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CREATE TABLE table_2668401_12 (incumbent VARCHAR2, district VARCHAR2)
| How many incumbents are there in Pennsylvania 5? | SELECT COUNT(incumbent) FROM table_2668401_12 WHERE district = "Pennsylvania 5" | SELECT COUNT("incumbent") FROM "table_2668401_12" WHERE "Pennsylvania 5" = "district" | 0.083008 |
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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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_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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Show me the easiest class available for me to fulfill the Other requirement . | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%Other%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%Other%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%Other%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Other%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.482422 |
CREATE TABLE table_10360656_1 (round NUMBER, player_name VARCHAR2)
| What round was Steve Stonebreaker drafted? | SELECT MAX(round) FROM table_10360656_1 WHERE player_name = "Steve Stonebreaker" | SELECT MAX("round") FROM "table_10360656_1" WHERE "Steve Stonebreaker" = "player_name" | 0.083984 |
CREATE TABLE table_5712 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB, "Points" FLOAT)
| What record has pittsburgh as the visitor, and November 23 as the date? | SELECT "Record" FROM table_5712 WHERE "Visitor" = 'pittsburgh' AND "Date" = 'november 23' | SELECT "Record" FROM "table_5712" WHERE "Date" = 'november 23' AND "Visitor" = 'pittsburgh' | 0.088867 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose diagnoses short title is do not resusctate status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Do not resusctate status" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Do not resusctate status" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.19043 |
CREATE TABLE table_53319 ("Rank" FLOAT, "Airline" CLOB, "Country" CLOB, "Passengers Carried" FLOAT, "Remarks" CLOB, "Alliance" CLOB)
| What are the remarks for the entry ranked greater than 2 with a skyteam (2012) alliance? | SELECT "Remarks" FROM table_53319 WHERE "Rank" > '2' AND "Alliance" = 'skyteam (2012)' | SELECT "Remarks" FROM "table_53319" WHERE "Alliance" = 'skyteam (2012)' AND "Rank" > '2' | 0.085938 |
CREATE TABLE table_name_43 (word__number NUMBER, subframe__number NUMBER)
| What is the total word count with a subframe count greater than 3? | SELECT SUM(word__number) FROM table_name_43 WHERE subframe__number > 3 | SELECT SUM("word__number") FROM "table_name_43" WHERE "subframe__number" > 3 | 0.074219 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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)
| what lab test did patient 006-207754 last receive since 97 months ago? | SELECT lab.labname FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-207754')) AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-97 month') ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-207754' 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 "lab"."labname" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-97 month') AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.604492 |
CREATE TABLE table_name_42 (entered VARCHAR2, known_for VARCHAR2)
| On which day did the person who is known for the only way is essex star enter? | SELECT entered FROM table_name_42 WHERE known_for = "the only way is essex star" | SELECT "entered" FROM "table_name_42" WHERE "known_for" = "the only way is essex star" | 0.083984 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose admission type is urgent and days of hospital stay is greater than 4? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.days_stay > "4" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "4" < "demographic"."days_stay" AND "URGENT" = "demographic"."admission_type" | 0.148438 |
CREATE TABLE table_name_64 (round NUMBER, pick__number VARCHAR2, position VARCHAR2)
| what is the round when the pick # is less than 236 and the position is offensive guard? | SELECT AVG(round) FROM table_name_64 WHERE pick__number < 236 AND position = "offensive guard" | SELECT AVG("round") FROM "table_name_64" WHERE "offensive guard" = "position" AND "pick__number" < 236 | 0.099609 |
CREATE TABLE table_30098144_2 (jockey VARCHAR2, race VARCHAR2)
| List the rider for the doncaster handicap compeition. | SELECT jockey FROM table_30098144_2 WHERE race = "Doncaster Handicap" | SELECT "jockey" FROM "table_30098144_2" WHERE "Doncaster Handicap" = "race" | 0.073242 |
CREATE TABLE table_201_1 (id NUMBER, "from" NUMBER, "to" NUMBER, "name" CLOB, "party" CLOB, "position" CLOB)
| which person had the position of a farmer ? | SELECT "name" FROM table_201_1 WHERE "position" = 'farmer' | SELECT "name" FROM "table_201_1" WHERE "position" = 'farmer' | 0.058594 |
