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CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| DALLAS to HOUSTON after 1201am | 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, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'HOUSTON' AND flight.departure_time > 1 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" > 1 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'HOUSTON' | 0.514648 |
CREATE TABLE table_70772 ("Year" FLOAT, "Points" CLOB, "Rebounds" CLOB, "Assists" CLOB, "Steals" CLOB, "Blocks" CLOB)
| What was the 1st Year Al Harrington (9) the leader in Rebounds? | SELECT MIN("Year") FROM table_70772 WHERE "Rebounds" = 'al harrington (9)' | SELECT MIN("Year") FROM "table_70772" WHERE "Rebounds" = 'al harrington (9)' | 0.074219 |
CREATE TABLE table_45332 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is Date, when Week is 11? | SELECT "Date" FROM table_45332 WHERE "Week" = '11' | SELECT "Date" FROM "table_45332" WHERE "Week" = '11' | 0.050781 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients whose marital status is single and lab test name is potassium, whole blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Potassium, Whole Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Potassium, Whole Blood" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.211914 |
CREATE TABLE table_56107 ("Week" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Kickoff [a ]" CLOB, "Game site" CLOB, "Attendance" CLOB, "Record" CLOB)
| Which week has a record of 5-7-1? | SELECT "Week" FROM table_56107 WHERE "Record" = '5-7-1' | SELECT "Week" FROM "table_56107" WHERE "Record" = '5-7-1' | 0.055664 |
CREATE TABLE table_27615520_1 (form_factor VARCHAR2, bandwidth__gb_s_ VARCHAR2)
| What is the shape distortion for the range frequency of 10? | SELECT form_factor FROM table_27615520_1 WHERE bandwidth__gb_s_ = "10" | SELECT "form_factor" FROM "table_27615520_1" WHERE "10" = "bandwidth__gb_s_" | 0.074219 |
CREATE TABLE table_50650 ("Official Name" CLOB, "Status" CLOB, "Area km 2" FLOAT, "Population" FLOAT, "Census Ranking" CLOB)
| What is the sum of the areas for populations of 542? | SELECT SUM("Area km 2") FROM table_50650 WHERE "Population" = '542' | SELECT SUM("Area km 2") FROM "table_50650" WHERE "Population" = '542' | 0.067383 |
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE customer_payments (customer_id NUMBER, datetime_payment TIME, payment_method_code CLOB, amount_payment NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_address_id NUMBER, nickname CLOB, first_name CLOB, middle_name CLOB, last_name CLOB, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
CREATE TABLE customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code CLOB, date_became_customer TIME, date_of_birth TIME, first_name CLOB, last_name CLOB, amount_outstanding NUMBER, email_address CLOB, phone_number CLOB, cell_mobile_phone_number CLOB)
CREATE TABLE vehicles (vehicle_id NUMBER, vehicle_details CLOB)
CREATE TABLE lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code CLOB, staff_id NUMBER, vehicle_id NUMBER, lesson_date TIME, lesson_time CLOB, price NUMBER)
| What is the status code with the least number of customers? | SELECT customer_status_code FROM customers GROUP BY customer_status_code ORDER BY COUNT(*) LIMIT 1 | SELECT "customer_status_code" FROM "customers" GROUP BY "customer_status_code" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.117188 |
CREATE TABLE table_64539 ("Rank" CLOB, "Group" CLOB, "Name" CLOB, "Nationality" CLOB, "Mark" CLOB)
| What rank has a mark of NM and is from India? | SELECT "Rank" FROM table_64539 WHERE "Mark" = 'nm' AND "Nationality" = 'india' | SELECT "Rank" FROM "table_64539" WHERE "Mark" = 'nm' AND "Nationality" = 'india' | 0.078125 |
CREATE TABLE table_20518 ("RR Romaja" CLOB, "M\\u2013R Romaja" CLOB, "Hangul/Chosongul" CLOB, "Hanja" CLOB, "ISO" CLOB, "Area" CLOB, "Capital" CLOB, "Region" CLOB, "Country" CLOB)
| Name the number of region for | SELECT COUNT("Region") FROM table_20518 WHERE "Hangul/Chosongul" = '경상남도' | SELECT COUNT("Region") FROM "table_20518" WHERE "Hangul/Chosongul" = '경상남도' | 0.073242 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose procedure icd9 code is 3806? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "3806" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3806" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.171875 |
CREATE TABLE table_69509 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| Name the loss with record of 38-53 | SELECT "Loss" FROM table_69509 WHERE "Record" = '38-53' | SELECT "Loss" FROM "table_69509" WHERE "Record" = '38-53' | 0.055664 |
CREATE TABLE Finances (Finance_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Channels (Channel_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Assets_in_Events (Asset_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Parties_in_Events (Party_ID NUMBER, Event_ID NUMBER, Role_Code CHAR)
CREATE TABLE Agreements (Document_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Parties (Party_ID NUMBER, Party_Details VARCHAR2)
CREATE TABLE Products_in_Events (Product_in_Event_ID NUMBER, Event_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Locations (Location_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID NUMBER, Product_Type_Code CHAR, Product_Name VARCHAR2, Product_Price NUMBER)
CREATE TABLE Addresses (Address_ID NUMBER, address_details VARCHAR2)
