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CREATE TABLE table_name_38 (width VARCHAR2, year VARCHAR2)
| What is the width for the year of the 1970? | SELECT width FROM table_name_38 WHERE year = "1970" | SELECT "width" FROM "table_name_38" WHERE "1970" = "year" | 0.055664 |
CREATE TABLE table_name_97 (winner VARCHAR2, race_leader VARCHAR2)
| Name the winner for rest day race leader | SELECT winner FROM table_name_97 WHERE race_leader = "rest day" | SELECT "winner" FROM "table_name_97" WHERE "race_leader" = "rest day" | 0.067383 |
CREATE TABLE table_name_15 (country VARCHAR2, first_store VARCHAR2)
| Which country had the first store in the year 2007? | SELECT country FROM table_name_15 WHERE first_store = "2007" | SELECT "country" FROM "table_name_15" WHERE "2007" = "first_store" | 0.064453 |
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, workshop_group_id NUMBER, product_description CLOB, product_name CLOB, product_price NUMBER, other_product_service_details CLOB)
CREATE TABLE marketing_regions (marketing_region_code CLOB, marketing_region_name CLOB, marketing_region_descriptrion CLOB, other_details CLOB)
CREATE TABLE invoice_items (invoice_item_id NUMBER, invoice_id NUMBER, order_id NUMBER, order_item_id NUMBER, product_id NUMBER, order_quantity NUMBER, other_item_details CLOB)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity CLOB, other_item_details CLOB)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE ref_payment_methods (payment_method_code CLOB, payment_method_description CLOB)
CREATE TABLE products (product_id CLOB, product_name CLOB, product_price NUMBER, product_description CLOB, other_product_service_details CLOB)
CREATE TABLE bookings (booking_id NUMBER, customer_id NUMBER, workshop_group_id CLOB, status_code CLOB, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE customers (customer_id CLOB, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE performers_in_bookings (order_id NUMBER, performer_id NUMBER)
CREATE TABLE performers (performer_id NUMBER, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE ref_service_types (service_type_code CLOB, parent_service_type_code CLOB, service_type_description CLOB)
CREATE TABLE stores (store_id CLOB, address_id NUMBER, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE clients (client_id NUMBER, address_id NUMBER, customer_email_address CLOB, customer_name CLOB, customer_phone CLOB, other_details CLOB)
CREATE TABLE invoices (invoice_id NUMBER, order_id NUMBER, payment_method_code CLOB, product_id NUMBER, order_quantity CLOB, other_item_details CLOB, order_item_id NUMBER)
CREATE TABLE bookings_services (order_id NUMBER, product_id NUMBER)
CREATE TABLE drama_workshop_groups (workshop_group_id NUMBER, address_id NUMBER, currency_code CLOB, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE addresses (address_id CLOB, line_1 CLOB, line_2 CLOB, city_town CLOB, state_county CLOB, other_details CLOB)
| What is the description of the service type which offers both the photo product and the film product? | SELECT T1.service_type_description FROM ref_service_types AS T1 JOIN services AS T2 ON T1.service_type_code = T2.service_type_code WHERE T2.product_name = 'photo' INTERSECT SELECT T1.service_type_description FROM ref_service_types AS T1 JOIN services AS T2 ON T1.service_type_code = T2.service_type_code WHERE T2.product_name = 'film' | SELECT "T1"."service_type_description" FROM "ref_service_types" "T1" JOIN "services" "T2" ON "T1"."service_type_code" = "T2"."service_type_code" AND "T2"."product_name" = 'photo' INTERSECT SELECT "T1"."service_type_description" FROM "ref_service_types" "T1" JOIN "services" "T2" ON "T1"."service_type_code" = "T2"."service_type_code" AND "T2"."product_name" = 'film' | 0.357422 |
CREATE TABLE table_51152 ("Tribunal" CLOB, "Number of autos da f\\u00e9 with known sentences" CLOB, "Executions in persona" CLOB, "Executions in effigie" CLOB, "Penanced" CLOB, "Total" CLOB)
| How many were penanced with 0 executions in effigie for a total of 21? | SELECT "Penanced" FROM table_51152 WHERE "Executions in effigie" = '0' AND "Total" = '21' | SELECT "Penanced" FROM "table_51152" WHERE "Executions in effigie" = '0' AND "Total" = '21' | 0.088867 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
| Find the number of students whose gpa is lower than the average gpa of all students for different first name in a bar chart, and display Y-axis in ascending order. | SELECT STU_FNAME, COUNT(STU_FNAME) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME ORDER BY COUNT(STU_FNAME) | SELECT "STU_FNAME", COUNT("STU_FNAME") FROM "STUDENT" WHERE "STU_GPA" < (SELECT AVG("STU_GPA") FROM "STUDENT") GROUP BY "STU_FNAME" ORDER BY COUNT("STU_FNAME") | 0.155273 |
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
| List the names of patients who have made appointments, and count them by a bar chart, display names from low to high order. | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name ORDER BY Name | SELECT "Name", COUNT("Name") FROM "Appointment" "T1" JOIN "Patient" "T2" ON "T1"."Patient" = "T2"."SSN" GROUP BY "Name" ORDER BY "Name" | 0.131836 |
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 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)
| what is maximum age of patients whose marital status is divorced and primary disease is ventricular tachycardia? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "VENTRICULAR TACHYCARDIA" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "DIVORCED" = "demographic"."marital_status" AND "VENTRICULAR TACHYCARDIA" = "demographic"."diagnosis" | 0.154297 |
CREATE TABLE table_name_9 (year NUMBER, reg_season VARCHAR2)