CREATE TABLE table_3383 ("Season" CLOB, "Games started" FLOAT, "20 rebounds" FLOAT, "10 rebounds" FLOAT, "10 offensive rebounds" FLOAT, "Double double" FLOAT, "Rebounding high" FLOAT)
| List all rebounds equal to 10 for Dennis Rodman 's 1991 92 season | SELECT "10 rebounds" FROM table_3383 WHERE "Season" = '1991–92' | SELECT "10 rebounds" FROM "table_3383" WHERE "Season" = '1991–92' | 0.063477 |
CREATE TABLE table_name_23 (attendance VARCHAR2, date VARCHAR2)
| What is the attandance figure on October 7, 1990? | SELECT attendance FROM table_name_23 WHERE date = "october 7, 1990" | SELECT "attendance" FROM "table_name_23" WHERE "date" = "october 7, 1990" | 0.071289 |
CREATE TABLE table_73 ("County" CLOB, "Precincts" FLOAT, "Lunsford" FLOAT, "% Lunsford" CLOB, "McConnell" FLOAT, "% McConnell" CLOB, "Total" CLOB)
| If % mcconnell is 47.17% what is the total number of mcconnell ? | SELECT COUNT("McConnell") FROM table_73 WHERE "% McConnell" = '47.17%' | SELECT COUNT("McConnell") FROM "table_73" WHERE "% McConnell" = '47.17%' | 0.070313 |
CREATE TABLE table_name_84 (to_par VARCHAR2, score VARCHAR2)
| Name the to par for score of 69-73-68-70=280 | SELECT to_par FROM table_name_84 WHERE score = 69 - 73 - 68 - 70 = 280 | SELECT "to_par" FROM "table_name_84" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_54811 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the mean number of laps where Time/retired was a water leak and the grid number was bigger than 12? | SELECT AVG("Laps") FROM table_54811 WHERE "Time/Retired" = 'water leak' AND "Grid" > '12' | SELECT AVG("Laps") FROM "table_54811" WHERE "Grid" > '12' AND "Time/Retired" = 'water leak' | 0.088867 |
CREATE TABLE table_30023 ("Series #" FLOAT, "Episode #" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| What is the name of episode number 12 of the season? | SELECT "Title" FROM table_30023 WHERE "Episode #" = '12' | SELECT "Title" FROM "table_30023" WHERE "Episode #" = '12' | 0.056641 |
CREATE TABLE table_70408 ("School" CLOB, "Team" CLOB, "Division Record" CLOB, "Overall Record" CLOB, "Season Outcome" CLOB)
| What is the overall record of Indian River? | SELECT "Overall Record" FROM table_70408 WHERE "School" = 'indian river' | SELECT "Overall Record" FROM "table_70408" WHERE "School" = 'indian river' | 0.072266 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 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)
| when did patient 80555 receive bicarbonate test the first time during their current hospital encounter? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bicarbonate') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 80555 AND admissions.dischtime IS NULL) ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bicarbonate' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 80555 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.547852 |
CREATE TABLE table_14342592_5 (player VARCHAR2, extra_points VARCHAR2)
| Which players have made a total of 12 extra points? | SELECT player FROM table_14342592_5 WHERE extra_points = 12 | SELECT "player" FROM "table_14342592_5" WHERE "extra_points" = 12 | 0.063477 |
CREATE TABLE table_name_14 (area__km_2__ NUMBER, density__inhabitants_km_2__ VARCHAR2, altitude__mslm_ VARCHAR2)
| What is the average area of the city that has a density less than than 206.2 and an altitude of less than 85? | SELECT AVG(area__km_2__) FROM table_name_14 WHERE density__inhabitants_km_2__ < 206.2 AND altitude__mslm_ < 85 | SELECT AVG("area__km_2__") FROM "table_name_14" WHERE "altitude__mslm_" < 85 AND "density__inhabitants_km_2__" < 206.2 | 0.115234 |
CREATE TABLE table_train_242 ("id" NUMBER, "macroalbuminuria" BOOLEAN, "hyperlipidemia" BOOLEAN, "fasting_serum_triglycerides" NUMBER, "fasting_ldl_cholesterol" NUMBER, "panel_reactive_antibodies" NUMBER, "serum_creatinine" FLOAT, "albumin" FLOAT, "body_mass_index_bmi" FLOAT, "fasting_serum_cholesterol" NUMBER, "NOUSE" FLOAT)
| bmi above 26 ; | SELECT * FROM table_train_242 WHERE body_mass_index_bmi > 26 | SELECT * FROM "table_train_242" WHERE "body_mass_index_bmi" > 26 | 0.0625 |
CREATE TABLE customers (state VARCHAR2)
| Which state has the most customers? | SELECT state FROM customers GROUP BY state ORDER BY COUNT(*) LIMIT 1 | SELECT "state" FROM "customers" GROUP BY "state" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.087891 |
CREATE TABLE table_65834 ("Country" CLOB, "TV Network ( s ) " CLOB, "Series Premiere" CLOB, "Weekly Schedule" CLOB, "Status" CLOB)
| What is the weekly schedule for the network sky italia? | SELECT "Weekly Schedule" FROM table_65834 WHERE "TV Network(s)" = 'sky italia' | SELECT "Weekly Schedule" FROM "table_65834" WHERE "TV Network(s)" = 'sky italia' | 0.078125 |
CREATE TABLE table_21979 ("Rank by average" FLOAT, "Place" FLOAT, "Couple" CLOB, "Total points" FLOAT, "Number of dances" FLOAT, "Average" CLOB)
| What is average for Cody & Julianne? | SELECT "Average" FROM table_21979 WHERE "Couple" = 'Cody & Julianne' | SELECT "Average" FROM "table_21979" WHERE "Couple" = 'Cody & Julianne' | 0.068359 |
