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CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what was the name of the last intake that patient 016-3041 had on 03/18/last year. | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-3041')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', intakeoutput.intakeoutputtime) = '03-18' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-3041' 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"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "intakeoutput"."intakeoutputtime") = '03-18' ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.794922 |
CREATE TABLE table_54999 ("Fare Categories" CLOB, "Base Fares" CLOB, "Day Pass" CLOB, "7-Day Pass" CLOB, "30-Day Pass" CLOB)
| What is the Base Fare in the senior/disabled category? | SELECT "Base Fares" FROM table_54999 WHERE "Fare Categories" = 'senior/disabled' | SELECT "Base Fares" FROM "table_54999" WHERE "Fare Categories" = 'senior/disabled' | 0.080078 |
CREATE TABLE table_13334 ("Season" CLOB, "Rounds" FLOAT, "Champion" CLOB, "Most tries" CLOB, "Player of the Year" CLOB)
| What are the rounds for champion New Zealand (130 points)? | SELECT AVG("Rounds") FROM table_13334 WHERE "Champion" = 'new zealand (130 points)' | SELECT AVG("Rounds") FROM "table_13334" WHERE "Champion" = 'new zealand (130 points)' | 0.083008 |
CREATE TABLE table_27435931_1 (elevation_ft VARCHAR2, country VARCHAR2)
| what is elevation of tanzania? | SELECT COUNT(elevation_ft) FROM table_27435931_1 WHERE country = "Tanzania" | SELECT COUNT("elevation_ft") FROM "table_27435931_1" WHERE "Tanzania" = "country" | 0.079102 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE 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 student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Of the prerequisites , what have I already fulfilled for CHE 517 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite, student_record WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'CHE' AND COURSE_1.number = 517 AND student_record.course_id = COURSE_0.course_id AND student_record.student_id = 1 | SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "student_record" ON "COURSE_0"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'CHE' AND "COURSE_1"."number" = 517 | 0.456055 |
CREATE TABLE table_20526 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Affiliation" CLOB, "Enrollment" FLOAT, "Team Nickname" CLOB, "Primary conference" CLOB)
| What year was the team named the Raiders established? | SELECT MAX("Founded") FROM table_20526 WHERE "Team Nickname" = 'Raiders' | SELECT MAX("Founded") FROM "table_20526" WHERE "Team Nickname" = 'Raiders' | 0.072266 |
CREATE TABLE table_67720 ("Place" FLOAT, "Team" CLOB, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
| what is the place when losses is less than 12 and points is less than 19? | SELECT SUM("Place") FROM table_67720 WHERE "Lost" < '12' AND "Points" < '19' | SELECT SUM("Place") FROM "table_67720" WHERE "Lost" < '12' AND "Points" < '19' | 0.076172 |
CREATE TABLE table_name_28 (release_date VARCHAR2, title VARCHAR2)
| What's the release date of Upswept Hare? | SELECT release_date FROM table_name_28 WHERE title = "upswept hare" | SELECT "release_date" FROM "table_name_28" WHERE "title" = "upswept hare" | 0.071289 |
CREATE TABLE table_name_78 (name VARCHAR2, snatch VARCHAR2)
| Who has a Snatch of 157.0? | SELECT name FROM table_name_78 WHERE snatch = "157.0" | SELECT "name" FROM "table_name_78" WHERE "157.0" = "snatch" | 0.057617 |
CREATE TABLE table_70639 ("Season" CLOB, "Games" FLOAT, "Lost" FLOAT, "Points" FLOAT, "Goalsfor" FLOAT, "Goalsagainst" FLOAT)
| Lost of 42, and a Goalsfor larger than 195 contains how many number of games? | SELECT COUNT("Games") FROM table_70639 WHERE "Lost" = '42' AND "Goalsfor" > '195' | SELECT COUNT("Games") FROM "table_70639" WHERE "Goalsfor" > '195' AND "Lost" = '42' | 0.081055 |
CREATE TABLE Invoice (InvoiceId NUMBER, CustomerId NUMBER, InvoiceDate DATETIME, BillingAddress VARCHAR2, BillingCity VARCHAR2, BillingState VARCHAR2, BillingCountry VARCHAR2, BillingPostalCode VARCHAR2, Total NUMBER)
CREATE TABLE InvoiceLine (InvoiceLineId NUMBER, InvoiceId NUMBER, TrackId NUMBER, UnitPrice NUMBER, Quantity NUMBER)
CREATE TABLE Employee (EmployeeId NUMBER, LastName VARCHAR2, FirstName VARCHAR2, Title VARCHAR2, ReportsTo NUMBER, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2)
CREATE TABLE PlaylistTrack (PlaylistId NUMBER, TrackId NUMBER)
CREATE TABLE Track (TrackId NUMBER, Name VARCHAR2, AlbumId NUMBER, MediaTypeId NUMBER, GenreId NUMBER, Composer VARCHAR2, Milliseconds NUMBER, Bytes NUMBER, UnitPrice NUMBER)
CREATE TABLE Playlist (PlaylistId NUMBER, Name VARCHAR2)
CREATE TABLE MediaType (MediaTypeId NUMBER, Name VARCHAR2)
CREATE TABLE Genre (GenreId NUMBER, Name VARCHAR2)
CREATE TABLE Artist (ArtistId NUMBER, Name VARCHAR2)
CREATE TABLE Album (AlbumId NUMBER, Title VARCHAR2, ArtistId NUMBER)
CREATE TABLE Customer (CustomerId NUMBER, FirstName VARCHAR2, LastName VARCHAR2, Company VARCHAR2, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2, SupportRepId NUMBER)
