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CREATE TABLE table_name_46 (place VARCHAR, country VARCHAR)
| What is the place of Australia? | SELECT place FROM table_name_46 WHERE country = "australia" | SELECT "place" FROM "table_name_46" WHERE "australia" = "country" | 0.063477 |
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| get me the admission location and short title of diagnoses for patient with patient id 3623. | SELECT demographic.admission_location, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "3623" | SELECT "demographic"."admission_location", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "3623" = "demographic"."subject_id" | 0.192383 |
CREATE TABLE table_1021 ("Player" TEXT, "Position" TEXT, "Starter" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| What is the least amount of field goals made by a player? | SELECT MIN("Field goals") FROM table_1021 | SELECT MIN("Field goals") FROM "table_1021" | 0.041992 |
CREATE TABLE table_test_14 ("id" INT, "bleeding" INT, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" INT, "haemoglobin" FLOAT, "severe_hypertension" BOOLEAN, "platelets" INT, "neutrophil_count" INT, "renal_disease" BOOLEAN, "severe_thrombocytopenia" BOOLEAN, "fasting_blood_glucose_fbg" FLOAT, "creatinine_clearance_cl" FLOAT, "neutropenia" INT, "estimated_glomerular_filtration_rate_egfr" INT, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "iv_pressors" BOOLEAN, "hemodynamic_instability" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "cr" INT, "low_density_lipoprotein_ldl_cholesterol" INT, "NOUSE" FLOAT)
| patients with platelet count less than 100000 / ul. | SELECT * FROM table_test_14 WHERE platelet_count < 100000 | SELECT * FROM "table_test_14" WHERE "platelet_count" < 100000 | 0.05957 |
CREATE TABLE table_train_229 ("id" INT, "hemoglobin_a1c_hba1c" FLOAT, "active_metabolic" BOOLEAN, "body_weight" FLOAT, "hba1c" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| minimal weight of 40 kg | SELECT * FROM table_train_229 WHERE body_weight >= 40 | SELECT * FROM "table_train_229" WHERE "body_weight" >= 40 | 0.055664 |
CREATE TABLE table_27502 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| What episode number in the series is 'tough love'? | SELECT MAX("No. in series") FROM table_27502 WHERE "Title" = 'Tough Love' | SELECT MAX("No. in series") FROM "table_27502" WHERE "Title" = 'Tough Love' | 0.073242 |
CREATE TABLE table_52019 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" TEXT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| Tell me the total number of positions with goal difference more than -17 and played less than 38 | SELECT COUNT("Position") FROM table_52019 WHERE "Goal Difference" > '-17' AND "Played" < '38' | SELECT COUNT("Position") FROM "table_52019" WHERE "Goal Difference" > '-17' AND "Played" < '38' | 0.092773 |
CREATE TABLE table_30121075_1 (barony VARCHAR, townland VARCHAR)
| How many entries are in barony when the townland is derrigra? | SELECT COUNT(barony) FROM table_30121075_1 WHERE townland = "Derrigra" | SELECT COUNT("barony") FROM "table_30121075_1" WHERE "Derrigra" = "townland" | 0.074219 |
CREATE TABLE table_79213 ("Actor" TEXT, "Character" TEXT, "Soap Opera" TEXT, "Years" TEXT, "Duration" TEXT)
| How long did Joyce Jacobs portray her character on her show? | SELECT "Duration" FROM table_79213 WHERE "Actor" = 'joyce jacobs' | SELECT "Duration" FROM "table_79213" WHERE "Actor" = 'joyce jacobs' | 0.06543 |
CREATE TABLE table_18877 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Who scored the most points in the game where the Raptors became 13-49? | SELECT "High points" FROM table_18877 WHERE "Record" = '13-49' | SELECT "High points" FROM "table_18877" WHERE "Record" = '13-49' | 0.0625 |
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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
| Quantity of Questions Tagged With Specific Christian 'Branches of Faith'. 'Denominations' only apply within Protestantism, although they are primarily what is represented within this query. However, since Eastern Orthodoxy and Roman Catholicism are included, I went with 'branches of faith'. | SELECT COUNT(p.Id) AS "#" FROM Posts AS p WHERE p.PostTypeId = 1 AND P.ClosedDate IS NULL AND p.CreationDate > DATEADD(Month, -12, DATEADD(dd, DATEDIFF(dd, 0, GETDATE()), 0)) | SELECT COUNT("p"."Id") AS "#" FROM "Posts" AS "p" WHERE "P"."ClosedDate" IS NULL AND "p"."CreationDate" > DATEADD(MONTH, -12, DATEADD(DAY, DATEDIFF(DAY, CAST(0 AS DATETIME), CAST("dd" AS DATETIME)), 0)) AND "p"."PostTypeId" = 1 | 0.22168 |
CREATE TABLE table_name_71 (to_par VARCHAR, score VARCHAR)
| What is the to par for the score 73-71=144? | SELECT to_par FROM table_name_71 WHERE score = 73 - 71 = 144 | SELECT "to_par" FROM "table_name_71" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_name_4 (coach VARCHAR, details VARCHAR)
| Who is the coach of the 2012 Gold Coast Titans season? | SELECT coach FROM table_name_4 WHERE details = "2012 gold coast titans season" | SELECT "coach" FROM "table_name_4" WHERE "2012 gold coast titans season" = "details" | 0.082031 |
CREATE TABLE table_name_52 (attendance INT, date VARCHAR)
| What is the attendance number for December 2, 1979? | SELECT SUM(attendance) FROM table_name_52 WHERE date = "december 2, 1979" | SELECT SUM("attendance") FROM "table_name_52" WHERE "date" = "december 2, 1979" | 0.077148 |
CREATE TABLE loan (loan_id TEXT, loan_type TEXT, cust_id TEXT, branch_id TEXT, amount DECIMAL)
CREATE TABLE bank (branch_id DECIMAL, bname TEXT, no_of_customers DECIMAL, city TEXT, state TEXT)
