schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
|---|---|---|---|---|
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what lab test did patient 006-207754 last receive since 97 months ago? | SELECT lab.labname FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-207754')) AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-97 month') ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-207754' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "lab"."labname" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-97 month') AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC NULLS LAST LIMIT 1 | 0.605469 |
CREATE TABLE table_203_283 (id DECIMAL, "#" DECIMAL, "name" TEXT, "strike tone\ ( st-1/16 ) " TEXT, "weight\ ( kg ) " DECIMAL, "diameter\ ( mm ) " DECIMAL, "inscription" TEXT)
| how many bells have weights above 2000 kg ? | SELECT COUNT("name") FROM table_203_283 WHERE "weight\n(kg)" > 2000 | SELECT COUNT("name") FROM "table_203_283" WHERE "weight\n(kg)" > 2000 | 0.067383 |
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, account_name TEXT, other_account_details TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, previous_transaction_id DECIMAL, account_id DECIMAL, card_id DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_last_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT, other_customer_details TEXT)
CREATE TABLE customers_cards (card_id DECIMAL, customer_id DECIMAL, card_type_code TEXT, card_number TEXT, date_valid_from TIME, date_valid_to TIME, other_card_details TEXT)
| How many debit cards do we have? | SELECT COUNT(*) FROM customers_cards WHERE card_type_code = "Debit" | SELECT COUNT(*) FROM "customers_cards" WHERE "Debit" = "card_type_code" | 0.069336 |
CREATE TABLE table_name_64 (round INT, pick__number VARCHAR, position VARCHAR)
| what is the round when the pick # is less than 236 and the position is offensive guard? | SELECT AVG(round) FROM table_name_64 WHERE pick__number < 236 AND position = "offensive guard" | SELECT AVG("round") FROM "table_name_64" WHERE "offensive guard" = "position" AND "pick__number" < 236 | 0.099609 |
CREATE TABLE table_22180 ("Season" FLOAT, "Average Attendance Home" TEXT, "Highest Attendance Home" TEXT, "Average Attendance Away" TEXT, "Highest Attendance Away" TEXT, "Division / Section" TEXT, "Level" TEXT, "Average Attendance League" TEXT)
| In which division did they compete in 2012? | SELECT "Division / Section" FROM table_22180 WHERE "Season" = '2012' | SELECT "Division / Section" FROM "table_22180" WHERE "Season" = '2012' | 0.068359 |
CREATE TABLE table_45693 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What was the score of the match played against away team Arsenal? | SELECT "Score" FROM table_45693 WHERE "Away team" = 'arsenal' | SELECT "Score" FROM "table_45693" WHERE "Away team" = 'arsenal' | 0.061523 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| what are the top three most prescribed drugs for patients 60 or above since 2 years ago? | SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY medication.drugname) AS t1 WHERE t1.c1 <= 3 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" >= 60 GROUP BY "patientunitstayid"), "t1" AS (SELECT "medication"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "medication" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_0"."" IS NULL GROUP BY "medication"."drugname") SELECT "t1"."drugname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3 | 0.515625 |
CREATE TABLE table (europa_league INT)
| Name the least europa league | SELECT MIN(europa_league) FROM table | SELECT MIN("europa_league") FROM "table" | 0.039063 |
CREATE TABLE table_name_56 (school VARCHAR, team VARCHAR)
| What is the school, when the Team is Senators? | SELECT school FROM table_name_56 WHERE team = "senators" | SELECT "school" FROM "table_name_56" WHERE "senators" = "team" | 0.060547 |
CREATE TABLE table_name_70 (series_4 VARCHAR, series_1 VARCHAR)
| What is the series 4 with sarah newman in series 1? | SELECT series_4 FROM table_name_70 WHERE series_1 = "sarah newman" | SELECT "series_4" FROM "table_name_70" WHERE "sarah newman" = "series_1" | 0.070313 |
CREATE TABLE table_2013618_1 (pinyin VARCHAR, foochow VARCHAR)
| Name the pinyin for ci - ng-g ing | SELECT pinyin FROM table_2013618_1 WHERE foochow = "Ciá-ìng-gâing" | SELECT "pinyin" FROM "table_2013618_1" WHERE "Ciá-ìng-gâing" = "foochow" | 0.070313 |
CREATE TABLE table_204_593 (id DECIMAL, "year" TEXT, "chairperson" TEXT)
| who held the position longer , t.v sivaraopantulu or l. suryalingam ? | SELECT "chairperson" FROM table_204_593 WHERE "chairperson" IN ('t.v. sivaraopantulu', 'l. suryalingam') ORDER BY "year" - "year" DESC LIMIT 1 | SELECT "chairperson" FROM "table_204_593" WHERE "chairperson" IN ('t.v. sivaraopantulu', 'l. suryalingam') ORDER BY "year" - "year" DESC NULLS LAST LIMIT 1 | 0.151367 |
CREATE TABLE table_name_10 (doctorate INT, masters VARCHAR, specialist VARCHAR, college VARCHAR)
| What is the highest number of doctorates the college of informatics and systems, which has 0 specialists and less than 2 master's degrees, have? | SELECT MAX(doctorate) FROM table_name_10 WHERE specialist = 0 AND college = "informatics and systems" AND masters < 2 | SELECT MAX("doctorate") FROM "table_name_10" WHERE "college" = "informatics and systems" AND "masters" < 2 AND "specialist" = 0 | 0.124023 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| when did patient 65759 first get prescribed a drug since 01/2103? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 65759) AND STRFTIME('%y-%m', prescriptions.startdate) >= '2103-01' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 65759 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2103-01' ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.386719 |
