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CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of manager_id over the hire_date bin hire_date by weekday by a bar chart, I want to sort by the Y-axis in asc. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(MANAGER_ID) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("MANAGER_ID") NULLS FIRST | 0.146484 |
CREATE TABLE claims_documents (claim_id DECIMAL, document_type_code TEXT, created_by_staff_id DECIMAL, created_date DECIMAL)
CREATE TABLE claims_processing (claim_processing_id DECIMAL, claim_id DECIMAL, claim_outcome_code TEXT, claim_stage_id DECIMAL, staff_id DECIMAL)
CREATE TABLE claims_processing_stages (claim_stage_id DECIMAL, next_claim_stage_id DECIMAL, claim_status_name TEXT, claim_status_description TEXT)
CREATE TABLE claim_headers (claim_header_id DECIMAL, claim_status_code TEXT, claim_type_code TEXT, policy_id DECIMAL, date_of_claim TIME, date_of_settlement TIME, amount_claimed DECIMAL, amount_piad DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, staff_details TEXT)
CREATE TABLE policies (policy_id DECIMAL, customer_id DECIMAL, policy_type_code TEXT, start_date TIME, end_date TIME)
CREATE TABLE customers (customer_id DECIMAL, customer_details TEXT)
| What is the name of the customer who has made the largest amount of claim in a single claim? | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_claimed = (SELECT MAX(amount_claimed) FROM claim_headers) | SELECT "t3"."customer_details" FROM "claim_headers" AS "t1" JOIN "policies" AS "t2" ON "t1"."policy_id" = "t2"."policy_id" JOIN "customers" AS "t3" ON "t2"."customer_id" = "t3"."customer_id" WHERE "t1"."amount_claimed" = (SELECT MAX("amount_claimed") FROM "claim_headers") | 0.265625 |
CREATE TABLE table_name_3 (week_1 VARCHAR, week_3 VARCHAR)
| Who is week 1 if week 3 is Natasha Budhi? | SELECT week_1 FROM table_name_3 WHERE week_3 = "natasha budhi" | SELECT "week_1" FROM "table_name_3" WHERE "natasha budhi" = "week_3" | 0.066406 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients whose year of death is less than or equal to 2111 and lab test fluid is cerebrospinal fluid (csf)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2111.0" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2111.0" >= "demographic"."dod_year" | 0.209961 |
CREATE TABLE table_79468 ("Event" TEXT, "Class" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT)
| who received gold when silver is wolfgang eibeck austria (aut)? | SELECT "Gold" FROM table_79468 WHERE "Silver" = 'wolfgang eibeck austria (aut)' | SELECT "Gold" FROM "table_79468" WHERE "Silver" = 'wolfgang eibeck austria (aut)' | 0.079102 |
CREATE TABLE table_59588 ("Name" TEXT, "E-mail server" TEXT, "Faxing" TEXT, "Instant messaging" TEXT, "Telephony" TEXT, "Videoconferencing" TEXT, "Web conferencing" TEXT, "Data conferencing" TEXT, "Application sharing" TEXT, "Electronic meeting system" TEXT, "Synchronous conferencing" TEXT)
| What is Videoconferencing, when Synchronous Conferencing is 'No', when Web Conferencing is 'No', and when Faxing is 'Yes'? | SELECT "Videoconferencing" FROM table_59588 WHERE "Synchronous conferencing" = 'no' AND "Web conferencing" = 'no' AND "Faxing" = 'yes' | SELECT "Videoconferencing" FROM "table_59588" WHERE "Faxing" = 'yes' AND "Synchronous conferencing" = 'no' AND "Web conferencing" = 'no' | 0.132813 |
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
| Can I find any PreMajor classes for the Winter term ? | 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_offering.course_id WHERE program_course.category LIKE '%PreMajor%' AND semester.semester = 'Winter' AND semester.year = 2017 | 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_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 | 0.432617 |
CREATE TABLE table_name_47 (general_classification VARCHAR, points_classification VARCHAR)
| What is the General classification for a points classification leader of Bradley Wiggins? | SELECT general_classification FROM table_name_47 WHERE points_classification = "bradley wiggins" | SELECT "general_classification" FROM "table_name_47" WHERE "bradley wiggins" = "points_classification" | 0.099609 |
CREATE TABLE table_5045 ("Year" TEXT, "Title" TEXT, "Role" TEXT, "Producer" TEXT, "Director" TEXT)
| What is Director Erik Matti's Producer? | SELECT "Producer" FROM table_5045 WHERE "Director" = 'erik matti' | SELECT "Producer" FROM "table_5045" WHERE "Director" = 'erik matti' | 0.06543 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| when was the last procedure patient 013-29301 had in this year? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-29301')) AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-29301' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1 | 0.669922 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is the number of patients whose diagnoses short title is single lb in-hosp w cs and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Single lb in-hosp w cs" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Single lb in-hosp w cs" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.277344 |