| Which Year has a Reg Season of 3rd, western? | SELECT AVG(year) FROM table_name_9 WHERE reg_season = "3rd, western" | SELECT AVG("year") FROM "table_name_9" WHERE "3rd, western" = "reg_season" | 0.072266 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| count the number of times that patient 004-13127 has got a non-invasive ventilation procedure in this hospital visit. | SELECT COUNT(*) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-13127' AND patient.hospitaldischargetime IS NULL)) AND treatment.treatmentname = 'non-invasive ventilation' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '004-13127' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'non-invasive ventilation' AND NOT "_u_1"."" IS NULL | 0.579102 |
CREATE TABLE table_36168 ("1950" FLOAT, "1960" FLOAT, "1970" FLOAT, "1980" FLOAT, "1990" FLOAT, "1996[2]" FLOAT)
| 1996[2] of 127, and a 1990 smaller than 120 is the sum of 1990? | SELECT SUM("1980") FROM table_36168 WHERE "1996[2]" = '127' AND "1990" < '120' | SELECT SUM("1980") FROM "table_36168" WHERE "1990" < '120' AND "1996[2]" = '127' | 0.078125 |
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 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 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)
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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| show me the three most frequent output events since 5 years ago? | SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 3 | WITH "t1" AS (SELECT "intakeoutput"."celllabel", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "intakeoutput" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "intakeoutput"."celllabel") SELECT "t1"."celllabel" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.342773 |
CREATE TABLE table_name_89 (played NUMBER, lost VARCHAR2, goal_difference VARCHAR2)
| What is the highest number played when there were less than 13 losses and a goal difference of +46? | SELECT MAX(played) FROM table_name_89 WHERE lost < 13 AND goal_difference = "+46" | SELECT MAX("played") FROM "table_name_89" WHERE "+46" = "goal_difference" AND "lost" < 13 | 0.086914 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| count the number of patients less than 76 years who have procedure icd9 code 2811. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "76" AND procedures.icd9_code = "2811" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "2811" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "76" > "demographic"."age" | 0.204102 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| did patient 022-140336 be prescribed dextrose 50%, morphine inj, or acetaminophen 650mg rect supp in 12/2105? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-140336')) AND medication.drugname IN ('dextrose 50%', 'morphine inj', 'acetaminophen 650mg rect supp') AND STRFTIME('%y-%m', medication.drugstarttime) = '2105-12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-140336' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" IN ('dextrose 50%', 'morphine inj', 'acetaminophen 650mg rect supp') AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") = '2105-12' | 0.638672 |
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 gsi (course_offering_id NUMBER, student_id 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 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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)
| In Ruby Hodges 's class where he is the GSI , what are the prerequisites needed ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0 INNER JOIN course_prerequisite ON COURSE_0.course_id = course_prerequisite.pre_course_id INNER JOIN course AS COURSE_1 ON COURSE_1.course_id = course_prerequisite.course_id INNER JOIN course_offering ON COURSE_1.course_id = course_offering.course_id INNER JOIN gsi ON gsi.course_offering_id = course_offering.offering_id INNER JOIN student ON student.student_id = gsi.student_id WHERE student.firstname LIKE 'Ruby' AND student.lastname LIKE 'Hodges' | SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" JOIN "course_offering" ON "COURSE_1"."course_id" = "course_offering"."course_id" JOIN "gsi" ON "course_offering"."offering_id" = "gsi"."course_offering_id" JOIN "student" ON "gsi"."student_id" = "student"."student_id" AND "student"."firstname" LIKE 'Ruby' AND "student"."lastname" LIKE 'Hodges' | 0.56543 |
CREATE TABLE table_1084 ("Pick #" FLOAT, "NFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What college did Byron Williams attend? | SELECT "College" FROM table_1084 WHERE "Player" = 'Byron Williams' | SELECT "College" FROM "table_1084" WHERE "Player" = 'Byron Williams' | 0.066406 |
CREATE TABLE table_9958 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" CLOB, "Record" CLOB, "Points" FLOAT)
| Who is the visitor from the game with 7,000 in attendance on January 1? | SELECT "Visitor" FROM table_9958 WHERE "Attendance" = '7,000' AND "Date" = 'january 1' | SELECT "Visitor" FROM "table_9958" WHERE "Attendance" = '7,000' AND "Date" = 'january 1' | 0.085938 |
CREATE TABLE table_25561038_1 (points VARCHAR2, position VARCHAR2)
| List the total points for the 1st place team. | SELECT points FROM table_25561038_1 WHERE position = "1st" | SELECT "points" FROM "table_25561038_1" WHERE "1st" = "position" | 0.0625 |
CREATE TABLE table_name_58 (date VARCHAR2, record VARCHAR2)
| what day was the score 39-14 | SELECT date FROM table_name_58 WHERE record = "39-14" | SELECT "date" FROM "table_name_58" WHERE "39-14" = "record" | 0.057617 |
CREATE TABLE table_name_82 (opponent VARCHAR2, attendance VARCHAR2)