CREATE TABLE table_2248784_3 (rank_subcontinent NUMBER, country VARCHAR2)
| Name the least rank subcontinent for bangladesh | SELECT MIN(rank_subcontinent) FROM table_2248784_3 WHERE country = "Bangladesh" | SELECT MIN("rank_subcontinent") FROM "table_2248784_3" WHERE "Bangladesh" = "country" | 0.083008 |
CREATE TABLE table_27756572_6 (high_points VARCHAR2, team VARCHAR2)
| Who and what were the high points player for the game against Detroit? | SELECT high_points FROM table_27756572_6 WHERE team = "Detroit" | SELECT "high_points" FROM "table_27756572_6" WHERE "Detroit" = "team" | 0.067383 |
CREATE TABLE table_41085 ("Airline" CLOB, "Fleet Size" FLOAT, "Notes" CLOB, "IOSA ( IATA ) " CLOB, "EASA ( EU ) " CLOB, "IASA ( FAA ) " CLOB)
| What is the Airline when the notes show aoc 135? | SELECT "Airline" FROM table_41085 WHERE "Notes" = 'aoc 135' | SELECT "Airline" FROM "table_41085" WHERE "Notes" = 'aoc 135' | 0.05957 |
CREATE TABLE table_76609 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| How much Overall has a Name of bob anderson? | SELECT COUNT("Overall") FROM table_76609 WHERE "Name" = 'bob anderson' | SELECT COUNT("Overall") FROM "table_76609" WHERE "Name" = 'bob anderson' | 0.070313 |
CREATE TABLE table_203_467 (id NUMBER, "year" NUMBER, "numer of jamaicans\ granted british\ citizenship" NUMBER, "naturalisation\ by residence" NUMBER, "naturalisation\ by marriage" NUMBER, "registration\ of a minor child" NUMBER, "registration\ by other means" NUMBER)
| in which year were the least amount of jamaicans granted british citizenship ? | SELECT "year" FROM table_203_467 ORDER BY "numer of jamaicans\ngranted british\ncitizenship" LIMIT 1 | SELECT "year" FROM "table_203_467" ORDER BY "numer of jamaicans\ngranted british\ncitizenship" FETCH FIRST 1 ROWS ONLY | 0.115234 |
CREATE TABLE table_204_613 (id NUMBER, "title" CLOB, "year" NUMBER, "peak chart positions\ us" NUMBER, "peak chart positions\ us\ r&b" NUMBER, "peak chart positions\ us\ rap" NUMBER, "album" CLOB)
| tell me the only song to get on the us rap chart . | SELECT "title" FROM table_204_613 WHERE NOT "peak chart positions\nus\nrap" IS NULL | SELECT "title" FROM "table_204_613" WHERE NOT "peak chart positions\nus\nrap" IS NULL | 0.083008 |
CREATE TABLE table_19296 ("Celebrity" CLOB, "Famous for" CLOB, "Entered" CLOB, "Exited" CLOB, "Finished" CLOB)
| What is the finished place where exited is day 11? | SELECT "Finished" FROM table_19296 WHERE "Exited" = 'Day 11' | SELECT "Finished" FROM "table_19296" WHERE "Exited" = 'Day 11' | 0.060547 |
CREATE TABLE table_78047 ("Stage" CLOB, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Trofeo Fast Team" CLOB)
| who was the trofeo fast team in stage 10? | SELECT "Trofeo Fast Team" FROM table_78047 WHERE "Stage" = '10' | SELECT "Trofeo Fast Team" FROM "table_78047" WHERE "Stage" = '10' | 0.063477 |
CREATE TABLE table_name_94 (election_date VARCHAR2, member VARCHAR2)
| What is the election date for the electorate of member charles brown category:articles with hcards? | SELECT election_date FROM table_name_94 WHERE member = "charles brown category:articles with hcards" | SELECT "election_date" FROM "table_name_94" WHERE "charles brown category:articles with hcards" = "member" | 0.103516 |
CREATE TABLE table_35035 ("Game" FLOAT, "December" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
| How many Points have a Game smaller than 37, and a Score of 2 3, and a December of 13? | SELECT COUNT("Points") FROM table_35035 WHERE "Game" < '37' AND "Score" = '2–3' AND "December" = '13' | SELECT COUNT("Points") FROM "table_35035" WHERE "December" = '13' AND "Game" < '37' AND "Score" = '2–3' | 0.100586 |
CREATE TABLE table_27294107_11 (round_of_32 VARCHAR2, athlete VARCHAR2)
| What is the round of 32 for fatih kele ? | SELECT round_of_32 FROM table_27294107_11 WHERE athlete = "Fatih Keleş" | SELECT "round_of_32" FROM "table_27294107_11" WHERE "Fatih Keleş" = "athlete" | 0.075195 |
CREATE TABLE table_dev_43 ("id" NUMBER, "gender" CLOB, "serum_potassium" FLOAT, "systolic_blood_pressure_sbp" NUMBER, "serum_bicarbonate" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "point_of_care_blood_glucose_poc" NUMBER, "diabetic" CLOB, "temperature" FLOAT, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "serum_sodium_concentration" NUMBER, "heart_rate" NUMBER, "insulin_requirement" FLOAT, "serum_creatinine" FLOAT, "electrolyte_imbalances" BOOLEAN, "fasting_glucose" NUMBER, "age" FLOAT, "unstable_vitals_signs" BOOLEAN, "NOUSE" FLOAT)
| one of the following: diagnosed with diabetes type i or diagnosed with diabetes type ii , with an hba1c > 8 % or point _ of _ care blood glucose ( poc ) > 180 at admission, and requiring insulin during this hospitalization. | SELECT * FROM table_dev_43 WHERE (CASE WHEN diabetic = 'i' OR diabetic = 'ii' THEN 1 ELSE 0 END + CASE WHEN hemoglobin_a1c_hba1c > 8 OR point_of_care_blood_glucose_poc > 180 THEN 1 ELSE 0 END + CASE WHEN insulin_requirement = 1 THEN 1 ELSE 0 END) >= 1 | SELECT * FROM "table_dev_43" WHERE (CASE WHEN "diabetic" = 'i' OR "diabetic" = 'ii' THEN 1 ELSE 0 END + CASE WHEN "hemoglobin_a1c_hba1c" > 8 OR "point_of_care_blood_glucose_poc" > 180 THEN 1 ELSE 0 END + CASE WHEN "insulin_requirement" = 1 THEN 1 ELSE 0 END) >= 1 | 0.256836 |
