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CREATE TABLE table_name_5 (large_end VARCHAR2, taper VARCHAR2, ft VARCHAR2)
| Which Large end has a Taper/ft smaller than 0.6000000000000001? | SELECT COUNT(large_end) FROM table_name_5 WHERE taper / ft < 0.6000000000000001 | SELECT COUNT("large_end") FROM "table_name_5" WHERE "taper" / NULLIF("ft", 0) < 0.6000000000000001 | 0.095703 |
CREATE TABLE table_70279 ("Start Date/Time" CLOB, "Duration" CLOB, "End Time" CLOB, "Spacecraft" CLOB, "Crew" CLOB)
| What is the duration of the Expedition 20 ISS Zvezda? | SELECT "Duration" FROM table_70279 WHERE "Spacecraft" = 'expedition 20 iss zvezda' | SELECT "Duration" FROM "table_70279" WHERE "Spacecraft" = 'expedition 20 iss zvezda' | 0.082031 |
CREATE TABLE table_203_778 (id NUMBER, "representative" CLOB, "title" CLOB, "presentation\ of credentials" CLOB, "termination\ of mission" CLOB, "appointed by" CLOB)
| who was the last representative picked ? | SELECT "representative" FROM table_203_778 ORDER BY "presentation\nof credentials" DESC LIMIT 1 | SELECT "representative" FROM "table_203_778" ORDER BY "presentation\nof credentials" DESC FETCH FIRST 1 ROWS ONLY | 0.110352 |
CREATE TABLE table_44958 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| WHAT IS THE TO PAR FOR NUMBER 1? | SELECT "To par" FROM table_44958 WHERE "Place" = '1' | SELECT "To par" FROM "table_44958" WHERE "Place" = '1' | 0.052734 |
CREATE TABLE table_name_11 (year VARCHAR2, silver VARCHAR2)
| What is the total number of years when Mika Miyazato won the silver? | SELECT COUNT(year) FROM table_name_11 WHERE silver = "mika miyazato" | SELECT COUNT("year") FROM "table_name_11" WHERE "mika miyazato" = "silver" | 0.072266 |
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 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)
| how many patients speak english? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "ENGL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ENGL" = "demographic"."language" | 0.105469 |
CREATE TABLE table_50702 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| With a To par of 2, what is Johnny Miller's Place? | SELECT "Place" FROM table_50702 WHERE "To par" = '–2' AND "Player" = 'johnny miller' | SELECT "Place" FROM "table_50702" WHERE "Player" = 'johnny miller' AND "To par" = '–2' | 0.083984 |
CREATE TABLE table_56580 ("Player" CLOB, "Position" CLOB, "Tries" FLOAT, "Goals" FLOAT, "Points" FLOAT)
| Mike Forshaw had 0 goals and 28 points. What is his position? | SELECT "Position" FROM table_56580 WHERE "Goals" = '0' AND "Points" = '28' AND "Player" = 'mike forshaw' | SELECT "Position" FROM "table_56580" WHERE "Goals" = '0' AND "Player" = 'mike forshaw' AND "Points" = '28' | 0.103516 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, a scatter chart shows the correlation between price and code . | SELECT T1.Price, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code | SELECT "T1"."Price", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" | 0.113281 |
CREATE TABLE enzyme (id NUMBER, name CLOB, location CLOB, product CLOB, chromosome CLOB, omim NUMBER, porphyria CLOB)
CREATE TABLE medicine_enzyme_interaction (enzyme_id NUMBER, medicine_id NUMBER, interaction_type CLOB)
CREATE TABLE medicine (id NUMBER, name CLOB, trade_name CLOB, fda_approved CLOB)
| What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes? | SELECT T1.name, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor' | SELECT "T1"."name", "T1"."trade_name" FROM "medicine" "T1" JOIN "medicine_enzyme_interaction" "T2" ON "T1"."id" = "T2"."medicine_id" WHERE "interaction_type" = 'inhibitor' INTERSECT SELECT "T1"."name", "T1"."trade_name" FROM "medicine" "T1" JOIN "medicine_enzyme_interaction" "T2" ON "T1"."id" = "T2"."medicine_id" WHERE "interaction_type" = 'activitor' | 0.344727 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| when was the last time on 09/21/2105 that patient 006-202432 had an d51/2ns ivf intake? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-202432')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'd51/2ns ivf' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) = '2105-09-21' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-202432' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'd51/2ns ivf' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") = '2105-09-21' ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.740234 |
CREATE TABLE classification (id NUMBER, msid NUMBER, gid NUMBER)
CREATE TABLE directed_by (id NUMBER, msid NUMBER, did NUMBER)
CREATE TABLE keyword (id NUMBER, keyword CLOB)
CREATE TABLE actor (aid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE tv_series (sid NUMBER, title CLOB, release_year NUMBER, num_of_seasons NUMBER, num_of_episodes NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE director (did NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE cast (id NUMBER, msid NUMBER, aid NUMBER, role CLOB)
CREATE TABLE company (id NUMBER, name CLOB, country_code VARCHAR2)
CREATE TABLE made_by (id NUMBER, msid NUMBER, pid NUMBER)
CREATE TABLE copyright (id NUMBER, msid NUMBER, cid NUMBER)
CREATE TABLE written_by (id NUMBER, msid NUMBER, wid NUMBER)
CREATE TABLE writer (wid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE tags (id NUMBER, msid NUMBER, kid NUMBER)
CREATE TABLE genre (gid NUMBER, genre CLOB)
CREATE TABLE movie (mid NUMBER, title CLOB, release_year NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE producer (pid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
