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CREATE TABLE table_64819 ("Ref#" FLOAT, "Name" CLOB, "Built" FLOAT, "Location" CLOB, "Construction" CLOB)
| What is the location of the mill with a reference number of 44? | SELECT "Location" FROM table_64819 WHERE "Ref#" = '44' | SELECT "Location" FROM "table_64819" WHERE "Ref#" = '44' | 0.054688 |
CREATE TABLE table_17419 ("Year" CLOB, "Communications and Corporate Affairs" CLOB, "Human Resources & Operations" CLOB, "Local Affairs" CLOB, "Academic & University Affairs" CLOB, "External Affairs" CLOB)
| Who is the academic & University affairs when the Human resources & operations is N. Charles Hamilton? | SELECT "Academic & University Affairs" FROM table_17419 WHERE "Human Resources & Operations" = 'N. Charles Hamilton' | SELECT "Academic & University Affairs" FROM "table_17419" WHERE "Human Resources & Operations" = 'N. Charles Hamilton' | 0.115234 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose diagnoses short title is cardiac dysrhythmias nec and drug route is ih? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Cardiac dysrhythmias NEC" AND prescriptions.route = "IH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cardiac dysrhythmias NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IH" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_68319 ("Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| with silver count at 0, what is the lowest bronze count? | SELECT MIN("Bronze") FROM table_68319 WHERE "Silver" < '0' | SELECT MIN("Bronze") FROM "table_68319" WHERE "Silver" < '0' | 0.058594 |
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
| What are the purchase details of transactions with amount bigger than 10000, and count them by a bar chart | SELECT purchase_details, COUNT(purchase_details) FROM Purchases AS T1 JOIN Transactions AS T2 ON T1.purchase_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction > 10000 GROUP BY purchase_details | SELECT "purchase_details", COUNT("purchase_details") FROM "Purchases" "T1" JOIN "Transactions" "T2" ON "T1"."purchase_transaction_id" = "T2"."transaction_id" AND "T2"."amount_of_transaction" > 10000 GROUP BY "purchase_details" | 0.220703 |
CREATE TABLE table_50602 ("Oklahoma vs." CLOB, "Overall Record" CLOB, "at Norman" CLOB, "at Opponent's Venue" CLOB, "at Neutral Site" CLOB, "Last 5 Meetings" CLOB, "Last 10 Meetings" CLOB, "Current Streak" CLOB, "Since Beginning of Big 12" CLOB)
| What is Oklahoma vs. when Current Streak is l 1, and Neutral Site is osu, 7-6? | SELECT "Oklahoma vs." FROM table_50602 WHERE "Current Streak" = 'l 1' AND "at Neutral Site" = 'osu, 7-6' | SELECT "Oklahoma vs." FROM "table_50602" WHERE "Current Streak" = 'l 1' AND "at Neutral Site" = 'osu, 7-6' | 0.103516 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| How many patients are diagnosed with diarrhoea and treated with the drug route ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Diarrhea" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Diarrhea" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.286133 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Questions per day in a given month/year. | SELECT TIME_TO_STR(CreationDate, '%d'), COUNT(Id) FROM Posts WHERE PostTypeId = 1 AND TIME_TO_STR(CreationDate, '%Y') = '##Year:int##' AND CommunityOwnedDate IS NULL GROUP BY TIME_TO_STR(CreationDate, '%d') ORDER BY TIME_TO_STR(CreationDate, '%d') | SELECT TO_CHAR("CreationDate", 'DD'), COUNT("Id") FROM "Posts" WHERE "CommunityOwnedDate" IS NULL AND "PostTypeId" = 1 AND TO_CHAR("CreationDate", 'YYYY') = '##Year:int##' GROUP BY TO_CHAR("CreationDate", 'DD') ORDER BY TO_CHAR("CreationDate", 'DD') | 0.243164 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what is the cost for alkaline phos. lab testing? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'alkaline phos.') | WITH "_u_0" AS (SELECT "lab"."labid" FROM "lab" WHERE "lab"."labname" = 'alkaline phos.' GROUP BY "labid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'lab' AND NOT "_u_0"."" IS NULL | 0.256836 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| when did patient 015-12508 come for the first time to the hospital? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '015-12508' ORDER BY patient.hospitaladmittime LIMIT 1 | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '015-12508' ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY | 0.152344 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what were the five most commonly prescribed drugs at the same time in this year for patients who were prescribed famotidine (pf) 20 mg/2 ml iv soln? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'famotidine (pf) 20 mg/2 ml iv soln' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'famotidine (pf) 20 mg/2 ml iv soln' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.884766 |
CREATE TABLE table_23580 ("Title" CLOB, "Author" CLOB, "Reader" CLOB, "Format" CLOB, "Company" CLOB, "Release Date" CLOB, "Notes" CLOB)
| how many companies released an audiobook titled deadly download | SELECT COUNT("Company") FROM table_23580 WHERE "Title" = 'Deadly Download' | SELECT COUNT("Company") FROM "table_23580" WHERE "Title" = 'Deadly Download' | 0.074219 |
CREATE TABLE table_1108394_34 (the_bronx VARCHAR2, total VARCHAR2)
| What number of voters did the Bronx have when the total number was 2054? | SELECT the_bronx FROM table_1108394_34 WHERE total = 2054 | SELECT "the_bronx" FROM "table_1108394_34" WHERE "total" = 2054 | 0.061523 |
CREATE TABLE table_name_2 (silver VARCHAR2, rank VARCHAR2)
| How many Silvers that have a Rank of 2? | SELECT COUNT(silver) FROM table_name_2 WHERE rank = "2" | SELECT COUNT("silver") FROM "table_name_2" WHERE "2" = "rank" | 0.05957 |
CREATE TABLE table_name_91 (athlete VARCHAR2, run_1 VARCHAR2, run_2 VARCHAR2)
| Who is the athlete with a run 1 larger than 54.95 and a 56.19 run 2? | SELECT athlete FROM table_name_91 WHERE run_1 > 54.95 AND run_2 = 56.19 | SELECT "athlete" FROM "table_name_91" WHERE "run_1" > 54.95 AND "run_2" = 56.19 | 0.077148 |