CREATE TABLE Events (Event_ID NUMBER, Address_ID NUMBER, Channel_ID NUMBER, Event_Type_Code CHAR, Finance_ID NUMBER, Location_ID NUMBER)
CREATE TABLE Assets (Asset_ID NUMBER, Other_Details VARCHAR2)
| Show the names of products and the number of events they are in by a bar chart, display from high to low by the x axis. | SELECT Product_Name, COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY Product_Name DESC | SELECT "Product_Name", COUNT(*) FROM "Products" "T1" JOIN "Products_in_Events" "T2" ON "T1"."Product_ID" = "T2"."Product_ID" GROUP BY "T1"."Product_Name" ORDER BY "Product_Name" DESC | 0.177734 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how many patients were diagnosed with s/p surgery for intestinal obstruction and did not come back to the hospital within 2 months? | SELECT (SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p surgery for intestinal obstruction') AS t1) - (SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p surgery for intestinal obstruction') AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid WHERE t2.diagnosistime < patient.hospitaladmittime AND DATETIME(patient.hospitaladmittime) BETWEEN DATETIME(t2.diagnosistime) AND DATETIME(t2.diagnosistime, '+2 month')) | SELECT (SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 's/p surgery for intestinal obstruction') - (SELECT COUNT(DISTINCT "patient_2"."uniquepid") FROM "diagnosis" JOIN "patient" "patient_2" ON "diagnosis"."patientunitstayid" = "patient_2"."patientunitstayid" JOIN "patient" ON "diagnosis"."diagnosistime" < "patient"."hospitaladmittime" AND "patient"."uniquepid" = "patient_2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("patient"."hospitaladmittime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("patient"."hospitaladmittime") WHERE "diagnosis"."diagnosisname" = 's/p surgery for intestinal obstruction') | 0.763672 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose diagnoses short title is hx-rectal & anal malign 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 = "Hx-rectal & anal malign" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx-rectal & anal malign" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.27832 |
CREATE TABLE table_204_475 (id NUMBER, "home team" CLOB, "score" CLOB, "away team" CLOB, "date" CLOB, "agg" CLOB)
| what home team has the most points scored ? | SELECT "home team" FROM table_204_475 ORDER BY "score" DESC LIMIT 1 | SELECT "home team" FROM "table_204_475" ORDER BY "score" DESC FETCH FIRST 1 ROWS ONLY | 0.083008 |
CREATE TABLE table_20217811_1 (electorate VARCHAR2, united_future VARCHAR2)
| Name the electoraate for united future being 4.47% | SELECT electorate FROM table_20217811_1 WHERE united_future = "4.47%" | SELECT "electorate" FROM "table_20217811_1" WHERE "4.47%" = "united_future" | 0.073242 |
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Data about a tag synonym. Related to the question: https://meta.stackexchange.com/questions/341965/what-does-the-column-created-in-the-list-of-tag-synonyms-mean | SELECT SourceTagName, TargetTagName, CreationDate, ApprovalDate, OwnerUserId AS "user_link", ApprovedByUserId AS "user_link", Score, AutoRenameCount, LastAutoRename FROM TagSynonyms WHERE SourceTagName = '##tagname?holomorphic-functions##' | SELECT "SourceTagName", "TargetTagName", "CreationDate", "ApprovalDate", "OwnerUserId" AS "user_link", "ApprovedByUserId" AS "user_link", "Score", "AutoRenameCount", "LastAutoRename" FROM "TagSynonyms" WHERE "SourceTagName" = '##tagname?holomorphic-functions##' | 0.254883 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| how many times has cultures - csf procedure been performed since 5 years ago? | SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'cultures - csf' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-5 year') | SELECT COUNT(*) FROM "treatment" WHERE "treatment"."treatmentname" = 'cultures - csf' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-5 year') | 0.162109 |
CREATE TABLE table_72698 ("Date" CLOB, "Cover model" CLOB, "Centerfold model" CLOB, "Interview subject" CLOB, "20 Questions" CLOB, "Pictorials" CLOB)
| Who was the cover model when the issue's pictorials was pmoy - sara jean underwood? | SELECT "Cover model" FROM table_72698 WHERE "Pictorials" = 'PMOY - Sara Jean Underwood' | SELECT "Cover model" FROM "table_72698" WHERE "Pictorials" = 'PMOY - Sara Jean Underwood' | 0.086914 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
CREATE TABLE table_74103 ("Status" CLOB, "2001 number ( , 000 ) " FLOAT, "2001 %" CLOB, "2011 number ( , 000 ) " FLOAT, "2011 %" CLOB)
| What is the lowest 2011 number (,000)? | SELECT MIN("2011 number (,000)") FROM table_74103 | SELECT MIN("2011 number (,000)") FROM "table_74103" | 0.049805 |
CREATE TABLE table_14345 ("Round" FLOAT, "Race Title" CLOB, "Grand Prix" CLOB, "Circuit" CLOB, "Date" CLOB)
| What is the smallest round with a Grand Prix of indian gp? | SELECT MIN("Round") FROM table_14345 WHERE "Grand Prix" = 'indian gp' | SELECT MIN("Round") FROM "table_14345" WHERE "Grand Prix" = 'indian gp' | 0.069336 |
CREATE TABLE table_name_13 (released VARCHAR2, series_sorted VARCHAR2)