| Which Opponent has a Attendance of 6,275? | SELECT opponent FROM table_name_82 WHERE attendance = "6,275" | SELECT "opponent" FROM "table_name_82" WHERE "6,275" = "attendance" | 0.06543 |
CREATE TABLE table_44967 ("Pollutant" CLOB, "Type" CLOB, "Standard" CLOB, "Averaging Time" CLOB, "Regulatory Citation" CLOB)
| what is the standard when the pollutant is o 3 and averaging time is 8-hour? | SELECT "Standard" FROM table_44967 WHERE "Pollutant" = 'o 3' AND "Averaging Time" = '8-hour' | SELECT "Standard" FROM "table_44967" WHERE "Averaging Time" = '8-hour' AND "Pollutant" = 'o 3' | 0.091797 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| In the Winter , when does 890 meet ? | SELECT DISTINCT course_offering.end_time, course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.start_time, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM semester INNER JOIN course_offering ON semester.semester_id = course_offering.semester INNER JOIN course ON course.course_id = course_offering.course_id WHERE course.department = 'EECS' AND course.number = 890 AND semester.semester = 'Winter' AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."friday", "course_offering"."monday", "course_offering"."saturday", "course_offering"."start_time", "course_offering"."sunday", "course_offering"."thursday", "course_offering"."tuesday", "course_offering"."wednesday" FROM "semester" JOIN "course_offering" ON "course_offering"."semester" = "semester"."semester_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."department" = 'EECS' AND "course"."number" = 890 WHERE "semester"."semester" = 'Winter' AND "semester"."year" = 2016 | 0.56543 |
CREATE TABLE table_13397 ("Rank" FLOAT, "Name" CLOB, "1st run" CLOB, "2nd run" CLOB, "3rd run" CLOB, "Total" FLOAT)
| With a 3rd run of 37.805 (6), what was the 1st run? | SELECT "1st run" FROM table_13397 WHERE "3rd run" = '37.805 (6)' | SELECT "1st run" FROM "table_13397" WHERE "3rd run" = '37.805 (6)' | 0.064453 |
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
| Find the names of catalog entries with level number 8, and count them by a bar chart, list by the y-axis in ascending. | SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name ORDER BY COUNT(catalog_entry_name) | SELECT "catalog_entry_name", COUNT("catalog_entry_name") FROM "Catalog_Contents" "t1" JOIN "Catalog_Contents_Additional_Attributes" "t2" ON "8" = "t2"."catalog_level_number" AND "t1"."catalog_entry_id" = "t2"."catalog_entry_id" GROUP BY "catalog_entry_name" ORDER BY COUNT("catalog_entry_name") | 0.287109 |
CREATE TABLE table_name_65 (d_50 VARCHAR2, d_41 VARCHAR2)
| What is the D 50 when the D 41 is d 41? | SELECT d_50 FROM table_name_65 WHERE d_41 = "d 41" | SELECT "d_50" FROM "table_name_65" WHERE "d 41" = "d_41" | 0.054688 |
CREATE TABLE table_41078 ("Season" CLOB, "Division" CLOB, "Finish" CLOB, "Wins" CLOB, "Losses" CLOB, "Pct." CLOB)
| Which season has Losses of 30? | SELECT "Season" FROM table_41078 WHERE "Losses" = '30' | SELECT "Season" FROM "table_41078" WHERE "Losses" = '30' | 0.054688 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose admission location is phys referral/normal deli and diagnoses short title is acute parametritis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND diagnoses.short_title = "Acute parametritis" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute parametritis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.253906 |
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 PostTags (PostId NUMBER, TagId 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Number of new Users each month [AskDifferent]. | SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) AS CD, COUNT(*) FROM Users GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) ORDER BY CD | SELECT DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "CD", COUNT(*) FROM "Users" GROUP BY DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) ORDER BY "CD" | 0.238281 |
CREATE TABLE table_6354 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| How many tries against did the club with 48 tries for have? | SELECT "Tries against" FROM table_6354 WHERE "Tries for" = '48' | SELECT "Tries against" FROM "table_6354" WHERE "Tries for" = '48' | 0.063477 |
CREATE TABLE table_21945 ("Actor in original production" CLOB, "Actor required" CLOB, "GamePlan" CLOB, "FlatSpin" CLOB, "RolePlay" CLOB)
| How many RolePlay actors played the role requiring a 'male, younger' actor? | SELECT COUNT("RolePlay") FROM table_21945 WHERE "Actor required" = 'Male, younger' | SELECT COUNT("RolePlay") FROM "table_21945" WHERE "Actor required" = 'Male, younger' | 0.082031 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Do you know who the instructor is for Interdisciplinary English this semester ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN course ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.name LIKE '%Interdisciplinary English%' AND semester.semester = 'WN' AND semester.year = 2016 | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."name" LIKE '%Interdisciplinary English%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 | 0.498047 |
CREATE TABLE table_69554 ("Year" FLOAT, "Song" CLOB, "Work done" CLOB, "Artist ( s ) " CLOB, "Album" CLOB)
| Which 2006 Cobra Starship song has work done of guest vocals? | SELECT "Song" FROM table_69554 WHERE "Work done" = 'guest vocals' AND "Year" = '2006' AND "Artist(s)" = 'cobra starship' | SELECT "Song" FROM "table_69554" WHERE "Artist(s)" = 'cobra starship' AND "Work done" = 'guest vocals' AND "Year" = '2006' | 0.119141 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