| Find all movies about Persians | SELECT movie.title FROM keyword, movie, tags WHERE keyword.keyword = 'Persians' AND tags.kid = keyword.id AND tags.msid = movie.mid | SELECT "movie"."title" FROM "keyword" JOIN "tags" ON "keyword"."id" = "tags"."kid" JOIN "movie" ON "movie"."mid" = "tags"."msid" WHERE "keyword"."keyword" = 'Persians' | 0.163086 |
CREATE TABLE table_203_296 (id NUMBER, "country" CLOB, "total gdp ( nominal ) \ ( billion us$ ) " CLOB, "gdp per capita\ ( us$ , ppp ) " CLOB, "gdp growth , \ 2007-2011\ ( in % ) " NUMBER, "hdi" CLOB)
| which is the top african nation that earns the most gdp in billions ? | SELECT "country" FROM table_203_296 ORDER BY "total gdp (nominal)\n(billion us$)" DESC LIMIT 1 | SELECT "country" FROM "table_203_296" ORDER BY "total gdp (nominal)\n(billion us$)" DESC FETCH FIRST 1 ROWS ONLY | 0.109375 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| tell me the minimum hospital cost that involves a procedure called a normal saline administration - moderate volume resuscitation (150-250 mls/hr) in 2102? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'normal saline administration - moderate volume resuscitation (150-250 mls/hr)')) AND STRFTIME('%y', cost.chargetime) = '2102' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'normal saline administration - moderate volume resuscitation (150-250 mls/hr)' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2102' GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.696289 |
CREATE TABLE table_203_710 (id NUMBER, "genre" CLOB, "year" NUMBER, "title" CLOB, "episode" CLOB, "role" CLOB, "notes" CLOB)
| the year previos to normandy : the great crusade | SELECT "year" FROM table_203_710 WHERE id = (SELECT id FROM table_203_710 WHERE "title" = 'normandy: the great crusade') - 1 | SELECT "year" FROM "table_203_710" WHERE "id" = (SELECT "id" FROM "table_203_710" WHERE "title" = 'normandy: the great crusade') - 1 | 0.128906 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what were the four most common diagnoses that followed in the same month for patients who were diagnosed with human immuno virus dis since 2105? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'human immuno virus dis') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 4) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105'), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'human immuno virus dis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.121094 |
CREATE TABLE table_12153 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| What is the highest number of losses of club cf calvo sotelo, which has more than 31 goals against, 38 goals for, and less than 30 played? | SELECT MAX("Losses") FROM table_12153 WHERE "Goals against" > '31' AND "Goals for" = '38' AND "Club" = 'cf calvo sotelo' AND "Played" < '30' | SELECT MAX("Losses") FROM "table_12153" WHERE "Club" = 'cf calvo sotelo' AND "Goals against" > '31' AND "Goals for" = '38' AND "Played" < '30' | 0.138672 |
CREATE TABLE table_204_756 (id NUMBER, "year" NUMBER, "team" CLOB, "games" NUMBER, "combined tackles" NUMBER, "tackles" NUMBER, "assisted tackles" NUMBER, "sacks" NUMBER, "forced fumbles" NUMBER, "fumble recoveries" NUMBER, "fumble return yards" NUMBER, "interceptions" NUMBER, "interception return yards" NUMBER, "yards per interception return" NUMBER, "longest interception return" NUMBER, "interceptions returned for touchdown" NUMBER, "passes defended" NUMBER)
| how many seasons had combined tackles of 70 or more ? | SELECT COUNT("year") FROM table_204_756 WHERE "combined tackles" >= 70 | SELECT COUNT("year") FROM "table_204_756" WHERE "combined tackles" >= 70 | 0.070313 |
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
| Sum the average prices of wines for different years, and bin year attribute into weekday interval for a bar chart. | SELECT Year, SUM(AVG(Price)) FROM wine | SELECT "Year", SUM(AVG("Price")) FROM "wine" | 0.042969 |
CREATE TABLE table_12119 ("Mininera DFL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| WHAT IS THE HIGHEST WINS WITH AGAINST SMALLER THAN 924, LOSSES SMALLER THAN 2? | SELECT MAX("Wins") FROM table_12119 WHERE "Against" < '924' AND "Losses" < '2' | SELECT MAX("Wins") FROM "table_12119" WHERE "Against" < '924' AND "Losses" < '2' | 0.078125 |
CREATE TABLE table_204_693 (id NUMBER, "place" CLOB, "total" NUMBER, "men" NUMBER, "women" NUMBER, "children" NUMBER, "elderly" NUMBER, "serbs" NUMBER, "jews" NUMBER, "romani" NUMBER, "rusyns" NUMBER, "hungarians" NUMBER, "russians" NUMBER)
| how many total women were victims ? | SELECT SUM("women") FROM table_204_693 | SELECT SUM("women") FROM "table_204_693" | 0.039063 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| For the Spring or Summer term , can I take 100 -level classes ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 100 AND 100 + 100 AND SEMESTERalias0.semester IN ('SP', 'SS', 'SU') AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016 | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'EECS' AND "COURSEalias0"."number" <= 200 AND "COURSEalias0"."number" >= 100 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" IN ('SP', 'SS', 'SU') AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 0.888672 |
CREATE TABLE table_name_25 (total NUMBER, silver VARCHAR2, bronze VARCHAR2, gold VARCHAR2)
| What's the total with silver being less than 0, less than 1 gold, and 3 bronze? | SELECT SUM(total) FROM table_name_25 WHERE bronze = 3 AND gold < 1 AND silver < 0 | SELECT SUM("total") FROM "table_name_25" WHERE "bronze" = 3 AND "gold" < 1 AND "silver" < 0 | 0.088867 |
