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CREATE TABLE table_17256857_1 (grid VARCHAR2, driver VARCHAR2)
| How many drivers on the grid are called Vitor Meira? | SELECT COUNT(grid) FROM table_17256857_1 WHERE driver = "Vitor Meira" | SELECT COUNT("grid") FROM "table_17256857_1" WHERE "Vitor Meira" = "driver" | 0.073242 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| tell me how many patients admitted before the year 2135 have diagnoses icd9 code 2859. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2135" AND diagnoses.icd9_code = "2859" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2859" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2135" > "demographic"."admityear" | 0.208984 |
CREATE TABLE table_61388 ("Season" CLOB, "Premier" FLOAT, "First" FLOAT, "Second" FLOAT, "Total" FLOAT)
| What is the total number of Premier, when Second is '55'? | SELECT COUNT("Premier") FROM table_61388 WHERE "Second" = '55' | SELECT COUNT("Premier") FROM "table_61388" WHERE "Second" = '55' | 0.0625 |
CREATE TABLE table_27389 ("Language" CLOB, "Quillacollo Municipality" FLOAT, "Sipe Sipe Municipality" FLOAT, "Tiquipaya Municipality" FLOAT, "Vinto Municipality" FLOAT, "Colcapirhua Municipality" FLOAT)
| If the Quillacollo Municipality is 93131, what is the Vinto Municipality minimum? | SELECT MIN("Vinto Municipality") FROM table_27389 WHERE "Quillacollo Municipality" = '93131' | SELECT MIN("Vinto Municipality") FROM "table_27389" WHERE "Quillacollo Municipality" = '93131' | 0.091797 |
CREATE TABLE table_27756314_6 (high_assists VARCHAR2, date VARCHAR2)
| who had high assists on november 12? | SELECT high_assists FROM table_27756314_6 WHERE date = "November 12" | SELECT "high_assists" FROM "table_27756314_6" WHERE "November 12" = "date" | 0.072266 |
CREATE TABLE table_33071 ("Lecturers" FLOAT, "Associate professors" FLOAT, "Assistant professors" FLOAT, "Professors" FLOAT, "Total" FLOAT)
| What is the total in the case where theere are 6 lecturers and fewer than 48 professors? | SELECT AVG("Total") FROM table_33071 WHERE "Lecturers" = '6' AND "Professors" < '48' | SELECT AVG("Total") FROM "table_33071" WHERE "Lecturers" = '6' AND "Professors" < '48' | 0.083984 |
CREATE TABLE table_name_35 (tries_against VARCHAR2, club VARCHAR2)
| What was the tries again llanishen rfc? | SELECT tries_against FROM table_name_35 WHERE club = "llanishen rfc" | SELECT "tries_against" FROM "table_name_35" WHERE "club" = "llanishen rfc" | 0.072266 |
CREATE TABLE table_name_64 (in_service VARCHAR2, versions VARCHAR2)
| How many T-260 EU aircrafts are currently in service? | SELECT in_service FROM table_name_64 WHERE versions = "t-260 eu" | SELECT "in_service" FROM "table_name_64" WHERE "t-260 eu" = "versions" | 0.068359 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 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_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
| Is 398 offered next semester and when ? | 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 course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 398 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester 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 "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' AND "course"."number" = 398 | 0.561523 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| among patients who were prescribed amlodipine besylate 5 mg po tabs, what were the five most commonly prescribed drugs at the same time, during this year? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'amlodipine besylate 5 mg po tabs' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'amlodipine besylate 5 mg po tabs' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.882813 |
CREATE TABLE table_58998 ("Title" CLOB, "Developer" CLOB, "Genre" CLOB, "Release date" CLOB, "Version" FLOAT)
| What is Title, when Developer is '2Play Mobile', and when Genre is 'Action'? | SELECT "Title" FROM table_58998 WHERE "Developer" = '2play mobile' AND "Genre" = 'action' | SELECT "Title" FROM "table_58998" WHERE "Developer" = '2play mobile' AND "Genre" = 'action' | 0.088867 |
CREATE TABLE table_37957 ("Date" CLOB, "Time" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Set 3" CLOB, "Total" CLOB)
| Which Total has a Set 2 of 20 25, and a Score of 1 3? | SELECT "Total" FROM table_37957 WHERE "Set 2" = '20–25' AND "Score" = '1–3' | SELECT "Total" FROM "table_37957" WHERE "Score" = '1–3' AND "Set 2" = '20–25' | 0.075195 |
CREATE TABLE table_66836 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What is the rank with more than 40 laps and a 23 finish? | SELECT "Rank" FROM table_66836 WHERE "Laps" > '40' AND "Finish" = '23' | SELECT "Rank" FROM "table_66836" WHERE "Finish" = '23' AND "Laps" > '40' | 0.070313 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 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 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 gsi (course_offering_id NUMBER, student_id NUMBER)