| Show ids for all students who live in CHI. | SELECT stuid FROM student WHERE city_code = "CHI" | SELECT "stuid" FROM "student" WHERE "CHI" = "city_code" | 0.053711 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| tell me the total number of patients who stayed in careunit sicu? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'sicu') | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."careunit" = 'sicu' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.269531 |
CREATE TABLE table_52744 ("Date" CLOB, "Visiting Team" CLOB, "Final Score" CLOB, "Host Team" CLOB, "Stadium" CLOB)
| During the game at Candlestick Park, who was the visiting team? | SELECT "Visiting Team" FROM table_52744 WHERE "Stadium" = 'candlestick park' | SELECT "Visiting Team" FROM "table_52744" WHERE "Stadium" = 'candlestick park' | 0.076172 |
CREATE TABLE table_name_42 (points NUMBER, attendance VARCHAR2)
| Can you tell me the average Points that has the Attendance of 3,806? | SELECT AVG(points) FROM table_name_42 WHERE attendance = 3 OFFSET 806 | SELECT AVG("points") FROM "table_name_42" WHERE "attendance" = 3 OFFSET 806 ROWS | 0.078125 |
CREATE TABLE table_203_646 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "notes" CLOB)
| what was the first venue for the asian games ? | SELECT "venue" FROM table_203_646 WHERE "competition" = 'asian games' ORDER BY "year" LIMIT 1 | SELECT "venue" FROM "table_203_646" WHERE "competition" = 'asian games' ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.108398 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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)
| count the number of times that patient 30460 has received a transitional epithelial cells lab test in the previous year. | SELECT COUNT(*) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'transitional epithelial cells') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30460) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'transitional epithelial cells' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 30460 GROUP BY "hadm_id") SELECT COUNT(*) FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.566406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose admission type is emergency and year of birth is less than 2071? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dob_year < "2071" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2071" > "demographic"."dob_year" AND "EMERGENCY" = "demographic"."admission_type" | 0.15332 |
CREATE TABLE music_festival (ID NUMBER, Music_Festival CLOB, Date_of_ceremony CLOB, Category CLOB, Volume NUMBER, Result CLOB)
CREATE TABLE volume (Volume_ID NUMBER, Volume_Issue CLOB, Issue_Date CLOB, Weeks_on_Top FLOAT, Song CLOB, Artist_ID NUMBER)
CREATE TABLE artist (Artist_ID NUMBER, Artist CLOB, Age NUMBER, Famous_Title CLOB, Famous_Release_date CLOB)
| Return the results of all music festivals using a bar chart, and I want to rank x-axis from low to high order. | SELECT Result, COUNT(Result) FROM music_festival GROUP BY Result ORDER BY Result | SELECT "Result", COUNT("Result") FROM "music_festival" GROUP BY "Result" ORDER BY "Result" | 0.087891 |
CREATE TABLE table_name_18 (starts VARCHAR2, wins VARCHAR2, money_list_rank VARCHAR2)
| Which total number of starts has more than 2 wins and a money list rank greater than 1? | SELECT COUNT(starts) FROM table_name_18 WHERE wins > 2 AND money_list_rank > 1 | SELECT COUNT("starts") FROM "table_name_18" WHERE "money_list_rank" > 1 AND "wins" > 2 | 0.083984 |
CREATE TABLE table_11214772_1 (runner_up VARCHAR2, location VARCHAR2, year VARCHAR2)
| who is the runner-up where location is ellenton, fl and year is 2004 | SELECT runner_up FROM table_11214772_1 WHERE location = "Ellenton, FL" AND year = "2004" | SELECT "runner_up" FROM "table_11214772_1" WHERE "2004" = "year" AND "Ellenton, FL" = "location" | 0.09375 |
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find email and salary , and visualize them by a bar chart, rank total number in descending order. | SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC | SELECT "EMAIL", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC | 0.182617 |
CREATE TABLE table_203_877 (id NUMBER, "year" NUMBER, "single" CLOB, "us cashbox" NUMBER, "us hot 100" NUMBER, "uk singles" NUMBER)
| what is the total number of singles released ? | SELECT COUNT("single") FROM table_203_877 | SELECT COUNT("single") FROM "table_203_877" | 0.041992 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 ta (campus_job_id NUMBER, student_id NUMBER, location 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 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 area (course_id NUMBER, area VARCHAR2)
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 course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| 281 , does it have a lab ? | SELECT COUNT(*) > 0 FROM course WHERE department = 'EECS' AND has_lab = 'Y' AND number = 281 | SELECT COUNT(*) > 0 FROM "course" WHERE "department" = 'EECS' AND "has_lab" = 'Y' AND "number" = 281 | 0.097656 |
CREATE TABLE table_17641206_6 (original_title VARCHAR2, written_by VARCHAR2)
| Name the total number of original titles written by john sullivan and keith lindsay | SELECT COUNT(original_title) FROM table_17641206_6 WHERE written_by = "John Sullivan and Keith Lindsay" | SELECT COUNT("original_title") FROM "table_17641206_6" WHERE "John Sullivan and Keith Lindsay" = "written_by" | 0.106445 |
CREATE TABLE table_6175 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Winner" CLOB, "Score" CLOB, "1st prize ( $ ) " FLOAT)
| Which Tournament has a Location of texas, and a Winner of tom watson (39)? | SELECT "Tournament" FROM table_6175 WHERE "Location" = 'texas' AND "Winner" = 'tom watson (39)' | SELECT "Tournament" FROM "table_6175" WHERE "Location" = 'texas' AND "Winner" = 'tom watson (39)' | 0.094727 |