CREATE TABLE customer (cust_id TEXT, cust_name TEXT, acc_type TEXT, acc_bal DECIMAL, no_of_loans DECIMAL, credit_score DECIMAL, branch_id DECIMAL, state TEXT)
| Find the name of bank branches that provided some loans. | SELECT DISTINCT T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id | SELECT DISTINCT "T1"."bname" FROM "bank" AS "T1" JOIN "loan" AS "T2" ON "T1"."branch_id" = "T2"."branch_id" | 0.104492 |
CREATE TABLE table_name_26 (to_par VARCHAR, score VARCHAR)
| What was the TO par for the player who scored 70-68-74-70=282? | SELECT to_par FROM table_name_26 WHERE score = 70 - 68 - 74 - 70 = 282 | SELECT "to_par" FROM "table_name_26" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_34563 ("Rank" FLOAT, "Name" TEXT, "Nationality" TEXT, "1st ( m ) " FLOAT, "2nd ( m ) " FLOAT, "Points" FLOAT, "Overall FHT points" TEXT, "Overall WC points ( Rank ) " TEXT)
| How much Rank has a Name of simon ammann, and a 2nd (m) larger than 139? | SELECT COUNT("Rank") FROM table_34563 WHERE "Name" = 'simon ammann' AND "2nd (m)" > '139' | SELECT COUNT("Rank") FROM "table_34563" WHERE "2nd (m)" > '139' AND "Name" = 'simon ammann' | 0.088867 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of manufacturer over the founder , and group by attribute founder, and show from low to high by the Y-axis. | SELECT Founder, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY SUM(Manufacturer) | SELECT "Founder", SUM("Manufacturer") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY SUM("Manufacturer") NULLS FIRST | 0.182617 |
CREATE TABLE table_name_48 (details_of_journey VARCHAR, narrator VARCHAR)
| Which details of journey had simon hoggart as a narrator? | SELECT details_of_journey FROM table_name_48 WHERE narrator = "simon hoggart" | SELECT "details_of_journey" FROM "table_name_48" WHERE "narrator" = "simon hoggart" | 0.081055 |
CREATE TABLE table_name_28 (m60a3_patton VARCHAR, leclerc VARCHAR)
| What is the M60A3 that has 40 rounds as Leclerc? | SELECT m60a3_patton FROM table_name_28 WHERE leclerc = "40 rounds" | SELECT "m60a3_patton" FROM "table_name_28" WHERE "40 rounds" = "leclerc" | 0.070313 |
CREATE TABLE table_80142 ("Colt model no." TEXT, "Diemaco model" TEXT, "Stock" TEXT, "Fire control" TEXT, "Rear sight" TEXT, "Forward assist" TEXT, "Barrel length" TEXT, "Barrel profile" TEXT, "Barrel twist" TEXT, "Hand guards" TEXT, "Bayonet Lug" TEXT, "Muzzle device" TEXT)
| Which Barrel twist has a Stock of canadian 3rd generation and a Hand guards of short ribbed? | SELECT "Barrel twist" FROM table_80142 WHERE "Stock" = 'canadian 3rd generation' AND "Hand guards" = 'short ribbed' | SELECT "Barrel twist" FROM "table_80142" WHERE "Hand guards" = 'short ribbed' AND "Stock" = 'canadian 3rd generation' | 0.114258 |
CREATE TABLE table_name_18 (shooter VARCHAR, score_points VARCHAR, total VARCHAR, event VARCHAR)
| Which shooter had a total of 11 at the WC Munich with a score of 6? | SELECT shooter FROM table_name_18 WHERE total = "11" AND event = "wc munich" AND score_points = "6" | SELECT "shooter" FROM "table_name_18" WHERE "11" = "total" AND "6" = "score_points" AND "event" = "wc munich" | 0.106445 |
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 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| had patient 9294 been admitted in hospital? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 9294 | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."subject_id" = 9294 | 0.074219 |
CREATE TABLE table_name_59 (upper_index_kcal__nm_3 VARCHAR, fuel_gas VARCHAR, lower_index_mj__nm_3 VARCHAR)
| What is the Upper index Kcal/ Nm 3 of iso-butane, and a Lower index MJ/ Nm 3 smaller than 84.71? | SELECT COUNT(upper_index_kcal__nm_3) FROM table_name_59 WHERE fuel_gas = "iso-butane" AND lower_index_mj__nm_3 < 84.71 | SELECT COUNT("upper_index_kcal__nm_3") FROM "table_name_59" WHERE "fuel_gas" = "iso-butane" AND "lower_index_mj__nm_3" < 84.71 | 0.123047 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE 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)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| Plot the average of salary by grouped by hire date as a bar graph | SELECT HIRE_DATE, AVG(SALARY) FROM employees | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" | 0.048828 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| has patient 030-52395 had any chest tube e amount since 2050 days ago. | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-52395')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'chest tube e amount' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-2050 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-52395' 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 COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'chest tube e amount' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-2050 day') AND NOT "_u_1"."" IS NULL | 0.675781 |
CREATE TABLE department_store_chain (dept_store_chain_id DECIMAL, dept_store_chain_name TEXT)
CREATE TABLE suppliers (supplier_id DECIMAL, supplier_name TEXT, supplier_phone TEXT)
CREATE TABLE addresses (address_id DECIMAL, address_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, staff_gender TEXT, staff_name TEXT)
CREATE TABLE supplier_addresses (supplier_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, order_status_code TEXT, order_date TIME)
CREATE TABLE departments (department_id DECIMAL, dept_store_id DECIMAL, department_name TEXT)