| What was the date of release for the episode sorted value of 6Y/AA? | SELECT released FROM table_name_13 WHERE series_sorted = "6y/aa" | SELECT "released" FROM "table_name_13" WHERE "6y/aa" = "series_sorted" | 0.068359 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose age is less than 45 and drug route is ih? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "45" AND prescriptions.route = "IH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IH" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "45" > "demographic"."age" | 0.207031 |
CREATE TABLE table_58766 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " FLOAT)
| What is the average money for a to par of 15, and is from the United States? | SELECT AVG("Money ( $ )") FROM table_58766 WHERE "To par" = '15' AND "Country" = 'united states' | SELECT AVG("Money ( $ )") FROM "table_58766" WHERE "Country" = 'united states' AND "To par" = '15' | 0.095703 |
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| For NAVARCH 570 and 620 what are the prerequisites ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE (COURSE_1.number = 570 OR COURSE_1.number = 620) AND COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'NAVARCH' | SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'NAVARCH' AND ("COURSE_1"."number" = 570 OR "COURSE_1"."number" = 620) | 0.375977 |
CREATE TABLE table_204_89 (id NUMBER, "team" CLOB, "truck ( s ) " CLOB, "#" NUMBER, "driver ( s ) " CLOB, "primary sponsor ( s ) " CLOB, "listed owner ( s ) " CLOB, "crew chief" CLOB)
| how many teams have ford f-150 as their trucks ? | SELECT COUNT("team") FROM table_204_89 WHERE "truck(s)" = 'ford f-150' | SELECT COUNT("team") FROM "table_204_89" WHERE "truck(s)" = 'ford f-150' | 0.070313 |
CREATE TABLE table_14035132_3 (directed_by VARCHAR2, written_by VARCHAR2)
| How many episodes have been directed and written by Darrick Bachman and Brett Varon? | SELECT COUNT(directed_by) FROM table_14035132_3 WHERE written_by = "Darrick Bachman and Brett Varon" | SELECT COUNT("directed_by") FROM "table_14035132_3" WHERE "Darrick Bachman and Brett Varon" = "written_by" | 0.103516 |
CREATE TABLE table_name_24 (record VARCHAR2, location VARCHAR2, date VARCHAR2)
| What is Record, when Location is 'Boston Garden', and when Date is 'Fri. Nov. 9'? | SELECT record FROM table_name_24 WHERE location = "boston garden" AND date = "fri. nov. 9" | SELECT "record" FROM "table_name_24" WHERE "boston garden" = "location" AND "date" = "fri. nov. 9" | 0.095703 |
CREATE TABLE table_203_258 (id NUMBER, "year" NUMBER, "team" CLOB, "games" NUMBER, "combined tackles" NUMBER, "tackles" NUMBER, "assisted tackles" NUMBER, "sacks" NUMBER, "forced fumbles" NUMBER, "fumble recoveries" NUMBER, "fumble return yards" NUMBER, "interceptions" NUMBER, "interception return yards" NUMBER, "yards per interception return" NUMBER, "longest interception return" NUMBER, "interceptions returned for touchdown" NUMBER, "passes defended" NUMBER)
| how many touchdowns ? | SELECT SUM("interceptions returned for touchdown") FROM table_203_258 | SELECT SUM("interceptions returned for touchdown") FROM "table_203_258" | 0.069336 |
CREATE TABLE table_61238 ("Position" CLOB, "Driver" CLOB, "Entrant" CLOB, "Class" CLOB, "Laps" FLOAT)
| Can you tell me the Position that has the Driver of bib stillwell? | SELECT "Position" FROM table_61238 WHERE "Driver" = 'bib stillwell' | SELECT "Position" FROM "table_61238" WHERE "Driver" = 'bib stillwell' | 0.067383 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose age is less than 24 and item id is 50915? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "24" AND lab.itemid = "50915" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50915" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "24" > "demographic"."age" | 0.181641 |
CREATE TABLE table_11805 ("Race" CLOB, "Circuit" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Report" CLOB)
| What circuit did Juan Manuel Fangio have the fastest lap at the german grand prix? | SELECT "Circuit" FROM table_11805 WHERE "Fastest lap" = 'juan manuel fangio' AND "Race" = 'german grand prix' | SELECT "Circuit" FROM "table_11805" WHERE "Fastest lap" = 'juan manuel fangio' AND "Race" = 'german grand prix' | 0.108398 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how much levothyroxine sodium dose has been prescribed to patient 5887 last month? | SELECT SUM(prescriptions.dose_val_rx) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5887) AND prescriptions.drug = 'levothyroxine sodium' AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5887 GROUP BY "hadm_id") SELECT SUM("prescriptions"."dose_val_rx") FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'levothyroxine sodium' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL | 0.436523 |
CREATE TABLE table_name_75 (loss VARCHAR2, record VARCHAR2)
| Which Loss has a Record of 20 16 9? | SELECT loss FROM table_name_75 WHERE record = "20–16–9" | SELECT "loss" FROM "table_name_75" WHERE "20–16–9" = "record" | 0.05957 |
CREATE TABLE table_56063 ("Round" CLOB, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Attendance" FLOAT, "Report" CLOB)
| On what Date was the Opponent Panathinaikos? | SELECT "Date" FROM table_56063 WHERE "Opponent" = 'panathinaikos' | SELECT "Date" FROM "table_56063" WHERE "Opponent" = 'panathinaikos' | 0.06543 |
CREATE TABLE table_28138035_27 (mens_singles VARCHAR2, womens_doubles VARCHAR2)
| Who is listed under mens singles when womens has wang nan zhang yining? | SELECT mens_singles FROM table_28138035_27 WHERE womens_doubles = "Wang Nan Zhang Yining" | SELECT "mens_singles" FROM "table_28138035_27" WHERE "Wang Nan Zhang Yining" = "womens_doubles" | 0.092773 |