CREATE TABLE table_203_393 (id DECIMAL, "year" DECIMAL, "film" TEXT, "director" TEXT, "cast" TEXT, "details" TEXT)
| how many films were directed by suresh krishna ? | SELECT COUNT("film") FROM table_203_393 WHERE "director" = 'suresh krishna' | SELECT COUNT("film") FROM "table_203_393" WHERE "director" = 'suresh krishna' | 0.075195 |
CREATE TABLE table_name_43 (score VARCHAR, venue VARCHAR)
| Tell me the score for Venue of tanteen recreation ground, st. george's | SELECT score FROM table_name_43 WHERE venue = "tanteen recreation ground, st. george's" | SELECT "score" FROM "table_name_43" WHERE "tanteen recreation ground, st. george's" = "venue" | 0.09082 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is the number of discharged patients at disc-tran cancer/chldrn h with procedure icd9 code 8841? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND procedures.icd9_code = "8841" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8841" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DISC-TRAN CANCER/CHLDRN H" = "demographic"."discharge_location" | 0.241211 |
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
| Which classes are educated by Dr. Linda Mokdad ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Linda Mokdad%' 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" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" AS "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 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 '%Linda Mokdad%' | 0.563477 |
CREATE TABLE table_name_35 (tournament VARCHAR)
| What shows for 2010 when 2011 is 1r at the US Open tournament? | SELECT 2010 FROM table_name_35 WHERE 2011 = "1r" AND tournament = "us open" | SELECT 2010 FROM "table_name_35" WHERE "1r" = 2011 AND "tournament" = "us open" | 0.077148 |
CREATE TABLE table_75191 ("Surname" TEXT, "First" TEXT, "D.O.B." TEXT, "Uni#" FLOAT, "Bats" TEXT, "Throws" TEXT, "Position" TEXT)
| Which Uni # has a Surname of ough? | SELECT "Uni#" FROM table_75191 WHERE "Surname" = 'ough' | SELECT "Uni#" FROM "table_75191" WHERE "Surname" = 'ough' | 0.055664 |
CREATE TABLE table_11808 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Round" TEXT, "Time" TEXT, "Location" TEXT)
| What was the method used when the opponent was Tyson Griffin? | SELECT "Method" FROM table_11808 WHERE "Opponent" = 'tyson griffin' | SELECT "Method" FROM "table_11808" WHERE "Opponent" = 'tyson griffin' | 0.067383 |
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
| How many rooms in each building have a capacity of over 50 Visualize by bar chart, and list in desc by the x axis. | SELECT building, COUNT(*) FROM classroom WHERE capacity > 50 GROUP BY building ORDER BY building DESC | SELECT "building", COUNT(*) FROM "classroom" WHERE "capacity" > 50 GROUP BY "building" ORDER BY "building" DESC NULLS LAST | 0.119141 |
CREATE TABLE technician (Starting_Year VARCHAR, Age VARCHAR)
| What is the starting year of the oldest technicians? | SELECT Starting_Year FROM technician ORDER BY Age DESC LIMIT 1 | SELECT "Starting_Year" FROM "technician" ORDER BY "Age" DESC NULLS LAST LIMIT 1 | 0.077148 |
CREATE TABLE table_1335 ("Week #" TEXT, "Theme" TEXT, "Song choice" TEXT, "Original artist" TEXT, "Order #" TEXT, "Result" TEXT)
| What theme name has the original artist of Dolly Parton? | SELECT "Theme" FROM table_1335 WHERE "Original artist" = 'Dolly Parton' | SELECT "Theme" FROM "table_1335" WHERE "Original artist" = 'Dolly Parton' | 0.071289 |
CREATE TABLE table_12774 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| Which Draws has Goals against smaller than 47, and a Position smaller than 13, and Goals for of 52? | SELECT MIN("Draws") FROM table_12774 WHERE "Goals against" < '47' AND "Position" < '13' AND "Goals for" = '52' | SELECT MIN("Draws") FROM "table_12774" WHERE "Goals against" < '47' AND "Goals for" = '52' AND "Position" < '13' | 0.109375 |
CREATE TABLE table_203_113 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| which country was in the top of the 11 rank group ? | SELECT "nation" FROM table_203_113 WHERE "rank" = 11 LIMIT 1 | SELECT "nation" FROM "table_203_113" WHERE "rank" = 11 LIMIT 1 | 0.060547 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| count the number of times that patient 32154 since 11/19/2101 had a urine out foley output. | SELECT COUNT(*) 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 = 32154)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m-%d', outputevents.charttime) >= '2101-11-19' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 32154 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_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" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT COUNT(*) FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") >= '2101-11-19' | 0.730469 |
CREATE TABLE table_name_81 (years_runner_up VARCHAR, team VARCHAR)