CREATE TABLE table_name_21 (attendance NUMBER, date VARCHAR2, week VARCHAR2)
| Name the most attendance for november 17, 1946 and week more than 8 | SELECT MAX(attendance) FROM table_name_21 WHERE date = "november 17, 1946" AND week > 8 | SELECT MAX("attendance") FROM "table_name_21" WHERE "date" = "november 17, 1946" AND "week" > 8 | 0.092773 |
CREATE TABLE table_60891 ("Team" CLOB, "Club home city" CLOB, "2006\\u201307 Season" CLOB, "Stadium" CLOB, "Stadium capacity" CLOB)
| What is Stadium, when Stadium Capacity is '10,000', and when Team is 'KF Drita'? | SELECT "Stadium" FROM table_60891 WHERE "Stadium capacity" = '10,000' AND "Team" = 'kf drita' | SELECT "Stadium" FROM "table_60891" WHERE "Stadium capacity" = '10,000' AND "Team" = 'kf drita' | 0.092773 |
CREATE TABLE table_66889 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average silver for a rank less than 8, were there were no more than 4 bronze and 12 in total? | SELECT AVG("Silver") FROM table_66889 WHERE "Rank" < '8' AND "Total" = '12' AND "Bronze" < '4' | SELECT AVG("Silver") FROM "table_66889" WHERE "Bronze" < '4' AND "Rank" < '8' AND "Total" = '12' | 0.09375 |
CREATE TABLE table_77240 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What championship after 1997 was the score 1 6, 4 6, 7 5, 5 7? | SELECT "Championship" FROM table_77240 WHERE "Year" > '1997' AND "Score" = '1–6, 4–6, 7–5, 5–7' | SELECT "Championship" FROM "table_77240" WHERE "Score" = '1–6, 4–6, 7–5, 5–7' AND "Year" > '1997' | 0.094727 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose primary disease is hypoxia and age is less than 58? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.age < "58" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "58" > "demographic"."age" AND "HYPOXIA" = "demographic"."diagnosis" | 0.139648 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
| Questions tagged with iOS development related tags. | SELECT TagName, COUNT(*) AS frequency FROM Posts JOIN PostTags AS pt ON pt.PostId = Posts.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE UPPER(TagName) LIKE '%LDAP%' OR UPPER(TagName) LIKE '%UNBOUNDID%' GROUP BY TagName ORDER BY frequency DESC | SELECT "TagName", COUNT(*) AS "frequency" FROM "Posts" JOIN "PostTags" "pt" ON "Posts"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" WHERE UPPER("TagName") LIKE '%LDAP%' OR UPPER("TagName") LIKE '%UNBOUNDID%' GROUP BY "TagName" ORDER BY "frequency" DESC | 0.264648 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of price , and group by attribute headquarter, and display by the bars in ascending. | SELECT Headquarter, SUM(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY Headquarter | SELECT "Headquarter", SUM("Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY "Headquarter" | 0.160156 |
CREATE TABLE table_20745754_1 (at_vs VARCHAR2, _number VARCHAR2)
| What was the game #7, at or versus (home or at)? | SELECT at_vs FROM table_20745754_1 WHERE _number = "7" | SELECT "at_vs" FROM "table_20745754_1" WHERE "7" = "_number" | 0.058594 |
CREATE TABLE table_203_694 (id NUMBER, "#" NUMBER, "name" CLOB, "took office" CLOB, "left office" CLOB, "party" CLOB)
| how many times has dervi ş ero ğ lu been in office ? | SELECT COUNT(*) FROM table_203_694 WHERE "name" = 'dervis eroglu' | SELECT COUNT(*) FROM "table_203_694" WHERE "name" = 'dervis eroglu' | 0.06543 |
CREATE TABLE table_22046 ("Team" CLOB, "Average" CLOB, "Points" FLOAT, "Played" FLOAT, "1988-89" CLOB, "1989-90" CLOB, "1990-1991" FLOAT)
| How many games were played by the V lez S rsfield team from 1989-90? | SELECT "1989-90" FROM table_22046 WHERE "Team" = 'Vélez Sársfield' | SELECT "1989-90" FROM "table_22046" WHERE "Team" = 'Vélez Sársfield' | 0.066406 |
CREATE TABLE Ref_calendar (Id VARCHAR2)
| How many calendar items do we have? | SELECT COUNT(*) FROM Ref_calendar | SELECT COUNT(*) FROM "Ref_calendar" | 0.03418 |
CREATE TABLE table_name_38 (year__ceremony_ VARCHAR2, language_s_ VARCHAR2, original_title VARCHAR2)
| WHAT IS THE YEAR WITH DARI, AND TITLE osama ( )? | SELECT year__ceremony_ FROM table_name_38 WHERE language_s_ = "dari" AND original_title = "osama (أسامة)" | SELECT "year__ceremony_" FROM "table_name_38" WHERE "dari" = "language_s_" AND "original_title" = "osama (أسامة)" | 0.110352 |
CREATE TABLE table_25352318_1 (team VARCHAR2, races VARCHAR2, position VARCHAR2)
| When 7th is the position and 15 is the race who is the team? | SELECT team FROM table_25352318_1 WHERE races = 15 AND position = "7th" | SELECT "team" FROM "table_25352318_1" WHERE "7th" = "position" AND "races" = 15 | 0.077148 |
CREATE TABLE genre (g_name CLOB, rating CLOB, most_popular_in CLOB)
CREATE TABLE files (f_id NUMBER, artist_name CLOB, file_size CLOB, duration CLOB, formats CLOB)
CREATE TABLE artist (artist_name CLOB, country CLOB, gender CLOB, preferred_genre CLOB)
CREATE TABLE song (song_name CLOB, artist_name CLOB, country CLOB, f_id NUMBER, genre_is CLOB, rating NUMBER, languages CLOB, releasedate TIME, resolution NUMBER)
| Find the top 3 artists who have the largest number of songs works whose language is Bangla. | SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "bangla" GROUP BY T2.artist_name ORDER BY COUNT(*) DESC LIMIT 3 | SELECT "T1"."artist_name" FROM "artist" "T1" JOIN "song" "T2" ON "T1"."artist_name" = "T2"."artist_name" AND "T2"."languages" = "bangla" GROUP BY "T2"."artist_name" ORDER BY COUNT(*) DESC FETCH FIRST 3 ROWS ONLY | 0.206055 |
CREATE TABLE table_61465 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Lyrics ( l ) / Music ( m ) " CLOB, "Results" CLOB)
| What is the Lyrics (l) / Music (m) when the draw was more than 3, and the results were Siste Sjansen, and song shows'shuffled'? | SELECT "Lyrics (l) / Music (m)" FROM table_61465 WHERE "Draw" > '3' AND "Results" = 'siste sjansen' AND "Song" = 'shuffled' | SELECT "Lyrics (l) / Music (m)" FROM "table_61465" WHERE "Draw" > '3' AND "Results" = 'siste sjansen' AND "Song" = 'shuffled' | 0.12207 |
