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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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many of the patients diagnosed with abscess of intestine were treated with drug dialys? | 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.long_title = "Abscess of intestine" AND prescriptions.route = "DIALYS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Abscess of intestine" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "DIALYS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.297852 |
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_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_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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| What 's the total number of weekly lectures for MACROMOL 412 ? | SELECT (SELECT SUM(CASE WHEN DERIVED_TABLEalias0.FRIDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.MONDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.SATURDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.SUNDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.THURSDAY = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN DERIVED_TABLEalias0.TUESDAY = 'Y' THEN 1 ELSE 0 END) + DERIVED_FIELDalias6 FROM (SELECT SUM(CASE WHEN DERIVED_TABLEalias0.FRIDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.MONDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.SATURDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.SUNDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.THURSDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.TUESDAY = 'Y' THEN 1 ELSE 0 END), SUM(CASE WHEN DERIVED_TABLEalias0.WEDNESDAY = 'Y' THEN 1 ELSE 0 END), COURSE_OFFERING, SEMESTER WHERE COURSEalias0.COURSE_ID = COURSE_OFFERING.COURSE_ID AND COURSEalias0.DEPARTMENT = 'MACROMOL' AND COURSEalias0.NUMBER = 412 AND SEMESTER.SEMESTER = 'WN' AND SEMESTER.SEMESTER_ID = COURSE_OFFERING.SEMESTER AND SEMESTER.YEAR = 2016 LIMIT 1) AS DERIVED_TABLEalias0) AS DERIVED_TABLEalias1 | WITH "_u_0" AS (SELECT MAX(1) AS "_", "COURSE_OFFERING"."COURSE_ID" AS "_u_1", "COURSEalias0"."COURSE_ID" AS "_u_2", 'MACROMOL' AS "_u_3", 412 AS "_u_4", 'WN' AS "_u_5", "COURSE_OFFERING"."SEMESTER" AS "_u_6", "SEMESTER"."SEMESTER_ID" AS "_u_7", 2016 AS "_u_8" GROUP BY "COURSE_OFFERING"."COURSE_ID", "COURSEalias0"."COURSE_ID", 'MACROMOL', 412, 'WN', "COURSE_OFFERING"."SEMESTER", "SEMESTER"."SEMESTER_ID", 2016 FETCH FIRST 1 ROWS ONLY) SELECT (SELECT SUM(CASE WHEN "DERIVED_TABLEalias0"."FRIDAY" = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN "DERIVED_TABLEalias0"."MONDAY" = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN "DERIVED_TABLEalias0"."SATURDAY" = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN "DERIVED_TABLEalias0"."SUNDAY" = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN "DERIVED_TABLEalias0"."THURSDAY" = 'Y' THEN 1 ELSE 0 END) + SUM(CASE WHEN "DERIVED_TABLEalias0"."TUESDAY" = 'Y' THEN 1 ELSE 0 END) + "DERIVED_FIELDalias6" FROM "_u_0"."_" LEFT JOIN "_u_0" "_u_0" ON "COURSEalias0"."DEPARTMENT" = "_u_0"."_u_3" AND "COURSEalias0"."NUMBER" = "_u_0"."_u_4" AND "SEMESTER"."SEMESTER" = "_u_0"."_u_5" AND "SEMESTER"."YEAR" = "_u_0"."_u_8" AND "_u_0"."_u_1" = "_u_0"."_u_2" AND "_u_0"."_u_6" = "_u_0"."_u_7") AS "DERIVED_TABLEalias1" | 1.1875 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| A scatter chart shows the correlation between Team_ID and School_ID , and group by attribute All_Games. | SELECT Team_ID, School_ID FROM basketball_match GROUP BY All_Games | SELECT "Team_ID", "School_ID" FROM "basketball_match" GROUP BY "All_Games" | 0.072266 |
CREATE TABLE table_42627 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| How many average plays have points greater than 14, with an against greater than 17? | SELECT AVG("Played") FROM table_42627 WHERE "Points" > '14' AND "Against" > '17' | SELECT AVG("Played") FROM "table_42627" WHERE "Against" > '17' AND "Points" > '14' | 0.080078 |
CREATE TABLE table_33934 ("Year" FLOAT, "Team" CLOB, "Wins" FLOAT, "Points" FLOAT, "Championship Finish" CLOB)
| Which Year is the highest that has a Team of walker racing, and Wins larger than 1? | SELECT MAX("Year") FROM table_33934 WHERE "Team" = 'walker racing' AND "Wins" > '1' | SELECT MAX("Year") FROM "table_33934" WHERE "Team" = 'walker racing' AND "Wins" > '1' | 0.083008 |
CREATE TABLE table_53086 ("Pennant number" CLOB, "Ship" CLOB, "Builder" CLOB, "Laid down" CLOB, "Launched" CLOB, "Commissioned" CLOB)
| Who is the builder of Pennant d03? | SELECT "Builder" FROM table_53086 WHERE "Pennant number" = 'd03' | SELECT "Builder" FROM "table_53086" WHERE "Pennant number" = 'd03' | 0.064453 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the maximum hospital cost that involves a procedure known as a esophagogastroduodenoscopy in 2105? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'esophagogastroduodenoscopy')) AND STRFTIME('%y', cost.chargetime) = '2105' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'esophagogastroduodenoscopy' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2105' GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.646484 |
CREATE TABLE table_1447 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Ground" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many locations were there when sydney was the home team? | SELECT COUNT("Ground") FROM table_1447 WHERE "Home team" = 'Sydney' | SELECT COUNT("Ground") FROM "table_1447" WHERE "Home team" = 'Sydney' | 0.067383 |
CREATE TABLE table_name_59 (year NUMBER, entrant VARCHAR2, points VARCHAR2)