| For UC 327 what prerequistes do I have already ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite, student_record WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'UC' AND COURSE_1.number = 327 AND student_record.course_id = COURSE_0.course_id AND student_record.student_id = 1 | 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 "student_record" ON "COURSE_0"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'UC' AND "COURSE_1"."number" = 327 | 0.455078 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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)
| how many times did patient 030-53717 take a lab ast (sgot) test on their last hospital visit? | SELECT COUNT(*) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-53717' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'ast (sgot)' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-53717' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_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 "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'ast (sgot)' AND NOT "_u_1"."" IS NULL | 0.612305 |
CREATE TABLE trust (source_u_id NUMBER, target_u_id NUMBER, trust NUMBER)
CREATE TABLE useracct (u_id NUMBER, name CLOB)
CREATE TABLE review (a_id NUMBER, u_id NUMBER, i_id NUMBER, rating NUMBER, rank NUMBER)
CREATE TABLE item (i_id NUMBER, title CLOB)
| Find the name and id of the item with the highest average rating. | SELECT T1.title, T1.i_id FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY AVG(T2.rating) DESC LIMIT 1 | SELECT "T1"."title", "T1"."i_id" FROM "item" "T1" JOIN "review" "T2" ON "T1"."i_id" = "T2"."i_id" GROUP BY "T2"."i_id" ORDER BY AVG("T2"."rating") DESC FETCH FIRST 1 ROWS ONLY | 0.170898 |
CREATE TABLE table_37720 ("Rank" FLOAT, "Name" CLOB, "Nationality" CLOB, "1st ( m ) " FLOAT, "2nd ( m ) " FLOAT, "Points" FLOAT, "Overall WC points ( Rank ) " CLOB)
| Which 2nd (m) has an Overall WC points (Rank) of 1632 (1), and Points larger than 273.5? | SELECT SUM("2nd (m)") FROM table_37720 WHERE "Overall WC points (Rank)" = '1632 (1)' AND "Points" > '273.5' | SELECT SUM("2nd (m)") FROM "table_37720" WHERE "Overall WC points (Rank)" = '1632 (1)' AND "Points" > '273.5' | 0.106445 |
CREATE TABLE table_name_34 (name VARCHAR2, date_from VARCHAR2)
| What is the name of the player that was loaned out on 13 August 2008 ? | SELECT name FROM table_name_34 WHERE date_from = "13 august 2008" | SELECT "name" FROM "table_name_34" WHERE "13 august 2008" = "date_from" | 0.069336 |
CREATE TABLE table_name_27 (school VARCHAR2, pick NUMBER)
| Which school was the drafted player from in a pick larger than 181? | SELECT school FROM table_name_27 WHERE pick > 181 | SELECT "school" FROM "table_name_27" WHERE "pick" > 181 | 0.053711 |
CREATE TABLE table_55645 ("Round" FLOAT, "Grand Prix" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Constructor" CLOB, "Report" CLOB)
| What was the date for the canadian grand prix? | SELECT "Date" FROM table_55645 WHERE "Grand Prix" = 'canadian grand prix' | SELECT "Date" FROM "table_55645" WHERE "Grand Prix" = 'canadian grand prix' | 0.073242 |
CREATE TABLE table_name_83 (round VARCHAR2, h___a VARCHAR2, opponents VARCHAR2)
| Rich round has an H/A of A and the opponent Sheffield United? | SELECT round FROM table_name_83 WHERE h___a = "a" AND opponents = "sheffield united" | SELECT "round" FROM "table_name_83" WHERE "a" = "h___a" AND "opponents" = "sheffield united" | 0.089844 |
CREATE TABLE table_47197 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| Which format has a region of united kingdom? | SELECT "Format" FROM table_47197 WHERE "Region" = 'united kingdom' | SELECT "Format" FROM "table_47197" WHERE "Region" = 'united kingdom' | 0.066406 |
CREATE TABLE table_50046 ("Rank" FLOAT, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What is the 2012 with a mini in 2009? | SELECT "2012" FROM table_50046 WHERE "2009" = 'mini' | SELECT "2012" FROM "table_50046" WHERE "2009" = 'mini' | 0.052734 |
CREATE TABLE mission (Mission_ID NUMBER, Ship_ID NUMBER, Code CLOB, Launched_Year NUMBER, Location CLOB, Speed_knots NUMBER, Fate CLOB)
CREATE TABLE ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Nationality CLOB, Tonnage NUMBER)
| Give me a bar chart for mean tonnage of each type, show by the bar in desc. | SELECT Type, AVG(Tonnage) FROM ship GROUP BY Type ORDER BY Type DESC | SELECT "Type", AVG("Tonnage") FROM "ship" GROUP BY "Type" ORDER BY "Type" DESC | 0.076172 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and manufacturer , and group by attribute founder, show from low to high by the Y-axis. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Manufacturer | SELECT "T1"."Name", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder", "T1"."Name" ORDER BY "T1"."Manufacturer" | 0.179688 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| report the number of patients diagnosed with percutaneous transluminal coronary angioplasty status who had home health care discharge. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.short_title = "Status-post ptca" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Status-post ptca" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" | 0.243164 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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)
