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CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how many patients have had neurology consultation done until 4 years ago? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'neurology consultation' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year')) | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'neurology consultation' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.390625 |
CREATE TABLE countries (country_id CLOB, country_name CLOB, region_id NUMBER)
CREATE TABLE locations (location_id NUMBER, street_address CLOB, postal_code CLOB, city CLOB, state_province CLOB, country_id CLOB)
CREATE TABLE employees (employee_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, phone_number CLOB, hire_date TIME, job_id CLOB, salary NUMBER, commission_pct NUMBER, manager_id NUMBER, department_id NUMBER)
CREATE TABLE jobs (job_id CLOB, job_title CLOB, min_salary NUMBER, max_salary NUMBER)
CREATE TABLE regions (region_id NUMBER, region_name CLOB)
CREATE TABLE departments (department_id NUMBER, department_name CLOB, manager_id NUMBER, location_id NUMBER)
CREATE TABLE job_history (employee_id NUMBER, start_date TIME, end_date TIME, job_id CLOB, department_id NUMBER)
| display the department name, city, and state province for each department. | SELECT T1.department_name, T2.city, T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | SELECT "T1"."department_name", "T2"."city", "T2"."state_province" FROM "departments" "T1" JOIN "locations" "T2" ON "T1"."location_id" = "T2"."location_id" | 0.150391 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| among patients diagnosed with hypomagnesemia, calculate the five year survival rate. | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t2.diagnosistime) > 5 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypomagnesemia' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.diagnosistime) > 5 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid | WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hypomagnesemia' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")) SELECT SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 1825 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."diagnosistime") > 1825 | 0.6875 |
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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| get the number of patients diagnosed with hypertrophy (benign) of prostate without urinary obstruction and other lower urinary tract symptom (luts) who had delta abnormal lab test status. | 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.long_title = "Hypertrophy (benign) of prostate without urinary obstruction and other lower urinary tract symptom (LUTS)" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hypertrophy (benign) of prostate without urinary obstruction and other lower urinary tract symptom (LUTS)" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.349609 |
CREATE TABLE table_name_14 (melbourne VARCHAR2, auckland VARCHAR2, gold_coast VARCHAR2)
| Which Melbourne has an Auckland of no, and a Gold Coast of no? | SELECT melbourne FROM table_name_14 WHERE auckland = "no" AND gold_coast = "no" | SELECT "melbourne" FROM "table_name_14" WHERE "auckland" = "no" AND "gold_coast" = "no" | 0.084961 |
CREATE TABLE table_name_67 (date VARCHAR2, partner VARCHAR2)
| What is the total number of Date, when Partner is 'Carl-Uwe Steeb'? | SELECT COUNT(date) FROM table_name_67 WHERE partner = "carl-uwe steeb" | SELECT COUNT("date") FROM "table_name_67" WHERE "carl-uwe steeb" = "partner" | 0.074219 |
CREATE TABLE table_name_39 (home_team VARCHAR2, venue VARCHAR2)
| What did the home team score at MCG? | SELECT home_team AS score FROM table_name_39 WHERE venue = "mcg" | SELECT "home_team" AS "score" FROM "table_name_39" WHERE "mcg" = "venue" | 0.070313 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients with elective admission type had self pay insurance? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Self Pay" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ELECTIVE" = "demographic"."admission_type" AND "Self Pay" = "demographic"."insurance" | 0.157227 |
CREATE TABLE table_name_16 (outcome VARCHAR2, surface VARCHAR2)
| What was the Outcome of the match played on Hard (i) Surface? | SELECT outcome FROM table_name_16 WHERE surface = "hard (i)" | SELECT "outcome" FROM "table_name_16" WHERE "hard (i)" = "surface" | 0.064453 |
CREATE TABLE table_18540104_1 (romaji_title VARCHAR2, average_ratings VARCHAR2)
| What is the title with an average rating of 22.4%? | SELECT romaji_title FROM table_18540104_1 WHERE average_ratings = "22.4%" | SELECT "romaji_title" FROM "table_18540104_1" WHERE "22.4%" = "average_ratings" | 0.077148 |
CREATE TABLE Office_locations (building_id NUMBER, company_id NUMBER, move_in_year NUMBER)
CREATE TABLE buildings (id NUMBER, name CLOB, City CLOB, Height NUMBER, Stories NUMBER, Status CLOB)
CREATE TABLE Companies (id NUMBER, name CLOB, Headquarters CLOB, Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value_billion CLOB)
| , and show in desc by the total number. | SELECT Industry, COUNT(*) FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC | SELECT "Industry", COUNT(*) FROM "Companies" GROUP BY "Industry" ORDER BY COUNT(*) DESC | 0.084961 |
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Average answers per question by opening date. | SELECT YEAR(Posts.CreationDate) AS cYear, MONTH(Posts.CreationDate) AS cMonth, AVG(1.0 * AnswerCount) AS avgAnswers FROM Posts WHERE PostTypeId = 1 GROUP BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate) ORDER BY 1, 2 | SELECT YEAR("Posts"."CreationDate") AS "cYear", MONTH("Posts"."CreationDate") AS "cMonth", AVG(1.0 * "AnswerCount") AS "avgAnswers" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY YEAR("Posts"."CreationDate"), MONTH("Posts"."CreationDate") ORDER BY 1, 2 | 0.244141 |