CREATE TABLE table_73840 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| Who directed the episode with production code ca311? | SELECT "Directed by" FROM table_73840 WHERE "Production code" = 'CA311' | SELECT "Directed by" FROM "table_73840" WHERE "Production code" = 'CA311' | 0.071289 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| What is easiest EECS 530 or EECS 413 ? | SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 530 OR course.number = 413) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE (COURSEalias1.number = 530 OR COURSEalias1.number = 413) AND COURSEalias1.department = 'EECS') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" JOIN "course" "COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'EECS' AND ("COURSEalias1"."number" = 413 OR "COURSEalias1"."number" = 530)) SELECT DISTINCT "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" WHERE "course"."number" = 413 OR "course"."number" = 530 | 0.543945 |
CREATE TABLE table_23057 ("Series #" FLOAT, "Episode #" FLOAT, "Title" CLOB, "Written by" CLOB, "Directed by" CLOB, "Viewers" FLOAT, "Original airdate" CLOB)
| What is the series number for the episode written by Kristen Dunphy and David Ogilvy? | SELECT MAX("Series #") FROM table_23057 WHERE "Written by" = 'Kristen Dunphy and David Ogilvy' | SELECT MAX("Series #") FROM "table_23057" WHERE "Written by" = 'Kristen Dunphy and David Ogilvy' | 0.09375 |
CREATE TABLE party (Party_ID NUMBER, Party_Theme CLOB, Location CLOB, First_year CLOB, Last_year CLOB, Number_of_hosts NUMBER)
CREATE TABLE party_host (Party_ID NUMBER, Host_ID NUMBER, Is_Main_in_Charge BOOLEAN)
CREATE TABLE host (Host_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB)
| Show the total number of the first year of parties with the theme 'Spring' or 'Teqnology' with a bar chart, bin the first year into weekday interval and count the first year, rank by the Y in descending please. | SELECT First_year, COUNT(First_year) FROM party WHERE Party_Theme = "Spring" OR Party_Theme = "Teqnology" ORDER BY COUNT(First_year) DESC | SELECT "First_year", COUNT("First_year") FROM "party" WHERE "Party_Theme" = "Spring" OR "Party_Theme" = "Teqnology" ORDER BY COUNT("First_year") DESC | 0.145508 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Query 1- Viewcount between 1 lac and 5 lac. | SELECT COUNT(*) FROM Posts WHERE Posts.ViewCount > 100000 AND Posts.ViewCount < 500000 | SELECT COUNT(*) FROM "Posts" WHERE "Posts"."ViewCount" < 500000 AND "Posts"."ViewCount" > 100000 | 0.09375 |
CREATE TABLE allergy_type (allergy CLOB, allergytype CLOB)
CREATE TABLE has_allergy (stuid NUMBER, allergy CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| How many different allergy types exist? | SELECT COUNT(DISTINCT allergytype) FROM allergy_type | SELECT COUNT(DISTINCT "allergytype") FROM "allergy_type" | 0.054688 |
CREATE TABLE table_60727 ("County" CLOB, "Per capita income" CLOB, "Median household income" CLOB, "Median family income" CLOB, "Population" FLOAT, "Number of households" FLOAT)
| What is the highest Number of Households, when Per Capita Income is '$25,557', and when Population is less than '22,330'? | SELECT MAX("Number of households") FROM table_60727 WHERE "Per capita income" = '$25,557' AND "Population" < '22,330' | SELECT MAX("Number of households") FROM "table_60727" WHERE "Per capita income" = '$25,557' AND "Population" < '22,330' | 0.116211 |
CREATE TABLE trained_in (physician NUMBER, treatment NUMBER, certificationdate TIME, certificationexpires TIME)
CREATE TABLE department (departmentid NUMBER, name CLOB, head NUMBER)
CREATE TABLE medication (code NUMBER, name CLOB, brand CLOB, description CLOB)
CREATE TABLE undergoes (patient NUMBER, procedures NUMBER, stay NUMBER, dateundergoes TIME, physician NUMBER, assistingnurse NUMBER)
CREATE TABLE patient (ssn NUMBER, name CLOB, address CLOB, phone CLOB, insuranceid NUMBER, pcp NUMBER)
CREATE TABLE block (blockfloor NUMBER, blockcode NUMBER)
CREATE TABLE appointment (appointmentid NUMBER, patient NUMBER, prepnurse NUMBER, physician NUMBER, start TIME, end TIME, examinationroom CLOB)
CREATE TABLE nurse (employeeid NUMBER, name CLOB, position CLOB, registered BOOLEAN, ssn NUMBER)
CREATE TABLE room (roomnumber NUMBER, roomtype CLOB, blockfloor NUMBER, blockcode NUMBER, unavailable BOOLEAN)
CREATE TABLE on_call (nurse NUMBER, blockfloor NUMBER, blockcode NUMBER, oncallstart TIME, oncallend TIME)
CREATE TABLE affiliated_with (physician NUMBER, department NUMBER, primaryaffiliation BOOLEAN)
CREATE TABLE prescribes (physician NUMBER, patient NUMBER, medication NUMBER, date TIME, appointment NUMBER, dose CLOB)
CREATE TABLE procedures (code NUMBER, name CLOB, cost NUMBER)
CREATE TABLE stay (stayid NUMBER, patient NUMBER, room NUMBER, staystart TIME, stayend TIME)
CREATE TABLE physician (employeeid NUMBER, name CLOB, position CLOB, ssn NUMBER)
| Find the patient who most recently stayed in room 111. | SELECT patient FROM stay WHERE room = 111 ORDER BY staystart DESC LIMIT 1 | SELECT "patient" FROM "stay" WHERE "room" = 111 ORDER BY "staystart" DESC FETCH FIRST 1 ROWS ONLY | 0.094727 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose insurance is government and procedure long title is biopsy of tonsils and adenoids? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Biopsy of tonsils and adenoids" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Biopsy of tonsils and adenoids" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.244141 |
CREATE TABLE table_9289 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Record" CLOB)
| What date was the game played at the Delta Center? | SELECT "Date" FROM table_9289 WHERE "Location" = 'delta center' | SELECT "Date" FROM "table_9289" WHERE "Location" = 'delta center' | 0.063477 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many male patients had the drug code tria.1/80c? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.formulary_drug_cd = "TRIA.1/80C" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TRIA.1/80C" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "M" = "demographic"."gender" | 0.228516 |