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| show me a list of flights on 7 22 leaving WASHINGTON to DALLAS leaving WASHINGTON after 1800 | 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 ((date_day.day_number = 22 AND date_day.month_number = 7 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time > 1800 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 7 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" > 1800 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.731445 |
CREATE TABLE table_24270 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Derik Fury plays for which college? | SELECT "College" FROM table_24270 WHERE "Player" = 'Derik Fury' | SELECT "College" FROM "table_24270" WHERE "Player" = 'Derik Fury' | 0.063477 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the ingesting method of clonidine? | SELECT DISTINCT medication.routeadmin FROM medication WHERE medication.drugname = 'clonidine' | SELECT DISTINCT "medication"."routeadmin" FROM "medication" WHERE "medication"."drugname" = 'clonidine' | 0.100586 |
CREATE TABLE table_11527 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What position does tim barnett play? | SELECT "Position" FROM table_11527 WHERE "Player" = 'tim barnett' | SELECT "Position" FROM "table_11527" WHERE "Player" = 'tim barnett' | 0.06543 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| Calculate the average age of patients who were admitted in or after 2150 and are 41 years or older. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.age >= "41" AND demographic.admityear >= "2150" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2150" <= "demographic"."admityear" AND "41" <= "demographic"."age" | 0.121094 |
CREATE TABLE table_24555 ("Municipality" CLOB, "Type" CLOB, "District" CLOB, "Area ( km\\u00b2 ) " CLOB, "Population ( 2010 ) " FLOAT, "Pop. Density ( per km\\u00b2 ) " CLOB, "No. of Barangays" FLOAT, "Municipal Mayor" CLOB)
| In what municipality were there 757.5 people per km2? | SELECT "Municipality" FROM table_24555 WHERE "Pop. Density (per km\u00b2)" = '757.5' | SELECT "Municipality" FROM "table_24555" WHERE "Pop. Density (per km\u00b2)" = '757.5' | 0.083984 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| calculate the one year survival rate among the patients who were prescribed with propofol 10 mg/ml after having been diagnosed with swollen extremity, etiology unknown - r/o cellulitis. | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 1 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'swollen extremity, etiology unknown - r/o cellulitis' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1) AS t2 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'propofol 10 mg/ml') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.diagnosistime < t3.drugstarttime) AS t4 JOIN patient ON t4.uniquepid = patient.uniquepid | WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'swollen extremity, etiology unknown - r/o cellulitis' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")), "t3" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = 'propofol 10 mg/ml') SELECT SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 365 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "t3" "t3" ON "t1"."diagnosistime" < "t3"."drugstarttime" AND "t1"."uniquepid" = "t3"."uniquepid" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" | 0.959961 |
CREATE TABLE table_204_10 (id NUMBER, "ecclesiastical jurisdictions" CLOB, "latin name" CLOB, "type" CLOB, "rite" CLOB, "ecclesiastical province" CLOB, "established" CLOB, "area ( km2 ) " NUMBER)
| which diocese has the largest area under its jurisdiction ? | SELECT "ecclesiastical jurisdictions" FROM table_204_10 ORDER BY "area (km2)" DESC LIMIT 1 | SELECT "ecclesiastical jurisdictions" FROM "table_204_10" ORDER BY "area (km2)" DESC FETCH FIRST 1 ROWS ONLY | 0.105469 |
CREATE TABLE table_76139 ("Rank" FLOAT, "Name" CLOB, "Years" CLOB, "Matches" FLOAT, "Goals" FLOAT, "Goals/Matches" FLOAT)
| What years have goals less than 229, and 440 as matches? | SELECT "Years" FROM table_76139 WHERE "Goals" < '229' AND "Matches" = '440' | SELECT "Years" FROM "table_76139" WHERE "Goals" < '229' AND "Matches" = '440' | 0.075195 |
CREATE TABLE table_22780 ("Name" CLOB, "Home or representative town or province" CLOB, "Age" FLOAT, "Edition" CLOB, "Total days in PBB House" FLOAT, "Duration" CLOB, "Status" CLOB)
| When days 1-86 is the duration how many names are there? | SELECT COUNT("Name") FROM table_22780 WHERE "Duration" = 'Days 1-86' | SELECT COUNT("Name") FROM "table_22780" WHERE "Duration" = 'Days 1-86' | 0.068359 |
CREATE TABLE department (departmentid NUMBER, name CLOB, head NUMBER)
CREATE TABLE stay (stayid NUMBER, patient NUMBER, room NUMBER, staystart TIME, stayend TIME)
CREATE TABLE procedures (code NUMBER, name CLOB, cost NUMBER)
CREATE TABLE undergoes (patient NUMBER, procedures NUMBER, stay NUMBER, dateundergoes TIME, physician NUMBER, assistingnurse NUMBER)
CREATE TABLE appointment (appointmentid NUMBER, patient NUMBER, prepnurse NUMBER, physician NUMBER, start TIME, end TIME, examinationroom CLOB)
CREATE TABLE medication (code NUMBER, name CLOB, brand CLOB, description CLOB)
CREATE TABLE affiliated_with (physician NUMBER, department NUMBER, primaryaffiliation BOOLEAN)
CREATE TABLE patient (ssn NUMBER, name CLOB, address CLOB, phone CLOB, insuranceid NUMBER, pcp NUMBER)