CREATE TABLE ref_document_status (document_status_code CLOB, document_status_description CLOB)
CREATE TABLE circulation_history (document_id NUMBER, draft_number NUMBER, copy_number NUMBER, employee_id NUMBER)
CREATE TABLE documents (document_id NUMBER, document_status_code CLOB, document_type_code CLOB, shipping_agent_code CLOB, receipt_date TIME, receipt_number CLOB, other_details CLOB)
CREATE TABLE documents_mailed (document_id NUMBER, mailed_to_address_id NUMBER, mailing_date TIME)
CREATE TABLE document_drafts (document_id NUMBER, draft_number NUMBER, draft_details CLOB)
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE ref_shipping_agents (shipping_agent_code CLOB, shipping_agent_name CLOB, shipping_agent_description CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, other_details CLOB)
CREATE TABLE draft_copies (document_id NUMBER, draft_number NUMBER, copy_number NUMBER)
| List roles that have more than one employee. List the role description and number of employees. | SELECT roles.role_description, COUNT(employees.employee_id) FROM roles JOIN employees ON employees.role_code = roles.role_code GROUP BY employees.role_code HAVING COUNT(employees.employee_id) > 1 | SELECT "roles"."role_description", COUNT("employees"."employee_id") FROM "roles" JOIN "employees" ON "employees"."role_code" = "roles"."role_code" GROUP BY "employees"."role_code" HAVING COUNT("employees"."employee_id") > 1 | 0.217773 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| find AA flight from NEWARK to NASHVILLE around 630pm | SELECT DISTINCT flight_id FROM flight WHERE ((((departure_time <= 1900 AND departure_time >= 1800) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'NASHVILLE'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'NEWARK'))) AND airline_code = 'AA') | WITH "_u_0" AS (SELECT "CITYalias1"."city_code" FROM "city" "CITYalias1" WHERE "CITYalias1"."city_name" = 'NASHVILLE' GROUP BY "city_code"), "_u_1" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias1" LEFT JOIN "_u_0" "_u_0" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "airport_code"), "_u_2" AS (SELECT "CITYalias0"."city_code" FROM "city" "CITYalias0" WHERE "CITYalias0"."city_name" = 'NEWARK' GROUP BY "city_code"), "_u_3" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias0" LEFT JOIN "_u_2" "_u_2" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_2"."" WHERE NOT "_u_2"."" IS NULL GROUP BY "airport_code") SELECT DISTINCT "flight_id" FROM "flight" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "to_airport" LEFT JOIN "_u_3" "_u_3" ON "_u_3"."" = "from_airport" WHERE "airline_code" = 'AA' AND "departure_time" <= 1900 AND "departure_time" >= 1800 AND NOT "_u_1"."" IS NULL AND NOT "_u_3"."" IS NULL | 1 |
CREATE TABLE table_30211 ("Event Date" CLOB, "Event Day" CLOB, "Approx. Duration" CLOB, "Starting Time" CLOB, "Event Details" CLOB)
| What is every event date on Sunday with a starting time of 9:30 am? | SELECT "Event Date" FROM table_30211 WHERE "Event Day" = 'Sunday' AND "Starting Time" = '9:30 am' | SELECT "Event Date" FROM "table_30211" WHERE "Event Day" = 'Sunday' AND "Starting Time" = '9:30 am' | 0.09668 |
CREATE TABLE table_name_67 (away_team VARCHAR2, home_team VARCHAR2)
| What away team has tottenham hotspur as the home team? | SELECT away_team FROM table_name_67 WHERE home_team = "tottenham hotspur" | SELECT "away_team" FROM "table_name_67" WHERE "home_team" = "tottenham hotspur" | 0.077148 |
CREATE TABLE table_33319 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| At what venue was South Melbourne the home team? | SELECT "Venue" FROM table_33319 WHERE "Home team" = 'south melbourne' | SELECT "Venue" FROM "table_33319" WHERE "Home team" = 'south melbourne' | 0.069336 |
CREATE TABLE table_name_44 (pts NUMBER, engine VARCHAR2, year VARCHAR2)
| What is the average pots of Alfa Romeo v12 after 1983? | SELECT AVG(pts) FROM table_name_44 WHERE engine = "alfa romeo v12" AND year > 1983 | SELECT AVG("pts") FROM "table_name_44" WHERE "alfa romeo v12" = "engine" AND "year" > 1983 | 0.087891 |
CREATE TABLE table_name_78 (wins VARCHAR2, series VARCHAR2, position VARCHAR2)
| How many wins have a Series of formula nippon, and a Position of 8th? | SELECT wins FROM table_name_78 WHERE series = "formula nippon" AND position = "8th" | SELECT "wins" FROM "table_name_78" WHERE "8th" = "position" AND "formula nippon" = "series" | 0.088867 |
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE section (course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, building CLOB, room_number CLOB, time_slot_id CLOB)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity NUMBER)
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
| Find the name of students who took some course offered by Statistics department. | SELECT T3.name FROM course AS T1 JOIN takes AS T2 ON T1.course_id = T2.course_id JOIN student AS T3 ON T2.id = T3.id WHERE T1.dept_name = 'Statistics' | SELECT "T3"."name" FROM "course" "T1" JOIN "takes" "T2" ON "T1"."course_id" = "T2"."course_id" JOIN "student" "T3" ON "T2"."id" = "T3"."id" WHERE "T1"."dept_name" = 'Statistics' | 0.172852 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide me the number of patients diagnosed with suicidal ideation who had delta abnormal lab test status. | 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.long_title = "Suicidal ideation" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Suicidal ideation" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.263672 |