CREATE TABLE table_61049 ("Model" CLOB, "Years" CLOB, "Engine" CLOB, "Power" CLOB, "0\\u2013100km/h ( 62mph ) " CLOB, "Top Speed" CLOB)
| Which model has a top speed of 231km/h (143mph)? | SELECT "Model" FROM table_61049 WHERE "Top Speed" = '231km/h (143mph)' | SELECT "Model" FROM "table_61049" WHERE "Top Speed" = '231km/h (143mph)' | 0.070313 |
CREATE TABLE table_66146 ("Model number" CLOB, "sSpec number" CLOB, "Cores" CLOB, "Frequency" CLOB, "Turbo" CLOB, "L2 cache" CLOB, "L3 cache" CLOB, "GPU model" CLOB, "GPU frequency" CLOB, "Socket" CLOB, "I/O bus" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| What is the L3 cache of the processor with a release price of $440? | SELECT "L3 cache" FROM table_66146 WHERE "Release price ( USD )" = '$440' | SELECT "L3 cache" FROM "table_66146" WHERE "Release price ( USD )" = '$440' | 0.073242 |
CREATE TABLE table_12222 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What is Record, when Home is 'New York Rangers', and when Date is 'April 17'? | SELECT "Record" FROM table_12222 WHERE "Home" = 'new york rangers' AND "Date" = 'april 17' | SELECT "Record" FROM "table_12222" WHERE "Date" = 'april 17' AND "Home" = 'new york rangers' | 0.089844 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Draw a bar chart about the distribution of All_Road and School_ID , and sort in desc by the x axis. | SELECT All_Road, School_ID FROM basketball_match ORDER BY All_Road DESC | SELECT "All_Road", "School_ID" FROM "basketball_match" ORDER BY "All_Road" DESC | 0.077148 |
CREATE TABLE table_13619053_8 (high_points VARCHAR2, game VARCHAR2)
| How many players led Game #66 in scoring? | SELECT COUNT(high_points) FROM table_13619053_8 WHERE game = 66 | SELECT COUNT("high_points") FROM "table_13619053_8" WHERE "game" = 66 | 0.067383 |
CREATE TABLE table_46672 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " CLOB)
| Which united states player had a To par of 12? | SELECT "Player" FROM table_46672 WHERE "To par" = '12' AND "Country" = 'united states' | SELECT "Player" FROM "table_46672" WHERE "Country" = 'united states' AND "To par" = '12' | 0.085938 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| For the ULCS requirement what class is the easiest ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%ULCS%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%ULCS%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.480469 |
CREATE TABLE table_80111 ("Game" FLOAT, "Date" CLOB, "Location" CLOB, "Time" CLOB, "Attendance" FLOAT)
| For the game that was played on october 22 in west side grounds, what is the total attendance | SELECT COUNT("Attendance") FROM table_80111 WHERE "Location" = 'west side grounds' AND "Date" = 'october 22' | SELECT COUNT("Attendance") FROM "table_80111" WHERE "Date" = 'october 22' AND "Location" = 'west side grounds' | 0.107422 |
CREATE TABLE table_25375093_1 (f_laps NUMBER)
| Name the least f/laps | SELECT MIN(f_laps) FROM table_25375093_1 | SELECT MIN("f_laps") FROM "table_25375093_1" | 0.042969 |
CREATE TABLE table_25309 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Cowboys points" FLOAT, "Opponents" FLOAT, "Record" CLOB)
| What is the fewest points opponents have scored when the Cowboys score 36? | SELECT MIN("Opponents") FROM table_25309 WHERE "Cowboys points" = '36' | SELECT MIN("Opponents") FROM "table_25309" WHERE "Cowboys points" = '36' | 0.070313 |
CREATE TABLE table_69801 ("Year" FLOAT, "Date" CLOB, "Winner" CLOB, "Result" CLOB, "Loser" CLOB, "Location" CLOB)
| Where was the game that the Indianapolis Colts lost 24-14? | SELECT "Location" FROM table_69801 WHERE "Loser" = 'indianapolis colts' AND "Result" = '24-14' | SELECT "Location" FROM "table_69801" WHERE "Loser" = 'indianapolis colts' AND "Result" = '24-14' | 0.09375 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| give me the list of flights for CO between DENVER and BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'CO' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' | 0.514648 |
CREATE TABLE store_district (store_id NUMBER, district_id NUMBER)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi NUMBER, pages_per_minute_color NUMBER, max_page_size CLOB, interface CLOB)
CREATE TABLE store_product (store_id NUMBER, product_id NUMBER)
CREATE TABLE district (district_id NUMBER, district_name CLOB, headquartered_city CLOB, city_population NUMBER, city_area NUMBER)
CREATE TABLE store (store_id NUMBER, store_name CLOB, type CLOB, area_size NUMBER, number_of_product_category NUMBER, ranking NUMBER)
| Find the names of all stores in Khanewal District. | SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t3.district_name = "Khanewal District" | SELECT "t1"."store_name" FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."store_id" = "t2"."store_id" JOIN "district" "t3" ON "Khanewal District" = "t3"."district_name" AND "t2"."district_id" = "t3"."district_id" | 0.211914 |
CREATE TABLE table_203_339 (id NUMBER, "year" CLOB, "car" NUMBER, "start" NUMBER, "qual" NUMBER, "rank" NUMBER, "finish" NUMBER, "laps" NUMBER, "led" NUMBER, "retired" CLOB)
| what car ranked # 1 from 1962-1963 ? | SELECT "car" FROM table_203_339 WHERE "year" = 1962 | SELECT "car" FROM "table_203_339" WHERE "year" = 1962 | 0.051758 |
CREATE TABLE table_1265 ("Club" CLOB, "Played" CLOB, "Won" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries For" CLOB, "Tries Against" CLOB, "Try Bonus" CLOB, "Losing Bonus" CLOB, "Points" CLOB)