| What year did Elf Team Tyrrell have 34 points? | SELECT AVG(year) FROM table_name_59 WHERE entrant = "elf team tyrrell" AND points = "34" | SELECT AVG("year") FROM "table_name_59" WHERE "34" = "points" AND "elf team tyrrell" = "entrant" | 0.09375 |
CREATE TABLE table_35874 ("Class" CLOB, "Season" CLOB, "Race" FLOAT, "Podiums" FLOAT, "Pole" FLOAT, "FLap" FLOAT, "WChmp" FLOAT)
| What's the WChmp of the race greater than 42 and pole greater than 11? | SELECT COUNT("WChmp") FROM table_35874 WHERE "Race" > '42' AND "Pole" > '11' | SELECT COUNT("WChmp") FROM "table_35874" WHERE "Pole" > '11' AND "Race" > '42' | 0.076172 |
CREATE TABLE table_203_507 (id NUMBER, "#" CLOB, "player" CLOB, "\\u03c3 points" NUMBER, "qual." NUMBER, "final" NUMBER)
| how many players tied for 4th place ? | SELECT COUNT("player") FROM table_203_507 WHERE "#" = 4 | SELECT COUNT("player") FROM "table_203_507" WHERE "#" = 4 | 0.055664 |
CREATE TABLE table_name_16 (regular_season_champion_s_ VARCHAR2, record VARCHAR2, tournament_champion VARCHAR2)
| Which Regular Season Champion(s) has a Record of 9 0, and a Tournament Champion of north carolina? | SELECT regular_season_champion_s_ FROM table_name_16 WHERE record = "9–0" AND tournament_champion = "north carolina" | SELECT "regular_season_champion_s_" FROM "table_name_16" WHERE "9–0" = "record" AND "north carolina" = "tournament_champion" | 0.121094 |
CREATE TABLE table_name_98 (score_in_the_final VARCHAR2, opponent_in_the_final VARCHAR2, championship VARCHAR2)
| What is Score in The Final, when Opponent in The Final is 'John McEnroe', and when Championship is 'Los Angeles , U.S.'? | SELECT score_in_the_final FROM table_name_98 WHERE opponent_in_the_final = "john mcenroe" AND championship = "los angeles , u.s." | SELECT "score_in_the_final" FROM "table_name_98" WHERE "championship" = "los angeles , u.s." AND "john mcenroe" = "opponent_in_the_final" | 0.133789 |
CREATE TABLE table_name_45 (finish NUMBER, start VARCHAR2, year VARCHAR2, manufacturer VARCHAR2)
| What is the smallest finish time for a race where start was less than 3, buick was the manufacturer, and the race was held after 1978? | SELECT MIN(finish) FROM table_name_45 WHERE year > 1978 AND manufacturer = "buick" AND start < 3 | SELECT MIN("finish") FROM "table_name_45" WHERE "buick" = "manufacturer" AND "start" < 3 AND "year" > 1978 | 0.103516 |
CREATE TABLE table_name_99 (total NUMBER, place VARCHAR2, draw VARCHAR2)
| Which average Total has a Place smaller than 2, and a Draw smaller than 5? | SELECT AVG(total) FROM table_name_99 WHERE place < 2 AND draw < 5 | SELECT AVG("total") FROM "table_name_99" WHERE "draw" < 5 AND "place" < 2 | 0.071289 |
CREATE TABLE table_305 ("Player" CLOB, "Position" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB)
| Where was the hometown for the player that attended Shanley High School? | SELECT "Hometown" FROM table_305 WHERE "School" = 'Shanley High School' | SELECT "Hometown" FROM "table_305" WHERE "School" = 'Shanley High School' | 0.071289 |
CREATE TABLE table_27679 ("Position" CLOB, "Number" FLOAT, "Horse" CLOB, "Jockey" CLOB, "Age" FLOAT, "Handicap" CLOB, "SP" CLOB, "Distance" CLOB)
| what is the handicap where the distance is 9 lengths? | SELECT "Handicap" FROM table_27679 WHERE "Distance" = '9 lengths' | SELECT "Handicap" FROM "table_27679" WHERE "Distance" = '9 lengths' | 0.06543 |
CREATE TABLE table_name_98 (top_5 NUMBER, tournament VARCHAR2, top_10 VARCHAR2)
| What is the average Top-5 for the open championship, and a Top-10 smaller than 2? | SELECT AVG(top_5) FROM table_name_98 WHERE tournament = "the open championship" AND top_10 < 2 | SELECT AVG("top_5") FROM "table_name_98" WHERE "the open championship" = "tournament" AND "top_10" < 2 | 0.099609 |
CREATE TABLE table_5315 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB)
| Who was first elected as the result of a retired republican gain in the district of ohio 21? | SELECT "First elected" FROM table_5315 WHERE "Result" = 'retired republican gain' AND "District" = 'ohio 21' | SELECT "First elected" FROM "table_5315" WHERE "District" = 'ohio 21' AND "Result" = 'retired republican gain' | 0.107422 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| What is the relationship between School_ID and All_Games_Percent ? | SELECT School_ID, All_Games_Percent FROM basketball_match | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" | 0.061523 |
CREATE TABLE table_37145 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| What city played on april 29? | SELECT "City" FROM table_37145 WHERE "Date" = 'april 29' | SELECT "City" FROM "table_37145" WHERE "Date" = 'april 29' | 0.056641 |
CREATE TABLE table_5478 ("Rank" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many bronze medals are there when there are fewer than 3 silver medals and 7 medals total? | SELECT "Bronze" FROM table_5478 WHERE "Silver" < '3' AND "Total" = '7' | SELECT "Bronze" FROM "table_5478" WHERE "Silver" < '3' AND "Total" = '7' | 0.070313 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what is the difference between patient 016-18575's sao2 second measured on the current icu visit compared to the first value measured on the current icu visit? | SELECT (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1 OFFSET 1) - (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575') AND patient.unitdischargetime IS NULL) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-18575' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_4"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" FETCH FIRST 1 ROWS ONLY) | 1.15625 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what is average days of hospital stay of patients whose year of death is less than 2174? | SELECT AVG(demographic.days_stay) FROM demographic WHERE demographic.dod_year < "2174.0" | SELECT AVG("demographic"."days_stay") FROM "demographic" WHERE "2174.0" > "demographic"."dod_year" | 0.095703 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Give me the comparison about Team_ID over the All_Games . | SELECT All_Games, Team_ID FROM basketball_match | SELECT "All_Games", "Team_ID" FROM "basketball_match" | 0.051758 |