CREATE TABLE on_call (nurse NUMBER, blockfloor NUMBER, blockcode NUMBER, oncallstart TIME, oncallend TIME)
CREATE TABLE prescribes (physician NUMBER, patient NUMBER, medication NUMBER, date TIME, appointment NUMBER, dose CLOB)
CREATE TABLE physician (employeeid NUMBER, name CLOB, position CLOB, ssn NUMBER)
CREATE TABLE block (blockfloor NUMBER, blockcode NUMBER)
CREATE TABLE nurse (employeeid NUMBER, name CLOB, position CLOB, registered BOOLEAN, ssn NUMBER)
CREATE TABLE room (roomnumber NUMBER, roomtype CLOB, blockfloor NUMBER, blockcode NUMBER, unavailable BOOLEAN)
CREATE TABLE trained_in (physician NUMBER, treatment NUMBER, certificationdate TIME, certificationexpires TIME)
| Which patient is undergoing the most recent treatment? | SELECT patient FROM undergoes ORDER BY dateundergoes LIMIT 1 | SELECT "patient" FROM "undergoes" ORDER BY "dateundergoes" FETCH FIRST 1 ROWS ONLY | 0.080078 |
CREATE TABLE table_29626583_3 (pick__number NUMBER, mls_team VARCHAR2, affiliation VARCHAR2)
| What is the pick number for the team toronto fc and affiliation is ldu quito? | SELECT MAX(pick__number) FROM table_29626583_3 WHERE mls_team = "Toronto FC" AND affiliation = "LDU Quito" | SELECT MAX("pick__number") FROM "table_29626583_3" WHERE "LDU Quito" = "affiliation" AND "Toronto FC" = "mls_team" | 0.111328 |
CREATE TABLE table_49864 ("Date" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Venue" CLOB, "Box Score" CLOB, "Report" CLOB)
| On what date was the score 121-113? | SELECT "Date" FROM table_49864 WHERE "Score" = '121-113' | SELECT "Date" FROM "table_49864" WHERE "Score" = '121-113' | 0.056641 |
CREATE TABLE table_57840 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| When did the away team score 17.11 (113)? | SELECT "Date" FROM table_57840 WHERE "Away team score" = '17.11 (113)' | SELECT "Date" FROM "table_57840" WHERE "Away team score" = '17.11 (113)' | 0.070313 |
CREATE TABLE table_35795 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| What is the lowest against value with less than 2 draws, 10 points, and less than 4 lost? | SELECT MIN("Against") FROM table_35795 WHERE "Drawn" < '2' AND "Points" = '10' AND "Lost" < '4' | SELECT MIN("Against") FROM "table_35795" WHERE "Drawn" < '2' AND "Lost" < '4' AND "Points" = '10' | 0.094727 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when was patient 14203's respiratory rate the first time measured greater than 16.0 on the first intensive care unit visit? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14203) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respiratory rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 16.0 ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14203 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'respiratory rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 16.0 AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.848633 |
CREATE TABLE table_name_70 (club_team VARCHAR2, overall VARCHAR2)
| What club team has 216 overall? | SELECT club_team FROM table_name_70 WHERE overall = 216 | SELECT "club_team" FROM "table_name_70" WHERE "overall" = 216 | 0.05957 |
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
| Draw a bar chart for how many people are under 40 for each gender?, and rank in desc by the x-axis. | SELECT gender, COUNT(*) FROM Person WHERE age < 40 GROUP BY gender ORDER BY gender DESC | SELECT "gender", COUNT(*) FROM "Person" WHERE "age" < 40 GROUP BY "gender" ORDER BY "gender" DESC | 0.094727 |
CREATE TABLE table_name_93 (opponent VARCHAR2, date VARCHAR2)
| What opponent did the Broncos play on November 16? | SELECT opponent FROM table_name_93 WHERE date = "november 16" | SELECT "opponent" FROM "table_name_93" WHERE "date" = "november 16" | 0.06543 |
CREATE TABLE table_name_38 (official_name VARCHAR2, area_km_2 VARCHAR2)
| With an area km 2 of 343.95 what is the official name? | SELECT official_name FROM table_name_38 WHERE area_km_2 = 343.95 | SELECT "official_name" FROM "table_name_38" WHERE "area_km_2" = 343.95 | 0.068359 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| when was patient 027-151154 first given an intake on this month/30? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-151154')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '30' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-151154' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '30' ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY | 0.795898 |
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| What is the 3 most common cloud cover rates in the region of zip code 94107? | SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT(*) DESC LIMIT 3 | SELECT "cloud_cover" FROM "weather" WHERE "zip_code" = 94107 GROUP BY "cloud_cover" ORDER BY COUNT(*) DESC FETCH FIRST 3 ROWS ONLY | 0.126953 |
CREATE TABLE table_68874 ("Year" FLOAT, "Chassis" CLOB, "Engine" CLOB, "Start" CLOB, "Finish" CLOB)
| Name the start for year less than 1977 | SELECT "Start" FROM table_68874 WHERE "Year" < '1977' | SELECT "Start" FROM "table_68874" WHERE "Year" < '1977' | 0.053711 |
CREATE TABLE table_43089 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Giants' points" CLOB, "Opponents' Points" CLOB, "Record" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| What was the TV time for the game where the Giants had 14 points? | SELECT "TV Time" FROM table_43089 WHERE "Giants' points" = '14' | SELECT "TV Time" FROM "table_43089" WHERE "Giants' points" = '14' | 0.063477 |