| What are the number of the invoice dates for customers with the first name Astrid and the last name Gruber?, and display from low to high by the Y. | SELECT InvoiceDate, COUNT(InvoiceDate) FROM Customer AS T1 JOIN Invoice AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.FirstName = "Astrid" AND LastName = "Gruber" ORDER BY COUNT(InvoiceDate) | SELECT "InvoiceDate", COUNT("InvoiceDate") FROM "Customer" "T1" JOIN "Invoice" "T2" ON "T1"."CustomerId" = "T2"."CustomerId" WHERE "Astrid" = "T1"."FirstName" AND "Gruber" = "LastName" ORDER BY COUNT("InvoiceDate") | 0.208984 |
CREATE TABLE table_40774 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the most number of Bronze medals won among the countries that have won more than 1 medal, more than 1 gold medal, and have a rank bigger than 1? | SELECT MAX("Bronze") FROM table_40774 WHERE "Total" > '1' AND "Rank" > '1' AND "Gold" > '1' | SELECT MAX("Bronze") FROM "table_40774" WHERE "Gold" > '1' AND "Rank" > '1' AND "Total" > '1' | 0.09082 |
CREATE TABLE table_23465864_5 (mon_24_aug VARCHAR2, fri_28_aug VARCHAR2)
| What is every value for Monday August 24 if Friday August 28 is 23' 22.25 96.864mph? | SELECT mon_24_aug FROM table_23465864_5 WHERE fri_28_aug = "23' 22.25 96.864mph" | SELECT "mon_24_aug" FROM "table_23465864_5" WHERE "23' 22.25 96.864mph" = "fri_28_aug" | 0.083984 |
CREATE TABLE table_54445 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What driver has 44 laps? | SELECT "Driver" FROM table_54445 WHERE "Laps" = '44' | SELECT "Driver" FROM "table_54445" WHERE "Laps" = '44' | 0.052734 |
CREATE TABLE table_57011 ("Year" FLOAT, "Author" CLOB, "English title" CLOB, "Original title" CLOB, "Representing" CLOB)
| What is the year for the ocean? | SELECT "Year" FROM table_57011 WHERE "English title" = 'the ocean' | SELECT "Year" FROM "table_57011" WHERE "English title" = 'the ocean' | 0.066406 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients that died stayed in hospital above 11 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.days_stay > "11" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "11" < "demographic"."days_stay" | 0.141602 |
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 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)
| find how many patients discharged at home were under the age of 68? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.age < "68" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "68" > "demographic"."age" AND "HOME" = "demographic"."discharge_location" | 0.145508 |
CREATE TABLE table_name_48 (crowd NUMBER, home_team VARCHAR2)
| What is the largest crowd for North Melbourne home games? | SELECT MAX(crowd) FROM table_name_48 WHERE home_team = "north melbourne" | SELECT MAX("crowd") FROM "table_name_48" WHERE "home_team" = "north melbourne" | 0.076172 |
CREATE TABLE region (Region_ID NUMBER, Region_name CLOB, Date CLOB, Label CLOB, Format CLOB, Catalogue CLOB)
CREATE TABLE party_events (Event_ID NUMBER, Event_Name CLOB, Party_ID NUMBER, Member_in_charge_ID NUMBER)
CREATE TABLE party (Party_ID NUMBER, Minister CLOB, Took_office CLOB, Left_office CLOB, Region_ID NUMBER, Party_name CLOB)
CREATE TABLE member (Member_ID NUMBER, Member_Name CLOB, Party_ID CLOB, In_office CLOB)
| I want to know the proportion of the total number for each minister. | SELECT Minister, COUNT(Minister) FROM party GROUP BY Minister | SELECT "Minister", COUNT("Minister") FROM "party" GROUP BY "Minister" | 0.067383 |
CREATE TABLE table_9773 ("Episode #" CLOB, "Original airdate ( UK ) " CLOB, "Episode title" CLOB, "Doctor Who episode" CLOB, "Webcast link" CLOB)
| Which Episode title has a Episode # of s2? | SELECT "Episode title" FROM table_9773 WHERE "Episode #" = 's2' | SELECT "Episode title" FROM "table_9773" WHERE "Episode #" = 's2' | 0.063477 |
CREATE TABLE table_14153 ("Year" FLOAT, "September" CLOB, "October" CLOB, "November" CLOB, "December" CLOB)
| Who is in December when November has Alexus Winston? | SELECT "December" FROM table_14153 WHERE "November" = 'alexus winston' | SELECT "December" FROM "table_14153" WHERE "November" = 'alexus winston' | 0.070313 |
CREATE TABLE table_6130 ("Year" FLOAT, "Winner" CLOB, "Jockey" CLOB, "Trainer" CLOB, "Owner" CLOB, "Time" CLOB, "Purse" CLOB)
| What was the purse when the trainer was Aidan O'Brien? | SELECT "Purse" FROM table_6130 WHERE "Trainer" = 'aidan o''brien' | SELECT "Purse" FROM "table_6130" WHERE "Trainer" = 'aidan o''brien' | 0.06543 |
CREATE TABLE table_35924 ("Year" FLOAT, "Tournament" CLOB, "Venue" CLOB, "Result" CLOB, "Extra" CLOB)
| What result has a year after 2002? | SELECT "Result" FROM table_35924 WHERE "Year" > '2002' | SELECT "Result" FROM "table_35924" WHERE "Year" > '2002' | 0.054688 |
CREATE TABLE table_75438 ("Game" FLOAT, "December" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| Which Game is the highest one that has a Record of 4-3-6? | SELECT MAX("Game") FROM table_75438 WHERE "Record" = '4-3-6' | SELECT MAX("Game") FROM "table_75438" WHERE "Record" = '4-3-6' | 0.060547 |
CREATE TABLE table_47951 ("Date" CLOB, "Region" CLOB, "Label" CLOB, "Catalogue" CLOB, "Format" CLOB)
| What is Label, when Date is 1987? | SELECT "Label" FROM table_47951 WHERE "Date" = '1987' | SELECT "Label" FROM "table_47951" WHERE "Date" = '1987' | 0.053711 |