CREATE TABLE table_50085 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Record" CLOB, "Streak" CLOB)
| What was the record following game 67? | SELECT "Record" FROM table_50085 WHERE "Game" = '67' | SELECT "Record" FROM "table_50085" WHERE "Game" = '67' | 0.052734 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| low-rep users with many badges. | SELECT u.Id AS "user_link", MIN(Reputation) AS rep, MIN(Views) AS userviews, COUNT(*) AS badgecount FROM Users AS u INNER JOIN Badges AS b ON u.Id = b.UserId WHERE Reputation <= '##maxrep:int?500##' AND Reputation > 1 GROUP BY u.Id ORDER BY badgecount DESC LIMIT 200 | SELECT "u"."Id" AS "user_link", MIN("Reputation") AS "rep", MIN("Views") AS "userviews", COUNT(*) AS "badgecount" FROM "Users" "u" JOIN "Badges" "b" ON "b"."UserId" = "u"."Id" WHERE "Reputation" <= '##maxrep:int?500##' AND "Reputation" > 1 GROUP BY "u"."Id" ORDER BY "badgecount" DESC FETCH FIRST 200 ROWS ONLY | 0.302734 |
CREATE TABLE table_6476 ("Pick #" FLOAT, "NFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What was Rich Voltzke's highest pick number? | SELECT MAX("Pick #") FROM table_6476 WHERE "Player" = 'rich voltzke' | SELECT MAX("Pick #") FROM "table_6476" WHERE "Player" = 'rich voltzke' | 0.068359 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how many times was the colonoscopy procedure performed in 2105? | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'colonoscopy') AND STRFTIME('%y', procedures_icd.charttime) = '2105' | SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'colonoscopy' WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2105' | 0.233398 |
CREATE TABLE table_50463 ("Series" CLOB, "Start" CLOB, "Finish" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Third place" CLOB, "Winning mentor" CLOB, "Main host" CLOB)
| What is the start date with Luke Jacobz hosting and Dannii Minogue as a winning mentor? | SELECT "Start" FROM table_50463 WHERE "Main host" = 'luke jacobz' AND "Winning mentor" = 'dannii minogue' | SELECT "Start" FROM "table_50463" WHERE "Main host" = 'luke jacobz' AND "Winning mentor" = 'dannii minogue' | 0.104492 |
CREATE TABLE table_name_39 (round NUMBER, overall VARCHAR2, pick__number VARCHAR2)
| What is the lowest Round with Overall of 247 and pick less than 41? | SELECT MIN(round) FROM table_name_39 WHERE overall = 247 AND pick__number < 41 | SELECT MIN("round") FROM "table_name_39" WHERE "overall" = 247 AND "pick__number" < 41 | 0.083984 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| is there any sputum microbiology test history for patient 73530 since 01/2100? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73530) AND microbiologyevents.spec_type_desc = 'sputum' AND STRFTIME('%y-%m', microbiologyevents.charttime) >= '2100-01' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73530 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'sputum' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "microbiologyevents"."charttime") >= '2100-01' | 0.379883 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| find the number of patients with diagnoses icd9 code 34830 who had ascitic fluid lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "34830" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "34830" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.253906 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what is the difference in mchc value in patient 005-87465 second measured on the current hospital visit compared to the first value measured on the current hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'mchc' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'mchc' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '005-87465' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mchc' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY) | 1.027344 |
CREATE TABLE table_name_63 (name VARCHAR2, west_or_south_terminus VARCHAR2)
| what is the name when the west or south terminus is ne 112 west of blue springs? | SELECT name FROM table_name_63 WHERE west_or_south_terminus = "ne 112 west of blue springs" | SELECT "name" FROM "table_name_63" WHERE "ne 112 west of blue springs" = "west_or_south_terminus" | 0.094727 |
CREATE TABLE table_14962316_9 (recopa_sudamericana_1998 VARCHAR2, team VARCHAR2)
| Did Flamengo play in the Recopa Sudamericana in 1998 | SELECT recopa_sudamericana_1998 FROM table_14962316_9 WHERE team = "Flamengo" | SELECT "recopa_sudamericana_1998" FROM "table_14962316_9" WHERE "Flamengo" = "team" | 0.081055 |
CREATE TABLE table_46527 ("car model" CLOB, "displacement & configuration" CLOB, "max. motive power @ rpm" CLOB, "max. torque @ rpm" CLOB, "max. speed" CLOB, "emissions CO2" CLOB)
| What is the displacement and configuration with a max speed of km/h (mph) and the car model Panamera 4s? | SELECT "displacement & configuration" FROM table_46527 WHERE "max. speed" = 'km/h (mph)' AND "car model" = 'panamera 4s' | SELECT "displacement & configuration" FROM "table_46527" WHERE "car model" = 'panamera 4s' AND "max. speed" = 'km/h (mph)' | 0.119141 |
CREATE TABLE table_name_91 (poles VARCHAR2, season VARCHAR2)
| What are the Poles for Season 2006 | SELECT poles FROM table_name_91 WHERE season = 2006 | SELECT "poles" FROM "table_name_91" WHERE "season" = 2006 | 0.055664 |
CREATE TABLE injury_accident (game_id NUMBER, id NUMBER, Player CLOB, Injury CLOB, Number_of_matches CLOB, Source CLOB)
CREATE TABLE stadium (id NUMBER, name CLOB, Home_Games NUMBER, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE game (stadium_id NUMBER, id NUMBER, Season NUMBER, Date CLOB, Home_team CLOB, Away_team CLOB, Score CLOB, Competition CLOB)
