)
CREATE TABLE manager (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, g INT, w INT, l INT, rank DECIMAL, plyr_mgr TEXT)
CREATE TABLE team (year INT, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INT, g INT, ghome DECIMAL, w INT, l INT, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INT, ab INT, h INT, double INT, triple INT, hr INT, bb INT, so DECIMAL, sb DECIMAL, cs DECIMAL, hbp DECIMAL, sf DECIMAL, ra INT, er INT, era DECIMAL, cg INT, sho INT, sv INT, ipouts INT, ha INT, hra INT, bba INT, soa INT, e INT, dp DECIMAL, fp DECIMAL, name TEXT, park TEXT, attendance DECIMAL, bpf INT, ppf INT, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT)
CREATE TABLE college (college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE fielding_postseason (player_id TEXT, year INT, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po INT, a INT, e INT, dp INT, tp INT, pb DECIMAL, sb DECIMAL, cs DECIMAL)
CREATE TABLE fielding (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po DECIMAL, a DECIMAL, e DECIMAL, dp DECIMAL, pb DECIMAL, wp DECIMAL, sb DECIMAL, cs DECIMAL, zr DECIMAL)
CREATE TABLE batting (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, g INT, ab DECIMAL, r DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, rbi DECIMAL, sb DECIMAL, cs DECIMAL, bb DECIMAL, so DECIMAL, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE pitching_postseason (player_id TEXT, year INT, round TEXT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts INT, h INT, er INT, hr INT, bb INT, so INT, baopp TEXT, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk DECIMAL, bfp DECIMAL, gf INT, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE all_star (player_id TEXT, year INT, game_num INT, game_id TEXT, team_id TEXT, league_id TEXT, gp DECIMAL, starting_pos DECIMAL)
CREATE TABLE manager_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes DECIMAL)
CREATE TABLE player_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max INT, votes_first DECIMAL)
CREATE TABLE appearances (year INT, team_id TEXT, league_id TEXT, player_id TEXT, g_all DECIMAL, gs DECIMAL, g_batting INT, g_defense DECIMAL, g_p INT, g_c INT, g_1b INT, g_2b INT, g_3b INT, g_ss INT, g_lf INT, g_cf INT, g_rf INT, g_of INT, g_dh DECIMAL, g_ph DECIMAL, g_pr DECIMAL)
CREATE TABLE hall_of_fame (player_id TEXT, yearid INT, votedby TEXT, ballots DECIMAL, needed DECIMAL, votes DECIMAL, inducted TEXT, category TEXT, needed_note TEXT)
CREATE TABLE fielding_outfield (player_id TEXT, year INT, stint INT, glf DECIMAL, gcf DECIMAL, grf DECIMAL)
CREATE TABLE pitching (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts DECIMAL, h INT, er INT, hr INT, bb INT, so INT, baopp DECIMAL, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk INT, bfp DECIMAL, gf DECIMAL, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE player (player_id TEXT, birth_year DECIMAL, birth_month DECIMAL, birth_day DECIMAL, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year DECIMAL, death_month DECIMAL, death_day DECIMAL, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight DECIMAL, height DECIMAL, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT)
CREATE TABLE home_game (year INT, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INT, openings INT, attendance INT)
CREATE TABLE park (park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE manager_half (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, half INT, g INT, w INT, l INT, rank INT)
CREATE TABLE manager_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won INT, points_max INT, votes_first INT)
CREATE TABLE batting_postseason (year INT, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INT, ab INT, r INT, h INT, double INT, triple INT, hr INT, rbi INT, sb INT, cs DECIMAL, bb INT, so INT, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE player_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes TEXT)
CREATE TABLE team_half (year INT, league_id TEXT, team_id TEXT, half INT, div_id TEXT, div_win TEXT, rank INT, g INT, w INT, l INT)
| Can you draw the trend of mean attendance over the year? and bin year into Year interval. | SELECT year, AVG(attendance) FROM home_game | SELECT "year", AVG("attendance") FROM "home_game" | 0.047852 |
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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
| Posts containing links to outdated or inferior documentation. | SELECT Id AS "post_link" FROM Posts WHERE PostTypeId IN (1, 2) AND OwnerUserId = '##UserId##' AND (Body LIKE '%http://javadude.com/articles/passbyvalue.htm%') ORDER BY CreationDate | SELECT "Id" AS "post_link" FROM "Posts" WHERE "Body" LIKE '%http://javadude.com/articles/passbyvalue.htm%' AND "OwnerUserId" = '##UserId##' AND "PostTypeId" IN (1, 2) ORDER BY "CreationDate" NULLS FIRST | 0.197266 |
CREATE TABLE table_74791 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the crowd size when there was a home team score of 10.13 (73)? | SELECT "Crowd" FROM table_74791 WHERE "Home team score" = '10.13 (73)' | SELECT "Crowd" FROM "table_74791" WHERE "Home team score" = '10.13 (73)' | 0.070313 |