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)
| what is minimum age of patients whose primary disease is bladder cancer/sda and admission year is greater than or equal to 2164? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "BLADDER CANCER/SDA" AND demographic.admityear >= "2164" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2164" <= "demographic"."admityear" AND "BLADDER CANCER/SDA" = "demographic"."diagnosis" | 0.141602 |
CREATE TABLE table_22834 ("\\u5366\\u540d Name" CLOB, "\\u81ea\\u7136 Nature" CLOB, "\\u5b63\\u8282 Season" CLOB, "\\u6027\\u60c5 Personality" CLOB, "\\u5bb6\\u65cf Family" CLOB, "\\u65b9\\u4f4d Direction" CLOB, "\\u610f\\u7fa9 Meaning" CLOB)
| Who in the family has a gentle personality? | SELECT "\u5bb6\u65cf Family" FROM table_22834 WHERE "\u6027\u60c5 Personality" = 'Gentle' | SELECT "\u5bb6\u65cf Family" FROM "table_22834" WHERE "\u6027\u60c5 Personality" = 'Gentle' | 0.088867 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Give me the list of patients who were diagnosed with acute kidney failure (unspecified) that were administered the drug via the tp route. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Acute kidney failure NOS" AND prescriptions.route = "TP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute kidney failure NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "TP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_78874 ("Team" CLOB, "Average" FLOAT, "Points" FLOAT, "Played" FLOAT, "1989-90" CLOB, "1990-91" CLOB, "1991-1992" FLOAT)
| How much 1991-1992 has a 1989-90 of 36, and an Average of 0.8250000000000001? | SELECT COUNT("1991-1992") FROM table_78874 WHERE "1989-90" = '36' AND "Average" = '0.8250000000000001' | SELECT COUNT("1991-1992") FROM "table_78874" WHERE "1989-90" = '36' AND "Average" = '0.8250000000000001' | 0.101563 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| what is the number of patients whose ethnicity is hispanic or latino and diagnoses icd9 code is 42741? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND diagnoses.icd9_code = "42741" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "42741" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "HISPANIC OR LATINO" = "demographic"."ethnicity" | 0.223633 |
CREATE TABLE table_5154 ("Player" CLOB, "Country" CLOB, "Major" CLOB, "Date" CLOB, "To par" CLOB, "Finish" CLOB)
| On what Date was The Open Championship in Japan? | SELECT "Date" FROM table_5154 WHERE "Major" = 'the open championship' AND "Country" = 'japan' | SELECT "Date" FROM "table_5154" WHERE "Country" = 'japan' AND "Major" = 'the open championship' | 0.092773 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport (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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
| flights from NASHVILLE to ORLANDO DAILY | 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 = 'NASHVILLE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ORLANDO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.flight_days = 'DAILY' | 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" = 'NASHVILLE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."flight_days" = 'DAILY' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ORLANDO' | 0.520508 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| the respiratory rate of patient 8098 had been less than 24.0 until 02/09/2104? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8098)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respiratory rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 24.0 AND STRFTIME('%y-%m-%d', chartevents.charttime) <= '2104-02-09' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8098 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'respiratory rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 24.0 AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "chartevents"."charttime") <= '2104-02-09' | 0.755859 |
CREATE TABLE table_16996 ("Marginal Ordinary Income Tax Rate" CLOB, "Single" CLOB, "Married Filing Jointly or Qualified Widow ( er ) " CLOB, "Married Filing Separately" CLOB, "Head of Household" CLOB)
| What is the amoun of marginal ordinary income tax rate where married filing jointly or qualified widow is $208,851 $372,950? | SELECT COUNT("Marginal Ordinary Income Tax Rate") FROM table_16996 WHERE "Married Filing Jointly or Qualified Widow(er)" = '$208,851–$372,950' | SELECT COUNT("Marginal Ordinary Income Tax Rate") FROM "table_16996" WHERE "Married Filing Jointly or Qualified Widow(er)" = '$208,851–$372,950' | 0.140625 |