| Give me line charts of worldwide gross the number of season over year season by major genres Away_team, I want to display X in descending order please. | SELECT Season, COUNT(Season) FROM game GROUP BY Away_team, Season ORDER BY Season DESC | SELECT "Season", COUNT("Season") FROM "game" GROUP BY "Away_team", "Season" ORDER BY "Season" DESC | 0.095703 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Give me a bar chart for total number of school id of each all home, order sum school id from low to high order. | SELECT All_Home, SUM(School_ID) FROM basketball_match GROUP BY All_Home ORDER BY SUM(School_ID) | SELECT "All_Home", SUM("School_ID") FROM "basketball_match" GROUP BY "All_Home" ORDER BY SUM("School_ID") | 0.102539 |
CREATE TABLE table_32790 ("Year" FLOAT, "Player" CLOB, "Country" CLOB, "Team" CLOB, "Position" CLOB)
| What country did mario lemieux play for in 1994? | SELECT "Country" FROM table_32790 WHERE "Player" = 'mario lemieux' AND "Year" = '1994' | SELECT "Country" FROM "table_32790" WHERE "Player" = 'mario lemieux' AND "Year" = '1994' | 0.085938 |
CREATE TABLE table_5638 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| What league is from the United States and a round smaller than 12. | SELECT "College/Junior/Club Team (League)" FROM table_5638 WHERE "Nationality" = 'united states' AND "Round" < '12' | SELECT "College/Junior/Club Team (League)" FROM "table_5638" WHERE "Nationality" = 'united states' AND "Round" < '12' | 0.114258 |
CREATE TABLE browser (id NUMBER, name CLOB, market_share NUMBER)
CREATE TABLE accelerator_compatible_browser (accelerator_id NUMBER, browser_id NUMBER, compatible_since_year NUMBER)
CREATE TABLE web_client_accelerator (id NUMBER, name CLOB, operating_system CLOB, client CLOB, connection CLOB)
| How many accelerators are not compatible with the browsers listed ? | SELECT COUNT(*) FROM web_client_accelerator WHERE NOT id IN (SELECT accelerator_id FROM accelerator_compatible_browser) | SELECT COUNT(*) FROM "web_client_accelerator" WHERE NOT "id" IN (SELECT "accelerator_id" FROM "accelerator_compatible_browser") | 0.124023 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was the organism that was discovered in the last sputum microbiology test of patient 12775 this month? | SELECT microbiologyevents.org_name FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12775) AND microbiologyevents.spec_type_desc = 'sputum' AND NOT microbiologyevents.org_name IS NULL AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12775 GROUP BY "hadm_id") SELECT "microbiologyevents"."org_name" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'sputum' AND DATETIME("microbiologyevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "microbiologyevents"."org_name" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.566406 |
CREATE TABLE table_name_42 (player VARCHAR2, average VARCHAR2, goals VARCHAR2, caps VARCHAR2)
| Who scored more than 8 goals, had more than 75 caps, and averaged 0.432? | SELECT player FROM table_name_42 WHERE goals > 8 AND caps > 75 AND average = 0.432 | SELECT "player" FROM "table_name_42" WHERE "average" = 0.432 AND "caps" > 75 AND "goals" > 8 | 0.089844 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| tell me the total amount of patient 021-213732's output on last month/10. | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-213732')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '10' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-213732' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '10' | 0.735352 |
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| People with Jesus in their about me section. Yeah, what the name says | SELECT Id AS "user_link", Location, Reputation FROM Users WHERE AboutMe LIKE '%jesus%' OR AboutMe LIKE '%Jesus%' ORDER BY Reputation DESC | SELECT "Id" AS "user_link", "Location", "Reputation" FROM "Users" WHERE "AboutMe" LIKE '%Jesus%' OR "AboutMe" LIKE '%jesus%' ORDER BY "Reputation" DESC | 0.147461 |
CREATE TABLE bank (branch_ID NUMBER, bname VARCHAR2, no_of_customers NUMBER, city VARCHAR2, state VARCHAR2)
CREATE TABLE customer (cust_ID VARCHAR2, cust_name VARCHAR2, acc_type CHAR, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_ID NUMBER, state VARCHAR2)
CREATE TABLE loan (loan_ID VARCHAR2, loan_type VARCHAR2, cust_ID VARCHAR2, branch_ID VARCHAR2, amount NUMBER)
| Find the name and credit score of the customers who have some loans, I want to order X in asc order please. | SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID ORDER BY cust_name | SELECT "cust_name", "credit_score" FROM "customer" "T1" JOIN "loan" "T2" ON "T1"."cust_ID" = "T2"."cust_ID" ORDER BY "cust_name" | 0.125 |
CREATE TABLE table_21408 ("Year" FLOAT, "Indians admitted" FLOAT, "Pakistanis admitted" FLOAT, "Sri Lankans admitted" FLOAT, "Bangladeshis admitted" FLOAT, "Nepalis admitted" FLOAT)
| What is the greatest number of Pakistanis admitted to Canada during those times when the number of Nepalis admitted was 627? | SELECT MAX("Pakistanis admitted") FROM table_21408 WHERE "Nepalis admitted" = '627' | SELECT MAX("Pakistanis admitted") FROM "table_21408" WHERE "Nepalis admitted" = '627' | 0.083008 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what are the specimen tests top three most frequently ordered until 2 years ago? | SELECT t1.culturesite FROM (SELECT microlab.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microlab WHERE DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY microlab.culturesite) AS t1 WHERE t1.c1 <= 3 | WITH "t1" AS (SELECT "microlab"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "microlab" WHERE DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "microlab"."culturesite") SELECT "t1"."culturesite" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.288086 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
| Return a bar chart on how many different professors are there for the different schools?, and sort x axis in desc order. | SELECT SCHOOL_CODE, COUNT(*) FROM DEPARTMENT AS T1 JOIN PROFESSOR AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.SCHOOL_CODE ORDER BY SCHOOL_CODE DESC | SELECT "SCHOOL_CODE", COUNT(*) FROM "DEPARTMENT" "T1" JOIN "PROFESSOR" "T2" ON "T1"."DEPT_CODE" = "T2"."DEPT_CODE" GROUP BY "T1"."SCHOOL_CODE" ORDER BY "SCHOOL_CODE" DESC | 0.166016 |