| Name the points for where lost is 4 | SELECT COUNT("Points for") FROM table_1265 WHERE "Lost" = '4' | SELECT COUNT("Points for") FROM "table_1265" WHERE "Lost" = '4' | 0.061523 |
CREATE TABLE table_name_54 (played NUMBER, percentage VARCHAR2, lost VARCHAR2)
| What is the average of games played with a percentage of 3.33% and less than 29 losses? | SELECT AVG(played) FROM table_name_54 WHERE percentage = "3.33%" AND lost < 29 | SELECT AVG("played") FROM "table_name_54" WHERE "3.33%" = "percentage" AND "lost" < 29 | 0.083984 |
CREATE TABLE table_name_25 (original_nfl_team VARCHAR2, player VARCHAR2)
| Who's the original team for Rashied Davis Category:articles with hcards? | SELECT original_nfl_team FROM table_name_25 WHERE player = "rashied davis category:articles with hcards" | SELECT "original_nfl_team" FROM "table_name_25" WHERE "player" = "rashied davis category:articles with hcards" | 0.107422 |
CREATE TABLE table_63655 ("Round" CLOB, "Clubs remaining" FLOAT, "Clubs involved" FLOAT, "Winners from previous round" CLOB, "New entries this round" CLOB, "Leagues entering at this round" CLOB)
| How many clubs are involved when there are 4 winners from the previous rounds and more than 4 clubs remaining? | SELECT MIN("Clubs involved") FROM table_63655 WHERE "Winners from previous round" = '4' AND "Clubs remaining" > '4' | SELECT MIN("Clubs involved") FROM "table_63655" WHERE "Clubs remaining" > '4' AND "Winners from previous round" = '4' | 0.114258 |
CREATE TABLE table_name_72 (theme VARCHAR2, issue_price VARCHAR2)
| What was the theme when the issue price was $508.95? | SELECT theme FROM table_name_72 WHERE issue_price = "$508.95" | SELECT "theme" FROM "table_name_72" WHERE "$508.95" = "issue_price" | 0.06543 |
CREATE TABLE table_name_34 (week VARCHAR2, opponent VARCHAR2)
| Tell me the week for pittsburgh steelers opponent | SELECT week FROM table_name_34 WHERE opponent = "pittsburgh steelers" | SELECT "week" FROM "table_name_34" WHERE "opponent" = "pittsburgh steelers" | 0.073242 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Undeleted posts by a user. | SELECT p.Id AS "post_link" FROM Posts AS p INNER JOIN PostHistory AS e ON e.PostId = p.Id WHERE e.PostHistoryTypeId = 13 AND p.OwnerUserId = '##userid##' GROUP BY p.Id, p.CreationDate ORDER BY p.CreationDate DESC | SELECT "p"."Id" AS "post_link" FROM "Posts" "p" JOIN "PostHistory" "e" ON "e"."PostHistoryTypeId" = 13 AND "e"."PostId" = "p"."Id" WHERE "p"."OwnerUserId" = '##userid##' GROUP BY "p"."Id", "p"."CreationDate" ORDER BY "p"."CreationDate" DESC | 0.234375 |
CREATE TABLE d_icd_diagnoses (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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| whats the last care unit of patient 97733 in this year? | SELECT transfers.careunit FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 97733) AND NOT transfers.careunit IS NULL AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 97733 GROUP BY "hadm_id") SELECT "transfers"."careunit" FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE DATETIME("transfers"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "transfers"."careunit" IS NULL ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.453125 |
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)
| provide the number of patients whose admission type is urgent and procedure icd9 code is 17. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "17" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "17" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.216797 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| You closed these questions, now you can vote for their deletion. | WITH DeletableClosed AS (SELECT Id AS "post_link", * FROM Posts WHERE ClosedDate < DATEADD(d, -2, CURRENT_TIMESTAMP())), Raw AS (SELECT PostId, Text FROM PostHistory WHERE PostHistoryTypeId = 10), Raw2 AS (SELECT PostId, JSON_VALUE(Text, '$.Voters0.Id') AS CloserId FROM Raw UNION ALL SELECT PostId, JSON_VALUE(Text, '$.Voters1.Id') AS CloserId FROM Raw UNION ALL SELECT PostId, JSON_VALUE(Text, '$.Voters2.Id') AS CloserId FROM Raw UNION ALL SELECT PostId, JSON_VALUE(Text, '$.Voters3.Id') AS CloserId FROM Raw UNION ALL SELECT PostId, JSON_VALUE(Text, '$.Voters4.Id') AS CloserId FROM Raw) SELECT PostId, CAST(CloserId AS INT) AS CloserId FROM Raw2, Users WHERE Raw2.CloserId = Users.Id AND Users.AccountId = '##SEAccountId:int##' | WITH "Raw2" AS (SELECT JSON_VALUE("Text", '$.Voters0.Id') AS "CloserId" FROM "Raw" UNION ALL SELECT JSON_VALUE("Text", '$.Voters1.Id') AS "CloserId" FROM "Raw" UNION ALL SELECT JSON_VALUE("Text", '$.Voters2.Id') AS "CloserId" FROM "Raw" UNION ALL SELECT JSON_VALUE("Text", '$.Voters3.Id') AS "CloserId" FROM "Raw" UNION ALL SELECT JSON_VALUE("Text", '$.Voters4.Id') AS "CloserId" FROM "Raw"), "_u_1" AS (SELECT ARRAY_AGG(1) AS "_", 10 AS "_u_2" FROM "PostHistory" GROUP BY 10) SELECT "PostId", CAST("CloserId" AS NUMBER) AS "CloserId" FROM "Raw2" LEFT JOIN "_u_1" "_u_1" ON "PostHistoryTypeId" = "_u_1"."_u_2" JOIN "Users" ON "Raw2"."CloserId" = "Users"."Id" AND "Users"."AccountId" = '##SEAccountId:int##' | 0.689453 |
CREATE TABLE table_name_64 (scored NUMBER, competition VARCHAR2, date VARCHAR2)