CREATE TABLE d_icd_diagnoses (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 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 procedures_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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| count the number of patients that received aortcor bypas-4+ cor art within the same hospital visit after having been diagnosed with intermed coronary synd since 2104. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id 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 = 'intermed coronary synd') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2104') AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'aortcor bypas-4+ cor art') AND STRFTIME('%y', procedures_icd.charttime) >= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'aortcor bypas-4+ cor art' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'intermed coronary synd' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2104' | 0.900391 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| How many courses for each course description? Show me a bar chart. | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY CRS_DESCRIPTION | SELECT "CRS_DESCRIPTION", COUNT("CRS_DESCRIPTION") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" JOIN "PROFESSOR" "T4" ON "T2"."EMP_NUM" = "T4"."EMP_NUM" GROUP BY "CRS_DESCRIPTION" | 0.258789 |
CREATE TABLE table_204_771 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many medals did venezuela win in this competition ? | SELECT "total" FROM table_204_771 WHERE "nation" = 'venezuela' | SELECT "total" FROM "table_204_771" WHERE "nation" = 'venezuela' | 0.0625 |
CREATE TABLE table_204_979 (id NUMBER, "place" NUMBER, "nation" CLOB, "5 hoops" CLOB, "3 balls , \ 2 ribbons" CLOB, "total" NUMBER)
| tell me the only country to schore below 38 total points . | SELECT "nation" FROM table_204_979 WHERE "total" < 38 | SELECT "nation" FROM "table_204_979" WHERE "total" < 38 | 0.053711 |
CREATE TABLE table_name_56 (rank NUMBER, name VARCHAR2, places VARCHAR2)
| What was the average rank of Wolfgang Schwarz with greater than 13 places? | SELECT AVG(rank) FROM table_name_56 WHERE name = "wolfgang schwarz" AND places > 13 | SELECT AVG("rank") FROM "table_name_56" WHERE "name" = "wolfgang schwarz" AND "places" > 13 | 0.088867 |
CREATE TABLE table_204_906 (id NUMBER, "#" NUMBER, "title" CLOB, "songwriters" CLOB, "producer ( s ) " CLOB, "performer" CLOB)
| what is the total number of interludes on the list ? | SELECT COUNT(*) FROM table_204_906 WHERE "performer" = 'interlude' | SELECT COUNT(*) FROM "table_204_906" WHERE "performer" = 'interlude' | 0.066406 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| how many of the patients with item id 51095 were aged below 59? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "59" AND lab.itemid = "51095" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51095" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "59" > "demographic"."age" | 0.181641 |
CREATE TABLE table_204_600 (id NUMBER, "name" CLOB, "status" CLOB, "population" NUMBER, "district" CLOB, "former local authority" CLOB)
| what is the largest area in terms of population ? | SELECT "name" FROM table_204_600 ORDER BY "population" DESC LIMIT 1 | SELECT "name" FROM "table_204_600" ORDER BY "population" DESC FETCH FIRST 1 ROWS ONLY | 0.083008 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, and could you rank by the Y-axis in desc? | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC | SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY SUM("DEPARTMENT_ID") DESC | 0.257813 |
CREATE TABLE table_34841 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the loss of the game when the record was 46-84? | SELECT "Loss" FROM table_34841 WHERE "Record" = '46-84' | SELECT "Loss" FROM "table_34841" WHERE "Record" = '46-84' | 0.055664 |
CREATE TABLE country (Country_id VARCHAR2, Capital VARCHAR2)
CREATE TABLE match_season (Position VARCHAR2, Country VARCHAR2)
| What are the distinct positions of the players from a country whose capital is Dublin? | SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin" | SELECT DISTINCT "T2"."Position" FROM "country" "T1" JOIN "match_season" "T2" ON "T1"."Country_id" = "T2"."Country" WHERE "Dublin" = "T1"."Capital" | 0.142578 |
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 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)
| give me the number of patients with diagnoses icd9 code 2631 for whom csf lab test was ordered. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "2631" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2631" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.270508 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
| What is the total number of all football games played by scholarship students? | SELECT SUM(gamesplayed) FROM sportsinfo WHERE sportname = "Football" AND onscholarship = 'Y' | SELECT SUM("gamesplayed") FROM "sportsinfo" WHERE "Football" = "sportname" AND "onscholarship" = 'Y' | 0.097656 |
CREATE TABLE table_27596 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Position in table" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB)
| Name the number of teams for 11th position september 10 | SELECT COUNT("Team") FROM table_27596 WHERE "Position in table" = '11th' AND "Date of appointment" = 'September 10' | SELECT COUNT("Team") FROM "table_27596" WHERE "Date of appointment" = 'September 10' AND "Position in table" = '11th' | 0.114258 |
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 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)
| how many patients admitted on emergency basis were given vaccination not elsewhere classified? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.short_title = "Vaccination NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Vaccination NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.234375 |