CREATE TABLE table_26851 ("Governorate" CLOB, "Kurdistan Democratic Party" FLOAT, "Patriotic Union of Kurdistan" FLOAT, "Total Kurdistan List" FLOAT, "Total Governorate Seats" FLOAT)
| Name the most total governorate seats for hewler | SELECT MAX("Total Governorate Seats") FROM table_26851 WHERE "Governorate" = 'Hewler' | SELECT MAX("Total Governorate Seats") FROM "table_26851" WHERE "Governorate" = 'Hewler' | 0.084961 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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)
| tell me what are the top four most common output events until 3 years ago? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE DATETIME(outputevents.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "outputevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "outputevents" WHERE DATETIME("outputevents"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "outputevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.435547 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Fraction of closed first questions as function of account age. | WITH Q1 AS (SELECT MIN(Id) AS Id, OwnerUserId FROM Posts WHERE PostTypeId = 1 GROUP BY OwnerUserId) SELECT ROUND(LOG(10, CAST((JULIANDAY(CreationDate) - JULIANDAY(Users.CreationDate)) AS INT)), 1) AS "log_delta-t", SUM(CASE WHEN NOT ClosedDate IS NULL THEN 1 ELSE 0 END) AS "closed", COUNT(*) AS "total", SUM(CASE WHEN NOT ClosedDate IS NULL THEN 1 ELSE 0 END) * 1e5 / COUNT(*) AS "closed_per_100k" FROM Q1 JOIN Posts ON Q1.Id = Posts.Id JOIN Users ON Q1.OwnerUserId = Users.Id WHERE CAST((JULIANDAY(CreationDate) - JULIANDAY(Users.CreationDate)) AS INT) >= 1 GROUP BY ROUND(LOG(10, CAST((JULIANDAY(CreationDate) - JULIANDAY(Users.CreationDate)) AS INT)), 1) ORDER BY 'log_delta-t' | WITH "Q1" AS (SELECT MIN("Id") AS "Id", "OwnerUserId" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY "OwnerUserId") SELECT ROUND(LOG(10, CAST((JULIANDAY("CreationDate") - JULIANDAY("Users"."CreationDate")) AS NUMBER)), 1) AS "log_delta-t", SUM(CASE WHEN NOT "ClosedDate" IS NULL THEN 1 ELSE 0 END) AS "closed", COUNT(*) AS "total", SUM(CASE WHEN NOT "ClosedDate" IS NULL THEN 1 ELSE 0 END) * 1e5 / NULLIF(COUNT(*), 0) AS "closed_per_100k" FROM "Q1" JOIN "Posts" ON "Posts"."Id" = "Q1"."Id" JOIN "Users" ON "Q1"."OwnerUserId" = "Users"."Id" AND CAST((JULIANDAY("CreationDate") - JULIANDAY("Users"."CreationDate")) AS NUMBER) >= 1 GROUP BY ROUND(LOG(10, CAST((JULIANDAY("CreationDate") - JULIANDAY("Users"."CreationDate")) AS NUMBER)), 1) ORDER BY 'log_delta-t' | 0.739258 |
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 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)
| how many white patients were diagnosed under icd9 code 7660? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "7660" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "7660" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.209961 |
CREATE TABLE product (product_name VARCHAR2)
| List the names of all the distinct product names in alphabetical order? | SELECT DISTINCT product_name FROM product ORDER BY product_name | SELECT DISTINCT "product_name" FROM "product" ORDER BY "product_name" | 0.067383 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 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 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients were given temporary tracheostomy? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT procedures_icd.hadm_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 = 'temporary tracheostomy')) | WITH "_u_1" AS (SELECT "procedures_icd"."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" = 'temporary tracheostomy' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.391602 |
CREATE TABLE table_22669044_7 (high_assists VARCHAR2, date VARCHAR2)
| Name the high assists for december 9 | SELECT high_assists FROM table_22669044_7 WHERE date = "December 9" | SELECT "high_assists" FROM "table_22669044_7" WHERE "December 9" = "date" | 0.071289 |
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 d_icd_diagnoses (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 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what was patient 82132's first output time of the foley today? | SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 82132)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY outputevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 82132 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" = 'foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "outputevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.828125 |
CREATE TABLE table_52767 ("Name" CLOB, "Pennant" CLOB, "Builder" CLOB, "Laid Down" CLOB, "Launched" CLOB, "Commissioned" CLOB)
| what is the pennant when the builder is yarrow, scotstoun? | SELECT "Pennant" FROM table_52767 WHERE "Builder" = 'yarrow, scotstoun' | SELECT "Pennant" FROM "table_52767" WHERE "Builder" = 'yarrow, scotstoun' | 0.071289 |
CREATE TABLE table_17941032_3 (tries_against VARCHAR2, tries_for VARCHAR2)
| Name the tries against when tries for is 30 | SELECT tries_against FROM table_17941032_3 WHERE tries_for = "30" | SELECT "tries_against" FROM "table_17941032_3" WHERE "30" = "tries_for" | 0.069336 |