| Name the averag scored for 2011 long teng cup and 2 october 2011 | SELECT AVG(scored) FROM table_name_64 WHERE competition = "2011 long teng cup" AND date = "2 october 2011" | SELECT AVG("scored") FROM "table_name_64" WHERE "2 october 2011" = "date" AND "2011 long teng cup" = "competition" | 0.111328 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is the number of patients whose age is less than 58 and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "58" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "58" > "demographic"."age" | 0.1875 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients admission location is under phys referral/normal deli and are admitted in the year before 2179? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.admityear < "2179" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2179" > "demographic"."admityear" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.173828 |
CREATE TABLE table_60185 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the to par of player peter senior? | SELECT "To par" FROM table_60185 WHERE "Player" = 'peter senior' | SELECT "To par" FROM "table_60185" WHERE "Player" = 'peter senior' | 0.064453 |
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 VoteTypes (Id NUMBER, Name 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Comments Consisting of <idownvotedbecau.se> Link. | SELECT c.Id AS "comment_link", LENGTH(c.Text) AS "Length", c.Score, c.CreationDate FROM Comments AS c WHERE LENGTH(c.Text) < 100 AND c.Text LIKE '%http%://idownvotedbecau.se%' | SELECT "c"."Id" AS "comment_link", LENGTH("c"."Text") AS "Length", "c"."Score", "c"."CreationDate" FROM "Comments" "c" WHERE "c"."Text" LIKE '%http%://idownvotedbecau.se%' AND LENGTH("c"."Text") < 100 | 0.195313 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Give me a bar chart for sum weight of each sex, could you list X-axis from low to high order? | SELECT Sex, SUM(Weight) FROM people GROUP BY Sex ORDER BY Sex | SELECT "Sex", SUM("Weight") FROM "people" GROUP BY "Sex" ORDER BY "Sex" | 0.069336 |
CREATE TABLE table_25362 ("R" FLOAT, "Player" CLOB, "Scottish Premier League" FLOAT, "Scottish Cup" FLOAT, "Scottish League Cup" FLOAT, "Champions League ( qualifying ) " FLOAT, "Europa League" FLOAT, "Total" FLOAT)
| Name the max total for aiden mcgeady | SELECT MAX("Total") FROM table_25362 WHERE "Player" = 'Aiden McGeady' | SELECT MAX("Total") FROM "table_25362" WHERE "Player" = 'Aiden McGeady' | 0.069336 |
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| Unique users with post that contain {mhchem}. | SELECT DISTINCT OwnerUserId FROM Posts WHERE 'body' LIKE '%{mhchem}%' | SELECT DISTINCT "OwnerUserId" FROM "Posts" WHERE 'body' LIKE '%{mhchem}%' | 0.071289 |
CREATE TABLE table_203_158 (id NUMBER, "date" CLOB, "time" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "tv" CLOB, "result" CLOB, "attendance" NUMBER)
| how many games did each team score over 20 points ? | SELECT COUNT(*) FROM table_203_158 WHERE "result" > 20 AND "result" > 20 | SELECT COUNT(*) FROM "table_203_158" WHERE "result" > 20 | 0.054688 |
CREATE TABLE table_203_496 (id NUMBER, "pos" NUMBER, "country" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many more medals did italy win than the soviet union ? | SELECT (SELECT "total" FROM table_203_496 WHERE "country" = 'italy') - (SELECT "total" FROM table_203_496 WHERE "country" = 'soviet union') | SELECT (SELECT "total" FROM "table_203_496" WHERE "country" = 'italy') - (SELECT "total" FROM "table_203_496" WHERE "country" = 'soviet union') | 0.139648 |
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 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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)
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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is 'diagnosis cost' of abn liver function study? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'abn liver function study')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'abn liver function study' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL | 0.397461 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 PostHistoryTypes (Id NUMBER, Name 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Average current reputation of users on site. | SELECT AVG(u1.Reputation) FROM Users AS u1 WHERE u1.Id IN (SELECT DISTINCT u.Id FROM Posts AS p LEFT JOIN Users AS u ON (p.OwnerUserId = u.Id) WHERE p.PostTypeId = 1) | WITH "_u_0" AS (SELECT DISTINCT "u"."Id" FROM "Posts" "p" LEFT JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" WHERE "p"."PostTypeId" = 1 GROUP BY "Id") SELECT AVG("u1"."Reputation") FROM "Users" "u1" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "u1"."Id" WHERE NOT "_u_0"."" IS NULL | 0.271484 |
CREATE TABLE table_28229 ("Stage" FLOAT, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB, "Team classification" CLOB, "Combativity award" CLOB)
| Who is every young rider classification if combativity award is Yannick Talabardon? | SELECT "Young rider classification" FROM table_28229 WHERE "Combativity award" = 'Yannick Talabardon' | SELECT "Young rider classification" FROM "table_28229" WHERE "Combativity award" = 'Yannick Talabardon' | 0.100586 |
CREATE TABLE table_203_409 (id NUMBER, "rank" NUMBER, "representative" CLOB, "party" CLOB, "district" CLOB, "seniority date" CLOB, "notes" CLOB)
| give the number of representatives listed in the table . | SELECT COUNT("representative") FROM table_203_409 | SELECT COUNT("representative") FROM "table_203_409" | 0.049805 |
CREATE TABLE table_5064 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the High points of charles oakley , kevin willis (11)? | SELECT "High points" FROM table_5064 WHERE "High rebounds" = 'charles oakley , kevin willis (11)' | SELECT "High points" FROM "table_5064" WHERE "High rebounds" = 'charles oakley , kevin willis (11)' | 0.09668 |