CREATE TABLE table_dev_41 ("id" NUMBER, "gender" CLOB, "serum_potassium" FLOAT, "systolic_blood_pressure_sbp" NUMBER, "serum_bicarbonate" NUMBER, "renal_disease" BOOLEAN, "temperature" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "liver_disease" BOOLEAN, "hdl" NUMBER, "serum_sodium_concentration" NUMBER, "heart_rate" NUMBER, "serum_creatinine" FLOAT, "kidney_disease" BOOLEAN, "hypertension" BOOLEAN, "uncontrolled_blood_pressure" BOOLEAN, "unstable_vitals_signs" BOOLEAN, "NOUSE" FLOAT)
| chronic kidney disease, serum creatinine > 2 mg / dl, chronic liver disease, or uncontrolled hypertension | SELECT * FROM table_dev_41 WHERE kidney_disease = 1 OR serum_creatinine > 2 OR liver_disease = 1 OR hypertension = 1 | SELECT * FROM "table_dev_41" WHERE "hypertension" = 1 OR "kidney_disease" = 1 OR "liver_disease" = 1 OR "serum_creatinine" > 2 | 0.123047 |
CREATE TABLE table_name_7 (total__kg_ NUMBER, snatch VARCHAR2, bodyweight VARCHAR2)
| What is the total for the player with more snatches than 87.5 and bodyweight more than 74.8? | SELECT AVG(total__kg_) FROM table_name_7 WHERE snatch > 87.5 AND bodyweight > 74.8 | SELECT AVG("total__kg_") FROM "table_name_7" WHERE "bodyweight" > 74.8 AND "snatch" > 87.5 | 0.087891 |
CREATE TABLE table_17728 ("Ship" CLOB, "Builder" CLOB, "Namesake" CLOB, "Renamed" CLOB, "Laid down" FLOAT, "Launched" CLOB, "Commissioned or completed ( * ) " CLOB)
| What is the namesake of the ship that was commissioned or completed(*) 16 april 1864? | SELECT "Namesake" FROM table_17728 WHERE "Commissioned or completed(*)" = '16 April 1864' | SELECT "Namesake" FROM "table_17728" WHERE "Commissioned or completed(*)" = '16 April 1864' | 0.088867 |
CREATE TABLE table_204_29 (id NUMBER, "rank" NUMBER, "lane" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB, "notes" CLOB)
| what is the total number of names ? | SELECT COUNT("name") FROM table_204_29 | SELECT COUNT("name") FROM "table_204_29" | 0.039063 |
CREATE TABLE table_51142 ("2004/ 05" CLOB, "2007/ 08" CLOB, "2010/ 11" CLOB, "2011/ 12" CLOB, "2012/ 13" CLOB)
| What is the 2012/ 13 when the 2011/ 12 is non-ranking? | SELECT "2012/ 13" FROM table_51142 WHERE "2011/ 12" = 'non-ranking' | SELECT "2012/ 13" FROM "table_51142" WHERE "2011/ 12" = 'non-ranking' | 0.067383 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| please show me early morning flights from ATLANTA to PHILADELPHIA on wednesday | 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 = 'PHILADELPHIA' AND date_day.day_number = 23 AND date_day.month_number = 4 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 = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 800 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.768555 |
CREATE TABLE table_name_51 (mascot VARCHAR2, school VARCHAR2)
| What is North Valleys School Mascot? | SELECT mascot FROM table_name_51 WHERE school = "north valleys" | SELECT "mascot" FROM "table_name_51" WHERE "north valleys" = "school" | 0.067383 |
CREATE TABLE film (film_id NUMBER, title CLOB, studio CLOB, director CLOB, gross_in_dollar NUMBER)
CREATE TABLE market (market_id NUMBER, country CLOB, number_cities NUMBER)
CREATE TABLE film_market_estimation (estimation_id NUMBER, low_estimate NUMBER, high_estimate NUMBER, film_id NUMBER, type CLOB, market_id NUMBER, year NUMBER)
| Show the distinct director of films with market estimation in the year of 1995. | SELECT DISTINCT T1.director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.film_id = T2.film_id WHERE T2.year = 1995 | SELECT DISTINCT "T1"."director" FROM "film" "T1" JOIN "film_market_estimation" "T2" ON "T1"."film_id" = "T2"."film_id" AND "T2"."year" = 1995 | 0.137695 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients are primarily diagnosed for coronary artery disease or coronary artery bypass graft with mvr maze and died in or before 2179.0? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND demographic.dod_year <= "2179.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2179.0" >= "demographic"."dod_year" AND "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" = "demographic"."diagnosis" | 0.209961 |
CREATE TABLE table_name_90 (location__numbersites__global_local_ VARCHAR2, software VARCHAR2, ipv6_address VARCHAR2)
| What is the location for the software of BIND and an IPv6 address of 2001:503:c27::2:30? | SELECT location__numbersites__global_local_ FROM table_name_90 WHERE software = "bind" AND ipv6_address = "2001:503:c27::2:30" | SELECT "location__numbersites__global_local_" FROM "table_name_90" WHERE "2001:503:c27::2:30" = "ipv6_address" AND "bind" = "software" | 0.130859 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| 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" "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" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.478516 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Compare the prices of each manufacturer's most expensive product with a bar chart, and could you order x-axis in descending order? | SELECT T2.Name, MAX(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY Name DESC | SELECT "T2"."Name", MAX("T1"."Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "Name" DESC | 0.15918 |
CREATE TABLE table_26790 ("Contestant" CLOB, "Starting Weight ( kg ) " CLOB, "Final Weight ( kg ) " CLOB, "Weight Lost ( kg ) " CLOB, "Percentage Lost" CLOB, "Position ( out of Eliminated Contestants ) " CLOB)