CREATE TABLE table_44182 ("Season" TEXT, "Division" TEXT, "Wins" TEXT, "Ties" TEXT, "Final Position" TEXT)
| What is the final position for the season 2008? | SELECT "Final Position" FROM table_44182 WHERE "Season" = '2008' | SELECT "Final Position" FROM "table_44182" WHERE "Season" = '2008' | 0.064453 |
CREATE TABLE table_204_765 (id DECIMAL, "year" DECIMAL, "location" TEXT, "gold" TEXT, "silver" TEXT, "bronze" TEXT)
| desideria ampon won the bronze medal the same year as who else ? | SELECT "bronze" FROM table_204_765 WHERE "bronze" <> 'desideria ampon' AND "year" = (SELECT "year" FROM table_204_765 WHERE "bronze" = 'desideria ampon') | SELECT "bronze" FROM "table_204_765" WHERE "bronze" <> 'desideria ampon' AND "year" = (SELECT "year" FROM "table_204_765" WHERE "bronze" = 'desideria ampon') | 0.15332 |
CREATE TABLE table_204_741 (id DECIMAL, "rank" DECIMAL, "name" TEXT, "nationality" TEXT, "1 , 62" TEXT, "1 , 67" TEXT, "1 , 72" TEXT, "1 , 75" TEXT, "notes" TEXT)
| what name is just before thea lafond on the list ? | SELECT "name" FROM table_204_741 WHERE id = (SELECT id FROM table_204_741 WHERE "name" = 'thea lafond') - 1 | SELECT "name" FROM "table_204_741" WHERE "id" = (SELECT "id" FROM "table_204_741" WHERE "name" = 'thea lafond') - 1 | 0.112305 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about the average of price over the name , and group by attribute name by a bar chart, rank in descending by the y axis. | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Price DESC | SELECT "T2"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T1"."Price" DESC NULLS LAST | 0.176758 |
CREATE TABLE table_name_26 (team_classification VARCHAR, stage VARCHAR, points_classification VARCHAR, winner VARCHAR)
| What team classification has alejandro valverde as points classification, with alejandro valverde as the winner, with 3 as the stage? | SELECT team_classification FROM table_name_26 WHERE points_classification = "alejandro valverde" AND winner = "alejandro valverde" AND stage = "3" | SELECT "team_classification" FROM "table_name_26" WHERE "3" = "stage" AND "alejandro valverde" = "points_classification" AND "alejandro valverde" = "winner" | 0.152344 |
CREATE TABLE table_71595 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Votes" FLOAT, "Place" FLOAT)
| What is the draw number of the song with a place lower than 6 and more than 38 votes? | SELECT SUM("Draw") FROM table_71595 WHERE "Place" > '6' AND "Votes" > '38' | SELECT SUM("Draw") FROM "table_71595" WHERE "Place" > '6' AND "Votes" > '38' | 0.074219 |
CREATE TABLE table_name_80 (score VARCHAR, tournament VARCHAR, opponent_in_the_final VARCHAR)
| WHAT WAS THE SCORE IN THE FINAL PLAYED AGAINST JOSE CHECA-CALVO IN THE SANT CUGAT TOURNAMENT ? | SELECT score FROM table_name_80 WHERE tournament = "sant cugat" AND opponent_in_the_final = "jose checa-calvo" | SELECT "score" FROM "table_name_80" WHERE "jose checa-calvo" = "opponent_in_the_final" AND "sant cugat" = "tournament" | 0.115234 |
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)
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)
| Find the number of patients who stayed in hospital for more than 15 days and have an imdu30 drug code. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "15" AND prescriptions.formulary_drug_cd = "IMDU30" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IMDU30" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "15" < "demographic"."days_stay" | 0.228516 |
CREATE TABLE table_74050 ("English" TEXT, "Proto-Semitic" TEXT, "Akkadian" TEXT, "Arabic" TEXT, "Aramaic" TEXT, "Hebrew" TEXT, "Geez" TEXT, "Mehri" TEXT)
| If the proto-semitic is *bayt-, what are the geez? | SELECT "Geez" FROM table_74050 WHERE "Proto-Semitic" = '*bayt-' | SELECT "Geez" FROM "table_74050" WHERE "Proto-Semitic" = '*bayt-' | 0.063477 |
CREATE TABLE table_15416002_1 (r_miles_ VARCHAR, chi VARCHAR)
| What are the miles when the Carvill Hurricane Index (CHI) is equal to 9.9? | SELECT r_miles_ FROM table_15416002_1 WHERE chi = "9.9" | SELECT "r_miles_" FROM "table_15416002_1" WHERE "9.9" = "chi" | 0.05957 |
CREATE TABLE table_20740 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the maximum crowd size against St Kilda? | SELECT MAX("Crowd") FROM table_20740 WHERE "Away team" = 'St Kilda' | SELECT MAX("Crowd") FROM "table_20740" WHERE "Away team" = 'St Kilda' | 0.067383 |
CREATE TABLE table_name_33 (away_team VARCHAR, home_team VARCHAR)
| What away team played when the home team was south melbourne? | SELECT away_team FROM table_name_33 WHERE home_team = "south melbourne" | SELECT "away_team" FROM "table_name_33" WHERE "home_team" = "south melbourne" | 0.075195 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of manager_id over the job_id , and group by attribute job_id by a bar chart, and list y-axis in descending order. | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(MANAGER_ID) DESC | SELECT "JOB_ID", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY SUM("MANAGER_ID") DESC NULLS LAST | 0.165039 |