CREATE TABLE customer_addresses (customer_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE staff_department_assignments (staff_id DECIMAL, department_id DECIMAL, date_assigned_from TIME, job_title_code TEXT, date_assigned_to TIME)
CREATE TABLE department_stores (dept_store_id DECIMAL, dept_store_chain_id DECIMAL, store_name TEXT, store_address TEXT, store_phone TEXT, store_email TEXT)
CREATE TABLE products (product_id DECIMAL, product_type_code TEXT, product_name TEXT, product_price DECIMAL)
CREATE TABLE product_suppliers (product_id DECIMAL, supplier_id DECIMAL, date_supplied_from TIME, date_supplied_to TIME, total_amount_purchased TEXT, total_value_purchased DECIMAL)
CREATE TABLE customers (customer_id DECIMAL, payment_method_code TEXT, customer_code TEXT, customer_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT)
| What are the distinct names of products purchased by at least two different customers? | SELECT DISTINCT T3.product_name FROM customer_orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id JOIN products AS T3 ON T2.product_id = T3.product_id GROUP BY T3.product_id HAVING COUNT(DISTINCT T1.customer_id) >= 2 | SELECT DISTINCT "T3"."product_name" FROM "customer_orders" AS "T1" JOIN "order_items" AS "T2" ON "T1"."order_id" = "T2"."order_id" JOIN "products" AS "T3" ON "T2"."product_id" = "T3"."product_id" GROUP BY "T3"."product_id" HAVING COUNT(DISTINCT "T1"."customer_id") >= 2 | 0.262695 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the date of death and discharge time of the patient id 94762? | SELECT demographic.dod, demographic.dischtime FROM demographic WHERE demographic.subject_id = "94762" | SELECT "demographic"."dod", "demographic"."dischtime" FROM "demographic" WHERE "94762" = "demographic"."subject_id" | 0.112305 |
CREATE TABLE table_1233026_4 (competition VARCHAR, aggregate VARCHAR)
| What is the competition when aggregate is 1 4? | SELECT competition FROM table_1233026_4 WHERE aggregate = "1–4" | SELECT "competition" FROM "table_1233026_4" WHERE "1–4" = "aggregate" | 0.067383 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
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 departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the sum of salary bin hire_date by time, could you order total number in asc order? | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY SUM("SALARY") NULLS FIRST | 0.236328 |
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 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 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)
| For all employees who have the letters D or S in their first name, find job_id and the average of manager_id , and group by attribute job_id, and visualize them by a bar chart, I want to list in desc by the y axis. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) DESC | SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("MANAGER_ID") DESC NULLS LAST | 0.165039 |
CREATE TABLE table_24320 ("Draw" FLOAT, "Song" TEXT, "Artist" TEXT, "Panel Points" FLOAT, "Televotes" FLOAT, "Televote Points" FLOAT, "Score" FLOAT, "Placing" TEXT)
| Name the total number of televote points for cry on my shoulders | SELECT COUNT("Televote Points") FROM table_24320 WHERE "Song" = 'Cry on my shoulders' | SELECT COUNT("Televote Points") FROM "table_24320" WHERE "Song" = 'Cry on my shoulders' | 0.084961 |
CREATE TABLE table_name_24 (matches VARCHAR, runs VARCHAR, inns VARCHAR)
| Runs smaller than 6106, and Inns smaller than 146 has what total number of matches? | SELECT COUNT(matches) FROM table_name_24 WHERE runs < 6106 AND inns < 146 | SELECT COUNT("matches") FROM "table_name_24" WHERE "inns" < 146 AND "runs" < 6106 | 0.079102 |
CREATE TABLE table_204_64 (id DECIMAL, "place" TEXT, "code" DECIMAL, "area ( km2 ) " DECIMAL, "population" DECIMAL, "most spoken language" TEXT)
| which place is the largest in area and where afrikaans is spoken ? | SELECT "place" FROM table_204_64 WHERE "most spoken language" = 'afrikaans' ORDER BY "area (km2)" DESC LIMIT 1 | SELECT "place" FROM "table_204_64" WHERE "most spoken language" = 'afrikaans' ORDER BY "area (km2)" DESC NULLS LAST LIMIT 1 | 0.120117 |
CREATE TABLE table_62430 ("Rank" TEXT, "Name" TEXT, "Height ft ( m ) " TEXT, "Floors" FLOAT, "Year" FLOAT)
| How many floors are in the building built after 2007, and ranked #10=? | SELECT AVG("Floors") FROM table_62430 WHERE "Rank" = '10=' AND "Year" > '2007' | SELECT AVG("Floors") FROM "table_62430" WHERE "Rank" = '10=' AND "Year" > '2007' | 0.078125 |
CREATE TABLE table_name_42 (grid INT, time_retired VARCHAR, laps VARCHAR)
| Which grid has a time/retired of +3.9 secs in less than 96 laps? | SELECT AVG(grid) FROM table_name_42 WHERE time_retired = "+3.9 secs" AND laps < 96 | SELECT AVG("grid") FROM "table_name_42" WHERE "+3.9 secs" = "time_retired" AND "laps" < 96 | 0.087891 |
CREATE TABLE table_68567 ("Station" TEXT, "Frequency" FLOAT, "Network Affiliation" TEXT, "Format" TEXT, "City of License" TEXT, "Status" TEXT)
| Which city station is owned by Coyote Communications? | SELECT "City of License" FROM table_68567 WHERE "Status" = 'owned by coyote communications' | SELECT "City of License" FROM "table_68567" WHERE "Status" = 'owned by coyote communications' | 0.09082 |
CREATE TABLE table_name_4 (driver VARCHAR, constructor VARCHAR, q1_pos VARCHAR)
| Who is the driver whose car was constructed by Renault and whose Q1 pos is greater than 2? | SELECT driver FROM table_name_4 WHERE constructor = "renault" AND q1_pos > 2 | SELECT "driver" FROM "table_name_4" WHERE "constructor" = "renault" AND "q1_pos" > 2 | 0.082031 |