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Historical question grades by week. | SELECT COUNT(Id) FROM Users | SELECT COUNT("Id") FROM "Users" | 0.030273 |
CREATE TABLE table_name_56 (package_option VARCHAR2, television_service VARCHAR2, content VARCHAR2, hdtv VARCHAR2)
| What package/option has documentaries as the content, yes as the HDTV, and a television service of history hd? | SELECT package_option FROM table_name_56 WHERE content = "documentaries" AND hdtv = "yes" AND television_service = "history hd" | SELECT "package_option" FROM "table_name_56" WHERE "content" = "documentaries" AND "hdtv" = "yes" AND "history hd" = "television_service" | 0.133789 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose primary disease is aortic valve insuffiency\aortic valve replacement /sda and year of birth is less than 2049? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "AORTIC VALVE INSUFFIENCY\AORTIC VALVE REPLACEMENT /SDA" AND demographic.dob_year < "2049" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2049" > "demographic"."dob_year" AND "AORTIC VALVE INSUFFIENCY\AORTIC VALVE REPLACEMENT /SDA" = "demographic"."diagnosis" | 0.192383 |
CREATE TABLE table_18600760_10 (geo_id NUMBER, water__sqmi_ VARCHAR2)
| What is the geo ID for the township with 0.771 square miles of water? | SELECT MAX(geo_id) FROM table_18600760_10 WHERE water__sqmi_ = "0.771" | SELECT MAX("geo_id") FROM "table_18600760_10" WHERE "0.771" = "water__sqmi_" | 0.074219 |
CREATE TABLE table_name_47 (week_2 VARCHAR2, week_4 VARCHAR2)
| Who was the girl of the week 2 weeks before terri lynn farrow in the same month? | SELECT week_2 FROM table_name_47 WHERE week_4 = "terri lynn farrow" | SELECT "week_2" FROM "table_name_47" WHERE "terri lynn farrow" = "week_4" | 0.071289 |
CREATE TABLE table_name_37 (affiliation VARCHAR2, location VARCHAR2)
| What is the affiliation for towson, md? | SELECT affiliation FROM table_name_37 WHERE location = "towson, md" | SELECT "affiliation" FROM "table_name_37" WHERE "location" = "towson, md" | 0.071289 |
CREATE TABLE table_name_94 (place_of_birth VARCHAR2, elector VARCHAR2)
| What is the place of birth for the elector Laborante de Panormo? | SELECT place_of_birth FROM table_name_94 WHERE elector = "laborante de panormo" | SELECT "place_of_birth" FROM "table_name_94" WHERE "elector" = "laborante de panormo" | 0.083008 |
CREATE TABLE table_21216 ("Year ( Ceremony ) " CLOB, "Film title used in nomination" CLOB, "Original title" CLOB, "Director" CLOB, "Result" CLOB)
| Name the year for les portes tournantes | SELECT "Year (Ceremony)" FROM table_21216 WHERE "Original title" = 'Les portes tournantes' | SELECT "Year (Ceremony)" FROM "table_21216" WHERE "Original title" = 'Les portes tournantes' | 0.089844 |
CREATE TABLE table_47925 ("Title" CLOB, "Series" CLOB, "Release" FLOAT, "Featuring" CLOB, "Writer" CLOB, "Director" CLOB, "Length" CLOB, "Release Date" CLOB)
| Who wrote Infiltration? | SELECT "Writer" FROM table_47925 WHERE "Title" = 'infiltration' | SELECT "Writer" FROM "table_47925" WHERE "Title" = 'infiltration' | 0.063477 |
CREATE TABLE table_18071 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| what is the original air date for the episoe written by vanessa reisen? | SELECT "Original air date" FROM table_18071 WHERE "Written by" = 'Vanessa Reisen' | SELECT "Original air date" FROM "table_18071" WHERE "Written by" = 'Vanessa Reisen' | 0.081055 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and salary . | SELECT FIRST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "FIRST_NAME", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.165039 |
CREATE TABLE table_1708014_2 (position VARCHAR2, starts VARCHAR2)
| what is the posisiotn where the start is 3? | SELECT position FROM table_1708014_2 WHERE starts = 3 | SELECT "position" FROM "table_1708014_2" WHERE "starts" = 3 | 0.057617 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| what is the cheapest round trip COACH flight between DALLAS and BALTIMORE leaving 8 10 | SELECT DISTINCT FLIGHT_0.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, airport_service AS AIRPORT_SERVICE_3, city AS CITY_0, city AS CITY_1, city AS CITY_2, city AS CITY_3, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, date_day AS DATE_DAY_2, days AS DAYS_0, days AS DAYS_1, days AS DAYS_2, fare, fare_basis AS FARE_BASIS_0, fare_basis AS FARE_BASIS_1, flight AS FLIGHT_0, flight AS FLIGHT_1, flight_fare AS FLIGHT_FARE, flight_fare AS FLIGHT_FARE_1 WHERE (((((CITY_3.city_code = AIRPORT_SERVICE_3.city_code AND CITY_3.city_name = 'BALTIMORE' AND DATE_DAY_2.day_number = 10 AND DATE_DAY_2.month_number = 8 AND DATE_DAY_2.year = 1991 AND DAYS_2.day_name = DATE_DAY_2.day_name AND FLIGHT_1.flight_days = DAYS_2.days_code AND FLIGHT_1.to_airport = AIRPORT_SERVICE_3.airport_code) AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND DATE_DAY_1.day_number = 10 AND DATE_DAY_1.month_number = 8 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND FARE_BASIS_1.basis_days = DAYS_1.days_code AND fare.fare_basis_code = FARE_BASIS_1.fare_basis_code AND FLIGHT_FARE_1.fare_id = fare.fare_id AND FLIGHT_1.flight_id = FLIGHT_FARE_1.flight_id AND FLIGHT_1.from_airport = AIRPORT_SERVICE_2.airport_code) AND FARE_BASIS_0.class_type = 'COACH' AND fare.fare_basis_code = FARE_BASIS_0.fare_basis_code) AND DATE_DAY_0.day_number = 10 AND DATE_DAY_0.month_number = 8 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias4, city AS CITYalias5, date_day AS DATE_DAYalias3, date_day AS DATE_DAYalias4, days AS DAYSalias3, days AS DAYSalias4, fare AS FAREalias1, fare_basis AS FARE_BASISalias2, fare_basis AS FARE_BASISalias3, flight AS FLIGHTalias2, flight_fare AS FLIGHT_FAREalias2 WHERE ((CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'BALTIMORE' AND DATE_DAYalias4.day_number = 10 AND DATE_DAYalias4.month_number = 8 AND DATE_DAYalias4.year = 1991 AND DAYSalias4.day_name = DATE_DAYalias4.day_name AND FLIGHTalias2.flight_days = DAYSalias4.days_code AND FLIGHTalias2.to_airport = AIRPORT_SERVICEalias5.airport_code) AND CITYalias4.city_code = AIRPORT_SERVICEalias4.city_code AND CITYalias4.city_name = 'DALLAS' AND DATE_DAYalias3.day_number = 10 AND DATE_DAYalias3.month_number = 8 AND DATE_DAYalias3.year = 1991 AND DAYSalias3.day_name = DATE_DAYalias3.day_name AND FARE_BASISalias3.basis_days = DAYSalias3.