CREATE TABLE table_35468 ("Stage" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB)
| What is the general classification with riccardo ricc as the young rider classification? | SELECT "General classification" FROM table_35468 WHERE "Young rider classification" = 'riccardo riccò' | SELECT "General classification" FROM "table_35468" WHERE "Young rider classification" = 'riccardo riccò' | 0.101563 |
CREATE TABLE table_20391 ("N\\u00b0" FLOAT, "Television service" CLOB, "Country" CLOB, "Language" CLOB, "Content" CLOB, "DAR" CLOB, "HDTV" CLOB, "PPV" CLOB, "Package/Option" CLOB)
| What's the content offered by the package number 204? | SELECT "Content" FROM table_20391 WHERE "N\u00b0" = '204' | SELECT "Content" FROM "table_20391" WHERE "N\u00b0" = '204' | 0.057617 |
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
| List the name and the number of enrolled student for each course in a bar chart, and rank in ascending by the total number. | SELECT course_name, COUNT(*) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name ORDER BY COUNT(*) | SELECT "course_name", COUNT(*) FROM "Courses" "T1" JOIN "Student_Course_Enrolment" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "T1"."course_name" ORDER BY COUNT(*) | 0.167969 |
CREATE TABLE table_name_52 (player VARCHAR2, figures VARCHAR2)
| What is Player, when Figures is source: . last updated: 28 june 2007.? | SELECT player FROM table_name_52 WHERE figures = "source: . last updated: 28 june 2007." | SELECT "player" FROM "table_name_52" WHERE "figures" = "source: . last updated: 28 june 2007." | 0.091797 |
CREATE TABLE table_36796 ("Body" CLOB, "Equatorial diameter" CLOB, "Polar diameter" CLOB, "Equatorial bulge" CLOB, "Flattening ratio" CLOB)
| What is the Equatorial bulge of the Body: Earth? | SELECT "Equatorial bulge" FROM table_36796 WHERE "Body" = 'earth' | SELECT "Equatorial bulge" FROM "table_36796" WHERE "Body" = 'earth' | 0.06543 |
CREATE TABLE table_204_929 (id NUMBER, "location" CLOB, "name of mill and\ grid reference" CLOB, "type" CLOB, "maps" CLOB, "first mention\ or built" CLOB, "last mention\ or demise" NUMBER)
| how man c windmills have there been ? | SELECT COUNT(*) FROM table_204_929 | SELECT COUNT(*) FROM "table_204_929" | 0.035156 |
CREATE TABLE table_name_6 (lane VARCHAR2, nationality VARCHAR2)
| Which lane did the athlete from Zambia swim in? | SELECT lane FROM table_name_6 WHERE nationality = "zambia" | SELECT "lane" FROM "table_name_6" WHERE "nationality" = "zambia" | 0.0625 |
CREATE TABLE table_11589522_3 (original_air_date VARCHAR2, written_by VARCHAR2)
| what's the original air date where written by is iain morris & damon beesley | SELECT original_air_date FROM table_11589522_3 WHERE written_by = "Iain Morris & Damon Beesley" | SELECT "original_air_date" FROM "table_11589522_3" WHERE "Iain Morris & Damon Beesley" = "written_by" | 0.098633 |
CREATE TABLE table_41189 ("City" CLOB, "Comprehension of Danish" CLOB, "Comprehension of Swedish" CLOB, "Comprehension of Norwegian" CLOB, "Average" FLOAT)
| What is the Average of bergen, norway? | SELECT MIN("Average") FROM table_41189 WHERE "City" = 'bergen, norway' | SELECT MIN("Average") FROM "table_41189" WHERE "City" = 'bergen, norway' | 0.070313 |
CREATE TABLE table_45030 ("Driver" CLOB, "Points" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT)
| What is the lowest top 10 with fewer than 4 wins, fewer than 3260 points and more than 0 for top 5? | SELECT MIN("Top 10") FROM table_45030 WHERE "Wins" < '4' AND "Points" < '3260' AND "Top 5" > '0' | SELECT MIN("Top 10") FROM "table_45030" WHERE "Points" < '3260' AND "Top 5" > '0' AND "Wins" < '4' | 0.095703 |
CREATE TABLE table_1341718_43 (district VARCHAR2, incumbent VARCHAR2)
| How many districts does Ed Jones represent? | SELECT COUNT(district) FROM table_1341718_43 WHERE incumbent = "Ed Jones" | SELECT COUNT("district") FROM "table_1341718_43" WHERE "Ed Jones" = "incumbent" | 0.077148 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the correlation between code and revenue , and group by attribute name in a scatter chart. | SELECT T1.Code, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name | SELECT "T1"."Code", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Name" | 0.130859 |
CREATE TABLE table_60816 ("Year" FLOAT, "Grand Slam" CLOB, "Round" CLOB, "Winner" CLOB, "Loser" CLOB)
| In which year is Nerida Gregory listed as the loser? | SELECT AVG("Year") FROM table_60816 WHERE "Loser" = 'nerida gregory' | SELECT AVG("Year") FROM "table_60816" WHERE "Loser" = 'nerida gregory' | 0.068359 |
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)