| What year(s) was Duisburg runner-up? | SELECT years_runner_up FROM table_name_81 WHERE team = "duisburg" | SELECT "years_runner_up" FROM "table_name_81" WHERE "duisburg" = "team" | 0.069336 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For those employees who did not have any job in the past, return a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by time, and could you sort total number from low to high order? | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(MANAGER_ID) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY AVG("MANAGER_ID") NULLS FIRST | 0.158203 |
CREATE TABLE Ref_Service_Types (Service_Type_Description VARCHAR, Service_Type_Code VARCHAR)
CREATE TABLE Services (Service_Type_Code VARCHAR, Product_Name VARCHAR)
| What is the description of the service type which offers both the photo product and the film product? | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'film' | SELECT "T1"."Service_Type_Description" FROM "Ref_Service_Types" AS "T1" JOIN "Services" AS "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Name" = 'photo' INTERSECT SELECT "T1"."Service_Type_Description" FROM "Ref_Service_Types" AS "T1" JOIN "Services" AS "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Name" = 'film' | 0.369141 |
CREATE TABLE table_4206 ("Country / region" TEXT, "Channel" TEXT, "Series premiere" TEXT, "Title in country" TEXT, "Source ( s ) " TEXT, "Airing?" TEXT)
| What is airing for the series premiere of june 7, 2012? | SELECT "Airing?" FROM table_4206 WHERE "Series premiere" = 'June 7, 2012' | SELECT "Airing?" FROM "table_4206" WHERE "Series premiere" = 'June 7, 2012' | 0.073242 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| 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, visualize a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, show X-axis in desc order. | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("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) GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.25 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and department_id , and visualize them by a bar chart, and I want to list in descending by the X please. | SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC | SELECT "LAST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "LAST_NAME" DESC NULLS LAST | 0.207031 |
CREATE TABLE companies (id DECIMAL, name TEXT, headquarters TEXT, industry TEXT, sales_billion DECIMAL, profits_billion DECIMAL, assets_billion DECIMAL, market_value_billion TEXT)
CREATE TABLE office_locations (building_id DECIMAL, company_id DECIMAL, move_in_year DECIMAL)
CREATE TABLE buildings (id DECIMAL, name TEXT, city TEXT, height DECIMAL, stories DECIMAL, status TEXT)
| Which industry has the most companies? | SELECT industry FROM companies GROUP BY industry ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "industry" FROM "companies" GROUP BY "industry" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.09375 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| how many patients have been given contrast aortogram two times until 2104? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'contrast aortogram') AND STRFTIME('%y', procedures_icd.charttime) <= '2104' GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 = 2 | WITH "t1" AS (SELECT "admissions"."subject_id", COUNT(*) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'contrast aortogram' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104' GROUP BY "admissions"."subject_id") SELECT COUNT(DISTINCT "t1"."subject_id") FROM "t1" AS "t1" WHERE "t1"."c1" = 2 | 0.472656 |
CREATE TABLE gas_station (station_id DECIMAL, open_year DECIMAL, location TEXT, manager_name TEXT, vice_manager_name TEXT, representative_name TEXT)
CREATE TABLE station_company (station_id DECIMAL, company_id DECIMAL, rank_of_the_year DECIMAL)
CREATE TABLE company (company_id DECIMAL, rank DECIMAL, company TEXT, headquarters TEXT, main_industry TEXT, sales_billion DECIMAL, profits_billion DECIMAL, assets_billion DECIMAL, market_value DECIMAL)
| Show headquarters with at least two companies in the banking industry. | SELECT headquarters FROM company WHERE main_industry = 'Banking' GROUP BY headquarters HAVING COUNT(*) >= 2 | SELECT "headquarters" FROM "company" WHERE "main_industry" = 'Banking' GROUP BY "headquarters" HAVING COUNT(*) >= 2 | 0.112305 |
CREATE TABLE table_49379 ("Result" TEXT, "Race" TEXT, "Distance" TEXT, "Weight" FLOAT, "Winner or 2nd" TEXT, "Pos'n" TEXT)
| What is the result of the sajc king's cup race, which has a weight heavier than 8.1? | SELECT "Result" FROM table_49379 WHERE "Weight" > '8.1' AND "Race" = 'sajc king''s cup' | SELECT "Result" FROM "table_49379" WHERE "Race" = 'sajc king\'s cup' AND "Weight" > '8.1' | 0.086914 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| in 2103, what are the four most commonly received procedures for patients 30s? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) AND STRFTIME('%y', procedures_icd.charttime) = '2103' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 39 AND "admissions"."age" >= 30 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") = '2103' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.712891 |
CREATE TABLE table_name_56 (ergative VARCHAR, nominative VARCHAR)