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias3.fare_basis_code AND FLIGHT_FAREalias2.fare_id = FAREalias1.fare_id AND FLIGHTalias2.flight_id = FLIGHT_FAREalias2.flight_id AND FLIGHTalias2.from_airport = AIRPORT_SERVICEalias4.airport_code) AND FARE_BASISalias2.class_type = 'COACH' AND FAREalias1.fare_basis_code = FARE_BASISalias2.fare_basis_code) AND flight_fare.fare_id = fare.fare_id AND FLIGHT_0.flight_days = DAYS_0.days_code AND FLIGHT_0.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND FLIGHT_0.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_0.from_airport = AIRPORT_SERVICE_0.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" "AIRPORT_SERVICEalias4" JOIN "date_day" "DATE_DAYalias3" ON "DATE_DAYalias3"."day_number" = 10 AND "DATE_DAYalias3"."month_number" = 8 AND "DATE_DAYalias3"."year" = 1991 JOIN "date_day" "DATE_DAYalias4" ON "DATE_DAYalias4"."day_number" = 10 AND "DATE_DAYalias4"."month_number" = 8 AND "DATE_DAYalias4"."year" = 1991 JOIN "city" "CITYalias4" ON "AIRPORT_SERVICEalias4"."city_code" = "CITYalias4"."city_code" AND "CITYalias4"."city_name" = 'DALLAS' JOIN "days" "DAYSalias3" ON "DATE_DAYalias3"."day_name" = "DAYSalias3"."day_name" JOIN "days" "DAYSalias4" ON "DATE_DAYalias4"."day_name" = "DAYSalias4"."day_name" JOIN "fare_basis" "FARE_BASISalias3" ON "DAYSalias3"."days_code" = "FARE_BASISalias3"."basis_days" JOIN "flight" "FLIGHTalias2" ON "AIRPORT_SERVICEalias4"."airport_code" = "FLIGHTalias2"."from_airport" AND "DAYSalias4"."days_code" = "FLIGHTalias2"."flight_days" JOIN "airport_service" "AIRPORT_SERVICEalias5" ON "AIRPORT_SERVICEalias5"."airport_code" = "FLIGHTalias2"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias2" ON "FLIGHT_FAREalias2"."flight_id" = "FLIGHTalias2"."flight_id" JOIN "city" "CITYalias5" ON "AIRPORT_SERVICEalias5"."city_code" = "CITYalias5"."city_code" AND "CITYalias5"."city_name" = 'BALTIMORE' JOIN "fare" "FAREalias1" ON "FARE_BASISalias3"."fare_basis_code" = "FAREalias1"."fare_basis_code" AND "FAREalias1"."fare_id" = "FLIGHT_FAREalias2"."fare_id" JOIN "fare_basis" "FARE_BASISalias2" ON "FARE_BASISalias2"."class_type" = 'COACH' AND "FARE_BASISalias2"."fare_basis_code" = "FAREalias1"."fare_basis_code") SELECT DISTINCT "FLIGHT_0"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 10 AND "DATE_DAY_0"."month_number" = 8 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 10 AND "DATE_DAY_1"."month_number" = 8 AND "DATE_DAY_1"."year" = 1991 JOIN "date_day" "DATE_DAY_2" ON "DATE_DAY_2"."day_number" = 10 AND "DATE_DAY_2"."month_number" = 8 AND "DATE_DAY_2"."year" = 1991 CROSS JOIN "flight_fare" "FLIGHT_FARE" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "days" "DAYS_2" ON "DATE_DAY_2"."day_name" = "DAYS_2"."day_name" JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" "FARE_BASIS_0" ON "FARE_BASIS_0"."class_type" = 'COACH' AND "FARE_BASIS_0"."fare_basis_code" = "fare"."fare_basis_code" JOIN "fare_basis" "FARE_BASIS_1" ON "DAYS_1"."days_code" = "FARE_BASIS_1"."basis_days" AND "FARE_BASIS_1"."fare_basis_code" = "fare"."fare_basis_code" JOIN "flight" "FLIGHT_0" ON "AIRPORT_SERVICE_0"."airport_code" = "FLIGHT_0"."from_airport" AND "DAYS_0"."days_code" = "FLIGHT_0"."flight_days" AND "FLIGHT_0"."flight_id" = "flight_fare"."flight_id" JOIN "flight" "FLIGHT_1" ON "DAYS_2"."days_code" = "FLIGHT_1"."flight_days" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "FLIGHT_0"."to_airport" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "FLIGHT_1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_3" ON "AIRPORT_SERVICE_3"."airport_code" = "FLIGHT_1"."to_airport" JOIN "flight_fare" "FLIGHT_FARE_1" ON "FLIGHT_1"."flight_id" = "FLIGHT_FARE_1"."flight_id" AND "FLIGHT_FARE_1"."fare_id" = "fare"."fare_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' JOIN "city" "CITY_3" ON "AIRPORT_SERVICE_3"."city_code" = "CITY_3"."city_code" AND "CITY_3"."city_name" = 'BALTIMORE' | 3.861328 |
CREATE TABLE table_15885 ("Season" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "Team" CLOB, "Draft Pick #" CLOB, "Draft Class" CLOB, "College" CLOB)
| When did the Metrostars have their first Rookie of the Year winner? | SELECT MIN("Season") FROM table_15885 WHERE "Team" = 'MetroStars' | SELECT MIN("Season") FROM "table_15885" WHERE "Team" = 'MetroStars' | 0.06543 |
CREATE TABLE table_204_624 (id NUMBER, "school" CLOB, "team name" CLOB, "town" CLOB, "county" CLOB, "enrollment ( 2010-11 & 2011-12 ) " NUMBER, "primary mshsaa class*" NUMBER, "football class" NUMBER)
| what is the number of football classes lafayette high school has ? | SELECT "football class" FROM table_204_624 WHERE "school" = 'lafayette high school' | SELECT "football class" FROM "table_204_624" WHERE "school" = 'lafayette high school' | 0.083008 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| What are the total enrollments of universities of each affiliation type Plot them as bar chart, and display in descending by the bar. | SELECT Affiliation, SUM(Enrollment) FROM university GROUP BY Affiliation ORDER BY Affiliation DESC | SELECT "Affiliation", SUM("Enrollment") FROM "university" GROUP BY "Affiliation" ORDER BY "Affiliation" DESC | 0.105469 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| what is the FIRST class fare for a round trip DALLAS to DENVER | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.758789 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many male patients are diagnosed with portal hypertension? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.short_title = "Portal hypertension" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Portal hypertension" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender" | 0.219727 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is procedure long title of subject name stephanie suchan? | SELECT procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Stephanie Suchan" | SELECT "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Stephanie Suchan" = "demographic"."name" | 0.165039 |