CREATE TABLE table_59537 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Location" CLOB)
| Which method was used when Rafael Cavalcante was the opponent? | SELECT "Method" FROM table_59537 WHERE "Opponent" = 'rafael cavalcante' | SELECT "Method" FROM "table_59537" WHERE "Opponent" = 'rafael cavalcante' | 0.071289 |
CREATE TABLE Player (pID NUMBER, pName VARCHAR2, yCard VARCHAR2, HS NUMBER)
CREATE TABLE Tryout (pID NUMBER, cName VARCHAR2, pPos VARCHAR2, decision VARCHAR2)
CREATE TABLE College (cName VARCHAR2, state VARCHAR2, enr NUMBER)
| What are the number of the names of all students who tried out in alphabetical order? | SELECT pName, COUNT(pName) FROM Player AS T1 JOIN Tryout AS T2 ON T1.pID = T2.pID GROUP BY pName ORDER BY T1.pName | SELECT "pName", COUNT("pName") FROM "Player" "T1" JOIN "Tryout" "T2" ON "T1"."pID" = "T2"."pID" GROUP BY "pName" ORDER BY "T1"."pName" | 0.130859 |
CREATE TABLE table_name_51 (winning_driver VARCHAR2, race_name VARCHAR2)
| Who is the winning drive of iv grand prix de caen? | SELECT winning_driver FROM table_name_51 WHERE race_name = "iv grand prix de caen" | SELECT "winning_driver" FROM "table_name_51" WHERE "iv grand prix de caen" = "race_name" | 0.085938 |
CREATE TABLE protein (common_name CLOB, protein_name CLOB, divergence_from_human_lineage FLOAT, accession_number CLOB, sequence_length FLOAT, sequence_identity_to_human_protein CLOB, Institution_id CLOB)
CREATE TABLE building (building_id CLOB, Name CLOB, Street_address CLOB, Years_as_tallest CLOB, Height_feet NUMBER, Floors NUMBER)
CREATE TABLE Institution (Institution_id CLOB, Institution CLOB, Location CLOB, Founded FLOAT, Type CLOB, Enrollment NUMBER, Team CLOB, Primary_Conference CLOB, building_id CLOB)
| Please give me a bar chart showing institution types, along with the total enrollment for each type, and show Y-axis from low to high order. | SELECT Type, SUM(Enrollment) FROM Institution GROUP BY Type ORDER BY SUM(Enrollment) | SELECT "Type", SUM("Enrollment") FROM "Institution" GROUP BY "Type" ORDER BY SUM("Enrollment") | 0.091797 |
CREATE TABLE table_name_67 (republican_ticket VARCHAR2, democratic_ticket VARCHAR2)
| Who's the Republican ticket with a Democratic ticket of m. william bray? | SELECT republican_ticket FROM table_name_67 WHERE democratic_ticket = "m. william bray" | SELECT "republican_ticket" FROM "table_name_67" WHERE "democratic_ticket" = "m. william bray" | 0.09082 |
CREATE TABLE table_44337 ("Team" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try diff" CLOB, "Points for" CLOB, "Points against" CLOB, "Points diff" CLOB)
| What is the Tries against for the team that has 207 points for? | SELECT "Tries against" FROM table_44337 WHERE "Points for" = '207' | SELECT "Tries against" FROM "table_44337" WHERE "Points for" = '207' | 0.066406 |
CREATE TABLE perpetrator (Perpetrator_ID NUMBER, People_ID NUMBER, Date CLOB, Year FLOAT, Location CLOB, Country CLOB, Killed NUMBER, Injured NUMBER)
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, "Home Town" CLOB)
| I want to know the proportion of the total number for each country. | SELECT Country, COUNT(*) FROM perpetrator GROUP BY Country | SELECT "Country", COUNT(*) FROM "perpetrator" GROUP BY "Country" | 0.0625 |
CREATE TABLE table_27455867_1 (audition_city VARCHAR2, episode_air_date VARCHAR2)
| Where were the auditions held in the episode that aired on january 27, 2011? | SELECT audition_city FROM table_27455867_1 WHERE episode_air_date = "January 27, 2011" | SELECT "audition_city" FROM "table_27455867_1" WHERE "January 27, 2011" = "episode_air_date" | 0.089844 |
CREATE TABLE table_67763 ("Year" FLOAT, "Pick" CLOB, "Player name" CLOB, "College" CLOB, "Position" CLOB)
| How many years have a Player name of ronnie bull? | SELECT SUM("Year") FROM table_67763 WHERE "Player name" = 'ronnie bull' | SELECT SUM("Year") FROM "table_67763" WHERE "Player name" = 'ronnie bull' | 0.071289 |
CREATE TABLE table_22922 ("Self-identification" CLOB, "Moldovan census" FLOAT, "% Core Moldova" CLOB, "Transnistrian census" FLOAT, "% Transnistria + Bender" CLOB, "Total" FLOAT, "%" CLOB)
| Name the total for % core moldova for 4.36% | SELECT "Total" FROM table_22922 WHERE "% Core Moldova" = '4.36%' | SELECT "Total" FROM "table_22922" WHERE "% Core Moldova" = '4.36%' | 0.064453 |
CREATE TABLE table_56716 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the score on April 22? | SELECT "Score" FROM table_56716 WHERE "Date" = 'april 22' | SELECT "Score" FROM "table_56716" WHERE "Date" = 'april 22' | 0.057617 |
CREATE TABLE table_17323042_11 (location_attendance VARCHAR2, high_assists VARCHAR2)
| What was the location and attendance of the game when High Assists were Andre Miller (7)? | SELECT location_attendance FROM table_17323042_11 WHERE high_assists = "Andre Miller (7)" | SELECT "location_attendance" FROM "table_17323042_11" WHERE "Andre Miller (7)" = "high_assists" | 0.092773 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose age is less than 68 and drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "68" 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" WHERE "68" > "demographic"."age" | 0.212891 |
CREATE TABLE table_1140083_2 (date VARCHAR2, race VARCHAR2)
| How many days is the Monaco Grand Prix? | SELECT COUNT(date) FROM table_1140083_2 WHERE race = "Monaco Grand Prix" | SELECT COUNT("date") FROM "table_1140083_2" WHERE "Monaco Grand Prix" = "race" | 0.076172 |