CREATE TABLE table_203_791 (id NUMBER, "represented" CLOB, "contestant" CLOB, "age" NUMBER, "height" CLOB, "hometown" CLOB)
| who was the tallest delegate for miss dominican republic in 2002 ? | SELECT "contestant" FROM table_203_791 ORDER BY "height" DESC LIMIT 1 | SELECT "contestant" FROM "table_203_791" ORDER BY "height" DESC FETCH FIRST 1 ROWS ONLY | 0.084961 |
CREATE TABLE table_name_14 (total_score VARCHAR2, year VARCHAR2)
| What is the total score for the year 2012? | SELECT total_score FROM table_name_14 WHERE year = 2012 | SELECT "total_score" FROM "table_name_14" WHERE "year" = 2012 | 0.05957 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
| Show first name and id for all customers with at least 2 accounts in a bar chart, and could you order x axis from high to low order? | SELECT T2.customer_first_name, T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id ORDER BY T2.customer_first_name DESC | SELECT "T2"."customer_first_name", "T1"."customer_id" FROM "Accounts" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" ORDER BY "T2"."customer_first_name" DESC | 0.175781 |
CREATE TABLE table_32843 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the date when Footscray was the away team? | SELECT "Date" FROM table_32843 WHERE "Away team" = 'footscray' | SELECT "Date" FROM "table_32843" WHERE "Away team" = 'footscray' | 0.0625 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 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 gsi (course_offering_id NUMBER, student_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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
| Do any of my courses relate to human computer interaction ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN student_record ON student_record.course_id = course.course_id INNER JOIN area ON student_record.course_id = area.course_id WHERE area.area LIKE '%human computer interaction%' AND student_record.student_id = 1 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "area" ON "area"."area" LIKE '%human computer interaction%' AND "area"."course_id" = "student_record"."course_id" | 0.313477 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Popular error questions for C++. | SELECT Title, 'https://stackoverflow.com/questions/' + CAST(Id AS TEXT) AS Link, ViewCount, AnswerCount, Score FROM Posts WHERE LOWER(Title) LIKE '%error%' AND Tags LIKE '%c++%' AND AnswerCount > 0 AND Score > 0 ORDER BY (ViewCount * AnswerCount + Score) DESC | SELECT "Title", CONCAT('https://stackoverflow.com/questions/', CAST("Id" AS CLOB)) AS "Link", "ViewCount", "AnswerCount", "Score" FROM "Posts" WHERE "AnswerCount" > 0 AND "Score" > 0 AND "Tags" LIKE '%c++%' AND LOWER("Title") LIKE '%error%' ORDER BY "ViewCount" * "AnswerCount" + "Score" DESC | 0.285156 |
CREATE TABLE table_name_9 (home_team VARCHAR2)
| What was South Melbourne's score when they played as the home team? | SELECT home_team AS score FROM table_name_9 WHERE home_team = "south melbourne" | SELECT "home_team" AS "score" FROM "table_name_9" WHERE "home_team" = "south melbourne" | 0.084961 |
CREATE TABLE table_729 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| What district is F. Edward Hebert the incumbent in? | SELECT "District" FROM table_729 WHERE "Incumbent" = 'F. Edward Hebert' | SELECT "District" FROM "table_729" WHERE "Incumbent" = 'F. Edward Hebert' | 0.071289 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 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)
| what were the five most frequently prescribed medications for the peptic ulcer disease female patients of the 30s during the same hospital encounter after they had been diagnosed with peptic ulcer disease? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'peptic ulcer disease') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 30 AND 39) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 39 AND "patient"."age" >= 30 AND "patient"."gender" = 'female'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'peptic ulcer disease' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.823242 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and department_id , and visualize them by a bar chart. | SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "LAST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.170898 |
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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| tell me what are the top five most common intakes? | SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%intake%' GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "intakeoutput"."celllabel", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "intakeoutput" WHERE "intakeoutput"."cellpath" LIKE '%intake%' GROUP BY "intakeoutput"."celllabel") SELECT "t1"."celllabel" FROM "t1" "t1" WHERE "t1"."c1" <= 5 | 0.257813 |
CREATE TABLE table_38085 ("Rank" FLOAT, "Club" CLOB, "Seasons" FLOAT, "Played" FLOAT, "Drew" FLOAT, "Lost" FLOAT, "Points" FLOAT, "Avg. Points" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal diff" FLOAT)
| Which Lost has Seasons of 2, and Goals against larger than 43? | SELECT MAX("Lost") FROM table_38085 WHERE "Seasons" = '2' AND "Goals against" > '43' | SELECT MAX("Lost") FROM "table_38085" WHERE "Goals against" > '43' AND "Seasons" = '2' | 0.083984 |
CREATE TABLE table_69716 ("Player" CLOB, "Games" CLOB, "Tries" CLOB, "Goals" CLOB, "F. Goals" CLOB, "Points" CLOB)
| Name the player with tries of 02 2 and points of 008 8 | SELECT "Player" FROM table_69716 WHERE "Tries" = '02 2' AND "Points" = '008 8' | SELECT "Player" FROM "table_69716" WHERE "Points" = '008 8' AND "Tries" = '02 2' | 0.078125 |