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE 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 course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
| Is RCNSCI 270 Core ? | SELECT COUNT(*) > 0 FROM course, program, program_course WHERE course.department = 'RCNSCI' AND course.number = 270 AND program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id | SELECT COUNT(*) > 0 FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' JOIN "program" ON "program"."name" LIKE '%CS-LSA%' AND "program"."program_id" = "program_course"."program_id" WHERE "course"."department" = 'RCNSCI' AND "course"."number" = 270 | 0.325195 |
CREATE TABLE table_23670057_7 (current_club VARCHAR, player VARCHAR)
| How many current clubs have the player Aigars Vitols? | SELECT COUNT(current_club) FROM table_23670057_7 WHERE player = "Aigars Vitols" | SELECT COUNT("current_club") FROM "table_23670057_7" WHERE "Aigars Vitols" = "player" | 0.083008 |
CREATE TABLE table_24820 ("Condition" TEXT, "Prothrombin time" TEXT, "Partial thromboplastin time" TEXT, "Bleeding time" TEXT, "Platelet count" TEXT)
| What is the platelet count when partial thromboplastin time and bleeding time are unaffected? | SELECT "Platelet count" FROM table_24820 WHERE "Partial thromboplastin time" = 'Unaffected' AND "Bleeding time" = 'Unaffected' | SELECT "Platelet count" FROM "table_24820" WHERE "Bleeding time" = 'Unaffected' AND "Partial thromboplastin time" = 'Unaffected' | 0.125 |
CREATE TABLE table_31038 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| Who wrote the episode with ip03012 as the production code? | SELECT "Written by" FROM table_31038 WHERE "Production code" = 'IP03012' | SELECT "Written by" FROM "table_31038" WHERE "Production code" = 'IP03012' | 0.072266 |
CREATE TABLE table_14840 ("Country" TEXT, "Film title used in nomination" TEXT, "Language" TEXT, "Original name" TEXT, "Director" TEXT)
| Who is the Director that speaks dutch? | SELECT "Director" FROM table_14840 WHERE "Language" = 'dutch' | SELECT "Director" FROM "table_14840" WHERE "Language" = 'dutch' | 0.061523 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients whose admission type is elective and age is less than 67? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.age < "67" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "67" > "demographic"."age" AND "ELECTIVE" = "demographic"."admission_type" | 0.145508 |
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)
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)
| how many private patients were aged below 89? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.age < "89" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "89" > "demographic"."age" AND "Private" = "demographic"."insurance" | 0.139648 |
CREATE TABLE table_name_2 (win__number VARCHAR, winner VARCHAR)
| How many times did jim vivona win? | SELECT COUNT(win__number) FROM table_name_2 WHERE winner = "jim vivona" | SELECT COUNT("win__number") FROM "table_name_2" WHERE "jim vivona" = "winner" | 0.075195 |
CREATE TABLE table_2902 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| Who directed the episode titled 'Redemptio'? | SELECT "Directed by" FROM table_2902 WHERE "Title" = 'Redemptio' | SELECT "Directed by" FROM "table_2902" WHERE "Title" = 'Redemptio' | 0.064453 |
CREATE TABLE table_11660 ("Game" FLOAT, "Date" TEXT, "Location" TEXT, "Time" TEXT, "Attendance" FLOAT)
| Which is the most recent game with an attendance larger than 65,042? | SELECT MAX("Game") FROM table_11660 WHERE "Attendance" > '65,042' | SELECT MAX("Game") FROM "table_11660" WHERE "Attendance" > '65,042' | 0.06543 |
CREATE TABLE table_name_99 (nationality VARCHAR, player VARCHAR)
| Which Nation does e.j. bradley play for? | SELECT nationality FROM table_name_99 WHERE player = "e.j. bradley" | SELECT "nationality" FROM "table_name_99" WHERE "e.j. bradley" = "player" | 0.071289 |
CREATE TABLE table_name_96 (silver VARCHAR, nation VARCHAR, total VARCHAR, gold VARCHAR, bronze VARCHAR)
| What's the total number of Silver that has Gold that's larger than 0, Bronze that's smaller than 23, a Total that's larger than 22, and has the Nation of Saint Kitts and Nevis? | SELECT COUNT(silver) FROM table_name_96 WHERE gold > 0 AND bronze < 23 AND total > 22 AND nation = "saint kitts and nevis" | SELECT COUNT("silver") FROM "table_name_96" WHERE "bronze" < 23 AND "gold" > 0 AND "nation" = "saint kitts and nevis" AND "total" > 22 | 0.130859 |
CREATE TABLE table_22974 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
| How many millions of people in the US saw the episode with season number 1? | SELECT "U.S. viewers (millions)" FROM table_22974 WHERE "No. in season" = '1' | SELECT "U.S. viewers (millions)" FROM "table_22974" WHERE "No. in season" = '1' | 0.077148 |
CREATE TABLE GRAPES (Grape VARCHAR, Color VARCHAR)
CREATE TABLE WINE (Grape VARCHAR, score VARCHAR)
| Find the the grape whose white color grapes are used to produce wines with scores higher than 90. | SELECT DISTINCT T1.Grape FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "White" AND T2.score > 90 | SELECT DISTINCT "T1"."Grape" FROM "GRAPES" AS "T1" JOIN "WINE" AS "T2" ON "T1"."Grape" = "T2"."Grape" AND "T2"."score" > 90 WHERE "T1"."Color" = "White" | 0.148438 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is drug name and drug route of drug code prismab22k45000? | SELECT prescriptions.drug, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "PRISMAB22K45000" | SELECT "prescriptions"."drug", "prescriptions"."route" FROM "prescriptions" WHERE "PRISMAB22K45000" = "prescriptions"."formulary_drug_cd" | 0.133789 |