CREATE TABLE table_66629 ("Position" FLOAT, "Name" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| Which Lost has Points smaller than 15, and a Name of sc forst, and Drawn smaller than 0? | SELECT AVG("Lost") FROM table_66629 WHERE "Points" < '15' AND "Name" = 'sc forst' AND "Drawn" < '0' | SELECT AVG("Lost") FROM "table_66629" WHERE "Drawn" < '0' AND "Name" = 'sc forst' AND "Points" < '15' | 0.098633 |
CREATE TABLE table_53348 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| How much time does it take for jean alesi and grids lesser than 5? | SELECT "Time/Retired" FROM table_53348 WHERE "Grid" < '5' AND "Driver" = 'jean alesi' | SELECT "Time/Retired" FROM "table_53348" WHERE "Driver" = 'jean alesi' AND "Grid" < '5' | 0.084961 |
CREATE TABLE table_51639 ("Year" FLOAT, "Franchise" CLOB, "League" CLOB, "Percentage" FLOAT, "Finish" CLOB)
| Which Franchise has a Percentage under 0.707, a Year larger than 1931, and the Finish was won 1998 World Series? | SELECT "Franchise" FROM table_51639 WHERE "Percentage" < '0.707' AND "Year" > '1931' AND "Finish" = 'won 1998 world series' | SELECT "Franchise" FROM "table_51639" WHERE "Finish" = 'won 1998 world series' AND "Percentage" < '0.707' AND "Year" > '1931' | 0.12207 |
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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| how much is the total hospital bill for patient 19412 during his stay on the current hospital encounter? | SELECT SUM(cost.cost) FROM cost WHERE cost.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19412 AND admissions.dischtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 19412 GROUP BY "hadm_id") SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.275391 |
CREATE TABLE table_name_29 (int_percentage VARCHAR2, ravg VARCHAR2)
| What is the int percentage that has Ravg of 2.8? | SELECT int_percentage FROM table_name_29 WHERE ravg = "2.8" | SELECT "int_percentage" FROM "table_name_29" WHERE "2.8" = "ravg" | 0.063477 |
CREATE TABLE table_73330 ("Year" FLOAT, "Division" FLOAT, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "National Open" CLOB)
| What is the highest number of divisions mentioned? | SELECT MAX("Division") FROM table_73330 | SELECT MAX("Division") FROM "table_73330" | 0.040039 |
CREATE TABLE table_23908 ("School" CLOB, "Location ( s ) " CLOB, "Control" CLOB, "Type" CLOB, "Accreditation" CLOB, "Founded" CLOB, "Enrollment" CLOB)
| What type of school is Cordoba University? | SELECT "Type" FROM table_23908 WHERE "School" = 'Cordoba University' | SELECT "Type" FROM "table_23908" WHERE "School" = 'Cordoba University' | 0.068359 |
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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_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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| flights from WESTCHESTER COUNTY to SAN FRANCISCO DAILY | 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 = 'WESTCHESTER COUNTY' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.flight_days = 'DAILY' | 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" = 'WESTCHESTER COUNTY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."flight_days" = 'DAILY' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.535156 |
CREATE TABLE CHARACTERISTICS (characteristic_id VARCHAR2, characteristic_name VARCHAR2)
CREATE TABLE products (product_id VARCHAR2, color_code VARCHAR2)
CREATE TABLE product_characteristics (product_id VARCHAR2, characteristic_id VARCHAR2)
CREATE TABLE ref_colors (color_code VARCHAR2, color_description VARCHAR2)
| Find the number of the products that have their color described as 'red' and have a characteristic named 'slow'. | SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "slow" | SELECT COUNT(*) FROM "products" "t1" JOIN "product_characteristics" "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "ref_colors" "t4" ON "red" = "t4"."color_description" AND "t1"."color_code" = "t4"."color_code" JOIN "CHARACTERISTICS" "t3" ON "slow" = "t3"."characteristic_name" AND "t2"."characteristic_id" = "t3"."characteristic_id" | 0.329102 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| At what time was the patient with patient id 2560 admitted in the hospital? | SELECT demographic.admittime FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."admittime" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE table_name_27 (erp_w NUMBER, frequency_mhz VARCHAR2)
| What is the least ERP W when the freguency MHz is 89.3 fm? | SELECT MIN(erp_w) FROM table_name_27 WHERE frequency_mhz = "89.3 fm" | SELECT MIN("erp_w") FROM "table_name_27" WHERE "89.3 fm" = "frequency_mhz" | 0.072266 |
CREATE TABLE volume (volume_id NUMBER, volume_issue CLOB, issue_date CLOB, weeks_on_top NUMBER, song CLOB, artist_id NUMBER)
CREATE TABLE music_festival (id NUMBER, music_festival CLOB, date_of_ceremony CLOB, category CLOB, volume NUMBER, result CLOB)
CREATE TABLE artist (artist_id NUMBER, artist CLOB, age NUMBER, famous_title CLOB, famous_release_date CLOB)