CREATE TABLE table_18376 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| how many times was it the district illinois 18? | SELECT COUNT("Candidates") FROM table_18376 WHERE "District" = 'Illinois 18' | SELECT COUNT("Candidates") FROM "table_18376" WHERE "District" = 'Illinois 18' | 0.076172 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what's the date of patient 14611's birth? | SELECT patients.dob FROM patients WHERE patients.subject_id = 14611 | SELECT "patients"."dob" FROM "patients" WHERE "patients"."subject_id" = 14611 | 0.075195 |
CREATE TABLE table_name_78 (actor_in_london VARCHAR2, _2002 VARCHAR2, shipwreck VARCHAR2)
| Who was the actor in London in 2002 with the shipwreck of Leonty Ibayev? | SELECT actor_in_london, _2002 FROM table_name_78 WHERE shipwreck = "leonty ibayev" | SELECT "actor_in_london", "_2002" FROM "table_name_78" WHERE "leonty ibayev" = "shipwreck" | 0.087891 |
CREATE TABLE table_12608 ("Constituency number" CLOB, "Name" CLOB, "Reserved for ( SC / ST /None ) " CLOB, "District" CLOB, "Number of electorates ( 2009 ) " FLOAT)
| What district shows reserved for (SC / ST /None) of total:? | SELECT "District" FROM table_12608 WHERE "Reserved for ( SC / ST /None)" = 'total:' | SELECT "District" FROM "table_12608" WHERE "Reserved for ( SC / ST /None)" = 'total:' | 0.083008 |
CREATE TABLE table_4714 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What School or Club team has an overall score of 21? | SELECT "School/Club Team" FROM table_4714 WHERE "Overall" = '21' | SELECT "School/Club Team" FROM "table_4714" WHERE "Overall" = '21' | 0.064453 |
CREATE TABLE table_name_52 (result VARCHAR2, week VARCHAR2, opponent VARCHAR2)
| What is the result of the game after week 5 against the st. louis rams? | SELECT result FROM table_name_52 WHERE week > 5 AND opponent = "st. louis rams" | SELECT "result" FROM "table_name_52" WHERE "opponent" = "st. louis rams" AND "week" > 5 | 0.084961 |
CREATE TABLE table_name_87 (set_1 VARCHAR2, set_3 VARCHAR2)
| What was the first set with a third set of 25 21? | SELECT set_1 FROM table_name_87 WHERE set_3 = "25–21" | SELECT "set_1" FROM "table_name_87" WHERE "25–21" = "set_3" | 0.057617 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, a scatter chart shows the correlation between salary and manager_id . | SELECT SALARY, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "SALARY", "MANAGER_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.077148 |
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
| Count the number of local authorities by the local authority, and list by the Y in desc. | SELECT local_authority, COUNT(local_authority) FROM station GROUP BY local_authority ORDER BY COUNT(local_authority) DESC | SELECT "local_authority", COUNT("local_authority") FROM "station" GROUP BY "local_authority" ORDER BY COUNT("local_authority") DESC | 0.12793 |
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Medallas faltantes en puntuacion de candidato. | SELECT DISTINCT Name AS Medalla FROM Badges WHERE Name IN ('Civic Duty', 'Cleanup', 'Constituent', 'Convention', 'Copy Editor', 'Deputy', 'Electorate', 'Enthusiast', 'Explainer', 'Investor', 'Marshal', 'Organizer', 'Quorum', 'Refiner', 'Sportsmanship', 'Strunk & White', 'Tag Editor', 'Reviewer', 'Steward', 'Yearling') AND Name NOT IN (SELECT Name FROM Badges WHERE UserId = '##UserId##') | SELECT DISTINCT "Name" AS "Medalla" FROM "Badges" WHERE "Name" IN ('Civic Duty', 'Cleanup', 'Constituent', 'Convention', 'Copy Editor', 'Deputy', 'Electorate', 'Enthusiast', 'Explainer', 'Investor', 'Marshal', 'Organizer', 'Quorum', 'Refiner', 'Sportsmanship', 'Strunk & White', 'Tag Editor', 'Reviewer', 'Steward', 'Yearling') AND NOT "Name" IN (SELECT "Name" FROM "Badges" WHERE "UserId" = '##UserId##') | 0.395508 |
CREATE TABLE table_22669044_10 (record VARCHAR2, high_rebounds VARCHAR2)
| What's the record in the game in which Brad Miller (7) did the high rebounds? | SELECT record FROM table_22669044_10 WHERE high_rebounds = "Brad Miller (7)" | SELECT "record" FROM "table_22669044_10" WHERE "Brad Miller (7)" = "high_rebounds" | 0.080078 |
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)
| count the number of patients who had been diagnosed with cardiac arrest within 2 months after they had been diagnosed with acute renal failure in 2104. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiac arrest' AND STRFTIME('%y', diagnosis.diagnosistime) = '2104') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute renal failure' AND STRFTIME('%y', diagnosis.diagnosistime) = '2104') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "diagnosis" "diagnosis_2" ON "diagnosis"."diagnosistime" < "diagnosis_2"."diagnosistime" AND "diagnosis_2"."diagnosisname" = 'acute renal failure' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("diagnosis_2"."diagnosistime") AND STRFTIME('%y', "diagnosis_2"."diagnosistime") = '2104' JOIN "patient" "patient_2" ON "diagnosis_2"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'cardiac arrest' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2104' | 0.726563 |
CREATE TABLE table_name_96 (sail VARCHAR2, syndicate VARCHAR2, yacht VARCHAR2)
| Which sail is in the America 3 Foundation syndicate on the America 3 yacht? | SELECT sail FROM table_name_96 WHERE syndicate = "america 3 foundation" AND yacht = "america 3" | SELECT "sail" FROM "table_name_96" WHERE "america 3 foundation" = "syndicate" AND "america 3" = "yacht" | 0.100586 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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)