CREATE TABLE table_29728596_2 (competition VARCHAR2, away_team VARCHAR2)
| What were the competitions when the away team was fk kozara gradiska? | SELECT competition FROM table_29728596_2 WHERE away_team = "FK Kozara Gradiska" | SELECT "competition" FROM "table_29728596_2" WHERE "FK Kozara Gradiska" = "away_team" | 0.083008 |
CREATE TABLE table_name_66 (scored NUMBER, competition VARCHAR2)
| What is the highest scored in the 2010 east asian football championship? | SELECT MAX(scored) FROM table_name_66 WHERE competition = "2010 east asian football championship" | SELECT MAX("scored") FROM "table_name_66" WHERE "2010 east asian football championship" = "competition" | 0.100586 |
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 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 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 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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| i need a return flight from CHICAGO to KANSAS CITY leaving CHICAGO around 7 in the evening next thursday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((flight.departure_time BETWEEN 1930 AND 1830) AND date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 24 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CHICAGO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 1830 AND "flight"."departure_time" >= 1930 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" = 'KANSAS CITY' | 0.771484 |
CREATE TABLE table_12349 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| Who was the visitor when the record was 24 14 2? | SELECT "Visitor" FROM table_12349 WHERE "Record" = '24–14–2' | SELECT "Visitor" FROM "table_12349" WHERE "Record" = '24–14–2' | 0.060547 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, 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 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday, order from low to high by the Y please. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(DEPARTMENT_ID) | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("DEPARTMENT_ID") | 0.205078 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| How many professors are teaching ACABS 591 in Winter 2005 ? | 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 = 'ACABS' AND course.number = 591 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'Winter' 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" = 'Winter' AND "semester"."year" = 2005 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'ACABS' AND "course"."number" = 591 | 0.52832 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| what number of patients are staying in the 181 ward last year? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.wardid = 181 AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."wardid" = 181 AND DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.197266 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE 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)
| Is there a time that Sandeepan Gupta taught BUDDHST 511 ? | SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'BUDDHST' AND course.number = 511 AND instructor.name LIKE '%Sandeepan Gupta%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT COUNT(*) > 0 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 "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Sandeepan Gupta%' WHERE "course"."department" = 'BUDDHST' AND "course"."number" = 511 | 0.40918 |
CREATE TABLE table_7997 ("Date" CLOB, "Season" CLOB, "Playing for" CLOB, "Opponent" CLOB, "Final score" CLOB)
| What was the opponent in the 2008 09 season, with a final score of 2 3 l? | SELECT "Opponent" FROM table_7997 WHERE "Season" = '2008–09' AND "Final score" = '2–3 l' | SELECT "Opponent" FROM "table_7997" WHERE "Final score" = '2–3 l' AND "Season" = '2008–09' | 0.087891 |
CREATE TABLE table_9927 ("Rank" FLOAT, "Title" CLOB, "Studio" CLOB, "Director ( s ) " CLOB, "Worldwide Gross" CLOB)
| Who has the title and rank 14, and a worldwide gross of $202,292,902? | SELECT "Title" FROM table_9927 WHERE "Rank" > '14' AND "Worldwide Gross" = '$202,292,902' | SELECT "Title" FROM "table_9927" WHERE "Rank" > '14' AND "Worldwide Gross" = '$202,292,902' | 0.088867 |
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
| What is the name of the department with the fewest professors? | SELECT T2.dept_name FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.dept_code ORDER BY COUNT(*) LIMIT 1 | SELECT "T2"."dept_name" FROM "professor" "T1" JOIN "department" "T2" ON "T1"."dept_code" = "T2"."dept_code" GROUP BY "T1"."dept_code" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.170898 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Get the average size of a question for a tag grouped by quarter. | SELECT DATEADD(quarter, DATEDIFF(quarter, 0, CreationDate), 0), AVG(LEN(p.Body)) FROM Posts AS p INNER JOIN PostTags AS pt ON pt.TagId = @TagId WHERE pt.PostId = p.Id AND p.PostTypeId = 1 GROUP BY DATEADD(quarter, DATEDIFF(quarter, 0, CreationDate), 0) | SELECT DATEADD("quarter", DATEDIFF(CAST("quarter" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0), AVG(LENGTH("p"."Body")) FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" AND "pt"."TagId" = @TagId WHERE "p"."PostTypeId" = 1 GROUP BY DATEADD("quarter", DATEDIFF(CAST("quarter" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) | 0.342773 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the discharge location and icu stay id of subject id 42820? | SELECT demographic.discharge_location, prescriptions.icustay_id FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "42820" | SELECT "demographic"."discharge_location", "prescriptions"."icustay_id" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "42820" = "demographic"."subject_id" | 0.204102 |