| What is the starting weight if weight lost is 54.6? | SELECT "Starting Weight (kg)" FROM table_26790 WHERE "Weight Lost (kg)" = '54.6' | SELECT "Starting Weight (kg)" FROM "table_26790" WHERE "Weight Lost (kg)" = '54.6' | 0.080078 |
CREATE TABLE lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE dorm_amenity (amenid NUMBER, amenity_name CLOB)
CREATE TABLE has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE dorm (dormid NUMBER, dorm_name CLOB, student_capacity NUMBER, gender CLOB)
| What is the total student capacity of all dorms? | SELECT SUM(student_capacity) FROM dorm | SELECT SUM("student_capacity") FROM "dorm" | 0.041016 |
CREATE TABLE table_57362 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed By" CLOB, "Written By" CLOB, "Original air date" CLOB)
| What is the total number in the season for the #30 Robert Berlinger series? | SELECT COUNT("No. in season") FROM table_57362 WHERE "Directed By" = 'robert berlinger' AND "No. in series" = '30' | SELECT COUNT("No. in season") FROM "table_57362" WHERE "Directed By" = 'robert berlinger' AND "No. in series" = '30' | 0.113281 |
CREATE TABLE table_12792876_3 (losing_bonus VARCHAR2, points_against VARCHAR2)
| What was the losing bonus when the points against was 445? | SELECT losing_bonus FROM table_12792876_3 WHERE points_against = "445" | SELECT "losing_bonus" FROM "table_12792876_3" WHERE "445" = "points_against" | 0.074219 |
CREATE TABLE table_71377 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| Name the points against when tries against is 51 and points is 52 with played of 22 | SELECT "Points against" FROM table_71377 WHERE "Played" = '22' AND "Points" = '52' AND "Tries against" = '51' | SELECT "Points against" FROM "table_71377" WHERE "Played" = '22' AND "Points" = '52' AND "Tries against" = '51' | 0.108398 |
CREATE TABLE table_name_66 (final VARCHAR2, team VARCHAR2)
| What is Final, when Team is United States (USA) USA I? | SELECT final FROM table_name_66 WHERE team = "united states (usa) usa i" | SELECT "final" FROM "table_name_66" WHERE "team" = "united states (usa) usa i" | 0.076172 |
CREATE TABLE table_name_12 (commissioned VARCHAR2, launched VARCHAR2)
| Tell me what was commissioned december 30, 1965 | SELECT commissioned FROM table_name_12 WHERE launched = "december 30, 1965" | SELECT "commissioned" FROM "table_name_12" WHERE "december 30, 1965" = "launched" | 0.079102 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what is the average tv value during this hospital visit for patient 010-16572? | SELECT AVG(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 = '010-16572' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'tv' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '010-16572' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'tv' AND NOT "_u_1"."" IS NULL | 0.547852 |
CREATE TABLE table_name_2 (player VARCHAR2, to_par VARCHAR2, score VARCHAR2)
| WHAT IS THE PLAYER WITH A TO PAR OF E, AND SCORE OF 68-72=140? | SELECT player FROM table_name_2 WHERE to_par = "e" AND score = 68 - 72 = 140 | SELECT "player" FROM "table_name_2" WHERE "e" = "to_par" AND "score" = FALSE | 0.074219 |
CREATE TABLE table_14996 ("Wrestler" CLOB, "Reigns" CLOB, "Days held" FLOAT, "Location" CLOB, "Successful defenses" CLOB, "Event" CLOB)
| What successful defenses has 126 days held and a Reigns of 3? | SELECT "Successful defenses" FROM table_14996 WHERE "Days held" = '126' AND "Reigns" = '3' | SELECT "Successful defenses" FROM "table_14996" WHERE "Days held" = '126' AND "Reigns" = '3' | 0.089844 |
CREATE TABLE table_27469019_2 (status VARCHAR2, television_channel VARCHAR2)
| What was the status of the series that was run by tv channel Mediacorp tv12 Suria? | SELECT status FROM table_27469019_2 WHERE television_channel = "MediaCorp TV12 Suria" | SELECT "status" FROM "table_27469019_2" WHERE "MediaCorp TV12 Suria" = "television_channel" | 0.088867 |
CREATE TABLE table_17270 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Musical guest and song" CLOB, "Original air date" CLOB, "Production code" CLOB)
| How many episodes were titled 'Man's best friend'? | SELECT COUNT("Directed by") FROM table_17270 WHERE "Title" = 'Man''s Best Friend' | SELECT COUNT("Directed by") FROM "table_17270" WHERE "Title" = 'Man''s Best Friend' | 0.081055 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients whose primary disease is acidosis and year of death is less than or equal to 2131? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ACIDOSIS" AND demographic.dod_year <= "2131.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2131.0" >= "demographic"."dod_year" AND "ACIDOSIS" = "demographic"."diagnosis" | 0.150391 |
CREATE TABLE table_name_10 (floors NUMBER, name VARCHAR2, rank VARCHAR2)
| what is the total of floors when the name is k lntriangle and rank is less thank 63? | SELECT SUM(floors) FROM table_name_10 WHERE name = "kölntriangle" AND rank < 63 | SELECT SUM("floors") FROM "table_name_10" WHERE "kölntriangle" = "name" AND "rank" < 63 | 0.084961 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what amount of emesis did patient 006-195541 have on the last intensive care unit visit? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-195541') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND intakeoutput.celllabel = 'emesis' AND intakeoutput.cellpath LIKE '%output%' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-195541' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'emesis' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL | 0.704102 |