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 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_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 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 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what's patient 76327's average value of osmolality, measured in 12/this year? | SELECT AVG(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76327) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'osmolality, measured') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '12' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 76327 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'osmolality, measured' GROUP BY "itemid") SELECT AVG("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '12' | 0.625977 |
CREATE TABLE table_67716 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB, "Location" CLOB)
| Which is the method under the event Jungle Fight 2? | SELECT "Method" FROM table_67716 WHERE "Event" = 'jungle fight 2' | SELECT "Method" FROM "table_67716" WHERE "Event" = 'jungle fight 2' | 0.06543 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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)
| when is the birth date of patient 61527? | SELECT patients.dob FROM patients WHERE patients.subject_id = 61527 | SELECT "patients"."dob" FROM "patients" WHERE "patients"."subject_id" = 61527 | 0.075195 |
CREATE TABLE table_41339 ("Week" FLOAT, "Date" CLOB, "Time" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "NFL Recap" CLOB, "Record" CLOB)
| What is the Record for week 12? | SELECT "Record" FROM table_41339 WHERE "Week" = '12' | SELECT "Record" FROM "table_41339" WHERE "Week" = '12' | 0.052734 |
CREATE TABLE table_name_5 (bluetooth VARCHAR2, wifi VARCHAR2, launch_year VARCHAR2, rom___mib__ VARCHAR2)
| What was the status of Bluetooth for the model that launched after 2004 with a ROM (MiB) of 128 and a Wifi of 802.11b? | SELECT bluetooth FROM table_name_5 WHERE launch_year > 2004 AND rom___mib__ = 128 AND wifi = "802.11b" | SELECT "bluetooth" FROM "table_name_5" WHERE "802.11b" = "wifi" AND "launch_year" > 2004 AND "rom___mib__" = 128 | 0.109375 |
CREATE TABLE table_name_74 (win__percentage NUMBER, year VARCHAR2, crew VARCHAR2)
| What is the total of win percentages when the year is 2008 and the crew is varsity 8+? | SELECT SUM(win__percentage) FROM table_name_74 WHERE year = "2008" AND crew = "varsity 8+" | SELECT SUM("win__percentage") FROM "table_name_74" WHERE "2008" = "year" AND "crew" = "varsity 8+" | 0.095703 |
CREATE TABLE table_74694 ("Tujunga" CLOB, "La Crescenta- Montrose" CLOB, "Glendale" CLOB, "La Ca\\u00f1ada Flintridge" CLOB, "Pasadena" CLOB)
| What is the percentage of Glendale when La Canada Flintridge is 5%? | SELECT "Glendale" FROM table_74694 WHERE "La Ca\u00f1ada Flintridge" = '5%' | SELECT "Glendale" FROM "table_74694" WHERE "La Ca\u00f1ada Flintridge" = '5%' | 0.075195 |
CREATE TABLE table_58948 ("Binary" FLOAT, "Octal" FLOAT, "Decimal" FLOAT, "Hexadecimal" FLOAT, "Glyph" FLOAT)
| What is the average hexadecimal with a decimal greater than 57? | SELECT AVG("Hexadecimal") FROM table_58948 WHERE "Decimal" > '57' | SELECT AVG("Hexadecimal") FROM "table_58948" WHERE "Decimal" > '57' | 0.06543 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| give me the number of patients whose diagnoses long title is personal history of malignant neoplasm of other gastrointestinal tract and lab test abnormal status is abnormal? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Personal history of malignant neoplasm of other gastrointestinal tract" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Personal history of malignant neoplasm of other gastrointestinal tract" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.318359 |
CREATE TABLE table_60272 ("Team 1" CLOB, "Score" CLOB, "Team 2" CLOB, "1st round" CLOB, "2nd round" CLOB)
| What was the score of team 2 Stade Lavallois (D1)? | SELECT "Score" FROM table_60272 WHERE "Team 2" = 'stade lavallois (d1)' | SELECT "Score" FROM "table_60272" WHERE "Team 2" = 'stade lavallois (d1)' | 0.071289 |
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)
| count the number of patients less than 80 years of age who have asian ethnic background. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.age < "80" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "80" > "demographic"."age" AND "ASIAN" = "demographic"."ethnicity" | 0.137695 |
CREATE TABLE table_204_613 (id NUMBER, "title" CLOB, "year" NUMBER, "peak chart positions\ us" NUMBER, "peak chart positions\ us\ r&b" NUMBER, "peak chart positions\ us\ rap" NUMBER, "album" CLOB)