CREATE TABLE table_33382 ("Name" TEXT, "Pos." TEXT, "Height" TEXT, "Weight" TEXT, "2012 club" TEXT)
| What is the Weight for the 2012 club, Victorian Tigers? | SELECT "Weight" FROM table_33382 WHERE "2012 club" = 'victorian tigers' | SELECT "Weight" FROM "table_33382" WHERE "2012 club" = 'victorian tigers' | 0.071289 |
CREATE TABLE table_8030 ("Religion" TEXT, "Scheduled Caste" TEXT, "Scheduled Tribe" TEXT, "Other Backward Class" TEXT, "Forward caste" TEXT)
| WHAT IS THE FORWARD CASTE WITH A SCHEDULED TRIBE OF 0.90%? | SELECT "Forward caste" FROM table_8030 WHERE "Scheduled Tribe" = '0.90%' | SELECT "Forward caste" FROM "table_8030" WHERE "Scheduled Tribe" = '0.90%' | 0.072266 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is maximum days of hospital stay of patients whose year of death is less than 2111? | SELECT MAX(demographic.days_stay) FROM demographic WHERE demographic.dod_year < "2111.0" | SELECT MAX("demographic"."days_stay") FROM "demographic" WHERE "2111.0" > "demographic"."dod_year" | 0.095703 |
CREATE TABLE table_name_47 (score VARCHAR, loss VARCHAR)
| What was the score of the game with a loss of Myers (5-6)? | SELECT score FROM table_name_47 WHERE loss = "myers (5-6)" | SELECT "score" FROM "table_name_47" WHERE "loss" = "myers (5-6)" | 0.0625 |
CREATE TABLE table_name_75 (name VARCHAR, lost VARCHAR, position VARCHAR)
| Who lost 2 and had a position bigger than 1? | SELECT name FROM table_name_75 WHERE lost = 2 AND position > 1 | SELECT "name" FROM "table_name_75" WHERE "lost" = 2 AND "position" > 1 | 0.068359 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| what was the total amount of protonix of patient 15794 that had received on the current icu visit? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15794) AND icustays.outtime IS NULL) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'protonix' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15794 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'protonix' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.717773 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For all employees in the same department and with the first name Clara, please give me a bar chart that bins hire date into the day of week interval, and count how many employees in each day, and rank by the the number of hire date in descending. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE DEPARTMENT_ID = (SELECT DEPARTMENT_ID FROM employees WHERE FIRST_NAME = "Clara") ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "DEPARTMENT_ID" = (SELECT "DEPARTMENT_ID" FROM "employees" WHERE "Clara" = "FIRST_NAME") ORDER BY COUNT("HIRE_DATE") DESC NULLS LAST | 0.189453 |
CREATE TABLE table_27756572_6 (high_points VARCHAR, team VARCHAR)
| Who and what were the high points player for the game against Detroit? | SELECT high_points FROM table_27756572_6 WHERE team = "Detroit" | SELECT "high_points" FROM "table_27756572_6" WHERE "Detroit" = "team" | 0.067383 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose primary disease is sigmoid diverticulitis, colovestical fistula/sda and drug route is po? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND prescriptions.route = "PO" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PO" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" = "demographic"."diagnosis" | 0.257813 |
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
| JavaScript snippet tags that probably shouldn't be there. | SELECT Title, Tags, Id AS "post_link", Score, ViewCount FROM Posts WHERE PostTypeId = 1 AND Score = 0 AND NOT Tags LIKE '%javascript%' AND Body LIKE '%begin snippet: js hide: false%' | SELECT "Title", "Tags", "Id" AS "post_link", "Score", "ViewCount" FROM "Posts" WHERE "Body" LIKE '%begin snippet: js hide: false%' AND "PostTypeId" = 1 AND "Score" = 0 AND NOT "Tags" LIKE '%javascript%' | 0.197266 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| Calculate the average age of emergency type hospital admission patients who have aortic insufficiency re-do sternotomy aortic valve replacement as their primary disease. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " | SELECT AVG("demographic"."age") FROM "demographic" WHERE "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " = "demographic"."diagnosis" AND "EMERGENCY" = "demographic"."admission_type" | 0.197266 |
CREATE TABLE table_name_95 (loans_received VARCHAR, _2q VARCHAR, total_receipts VARCHAR)
| Name the loans received for 2Q having total receipts of $25,328,694 | SELECT loans_received, _2q FROM table_name_95 WHERE total_receipts = "$25,328,694" | SELECT "loans_received", "_2q" FROM "table_name_95" WHERE "$25,328,694" = "total_receipts" | 0.087891 |
CREATE TABLE table_19296 ("Celebrity" TEXT, "Famous for" TEXT, "Entered" TEXT, "Exited" TEXT, "Finished" TEXT)
| What is the finished place where exited is day 11? | SELECT "Finished" FROM table_19296 WHERE "Exited" = 'Day 11' | SELECT "Finished" FROM "table_19296" WHERE "Exited" = 'Day 11' | 0.060547 |
CREATE TABLE table_78047 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Trofeo Fast Team" TEXT)