| What are the famous title of the artists associated with volumes with more than 2 weeks on top? | SELECT T1.famous_title FROM artist AS T1 JOIN volume AS T2 ON T1.artist_id = T2.artist_id WHERE T2.weeks_on_top > 2 | SELECT "T1"."famous_title" FROM "artist" "T1" JOIN "volume" "T2" ON "T1"."artist_id" = "T2"."artist_id" AND "T2"."weeks_on_top" > 2 | 0.12793 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, show me about the distribution of hire_date and the average of department_id bin hire_date by weekday in a bar chart, I want to show in desc by the y-axis. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("DEPARTMENT_ID") DESC | 0.12207 |
CREATE TABLE table_name_17 (bronze NUMBER, gold VARCHAR2, silver VARCHAR2, total VARCHAR2)
| Name the most bronze for silver more than 6 and total less than 127 with gold less than 11 | SELECT MAX(bronze) FROM table_name_17 WHERE silver > 6 AND total < 127 AND gold < 11 | SELECT MAX("bronze") FROM "table_name_17" WHERE "gold" < 11 AND "silver" > 6 AND "total" < 127 | 0.091797 |
CREATE TABLE table_name_60 (team VARCHAR2, qual_2 VARCHAR2)
| What Team had a 1:24.365 Qual 2? | SELECT team FROM table_name_60 WHERE qual_2 = "1:24.365" | SELECT "team" FROM "table_name_60" WHERE "1:24.365" = "qual_2" | 0.060547 |
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
| How many races are held in each year after 2014? Show me a bar chart, I want to order x-axis in ascending order please. | SELECT year, COUNT(year) FROM races AS T1 JOIN results AS T2 ON T1.raceId = T2.raceId WHERE T1.year > 2014 GROUP BY year ORDER BY year | SELECT "year", COUNT("year") FROM "races" "T1" JOIN "results" "T2" ON "T1"."raceId" = "T2"."raceId" WHERE "T1"."year" > 2014 GROUP BY "year" ORDER BY "year" | 0.152344 |
CREATE TABLE table_57725 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| In what venue does Footscray play? | SELECT "Venue" FROM table_57725 WHERE "Home team" = 'footscray' | SELECT "Venue" FROM "table_57725" WHERE "Home team" = 'footscray' | 0.063477 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| What percentile am I in for a given tag?. Determines where you rank in a given tag as of the last data load | SELECT STR(NTILE(100) OVER (ORDER BY SUM(answers.Score) DESC), 5) + '%' AS "top", ROW_NUMBER() OVER (ORDER BY SUM(answers.Score) DESC) AS "ranking", Users.Id AS "user_link", SUM(answers.Score) AS "total_score" FROM Tags JOIN PostTags ON Tags.Id = PostTags.TagId AND Tags.TagName = '##TagName##' JOIN Posts AS questions ON questions.Id = PostTags.PostId AND questions.CommunityOwnedDate IS NULL JOIN Posts AS answers ON answers.ParentId = questions.Id AND answers.Score != 0 AND NOT answers.OwnerUserId IS NULL AND answers.CommunityOwnedDate IS NULL JOIN Users ON answers.OwnerUserId = Users.Id GROUP BY Users.Id ORDER BY CASE Users.Id WHEN '##UserId##' THEN 1 ELSE 0 END DESC, 'total_score' DESC LIMIT 300 | SELECT STR(NTILE(100) OVER (ORDER BY SUM("answers"."Score") DESC), 5) + '%' AS "top", ROW_NUMBER() OVER (ORDER BY SUM("answers"."Score") DESC) AS "ranking", "Users"."Id" AS "user_link", SUM("answers"."Score") AS "total_score" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = '##TagName##' JOIN "Posts" "questions" ON "PostTags"."PostId" = "questions"."Id" AND "questions"."CommunityOwnedDate" IS NULL JOIN "Posts" "answers" ON "answers"."CommunityOwnedDate" IS NULL AND "answers"."ParentId" = "questions"."Id" AND "answers"."Score" <> 0 AND NOT "answers"."OwnerUserId" IS NULL JOIN "Users" ON "Users"."Id" = "answers"."OwnerUserId" GROUP BY "Users"."Id" ORDER BY CASE WHEN "Users"."Id" = '##UserId##' THEN 1 ELSE 0 END DESC, 'total_score' DESC FETCH FIRST 300 ROWS ONLY | 0.788086 |
CREATE TABLE table_37021 ("Player" CLOB, "League" FLOAT, "Malaysia Cup" FLOAT, "FA Cup" FLOAT, "Total" FLOAT)
| How many Malaysia Cups have a Total larger than 3, and a Player of ivan yusoff, and a League smaller than 2? | SELECT COUNT("Malaysia Cup") FROM table_37021 WHERE "Total" > '3' AND "Player" = 'ivan yusoff' AND "League" < '2' | SELECT COUNT("Malaysia Cup") FROM "table_37021" WHERE "League" < '2' AND "Player" = 'ivan yusoff' AND "Total" > '3' | 0.112305 |
CREATE TABLE table_name_89 (score VARCHAR2, tie_no VARCHAR2)
| What was the score when the Tie no was 6? | SELECT score FROM table_name_89 WHERE tie_no = 6 | SELECT "score" FROM "table_name_89" WHERE "tie_no" = 6 | 0.052734 |
CREATE TABLE table_49764 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What is the score of the game with 39,592 attendance? | SELECT "Score" FROM table_49764 WHERE "Attendance" = '39,592' | SELECT "Score" FROM "table_49764" WHERE "Attendance" = '39,592' | 0.061523 |
CREATE TABLE table_name_99 (attendance NUMBER, opponent VARCHAR2, record VARCHAR2)
| What was the highest attendance when the opponent was the Indians and the record was 13-4? | SELECT MAX(attendance) FROM table_name_99 WHERE opponent = "indians" AND record = "13-4" | SELECT MAX("attendance") FROM "table_name_99" WHERE "13-4" = "record" AND "indians" = "opponent" | 0.09375 |
CREATE TABLE table_name_90 (team_1 VARCHAR2)
| Name the 2nd leg for team 1 of hamburg | SELECT 2 AS nd_leg FROM table_name_90 WHERE team_1 = "hamburg" | SELECT 2 AS "nd_leg" FROM "table_name_90" WHERE "hamburg" = "team_1" | 0.066406 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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)