CREATE TABLE table_72049 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Which score has an Opponent of white sox, and a Record of 2-0? | SELECT "Score" FROM table_72049 WHERE "Opponent" = 'white sox' AND "Record" = '2-0' | SELECT "Score" FROM "table_72049" WHERE "Opponent" = 'white sox' AND "Record" = '2-0' | 0.083008 |
CREATE TABLE table_49756 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| what is the city when the country is libya and the iata is ben? | SELECT "City" FROM table_49756 WHERE "Country" = 'libya' AND "IATA" = 'ben' | SELECT "City" FROM "table_49756" WHERE "Country" = 'libya' AND "IATA" = 'ben' | 0.075195 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose primary disease is femoral artery thrombosis and year of birth is less than 2110? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "FEMORAL ARTERY THROMBOSIS" AND demographic.dob_year < "2110" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2110" > "demographic"."dob_year" AND "FEMORAL ARTERY THROMBOSIS" = "demographic"."diagnosis" | 0.164063 |
CREATE TABLE Player (pID NUMBER, pName VARCHAR2, yCard VARCHAR2, HS NUMBER)
CREATE TABLE Tryout (pID NUMBER, cName VARCHAR2, pPos VARCHAR2, decision VARCHAR2)
CREATE TABLE College (cName VARCHAR2, state VARCHAR2, enr NUMBER)
| Return a pie chart on how many students are enrolled in colleges that have student accepted during tryouts, and in which states are those colleges? | SELECT state, enr FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes' | SELECT "state", "enr" FROM "College" "T1" JOIN "Tryout" "T2" ON "T1"."cName" = "T2"."cName" AND "T2"."decision" = 'yes' | 0.116211 |
CREATE TABLE table_78165 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What was the score on January 12? | SELECT "Score" FROM table_78165 WHERE "Date" = 'january 12' | SELECT "Score" FROM "table_78165" WHERE "Date" = 'january 12' | 0.05957 |
CREATE TABLE table_name_18 (sales__billion_ NUMBER, market_value__billion_$_ VARCHAR2, profits__billion_$_ VARCHAR2)
| What is the average sales for the company with market value of 204.9bil and profits under 20.6bil? | SELECT AVG(sales__billion_) AS $_ FROM table_name_18 WHERE market_value__billion_$_ = 204.9 AND profits__billion_$_ < 20.6 | SELECT AVG("sales__billion_") AS "$_" FROM "table_name_18" WHERE "market_value__billion_$_" = 204.9 AND "profits__billion_$_" < 20.6 | 0.128906 |
CREATE TABLE table_56217 ("Candidate" CLOB, "Money Raised , 3Q" CLOB, "Loans Received , 3Q" CLOB, "Money Spent , 3Q" CLOB, "Total Receipts" CLOB, "Cash On Hand" CLOB, "After Debt" CLOB)
| How much money has been raised that has $5,821,587 cash on hand? | SELECT "Money Raised, 3Q" FROM table_56217 WHERE "Cash On Hand" = '$5,821,587' | SELECT "Money Raised, 3Q" FROM "table_56217" WHERE "Cash On Hand" = '$5,821,587' | 0.078125 |
CREATE TABLE table_204_957 (id NUMBER, "year" NUMBER, "team" CLOB, "games" NUMBER, "combined tackles" NUMBER, "tackles" NUMBER, "assisted tackles" NUMBER, "sacks" NUMBER, "forced fumbles" NUMBER, "fumble recoveries" NUMBER, "fumble return yards" NUMBER, "interceptions" NUMBER, "interception return yards" NUMBER, "yards per interception return" NUMBER, "longest interception return" NUMBER, "interceptions returned for touchdown" NUMBER, "passes defended" NUMBER)
| one year , he had 10 assisted tackles . how many did he have the previous year ? | SELECT "assisted tackles" FROM table_204_957 WHERE "year" = (SELECT "year" FROM table_204_957 WHERE "assisted tackles" = 10) - 1 | SELECT "assisted tackles" FROM "table_204_957" WHERE "year" = (SELECT "year" FROM "table_204_957" WHERE "assisted tackles" = 10) - 1 | 0.128906 |
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Posts com tag xamarin ou mobile que contem Windows no Body. | SELECT * FROM Posts WHERE PostTypeId = 1 AND CreationDate >= '01/01/2018' AND (Tags LIKE '%mobile%' OR Tags LIKE '%xamarin%') AND Body LIKE '%Windows%Phone%' | SELECT * FROM "Posts" WHERE "Body" LIKE '%Windows%Phone%' AND "CreationDate" >= '01/01/2018' AND "PostTypeId" = 1 AND ("Tags" LIKE '%mobile%' OR "Tags" LIKE '%xamarin%') | 0.165039 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what was the last time that patient 004-64091 was diagnosed with congestive heart failure since 2102? | SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-64091')) AND diagnosis.diagnosisname = 'congestive heart failure' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2102' ORDER BY diagnosis.diagnosistime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-64091' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'congestive heart failure' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2102' ORDER BY "diagnosis"."diagnosistime" DESC FETCH FIRST 1 ROWS ONLY | 0.673828 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients had their diagnosis long title as pulmonary collapse and who were admitted before the year 2179? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2179" AND diagnoses.long_title = "Pulmonary collapse" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pulmonary collapse" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2179" > "demographic"."admityear" | 0.223633 |
CREATE TABLE table_53389 ("NGC number" FLOAT, "Object type" CLOB, "Constellation" CLOB, "Right ascension ( J2000 ) " CLOB, "Declination ( J2000 ) " CLOB)
| what is the constellation when the Right ascension ( J2000 ) is 10h18m58.4s? | SELECT "Constellation" FROM table_53389 WHERE "Right ascension ( J2000 )" = '10h18m58.4s' | SELECT "Constellation" FROM "table_53389" WHERE "Right ascension ( J2000 )" = '10h18m58.4s' | 0.088867 |