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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the phone_number by a bar chart, list PHONE_NUMBER in desc order. | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER DESC | SELECT "PHONE_NUMBER", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "PHONE_NUMBER" DESC | 0.195313 |
CREATE TABLE table_204_123 (id NUMBER, "week" NUMBER, "date" CLOB, "kickoff" CLOB, "opponent" CLOB, "results\ final score" CLOB, "results\ team record" CLOB, "game site" CLOB, "attendance" NUMBER)
| what was the teams final record | SELECT "results\nteam record" FROM table_204_123 ORDER BY "week" DESC LIMIT 1 | SELECT "results\nteam record" FROM "table_204_123" ORDER BY "week" DESC FETCH FIRST 1 ROWS ONLY | 0.092773 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is admission type and death status of subject id 22999? | SELECT demographic.admission_type, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "22999" | SELECT "demographic"."admission_type", "demographic"."expire_flag" FROM "demographic" WHERE "22999" = "demographic"."subject_id" | 0.125 |
CREATE TABLE table_2310 ("#" FLOAT, "Date" CLOB, "at/vs." CLOB, "Opponent" CLOB, "Score" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the score for march 29, 1997 | SELECT "Score" FROM table_2310 WHERE "Date" = 'March 29, 1997' | SELECT "Score" FROM "table_2310" WHERE "Date" = 'March 29, 1997' | 0.0625 |
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
| A bar chart that computes the total number of wines with a price is bigger than 100 Next, Bin the year into the weekday interval, and I want to rank by the y axis in desc please. | SELECT Year, COUNT(Year) FROM wine WHERE Price > 100 ORDER BY COUNT(Year) DESC | SELECT "Year", COUNT("Year") FROM "wine" WHERE "Price" > 100 ORDER BY COUNT("Year") DESC | 0.085938 |
CREATE TABLE table_name_44 (years VARCHAR2, player VARCHAR2)
| What years did Alvin Mitchell play? | SELECT years FROM table_name_44 WHERE player = "alvin mitchell" | SELECT "years" FROM "table_name_44" WHERE "alvin mitchell" = "player" | 0.067383 |
CREATE TABLE table_19233 ("Team" CLOB, "Intercontinental" CLOB, "Recopa 1996" CLOB, "Supercopa 1996" CLOB, "CONMEBOL 1996" CLOB, "Copa Libertadores 1997" CLOB)
| what is the racing club where copa libertadores 1997? | SELECT "Copa Libertadores 1997" FROM table_19233 WHERE "Team" = 'Racing Club' | SELECT "Copa Libertadores 1997" FROM "table_19233" WHERE "Team" = 'Racing Club' | 0.077148 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what were the four most frequent drugs prescribed to the encephalopathy - toxic male patients aged 20s during the same month after they had been diagnosed with encephalopathy - toxic until 2 years ago? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'encephalopathy - toxic' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'male' AND patient.age BETWEEN 20 AND 29 AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 29 AND "patient"."age" >= 20 AND "patient"."gender" = 'male' WHERE DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."drugstarttime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'encephalopathy - toxic' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.979492 |
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)
| Create a pie chart showing acc_percent across team name. | SELECT Team_Name, ACC_Percent FROM basketball_match | SELECT "Team_Name", "ACC_Percent" FROM "basketball_match" | 0.055664 |
CREATE TABLE table_name_25 (city VARCHAR2, event VARCHAR2)
| The EPT German Open took place in what city? | SELECT city FROM table_name_25 WHERE event = "ept german open" | SELECT "city" FROM "table_name_25" WHERE "ept german open" = "event" | 0.066406 |
CREATE TABLE table_name_14 (result VARCHAR2, date VARCHAR2)
| What was the result on 29/09/07? | SELECT result FROM table_name_14 WHERE date = "29/09/07" | SELECT "result" FROM "table_name_14" WHERE "29/09/07" = "date" | 0.060547 |
CREATE TABLE table_203_229 (id NUMBER, "pick #" NUMBER, "nfl team" CLOB, "player" CLOB, "position" CLOB, "college" CLOB)
| larry rentz was drafted to the san diego chargers , but what was his college ? | SELECT "college" FROM table_203_229 WHERE "nfl team" = 'san diego chargers' AND "player" = 'larry rentz' | SELECT "college" FROM "table_203_229" WHERE "nfl team" = 'san diego chargers' AND "player" = 'larry rentz' | 0.103516 |
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)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of hire_date and the amount of hire_date bin hire_date by time in a bar chart. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.173828 |
CREATE TABLE table_2266976_1 (date VARCHAR2, average_speed__mph_ VARCHAR2)
| When was an average speed of 81.388 mph recorded? | SELECT date FROM table_2266976_1 WHERE average_speed__mph_ = "81.388" | SELECT "date" FROM "table_2266976_1" WHERE "81.388" = "average_speed__mph_" | 0.073242 |
CREATE TABLE table_name_1 (a_score NUMBER, b_score VARCHAR2, position VARCHAR2)