| how many prescriptions for advair diskus since 1 year ago? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'advair diskus' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-1 year') | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'advair diskus' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-1 year') | 0.160156 |
CREATE TABLE table_203_104 (id NUMBER, "athlete" CLOB, "nation" CLOB, "olympics" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many total medals has the united states won in women 's figure skating ? | SELECT SUM("total") FROM table_203_104 WHERE "nation" = 'united states' | SELECT SUM("total") FROM "table_203_104" WHERE "nation" = 'united states' | 0.071289 |
CREATE TABLE table_52660 ("Chemical class" CLOB, "Group" CLOB, "Formula" CLOB, "Prefix" CLOB, "Suffix" CLOB, "Example" CLOB)
| What prefix has Haloalkane as the chemical class? | SELECT "Prefix" FROM table_52660 WHERE "Chemical class" = 'haloalkane' | SELECT "Prefix" FROM "table_52660" WHERE "Chemical class" = 'haloalkane' | 0.070313 |
CREATE TABLE table_73047 ("Stage" FLOAT, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB)
| When philippe gilbert is the winner who is the points classification? | SELECT "Points classification" FROM table_73047 WHERE "Winner" = 'Philippe Gilbert' | SELECT "Points classification" FROM "table_73047" WHERE "Winner" = 'Philippe Gilbert' | 0.083008 |
CREATE TABLE table_6542 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Name the men's singles for christian wagener christian esch | SELECT "Men's singles" FROM table_6542 WHERE "Men's doubles" = 'christian wagener christian esch' | SELECT "Men's singles" FROM "table_6542" WHERE "Men's doubles" = 'christian wagener christian esch' | 0.09668 |
CREATE TABLE table_75009 ("Series Ep." CLOB, "Episode" FLOAT, "Netflix" CLOB, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| Segment B of aerospace fuel lines has what segment A? | SELECT "Segment A" FROM table_75009 WHERE "Segment B" = 'aerospace fuel lines' | SELECT "Segment A" FROM "table_75009" WHERE "Segment B" = 'aerospace fuel lines' | 0.078125 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how many patients have been discharged from hospital. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL | SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE NOT "admissions"."dischtime" IS NULL | 0.106445 |
CREATE TABLE table_name_33 (manufacture VARCHAR2, opened_in VARCHAR2, type VARCHAR2)
| Who is the manufacturer of the mini jet red baron ride that opened before 2001? | SELECT manufacture FROM table_name_33 WHERE opened_in < 2001 AND type = "mini jet red baron" | SELECT "manufacture" FROM "table_name_33" WHERE "mini jet red baron" = "type" AND "opened_in" < 2001 | 0.097656 |
CREATE TABLE table_name_50 (athlete VARCHAR2, notes VARCHAR2, country VARCHAR2)
| Who was the athlete from egypt with q in the notes? | SELECT athlete FROM table_name_50 WHERE notes = "q" AND country = "egypt" | SELECT "athlete" FROM "table_name_50" WHERE "country" = "egypt" AND "notes" = "q" | 0.079102 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
| The Fall 2005 CMBIOL 995 classes are taught by how many professors ? | SELECT COUNT(DISTINCT instructor.instructor_id) FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'CMBIOL' AND course.number = 995 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'Fall' AND semester.semester_id = course_offering.semester AND semester.year = 2005 | SELECT COUNT(DISTINCT "instructor"."instructor_id") FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Fall' AND "semester"."year" = 2005 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'CMBIOL' AND "course"."number" = 995 | 0.527344 |
CREATE TABLE table_31713 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Tell me the opponent of week 14 | SELECT "Opponent" FROM table_31713 WHERE "Week" = '14' | SELECT "Opponent" FROM "table_31713" WHERE "Week" = '14' | 0.054688 |
CREATE TABLE table_28893 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Name the party for hutchins g. burton | SELECT "Party" FROM table_28893 WHERE "Incumbent" = 'Hutchins G. Burton' | SELECT "Party" FROM "table_28893" WHERE "Incumbent" = 'Hutchins G. Burton' | 0.072266 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| when was the first time in which patient 92721 received a dx ultrasound-heart procedure since 2105? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'dx ultrasound-heart') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92721) AND STRFTIME('%y', procedures_icd.charttime) >= '2105' ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 92721 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'dx ultrasound-heart' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") >= '2105' ORDER BY "procedures_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.533203 |
CREATE TABLE table_60904 ("Name" CLOB, "Mail transfer agent" CLOB, "Mail storage type" CLOB, "IMAP server" CLOB, "IMAP shared" CLOB, "Calendar format" CLOB, "Calendar shared" CLOB, "IM server" CLOB, "WebDAV" CLOB, "Web UI" CLOB, "Contacts shared" CLOB, "Files shared" CLOB, "Web admin UI" CLOB)