CREATE TABLE table_25572068_1 (location VARCHAR2, winning_driver VARCHAR2)
| What was the location when the winning driver was Nathana l Berthon? | SELECT location FROM table_25572068_1 WHERE winning_driver = "Nathanaël Berthon" | SELECT "location" FROM "table_25572068_1" WHERE "Nathanaël Berthon" = "winning_driver" | 0.083984 |
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 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)
| which lab test fluid was ordered for patient stephanie suchan? | SELECT lab.fluid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Stephanie Suchan" | SELECT "lab"."fluid" FROM "demographic" JOIN "lab" ON "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Stephanie Suchan" = "demographic"."name" | 0.139648 |
CREATE TABLE table_204_71 (id NUMBER, "rank" NUMBER, "heat" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB, "notes" CLOB)
| how many athletes have a time of 13.29 ? | SELECT COUNT("name") FROM table_204_71 WHERE "time" = 13.29 | SELECT COUNT("name") FROM "table_204_71" WHERE "time" = 13.29 | 0.05957 |
CREATE TABLE products (product_id VARCHAR2)
CREATE TABLE orders (order_id VARCHAR2)
CREATE TABLE order_items (order_id VARCHAR2, product_id VARCHAR2)
| List the count and id of each product in all the orders. | SELECT COUNT(*), T3.product_id FROM orders AS T1 JOIN order_items AS T2 JOIN products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY T3.product_id | SELECT COUNT(*), "T3"."product_id" FROM "orders" "T1" CROSS JOIN "products" "T3" JOIN "order_items" "T2" ON "T1"."order_id" = "T2"."order_id" AND "T2"."product_id" = "T3"."product_id" GROUP BY "T3"."product_id" | 0.205078 |
CREATE TABLE table_2562572_35 (dominant_religion__2002_ VARCHAR2, type VARCHAR2, settlement VARCHAR2)
| Name the dominant religion 2002 for village banatski despotovac | SELECT dominant_religion__2002_ FROM table_2562572_35 WHERE type = "village" AND settlement = "Banatski Despotovac" | SELECT "dominant_religion__2002_" FROM "table_2562572_35" WHERE "Banatski Despotovac" = "settlement" AND "type" = "village" | 0.120117 |
CREATE TABLE table_57832 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| What was the sum roll of Karaka area? | SELECT SUM("Roll") FROM table_57832 WHERE "Area" = 'karaka' | SELECT SUM("Roll") FROM "table_57832" WHERE "Area" = 'karaka' | 0.05957 |
CREATE TABLE table_name_17 (decision VARCHAR2, record VARCHAR2)
| What decision had a Record of 3 5 0? | SELECT decision FROM table_name_17 WHERE record = "3–5–0" | SELECT "decision" FROM "table_name_17" WHERE "3–5–0" = "record" | 0.061523 |
CREATE TABLE table_name_15 (away_team VARCHAR2, home_team VARCHAR2)
| Who was the away team playing against collingwood? | SELECT away_team FROM table_name_15 WHERE home_team = "collingwood" | SELECT "away_team" FROM "table_name_15" WHERE "collingwood" = "home_team" | 0.071289 |
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred 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 course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
| Find the number of courses that have more than one prerequisites for each department in a bar chart, display Y-axis from low to high order please. | SELECT dept_name, COUNT(dept_name) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY dept_name ORDER BY COUNT(dept_name) | SELECT "dept_name", COUNT("dept_name") FROM "course" "T1" JOIN "prereq" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "dept_name" ORDER BY COUNT("dept_name") | 0.160156 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| give me the number of patients who had percutaneous endoscopic gastrostomy and died on or before 2148. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2148.0" AND procedures.short_title = "Percu endosc gastrostomy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Percu endosc gastrostomy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2148.0" >= "demographic"."dod_year" | 0.235352 |
CREATE TABLE user (uid NUMBER, user_id VARCHAR2, name VARCHAR2)
CREATE TABLE checkin (cid NUMBER, business_id VARCHAR2, count NUMBER, day VARCHAR2)
CREATE TABLE business (bid NUMBER, business_id VARCHAR2, name VARCHAR2, full_address VARCHAR2, city VARCHAR2, latitude VARCHAR2, longitude VARCHAR2, review_count NUMBER, is_open NUMBER, rating FLOAT, state VARCHAR2)
CREATE TABLE category (id NUMBER, business_id VARCHAR2, category_name VARCHAR2)
CREATE TABLE neighborhood (id NUMBER, business_id VARCHAR2, neighborhood_name VARCHAR2)
CREATE TABLE tip (tip_id NUMBER, business_id VARCHAR2, text TEXT, user_id VARCHAR2, likes NUMBER, year NUMBER, month VARCHAR2)
CREATE TABLE review (rid NUMBER, business_id VARCHAR2, user_id VARCHAR2, rating FLOAT, text TEXT, year NUMBER, month VARCHAR2)
| Find all Apple Store in ' Los Angeles | SELECT business_id FROM business WHERE city = 'Los Angeles' AND name = 'Apple Store' | SELECT "business_id" FROM "business" WHERE "city" = 'Los Angeles' AND "name" = 'Apple Store' | 0.089844 |
CREATE TABLE table_14737 ("Unit" CLOB, "Reactor type" CLOB, "Net capacity" CLOB, "Gross capacity" CLOB, "Construction started" CLOB, "Electricity grid" CLOB, "Commercial operation" CLOB, "Shutdown" CLOB)
| What was the net capacity with a gross capacity of 1,126 mw, and a Unit of tianwan-4? | SELECT "Net capacity" FROM table_14737 WHERE "Gross capacity" = '1,126 mw' AND "Unit" = 'tianwan-4' | SELECT "Net capacity" FROM "table_14737" WHERE "Gross capacity" = '1,126 mw' AND "Unit" = 'tianwan-4' | 0.098633 |
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