CREATE TABLE table_204_978 (id DECIMAL, "position" DECIMAL, "nation" DECIMAL, "number" DECIMAL, "name" TEXT, "soproni liga" DECIMAL, "uefa cup" DECIMAL, "hungarian cup" DECIMAL, "league cup" DECIMAL, "total" DECIMAL)
| tell me a player with the same number of soproni liga goals as szucs ? | SELECT "name" FROM table_204_978 WHERE "name" <> 'istvan szucs' AND "soproni liga" = (SELECT "soproni liga" FROM table_204_978 WHERE "name" = 'istvan szucs') | SELECT "name" FROM "table_204_978" WHERE "name" <> 'istvan szucs' AND "soproni liga" = (SELECT "soproni liga" FROM "table_204_978" WHERE "name" = 'istvan szucs') | 0.157227 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| find the number of male patients who stayed in the hospital for more than 69 days. | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.days_stay = "69" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "69" = "demographic"."days_stay" AND "M" = "demographic"."gender" | 0.119141 |
CREATE TABLE table_name_89 (result VARCHAR, field VARCHAR)
| what is the result from texas stadium? | SELECT result FROM table_name_89 WHERE field = "texas stadium" | SELECT "result" FROM "table_name_89" WHERE "field" = "texas stadium" | 0.066406 |
CREATE TABLE table_78024 ("Code" FLOAT, "Type" TEXT, "Name" TEXT, "Area ( km 2 ) " FLOAT, "Population" FLOAT, "Regional County Municipality" TEXT, "Region" FLOAT)
| What was the region for Malartic with 159.31 km2? | SELECT COUNT("Region") FROM table_78024 WHERE "Name" = 'malartic' AND "Area (km 2 )" < '159.31' | SELECT COUNT("Region") FROM "table_78024" WHERE "Area (km 2 )" < '159.31' AND "Name" = 'malartic' | 0.094727 |
CREATE TABLE table_18752986_1 (home_ground_s_ VARCHAR, nickname VARCHAR)
| With the nickname the swans, what is the home ground? | SELECT home_ground_s_ FROM table_18752986_1 WHERE nickname = "Swans" | SELECT "home_ground_s_" FROM "table_18752986_1" WHERE "Swans" = "nickname" | 0.072266 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Give me the comparison about Team_ID over the All_Neutral by a bar chart. | SELECT All_Neutral, Team_ID FROM basketball_match | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" | 0.053711 |
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
| Create a bar chart showing total number of meter 100 across meter 200, and rank y-axis from high to low order. | SELECT meter_200, SUM(meter_100) FROM swimmer GROUP BY meter_200 ORDER BY SUM(meter_100) DESC | SELECT "meter_200", SUM("meter_100") FROM "swimmer" GROUP BY "meter_200" ORDER BY SUM("meter_100") DESC NULLS LAST | 0.111328 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| give me the number of patients whose diagnoses short title is history of tobacco use and lab test category is blood gas? | 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 = "History of tobacco use" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "History of tobacco use" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.277344 |
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req 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 program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE 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 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)
| Which class is the easiest that can fulfill the MDE requirement ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%MDE%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" AS "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%MDE%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.484375 |
CREATE TABLE table_15187735_20 (episode INT, segment_a VARCHAR)
| What episode number is the episode with a segment on thinning shears? | SELECT MIN(episode) FROM table_15187735_20 WHERE segment_a = "Thinning Shears" | SELECT MIN("episode") FROM "table_15187735_20" WHERE "Thinning Shears" = "segment_a" | 0.082031 |
CREATE TABLE table_12121208_1 (womens_singles VARCHAR, mens_singles VARCHAR)
| Who won the womens singles when Marc Zwiebler won the men's singles? | SELECT womens_singles FROM table_12121208_1 WHERE mens_singles = "Marc Zwiebler" | SELECT "womens_singles" FROM "table_12121208_1" WHERE "Marc Zwiebler" = "mens_singles" | 0.083984 |
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE 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 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)
| Of ASTRO 389 , how many sections are there ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'ASTRO' AND course.number = 389 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'ASTRO' AND "course"."number" = 389 | 0.303711 |
CREATE TABLE table_name_37 (score VARCHAR, date VARCHAR, goal VARCHAR, competition VARCHAR)
| What was the Score where Goal is larger than 11, and a Competition of 2009 nehru cup, and had a Date of 24 august 2009? | SELECT score FROM table_name_37 WHERE goal > 11 AND competition = "2009 nehru cup" AND date = "24 august 2009" | SELECT "score" FROM "table_name_37" WHERE "2009 nehru cup" = "competition" AND "24 august 2009" = "date" AND "goal" > 11 | 0.117188 |
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR, address_type_description VARCHAR)
CREATE TABLE Students_in_Detention (student_id INT, detention_id INT, incident_id INT)
CREATE TABLE Behavior_Incident (incident_id INT, incident_type_code VARCHAR, student_id INT, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR, recommendations VARCHAR, other_details VARCHAR)
CREATE TABLE Students (student_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR, incident_type_description VARCHAR)