CREATE TABLE table_name_24 (distance VARCHAR, race VARCHAR)
| What is the distance of the Sam's town 250 race? | SELECT distance FROM table_name_24 WHERE race = "sam's town 250" | SELECT "distance" FROM "table_name_24" WHERE "race" = "sam's town 250" | 0.068359 |
CREATE TABLE table_name_28 (gold INT, silver VARCHAR, bronze VARCHAR)
| What is the sum for gold when there is more than 17 silver and more than 24 bronze? | SELECT SUM(gold) FROM table_name_28 WHERE silver > 17 AND bronze > 24 | SELECT SUM("gold") FROM "table_name_28" WHERE "bronze" > 24 AND "silver" > 17 | 0.075195 |
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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| how many days has passed since patient 76332 had a pt laboratory test for the first time on their current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', labevents.charttime)) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'pt') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76332 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'pt' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 76332 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "labevents"."charttime")) FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" NULLS FIRST LIMIT 1 | 0.594727 |
CREATE TABLE table_name_79 (film_title_used_in_nomination VARCHAR, language_s_ VARCHAR, original_title VARCHAR)
| What was the title used for Rosie, the film nominated for the dutch language? | SELECT film_title_used_in_nomination FROM table_name_79 WHERE language_s_ = "dutch" AND original_title = "rosie" | SELECT "film_title_used_in_nomination" FROM "table_name_79" WHERE "dutch" = "language_s_" AND "original_title" = "rosie" | 0.117188 |
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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE 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 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 area (course_id INT, area 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 instructor (instructor_id INT, name VARCHAR, uniqname 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 (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| Does Political Sociology have only one teacher , Prof. Men ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Political Sociology%' AND NOT instructor.name LIKE '%Men%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "instructor"."name" 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 '%Men%' WHERE "course"."name" LIKE '%Political Sociology%' | 0.458008 |
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)
| A scatter chart shows the correlation between Team_ID and School_ID , and group by attribute All_Road. | SELECT Team_ID, School_ID FROM basketball_match GROUP BY All_Road | SELECT "Team_ID", "School_ID" FROM "basketball_match" GROUP BY "All_Road" | 0.071289 |
CREATE TABLE table_name_41 (player VARCHAR, position VARCHAR, caps VARCHAR)
| Which player has a Position of fly-half, and a Caps of 3? | SELECT player FROM table_name_41 WHERE position = "fly-half" AND caps = 3 | SELECT "player" FROM "table_name_41" WHERE "caps" = 3 AND "fly-half" = "position" | 0.079102 |
CREATE TABLE table_31182 ("#" FLOAT, "Title" TEXT, "Author" TEXT, "Doctor" TEXT, "Featuring" TEXT, "Read by" TEXT, "Published" TEXT, "ISBN" TEXT)
| The Empty House audiobook has what #? | SELECT "#" FROM table_31182 WHERE "Title" = 'The Empty House' | SELECT "#" FROM "table_31182" WHERE "Title" = 'The Empty House' | 0.061523 |
CREATE TABLE table_21373283_3 (winning_team VARCHAR, pole_position VARCHAR, circuit VARCHAR)
| What is the winning team at Oulton Park when Max Chilton held the pole position? | SELECT winning_team FROM table_21373283_3 WHERE pole_position = "Max Chilton" AND circuit = "Oulton Park" | SELECT "winning_team" FROM "table_21373283_3" WHERE "Max Chilton" = "pole_position" AND "Oulton Park" = "circuit" | 0.110352 |
CREATE TABLE table_204_311 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| which nations had a gold medal but no silver medals ? | SELECT "nation" FROM table_204_311 WHERE "gold" = 1 AND "silver" = 0 | SELECT "nation" FROM "table_204_311" WHERE "gold" = 1 AND "silver" = 0 | 0.068359 |
CREATE TABLE table_79768 ("Call sign" TEXT, "Frequency MHz" FLOAT, "City of license" TEXT, "ERP W" TEXT, "Class" TEXT, "FCC info" TEXT)
| Name the call sign with frequency of 89.5 | SELECT "Call sign" FROM table_79768 WHERE "Frequency MHz" = '89.5' | SELECT "Call sign" FROM "table_79768" WHERE "Frequency MHz" = '89.5' | 0.066406 |
CREATE TABLE table_23449363_1 (round VARCHAR, clubs_involved VARCHAR)
| Which rounds had 32 clubs involved? | SELECT round FROM table_23449363_1 WHERE clubs_involved = 32 | SELECT "round" FROM "table_23449363_1" WHERE "clubs_involved" = 32 | 0.064453 |
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