| who was the trofeo fast team in stage 10? | SELECT "Trofeo Fast Team" FROM table_78047 WHERE "Stage" = '10' | SELECT "Trofeo Fast Team" FROM "table_78047" WHERE "Stage" = '10' | 0.063477 |
CREATE TABLE table_203_646 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "notes" TEXT)
| how many competitions were held in 2002 ? | SELECT COUNT("competition") FROM table_203_646 WHERE "year" = 2002 | SELECT COUNT("competition") FROM "table_203_646" WHERE "year" = 2002 | 0.066406 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is diagnoses short title of subject id 6983? | SELECT diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "6983" | SELECT "diagnoses"."short_title" FROM "diagnoses" WHERE "6983" = "diagnoses"."subject_id" | 0.086914 |
CREATE TABLE table_60471 ("English name" TEXT, "Thai name" TEXT, "Abbr." TEXT, "Transcription" TEXT, "Sanskrit word" TEXT, "Zodiac sign" TEXT)
| What is the English word that is abbreviated . .? | SELECT "English name" FROM table_60471 WHERE "Abbr." = 'พ.ย.' | SELECT "English name" FROM "table_60471" WHERE "Abbr." = 'พ.ย.' | 0.061523 |
CREATE TABLE table_train_180 ("id" INT, "gender" TEXT, "pregnancy_or_lactation" BOOLEAN, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" TEXT, "post_load_glucose" INT, "diastolic_blood_pressure_dbp" INT, "impaired_glucose_tolerance" BOOLEAN, "fasting_glucose" INT, "age" FLOAT, "NOUSE" FLOAT)
| pregnant female < 18 years old | SELECT * FROM table_train_180 WHERE pregnancy_or_lactation = 1 AND gender = 'female' AND age < 18 | SELECT * FROM "table_train_180" WHERE "age" < 18 AND "gender" = 'female' AND "pregnancy_or_lactation" = 1 | 0.102539 |
CREATE TABLE table_204_938 (id DECIMAL, "year" DECIMAL, "edmonton\ hundred" DECIMAL, "elthorne\ hundred" DECIMAL, "gore\ hundred" DECIMAL, "isleworth\ hundred" DECIMAL, "ossulstone\ hundred\ holborn\ division" DECIMAL, "ossulstone\ hundred\ finsbury\ division" DECIMAL, "ossulstone\ hundred\ kensington\ division" DECIMAL, "ossulstone\ hundred\ tower\ division" DECIMAL, "spelthorne\ hundred" DECIMAL, "london city\ within\ the walls" DECIMAL, "london city\ without\ the walls" DECIMAL, "inns of court\ and\ chancery" DECIMAL, "westminster\ city and\ liberty" DECIMAL, "total" DECIMAL)
| what is the difference between the edmonton hundred and the elthorne hundred in 1801 ? | SELECT ABS("edmonton\nhundred" - "elthorne\nhundred") FROM table_204_938 WHERE "year" = 1801 | SELECT ABS("edmonton\nhundred" - "elthorne\nhundred") FROM "table_204_938" WHERE "year" = 1801 | 0.091797 |
CREATE TABLE employee (employeeid DECIMAL, lastname TEXT, firstname TEXT, title TEXT, reportsto DECIMAL, birthdate TIME, hiredate TIME, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT)
CREATE TABLE mediatype (mediatypeid DECIMAL, name TEXT)
CREATE TABLE artist (artistid DECIMAL, name TEXT)
CREATE TABLE playlisttrack (playlistid DECIMAL, trackid DECIMAL)
CREATE TABLE album (albumid DECIMAL, title TEXT, artistid DECIMAL)
CREATE TABLE invoice (invoiceid DECIMAL, customerid DECIMAL, invoicedate TIME, billingaddress TEXT, billingcity TEXT, billingstate TEXT, billingcountry TEXT, billingpostalcode TEXT, total DECIMAL)
CREATE TABLE playlist (playlistid DECIMAL, name TEXT)
CREATE TABLE invoiceline (invoicelineid DECIMAL, invoiceid DECIMAL, trackid DECIMAL, unitprice DECIMAL, quantity DECIMAL)
CREATE TABLE genre (genreid DECIMAL, name TEXT)
CREATE TABLE customer (customerid DECIMAL, firstname TEXT, lastname TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT, supportrepid DECIMAL)
CREATE TABLE track (trackid DECIMAL, name TEXT, albumid DECIMAL, mediatypeid DECIMAL, genreid DECIMAL, composer TEXT, milliseconds DECIMAL, bytes DECIMAL, unitprice DECIMAL)
| Hom many albums does the artist 'Metallica' have? | SELECT COUNT(*) FROM album AS T1 JOIN artist AS T2 ON T1.artistid = T2.artistid WHERE T2.name = "Metallica" | SELECT COUNT(*) FROM "album" AS "T1" JOIN "artist" AS "T2" ON "Metallica" = "T2"."name" AND "T1"."artistid" = "T2"."artistid" | 0.12207 |
CREATE TABLE table_203_565 (id DECIMAL, "wrestlers" TEXT, "times" DECIMAL, "date" TEXT, "location" TEXT, "notes" TEXT)
| who were the first champions ? | SELECT "wrestlers" FROM table_203_565 ORDER BY "date" LIMIT 1 | SELECT "wrestlers" FROM "table_203_565" ORDER BY "date" NULLS FIRST LIMIT 1 | 0.073242 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
| sort by difference of q/a score. | SELECT a.Id AS "post_link", q.Score AS qscore, a.Score AS ascore, a.Score - q.Score AS diff, q.CommentCount AS qcomment, CASE WHEN q.AcceptedAnswerId = a.Id THEN 'accepted' END AS accepted, crt.Name AS closed FROM Posts AS a JOIN Posts AS q ON a.ParentId = q.Id LEFT JOIN PostHistory AS ph ON q.Id = ph.PostId AND ph.PostHistoryTypeId = 10 LEFT JOIN CloseReasonTypes AS crt ON ph.Comment = crt.Id WHERE a.PostTypeId = 2 AND q.PostTypeId = 1 AND q.Score <= 0 AND a.Score > 2 AND q.CreationDate BETWEEN '2015-09-01' AND '2016-03-01' ORDER BY diff DESC | SELECT "a"."Id" AS "post_link", "q"."Score" AS "qscore", "a"."Score" AS "ascore", "a"."Score" - "q"."Score" AS "diff", "q"."CommentCount" AS "qcomment", CASE WHEN "a"."Id" = "q"."AcceptedAnswerId" THEN 'accepted' END AS "accepted", "crt"."Name" AS "closed" FROM "Posts" AS "a" JOIN "Posts" AS "q" ON "a"."ParentId" = "q"."Id" AND "q"."CreationDate" <= '2016-03-01' AND "q"."CreationDate" >= '2015-09-01' AND "q"."PostTypeId" = 1 AND "q"."Score" <= 0 LEFT JOIN "PostHistory" AS "ph" ON "ph"."PostHistoryTypeId" = 10 AND "ph"."PostId" = "q"."Id" LEFT JOIN "CloseReasonTypes" AS "crt" ON "crt"."Id" = "ph"."Comment" WHERE "a"."PostTypeId" = 2 AND "a"."Score" > 2 ORDER BY "diff" DESC NULLS LAST | 0.674805 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what is the chloride difference and change in patient 027-122814 measured at 2103-01-19 12:45:58 compared to the value measured at 2103-01-17 12:15:58? | 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 = '027-122814')) AND lab.labname = 'chloride' AND lab.labresulttime = '2103-01-19 12:45:58') - (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 = '027-122814')) AND lab.labname = 'chloride' AND lab.labresulttime = '2103-01-17 12:15:58') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-122814' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_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" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'chloride' AND "lab"."labresulttime" = '2103-01-19 12:45:58' AND NOT "_u_1"."" IS NULL) - (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" AS "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'chloride' AND "lab"."labresulttime" = '2103-01-17 12:15:58' AND NOT "_u_4"."" IS NULL) | 0.979492 |
CREATE TABLE table_15315816_1 (dates VARCHAR, year VARCHAR)
| When are all dates in the year 2006? | SELECT COUNT(dates) FROM table_15315816_1 WHERE year = "2006" | SELECT COUNT("dates") FROM "table_15315816_1" WHERE "2006" = "year" | 0.06543 |
CREATE TABLE table_37538 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| How much Lost has an Against larger than 19, and a Drawn smaller than 1? | SELECT SUM("Lost") FROM table_37538 WHERE "Against" > '19' AND "Drawn" < '1' | SELECT SUM("Lost") FROM "table_37538" WHERE "Against" > '19' AND "Drawn" < '1' | 0.076172 |
CREATE TABLE table_2252 ("Date" TEXT, "Location" TEXT, "Discipline" TEXT, "Winner" TEXT, "2nd place" TEXT, "3rd place" TEXT)
| Who won the cup on 30.11.2008? | SELECT "Winner" FROM table_2252 WHERE "Date" = '30.11.2008' | SELECT "Winner" FROM "table_2252" WHERE "Date" = '30.11.2008' | 0.05957 |
CREATE TABLE table_29243 ("Train No." FLOAT, "Train Name" TEXT, "Arrival" TEXT, "Departure" TEXT, "Days" TEXT, "Platform No." TEXT)
| How many trains arrive at 11:00? | SELECT COUNT("Train No.") FROM table_29243 WHERE "Arrival" = '11:00' | SELECT COUNT("Train No.") FROM "table_29243" WHERE "Arrival" = '11:00' | 0.068359 |
CREATE TABLE table_24910737_1 (written_by VARCHAR, us_viewers__millions_ VARCHAR)
| Who wrote the episodes that had a viewership of 7.14? | SELECT written_by FROM table_24910737_1 WHERE us_viewers__millions_ = "7.14" | SELECT "written_by" FROM "table_24910737_1" WHERE "7.14" = "us_viewers__millions_" | 0.080078 |
CREATE TABLE table_1341718_43 (district VARCHAR, incumbent VARCHAR)
| How many districts does Ed Jones represent? | SELECT COUNT(district) FROM table_1341718_43 WHERE incumbent = "Ed Jones" | SELECT COUNT("district") FROM "table_1341718_43" WHERE "Ed Jones" = "incumbent" | 0.077148 |
CREATE TABLE table_19715 ("Rank" FLOAT, "Name" TEXT, "Nationality" TEXT, "Total points" TEXT, "Oberstdorf ( Rk ) " TEXT, "Ga-Pa ( Rk ) " TEXT, "Bhofen#1 ( Rk ) " TEXT, "Bhofen#2 ( Rk ) " TEXT)
| What was the Bhofen #2 score and rank for the player whose GA-PA score and rank was 233.4 (16)? | SELECT "Bhofen#2 (Rk)" FROM table_19715 WHERE "Ga-Pa (Rk)" = '233.4 (16)' | SELECT "Bhofen#2 (Rk)" FROM "table_19715" WHERE "Ga-Pa (Rk)" = '233.4 (16)' | 0.073242 |
CREATE TABLE table_60816 ("Year" FLOAT, "Grand Slam" TEXT, "Round" TEXT, "Winner" TEXT, "Loser" TEXT)
| In which year is Nerida Gregory listed as the loser? | SELECT AVG("Year") FROM table_60816 WHERE "Loser" = 'nerida gregory' | SELECT AVG("Year") FROM "table_60816" WHERE "Loser" = 'nerida gregory' | 0.068359 |
CREATE TABLE table_name_73 (screen_size__inch_ VARCHAR, intro_year VARCHAR, model VARCHAR)
| Name the size of the screen that came out in 2006 and is iliad | SELECT screen_size__inch_ FROM table_name_73 WHERE intro_year = "2006" AND model = "iliad" | SELECT "screen_size__inch_" FROM "table_name_73" WHERE "2006" = "intro_year" AND "iliad" = "model" | 0.095703 |
CREATE TABLE table_204_123 (id DECIMAL, "week" DECIMAL, "date" TEXT, "kickoff" TEXT, "opponent" TEXT, "results\ final score" TEXT, "results\ team record" TEXT, "game site" TEXT, "attendance" DECIMAL)
| what was the teams final record | SELECT "results\nteam record" FROM table_204_123 ORDER BY "week" DESC LIMIT 1 | SELECT "results\nteam record" FROM "table_204_123" ORDER BY "week" DESC NULLS LAST LIMIT 1 | 0.087891 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| calculate the total number of patients who have died and had femoral artery thrombosis as primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "FEMORAL ARTERY THROMBOSIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "FEMORAL ARTERY THROMBOSIS" = "demographic"."diagnosis" | 0.164063 |
CREATE TABLE table_name_95 (capacity INT, stadium VARCHAR)
| What is the highest capacity of the tsentral stadium (batumi)? | SELECT MAX(capacity) FROM table_name_95 WHERE stadium = "tsentral stadium (batumi)" | SELECT MAX("capacity") FROM "table_name_95" WHERE "stadium" = "tsentral stadium (batumi)" | 0.086914 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| calculate the two year survival probability of patients who were prescribed a sodium polystyrene sulfonate after they were diagnosed with bone & cartilage dis nos. | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 2 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'bone & cartilage dis nos') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 2 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'sodium polystyrene sulfonate') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'bone & cartilage dis nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'sodium polystyrene sulfonate') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 730 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" AS "t1" JOIN "t3" AS "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 730 | 1.064453 |