| which song did he make after 2012 ? | SELECT "title" FROM table_204_613 WHERE "year" > 2012 | SELECT "title" FROM "table_204_613" WHERE "year" > 2012 | 0.053711 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose religion is protestant quaker and procedure short title is int insert 1-cham, rate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.religion = "PROTESTANT QUAKER" AND procedures.short_title = "Int insert 1-cham, rate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Int insert 1-cham, rate" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "PROTESTANT QUAKER" = "demographic"."religion" | 0.244141 |
CREATE TABLE table_23612 ("Year" FLOAT, "Author ( s ) or Editor ( s ) " CLOB, "Book Title" CLOB, "Publisher" CLOB, "Category" CLOB, "Result" CLOB)
| How many authors or editors are there for the book title elf child? | SELECT COUNT("Author(s) or Editor(s)") FROM table_23612 WHERE "Book Title" = 'Elf Child' | SELECT COUNT("Author(s) or Editor(s)") FROM "table_23612" WHERE "Book Title" = 'Elf Child' | 0.087891 |
CREATE TABLE table_21458142_1 (publisher VARCHAR2, genre VARCHAR2)
| Who published the title in the pet-raising simulator genre? | SELECT publisher FROM table_21458142_1 WHERE genre = "Pet-raising simulator" | SELECT "publisher" FROM "table_21458142_1" WHERE "Pet-raising simulator" = "genre" | 0.080078 |
CREATE TABLE table_18540104_1 (japanese_title VARCHAR2, average_ratings VARCHAR2)
| What is the Japanese title with an average rating of 11.6%? | SELECT japanese_title FROM table_18540104_1 WHERE average_ratings = "11.6%" | SELECT "japanese_title" FROM "table_18540104_1" WHERE "11.6%" = "average_ratings" | 0.079102 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what are the numbers of patients who have had a scarification of pleura two or more times since 2105? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'scarification of pleura') AND STRFTIME('%y', procedures_icd.charttime) >= '2105' GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 >= 2 | WITH "t1" AS (SELECT "admissions"."subject_id", COUNT(*) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'scarification of pleura' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2105' GROUP BY "admissions"."subject_id") SELECT COUNT(DISTINCT "t1"."subject_id") FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.475586 |
CREATE TABLE table_name_74 (week VARCHAR2, opponent VARCHAR2, attendance VARCHAR2)
| Which Week has an Opponent of washington redskins, and an Attendance larger than 56,077? | SELECT COUNT(week) FROM table_name_74 WHERE opponent = "washington redskins" AND attendance > 56 OFFSET 077 | SELECT COUNT("week") FROM "table_name_74" WHERE "attendance" > 56 AND "opponent" = "washington redskins" OFFSET 077 ROWS | 0.117188 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE area (course_id NUMBER, area 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| CS majors require which LHC prerequisites ? | SELECT DISTINCT course.department, course.name, course.number FROM program_course INNER JOIN course ON program_course.course_id = course.course_id WHERE course.department = 'LHC' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "program_course" JOIN "course" ON "course"."course_id" = "program_course"."course_id" AND "course"."department" = 'LHC' | 0.193359 |
CREATE TABLE table_55259 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| Which tournament had a score of 6 4, 4 6, 7 5? | SELECT "Tournament" FROM table_55259 WHERE "Score" = '6–4, 4–6, 7–5' | SELECT "Tournament" FROM "table_55259" WHERE "Score" = '6–4, 4–6, 7–5' | 0.068359 |
CREATE TABLE table_57902 ("Season" FLOAT, "Div." CLOB, "Tms." FLOAT, "Pos." FLOAT, "Attendance/G" FLOAT, "Emperor's Cup" CLOB)
| How many seasons did the Div J1 have the Emperor's cup in the 3rd round with Tms of more than 18? | SELECT COUNT("Season") FROM table_57902 WHERE "Emperor's Cup" = '3rd round' AND "Div." = 'j1' AND "Tms." > '18' | SELECT COUNT("Season") FROM "table_57902" WHERE "Div." = 'j1' AND "Emperor's Cup" = '3rd round' AND "Tms." > '18' | 0.110352 |
CREATE TABLE table_22344463_2 (position VARCHAR2, height VARCHAR2)
| If the height is 181cm, what was the position? | SELECT position FROM table_22344463_2 WHERE height = "181cm" | SELECT "position" FROM "table_22344463_2" WHERE "181cm" = "height" | 0.064453 |
CREATE TABLE table_name_33 (aggregate VARCHAR2)
| What was the 1st leg that had a 4-2 aggregate? | SELECT 1 AS st_leg FROM table_name_33 WHERE aggregate = "4-2" | SELECT 1 AS "st_leg" FROM "table_name_33" WHERE "4-2" = "aggregate" | 0.06543 |
CREATE TABLE table_name_69 (date VARCHAR2, edition VARCHAR2, result VARCHAR2)
| What date was the 1988 world group i edition with a result of 7 6 (7 5) , 6 3? | SELECT date FROM table_name_69 WHERE edition = "1988 world group i" AND result = "7–6 (7–5) , 6–3" | SELECT "date" FROM "table_name_69" WHERE "1988 world group i" = "edition" AND "7–6 (7–5) , 6–3" = "result" | 0.103516 |
CREATE TABLE table_9418 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "School/Club Team" CLOB)
| Which player has fewer than 2 rounds? | SELECT "Player" FROM table_9418 WHERE "Round" < '2' | SELECT "Player" FROM "table_9418" WHERE "Round" < '2' | 0.051758 |