CREATE TABLE table_204_35 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "place" CLOB)
| how many times did sd ponferradina b compete in division 3a ? | SELECT COUNT(*) FROM table_204_35 WHERE "division" = '3a' | SELECT COUNT(*) FROM "table_204_35" WHERE "division" = '3a' | 0.057617 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose admission location is transfer from hosp/extram and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.217773 |
CREATE TABLE table_31659 ("Date" CLOB, "Result" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT)
| When did the technical knockout against Fatu Tuimanono happen? | SELECT "Date" FROM table_31659 WHERE "Method" = 'technical knockout' AND "Opponent" = 'fatu tuimanono' | SELECT "Date" FROM "table_31659" WHERE "Method" = 'technical knockout' AND "Opponent" = 'fatu tuimanono' | 0.101563 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Are there exams in all upper-level classes ? | SELECT COUNT(*) = 0 FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_exams = 'N' AND program_course.category LIKE '%ULCS%' | SELECT COUNT(*) = 0 FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."has_exams" = 'N' | 0.18457 |
CREATE TABLE table_63845 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What is the Format of the release with Catalog number 2508668? | SELECT "Format" FROM table_63845 WHERE "Catalog" = '2508668' | SELECT "Format" FROM "table_63845" WHERE "Catalog" = '2508668' | 0.060547 |
CREATE TABLE table_1909647_2 (avg_finish VARCHAR2, year VARCHAR2)
| What's the average finish in 2008? | SELECT avg_finish FROM table_1909647_2 WHERE year = 2008 | SELECT "avg_finish" FROM "table_1909647_2" WHERE "year" = 2008 | 0.060547 |
CREATE TABLE table_12113888_1 (number VARCHAR2, rebuilt VARCHAR2)
| How many times was the rebuilt data cannot handle non-empty timestamp argument! 1934? | SELECT COUNT(number) FROM table_12113888_1 WHERE rebuilt = "Cannot handle non-empty timestamp argument! 1934" | SELECT COUNT("number") FROM "table_12113888_1" WHERE "Cannot handle non-empty timestamp argument! 1934" = "rebuilt" | 0.112305 |
CREATE TABLE documents (document_id NUMBER, document_type_code CLOB, project_id NUMBER, document_date TIME, document_name CLOB, document_description CLOB, other_details CLOB)
CREATE TABLE statements (statement_id NUMBER, statement_details CLOB)
CREATE TABLE documents_with_expenses (document_id NUMBER, budget_type_code CLOB, document_details CLOB)
CREATE TABLE accounts (account_id NUMBER, statement_id NUMBER, account_details CLOB)
CREATE TABLE projects (project_id NUMBER, project_details CLOB)
CREATE TABLE ref_budget_codes (budget_type_code CLOB, budget_type_description CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
| What are the dates for the documents with both 'GV' type and 'SF' type expenses? | SELECT T1.document_date FROM documents AS T1 JOIN documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM documents AS T1 JOIN documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF' | SELECT "T1"."document_date" FROM "documents" "T1" JOIN "documents_with_expenses" "T2" ON "T1"."document_id" = "T2"."document_id" AND "T2"."budget_type_code" = 'GV' INTERSECT SELECT "T1"."document_date" FROM "documents" "T1" JOIN "documents_with_expenses" "T2" ON "T1"."document_id" = "T2"."document_id" AND "T2"."budget_type_code" = 'SF' | 0.329102 |
CREATE TABLE table_4750 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the away team score at victoria park? | SELECT "Away team score" FROM table_4750 WHERE "Venue" = 'victoria park' | SELECT "Away team score" FROM "table_4750" WHERE "Venue" = 'victoria park' | 0.072266 |
CREATE TABLE table_19089486_1 (leagues_entering_this_round VARCHAR2, clubs_involved VARCHAR2)
| Name the leagues entering this round for 4 | SELECT leagues_entering_this_round FROM table_19089486_1 WHERE clubs_involved = 4 | SELECT "leagues_entering_this_round" FROM "table_19089486_1" WHERE "clubs_involved" = 4 | 0.084961 |
CREATE TABLE table_71698 ("Builder" CLOB, "Model" CLOB, "Length ( ft/m ) " CLOB, "Order Year" CLOB, "Fuel Propulsion" CLOB, "Fleet Series ( Quantity ) " CLOB)
| Which Fleet Series (Quantity) has an Order Year of 2010, and a Model of de40lfr? | SELECT "Fleet Series (Quantity)" FROM table_71698 WHERE "Order Year" = '2010' AND "Model" = 'de40lfr' | SELECT "Fleet Series (Quantity)" FROM "table_71698" WHERE "Model" = 'de40lfr' AND "Order Year" = '2010' | 0.100586 |
CREATE TABLE table_name_79 (date VARCHAR2, set_3 VARCHAR2)
| What date was the Set 3 of 12 25? | SELECT date FROM table_name_79 WHERE set_3 = "12–25" | SELECT "date" FROM "table_name_79" WHERE "12–25" = "set_3" | 0.056641 |
CREATE TABLE table_27206 ("Player" CLOB, "Games Played" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Steals" FLOAT, "Blocks" FLOAT, "Points" FLOAT)
| What are the numbers of steals associated with players having exactly 3 blocks? | SELECT "Steals" FROM table_27206 WHERE "Blocks" = '3' | SELECT "Steals" FROM "table_27206" WHERE "Blocks" = '3' | 0.053711 |
CREATE TABLE table_68741 ("Region served" CLOB, "City" CLOB, "Channels ( Analog / Digital ) " CLOB, "First air date" CLOB, "ERP ( Analog/ Digital ) " CLOB, "HAAT ( Analog/ Digital ) 1" CLOB, "Transmitter Location" CLOB)
| What is the ERP for the Rockhampton region? | SELECT "ERP (Analog/ Digital)" FROM table_68741 WHERE "Region served" = 'rockhampton' | SELECT "ERP (Analog/ Digital)" FROM "table_68741" WHERE "Region served" = 'rockhampton' | 0.084961 |
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