CREATE TABLE table_67854 ("Tournament" TEXT, "Wins" FLOAT, "Top-10" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the highest wins a tournament with 3 cuts and more than 4 events has? | SELECT MAX("Wins") FROM table_67854 WHERE "Cuts made" = '3' AND "Events" > '4' | SELECT MAX("Wins") FROM "table_67854" WHERE "Cuts made" = '3' AND "Events" > '4' | 0.078125 |
CREATE TABLE table_75481 ("Game" FLOAT, "October" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
| Name the score for game more than 6 and before october 28 | SELECT "Score" FROM table_75481 WHERE "Game" > '6' AND "October" < '28' | SELECT "Score" FROM "table_75481" WHERE "Game" > '6' AND "October" < '28' | 0.071289 |
CREATE TABLE table_204_813 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "event" TEXT, "notes" TEXT)
| how many years are listed in this competition record chart ? | SELECT COUNT(DISTINCT "year") FROM table_204_813 | SELECT COUNT(DISTINCT "year") FROM "table_204_813" | 0.048828 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and I want to sort Y in descending order. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("DEPARTMENT_ID") DESC NULLS LAST | 0.132813 |
CREATE TABLE table_name_46 (competition VARCHAR, position VARCHAR, event VARCHAR, year VARCHAR)
| Which Competition has an Event of 50km, a Year earlier than 2010 and a Position of 3rd? | SELECT competition FROM table_name_46 WHERE event = "50km" AND year < 2010 AND position = "3rd" | SELECT "competition" FROM "table_name_46" WHERE "3rd" = "position" AND "50km" = "event" AND "year" < 2010 | 0.102539 |
CREATE TABLE table_6476 ("Pick #" FLOAT, "NFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| what were the five most frequent prescriptions of medications for patients who were also prescribed proparacaine hcl 0.5% opth. at the same time a year before? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'proparacaine hcl 0.5% opth.' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'proparacaine hcl 0.5% opth.' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 0.866211 |
CREATE TABLE table_10711 ("Year" FLOAT, "Network" TEXT, "Play-by-play" TEXT, "Colour commentator ( s ) " TEXT, "Ice level reporters" TEXT, "Studio host" TEXT, "Studio analysts" TEXT)
| Which studio analyst has Scott Oake for the ice level reporter? | SELECT "Studio analysts" FROM table_10711 WHERE "Ice level reporters" = 'scott oake' | SELECT "Studio analysts" FROM "table_10711" WHERE "Ice level reporters" = 'scott oake' | 0.083984 |
CREATE TABLE table_56488 ("Fire Class" TEXT, "Geometric Symbol" TEXT, "Intended Use" TEXT, "Mnemonic" TEXT, "compatibility" TEXT)
| What is the compatibility for the Mnemonic d for 'dynamite'? | SELECT "compatibility" FROM table_56488 WHERE "Mnemonic" = 'd for "dynamite' | SELECT "compatibility" FROM "table_56488" WHERE "Mnemonic" = 'd for "dynamite' | 0.076172 |
CREATE TABLE table_name_11 (result VARCHAR, venue VARCHAR)
| Which result has adelaide oval as the venue? | SELECT result FROM table_name_11 WHERE venue = "adelaide oval" | SELECT "result" FROM "table_name_11" WHERE "adelaide oval" = "venue" | 0.066406 |
CREATE TABLE table_name_76 (cfl_team VARCHAR, player VARCHAR)
| What CFL Team is Pascal Masson on? | SELECT cfl_team FROM table_name_76 WHERE player = "pascal masson" | SELECT "cfl_team" FROM "table_name_76" WHERE "pascal masson" = "player" | 0.069336 |
CREATE TABLE table_name_78 (year INT, location VARCHAR)
| What was the earliest year that had a location of Brookline, Massachusetts? | SELECT MIN(year) FROM table_name_78 WHERE location = "brookline, massachusetts" | SELECT MIN("year") FROM "table_name_78" WHERE "brookline, massachusetts" = "location" | 0.083008 |
CREATE TABLE table_name_21 (rank VARCHAR, time VARCHAR)
| What is the Rank of the Athletes with a Time of 3:43.491? | SELECT COUNT(rank) FROM table_name_21 WHERE time = "3:43.491" | SELECT COUNT("rank") FROM "table_name_21" WHERE "3:43.491" = "time" | 0.06543 |
CREATE TABLE table_9520 ("Name" TEXT, "Nationality" TEXT, "Position [F ]" TEXT, "Date from [G ]" TEXT, "Date to [H ]" TEXT, "Appearances" FLOAT, "Goals" FLOAT, "Club source [I ]" TEXT)
| What is Club Source [I ], when Name is 'Andrew McCombie Category:Articles With hCards'? | SELECT "Club source [I ]" FROM table_9520 WHERE "Name" = 'andrew mccombie category:articles with hcards' | SELECT "Club source [I ]" FROM "table_9520" WHERE "Name" = 'andrew mccombie category:articles with hcards' | 0.103516 |
CREATE TABLE table_76873 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Points difference" TEXT, "Points" TEXT)
| What is Points For, when Points is '63'? | SELECT "Points for" FROM table_76873 WHERE "Points" = '63' | SELECT "Points for" FROM "table_76873" WHERE "Points" = '63' | 0.058594 |
CREATE TABLE table_name_77 (player VARCHAR, points VARCHAR, touchdowns VARCHAR, extra_points VARCHAR)
| What Player has less than 10 Touchdowns and 0 Extra points and more than 5 Points? | SELECT player FROM table_name_77 WHERE touchdowns < 10 AND extra_points = 0 AND points > 5 | SELECT "player" FROM "table_name_77" WHERE "extra_points" = 0 AND "points" > 5 AND "touchdowns" < 10 | 0.097656 |