| With a nominative of chven-i what is the ergative? | SELECT ergative FROM table_name_56 WHERE nominative = "chven-i" | SELECT "ergative" FROM "table_name_56" WHERE "chven-i" = "nominative" | 0.067383 |
CREATE TABLE workshop (workshop_id DECIMAL, date TEXT, venue TEXT, name TEXT)
CREATE TABLE acceptance (submission_id DECIMAL, workshop_id DECIMAL, result TEXT)
CREATE TABLE submission (submission_id DECIMAL, scores DECIMAL, author TEXT, college TEXT)
| Find the author who achieved the highest score in a submission. | SELECT author FROM submission ORDER BY scores DESC LIMIT 1 | SELECT "author" FROM "submission" ORDER BY "scores" DESC NULLS LAST LIMIT 1 | 0.073242 |
CREATE TABLE table_name_52 (wins INT, draws INT)
| How many wins are there when the draws are less than 0? | SELECT SUM(wins) FROM table_name_52 WHERE draws < 0 | SELECT SUM("wins") FROM "table_name_52" WHERE "draws" < 0 | 0.055664 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| compared to last measured on the first hospital visit patient 19059's po2 is greater than the value first measured on the first hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19059 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'po2') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19059 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'po2') ORDER BY labevents.charttime LIMIT 1) | WITH "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'po2' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19059 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19059 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" NULLS FIRST LIMIT 1) | 0.920898 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients have been diagnosed with unspecified fetal and neonatal jaundice and were given the drug tamsulosin? | 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 = "Unspecified fetal and neonatal jaundice" AND prescriptions.drug = "Tamsulosin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified fetal and neonatal jaundice" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "Tamsulosin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.319336 |
CREATE TABLE table_name_38 (mascot VARCHAR, previous_conference VARCHAR, location VARCHAR)
| Which Mascot has a Previous conference of independents, and a Location of akron? | SELECT mascot FROM table_name_38 WHERE previous_conference = "independents" AND location = "akron" | SELECT "mascot" FROM "table_name_38" WHERE "akron" = "location" AND "independents" = "previous_conference" | 0.103516 |
CREATE TABLE table_name_7 (date VARCHAR, runner_s__up VARCHAR)
| On what date was Nick Price the runner-up? | SELECT date FROM table_name_7 WHERE runner_s__up = "nick price" | SELECT "date" FROM "table_name_7" WHERE "nick price" = "runner_s__up" | 0.067383 |
CREATE TABLE table_256286_23 (yes_votes VARCHAR, _percentage_yes VARCHAR)
| How many yes votes did the measure that got 60.39% yes votes get? | SELECT yes_votes FROM table_256286_23 WHERE _percentage_yes = "60.39%" | SELECT "yes_votes" FROM "table_256286_23" WHERE "60.39%" = "_percentage_yes" | 0.074219 |
CREATE TABLE table_50803 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
| What is the attendance for No. 15 tie? | SELECT "Attendance" FROM table_50803 WHERE "Tie no" = '15' | SELECT "Attendance" FROM "table_50803" WHERE "Tie no" = '15' | 0.058594 |
CREATE TABLE table_49424 ("Player" TEXT, "Team" TEXT, "Matches" FLOAT, "Overs" FLOAT, "Wickets" FLOAT, "Economy Rate" FLOAT, "Average" FLOAT, "Strike Rate" FLOAT, "Best Bowling" TEXT)
| How many matches were played that resulted in less than 59.1 overs and a 6.78 Economy rate? | SELECT SUM("Matches") FROM table_49424 WHERE "Overs" < '59.1' AND "Economy Rate" > '6.78' | SELECT SUM("Matches") FROM "table_49424" WHERE "Economy Rate" > '6.78' AND "Overs" < '59.1' | 0.088867 |
CREATE TABLE table_name_84 (date VARCHAR, surface VARCHAR, location VARCHAR)
| Name the date for clay surface and location of santos, brazil | SELECT date FROM table_name_84 WHERE surface = "clay" AND location = "santos, brazil" | SELECT "date" FROM "table_name_84" WHERE "clay" = "surface" AND "location" = "santos, brazil" | 0.09082 |
CREATE TABLE locations (country_id VARCHAR)
| display the country ID and number of cities for each country. | SELECT country_id, COUNT(*) FROM locations GROUP BY country_id | SELECT "country_id", COUNT(*) FROM "locations" GROUP BY "country_id" | 0.066406 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| calculate the number of patients who had had a cd3 cells, percent lab test in this year. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'cd3 cells, percent') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'cd3 cells, percent' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.556641 |
CREATE TABLE table_name_81 (took_office VARCHAR, district VARCHAR, party VARCHAR, home_town VARCHAR)
| Which Took Office has a Party of democratic, a Home Town of victoria, and a District smaller than 18? | SELECT COUNT(took_office) FROM table_name_81 WHERE party = "democratic" AND home_town = "victoria" AND district < 18 | SELECT COUNT("took_office") FROM "table_name_81" WHERE "democratic" = "party" AND "district" < 18 AND "home_town" = "victoria" | 0.123047 |