CREATE TABLE Teachers (teacher_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, gender VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, other_details VARCHAR)
CREATE TABLE Detention (detention_id INT, detention_type_code VARCHAR, teacher_id INT, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR, other_details VARCHAR)
CREATE TABLE Addresses (address_id INT, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR)
CREATE TABLE Assessment_Notes (notes_id INT, student_id INT, teacher_id INT, date_of_notes DATETIME, text_of_notes VARCHAR, other_details VARCHAR)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR, detention_type_description VARCHAR)
CREATE TABLE Student_Addresses (student_id INT, address_id INT, date_address_from DATETIME, date_address_to DATETIME, monthly_rental DECIMAL, other_details VARCHAR)
| Show me the trend about monthly_rental over date_address_from with a line chart. | SELECT date_address_from, monthly_rental FROM Student_Addresses ORDER BY monthly_rental DESC | SELECT "date_address_from", "monthly_rental" FROM "Student_Addresses" ORDER BY "monthly_rental" DESC NULLS LAST | 0.108398 |
CREATE TABLE tracklists (albumid DECIMAL, position DECIMAL, songid DECIMAL)
CREATE TABLE instruments (songid DECIMAL, bandmateid DECIMAL, instrument TEXT)
CREATE TABLE vocals (songid DECIMAL, bandmate DECIMAL, type TEXT)
CREATE TABLE performance (songid DECIMAL, bandmate DECIMAL, stageposition TEXT)
CREATE TABLE band (id DECIMAL, firstname TEXT, lastname TEXT)
CREATE TABLE songs (songid DECIMAL, title TEXT)
CREATE TABLE albums (aid DECIMAL, title TEXT, year DECIMAL, label TEXT, type TEXT)
| How many vocal types are used in the song 'Le Pop'? | SELECT COUNT(*) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop" | SELECT COUNT(*) FROM "vocals" AS "T1" JOIN "songs" AS "T2" ON "T1"."songid" = "T2"."songid" WHERE "Le Pop" = "title" | 0.113281 |
CREATE TABLE table_60316 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| For which to par was the score 71-74-68=213? | SELECT "To par" FROM table_60316 WHERE "Score" = '71-74-68=213' | SELECT "To par" FROM "table_60316" WHERE "Score" = '71-74-68=213' | 0.063477 |
CREATE TABLE trip (id DECIMAL, duration DECIMAL, start_date TEXT, start_station_name TEXT, start_station_id DECIMAL, end_date TEXT, end_station_name TEXT, end_station_id DECIMAL, bike_id DECIMAL, subscription_type TEXT, zip_code DECIMAL)
CREATE TABLE status (station_id DECIMAL, bikes_available DECIMAL, docks_available DECIMAL, time TEXT)
CREATE TABLE station (id DECIMAL, name TEXT, lat DECIMAL, long DECIMAL, dock_count DECIMAL, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f DECIMAL, mean_temperature_f DECIMAL, min_temperature_f DECIMAL, max_dew_point_f DECIMAL, mean_dew_point_f DECIMAL, min_dew_point_f DECIMAL, max_humidity DECIMAL, mean_humidity DECIMAL, min_humidity DECIMAL, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles DECIMAL, mean_visibility_miles DECIMAL, min_visibility_miles DECIMAL, max_wind_speed_mph DECIMAL, mean_wind_speed_mph DECIMAL, max_gust_speed_mph DECIMAL, precipitation_inches DECIMAL, cloud_cover DECIMAL, events TEXT, wind_dir_degrees DECIMAL, zip_code DECIMAL)
| What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds? | SELECT date, mean_temperature_f, mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 | SELECT "date", "mean_temperature_f", "mean_humidity" FROM "weather" ORDER BY "max_gust_speed_mph" DESC NULLS LAST LIMIT 3 | 0.118164 |
CREATE TABLE table_39930 ("Date" TEXT, "Centerfold model" TEXT, "Interview subject" TEXT, "20 Questions" TEXT, "Pictorials" TEXT)
| Which Pictorials has a 20 Questions of eva longoria? | SELECT "Pictorials" FROM table_39930 WHERE "20 Questions" = 'eva longoria' | SELECT "Pictorials" FROM "table_39930" WHERE "20 Questions" = 'eva longoria' | 0.074219 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
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)
| get me the number of elective hospital admission patients who stayed in hospital for more than 13 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.days_stay > "13" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "13" < "demographic"."days_stay" AND "ELECTIVE" = "demographic"."admission_type" | 0.151367 |
CREATE TABLE table_18524_6 (tourism_receipts__2003___as__percentage_of_exports_ VARCHAR, tourism_competitiveness__2011___ttci_ VARCHAR)
| Name the tourism receipts 2003 for tourism competitiveness 3.26 | SELECT COUNT(tourism_receipts__2003___as__percentage_of_exports_) FROM table_18524_6 WHERE tourism_competitiveness__2011___ttci_ = "3.26" | SELECT COUNT("tourism_receipts__2003___as__percentage_of_exports_") FROM "table_18524_6" WHERE "3.26" = "tourism_competitiveness__2011___ttci_" | 0.139648 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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)
| count the number of times sodium chloride 0.9 % iv solp had been prescribed to patient 010-37499. | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-37499')) AND medication.drugname = 'sodium chloride 0.9 % iv solp' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-37499' 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 COUNT(*) FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'sodium chloride 0.9 % iv solp' AND NOT "_u_1"."" IS NULL | 0.542969 |
CREATE TABLE table_204_243 (id DECIMAL, "year" DECIMAL, "album" TEXT, "song" TEXT, "duration" TEXT, "artist" TEXT)