CREATE TABLE table_63144 ("Year" FLOAT, "Theme" TEXT, "Artist" TEXT, "Mintage" FLOAT, "Issue price" TEXT)
| What is the fewest mintage from Dora de P dery-Hunt, and the year was before 2002? | SELECT MIN("Mintage") FROM table_63144 WHERE "Artist" = 'dora de pédery-hunt' AND "Year" < '2002' | SELECT MIN("Mintage") FROM "table_63144" WHERE "Artist" = 'dora de pédery-hunt' AND "Year" < '2002' | 0.09668 |
CREATE TABLE table_4770 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| On what day is geelong the home team? | SELECT "Date" FROM table_4770 WHERE "Home team" = 'geelong' | SELECT "Date" FROM "table_4770" WHERE "Home team" = 'geelong' | 0.05957 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
| What are all the upper-level electives being offered in the Fall and Winter ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (semester.semester = 'FA' OR semester.semester = 'WN') AND course.department = 'EECS' AND program_course.category LIKE '%ULCS%' AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND ("semester"."semester" = 'FA' OR "semester"."semester" = 'WN') AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' | 0.485352 |
CREATE TABLE table_78472 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Attendance" TEXT)
| What was the Attendance of the Game at Hoosier Dome? | SELECT "Attendance" FROM table_78472 WHERE "Game site" = 'hoosier dome' | SELECT "Attendance" FROM "table_78472" WHERE "Game site" = 'hoosier dome' | 0.071289 |
CREATE TABLE table_322 ("Country" TEXT, "Interview" TEXT, "Swimsuit" TEXT, "Evening Gown" TEXT, "Average" TEXT)
| Who had a swimsuit score of 9.87? | SELECT COUNT("Country") FROM table_322 WHERE "Swimsuit" = '9.87' | SELECT COUNT("Country") FROM "table_322" WHERE "Swimsuit" = '9.87' | 0.064453 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
| i want to see the cheapest flight from ATLANTA to BALTIMORE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BALTIMORE' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'ATLANTA' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BALTIMORE' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.47168 |
CREATE TABLE table_5780 ("Call sign" TEXT, "Frequency" TEXT, "City of License" TEXT, "Owner" TEXT, "Format" TEXT)
| Who is the owner with a frequency of 0 101.1 fm? | SELECT "Owner" FROM table_5780 WHERE "Frequency" = '0 101.1 fm' | SELECT "Owner" FROM "table_5780" WHERE "Frequency" = '0 101.1 fm' | 0.063477 |
CREATE TABLE table_name_18 (date VARCHAR, venue VARCHAR)
| When was victoria park used as a venue? | SELECT date FROM table_name_18 WHERE venue = "victoria park" | SELECT "date" FROM "table_name_18" WHERE "venue" = "victoria park" | 0.064453 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is average age of patients whose gender is m and ethnicity is hispanic or latino? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "HISPANIC OR LATINO" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "HISPANIC OR LATINO" = "demographic"."ethnicity" AND "M" = "demographic"."gender" | 0.134766 |
CREATE TABLE table_name_29 (torque VARCHAR, engine VARCHAR)
| What is the torque of a 2B engine? | SELECT torque FROM table_name_29 WHERE engine = "2b" | SELECT "torque" FROM "table_name_29" WHERE "2b" = "engine" | 0.056641 |
CREATE TABLE table_10405 ("Year" TEXT, "Name" TEXT, "Film" TEXT, "Role" TEXT, "Status" TEXT)
| In what year is the status of won? | SELECT "Year" FROM table_10405 WHERE "Status" = 'won' | SELECT "Year" FROM "table_10405" WHERE "Status" = 'won' | 0.053711 |
CREATE TABLE table_name_48 (opponents_in_final VARCHAR, score_in_final VARCHAR, surface VARCHAR)
| What is the Opponents in Final in the match with a Score in Final of 4 6, 1 6 played on Clay Surface? | SELECT opponents_in_final FROM table_name_48 WHERE score_in_final = "4–6, 1–6" AND surface = "clay" | SELECT "opponents_in_final" FROM "table_name_48" WHERE "4–6, 1–6" = "score_in_final" AND "clay" = "surface" | 0.104492 |
CREATE TABLE table_name_78 (date VARCHAR, away_team VARCHAR)
| What date was the away team Hawthorn? | SELECT date FROM table_name_78 WHERE away_team = "hawthorn" | SELECT "date" FROM "table_name_78" WHERE "away_team" = "hawthorn" | 0.063477 |
CREATE TABLE table_60175 ("Shooter" TEXT, "Event" TEXT, "Rank points" TEXT, "Score points" TEXT, "Total" TEXT)
| What is Score Points, when Shooter is 'Sandra Kolly ( SUI )'? | SELECT "Score points" FROM table_60175 WHERE "Shooter" = 'sandra kolly ( sui )' | SELECT "Score points" FROM "table_60175" WHERE "Shooter" = 'sandra kolly ( sui )' | 0.079102 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by weekday, and I want to order by the Y from high to low. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(MANAGER_ID) DESC | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("MANAGER_ID") DESC NULLS LAST | 0.126953 |
CREATE TABLE table_36412 ("Country" TEXT, "Launches" FLOAT, "Successes" FLOAT, "Failures" FLOAT, "Partial failures" FLOAT)
| Failures larger than 0, and a Successes of 1 has what lowest partial failures? | SELECT MIN("Partial failures") FROM table_36412 WHERE "Failures" > '0' AND "Successes" = '1' | SELECT MIN("Partial failures") FROM "table_36412" WHERE "Failures" > '0' AND "Successes" = '1' | 0.091797 |