CREATE TABLE table_203_764 (id NUMBER, "name" CLOB, "date" NUMBER, "nation" CLOB, "displacement" CLOB, "speed" CLOB, "number" NUMBER, "notes" CLOB)
| how many tons does the te class displace ? | SELECT "displacement" FROM table_203_764 WHERE "name" = 'te-class' | SELECT "displacement" FROM "table_203_764" WHERE "name" = 'te-class' | 0.066406 |
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 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_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_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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| when did last patient 83358 receive a procedure in the last hospital visit? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 83358 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) ORDER BY procedures_icd.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 83358 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "procedures_icd"."charttime" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "procedures_icd"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.435547 |
CREATE TABLE table_44545 ("Tournament" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB)
| What is 1993, when Tournament is 'Cincinnati'? | SELECT "1993" FROM table_44545 WHERE "Tournament" = 'cincinnati' | SELECT "1993" FROM "table_44545" WHERE "Tournament" = 'cincinnati' | 0.064453 |
CREATE TABLE table_name_66 (to_par VARCHAR2, country VARCHAR2, player VARCHAR2)
| What is the to par of United States' Cristie Kerr? | SELECT to_par FROM table_name_66 WHERE country = "united states" AND player = "cristie kerr" | SELECT "to_par" FROM "table_name_66" WHERE "country" = "united states" AND "cristie kerr" = "player" | 0.097656 |
CREATE TABLE train (train_id NUMBER, name CLOB, time CLOB, service CLOB)
CREATE TABLE train_station (train_id NUMBER, station_id NUMBER)
CREATE TABLE station (station_id NUMBER, name CLOB, annual_entry_exit NUMBER, annual_interchanges NUMBER, total_passengers NUMBER, location CLOB, main_services CLOB, number_of_platforms NUMBER)
| How many train stations are there? | SELECT COUNT(*) FROM station | SELECT COUNT(*) FROM "station" | 0.029297 |
CREATE TABLE table_name_21 (audio VARCHAR2, title VARCHAR2)
| Which audio has a Title of a storm of swords? | SELECT audio FROM table_name_21 WHERE title = "a storm of swords" | SELECT "audio" FROM "table_name_21" WHERE "a storm of swords" = "title" | 0.069336 |
CREATE TABLE table_53241 ("Date" CLOB, "Opponent" CLOB, "Home/Away" CLOB, "Field" CLOB, "Result" CLOB)
| What is the result of the game at Bishop Kearney Field on August 2? | SELECT "Result" FROM table_53241 WHERE "Field" = 'bishop kearney field' AND "Date" = 'august 2' | SELECT "Result" FROM "table_53241" WHERE "Date" = 'august 2' AND "Field" = 'bishop kearney field' | 0.094727 |
CREATE TABLE table_39395 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| What is the average value for ERP W when frequency is more than 100.1? | SELECT AVG("ERP W") FROM table_39395 WHERE "Frequency MHz" > '100.1' | SELECT AVG("ERP W") FROM "table_39395" WHERE "Frequency MHz" > '100.1' | 0.068359 |
CREATE TABLE table_name_17 (winner VARCHAR2, circuit VARCHAR2)
| Who won at the Oran Park Raceway? | SELECT winner FROM table_name_17 WHERE circuit = "oran park raceway" | SELECT "winner" FROM "table_name_17" WHERE "circuit" = "oran park raceway" | 0.072266 |
CREATE TABLE ref_characteristic_types (characteristic_type_code CLOB, characteristic_type_description CLOB)
CREATE TABLE ref_product_categories (product_category_code CLOB, product_category_description CLOB, unit_of_measure CLOB)
CREATE TABLE characteristics (characteristic_id NUMBER, characteristic_type_code CLOB, characteristic_data_type CLOB, characteristic_name CLOB, other_characteristic_details CLOB)
CREATE TABLE products (product_id NUMBER, color_code CLOB, product_category_code CLOB, product_name CLOB, typical_buying_price CLOB, typical_selling_price CLOB, product_description CLOB, other_product_details CLOB)
CREATE TABLE ref_colors (color_code CLOB, color_description CLOB)
CREATE TABLE product_characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value CLOB)
| Count the number of characteristics of the 'flax' product. | 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 WHERE t1.product_name = "flax" | SELECT COUNT(*) FROM "products" "t1" JOIN "product_characteristics" "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "characteristics" "t3" ON "t2"."characteristic_id" = "t3"."characteristic_id" WHERE "flax" = "t1"."product_name" | 0.225586 |
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)
| find out how many patients were discharged from the hospital in 2100. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL AND STRFTIME('%y', admissions.dischtime) = '2100' | SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE NOT "admissions"."dischtime" IS NULL AND STRFTIME('%y', "admissions"."dischtime") = '2100' | 0.15918 |
CREATE TABLE table_10015132_1 (position VARCHAR2, school_club_team VARCHAR2)
| What position did the player from Baylor play? | SELECT position FROM table_10015132_1 WHERE school_club_team = "Baylor" | SELECT "position" FROM "table_10015132_1" WHERE "Baylor" = "school_club_team" | 0.075195 |
CREATE TABLE table_name_88 (moving_from VARCHAR2, transfer_window VARCHAR2, source VARCHAR2)