CREATE TABLE table_3472 ("District" FLOAT, "Senator" CLOB, "Party" CLOB, "Residence" CLOB, "First elected" CLOB, "Term Limited" FLOAT)
| What is the party affiliation for Senator David Goodman? | SELECT "Party" FROM table_3472 WHERE "Senator" = 'David Goodman' | SELECT "Party" FROM "table_3472" WHERE "Senator" = 'David Goodman' | 0.064453 |
CREATE TABLE table_name_48 (number_of_seasons_in_top_division NUMBER, position_in_2012_13 VARCHAR2, number_of_seasons_in_the_premier_league VARCHAR2)
| I want the sum of number of seasons in top division for position in 2012-13 of 009 9th and number of seasons in premier league less than 3 | SELECT SUM(number_of_seasons_in_top_division) FROM table_name_48 WHERE position_in_2012_13 = "009 9th" AND number_of_seasons_in_the_premier_league < 3 | SELECT SUM("number_of_seasons_in_top_division") FROM "table_name_48" WHERE "009 9th" = "position_in_2012_13" AND "number_of_seasons_in_the_premier_league" < 3 | 0.154297 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 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 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 those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of email and manager_id . | SELECT EMAIL, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMAIL", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.164063 |
CREATE TABLE table_19704392_1 (rpm NUMBER, standard_speed__6th_gear_ VARCHAR2)
| When the standard speed (6th gear) is 114, what is the minimum rpm? | SELECT MIN(rpm) FROM table_19704392_1 WHERE standard_speed__6th_gear_ = "114" | SELECT MIN("rpm") FROM "table_19704392_1" WHERE "114" = "standard_speed__6th_gear_" | 0.081055 |
CREATE TABLE table_name_53 (cars_entered NUMBER, third_driver VARCHAR2)
| How many average Cars Entered have a Third Driver of manny ayulo? | SELECT AVG(cars_entered) FROM table_name_53 WHERE third_driver = "manny ayulo" | SELECT AVG("cars_entered") FROM "table_name_53" WHERE "manny ayulo" = "third_driver" | 0.082031 |
CREATE TABLE table_15498 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Notes" CLOB)
| What notes have the 8th position? | SELECT "Notes" FROM table_15498 WHERE "Position" = '8th' | SELECT "Notes" FROM "table_15498" WHERE "Position" = '8th' | 0.056641 |
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 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 whose admission location is clinic referral/premature and diagnoses icd9 code is 2800? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.icd9_code = "2800" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2800" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.238281 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
| show me all DL flights from MONTREAL to ORLANDO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ORLANDO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MONTREAL' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'DL' | 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" = 'ORLANDO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'DL' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MONTREAL' | 0.517578 |
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 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
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 those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, and rank by the Y in asc. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(MANAGER_ID) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("MANAGER_ID") | 0.111328 |
CREATE TABLE table_name_82 (event VARCHAR2, medal VARCHAR2, games VARCHAR2)
| What event did Pakistan get the bronze medal at the 1988 Seoul Games? | SELECT event FROM table_name_82 WHERE medal = "bronze" AND games = "1988 seoul" | SELECT "event" FROM "table_name_82" WHERE "1988 seoul" = "games" AND "bronze" = "medal" | 0.084961 |
CREATE TABLE Timed_Locations_of_Things (thing_id NUMBER, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Properties (property_id NUMBER, property_type_code CHAR, property_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Residents (resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR2)
CREATE TABLE Customer_Events (Customer_Event_ID NUMBER, customer_id NUMBER, date_moved_in DATETIME, property_id NUMBER, resident_id NUMBER, thing_id NUMBER)
CREATE TABLE Organizations (organization_id NUMBER, parent_organization_id NUMBER, organization_details VARCHAR2)
CREATE TABLE Residents_Services (resident_id NUMBER, service_id NUMBER, date_moved_in DATETIME, property_id NUMBER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR2)
CREATE TABLE Things (thing_id NUMBER, organization_id NUMBER, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Timed_Status_of_Things (thing_id NUMBER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID NUMBER, Customer_Event_ID NUMBER, service_type_code CHAR, resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME)
CREATE TABLE Services (service_id NUMBER, organization_id NUMBER, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_details VARCHAR2)
| Just list the customer event id and the corresponding move property id using a scatter. | SELECT Customer_Event_ID, property_id FROM Customer_Events | SELECT "Customer_Event_ID", "property_id" FROM "Customer_Events" | 0.0625 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Give me a bar chart to show the names and revenue of the company that earns the highest revenue in each headquarter city, could you display from low to high by the X please? | SELECT Name, MAX(Revenue) FROM Manufacturers GROUP BY Headquarter ORDER BY Name | SELECT "Name", MAX("Revenue") FROM "Manufacturers" GROUP BY "Headquarter" ORDER BY "Name" | 0.086914 |