| show nonstop flights from NEW YORK to MIAMI on a TUESDAY which cost less than 466 dollars one way | 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, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE (((DAYS_0.day_name = 'TUESDAY' AND DAYS_1.day_name = 'TUESDAY' AND fare_basis.basis_days = DAYS_1.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND fare.one_direction_cost < 466 AND flight_fare.fare_id = fare.fare_id AND flight.flight_days = DAYS_0.days_code AND flight.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.stops = 0 | 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" = 'NEW YORK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."stops" = 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" "DAYS_0" ON "DAYS_0"."day_name" = 'TUESDAY' AND "DAYS_0"."days_code" = "flight"."flight_days" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MIAMI' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."one_direction_cost" < 466 JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" JOIN "days" "DAYS_1" ON "DAYS_1"."day_name" = 'TUESDAY' AND "DAYS_1"."days_code" = "fare_basis"."basis_days" | 0.956055 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 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)
| what lab tests did patient 22782 receive in 04/this year for the first time? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT labevents.itemid FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22782) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '04' ORDER BY labevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 22782 GROUP BY "hadm_id"), "_u_1" AS (SELECT "labevents"."itemid" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '04' GROUP BY "itemid" ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY) SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_labitems"."itemid" WHERE NOT "_u_1"."" IS NULL | 0.625977 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of times that patient 31854 has received a contr cerebr arteriogram procedure this year. | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'contr cerebr arteriogram') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31854) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31854 GROUP BY "hadm_id") SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'contr cerebr arteriogram' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL | 0.512695 |
CREATE TABLE table_name_48 (years VARCHAR2, name VARCHAR2)
| Name the years for dannevirke south school | SELECT years FROM table_name_48 WHERE name = "dannevirke south school" | SELECT "years" FROM "table_name_48" WHERE "dannevirke south school" = "name" | 0.074219 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| get the number of patients born before 2121 who were ordered csf lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2121" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2121" > "demographic"."dob_year" | 0.207031 |
CREATE TABLE table_name_67 (model VARCHAR2, years VARCHAR2)
| What was the model that had years 2004-? | SELECT model FROM table_name_67 WHERE years = "2004-" | SELECT "model" FROM "table_name_67" WHERE "2004-" = "years" | 0.057617 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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_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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| In reference to EPID 813 , who has taught it in the past ? | SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'EPID' AND course.number = 813 AND NOT (semester.semester = 'WN' AND semester.year = 2016) | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND ("semester"."semester" <> 'WN' OR "semester"."year" <> 2016) JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'EPID' AND "course"."number" = 813 | 0.510742 |
CREATE TABLE table_3524 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| What song was used resulting in the bottom 3? | SELECT "Song choice" FROM table_3524 WHERE "Result" = 'Bottom 3' | SELECT "Song choice" FROM "table_3524" WHERE "Result" = 'Bottom 3' | 0.064453 |
CREATE TABLE table_name_92 (voltage VARCHAR2, release_date VARCHAR2, frequency VARCHAR2)
| what is the voltage when release date is june 2001 and frequency is 1.13ghz? | SELECT voltage FROM table_name_92 WHERE release_date = "june 2001" AND frequency = "1.13ghz" | SELECT "voltage" FROM "table_name_92" WHERE "1.13ghz" = "frequency" AND "june 2001" = "release_date" | 0.097656 |
CREATE TABLE table_66913 ("Stage" CLOB, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Intergiro classification" CLOB, "Trofeo Fast Team" CLOB)
| Who was the winner from team Asics-c.g.a. and has a mountains classification of Mariano Piccoli? | SELECT "Winner" FROM table_66913 WHERE "Trofeo Fast Team" = 'asics-c.g.a.' AND "Mountains classification" = 'mariano piccoli' | SELECT "Winner" FROM "table_66913" WHERE "Mountains classification" = 'mariano piccoli' AND "Trofeo Fast Team" = 'asics-c.g.a.' | 0.124023 |
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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 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)
| what are the three most commonly used procedures for patients that have previously received insulin - continuous infusion during the same month, until 4 years ago? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'insulin - continuous infusion' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month') GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "treatment"."treatmentname", "treatment"."treatmenttime" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."treatmenttime" > "treatment"."treatmenttime" AND DATETIME("t2"."treatmenttime", 'start of month') = DATETIME("treatment"."treatmenttime", 'start of month') WHERE "treatment"."treatmentname" = 'insulin - continuous infusion' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."treatmentname") SELECT "t3"."treatmentname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.918945 |