| What is the A score when the B score is more than 9.15 and the gymnast was in the 2nd position? | SELECT SUM(a_score) FROM table_name_1 WHERE b_score > 9.15 AND position = "2nd" | SELECT SUM("a_score") FROM "table_name_1" WHERE "2nd" = "position" AND "b_score" > 9.15 | 0.084961 |
CREATE TABLE table_21109892_1 (value__int_ NUMBER, value_world_rank VARCHAR2)
| When the value rank is 23, what is the value? | SELECT MIN(value__int_) AS $1000_ FROM table_21109892_1 WHERE value_world_rank = "23" | SELECT MIN("value__int_") AS "$1000_" FROM "table_21109892_1" WHERE "23" = "value_world_rank" | 0.09082 |
CREATE TABLE table_36290 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| Which Score has aN Outcome of winner on 4 november 1990? | SELECT "Score" FROM table_36290 WHERE "Outcome" = 'winner' AND "Date" = '4 november 1990' | SELECT "Score" FROM "table_36290" WHERE "Date" = '4 november 1990' AND "Outcome" = 'winner' | 0.088867 |
CREATE TABLE table_name_41 (away VARCHAR2, club VARCHAR2)
| Which away has apoel as the club? | SELECT away FROM table_name_41 WHERE club = "apoel" | SELECT "away" FROM "table_name_41" WHERE "apoel" = "club" | 0.055664 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| when was patient 15968 first measured a arterial bp [diastolic]? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15968)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15968 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" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.732422 |
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
| return me the number of researchers in Databases area in ' University of Michigan ' . | SELECT COUNT(DISTINCT (author.name)) FROM author, domain, domain_author, organization WHERE domain_author.aid = author.aid AND domain.did = domain_author.did AND domain.name = 'Databases' AND organization.name = 'University of Michigan' AND organization.oid = author.oid | SELECT COUNT(DISTINCT "author"."name") FROM "author" JOIN "domain_author" ON "author"."aid" = "domain_author"."aid" JOIN "organization" ON "author"."oid" = "organization"."oid" AND "organization"."name" = 'University of Michigan' JOIN "domain" ON "domain"."did" = "domain_author"."did" AND "domain"."name" = 'Databases' | 0.311523 |
CREATE TABLE table_name_77 (player VARCHAR2, points VARCHAR2, touchdowns VARCHAR2, extra_points VARCHAR2)
| What Player has less than 10 Touchdowns and 0 Extra points and more than 5 Points? | SELECT player FROM table_name_77 WHERE touchdowns < 10 AND extra_points = 0 AND points > 5 | SELECT "player" FROM "table_name_77" WHERE "extra_points" = 0 AND "points" > 5 AND "touchdowns" < 10 | 0.097656 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 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 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)
| when for the first time in the previous month was patient 73693 prescribed bupropion (sustained release) and amiodarone at the same time? | SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'bupropion (sustained release)' AND admissions.subject_id = 73693 AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'amiodarone' AND admissions.subject_id = 73693 AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate LIMIT 1 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 73693 WHERE "prescriptions"."drug" = 'amiodarone' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')) SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 73693 JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'bupropion (sustained release)' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.888672 |
CREATE TABLE table_29266 ("No. in series" CLOB, "No. in season" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the production code for the episode written by Kat Likkel & Denise Downer? | SELECT "Production code" FROM table_29266 WHERE "Written by" = 'Kat Likkel & Denise Downer' | SELECT "Production code" FROM "table_29266" WHERE "Written by" = 'Kat Likkel & Denise Downer' | 0.09082 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE 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_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| What are all the upper-level electives being offered in the Fall and Winter ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (semester.semester = 'FA' OR semester.semester = 'WN') AND course.department = 'EECS' AND program_course.category LIKE '%ULCS%' AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND ("semester"."semester" = 'FA' OR "semester"."semester" = 'WN') AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' | 0.485352 |
CREATE TABLE table_3893 ("Model - Computer name" CLOB, "CPU type" CLOB, "No. of processors" CLOB, "Period of operation" CLOB, "Maximum peak performance ( Teraflops ) " CLOB, "Use" CLOB)