CREATE TABLE table_name_27 (position VARCHAR2, pick VARCHAR2, school_club_team VARCHAR2)
| Which position at UCLA has a lower than 92 pick number? | SELECT position FROM table_name_27 WHERE pick < 92 AND school_club_team = "ucla" | SELECT "position" FROM "table_name_27" WHERE "pick" < 92 AND "school_club_team" = "ucla" | 0.085938 |
CREATE TABLE table_name_24 (seasons VARCHAR2, driver VARCHAR2)
| Which seasons have fernando alonso as the driver? | SELECT seasons FROM table_name_24 WHERE driver = "fernando alonso" | SELECT "seasons" FROM "table_name_24" WHERE "driver" = "fernando alonso" | 0.070313 |
CREATE TABLE table_name_20 (against NUMBER, wins VARCHAR2, losses VARCHAR2)
| What is the highest number listed under against when there were less than 3 wins and less than 15 losses? | SELECT MAX(against) FROM table_name_20 WHERE wins < 3 AND losses < 15 | SELECT MAX("against") FROM "table_name_20" WHERE "losses" < 15 AND "wins" < 3 | 0.075195 |
CREATE TABLE table_name_24 (wednesday VARCHAR2, day_3 VARCHAR2)
| What is the Wednesday when day 3 is math? | SELECT wednesday FROM table_name_24 WHERE day_3 = "math" | SELECT "wednesday" FROM "table_name_24" WHERE "day_3" = "math" | 0.060547 |
CREATE TABLE table_dev_16 ("id" NUMBER, "white_blood_cell_count_wbc" NUMBER, "autoimmune_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "platelet_count" FLOAT, "collagen_vascular_disease" BOOLEAN, "hypertension" BOOLEAN, "systemic_corticosteroids" BOOLEAN, "NOUSE" FLOAT)
| white blood count < 3 | SELECT * FROM table_dev_16 WHERE white_blood_cell_count_wbc < 3 | SELECT * FROM "table_dev_16" WHERE "white_blood_cell_count_wbc" < 3 | 0.06543 |
CREATE TABLE table_7783 ("Year" FLOAT, "Tournament" CLOB, "Surface" CLOB, "Round" CLOB, "Winner" CLOB, "Score" CLOB)
| What is Round, when Tournament is 'Paris'? | SELECT "Round" FROM table_7783 WHERE "Tournament" = 'paris' | SELECT "Round" FROM "table_7783" WHERE "Tournament" = 'paris' | 0.05957 |
CREATE TABLE table_name_3 (uci_rating NUMBER, race_name VARCHAR2)
| What is Vuelta a Ecuador's lowest UCI Rating? | SELECT MIN(uci_rating) FROM table_name_3 WHERE race_name = "vuelta a ecuador" | SELECT MIN("uci_rating") FROM "table_name_3" WHERE "race_name" = "vuelta a ecuador" | 0.081055 |
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 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 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how many current patients are of age 50s? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL AND patient.age BETWEEN 50 AND 59 | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."age" <= 59 AND "patient"."age" >= 50 AND "patient"."hospitaldischargetime" IS NULL | 0.155273 |
CREATE TABLE table_49743 ("Game" FLOAT, "January" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What is the sum of the games before January 19 with a 27-6-6 record? | SELECT SUM("Game") FROM table_49743 WHERE "January" < '19' AND "Record" = '27-6-6' | SELECT SUM("Game") FROM "table_49743" WHERE "January" < '19' AND "Record" = '27-6-6' | 0.082031 |
CREATE TABLE table_1676073_13 (won VARCHAR2, points_for VARCHAR2)
| How many wins does the club with 565 points for have? | SELECT won FROM table_1676073_13 WHERE points_for = "565" | SELECT "won" FROM "table_1676073_13" WHERE "565" = "points_for" | 0.061523 |
CREATE TABLE table_24256 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| in the number of episode in season is 11, who was the writer? | SELECT "Written by" FROM table_24256 WHERE "No. in season" = '11' | SELECT "Written by" FROM "table_24256" WHERE "No. in season" = '11' | 0.06543 |
CREATE TABLE table_59621 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Which country has -9 to par with a Score of 70-69-68=207? | SELECT "Country" FROM table_59621 WHERE "To par" = '-9' AND "Score" = '70-69-68=207' | SELECT "Country" FROM "table_59621" WHERE "Score" = '70-69-68=207' AND "To par" = '-9' | 0.083984 |
CREATE TABLE table_name_50 (earnings__ NUMBER, wins VARCHAR2, rank VARCHAR2)
| Which player has the lowest earnings and has at least 4 wins and is ranked higher than 4? | SELECT MIN(earnings__) AS $__ FROM table_name_50 WHERE wins = 4 AND rank > 4 | SELECT MIN("earnings__") AS "$__" FROM "table_name_50" WHERE "rank" > 4 AND "wins" = 4 | 0.083984 |
CREATE TABLE table_55797 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| Which Constructor has a Grid less than 17, Laps under 52, and Olivier Panis as the Driver? | SELECT "Constructor" FROM table_55797 WHERE "Grid" < '17' AND "Laps" < '52' AND "Driver" = 'olivier panis' | SELECT "Constructor" FROM "table_55797" WHERE "Driver" = 'olivier panis' AND "Grid" < '17' AND "Laps" < '52' | 0.105469 |
CREATE TABLE table_72272 ("Year" FLOAT, "Mens singles" CLOB, "Womens singles" CLOB, "Mens doubles" CLOB, "Womens doubles" CLOB, "Mixed doubles" CLOB)
| What is the womens singles of marcus ellis gabrielle white? | SELECT "Womens singles" FROM table_72272 WHERE "Mixed doubles" = 'Marcus Ellis Gabrielle White' | SELECT "Womens singles" FROM "table_72272" WHERE "Mixed doubles" = 'Marcus Ellis Gabrielle White' | 0.094727 |