CREATE TABLE table_name_14 (score VARCHAR2, december VARCHAR2, record VARCHAR2)
| What's the Score that's got a listing of December that larger than 8 and Record of 25-8-3? | SELECT score FROM table_name_14 WHERE december > 8 AND record = "25-8-3" | SELECT "score" FROM "table_name_14" WHERE "25-8-3" = "record" AND "december" > 8 | 0.078125 |
CREATE TABLE table_21489362_2 (rr4_pts VARCHAR2, total_pts VARCHAR2)
| When 70 is the total points what is the rr4 points? | SELECT rr4_pts FROM table_21489362_2 WHERE total_pts = 70 | SELECT "rr4_pts" FROM "table_21489362_2" WHERE "total_pts" = 70 | 0.061523 |
CREATE TABLE table_16570286_4 (best_bowling VARCHAR2, average VARCHAR2)
| What was the best bowling score when the average was 23.33? | SELECT best_bowling FROM table_16570286_4 WHERE average = "23.33" | SELECT "best_bowling" FROM "table_16570286_4" WHERE "23.33" = "average" | 0.069336 |
CREATE TABLE table_55170 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How much did the away team St Kilda score? | SELECT "Away team score" FROM table_55170 WHERE "Away team" = 'st kilda' | SELECT "Away team score" FROM "table_55170" WHERE "Away team" = 'st kilda' | 0.072266 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the average of manufacturer over the founder , and group by attribute founder by a bar chart. | SELECT Founder, AVG(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder | SELECT "Founder", AVG("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" | 0.136719 |
CREATE TABLE table_11677691_5 (college VARCHAR2, player VARCHAR2)
| Which college has the player Rushel Shell? | SELECT college FROM table_11677691_5 WHERE player = "Rushel Shell" | SELECT "college" FROM "table_11677691_5" WHERE "Rushel Shell" = "player" | 0.070313 |
CREATE TABLE table_name_45 (rank VARCHAR2, third_quarter VARCHAR2)
| When the third quarter is China Mobile 195,680.4, what is the rank? | SELECT rank FROM table_name_45 WHERE third_quarter = "china mobile 195,680.4" | SELECT "rank" FROM "table_name_45" WHERE "china mobile 195,680.4" = "third_quarter" | 0.081055 |
CREATE TABLE table_name_86 (home_team VARCHAR2, away_team VARCHAR2)
| What team was the home team when Tottenham Hotspur is the away team? | SELECT home_team FROM table_name_86 WHERE away_team = "tottenham hotspur" | SELECT "home_team" FROM "table_name_86" WHERE "away_team" = "tottenham hotspur" | 0.077148 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what were the five most commonly given microbiology tests for patients that had previously received chest x-ray within 2 months the last year? | SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'chest x-ray' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(microlab.culturetakentime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.culturetakentime AND DATETIME(t2.culturetakentime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."culturetakentime" > "treatment"."treatmenttime" AND DATETIME("t2"."culturetakentime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."culturetakentime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'chest x-ray' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 1.019531 |
CREATE TABLE table_name_48 (opponent_in_the_final VARCHAR2, score VARCHAR2, date VARCHAR2, partnering VARCHAR2)
| Who was the opponent before 1990 that had a score of 4 6, 6 3, 6 4 and Partnering of Yannick Noah? | SELECT opponent_in_the_final FROM table_name_48 WHERE date < 1990 AND partnering = "yannick noah" AND score = "4–6, 6–3, 6–4" | SELECT "opponent_in_the_final" FROM "table_name_48" WHERE "4–6, 6–3, 6–4" = "score" AND "date" < 1990 AND "partnering" = "yannick noah" | 0.131836 |
CREATE TABLE table_name_52 (runner_s__up VARCHAR2, tournament VARCHAR2)
| Who was the runner-up in the RR Donnelley LPGA Founders Cup? | SELECT runner_s__up FROM table_name_52 WHERE tournament = "rr donnelley lpga founders cup" | SELECT "runner_s__up" FROM "table_name_52" WHERE "rr donnelley lpga founders cup" = "tournament" | 0.09375 |
CREATE TABLE table_2175858_1 (driver VARCHAR2, laps VARCHAR2, average_speed__mph_ VARCHAR2)
| How many drivers drove 300 laps at average speed of 103.594? | SELECT COUNT(driver) FROM table_2175858_1 WHERE laps = "300" AND average_speed__mph_ = "103.594" | SELECT COUNT("driver") FROM "table_2175858_1" WHERE "103.594" = "average_speed__mph_" AND "300" = "laps" | 0.101563 |
CREATE TABLE table_1341690_5 (first_elected NUMBER, party VARCHAR2)
| What republican candidate was first elected most recently? | SELECT MAX(first_elected) FROM table_1341690_5 WHERE party = "Republican" | SELECT MAX("first_elected") FROM "table_1341690_5" WHERE "Republican" = "party" | 0.077148 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of price over the name , and group by attribute name by a bar chart, and rank by the y axis from low to high. | SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Price | SELECT "T2"."Name", "T1"."Price" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T1"."Price" | 0.155273 |
CREATE TABLE Participants (Participant_ID NUMBER, Participant_Type_Code CHAR, Participant_Details VARCHAR2)
CREATE TABLE Participants_in_Events (Event_ID NUMBER, Participant_ID NUMBER)
CREATE TABLE Events (Event_ID NUMBER, Service_ID NUMBER, Event_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR)