| Name the cpu type for june 2005 - april 2009 | SELECT "CPU type" FROM table_3893 WHERE "Period of operation" = 'June 2005 - April 2009' | SELECT "CPU type" FROM "table_3893" WHERE "Period of operation" = 'June 2005 - April 2009' | 0.087891 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| Out of the total number of patients treated with syringe (neonatal) *d5w*, calculate the number of those born before 2031. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2031" AND prescriptions.drug = "Syringe (Neonatal) *D5W*" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Syringe (Neonatal) *D5W*" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2031" > "demographic"."dob_year" | 0.234375 |
CREATE TABLE table_18059 ("Country" CLOB, "Population" FLOAT, "Native American" CLOB, "Whites" CLOB, "s Mestizo" CLOB, "es Mulatto" CLOB, "Blacks" CLOB, "s Zambo" CLOB, "Asians" CLOB)
| what's the population with country being chile | SELECT "Population" FROM table_18059 WHERE "Country" = 'Chile' | SELECT "Population" FROM "table_18059" WHERE "Country" = 'Chile' | 0.0625 |
CREATE TABLE table_59536 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Location" CLOB)
| Which event had Edson Claas Vieira as an opponent? | SELECT "Event" FROM table_59536 WHERE "Opponent" = 'edson claas vieira' | SELECT "Event" FROM "table_59536" WHERE "Opponent" = 'edson claas vieira' | 0.071289 |
CREATE TABLE table_name_38 (metropolitan_population__2006__millions NUMBER, metropolitan_area VARCHAR2, gdp__ppp__us$_per_capita VARCHAR2)
| What is the average 2006 metropolitan population of Lima with a GDP per capita over $13,100? | SELECT AVG(metropolitan_population__2006__millions) FROM table_name_38 WHERE metropolitan_area = "lima" AND gdp__ppp__us$_per_capita > 13 OFFSET 100 | SELECT AVG("metropolitan_population__2006__millions") FROM "table_name_38" WHERE "gdp__ppp__us$_per_capita" > 13 AND "lima" = "metropolitan_area" OFFSET 100 ROWS | 0.157227 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE 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 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_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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| Which ULCS requirement courses are available in the Fall or Winter | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id WHERE program_course.category LIKE '%ULCS%' AND semester.semester IN ('FA', 'WN') AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('FA', 'WN') AND "semester"."year" = 2016 | 0.456055 |
CREATE TABLE table_3889 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the location and the attendance for the game on October 12? | SELECT "Location Attendance" FROM table_3889 WHERE "Date" = 'October 12' | SELECT "Location Attendance" FROM "table_3889" WHERE "Date" = 'October 12' | 0.072266 |
CREATE TABLE country (Country_id NUMBER, Country_name CLOB, Capital CLOB, Official_native_language CLOB)
CREATE TABLE player (Player_ID NUMBER, Player CLOB, Years_Played CLOB, Total_WL CLOB, Singles_WL CLOB, Doubles_WL CLOB, Team NUMBER)
CREATE TABLE team (Team_id NUMBER, Name CLOB)
CREATE TABLE match_season (Season FLOAT, Player CLOB, Position CLOB, Country NUMBER, Team NUMBER, Draft_Pick_Number NUMBER, Draft_Class CLOB, College CLOB)
| Show me a bar chart for how many players are from each country?, and show x-axis in ascending order please. | SELECT Country_name, COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name ORDER BY Country_name | SELECT "Country_name", COUNT(*) FROM "country" "T1" JOIN "match_season" "T2" ON "T1"."Country_id" = "T2"."Country" GROUP BY "T1"."Country_name" ORDER BY "Country_name" | 0.163086 |
CREATE TABLE table_79985 ("Coach" CLOB, "Club" CLOB, "Wins" FLOAT, "Loss" FLOAT, "PCT." FLOAT, "PTS." FLOAT)
| What is the sum of points when Bruce Arena has 21 wins? | SELECT SUM("PTS.") FROM table_79985 WHERE "Wins" = '21' AND "Coach" = 'bruce arena' | SELECT SUM("PTS.") FROM "table_79985" WHERE "Coach" = 'bruce arena' AND "Wins" = '21' | 0.083008 |
CREATE TABLE table_name_26 (wins NUMBER, teams VARCHAR2, losses VARCHAR2)
| How many wins have more than 1 loss and a team of chiefs? | SELECT SUM(wins) FROM table_name_26 WHERE teams = "chiefs" AND losses > 1 | SELECT SUM("wins") FROM "table_name_26" WHERE "chiefs" = "teams" AND "losses" > 1 | 0.079102 |
CREATE TABLE table_60175 ("Shooter" CLOB, "Event" CLOB, "Rank points" CLOB, "Score points" CLOB, "Total" CLOB)
| What is Score Points, when Shooter is 'Sandra Kolly ( SUI )'? | SELECT "Score points" FROM table_60175 WHERE "Shooter" = 'sandra kolly ( sui )' | SELECT "Score points" FROM "table_60175" WHERE "Shooter" = 'sandra kolly ( sui )' | 0.079102 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| what is the maximum total cost of a hospital that includes a procedure called a arthrocentesis? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.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 = 'arthrocentesis')) GROUP BY cost.hadm_id) AS t1 | 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" = 'arthrocentesis' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.429688 |
CREATE TABLE table_name_47 (player VARCHAR2, place VARCHAR2, score VARCHAR2)