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 diagnosed with icd9 code 44020 and tested under category hematology in lab? | 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.icd9_code = "44020" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "44020" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.259766 |
CREATE TABLE table_11173827_1 (rank VARCHAR2, chinese_title VARCHAR2)
| What is the rank of the chinese title ? | SELECT rank FROM table_11173827_1 WHERE chinese_title = "緣來自有機" | SELECT "rank" FROM "table_11173827_1" WHERE "chinese_title" = "緣來自有機" | 0.067383 |
CREATE TABLE table_train_109 ("id" NUMBER, "serum_potassium" FLOAT, "systolic_blood_pressure_sbp" NUMBER, "body_mass_index_bmi" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| potassium > 5.5 meq / dl at baseline | SELECT * FROM table_train_109 WHERE serum_potassium > 5.5 | SELECT * FROM "table_train_109" WHERE "serum_potassium" > 5.5 | 0.05957 |
CREATE TABLE host (host_id NUMBER, name CLOB, nationality CLOB, age CLOB)
CREATE TABLE party (party_id NUMBER, party_theme CLOB, location CLOB, first_year CLOB, last_year CLOB, number_of_hosts NUMBER)
CREATE TABLE party_host (party_id NUMBER, host_id NUMBER, is_main_in_charge others)
| What are the names of hosts who did not host any party in our record? | SELECT name FROM host WHERE NOT host_id IN (SELECT host_id FROM party_host) | SELECT "name" FROM "host" WHERE NOT "host_id" IN (SELECT "host_id" FROM "party_host") | 0.083008 |
CREATE TABLE table_15079 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| For the Entrant of Sasol Jordan, add up all the points with a Year larger than 1993. | SELECT SUM("Points") FROM table_15079 WHERE "Year" > '1993' AND "Entrant" = 'sasol jordan' | SELECT SUM("Points") FROM "table_15079" WHERE "Entrant" = 'sasol jordan' AND "Year" > '1993' | 0.089844 |
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)
| provide the number of patients whose admission type is urgent and primary disease is coronary artery disease/ coronary artey bypass graft/ sda. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" = "demographic"."diagnosis" AND "URGENT" = "demographic"."admission_type" | 0.203125 |
CREATE TABLE table_name_65 (representative VARCHAR2, appointed_by VARCHAR2, presentation_of_credentials VARCHAR2)
| Name the representative appointed by george w. bush with presentation of credentials 9 november 2007 | SELECT representative FROM table_name_65 WHERE appointed_by = "george w. bush" AND presentation_of_credentials = "9 november 2007" | SELECT "representative" FROM "table_name_65" WHERE "9 november 2007" = "presentation_of_credentials" AND "appointed_by" = "george w. bush" | 0.134766 |
CREATE TABLE table_168482_1 (_number_of_seats_won NUMBER)
| What is the largest number of seats won? | SELECT MAX(_number_of_seats_won) FROM table_168482_1 | SELECT MAX("_number_of_seats_won") FROM "table_168482_1" | 0.054688 |
CREATE TABLE table_name_5 (round VARCHAR2, location VARCHAR2, time VARCHAR2)
| What is the total number of Rounds held in Nevada, United States in which the time was 1:55? | SELECT COUNT(round) FROM table_name_5 WHERE location = "nevada, united states" AND time = "1:55" | SELECT COUNT("round") FROM "table_name_5" WHERE "1:55" = "time" AND "location" = "nevada, united states" | 0.101563 |
CREATE TABLE table_67708 ("Date" CLOB, "Home captain" CLOB, "Away captain" CLOB, "Venue" CLOB, "Result" CLOB)
| For the matches with home captain Graham Gooch played on the dates 3,4,5,6,7 June 1993, what was the result? | SELECT "Result" FROM table_67708 WHERE "Home captain" = 'graham gooch' AND "Date" = '3,4,5,6,7 june 1993' | SELECT "Result" FROM "table_67708" WHERE "Date" = '3,4,5,6,7 june 1993' AND "Home captain" = 'graham gooch' | 0.104492 |
CREATE TABLE table_29688 ("Currency" CLOB, "Country" CLOB, "Generic Name or Nickname" CLOB, "Rating ( S&P / Moodys ) " CLOB, "Negotiable debt at mid-2005 ( US dollar bn equivalent ) " FLOAT, "Government financial liabilities as % of GDP ( end 2003 - source : OECD ) " CLOB, "Issuer" CLOB, "Internet site" CLOB)
| Name the currency for negotiable debt being 1300 | SELECT "Currency" FROM table_29688 WHERE "Negotiable debt at mid-2005 ( US dollar bn equivalent)" = '1300' | SELECT "Currency" FROM "table_29688" WHERE "Negotiable debt at mid-2005 ( US dollar bn equivalent)" = '1300' | 0.105469 |
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
| Display a bar chart for what is the lowest salary in departments with average salary greater than the overall average, could you list X-axis from high to low order? | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY dept_name DESC | SELECT "dept_name", MIN("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY "dept_name" DESC | 0.095703 |
CREATE TABLE Ref_Product_Categories (product_category_code VARCHAR2, product_category_description VARCHAR2, unit_of_measure VARCHAR2)