CREATE TABLE table_name_98 (week VARCHAR2, date VARCHAR2)
| October 28, 2001 was what week of the season? | SELECT week FROM table_name_98 WHERE date = "october 28, 2001" | SELECT "week" FROM "table_name_98" WHERE "date" = "october 28, 2001" | 0.066406 |
CREATE TABLE table_name_85 (date VARCHAR2, game VARCHAR2)
| What was the date of game 21? | SELECT date FROM table_name_85 WHERE game = 21 | SELECT "date" FROM "table_name_85" WHERE "game" = 21 | 0.050781 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| Get me Intermediate Latin courses of 2 credits . | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Intermediate Latin%' OR name LIKE '%Intermediate Latin%') AND credits = 2 | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 2 AND ("description" LIKE '%Intermediate Latin%' OR "name" LIKE '%Intermediate Latin%') | 0.162109 |
CREATE TABLE table_60706 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| What is the lowest Goal Difference, when Position is '7', and when Played is greater than 30? | SELECT MIN("Goal Difference") FROM table_60706 WHERE "Position" = '7' AND "Played" > '30' | SELECT MIN("Goal Difference") FROM "table_60706" WHERE "Played" > '30' AND "Position" = '7' | 0.088867 |
CREATE TABLE management (department_ID NUMBER, head_ID NUMBER, temporary_acting CLOB)
CREATE TABLE department (Department_ID NUMBER, Name CLOB, Creation CLOB, Ranking NUMBER, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE head (head_ID NUMBER, name CLOB, born_state CLOB, age FLOAT)
| Show me a line chart of how the number of creation change over the creation, sort by the Creation in descending. | SELECT Creation, COUNT(Creation) FROM department ORDER BY Creation DESC | SELECT "Creation", COUNT("Creation") FROM "department" ORDER BY "Creation" DESC | 0.077148 |
CREATE TABLE table_45373 ("Stage" CLOB, "Winner" CLOB, "General Classification" CLOB, "Mountains Classification" CLOB, "Points Classification" CLOB, "Sprints classification" CLOB, "Team Classification" CLOB)
| What is the Mountains Classification for Winner jos luis carrasco? | SELECT "Mountains Classification" FROM table_45373 WHERE "Winner" = 'josé luis carrasco' | SELECT "Mountains Classification" FROM "table_45373" WHERE "Winner" = 'josé luis carrasco' | 0.087891 |
CREATE TABLE table_45642 ("Ceremony" CLOB, "Award" CLOB, "Category" CLOB, "Name" CLOB, "Outcome" CLOB)
| What is the category Anuya Bhagvath was nominated for at vijay award? | SELECT "Ceremony" FROM table_45642 WHERE "Award" = 'vijay award' AND "Outcome" = 'nominated' AND "Name" = 'anuya bhagvath' | SELECT "Ceremony" FROM "table_45642" WHERE "Award" = 'vijay award' AND "Name" = 'anuya bhagvath' AND "Outcome" = 'nominated' | 0.121094 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what was the percentile of 7.9 in the white blood cells lab test with the same age of patient 46484 during their first hospital visit? | SELECT DISTINCT t1.c1 FROM (SELECT labevents.valuenum, PERCENT_RANK() OVER (ORDER BY labevents.valuenum) AS c1 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'white blood cells') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age = (SELECT admissions.age FROM admissions WHERE admissions.subject_id = 46484 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1))) AS t1 WHERE t1.valuenum = 7.9 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'white blood cells' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."age" FROM "admissions" WHERE "admissions"."subject_id" = 46484 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "admissions"."hadm_id" FROM "admissions" JOIN "_u_1" "_u_1" ON "_u_1"."age" = "admissions"."age" GROUP BY "hadm_id") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "labevents"."hadm_id" WHERE "labevents"."valuenum" = 7.9 AND NOT "_u_0"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.739258 |
CREATE TABLE reservations (code NUMBER, room CLOB, checkin CLOB, checkout CLOB, rate NUMBER, lastname CLOB, firstname CLOB, adults NUMBER, kids NUMBER)
CREATE TABLE rooms (roomid CLOB, roomname CLOB, beds NUMBER, bedtype CLOB, maxoccupancy NUMBER, baseprice NUMBER, decor CLOB)
| Find the total number of king beds available. | SELECT SUM(beds) FROM rooms WHERE bedtype = 'King' | SELECT SUM("beds") FROM "rooms" WHERE "bedtype" = 'King' | 0.054688 |
CREATE TABLE table_name_2 (date VARCHAR2, week VARCHAR2)
| On what date was Tampa Bay's Week 4 game? | SELECT date FROM table_name_2 WHERE week = "4" | SELECT "date" FROM "table_name_2" WHERE "4" = "week" | 0.050781 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| What courses on Tech Phys Instructn have no prerequisites ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id WHERE (area.area LIKE '%Tech Phys Instructn%' OR course.description LIKE '%Tech Phys Instructn%' OR course.name LIKE '%Tech Phys Instructn%') AND course.enforced_requirement = 'N / A' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Tech Phys Instructn%' OR "course"."description" LIKE '%Tech Phys Instructn%' OR "course"."name" LIKE '%Tech Phys Instructn%') AND "area"."course_id" = "course"."course_id" WHERE "course"."enforced_requirement" = 'N / A' | 0.335938 |
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