| Where is the moving from location with a transfer window of summer and the source kerkida.net? | SELECT moving_from FROM table_name_88 WHERE transfer_window = "summer" AND source = "kerkida.net" | SELECT "moving_from" FROM "table_name_88" WHERE "kerkida.net" = "source" AND "summer" = "transfer_window" | 0.102539 |
CREATE TABLE table_204_524 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "place" CLOB)
| what is the lowest tier season to season ? | SELECT MIN("tier") FROM table_204_524 | SELECT MIN("tier") FROM "table_204_524" | 0.038086 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose admission type is urgent and procedure short title is closed bronchial biopsy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Closed bronchial biopsy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Closed bronchial biopsy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.239258 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose diagnoses short title is open wound of face nos and drug route is po/ng? | 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 = "Open wound of face NOS" AND prescriptions.route = "PO/NG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Open wound of face NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "PO/NG" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.299805 |
CREATE TABLE table_18305523_2 (comments VARCHAR2, cover_date VARCHAR2)
| What is the comment on the issue dated 14 March 1987? | SELECT comments FROM table_18305523_2 WHERE cover_date = "14 March 1987" | SELECT "comments" FROM "table_18305523_2" WHERE "14 March 1987" = "cover_date" | 0.076172 |
CREATE TABLE customer (cust_ID VARCHAR2, cust_name VARCHAR2, acc_type CHAR, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_ID NUMBER, state VARCHAR2)
CREATE TABLE bank (branch_ID NUMBER, bname VARCHAR2, no_of_customers NUMBER, city VARCHAR2, state VARCHAR2)
CREATE TABLE loan (loan_ID VARCHAR2, loan_type VARCHAR2, cust_ID VARCHAR2, branch_ID VARCHAR2, amount NUMBER)
| Return a histogram on what are the different names and credit scores of customers who have taken a loan? | SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID | SELECT "cust_name", "credit_score" FROM "customer" "T1" JOIN "loan" "T2" ON "T1"."cust_ID" = "T2"."cust_ID" | 0.104492 |
CREATE TABLE table_name_57 (date VARCHAR2, race_title VARCHAR2)
| When was the Mallala race held? | SELECT date FROM table_name_57 WHERE race_title = "mallala" | SELECT "date" FROM "table_name_57" WHERE "mallala" = "race_title" | 0.063477 |
CREATE TABLE table_name_45 (venue VARCHAR2, date VARCHAR2)
| What is Venue, when Date is '7 September'? | SELECT venue FROM table_name_45 WHERE date = "7 september" | SELECT "venue" FROM "table_name_45" WHERE "7 september" = "date" | 0.0625 |
CREATE TABLE table_4310 ("Time Period" CLOB, "Position" CLOB, "Bureau" CLOB, "Office" CLOB, "District Attorney" CLOB)
| Tell me the DA for bureau chief ada | SELECT "District Attorney" FROM table_4310 WHERE "Position" = 'bureau chief ada' | SELECT "District Attorney" FROM "table_4310" WHERE "Position" = 'bureau chief ada' | 0.080078 |
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 primary disease is coronary artery disease\coronary artery bypass graft; myomectomy/sda and year of death is less than or equal to 2111? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" AND demographic.dod_year <= "2111.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2111.0" >= "demographic"."dod_year" AND "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" = "demographic"."diagnosis" | 0.208984 |
CREATE TABLE table_76685 ("Full name" CLOB, "Alias" CLOB, "Age\\u00b9" FLOAT, "From" CLOB, "Occupation\\u00b2" CLOB, "Specialty" CLOB, "Position/ Eliminated" CLOB)
| What is Position/ Eliminated, when Age is less than 22, and when Full Name is 'Muhammad Fairul Azreen Bin Mohd Zahid'? | SELECT "Position/ Eliminated" FROM table_76685 WHERE "Age\u00b9" < '22' AND "Full name" = 'muhammad fairul azreen bin mohd zahid' | SELECT "Position/ Eliminated" FROM "table_76685" WHERE "Age\u00b9" < '22' AND "Full name" = 'muhammad fairul azreen bin mohd zahid' | 0.12793 |
CREATE TABLE table_203_451 (id NUMBER, "year" NUMBER, "film" CLOB, "role" CLOB, "language" CLOB, "notes" CLOB)
| what was the first role kajal played ? | SELECT "role" FROM table_203_451 ORDER BY "year" LIMIT 1 | SELECT "role" FROM "table_203_451" ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_name_17 (result VARCHAR2, week VARCHAR2, opponent VARCHAR2)
| What was the result of the game against San Francisco 49ers before week 16? | SELECT result FROM table_name_17 WHERE week < 16 AND opponent = "san francisco 49ers" | SELECT "result" FROM "table_name_17" WHERE "opponent" = "san francisco 49ers" AND "week" < 16 | 0.09082 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewTaskStates (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)
| When post my question to maximize the answers?. | WITH AnswersPerQuestion(IdQuestion, NbAnswers, DayInWeek) AS (SELECT p1.Id AS IdQuestion, COUNT(p2.Id) AS NbAnswers, TIME_TO_STR(p1.CreationDate, 'WEEKDA%Y') AS DayInWeek FROM Posts AS p1 JOIN Posts AS p2 ON p1.Id = p2.ParentId WHERE p1.PostTypeId = 1 AND p2.PostTypeId = 2 GROUP BY p1.Id, TIME_TO_STR(p1.CreationDate, 'WEEKDA%Y'), TIME_TO_STR(p1.CreationDate, 'WEEKDA%Y')) SELECT DayInWeek, AVG(CAST(NbAnswers AS FLOAT)) AS avgAnswers FROM AnswersPerQuestion AS a GROUP BY DayInWeek ORDER BY avgAnswers DESC | WITH "AnswersPerQuestion"("IdQuestion", "NbAnswers", "DayInWeek") AS (SELECT MAX(1) AS "_" FROM "Posts" "p1" JOIN "Posts" "p2" ON "p1"."Id" = "p2"."ParentId" AND "p2"."PostTypeId" = 2 WHERE "p1"."PostTypeId" = 1 GROUP BY "p1"."Id", TO_CHAR("p1"."CreationDate", 'WEEKDAYYYY'), TO_CHAR("p1"."CreationDate", 'WEEKDAYYYY')) SELECT "DayInWeek", AVG(CAST("NbAnswers" AS FLOAT)) AS "avgAnswers" FROM "AnswersPerQuestion" "a" GROUP BY "DayInWeek" ORDER BY "avgAnswers" DESC | 0.454102 |