| What are the ids and details of events that have more than one participants. Plot them as pie chart. | SELECT T1.Event_Details, T1.Event_ID FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY T1.Event_Details | SELECT "T1"."Event_Details", "T1"."Event_ID" FROM "Events" "T1" JOIN "Participants_in_Events" "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "T1"."Event_Details" | 0.161133 |
CREATE TABLE table_27733909_1 (high_points VARCHAR2, date VARCHAR2)
| what is the most number where the calendar shows october 20 | SELECT high_points FROM table_27733909_1 WHERE date = "October 20" | SELECT "high_points" FROM "table_27733909_1" WHERE "October 20" = "date" | 0.070313 |
CREATE TABLE table_name_84 (first_used VARCHAR2, quantity VARCHAR2)
| Which First used has a Quantity of 26? | SELECT first_used FROM table_name_84 WHERE quantity = 26 | SELECT "first_used" FROM "table_name_84" WHERE "quantity" = 26 | 0.060547 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
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)
| since 2 years ago, what were the five most often ordered lab tests for patients who had previously been diagnosed with s/p thoracotomy within 2 months? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 's/p thoracotomy' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.labresulttime AND DATETIME(t2.labresulttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."labresulttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."labresulttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."labresulttime") WHERE "diagnosis"."diagnosisname" = 's/p thoracotomy' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.904297 |
CREATE TABLE table_name_59 (record VARCHAR2, date VARCHAR2)
| What is their record on April 2? | SELECT record FROM table_name_59 WHERE date = "april 2" | SELECT "record" FROM "table_name_59" WHERE "april 2" = "date" | 0.05957 |
CREATE TABLE table_39791 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nominated Work" CLOB, "Result" CLOB)
| For how many years has the Mercury Prize been awarded? | SELECT COUNT("Year") FROM table_39791 WHERE "Award" = 'mercury prize' | SELECT COUNT("Year") FROM "table_39791" WHERE "Award" = 'mercury prize' | 0.069336 |
CREATE TABLE table_name_50 (losses NUMBER, year VARCHAR2, result VARCHAR2, wins VARCHAR2)
| What is the total of Losses with a Result of runner-up, Wins of 1, and a Year smaller than 2006? | SELECT SUM(losses) FROM table_name_50 WHERE result = "runner-up" AND wins = 1 AND year < 2006 | SELECT SUM("losses") FROM "table_name_50" WHERE "result" = "runner-up" AND "wins" = 1 AND "year" < 2006 | 0.100586 |
CREATE TABLE table_76908 ("Class" CLOB, "Wheel arrangement" CLOB, "Fleet number ( s ) " CLOB, "Year made" CLOB, "Quantity made" CLOB, "Quantity preserved" CLOB)
| What is the quantity made of the e-22 class, which has a quantity preserved of 0? | SELECT "Quantity made" FROM table_76908 WHERE "Quantity preserved" = '0' AND "Class" = 'e-22' | SELECT "Quantity made" FROM "table_76908" WHERE "Class" = 'e-22' AND "Quantity preserved" = '0' | 0.092773 |
CREATE TABLE table_37621 ("Game #" FLOAT, "Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB, "Points" FLOAT)
| Which Home has a Game # of 59? | SELECT "Home" FROM table_37621 WHERE "Game #" = '59' | SELECT "Home" FROM "table_37621" WHERE "Game #" = '59' | 0.052734 |
CREATE TABLE table_name_34 (termination_of_mission VARCHAR2, presentation_of_credentials VARCHAR2)
| What's the Termination of Mission listed that has a Presentation of Credentials for August 29, 1859? | SELECT termination_of_mission FROM table_name_34 WHERE presentation_of_credentials = "august 29, 1859" | SELECT "termination_of_mission" FROM "table_name_34" WHERE "august 29, 1859" = "presentation_of_credentials" | 0.105469 |
CREATE TABLE table_57835 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| What is the nationality of the player with a round after 4 and plays right wing? | SELECT "Nationality" FROM table_57835 WHERE "Round" > '4' AND "Position" = 'right wing' | SELECT "Nationality" FROM "table_57835" WHERE "Position" = 'right wing' AND "Round" > '4' | 0.086914 |
CREATE TABLE table_name_13 (distance VARCHAR2, stage VARCHAR2)
| What was the distance of the course for stage 4? | SELECT distance FROM table_name_13 WHERE stage = "4" | SELECT "distance" FROM "table_name_13" WHERE "4" = "stage" | 0.056641 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_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 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 month (month_number NUMBER, month_name CLOB)
| what is fare code FN | SELECT DISTINCT fare_basis_code FROM fare_basis WHERE fare_basis_code = 'FN' | SELECT DISTINCT "fare_basis_code" FROM "fare_basis" WHERE "fare_basis_code" = 'FN' | 0.080078 |
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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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_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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| tell me patient 10624's minimum bands value this month? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10624) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bands') AND DATETIME(labevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10624 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bands' GROUP BY "itemid") SELECT MIN("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.564453 |
CREATE TABLE table_33427 ("State" CLOB, "Born/Died" CLOB, "Active service" CLOB, "Chief Judge" CLOB, "Senior status" CLOB, "Appointed by" CLOB, "Reason for termination" CLOB)