CREATE TABLE Ref_Characteristic_Types (characteristic_type_code VARCHAR2, characteristic_type_description VARCHAR2)
CREATE TABLE Ref_Colors (color_code VARCHAR2, color_description VARCHAR2)
CREATE TABLE Product_Characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value VARCHAR2)
CREATE TABLE Characteristics (characteristic_id NUMBER, characteristic_type_code VARCHAR2, characteristic_data_type VARCHAR2, characteristic_name VARCHAR2, other_characteristic_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, color_code VARCHAR2, product_category_code VARCHAR2, product_name VARCHAR2, typical_buying_price VARCHAR2, typical_selling_price VARCHAR2, product_description VARCHAR2, other_product_details VARCHAR2)
| Find the number of the category descriptions of the products whose descriptions include letter 't', and order total number in ascending order. | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY COUNT(product_category_description) | SELECT "product_category_description", COUNT("product_category_description") FROM "Ref_Product_Categories" "T1" JOIN "Products" "T2" ON "T1"."product_category_code" = "T2"."product_category_code" AND "T2"."product_description" LIKE '%t%' GROUP BY "product_category_description" ORDER BY COUNT("product_category_description") | 0.316406 |
CREATE TABLE table_45874 ("Region" CLOB, "Host" CLOB, "Venue" CLOB, "City" CLOB, "State" CLOB)
| Which state contains the University of Iowa in the mideast region? | SELECT "State" FROM table_45874 WHERE "Region" = 'mideast' AND "Host" = 'university of iowa' | SELECT "State" FROM "table_45874" WHERE "Host" = 'university of iowa' AND "Region" = 'mideast' | 0.091797 |
CREATE TABLE table_name_64 (school_club_team VARCHAR2, player VARCHAR2)
| Which School/Club Team does Andrew Jones play for? | SELECT school_club_team FROM table_name_64 WHERE player = "andrew jones" | SELECT "school_club_team" FROM "table_name_64" WHERE "andrew jones" = "player" | 0.076172 |
CREATE TABLE table_17121262_9 (location_attendance VARCHAR2, game VARCHAR2)
| What was the location and attendance for game 60? | SELECT location_attendance FROM table_17121262_9 WHERE game = 60 | SELECT "location_attendance" FROM "table_17121262_9" WHERE "game" = 60 | 0.068359 |
CREATE TABLE table_2668393_18 (incumbent VARCHAR2, first_elected VARCHAR2, candidates VARCHAR2)
| How many incumbents were first elected in 1797 with the candidates abram trigg (dr)? | SELECT COUNT(incumbent) FROM table_2668393_18 WHERE first_elected = "1797" AND candidates = "Abram Trigg (DR)" | SELECT COUNT("incumbent") FROM "table_2668393_18" WHERE "1797" = "first_elected" AND "Abram Trigg (DR)" = "candidates" | 0.115234 |
CREATE TABLE table_74859 ("Tournament" CLOB, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| How many vuts made for a player with 2 wins and under 7 top 5s? | SELECT AVG("Cuts made") FROM table_74859 WHERE "Wins" = '2' AND "Top-5" < '7' | SELECT AVG("Cuts made") FROM "table_74859" WHERE "Top-5" < '7' AND "Wins" = '2' | 0.077148 |
CREATE TABLE table_name_8 (data_limit__gb VARCHAR2, company VARCHAR2)
| What is the data limit for vodafone? | SELECT data_limit__gb FROM table_name_8 WHERE company = "vodafone" | SELECT "data_limit__gb" FROM "table_name_8" WHERE "company" = "vodafone" | 0.070313 |
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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
| Top users by average score in a given tag. | SELECT a.OwnerUserId AS "user_link", a.OwnerDisplayName, AVG(CAST(a.Score AS FLOAT)) AS "average_score", SUM(a.Score) AS "total_score", COUNT(a.Id) AS "num_answers" FROM Posts AS a JOIN Posts AS q ON a.ParentId = q.Id WHERE a.PostTypeId = 2 AND q.Tags LIKE '%<##tagName##>%' GROUP BY a.OwnerUserId, a.OwnerDisplayName HAVING COUNT(a.Score) >= '##min?5##' ORDER BY AVG(a.Score) DESC LIMIT 100 | SELECT "a"."OwnerUserId" AS "user_link", "a"."OwnerDisplayName", AVG(CAST("a"."Score" AS FLOAT)) AS "average_score", SUM("a"."Score") AS "total_score", COUNT("a"."Id") AS "num_answers" FROM "Posts" "a" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" AND "q"."Tags" LIKE '%<##tagName##>%' WHERE "a"."PostTypeId" = 2 GROUP BY "a"."OwnerUserId", "a"."OwnerDisplayName" HAVING COUNT("a"."Score") >= '##min?5##' ORDER BY AVG("a"."Score") DESC FETCH FIRST 100 ROWS ONLY | 0.450195 |
CREATE TABLE table_11744 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is the result for pfc: put up or shut up? | SELECT "Res." FROM table_11744 WHERE "Event" = 'pfc: put up or shut up' | SELECT "Res." FROM "table_11744" WHERE "Event" = 'pfc: put up or shut up' | 0.071289 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| let me know the birth date and short title of diagnoses for patient fernando wontor. | SELECT demographic.dob, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Fernando Wontor" | SELECT "demographic"."dob", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Fernando Wontor" = "demographic"."name" | 0.182617 |
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