CREATE TABLE table_203_452 (id DECIMAL, "pos" DECIMAL, "no" DECIMAL, "driver" TEXT, "team" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| what is the name of the first team on this chart ? | SELECT "team" FROM table_203_452 WHERE id = 1 | SELECT "team" FROM "table_203_452" WHERE "id" = 1 | 0.047852 |
CREATE TABLE Customer (CustomerId INT, FirstName VARCHAR, LastName VARCHAR, Company VARCHAR, Address VARCHAR, City VARCHAR, State VARCHAR, Country VARCHAR, PostalCode VARCHAR, Phone VARCHAR, Fax VARCHAR, Email VARCHAR, SupportRepId INT)
CREATE TABLE Artist (ArtistId INT, Name VARCHAR)
CREATE TABLE MediaType (MediaTypeId INT, Name VARCHAR)
CREATE TABLE Playlist (PlaylistId INT, Name VARCHAR)
CREATE TABLE Invoice (InvoiceId INT, CustomerId INT, InvoiceDate DATETIME, BillingAddress VARCHAR, BillingCity VARCHAR, BillingState VARCHAR, BillingCountry VARCHAR, BillingPostalCode VARCHAR, Total DECIMAL)
CREATE TABLE Employee (EmployeeId INT, LastName VARCHAR, FirstName VARCHAR, Title VARCHAR, ReportsTo INT, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR, City VARCHAR, State VARCHAR, Country VARCHAR, PostalCode VARCHAR, Phone VARCHAR, Fax VARCHAR, Email VARCHAR)
CREATE TABLE Genre (GenreId INT, Name VARCHAR)
CREATE TABLE Track (TrackId INT, Name VARCHAR, AlbumId INT, MediaTypeId INT, GenreId INT, Composer VARCHAR, Milliseconds INT, Bytes INT, UnitPrice DECIMAL)
CREATE TABLE InvoiceLine (InvoiceLineId INT, InvoiceId INT, TrackId INT, UnitPrice DECIMAL, Quantity INT)
CREATE TABLE Album (AlbumId INT, Title VARCHAR, ArtistId INT)
CREATE TABLE PlaylistTrack (PlaylistId INT, TrackId INT)
| A bar chart for what are the number of the phone numbers for each employee?, rank x axis in asc order please. | SELECT Phone, COUNT(Phone) FROM Employee GROUP BY Phone ORDER BY Phone | SELECT "Phone", COUNT("Phone") FROM "Employee" GROUP BY "Phone" ORDER BY "Phone" NULLS FIRST | 0.089844 |
CREATE TABLE school (School_name VARCHAR, school_id VARCHAR)
CREATE TABLE endowment (school_id VARCHAR, amount INT)
| Find the names of schools that have more than one donator with donation amount above 8.5. | SELECT T2.School_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T1.amount > 8.5 GROUP BY T1.school_id HAVING COUNT(*) > 1 | SELECT "T2"."School_name" FROM "endowment" AS "T1" JOIN "school" AS "T2" ON "T1"."school_id" = "T2"."school_id" WHERE "T1"."amount" > 8.5 GROUP BY "T1"."school_id" HAVING COUNT(*) > 1 | 0.178711 |
CREATE TABLE table_20392 ("N\\u00b0" TEXT, "Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "DAR" TEXT, "HDTV" TEXT, "PPV" TEXT, "Package/Option" TEXT)
| How many PPV values are listed for when television service Sky Cinema 1? | SELECT COUNT("PPV") FROM table_20392 WHERE "Television service" = 'Sky Cinema 1' | SELECT COUNT("PPV") FROM "table_20392" WHERE "Television service" = 'Sky Cinema 1' | 0.080078 |
CREATE TABLE table_name_26 (name VARCHAR, current_status VARCHAR, location VARCHAR)
| What is the name of the station in Toolamba that is currently demolished? | SELECT name FROM table_name_26 WHERE current_status = "demolished" AND location = "toolamba" | SELECT "name" FROM "table_name_26" WHERE "current_status" = "demolished" AND "location" = "toolamba" | 0.097656 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients whose gender is f and procedure long title is replacement of tube or enterostomy device of small intestine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.long_title = "Replacement of tube or enterostomy device of small intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Replacement of tube or enterostomy device of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "F" = "demographic"."gender" | 0.261719 |
CREATE TABLE table_73491 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score in the final" TEXT)
| Name the championship for clay and corrado barazzutti | SELECT "Championship" FROM table_73491 WHERE "Surface" = 'Clay' AND "Opponent in the final" = 'Corrado Barazzutti' | SELECT "Championship" FROM "table_73491" WHERE "Opponent in the final" = 'Corrado Barazzutti' AND "Surface" = 'Clay' | 0.113281 |
CREATE TABLE table_27664 ("GB" TEXT, "ISO \\u2116" TEXT, "Province" TEXT, "Chinese Name" TEXT, "Capital" TEXT, "Population\\u00b9" FLOAT, "Density\\u00b2" TEXT, "Area\\u00b3" FLOAT, "Abbreviation/Symbol" TEXT)
| How many provinces are named q ngh i sh ng? | SELECT COUNT("ISO \u2116") FROM table_27664 WHERE "Chinese Name" = '青海省 Qīnghǎi Shěng' | SELECT COUNT("ISO \u2116") FROM "table_27664" WHERE "Chinese Name" = '青海省 Qīnghǎi Shěng' | 0.085938 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| when did patient 011-59493 receive valve replacement or repair - emergent for the first time since 4 years ago? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-59493')) AND treatment.treatmentname = 'valve replacement or repair - emergent' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY treatment.treatmenttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '011-59493' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'valve replacement or repair - emergent' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" NULLS FIRST LIMIT 1 | 0.707031 |
CREATE TABLE asset_parts (asset_id DECIMAL, part_id DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, staff_name TEXT, gender TEXT, other_staff_details TEXT)
CREATE TABLE part_faults (part_fault_id DECIMAL, part_id DECIMAL, fault_short_name TEXT, fault_description TEXT, other_fault_details TEXT)
CREATE TABLE engineer_visits (engineer_visit_id DECIMAL, contact_staff_id DECIMAL, engineer_id DECIMAL, fault_log_entry_id DECIMAL, fault_status TEXT, visit_start_datetime TIME, visit_end_datetime TIME, other_visit_details TEXT)