CREATE TABLE table_23207 ("Further Cities" CLOB, "County , Oblast or State" CLOB, "Country" CLOB, "Distance" CLOB, "Direction" CLOB)
| Name the further cities for slovakia and west direction | SELECT "Further Cities" FROM table_23207 WHERE "Country" = 'Slovakia' AND "Direction" = 'West' | SELECT "Further Cities" FROM "table_23207" WHERE "Country" = 'Slovakia' AND "Direction" = 'West' | 0.09375 |
CREATE TABLE table_2112766_1 (broadcast_date VARCHAR2, viewers__in_millions_ VARCHAR2)
| what is all the broadcast date when viewers were 8.4 millions | SELECT COUNT(broadcast_date) FROM table_2112766_1 WHERE viewers__in_millions_ = "8.4" | SELECT COUNT("broadcast_date") FROM "table_2112766_1" WHERE "8.4" = "viewers__in_millions_" | 0.088867 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id by a bar chart, rank by the total number from high to low. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) DESC | SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY AVG("MANAGER_ID") DESC | 0.130859 |
CREATE TABLE table_name_10 (no_of_clubs VARCHAR2, team VARCHAR2, games VARCHAR2)
| What is the number of clubs for Shenyang Ginde when there were more than 182 games? | SELECT COUNT(no_of_clubs) FROM table_name_10 WHERE team = "shenyang ginde" AND games > 182 | SELECT COUNT("no_of_clubs") FROM "table_name_10" WHERE "games" > 182 AND "shenyang ginde" = "team" | 0.095703 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| provide the number of patients whose ethnicity is white and drug name is gemfibrozil. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.drug = "Gemfibrozil" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Gemfibrozil" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.223633 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE 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, a scatter chart shows the correlation between employee_id and salary . | SELECT EMPLOYEE_ID, SALARY FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "EMPLOYEE_ID", "SALARY" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.199219 |
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)
| how many patients are admitted before 2172 and tested with lab item id 50976? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2172" AND lab.itemid = "50976" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50976" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2172" > "demographic"."admityear" | 0.189453 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| What is the total number of patients who stayed at the hospital for more than 9 days and died? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.days_stay > "9" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "9" < "demographic"."days_stay" | 0.140625 |
CREATE TABLE table_9653 ("Season" CLOB, "Premiere" CLOB, "Finale" CLOB, "Episodes" FLOAT, "Timeslot" CLOB, "Rank" CLOB, "Viewers ( in households ) " FLOAT)
| What is the minimum number of views that watched the show when there was more than 22 episodes and the finale was on May 23, 1995? | SELECT MIN("Viewers (in households)") FROM table_9653 WHERE "Finale" = 'may 23, 1995' AND "Episodes" > '22' | SELECT MIN("Viewers (in households)") FROM "table_9653" WHERE "Episodes" > '22' AND "Finale" = 'may 23, 1995' | 0.106445 |
CREATE TABLE table_name_18 (score VARCHAR2, competition VARCHAR2)
| What's the score of the friendly competition? | SELECT score FROM table_name_18 WHERE competition = "friendly" | SELECT "score" FROM "table_name_18" WHERE "competition" = "friendly" | 0.066406 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Top C++ users in Israel. | WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes, u.Reputation AS Reputation FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%israel%' AND TagName = 'c++' GROUP BY u.Id, TagName, u.Reputation) SELECT * FROM USER_BY_TAG ORDER BY UpVotes DESC | WITH "USER_BY_TAG" AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS "Rank", "u"."Id" AS "user_link", COUNT(*) AS "UpVotes", "u"."Reputation" AS "Reputation" FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."ParentId" = "pt"."PostId" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" JOIN "Votes" "v" ON "VoteTypeId" = 2 AND "p"."Id" = "v"."PostId" WHERE "TagName" = 'c++' AND LOWER("Location") LIKE '%israel%' GROUP BY "u"."Id", "TagName", "u"."Reputation") SELECT * FROM "USER_BY_TAG" ORDER BY "UpVotes" DESC | 0.541992 |
CREATE TABLE table_30583 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date ( U.S. ) " CLOB, "Original air date ( International ) " CLOB)
| What date did the episode directed by Victor Cook and Written by Brat Jennett air in the U.S.? | SELECT "Original air date (U.S.)" FROM table_30583 WHERE "Directed by" = 'Victor Cook' AND "Written by" = 'Brat Jennett' | SELECT "Original air date (U.S.)" FROM "table_30583" WHERE "Directed by" = 'Victor Cook' AND "Written by" = 'Brat Jennett' | 0.119141 |
CREATE TABLE table_35147 ("Tournament" CLOB, "1998" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| Which 2011 has a Career Win-Loss of 7 10? | SELECT "2011" FROM table_35147 WHERE "Career Win-Loss" = '7–10' | SELECT "2011" FROM "table_35147" WHERE "Career Win-Loss" = '7–10' | 0.063477 |
CREATE TABLE table_33671 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| WHAT WAS COLLINGWOOD'S LOWEST CROWD NUMBER WHEN PLAYING AS THE AWAY TEAM? | SELECT MIN("Crowd") FROM table_33671 WHERE "Away team" = 'collingwood' | SELECT MIN("Crowd") FROM "table_33671" WHERE "Away team" = 'collingwood' | 0.070313 |