CREATE TABLE table_name_53 (pos VARCHAR, height VARCHAR)
| What is the position of the player with a height of m (ft 6in)? | SELECT pos FROM table_name_53 WHERE height = "m (ft 6in)" | SELECT "pos" FROM "table_name_53" WHERE "height" = "m (ft 6in)" | 0.061523 |
CREATE TABLE table_26454128_9 (rank INT, distance__metres_ VARCHAR)
| What is the highest rank where the distance is 52.73? | SELECT MAX(rank) FROM table_26454128_9 WHERE distance__metres_ = "52.73" | SELECT MAX("rank") FROM "table_26454128_9" WHERE "52.73" = "distance__metres_" | 0.076172 |
CREATE TABLE table_name_80 (representative VARCHAR, presentation_of_credentials VARCHAR)
| What's the Representative listed that has a Presentation of Credentials of August 25, 1851? | SELECT representative FROM table_name_80 WHERE presentation_of_credentials = "august 25, 1851" | SELECT "representative" FROM "table_name_80" WHERE "august 25, 1851" = "presentation_of_credentials" | 0.097656 |
CREATE TABLE table_2610582_3 (power_kw__erp_ VARCHAR, ch__number VARCHAR, callsign VARCHAR)
| What is the power, in kW, of channel TV-23, callsign DYCG-TV? | SELECT power_kw__erp_ FROM table_2610582_3 WHERE ch__number = "TV-23" AND callsign = "DYCG-TV" | SELECT "power_kw__erp_" FROM "table_2610582_3" WHERE "DYCG-TV" = "callsign" AND "TV-23" = "ch__number" | 0.099609 |
CREATE TABLE table_58947 ("Binary" FLOAT, "Octal" FLOAT, "Decimal" FLOAT, "Hexadecimal" FLOAT, "Glyph" FLOAT)
| What is the lowest octal with a 30 hexadecimal and less than 0 glyphs? | SELECT MIN("Octal") FROM table_58947 WHERE "Hexadecimal" = '30' AND "Glyph" < '0' | SELECT MIN("Octal") FROM "table_58947" WHERE "Glyph" < '0' AND "Hexadecimal" = '30' | 0.081055 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose age is less than 81 and diagnoses long title is unspecified septicemia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "81" AND diagnoses.long_title = "Unspecified septicemia" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified septicemia" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "81" > "demographic"."age" | 0.219727 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
| Short ID questions to review. | SELECT Score, LENGTH(Body) AS BodyLength, CreationDate, Id AS "post_link", p.Id, ViewCount, LastEditDate FROM Posts AS p WHERE Tags LIKE '%identify%' AND PostTypeId = 1 AND AcceptedAnswerId IS NULL AND ClosedDate IS NULL ORDER BY LENGTH(Body), CreationDate | SELECT "Score", LENGTH("Body") AS "BodyLength", "CreationDate", "Id" AS "post_link", "p"."Id", "ViewCount", "LastEditDate" FROM "Posts" AS "p" WHERE "AcceptedAnswerId" IS NULL AND "ClosedDate" IS NULL AND "PostTypeId" = 1 AND "Tags" LIKE '%identify%' ORDER BY LENGTH("Body") NULLS FIRST, "CreationDate" NULLS FIRST | 0.306641 |
CREATE TABLE table_18936 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Director" TEXT, "Result" TEXT)
| Who is the director of the film Gie? | SELECT "Director" FROM table_18936 WHERE "Film title used in nomination" = 'Gie' | SELECT "Director" FROM "table_18936" WHERE "Film title used in nomination" = 'Gie' | 0.080078 |
CREATE TABLE table_name_22 (date VARCHAR, record VARCHAR)
| what date has the record of 77-62? | SELECT date FROM table_name_22 WHERE record = "77-62" | SELECT "date" FROM "table_name_22" WHERE "77-62" = "record" | 0.057617 |
CREATE TABLE table_name_15 (crowd INT, away_team VARCHAR)
| What is the crowd size when the away team was South Melbourne? | SELECT SUM(crowd) FROM table_name_15 WHERE away_team = "south melbourne" | SELECT SUM("crowd") FROM "table_name_15" WHERE "away_team" = "south melbourne" | 0.076172 |
CREATE TABLE table_74596 ("Year" FLOAT, "Race name" TEXT, "Rider status" TEXT, "Winner" TEXT, "Team/Country" TEXT)
| What ream played later than 1958 in the kellogg's tour? | SELECT "Team/Country" FROM table_74596 WHERE "Year" > '1958' AND "Race name" = 'kellogg''s tour' | SELECT "Team/Country" FROM "table_74596" WHERE "Race name" = 'kellogg\'s tour' AND "Year" > '1958' | 0.095703 |
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
| Are there any courses that would be useful for me to take before I take MATH 471 ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'MATH' AND number = 471 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'MATH' AND "number" = 471 | 0.09668 |
CREATE TABLE table_203_450 (id DECIMAL, "team" TEXT, "outgoing manager" TEXT, "manner of departure" TEXT, "date of vacancy" TEXT, "replaced by" TEXT, "date of appointment" TEXT, "position in table" TEXT)
| which outgoing manager was appointed the last ? | SELECT "outgoing manager" FROM table_203_450 ORDER BY "date of appointment" DESC LIMIT 1 | SELECT "outgoing manager" FROM "table_203_450" ORDER BY "date of appointment" DESC NULLS LAST LIMIT 1 | 0.098633 |
CREATE TABLE table_48142 ("Rank" FLOAT, "Year" FLOAT, "Ascent Time" TEXT, "Speed" TEXT, "Rider" TEXT)