CREATE TABLE maintenance_contracts (maintenance_contract_id DECIMAL, maintenance_contract_company_id DECIMAL, contract_start_date TIME, contract_end_date TIME, other_contract_details TEXT)
CREATE TABLE parts (part_id DECIMAL, part_name TEXT, chargeable_yn TEXT, chargeable_amount TEXT, other_part_details TEXT)
CREATE TABLE fault_log (fault_log_entry_id DECIMAL, asset_id DECIMAL, recorded_by_staff_id DECIMAL, fault_log_entry_datetime TIME, fault_description TEXT, other_fault_details TEXT)
CREATE TABLE skills (skill_id DECIMAL, skill_code TEXT, skill_description TEXT)
CREATE TABLE third_party_companies (company_id DECIMAL, company_type TEXT, company_name TEXT, company_address TEXT, other_company_details TEXT)
CREATE TABLE skills_required_to_fix (part_fault_id DECIMAL, skill_id DECIMAL)
CREATE TABLE engineer_skills (engineer_id DECIMAL, skill_id DECIMAL)
CREATE TABLE fault_log_parts (fault_log_entry_id DECIMAL, part_fault_id DECIMAL, fault_status TEXT)
CREATE TABLE maintenance_engineers (engineer_id DECIMAL, company_id DECIMAL, first_name TEXT, last_name TEXT, other_details TEXT)
CREATE TABLE assets (asset_id DECIMAL, maintenance_contract_id DECIMAL, supplier_company_id DECIMAL, asset_details TEXT, asset_make TEXT, asset_model TEXT, asset_acquired_date TIME, asset_disposed_date TIME, other_asset_details TEXT)
| Which third party companies have at least 2 maintenance engineers or have at least 2 maintenance contracts? List the company id and name. | SELECT T1.company_id, T1.company_name FROM third_party_companies AS T1 JOIN maintenance_engineers AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(*) >= 2 UNION SELECT T3.company_id, T3.company_name FROM third_party_companies AS T3 JOIN maintenance_contracts AS T4 ON T3.company_id = T4.maintenance_contract_company_id GROUP BY T3.company_id HAVING COUNT(*) >= 2 | SELECT "T1"."company_id", "T1"."company_name" FROM "third_party_companies" AS "T1" JOIN "maintenance_engineers" AS "T2" ON "T1"."company_id" = "T2"."company_id" GROUP BY "T1"."company_id" HAVING COUNT(*) >= 2 UNION SELECT "T3"."company_id", "T3"."company_name" FROM "third_party_companies" AS "T3" JOIN "maintenance_contracts" AS "T4" ON "T3"."company_id" = "T4"."maintenance_contract_company_id" GROUP BY "T3"."company_id" HAVING COUNT(*) >= 2 | 0.433594 |
CREATE TABLE table_5896 ("Game" FLOAT, "February" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
| Which Opponent has a February larger than 7 and Record of 37-16-4? | SELECT "Opponent" FROM table_5896 WHERE "February" > '7' AND "Record" = '37-16-4' | SELECT "Opponent" FROM "table_5896" WHERE "February" > '7' AND "Record" = '37-16-4' | 0.081055 |
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
| i'd like a flight from DETROIT to ST. PETERSBURG for tuesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PETERSBURG' AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DETROIT' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DETROIT' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ST. PETERSBURG' | 0.711914 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose diagnoses short title is angioneurotic edema and lab test abnormal status is abnormal? | 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.short_title = "Angioneurotic edema" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Angioneurotic edema" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.269531 |
CREATE TABLE schedule (Cinema_ID INT, Film_ID INT, Date TEXT, Show_times_per_day INT, Price FLOAT)
CREATE TABLE cinema (Cinema_ID INT, Name TEXT, Openning_year INT, Capacity INT, Location TEXT)
CREATE TABLE film (Film_ID INT, Rank_in_series INT, Number_in_season INT, Title TEXT, Directed_by TEXT, Original_air_date TEXT, Production_code TEXT)
| List all directors along with the number of films directed by each director Plot them as bar chart, I want to show total number in ascending order. | SELECT Directed_by, COUNT(*) FROM film GROUP BY Directed_by ORDER BY COUNT(*) | SELECT "Directed_by", COUNT(*) FROM "film" GROUP BY "Directed_by" ORDER BY COUNT(*) NULLS FIRST | 0.092773 |
CREATE TABLE table_58088 ("Date" TEXT, "Venue" TEXT, "Opposition" TEXT, "Score" TEXT, "Competition" TEXT)
| What is the date of the game with a score of 4-3? | SELECT "Date" FROM table_58088 WHERE "Score" = '4-3' | SELECT "Date" FROM "table_58088" WHERE "Score" = '4-3' | 0.052734 |
CREATE TABLE table_name_93 (rank VARCHAR, club VARCHAR, points VARCHAR)
| Which Rank has a Club of zulte waregem, and Points larger than 22? | SELECT COUNT(rank) FROM table_name_93 WHERE club = "zulte waregem" AND points > 22 | SELECT COUNT("rank") FROM "table_name_93" WHERE "club" = "zulte waregem" AND "points" > 22 | 0.087891 |
CREATE TABLE table_name_85 (date_of_birth__age_ VARCHAR, caps VARCHAR)
| What is the birthday of caps of 32? | SELECT date_of_birth__age_ FROM table_name_85 WHERE caps = 32 | SELECT "date_of_birth__age_" FROM "table_name_85" WHERE "caps" = 32 | 0.06543 |
CREATE TABLE table_22550 ("Rank" FLOAT, "Name" TEXT, "Tenure" TEXT, "Leagues" TEXT, "Attempts" FLOAT, "Completions" FLOAT, "Comp %" TEXT, "Touchdowns" FLOAT, "Interceptions" FLOAT, "Yardage" FLOAT, "QB Rating" TEXT)
| In which league would you find the player with a comp percentage of 54.0? | SELECT "Leagues" FROM table_22550 WHERE "Comp %" = '54.0' | SELECT "Leagues" FROM "table_22550" WHERE "Comp %" = '54.0' | 0.057617 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.