CREATE TABLE table_30058355_5 (rank NUMBER)
| What's the best rank possible? | SELECT MIN(rank) FROM table_30058355_5 | SELECT MIN("rank") FROM "table_30058355_5" | 0.041016 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Greece 1000 with Row Number. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS Place, Id AS "user_link", Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Thess%' OR Location LIKE '%Greece%' OR Location LIKE N'%Gr' OR (Location LIKE N'%Athens%' AND NOT Location LIKE N'%GA%') ORDER BY Reputation DESC LIMIT 1000 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "Place", "Id" AS "user_link", "Reputation", "WebsiteUrl", "Location" FROM "Users" WHERE ("Location" LIKE '%Greece%' OR "Location" LIKE '%Thess%' OR "Location" LIKE N'%Athens%' OR "Location" LIKE N'%Gr') AND ("Location" LIKE '%Greece%' OR "Location" LIKE '%Thess%' OR "Location" LIKE N'%Gr' OR NOT "Location" LIKE N'%GA%') ORDER BY "Reputation" DESC FETCH FIRST 1000 ROWS ONLY | 0.421875 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| indicate the yearly maximum volume of chest tube output: mediastinal anterior that patient 028-39354 has had until 1335 days ago. | SELECT MAX(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-39354')) AND intakeoutput.celllabel = 'chest tube output: mediastinal anterior' AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-1335 day') GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-39354' 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 MAX("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'chest tube output: mediastinal anterior' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-1335 day') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.772461 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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)
| how many hours have it been since the first stay of patient 42473 on this hospital visit in the ward 14? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 42473 AND admissions.dischtime IS NULL)) AND transfers.wardid = 14 ORDER BY transfers.intime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 42473 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") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "transfers"."icustay_id" WHERE "transfers"."wardid" = 14 AND NOT "_u_1"."" IS NULL ORDER BY "transfers"."intime" FETCH FIRST 1 ROWS ONLY | 0.592773 |
CREATE TABLE table_64298 ("World record" CLOB, "Snatch" CLOB, "Sergey Filimonov ( KAZ ) " CLOB, "173kg" CLOB, "Almaty , Kazakhstan" CLOB)
| What is the snatch for the person holding the Olympic record, and 173kg of 172kg? | SELECT "Snatch" FROM table_64298 WHERE "World record" = 'olympic record' AND "173kg" = '172kg' | SELECT "Snatch" FROM "table_64298" WHERE "173kg" = '172kg' AND "World record" = 'olympic record' | 0.09375 |
CREATE TABLE table_77507 ("D 49" CLOB, "D 48" CLOB, "D 47" CLOB, "D 46" CLOB, "D 45" CLOB, "D 44" CLOB, "D 43" CLOB, "D 42" CLOB, "D 41" CLOB, "D 40" CLOB)
| I want the D 40 with D 44 of d 15 | SELECT "D 40" FROM table_77507 WHERE "D 44" = 'd 15' | SELECT "D 40" FROM "table_77507" WHERE "D 44" = 'd 15' | 0.052734 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| Does EEB 453 have any prereqs ? | SELECT DISTINCT COURSE_1.department, COURSE_1.name, COURSE_1.number FROM course AS COURSE_0 INNER JOIN course_prerequisite ON COURSE_0.course_id = course_prerequisite.course_id INNER JOIN course AS COURSE_1 ON COURSE_1.course_id = course_prerequisite.pre_course_id WHERE COURSE_0.department = 'EEB' AND COURSE_0.number = 453 | SELECT DISTINCT "COURSE_1"."department", "COURSE_1"."name", "COURSE_1"."number" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."pre_course_id" WHERE "COURSE_0"."department" = 'EEB' AND "COURSE_0"."number" = 453 | 0.34375 |
CREATE TABLE table_57151 ("Rank" FLOAT, "List" CLOB, "Candidate name" CLOB, "Gender" CLOB, "Religion" CLOB, "Votes" FLOAT)
| Which candidate has more than 279 votes, rank less than 50, is and al-ahd? | SELECT "Candidate name" FROM table_57151 WHERE "Votes" > '279' AND "Rank" < '50' AND "Gender" = '♀' AND "List" = 'al-ahd' | SELECT "Candidate name" FROM "table_57151" WHERE "Gender" = '♀' AND "List" = 'al-ahd' AND "Rank" < '50' AND "Votes" > '279' | 0.120117 |
CREATE TABLE table_19801 ("#" FLOAT, "Episode" CLOB, "Writer" CLOB, "Director" CLOB, "Original air date" CLOB, "Viewing figure" CLOB)
| What writers are associated with a viewing figure of 7.01 million? | SELECT "Writer" FROM table_19801 WHERE "Viewing figure" = '7.01 million' | SELECT "Writer" FROM "table_19801" WHERE "Viewing figure" = '7.01 million' | 0.072266 |
CREATE TABLE table_7557 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the game number when the score was l 90 104 (ot)? | SELECT COUNT("Game") FROM table_7557 WHERE "Score" = 'l 90–104 (ot)' | SELECT COUNT("Game") FROM "table_7557" WHERE "Score" = 'l 90–104 (ot)' | 0.068359 |
CREATE TABLE table_47595 ("Rank" CLOB, "Team" CLOB, "Run 1" CLOB, "Run 2" CLOB, "Run 3" CLOB, "Final" CLOB)
| Which rank has final with 5:18.85? | SELECT "Rank" FROM table_47595 WHERE "Final" = '5:18.85' | SELECT "Rank" FROM "table_47595" WHERE "Final" = '5:18.85' | 0.056641 |
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
| Give me a bar chart for the number of services of each services | SELECT services, COUNT(services) FROM station GROUP BY services | SELECT "services", COUNT("services") FROM "station" GROUP BY "services" | 0.069336 |
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