| Who is the rider that has a rank of less than 8 in the year 2000, and whose speed was 18.32 km/h? | SELECT "Rider" FROM table_48142 WHERE "Rank" < '8' AND "Year" = '2000' AND "Speed" = '18.32 km/h' | SELECT "Rider" FROM "table_48142" WHERE "Rank" < '8' AND "Speed" = '18.32 km/h' AND "Year" = '2000' | 0.09668 |
CREATE TABLE table_33750 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is melbourne's home team score? | SELECT "Home team score" FROM table_33750 WHERE "Home team" = 'melbourne' | SELECT "Home team score" FROM "table_33750" WHERE "Home team" = 'melbourne' | 0.073242 |
CREATE TABLE table_14047 ("Polling firm" TEXT, "Dates" TEXT, "Prog. Cons." TEXT, "New Democratic" TEXT, "Liberal" TEXT)
| Which firm conducted a poll in August 2006? | SELECT "Polling firm" FROM table_14047 WHERE "Dates" = 'august 2006' | SELECT "Polling firm" FROM "table_14047" WHERE "Dates" = 'august 2006' | 0.068359 |
CREATE TABLE film (Film_ID INT, Title TEXT, Studio TEXT, Director TEXT, Gross_in_dollar INT)
CREATE TABLE film_market_estimation (Estimation_ID INT, Low_Estimate FLOAT, High_Estimate FLOAT, Film_ID INT, Type TEXT, Market_ID INT, Year INT)
CREATE TABLE market (Market_ID INT, Country TEXT, Number_cities INT)
| List the studios of each film and the number of films produced by that studio Show bar chart, could you list by the X from low to high? | SELECT Studio, COUNT(*) FROM film GROUP BY Studio ORDER BY Studio | SELECT "Studio", COUNT(*) FROM "film" GROUP BY "Studio" ORDER BY "Studio" NULLS FIRST | 0.083008 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| did patient 004-49903 suffer from any type of allergy until 2103? | SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-49903')) AND STRFTIME('%y', allergy.allergytime) <= '2103' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-49903' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "allergy" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "allergy"."allergytime") <= '2103' | 0.533203 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| what's the average cost of a hospital that involves a procedure called removal of thoracostomy tube until 1 year ago? | SELECT AVG(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 = 'removal of thoracostomy tube')) AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'removal of thoracostomy tube' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_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" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" AS "t1" | 0.680664 |
CREATE TABLE table_name_24 (result VARCHAR, attendance VARCHAR)
| What was the score for the game that attendance was 70,721? | SELECT result FROM table_name_24 WHERE attendance = "70,721" | SELECT "result" FROM "table_name_24" WHERE "70,721" = "attendance" | 0.064453 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
| what flights leave BOSTON and arrive in PHILADELPHIA before 700 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.arrival_time <= 700 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."arrival_time" <= 700 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.532227 |
CREATE TABLE table_15584067_4 (written_by VARCHAR, no_in_series VARCHAR)
| Name who wrote number 47 | SELECT written_by FROM table_15584067_4 WHERE no_in_series = 47 | SELECT "written_by" FROM "table_15584067_4" WHERE "no_in_series" = 47 | 0.067383 |
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, account_name TEXT, other_account_details TEXT)
CREATE TABLE customers_cards (card_id DECIMAL, customer_id DECIMAL, card_type_code TEXT, card_number TEXT, date_valid_from TIME, date_valid_to TIME, other_card_details TEXT)
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_last_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT, other_customer_details TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, previous_transaction_id DECIMAL, account_id DECIMAL, card_id DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
| How many different card types are there? | SELECT COUNT(DISTINCT card_type_code) FROM customers_cards | SELECT COUNT(DISTINCT "card_type_code") FROM "customers_cards" | 0.060547 |
CREATE TABLE table_10399 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| How many Laps does Eddie Cheever have? | SELECT "Laps" FROM table_10399 WHERE "Driver" = 'eddie cheever' | SELECT "Laps" FROM "table_10399" WHERE "Driver" = 'eddie cheever' | 0.063477 |
CREATE TABLE table_51397 ("Player" TEXT, "Position" TEXT, "Date of Birth ( Age ) " TEXT, "Caps" FLOAT, "Club/province" TEXT)
| What is the total number of Caps Aca Ratuva, a flanker, has? | SELECT COUNT("Caps") FROM table_51397 WHERE "Position" = 'flanker' AND "Player" = 'aca ratuva' | SELECT COUNT("Caps") FROM "table_51397" WHERE "Player" = 'aca ratuva' AND "Position" = 'flanker' | 0.09375 |
CREATE TABLE table_5217 ("Variant id" TEXT, "5pars_m_singleUTR splice" TEXT, "Coding" TEXT, "3pars_m_singleUTR sequence" TEXT, "GenBank id" TEXT)
| What was the 3 UTR sequence when Coding was 6a 3 and the GenBank id is nm_001093770.2? | SELECT "3\u2019UTR sequence" FROM table_5217 WHERE "Coding" = '6a 3' AND "GenBank id" = 'nm_001093770.2' | SELECT "3\u2019UTR sequence" FROM "table_5217" WHERE "Coding" = '6a 3' AND "GenBank id" = 'nm_001093770.2' | 0.103516 |