CREATE TABLE happy_hour_member (hh_id NUMBER, member_id NUMBER, total_amount NUMBER)
CREATE TABLE member (member_id NUMBER, name CLOB, membership_card CLOB, age NUMBER, time_of_purchase NUMBER, level_of_membership NUMBER, address CLOB)
CREATE TABLE happy_hour (hh_id NUMBER, shop_id NUMBER, month CLOB, num_of_shaff_in_charge NUMBER)
CREATE TABLE shop (shop_id NUMBER, address CLOB, num_of_staff CLOB, score NUMBER, open_year CLOB)
| which shop has happy hour most frequently? List its id and number of happy hours. | SELECT shop_id, COUNT(*) FROM happy_hour GROUP BY shop_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "shop_id", COUNT(*) FROM "happy_hour" GROUP BY "shop_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.107422 |
CREATE TABLE table_27102 ("Total" FLOAT, "#" FLOAT, "Title" CLOB, "Director" CLOB, "Writer ( s ) " CLOB, "Viewers" CLOB, "Air date" CLOB, "Production code" FLOAT)
| When 9 is the number what is the title? | SELECT "Title" FROM table_27102 WHERE "#" = '9' | SELECT "Title" FROM "table_27102" WHERE "#" = '9' | 0.047852 |
CREATE TABLE table_21312 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location/Attendance" CLOB, "Record" CLOB)
| Namethe score for july 16 | SELECT "Score" FROM table_21312 WHERE "Date" = 'July 16' | SELECT "Score" FROM "table_21312" WHERE "Date" = 'July 16' | 0.056641 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Metrics - Users - Accumulated PU Ratio by Quarter. | SELECT r AS Registrated, COUNT(1) AS Users, SUM(s) AS Writers, ROUND(SUM(s) * 100.0 / COUNT(1), 2) AS "writers_%" FROM (SELECT u.Id, (CASE WHEN SUM(CASE WHEN p.PostTypeId = 2 AND (p.Score >= @minVote) THEN 1 ELSE 0 END) >= @minPost THEN 1 ELSE 0 END) AS s, (TIME_TO_STR(u.CreationDate, '%Y') * 100 + TIME_TO_STR(u.CreationDate, '%q')) AS r FROM Users AS u LEFT JOIN Posts AS p ON p.OwnerUserId = u.Id GROUP BY u.Id, u.CreationDate) AS X GROUP BY r ORDER BY r | WITH "X" AS (SELECT MAX(1) AS "_" FROM "Users" "u" LEFT JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" GROUP BY "u"."Id", "u"."CreationDate") SELECT "r" AS "Registrated", COUNT(1) AS "Users", SUM("s") AS "Writers", ROUND(SUM("s") * 100.0 / NULLIF(COUNT(1), 0), 2) AS "writers_%" FROM "X" "X" GROUP BY "r" ORDER BY "r" | 0.311523 |
CREATE TABLE table_10319 ("Class" CLOB, "Wheel arrangement" CLOB, "LCDR number ( s ) " CLOB, "SECR numbers" CLOB, "Manufacturer" CLOB, "Year made" CLOB, "Quantity made" CLOB, "Quantity preserved" CLOB, "Year ( s ) withdrawn" CLOB)
| What year was the locomotive withdrawn that was made in 1876? | SELECT "Year(s) withdrawn" FROM table_10319 WHERE "Year made" = '1876' | SELECT "Year(s) withdrawn" FROM "table_10319" WHERE "Year made" = '1876' | 0.070313 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE voting_record (stuid NUMBER, registration_date CLOB, election_cycle CLOB, president_vote NUMBER, vice_president_vote NUMBER, secretary_vote NUMBER, treasurer_vote NUMBER, class_president_vote NUMBER, class_senator_vote NUMBER)
| What are the distinct first names of the students who have vice president votes and reside in a city whose city code is not PIT? | SELECT DISTINCT T1.fname FROM student AS T1 JOIN voting_record AS T2 ON T1.stuid = T2.vice_president_vote EXCEPT SELECT DISTINCT fname FROM student WHERE city_code = "PIT" | SELECT DISTINCT "T1"."fname" FROM "student" "T1" JOIN "voting_record" "T2" ON "T1"."stuid" = "T2"."vice_president_vote" EXCEPT SELECT DISTINCT "fname" FROM "student" WHERE "PIT" = "city_code" | 0.186523 |
CREATE TABLE table_25256 ("Conference" CLOB, "Regular Season Winner" CLOB, "Conference Player of the Year" CLOB, "Conference Tournament" CLOB, "Tournament Venue ( City ) " CLOB, "Tournament Winner" CLOB)
| When Princeton was the regular season winner, who was the tournament winner? | SELECT "Tournament Winner" FROM table_25256 WHERE "Regular Season Winner" = 'Princeton' | SELECT "Tournament Winner" FROM "table_25256" WHERE "Regular Season Winner" = 'Princeton' | 0.086914 |
CREATE TABLE table_name_36 (country VARCHAR2, year_opened VARCHAR2, span_feet VARCHAR2, material VARCHAR2, span_metres VARCHAR2)
| Which country's material was concrete when the span metres were less than 270, span feet is more than 837, and the year opened was 1943? | SELECT country FROM table_name_36 WHERE material = "concrete" AND span_metres < 270 AND span_feet > 837 AND year_opened = "1943" | SELECT "country" FROM "table_name_36" WHERE "1943" = "year_opened" AND "concrete" = "material" AND "span_feet" > 837 AND "span_metres" < 270 | 0.136719 |
CREATE TABLE table_66028 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the hioghest amount of silver medals for a nation ranked higher than 19 and less than 2 gold medals? | SELECT MAX("Silver") FROM table_66028 WHERE "Rank" = '19' AND "Gold" < '2' | SELECT MAX("Silver") FROM "table_66028" WHERE "Gold" < '2' AND "Rank" = '19' | 0.074219 |
CREATE TABLE table_name_39 (ship VARCHAR2, tonnage VARCHAR2, nationality VARCHAR2, date VARCHAR2)
| What is Ship, when Nationality is 'Syria', and when Date is '26 June 1943', and when Tonnage is '80'? | SELECT ship FROM table_name_39 WHERE nationality = "syria" AND date = "26 june 1943" AND tonnage = 80 | SELECT "ship" FROM "table_name_39" WHERE "26 june 1943" = "date" AND "nationality" = "syria" AND "tonnage" = 80 | 0.108398 |
CREATE TABLE table_name_82 (overall NUMBER, position VARCHAR2, round VARCHAR2)
| Which Overall has a Position of te, and a Round larger than 5? | SELECT AVG(overall) FROM table_name_82 WHERE position = "te" AND round > 5 | SELECT AVG("overall") FROM "table_name_82" WHERE "position" = "te" AND "round" > 5 | 0.080078 |