| how many albums has key produced after 2010 ? | SELECT COUNT("album") FROM table_204_243 WHERE "year" > 2010 | SELECT COUNT("album") FROM "table_204_243" WHERE "year" > 2010 | 0.060547 |
CREATE TABLE table_11630008_7 (series__number VARCHAR, production_code VARCHAR)
| What is the number of series with production code 503? | SELECT COUNT(series__number) FROM table_11630008_7 WHERE production_code = 503 | SELECT COUNT("series__number") FROM "table_11630008_7" WHERE "production_code" = 503 | 0.082031 |
CREATE TABLE table_203_431 (id DECIMAL, "#" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| what team did spain play before they played portugal ? | SELECT "opponent" FROM table_203_431 WHERE "date" < (SELECT "date" FROM table_203_431 WHERE "opponent" = 'portugal') ORDER BY "date" DESC LIMIT 1 | SELECT "opponent" FROM "table_203_431" WHERE "date" < (SELECT "date" FROM "table_203_431" WHERE "opponent" = 'portugal') ORDER BY "date" DESC NULLS LAST LIMIT 1 | 0.15625 |
CREATE TABLE table_12183 ("Draft" TEXT, "Round" TEXT, "Pick" TEXT, "Nationality" TEXT, "Position" TEXT, "College/High School/Club" TEXT)
| What was the pick number for the person from the United States who as drafted to the SF position from North Carolina? | SELECT "Pick" FROM table_12183 WHERE "Nationality" = 'united states' AND "College/High School/Club" = 'north carolina' AND "Position" = 'sf' | SELECT "Pick" FROM "table_12183" WHERE "College/High School/Club" = 'north carolina' AND "Nationality" = 'united states' AND "Position" = 'sf' | 0.138672 |
CREATE TABLE broadcast (program_id VARCHAR, Time_of_day VARCHAR)
CREATE TABLE program (owner VARCHAR, program_id VARCHAR)
| find the program owners that have some programs in both morning and night time. | SELECT t1.owner FROM program AS t1 JOIN broadcast AS t2 ON t1.program_id = t2.program_id WHERE t2.Time_of_day = "Morning" INTERSECT SELECT t1.owner FROM program AS t1 JOIN broadcast AS t2 ON t1.program_id = t2.program_id WHERE t2.Time_of_day = "Night" | SELECT "t1"."owner" FROM "program" AS "t1" JOIN "broadcast" AS "t2" ON "Morning" = "t2"."Time_of_day" AND "t1"."program_id" = "t2"."program_id" INTERSECT SELECT "t1"."owner" FROM "program" AS "t1" JOIN "broadcast" AS "t2" ON "Night" = "t2"."Time_of_day" AND "t1"."program_id" = "t2"."program_id" | 0.288086 |
CREATE TABLE table_name_99 (drawn VARCHAR, tries_for VARCHAR)
| How many resulted in draws with 34 tries for? | SELECT drawn FROM table_name_99 WHERE tries_for = "34" | SELECT "drawn" FROM "table_name_99" WHERE "34" = "tries_for" | 0.058594 |
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE 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)
| Are any PreMajor or MDE courses offered in the Fall term ? | SELECT DISTINCT course.department, course.name, course.number, program_course.category FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND program_course.category IN ('PreMajor', 'MDE') AND program_course.course_id = course.course_id AND semester.semester = 'Fall' AND semester.semester_id = course_offering.semester AND semester.year = 2016 GROUP BY course.department, course.number | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."category" 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" IN ('PreMajor', 'MDE') JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Fall' AND "semester"."year" = 2016 GROUP BY "course"."department", "course"."number" | 0.503906 |
CREATE TABLE table_2043 ("No." FLOAT, "Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT, "Winners share ( $ ) " FLOAT)
| What was the winning score in the Sybase Classic tournament? | SELECT "Winning score" FROM table_2043 WHERE "Tournament" = 'Sybase Classic' | SELECT "Winning score" FROM "table_2043" WHERE "Tournament" = 'Sybase Classic' | 0.076172 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients have 0 death status and are diagnosed with hx-skin malignancy nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Hx-skin malignancy NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx-skin malignancy NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.227539 |
CREATE TABLE table_11385 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Which away team has a Home team score of 10.14 (74)? | SELECT "Away team" FROM table_11385 WHERE "Home team score" = '10.14 (74)' | SELECT "Away team" FROM "table_11385" WHERE "Home team score" = '10.14 (74)' | 0.074219 |
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
| A bar chart for returning the number of the completion date for all the tests that have 'Fail' result, and I want to order in asc by the X. | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" GROUP BY date_of_completion ORDER BY date_of_completion | SELECT "date_of_completion", COUNT("date_of_completion") FROM "Student_Course_Enrolment" AS "T1" JOIN "Student_Tests_Taken" AS "T2" ON "Fail" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" GROUP BY "date_of_completion" ORDER BY "date_of_completion" NULLS FIRST | 0.279297 |
CREATE TABLE table_23862 ("Party" TEXT, "Seats Contested" FLOAT, "Seats Won" FLOAT, "No. of Votes" FLOAT, "% of Votes" TEXT, "% in Seats contested" TEXT, "Seats Forfeited" FLOAT, "2003 Seats" FLOAT)
| How many seats were won, when the seats contested was 48? | SELECT "Seats Won" FROM table_23862 WHERE "Seats Contested" = '48' | SELECT "Seats Won" FROM "table_23862" WHERE "Seats Contested" = '48' | 0.066406 |
CREATE TABLE table_80149 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Language ( s ) " TEXT, "Result" TEXT)