| What were the years of senior status for active service in 1972 1995? | SELECT "Senior status" FROM table_33427 WHERE "Active service" = '1972–1995' | SELECT "Senior status" FROM "table_33427" WHERE "Active service" = '1972–1995' | 0.076172 |
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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 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 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| What are some good courses to take before taking TCHNCLCM 610 ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'TCHNCLCM' AND number = 610 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'TCHNCLCM' AND "number" = 610 | 0.100586 |
CREATE TABLE table_name_59 (year VARCHAR2, definition VARCHAR2, borough VARCHAR2, rank VARCHAR2)
| Which Year has a Borough of harrogate, and a Rank smaller than 6, and a Definition of civil parish? | SELECT year FROM table_name_59 WHERE borough = "harrogate" AND rank < 6 AND definition = "civil parish" | SELECT "year" FROM "table_name_59" WHERE "borough" = "harrogate" AND "civil parish" = "definition" AND "rank" < 6 | 0.110352 |
CREATE TABLE csu_fees (campus NUMBER, year NUMBER, campusfee NUMBER)
CREATE TABLE enrollments (campus NUMBER, year NUMBER, totalenrollment_ay NUMBER, fte_ay NUMBER)
CREATE TABLE degrees (year NUMBER, campus NUMBER, degrees NUMBER)
CREATE TABLE campuses (id NUMBER, campus CLOB, location CLOB, county CLOB, year NUMBER)
CREATE TABLE faculty (campus NUMBER, year NUMBER, faculty NUMBER)
CREATE TABLE discipline_enrollments (campus NUMBER, discipline NUMBER, year NUMBER, undergraduate NUMBER, graduate NUMBER)
| What are the names of the campus that have more faculties in 2002 than the maximum number in Orange county? | SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND faculty > (SELECT MAX(faculty) FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND T1.county = "Orange") | SELECT "T1"."campus" FROM "campuses" "T1" JOIN "faculty" "T2" ON "T1"."id" = "T2"."campus" AND "T2"."year" = 2002 AND "faculty" > (SELECT MAX("faculty") FROM "campuses" "T1" JOIN "faculty" "T2" ON "T1"."id" = "T2"."campus" AND "T2"."year" = 2002 WHERE "Orange" = "T1"."county") | 0.270508 |
CREATE TABLE table_17798093_20 (examples VARCHAR2, australian VARCHAR2)
| which examples are pronounced et in australian | SELECT examples FROM table_17798093_20 WHERE australian = "et" | SELECT "examples" FROM "table_17798093_20" WHERE "australian" = "et" | 0.066406 |
CREATE TABLE table_69959 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Who won the mixed doubles in 1957 when judy devlin won the women's singles? | SELECT "Mixed doubles" FROM table_69959 WHERE "Women's singles" = 'judy devlin' AND "Year" = '1957' | SELECT "Mixed doubles" FROM "table_69959" WHERE "Women's singles" = 'judy devlin' AND "Year" = '1957' | 0.098633 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, order by the y-axis from low to high. | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(MANAGER_ID) | SELECT "JOB_ID", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY SUM("MANAGER_ID") | 0.149414 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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)
| count the number of patients whose diagnoses short title is ventricular fibrillation and drug route is replace? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Ventricular fibrillation" AND prescriptions.route = "REPLACE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ventricular fibrillation" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "REPLACE" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.303711 |
CREATE TABLE table_58499 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| what is the venue when the crowd is more than 11,131 and the home team is essendon? | SELECT "Venue" FROM table_58499 WHERE "Crowd" > '11,131' AND "Home team" = 'essendon' | SELECT "Venue" FROM "table_58499" WHERE "Crowd" > '11,131' AND "Home team" = 'essendon' | 0.084961 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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 employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the average of salary , and group by attribute job_id in a bar chart, and could you order y-axis in desc order? | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(SALARY) DESC | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("SALARY") DESC | 0.146484 |
CREATE TABLE table_30753 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the record listed when the high assists is earl watson (6)? | SELECT "Record" FROM table_30753 WHERE "High assists" = 'Earl Watson (6)' | SELECT "Record" FROM "table_30753" WHERE "High assists" = 'Earl Watson (6)' | 0.073242 |
CREATE TABLE table_21109892_1 (quantity_world_rank VARCHAR2, value_world_rank VARCHAR2)
| where value world rank is 12, what is the quantity world rank? | SELECT quantity_world_rank FROM table_21109892_1 WHERE value_world_rank = "12" | SELECT "quantity_world_rank" FROM "table_21109892_1" WHERE "12" = "value_world_rank" | 0.082031 |
CREATE TABLE table_37563 ("Date" CLOB, "Race Name" CLOB, "Location" CLOB, "UCI Rating" CLOB, "Winner" CLOB, "Team" CLOB)
| What is the date of the gp citt di camaiore race? | SELECT "Date" FROM table_37563 WHERE "Race Name" = 'gp città di camaiore' | SELECT "Date" FROM "table_37563" WHERE "Race Name" = 'gp città di camaiore' | 0.073242 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| specify birthdate and icd9 code of patient jerry deberry | SELECT demographic.dob, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Jerry Deberry" | SELECT "demographic"."dob", "procedures"."icd9_code" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name" | 0.181641 |
Subsets and Splits