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity 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 prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
| What are the room numbers and corresponding buildings for classrooms which can seat between 50 to 100 students? | SELECT building, room_number FROM classroom WHERE capacity BETWEEN 50 AND 100 | SELECT "building", "room_number" FROM "classroom" WHERE "capacity" <= 100 AND "capacity" >= 50 | 0.091797 |
CREATE TABLE table_17335602_1 (winning_score VARCHAR2, tournament VARCHAR2)
| How many winning scores were there in the rr donnelley lpga founders cup? | SELECT COUNT(winning_score) FROM table_17335602_1 WHERE tournament = "RR Donnelley LPGA Founders Cup" | SELECT COUNT("winning_score") FROM "table_17335602_1" WHERE "RR Donnelley LPGA Founders Cup" = "tournament" | 0.104492 |
CREATE TABLE table_69471 ("Year" FLOAT, "Round 1" CLOB, "Round 2" CLOB, "Place" FLOAT, "Money ( $ ) " FLOAT)
| Round 1 of 66, and a Money ($) larger than 400,000 has what sum of year? | SELECT SUM("Year") FROM table_69471 WHERE "Round 1" = '66' AND "Money ($)" > '400,000' | SELECT SUM("Year") FROM "table_69471" WHERE "Money ($)" > '400,000' AND "Round 1" = '66' | 0.085938 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Tell me the number of patients with unspecified retention of urine diagnoses who had other body fluid lab tests done. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Retention urine NOS" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Retention urine NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.27832 |
CREATE TABLE table_34780 ("County" CLOB, "Monument name" CLOB, "Year built" FLOAT, "City or Town" CLOB, "Latitude" CLOB, "Longitude" CLOB)
| What Monument was built after 1887 in Warren County? | SELECT "Monument name" FROM table_34780 WHERE "Year built" > '1887' AND "County" = 'warren' | SELECT "Monument name" FROM "table_34780" WHERE "County" = 'warren' AND "Year built" > '1887' | 0.09082 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is admission time and diagnoses icd9 code of subject id 1875? | SELECT demographic.admittime, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "1875" | SELECT "demographic"."admittime", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1875" = "demographic"."subject_id" | 0.181641 |
CREATE TABLE table_name_21 (home_team VARCHAR2, crowd NUMBER)
| Who played as the home team when the attendance was more than 30,080? | SELECT home_team FROM table_name_21 WHERE crowd > 30 OFFSET 080 | SELECT "home_team" FROM "table_name_21" WHERE "crowd" > 30 OFFSET 080 ROWS | 0.072266 |
CREATE TABLE table_36666 ("Couple" CLOB, "Score" CLOB, "Style" CLOB, "Music" CLOB, "Result" CLOB)
| What was the result for Steve & Anna when the score was 21 (7, 7, 7)? | SELECT "Result" FROM table_36666 WHERE "Score" = '21 (7, 7, 7)' AND "Couple" = 'steve & anna' | SELECT "Result" FROM "table_36666" WHERE "Couple" = 'steve & anna' AND "Score" = '21 (7, 7, 7)' | 0.092773 |
CREATE TABLE table_name_55 (province VARCHAR2, election NUMBER)
| What province has an election after 2009? | SELECT province FROM table_name_55 WHERE election > 2009 | SELECT "province" FROM "table_name_55" WHERE "election" > 2009 | 0.060547 |
CREATE TABLE table_name_8 (grid VARCHAR2, time_retired VARCHAR2)
| What was the grid for suspension time/retired? | SELECT grid FROM table_name_8 WHERE time_retired = "suspension" | SELECT "grid" FROM "table_name_8" WHERE "suspension" = "time_retired" | 0.067383 |
CREATE TABLE table_65331 ("Vessel" CLOB, "Origin" CLOB, "Type" CLOB, "In service" FLOAT, "Unit" CLOB)
| For the vessel with a listed In service of 1, what is the origin given? | SELECT "Origin" FROM table_65331 WHERE "In service" = '1' | SELECT "Origin" FROM "table_65331" WHERE "In service" = '1' | 0.057617 |
CREATE TABLE table_name_92 (rider VARCHAR2, time VARCHAR2)
| Which Rider has a 1:06.02.0 Time? | SELECT rider FROM table_name_92 WHERE time = "1:06.02.0" | SELECT "rider" FROM "table_name_92" WHERE "1:06.02.0" = "time" | 0.060547 |
CREATE TABLE table_16357 ("Rank" FLOAT, "English title" CLOB, "Chinese title" CLOB, "Average" FLOAT, "Peak" FLOAT, "Premiere" FLOAT, "Finale" FLOAT, "HK viewers" CLOB)
| How many are listed under | SELECT COUNT("Peak") FROM table_16357 WHERE "Chinese title" = '潮爆大狀' | SELECT COUNT("Peak") FROM "table_16357" WHERE "Chinese title" = '潮爆大狀' | 0.068359 |
CREATE TABLE apartment_facilities (apt_id NUMBER, facility_code CLOB)
CREATE TABLE apartment_bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CLOB, booking_start_date TIME, booking_end_date TIME)
CREATE TABLE view_unit_status (apt_id NUMBER, apt_booking_id NUMBER, status_date TIME, available_yn others)
CREATE TABLE apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CLOB, apt_number CLOB, bathroom_count NUMBER, bedroom_count NUMBER, room_count CLOB)
CREATE TABLE apartment_buildings (building_id NUMBER, building_short_name CLOB, building_full_name CLOB, building_description CLOB, building_address CLOB, building_manager CLOB, building_phone CLOB)
CREATE TABLE guests (guest_id NUMBER, gender_code CLOB, guest_first_name CLOB, guest_last_name CLOB, date_of_birth TIME)
| What are the address and phone number of the buildings managed by 'Brenden'? | SELECT building_address, building_phone FROM apartment_buildings WHERE building_manager = "Brenden" | SELECT "building_address", "building_phone" FROM "apartment_buildings" WHERE "Brenden" = "building_manager" | 0.104492 |
CREATE TABLE table_name_74 (games_lost NUMBER, points_against VARCHAR2, points_difference VARCHAR2)