| What is the language of the film Rosie? | SELECT "Language(s)" FROM table_80149 WHERE "Original title" = 'rosie' | SELECT "Language(s)" FROM "table_80149" WHERE "Original title" = 'rosie' | 0.070313 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| count the number of times patient 31880 got a macrophage lab test since 24 months ago. | SELECT COUNT(*) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'macrophage') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31880) AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-24 month') | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'macrophage' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31880 GROUP BY "hadm_id") SELECT COUNT(*) FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime") >= DATETIME(CURRENT_TIME(), '-24 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.523438 |
CREATE TABLE table_67653 ("Player" TEXT, "Country" TEXT, "Caps" FLOAT, "Goals" TEXT, "Years Active" TEXT)
| How many caps did the player Mile Sterjovski have? | SELECT "Caps" FROM table_67653 WHERE "Player" = 'mile sterjovski' | SELECT "Caps" FROM "table_67653" WHERE "Player" = 'mile sterjovski' | 0.06543 |
CREATE TABLE appointment (appointmentid VARCHAR, START VARCHAR)
| Find the id of the appointment with the most recent start date? | SELECT appointmentid FROM appointment ORDER BY START DESC LIMIT 1 | SELECT "appointmentid" FROM "appointment" ORDER BY "START" DESC NULLS LAST LIMIT 1 | 0.080078 |
CREATE TABLE table_73781 ("Song" TEXT, "Singer" TEXT, "Co-Singers" TEXT, "Music Director" TEXT, "Lyricist" TEXT, "Co-Stars" TEXT, "Movie/Album" TEXT, "Year" FLOAT, "Additional Info" TEXT)
| What year did Naushad Direct the Music? | SELECT MAX("Year") FROM table_73781 WHERE "Music Director" = 'Naushad' | SELECT MAX("Year") FROM "table_73781" WHERE "Music Director" = 'Naushad' | 0.070313 |
CREATE TABLE table_name_76 (home_team VARCHAR, venue VARCHAR)
| What was the home teams score when the VFL played Princes Park? | SELECT home_team AS score FROM table_name_76 WHERE venue = "princes park" | SELECT "home_team" AS "score" FROM "table_name_76" WHERE "princes park" = "venue" | 0.079102 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is the number of patients whose ethnicity is black/african american and year of birth is less than 2200? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "2200" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2200" > "demographic"."dob_year" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE table_14963 ("Home" TEXT, "Score" TEXT, "Away" TEXT, "Venue" TEXT, "Golden point ( s ) scorer" TEXT)
| What is the Score of Golden Point(s) scorer Adam Reynolds? | SELECT "Score" FROM table_14963 WHERE "Golden point(s) scorer" = 'adam reynolds' | SELECT "Score" FROM "table_14963" WHERE "Golden point(s) scorer" = 'adam reynolds' | 0.080078 |
CREATE TABLE table_name_66 (no_s_ VARCHAR, school_club_team_country VARCHAR)
| What is the player number for the player from Centenary? | SELECT no_s_ FROM table_name_66 WHERE school_club_team_country = "centenary" | SELECT "no_s_" FROM "table_name_66" WHERE "centenary" = "school_club_team_country" | 0.080078 |
CREATE TABLE table_11391 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| How many laps are associated with a time of + 1:39.591? | SELECT "Laps" FROM table_11391 WHERE "Time/Retired" = '+ 1:39.591' | SELECT "Laps" FROM "table_11391" WHERE "Time/Retired" = '+ 1:39.591' | 0.066406 |
CREATE TABLE table_203_559 (id DECIMAL, "no." DECIMAL, "name" TEXT, "took office" TEXT, "left office" TEXT, "president served under" TEXT, "notable for" TEXT)
| who became commissioner after george p. larrick ? | SELECT "name" FROM table_203_559 WHERE "took office" > (SELECT "took office" FROM table_203_559 WHERE "name" = 'george p. larrick') ORDER BY "took office" LIMIT 1 | SELECT "name" FROM "table_203_559" WHERE "took office" > (SELECT "took office" FROM "table_203_559" WHERE "name" = 'george p. larrick') ORDER BY "took office" NULLS FIRST LIMIT 1 | 0.173828 |
CREATE TABLE table_73030 ("Engine" TEXT, "Production" TEXT, "Transmission" TEXT, "Power" TEXT, "Torque" TEXT, "Acceleration 0\\u2013100km/h ( 0\\u201362mph ) " TEXT, "Top Speed" TEXT)
| What is the top speed of a 5-speed manual transmission produced in 2006-2009? | SELECT "Top Speed" FROM table_73030 WHERE "Production" = '2006-2009' AND "Transmission" = '5-speed manual' | SELECT "Top Speed" FROM "table_73030" WHERE "Production" = '2006-2009' AND "Transmission" = '5-speed manual' | 0.105469 |
CREATE TABLE table_26350 ("equation:" TEXT, "k_{\\\\mathrm{H , pc}} = \\\\frac{p}{c_\\\\mathrm{aq}}" TEXT, "k_{\\\\mathrm{H , cp}} = \\\\frac{c_\\\\mathrm{aq}}{p}" TEXT, "k_{\\\\mathrm{H , px}} = \\\\frac{p}{x}" TEXT, "k_{\\\\mathrm{H , cc}} = \\\\frac{c_{\\\\mathrm{aq}}}{c_{\\\\mathrm{gas}}}" TEXT)
| How many 'k_{\mathrm{h,cc}} = \frac{c_{\mathrm{aq}}}{c_{\mathrm{gas}}}i if its 'k_{\mathrm{h,px}} = \frac{p}{x}' is 14.97 10? | SELECT COUNT("k_{\\mathrm{H,cc}} = \\frac{c_{\\mathrm{aq}}}{c_{\\mathrm{gas}}}") FROM table_26350 WHERE "k_{\\mathrm{H,px}} = \\frac{p}{x}" = '14.97 × 10' | SELECT COUNT("k_{\\mathrm{H,cc}} = \\frac{c_{\\mathrm{aq}}}{c_{\\mathrm{gas}}}") FROM "table_26350" WHERE "k_{\\mathrm{H,px}} = \\frac{p}{x}" = '14.97 × 10' | 0.152344 |
CREATE TABLE table_name_59 (overall VARCHAR, position VARCHAR, pick VARCHAR)
| What is the total overall number of the ot position player with a pick greater than 5? | SELECT COUNT(overall) FROM table_name_59 WHERE position = "ot" AND pick > 5 | SELECT COUNT("overall") FROM "table_name_59" WHERE "ot" = "position" AND "pick" > 5 | 0.081055 |
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