| What IMAP sharing options exist for software with a web UI? | SELECT "IMAP shared" FROM table_60904 WHERE "Web UI" = 'web ui' | SELECT "IMAP shared" FROM "table_60904" WHERE "Web UI" = 'web ui' | 0.063477 |
CREATE TABLE table_66161 ("Pick" FLOAT, "Player" CLOB, "Team" CLOB, "Position" CLOB, "School" CLOB)
| What is John Curtice's position? | SELECT "Position" FROM table_66161 WHERE "Player" = 'john curtice' | SELECT "Position" FROM "table_66161" WHERE "Player" = 'john curtice' | 0.066406 |
CREATE TABLE party_host (Party_ID NUMBER, Host_ID NUMBER, Is_Main_in_Charge BOOLEAN)
CREATE TABLE host (Host_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB)
CREATE TABLE party (Party_ID NUMBER, Party_Theme CLOB, Location CLOB, First_year CLOB, Last_year CLOB, Number_of_hosts NUMBER)
| A bar chart about how many hosts does each nationality have? List the nationality and the count. | SELECT Nationality, COUNT(*) FROM host GROUP BY Nationality | SELECT "Nationality", COUNT(*) FROM "host" GROUP BY "Nationality" | 0.063477 |
CREATE TABLE table_32674 ("Orchestra" CLOB, "Conductor" CLOB, "Record Company" CLOB, "Year of Recording" FLOAT, "Format" CLOB)
| Who is the conductor when the chicago symphony orchestra is featured? | SELECT "Conductor" FROM table_32674 WHERE "Orchestra" = 'chicago symphony orchestra' | SELECT "Conductor" FROM "table_32674" WHERE "Orchestra" = 'chicago symphony orchestra' | 0.083984 |
CREATE TABLE table_name_21 (attendance VARCHAR2, game_site VARCHAR2)
| What was the attendance of the Cup Quarterfinals game? | SELECT attendance FROM table_name_21 WHERE game_site = "cup quarterfinals" | SELECT "attendance" FROM "table_name_21" WHERE "cup quarterfinals" = "game_site" | 0.078125 |
CREATE TABLE table_204_279 (id NUMBER, "name of place" CLOB, "number\ of\ counties" NUMBER, "principal\ county" CLOB, "zip code\ lower" NUMBER, "zip code\ upper" NUMBER)
| other than dixon , name a city in larimer county . | SELECT "name of place" FROM table_204_279 WHERE "name of place" <> 'dixon' AND "principal\ncounty" = 'larimer county' | SELECT "name of place" FROM "table_204_279" WHERE "name of place" <> 'dixon' AND "principal\ncounty" = 'larimer county' | 0.116211 |
CREATE TABLE table_36513 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What score was on July 25? | SELECT "Score" FROM table_36513 WHERE "Date" = 'july 25' | SELECT "Score" FROM "table_36513" WHERE "Date" = 'july 25' | 0.056641 |
CREATE TABLE table_11411026_2 (written_by VARCHAR2, us_viewers__millions_ VARCHAR2)
| Who wrote an episode watched by 19.01 million US viewers? | SELECT written_by FROM table_11411026_2 WHERE us_viewers__millions_ = "19.01" | SELECT "written_by" FROM "table_11411026_2" WHERE "19.01" = "us_viewers__millions_" | 0.081055 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose ethnicity is asian and admission year is less than 2108? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.admityear < "2108" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2108" > "demographic"."admityear" AND "ASIAN" = "demographic"."ethnicity" | 0.145508 |
CREATE TABLE table_name_16 (max_power VARCHAR2)
| What is the 0 100km/h (62mph) when the max power is s diesel engine all direct injection (dci)? | SELECT 0 AS _100km_h__62mph_ FROM table_name_16 WHERE max_power = "s diesel engine all direct injection (dci)" | SELECT 0 AS "_100km_h__62mph_" FROM "table_name_16" WHERE "max_power" = "s diesel engine all direct injection (dci)" | 0.113281 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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)
| how much does a procedure known as appl ext fix-tib/fibula cost? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'appl ext fix-tib/fibula')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'appl ext fix-tib/fibula' 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" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.40332 |
CREATE TABLE table_30735 ("Region name" CLOB, "State name" CLOB, "Region #" FLOAT, "Page count" FLOAT, "Regional Page #" CLOB)
| In the North Central region, what are the regional page #'s? | SELECT "Regional Page #" FROM table_30735 WHERE "Region name" = 'North Central' | SELECT "Regional Page #" FROM "table_30735" WHERE "Region name" = 'North Central' | 0.079102 |
CREATE TABLE table_56581 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How big is the Venue of Brunswick Street Oval? | SELECT SUM("Crowd") FROM table_56581 WHERE "Venue" = 'brunswick street oval' | SELECT SUM("Crowd") FROM "table_56581" WHERE "Venue" = 'brunswick street oval' | 0.076172 |
CREATE TABLE table_name_85 (total NUMBER, bronze VARCHAR2, nation VARCHAR2)
| What is the lowest total when the Bronze metals are larger than 0 and the nation is France (fra)? | SELECT MIN(total) FROM table_name_85 WHERE bronze > 0 AND nation = "france (fra)" | SELECT MIN("total") FROM "table_name_85" WHERE "bronze" > 0 AND "france (fra)" = "nation" | 0.086914 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is drug type and drug route of drug code isos10? | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "ISOS10" | SELECT "prescriptions"."drug_type", "prescriptions"."route" FROM "prescriptions" WHERE "ISOS10" = "prescriptions"."formulary_drug_cd" | 0.129883 |
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