CREATE TABLE table_15604 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| What was the loss of the game against the Yankees that was attended by 27,652? | SELECT "Loss" FROM table_15604 WHERE "Opponent" = 'yankees' AND "Attendance" = '27,652' | SELECT "Loss" FROM "table_15604" WHERE "Attendance" = '27,652' AND "Opponent" = 'yankees' | 0.086914 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| give me the number of patients whose procedure icd9 code is 4601 and drug route is iv bolus? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "4601" AND prescriptions.route = "IV BOLUS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IV BOLUS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "4601" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.286133 |
CREATE TABLE table_5122 ("Date" TEXT, "City" TEXT, "Opponent" TEXT, "Results\\u00b9" TEXT, "Type of game" TEXT)
| What opponent has euro '84 qualifying as the type and split as the city? | SELECT "Opponent" FROM table_5122 WHERE "Type of game" = 'euro ''84 qualifying' AND "City" = 'split' | SELECT "Opponent" FROM "table_5122" WHERE "City" = 'split' AND "Type of game" = 'euro \'84 qualifying' | 0.099609 |
CREATE TABLE documents_with_expenses (document_id DECIMAL, budget_type_code TEXT, document_details TEXT)
CREATE TABLE accounts (account_id DECIMAL, statement_id DECIMAL, account_details TEXT)
CREATE TABLE documents (document_id DECIMAL, document_type_code TEXT, project_id DECIMAL, document_date TIME, document_name TEXT, document_description TEXT, other_details TEXT)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_name TEXT, document_type_description TEXT)
CREATE TABLE projects (project_id DECIMAL, project_details TEXT)
CREATE TABLE ref_budget_codes (budget_type_code TEXT, budget_type_description TEXT)
CREATE TABLE statements (statement_id DECIMAL, statement_details TEXT)
| Show statement id, statement detail, account detail for accounts. | SELECT T1.statement_id, T2.statement_details, T1.account_details FROM accounts AS T1 JOIN statements AS T2 ON T1.statement_id = T2.statement_id | SELECT "T1"."statement_id", "T2"."statement_details", "T1"."account_details" FROM "accounts" AS "T1" JOIN "statements" AS "T2" ON "T1"."statement_id" = "T2"."statement_id" | 0.166992 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| what is the minimum total hospital cost, that includes antibacterials - quinolone until 2104? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'antibacterials - quinolone')) AND STRFTIME('%y', cost.chargetime) <= '2104' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'antibacterials - quinolone' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_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" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") <= '2104' GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" AS "t1" | 0.65625 |
CREATE TABLE player_award (year VARCHAR)
CREATE TABLE player (name_first VARCHAR, name_last VARCHAR)
| Find the players' first name and last name who won award both in 1960 and in 1961. | SELECT T1.name_first, T1.name_last FROM player AS T1 JOIN player_award AS T2 WHERE T2.year = 1960 INTERSECT SELECT T1.name_first, T1.name_last FROM player AS T1 JOIN player_award AS T2 WHERE T2.year = 1961 | SELECT "T1"."name_first", "T1"."name_last" FROM "player" AS "T1" JOIN "player_award" AS "T2" ON "T2"."year" = 1960 INTERSECT SELECT "T1"."name_first", "T1"."name_last" FROM "player" AS "T1" JOIN "player_award" AS "T2" ON "T2"."year" = 1961 | 0.233398 |
CREATE TABLE table_79917 ("Year" FLOAT, "Men's singles" TEXT, "Women's singles" TEXT, "Men's doubles" TEXT, "Women's doubles" TEXT, "Mixed doubles" TEXT)
| In what mixed doubles did Niels Christian Kaldau play in men's singles? | SELECT "Mixed doubles" FROM table_79917 WHERE "Men's singles" = 'niels christian kaldau' | SELECT "Mixed doubles" FROM "table_79917" WHERE "Men's singles" = 'niels christian kaldau' | 0.087891 |
CREATE TABLE table_77843 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Where was the game played where the away team has a score of 7.6 (48)? | SELECT "Venue" FROM table_77843 WHERE "Away team score" = '7.6 (48)' | SELECT "Venue" FROM "table_77843" WHERE "Away team score" = '7.6 (48)' | 0.068359 |
CREATE TABLE table_name_44 (team_c VARCHAR, team_e VARCHAR)
| Who is team c when dhez javier is team e? | SELECT team_c FROM table_name_44 WHERE team_e = "dhez javier" | SELECT "team_c" FROM "table_name_44" WHERE "dhez javier" = "team_e" | 0.06543 |
CREATE TABLE table_17730 ("Program" TEXT, "Degree" TEXT, "Focus" TEXT, "Teaching language" TEXT, "Duration ( years ) " TEXT, "full-time/part-time" TEXT, "ECTS Credit Points" FLOAT)
| What is the program where the focus is general management? | SELECT "Program" FROM table_17730 WHERE "Focus" = 'General Management' | SELECT "Program" FROM "table_17730" WHERE "Focus" = 'General Management' | 0.070313 |
CREATE TABLE table_name_98 (race VARCHAR, position VARCHAR)
| Whice race ended with a DNF? | SELECT race FROM table_name_98 WHERE position = "dnf" | SELECT "race" FROM "table_name_98" WHERE "dnf" = "position" | 0.057617 |