| Which Games lost has Points against of 61, and Points difference smaller than 42? | SELECT SUM(games_lost) FROM table_name_74 WHERE points_against = 61 AND points_difference < 42 | SELECT SUM("games_lost") FROM "table_name_74" WHERE "points_against" = 61 AND "points_difference" < 42 | 0.099609 |
CREATE TABLE table_name_24 (constructor VARCHAR2, laps VARCHAR2, driver VARCHAR2)
| Who built michael schumacher's car that went under 31 laps? | SELECT constructor FROM table_name_24 WHERE laps < 31 AND driver = "michael schumacher" | SELECT "constructor" FROM "table_name_24" WHERE "driver" = "michael schumacher" AND "laps" < 31 | 0.092773 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| how many patients are of white russian ethnicity and born before 2101? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.dob_year < "2101" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2101" > "demographic"."dob_year" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.154297 |
CREATE TABLE table_name_97 (away_team VARCHAR2, tie_no VARCHAR2)
| What away team has a Tie no of 5? | SELECT away_team FROM table_name_97 WHERE tie_no = "5" | SELECT "away_team" FROM "table_name_97" WHERE "5" = "tie_no" | 0.058594 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| what is procedure long title of subject id 84129? | SELECT procedures.long_title FROM procedures WHERE procedures.subject_id = "84129" | SELECT "procedures"."long_title" FROM "procedures" WHERE "84129" = "procedures"."subject_id" | 0.089844 |
CREATE TABLE table_45198 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What was the tie no when Wrexham was the away team? | SELECT "Tie no" FROM table_45198 WHERE "Away team" = 'wrexham' | SELECT "Tie no" FROM "table_45198" WHERE "Away team" = 'wrexham' | 0.0625 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| how many hours had passed since the last time patient 99883 was prescribed clotrimazole on the current hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', prescriptions.startdate)) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 99883 AND admissions.dischtime IS NULL) AND prescriptions.drug = 'clotrimazole' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 99883 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "prescriptions"."startdate")) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'clotrimazole' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.463867 |
CREATE TABLE table_2580 ("No. in series" CLOB, "No. in season" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many episodes were listed as number 29 in the series? | SELECT COUNT("No. in season") FROM table_2580 WHERE "No. in series" = '29' | SELECT COUNT("No. in season") FROM "table_2580" WHERE "No. in series" = '29' | 0.074219 |
CREATE TABLE table_204_678 (id NUMBER, "record" CLOB, "athlete" CLOB, "nation" CLOB, "venue" CLOB, "date" CLOB, "#" NUMBER)
| how many records does australia hold for pole vaulting ? | SELECT COUNT("record") FROM table_204_678 WHERE "nation" = 'australia' | SELECT COUNT("record") FROM "table_204_678" WHERE "nation" = 'australia' | 0.070313 |
CREATE TABLE table_name_48 (built VARCHAR2, withdrawal VARCHAR2, notes VARCHAR2, sr_number VARCHAR2, lb VARCHAR2, sc_number VARCHAR2)
| what is the built when s.r. number is less than 2033, lb&sc number is less than 18, notes is i2 and withdrawal is cannot handle non-empty timestamp argument! 1935? | SELECT built FROM table_name_48 WHERE sr_number < 2033 AND lb & sc_number < 18 AND notes = "i2" AND withdrawal = "cannot handle non-empty timestamp argument! 1935" | SELECT "built" FROM "table_name_48" WHERE "cannot handle non-empty timestamp argument! 1935" = "withdrawal" AND "i2" = "notes" AND "sr_number" < 2033 AND "lb" & "sc_number" < 18 | 0.172852 |
CREATE TABLE bank (branch_id NUMBER, bname CLOB, no_of_customers NUMBER, city CLOB, state CLOB)
CREATE TABLE customer (cust_id CLOB, cust_name CLOB, acc_type CLOB, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_id NUMBER, state CLOB)
CREATE TABLE loan (loan_id CLOB, loan_type CLOB, cust_id CLOB, branch_id CLOB, amount NUMBER)
| List the name of all customers sorted by their account balance in ascending order. | SELECT cust_name FROM customer ORDER BY acc_bal | SELECT "cust_name" FROM "customer" ORDER BY "acc_bal" | 0.051758 |
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)
| How many patients are admitted before admission year 2145 with drug route ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2145" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2145" > "demographic"."admityear" | 0.217773 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when was the last time patient 73075 got admitted to the hospital until 2104? | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 73075 AND STRFTIME('%y', admissions.admittime) <= '2104' ORDER BY admissions.admittime DESC LIMIT 1 | SELECT "admissions"."admittime" FROM "admissions" WHERE "admissions"."subject_id" = 73075 AND STRFTIME('%y', "admissions"."admittime") <= '2104' ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY | 0.202148 |
CREATE TABLE table_name_67 (attendance NUMBER, away VARCHAR2)
| What was the attendance when the away team was Real Espana? | SELECT MIN(attendance) FROM table_name_67 WHERE away = "real espana" | SELECT MIN("attendance") FROM "table_name_67" WHERE "away" = "real espana" | 0.072266 |
CREATE TABLE table_13315 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What away team has 7 as the tie no.? | SELECT "Away team" FROM table_13315 WHERE "Tie no" = '7' | SELECT "Away team" FROM "table_13315" WHERE "Tie no" = '7' | 0.056641 |
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