| Show me a bar chart for what are the ids and details for all organizations that have grants of more than 6000 dollars? | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details | SELECT "T2"."organisation_details", "T1"."organisation_id" FROM "Grants" "T1" JOIN "Organisations" "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "T2"."organisation_details" | 0.186523 |
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 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| All caps titles (all-caps, capital). | SELECT p.Id AS "post_link" FROM Posts AS p WHERE p.PostTypeId = 1 AND p.ClosedDate IS NULL AND p.Title = UPPER(Title) ORDER BY p.CreationDate DESC | SELECT "p"."Id" AS "post_link" FROM "Posts" "p" WHERE "p"."ClosedDate" IS NULL AND "p"."PostTypeId" = 1 AND "p"."Title" = UPPER("Title") ORDER BY "p"."CreationDate" DESC | 0.165039 |
CREATE TABLE table_56097 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was the home team at the game that had a crowd of over 24,520? | SELECT "Home team" FROM table_56097 WHERE "Crowd" > '24,520' | SELECT "Home team" FROM "table_56097" WHERE "Crowd" > '24,520' | 0.060547 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| get me the number of patients taking base drug type who have procedure icd9 code 3799. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "3799" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "3799" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.286133 |
CREATE TABLE table_203_461 (id NUMBER, "dvd title" CLOB, "discs" NUMBER, "year" CLOB, "no. of ep." NUMBER, "dvd release\ region 2" CLOB, "dvd release\ region 4" CLOB)
| the complete collection has 96 episodes , but the christmas specials only has how many episodes ? | SELECT "no. of ep." FROM table_203_461 WHERE "dvd title" = 'the christmas specials' | SELECT "no. of ep." FROM "table_203_461" WHERE "dvd title" = 'the christmas specials' | 0.083008 |
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| Total number of questions posted in a given year.. | SELECT COUNT(*) FROM Posts WHERE CreationDate BETWEEN '2018-01-01' AND '2018-12-31' AND Tags LIKE '%python%' | SELECT COUNT(*) FROM "Posts" WHERE "CreationDate" <= '2018-12-31' AND "CreationDate" >= '2018-01-01' AND "Tags" LIKE '%python%' | 0.124023 |
CREATE TABLE table_46011 ("Nat." CLOB, "Name" CLOB, "Since" CLOB, "App ( L/C/E ) " CLOB, "Goals ( L/C/E ) " CLOB, "Ends" FLOAT, "Transfer fee" CLOB)
| What are the gaols(L/C/E) with an App(L/C/E) of 55 (47/5/3)? | SELECT "Goals(L/C/E)" FROM table_46011 WHERE "App(L/C/E)" = '55 (47/5/3)' | SELECT "Goals(L/C/E)" FROM "table_46011" WHERE "App(L/C/E)" = '55 (47/5/3)' | 0.073242 |
CREATE TABLE table_22384475_1 (winner VARCHAR2, margin VARCHAR2)
| Who won the match when the margin was 131 runs? | SELECT winner FROM table_22384475_1 WHERE margin = "131 runs" | SELECT "winner" FROM "table_22384475_1" WHERE "131 runs" = "margin" | 0.06543 |
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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)
| when did patient 16879 first get mrsa screen microbial tests until 09/2104? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16879) AND microbiologyevents.spec_type_desc = 'mrsa screen' AND STRFTIME('%y-%m', microbiologyevents.charttime) <= '2104-09' ORDER BY microbiologyevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16879 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'mrsa screen' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "microbiologyevents"."charttime") <= '2104-09' ORDER BY "microbiologyevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.46875 |
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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE 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 days (days_code VARCHAR2, 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
| do you have an AA flight from DENVER to SAN FRANCISCO in the early morning | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND date_day.day_number = 30 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA') AND flight.departure_time BETWEEN 0 AND 800 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 30 AND "date_day"."month_number" = 8 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."airline_code" = 'AA' AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.802734 |
CREATE TABLE table_21230 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who scored highest rebounds high points is charlie villanueva (32) | SELECT "High rebounds" FROM table_21230 WHERE "High points" = 'Charlie Villanueva (32)' | SELECT "High rebounds" FROM "table_21230" WHERE "High points" = 'Charlie Villanueva (32)' | 0.086914 |
CREATE TABLE table_2866514_1 (written_by VARCHAR2, us_viewers__million_ VARCHAR2)
| Who wrote the episode with 3.96 million US viewers? | SELECT written_by FROM table_2866514_1 WHERE us_viewers__million_ = "3.96" | SELECT "written_by" FROM "table_2866514_1" WHERE "3.96" = "us_viewers__million_" | 0.078125 |
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