CREATE TABLE table_name_8 (director VARCHAR, language VARCHAR)
| Who is the Director that speaks dutch? | SELECT director FROM table_name_8 WHERE language = "dutch" | SELECT "director" FROM "table_name_8" WHERE "dutch" = "language" | 0.0625 |
CREATE TABLE table_203_382 (id DECIMAL, "date" TEXT, "opponent" TEXT, "site" TEXT, "result" TEXT)
| what are the total number of games played in october ? | SELECT COUNT(*) FROM table_203_382 WHERE "date" = 10 | SELECT COUNT(*) FROM "table_203_382" WHERE "date" = 10 | 0.052734 |
CREATE TABLE table_name_73 (round VARCHAR, record VARCHAR)
| What round had a record of 8-2? | SELECT round FROM table_name_73 WHERE record = "8-2" | SELECT "round" FROM "table_name_73" WHERE "8-2" = "record" | 0.056641 |
CREATE TABLE table_62567 ("Parish ( Prestegjeld ) " TEXT, "Sub-Parish ( Sokn ) " TEXT, "Church Name" TEXT, "Year Built" FLOAT, "Location of the Church" TEXT)
| What is the Location of the Church that was built in the year 1914? | SELECT "Location of the Church" FROM table_62567 WHERE "Year Built" = '1914' | SELECT "Location of the Church" FROM "table_62567" WHERE "Year Built" = '1914' | 0.076172 |
CREATE TABLE table_203_759 (id DECIMAL, "year" DECIMAL, "company" TEXT, "number of members affected" DECIMAL, "duration of strike" TEXT, "notes" TEXT)
| the company with the most days on strike | SELECT "company" FROM table_203_759 ORDER BY "duration of strike" DESC LIMIT 1 | SELECT "company" FROM "table_203_759" ORDER BY "duration of strike" DESC NULLS LAST LIMIT 1 | 0.088867 |
CREATE TABLE table_22608 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| Which position in the table is the team watford? | SELECT "Position in table" FROM table_22608 WHERE "Team" = 'Watford' | SELECT "Position in table" FROM "table_22608" WHERE "Team" = 'Watford' | 0.068359 |
CREATE TABLE table_79912 ("Name" TEXT, "Period" TEXT, "League" FLOAT, "FA Cup" FLOAT, "League Cup" FLOAT, "Other" FLOAT, "Total" FLOAT)
| What is the average number of FA cups Steve Whitworth, who has less than 400 total, has? | SELECT AVG("FA Cup") FROM table_79912 WHERE "Name" = 'steve whitworth' AND "Total" < '400' | SELECT AVG("FA Cup") FROM "table_79912" WHERE "Name" = 'steve whitworth' AND "Total" < '400' | 0.089844 |
CREATE TABLE table_1788 ("Country" TEXT, "Population ( 2011 ) " FLOAT, "GDP ( nominal ) ( 2010 , US$ millions ) " FLOAT, "Military expenditures ( 2011 , US$ millions ) " FLOAT, "Military expenditures ( 2011 , % of GDP ) " TEXT, "Defence expenditures , ( 2011 , per capita ) " FLOAT, "Deployable military ( 2011 , thousands ) " TEXT)
| Name the military expenditures for 2011 for romania | SELECT "Military expenditures (2011, US$ millions)" FROM table_1788 WHERE "Country" = 'Romania' | SELECT "Military expenditures (2011, US$ millions)" FROM "table_1788" WHERE "Country" = 'Romania' | 0.094727 |
CREATE TABLE table_51780 ("Name" TEXT, "Years" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" FLOAT)
| Can you tell me the lowest Decile that has the Area of matakohe, and the Roll larger than 86? | SELECT MIN("Decile") FROM table_51780 WHERE "Area" = 'matakohe' AND "Roll" > '86' | SELECT MIN("Decile") FROM "table_51780" WHERE "Area" = 'matakohe' AND "Roll" > '86' | 0.081055 |
CREATE TABLE table_203_27 (id DECIMAL, "number" DECIMAL, "serial no" DECIMAL, "entered service" TEXT, "withdrawn" TEXT, "kilometres travelled" DECIMAL)
| which locomotive entered service first : 4107 or 4103 ? | SELECT "number" FROM table_203_27 WHERE "number" IN (4107, 4103) ORDER BY "entered service" LIMIT 1 | SELECT "number" FROM "table_203_27" WHERE "number" IN (4107, 4103) ORDER BY "entered service" NULLS FIRST LIMIT 1 | 0.110352 |
CREATE TABLE table_name_28 (attendance VARCHAR, date VARCHAR)
| What's the attendance for the game held on January 2, 2005? | SELECT attendance FROM table_name_28 WHERE date = "january 2, 2005" | SELECT "attendance" FROM "table_name_28" WHERE "date" = "january 2, 2005" | 0.071289 |
CREATE TABLE table_name_9 (analog VARCHAR, callsign VARCHAR)
| what is the analog type for wxmi? | SELECT analog FROM table_name_9 WHERE callsign = "wxmi" | SELECT "analog" FROM "table_name_9" WHERE "callsign" = "wxmi" | 0.05957 |
CREATE TABLE table_13686 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
| Who is the runner(s)-up for the Lady Carling Open with 3 strokes margin of victory? | SELECT "Runner(s)-up" FROM table_13686 WHERE "Margin of victory" = '3 strokes' AND "Tournament" = 'lady carling open' | SELECT "Runner(s)-up" FROM "table_13686" WHERE "Margin of victory" = '3 strokes' AND "Tournament" = 'lady carling open' | 0.116211 |
CREATE TABLE item (i_id DECIMAL, title TEXT)
CREATE TABLE trust (source_u_id DECIMAL, target_u_id DECIMAL, trust DECIMAL)
CREATE TABLE review (a_id DECIMAL, u_id DECIMAL, i_id DECIMAL, rating DECIMAL, rank DECIMAL)
CREATE TABLE useracct (u_id DECIMAL, name TEXT)
| Find the highest rank of all reviews. | SELECT MIN(rank) FROM review | SELECT MIN("rank") FROM "review" | 0.03125 |
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