| Who is the player with a t5 place and a 75-70=145 score? | SELECT player FROM table_name_47 WHERE place = "t5" AND score = 75 - 70 = 145 | SELECT "player" FROM "table_name_47" WHERE "place" = "t5" AND "score" = FALSE | 0.075195 |
CREATE TABLE table_33724 ("Year" FLOAT, "Kit Supplier" CLOB, "Sponsor" CLOB, "Shirt Printing" CLOB, "Notes" CLOB)
| What is the average of all the years when the notes are electronics brand? | SELECT AVG("Year") FROM table_33724 WHERE "Notes" = 'electronics brand' | SELECT AVG("Year") FROM "table_33724" WHERE "Notes" = 'electronics brand' | 0.071289 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| how many patients were prescribed kcl in dextrose-nacl 20-5-0.45 meq/l-%-% iv soln within 2 months after the diagnosis with anemia - anemia of chronic disease? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'anemia - anemia of chronic disease') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'kcl in dextrose-nacl 20-5-0.45 meq/l-%-% iv soln') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "medication" ON "diagnosis"."diagnosistime" < "medication"."drugstarttime" AND "medication"."drugname" = 'kcl in dextrose-nacl 20-5-0.45 meq/l-%-% iv soln' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("medication"."drugstarttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("medication"."drugstarttime") JOIN "patient" "patient_2" ON "medication"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'anemia - anemia of chronic disease' | 0.638672 |
CREATE TABLE table_53256 ("Player" CLOB, "Car." FLOAT, "Yards" CLOB, "Avg." CLOB, "Long" FLOAT)
| Who has greater than 8 Long and a 73 Yards? | SELECT "Player" FROM table_53256 WHERE "Long" > '8' AND "Yards" = '73' | SELECT "Player" FROM "table_53256" WHERE "Long" > '8' AND "Yards" = '73' | 0.070313 |
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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who did not have any job in the past, for employee_id, hire_date, visualize the trend. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.116211 |
CREATE TABLE table_229059_2 (dates VARCHAR2, tournament_location VARCHAR2)
| When was the tournament in Forest Lake Country Club held? | SELECT dates FROM table_229059_2 WHERE tournament_location = "Forest Lake country Club" | SELECT "dates" FROM "table_229059_2" WHERE "Forest Lake country Club" = "tournament_location" | 0.09082 |
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)
| Does someone besides Prof. Bencatel teach Individual Authors ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Individual Authors%' AND NOT instructor.name LIKE '%Bencatel%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "instructor"."name" 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 NOT "instructor"."name" LIKE '%Bencatel%' WHERE "course"."name" LIKE '%Individual Authors%' | 0.461914 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE 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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000. Visualize by pie chart. | SELECT JOB_TITLE, MAX_SALARY - MIN_SALARY FROM jobs WHERE MAX_SALARY BETWEEN 12000 AND 18000 | SELECT "JOB_TITLE", "MAX_SALARY" - "MIN_SALARY" FROM "jobs" WHERE "MAX_SALARY" <= 18000 AND "MAX_SALARY" >= 12000 | 0.110352 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| count the number of times that divalproex (extended release) has been prescribed to patient 70267 since 2105. | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 70267) AND prescriptions.drug = 'divalproex (extended release)' AND STRFTIME('%y', prescriptions.startdate) >= '2105' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 70267 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'divalproex (extended release)' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") >= '2105' | 0.363281 |
CREATE TABLE table_55415 ("Edition" CLOB, "Round" CLOB, "Date" CLOB, "Surface" CLOB, "Opponent" CLOB, "Result" CLOB)
| On July 15, 1984 what surface was used? | SELECT "Surface" FROM table_55415 WHERE "Date" = 'july 15, 1984' | SELECT "Surface" FROM "table_55415" WHERE "Date" = 'july 15, 1984' | 0.064453 |
CREATE TABLE table_67481 ("Name" CLOB, "Discovered" FLOAT, "Museum" CLOB, "Museum city" CLOB, "Discoverer" CLOB, "Formation" CLOB, "Location" CLOB)
| What is the formation that had the specimen discovered before 2001 and is in an Indianapolis, Indiana museum? | SELECT "Formation" FROM table_67481 WHERE "Discovered" < '2001' AND "Museum city" = 'indianapolis, in' | SELECT "Formation" FROM "table_67481" WHERE "Discovered" < '2001' AND "Museum city" = 'indianapolis, in' | 0.101563 |
CREATE TABLE table_5896 ("Game" FLOAT, "February" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| Which Opponent has a February larger than 7 and Record of 37-16-4? | SELECT "Opponent" FROM table_5896 WHERE "February" > '7' AND "Record" = '37-16-4' | SELECT "Opponent" FROM "table_5896" WHERE "February" > '7' AND "Record" = '37-16-4' | 0.081055 |
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