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CREATE TABLE table_48069 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Total has a Bronze larger than 2, a Gold smaller than 16, a Silver of 0, and a Rank of 13? | SELECT AVG("Total") FROM table_48069 WHERE "Bronze" > '2' AND "Gold" < '16' AND "Silver" = '0' AND "Rank" = '13' | SELECT AVG("Total") FROM "table_48069" WHERE "Bronze" > '2' AND "Gold" < '16' AND "Rank" = '13' AND "Silver" = '0' | 0.111328 |
CREATE TABLE table_dev_30 ("id" NUMBER, "gender" CLOB, "leukopenia" NUMBER, "cd4_count" NUMBER, "stroke" BOOLEAN, "platelets" NUMBER, "hematocrit_hct" FLOAT, "fasting_triglycerides" NUMBER, "coronary_stenosis" NUMBER, "hyperlipidemia" BOOLEAN, "lymphopenia" NUMBER, "fasting_ldl_cholesterol" NUMBER, "coronary_artery_disease_cad" BOOLEAN, "serum_creatinine" FLOAT, "baseline_hemoglobin_hgb" FLOAT, "peripheral_arterial_disease" BOOLEAN, "myocardial_infarction" BOOLEAN, "NOUSE" FLOAT)
| serum creatinine greater than or equal to 1.3 mg / dl for female , and greater than or equal to 1.5 mg / dl for male | SELECT * FROM table_dev_30 WHERE (serum_creatinine >= 1.3 AND gender = 'female') OR (serum_creatinine >= 1.5 AND gender = 'male') | SELECT * FROM "table_dev_30" WHERE ("gender" = 'female' OR "gender" = 'male') AND ("gender" = 'female' OR "serum_creatinine" >= 1.5) AND "serum_creatinine" >= 1.3 | 0.158203 |
CREATE TABLE table_1341423_32 (district VARCHAR2, incumbent VARCHAR2)
| Name the district for carolyn mccarthy | SELECT district FROM table_1341423_32 WHERE incumbent = "Carolyn McCarthy" | SELECT "district" FROM "table_1341423_32" WHERE "Carolyn McCarthy" = "incumbent" | 0.078125 |
CREATE TABLE table_name_88 (away_team VARCHAR2, home_team VARCHAR2)
| What is the score of the away team with the home team Fitzroy? | SELECT away_team AS score FROM table_name_88 WHERE home_team = "fitzroy" | SELECT "away_team" AS "score" FROM "table_name_88" WHERE "fitzroy" = "home_team" | 0.078125 |
CREATE TABLE table_59289 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Result" CLOB, "Record" CLOB)
| What is Date, when Score is '80-79'? | SELECT "Date" FROM table_59289 WHERE "Score" = '80-79' | SELECT "Date" FROM "table_59289" WHERE "Score" = '80-79' | 0.054688 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| was the value of rbc of patient 027-95744 last measured on the last hospital visit less than its value first measured on the last hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-95744' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'rbc' ORDER BY lab.labresulttime DESC LIMIT 1) < (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-95744' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'rbc' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-95744' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'rbc' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY) < (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'rbc' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY) | 1.086914 |
CREATE TABLE orders (order_id NUMBER, customer_id NUMBER, date_order_placed TIME, order_details CLOB)
CREATE TABLE invoice_line_items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title CLOB, product_quantity CLOB, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, date_account_opened TIME, account_name CLOB, other_account_details CLOB)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity CLOB, other_order_item_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE product_categories (production_type_code CLOB, product_type_description CLOB, vat_rating NUMBER)
CREATE TABLE invoices (invoice_number NUMBER, order_id NUMBER, invoice_date TIME)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_middle_initial CLOB, customer_last_name CLOB, gender CLOB, email_address CLOB, login_name CLOB, login_password CLOB, phone_number CLOB, town_city CLOB, state_county_province CLOB, country CLOB)
CREATE TABLE products (product_id NUMBER, parent_product_id NUMBER, production_type_code CLOB, unit_price NUMBER, product_name CLOB, product_color CLOB, product_size CLOB)
| Return the average, minimum, maximum, and total transaction amounts. | SELECT AVG(transaction_amount), MIN(transaction_amount), MAX(transaction_amount), SUM(transaction_amount) FROM financial_transactions | SELECT AVG("transaction_amount"), MIN("transaction_amount"), MAX("transaction_amount"), SUM("transaction_amount") FROM "financial_transactions" | 0.139648 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is average age of patients whose language is span and primary disease is brain mass;intracranial hemorrhage? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.language = "SPAN" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "BRAIN MASS;INTRACRANIAL HEMORRHAGE" = "demographic"."diagnosis" AND "SPAN" = "demographic"."language" | 0.155273 |
CREATE TABLE table_26748 ("Position" CLOB, "Name" CLOB, "Nationality" CLOB, "Event 1 Medley" CLOB, "Event 2 Truck Pull" CLOB, "Event 3 Dead Lift" CLOB, "Event 4 Fingals Fingers" CLOB, "Event 5 Keg Toss" CLOB, "Event 6 Atlas Stones" CLOB)
| What is the score in the 6 atlas stones event of the player who got 2 (6 in 30.89s) in the 3 dead lift event? | SELECT COUNT("Event 6 Atlas Stones") FROM table_26748 WHERE "Event 3 Dead Lift" = '2 (6 in 30.89s)' | SELECT COUNT("Event 6 Atlas Stones") FROM "table_26748" WHERE "Event 3 Dead Lift" = '2 (6 in 30.89s)' | 0.098633 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when patient 3403 first received the open reduc-int fix femur this year? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'open reduc-int fix femur') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3403) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3403 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'open reduc-int fix femur' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.591797 |
CREATE TABLE table_name_9 (play_offs NUMBER, fa_cup NUMBER)
| What are the average play-offs that have an FA Cup greater than 3? | SELECT AVG(play_offs) FROM table_name_9 WHERE fa_cup > 3 | SELECT AVG("play_offs") FROM "table_name_9" WHERE "fa_cup" > 3 | 0.060547 |
CREATE TABLE table_34089 ("Driver" CLOB, "Points" FLOAT, "Season" FLOAT, "Races" FLOAT, "Percentage of possible points" CLOB)
| Which races have points greater than 123, fernando alonso as the driver and a percentage of possible points of 74.44%? | SELECT "Races" FROM table_34089 WHERE "Points" > '123' AND "Driver" = 'fernando alonso' AND "Percentage of possible points" = '74.44%' | SELECT "Races" FROM "table_34089" WHERE "Driver" = 'fernando alonso' AND "Percentage of possible points" = '74.44%' AND "Points" > '123' | 0.132813 |
CREATE TABLE table_17930 ("Club" CLOB, "Australian Marquee" CLOB, "International Marquee" CLOB, "Junior Marquee player" CLOB, "Captain" CLOB, "Vice-Captain" CLOB)
| Name the captain for ben sigmund | SELECT "Captain" FROM table_17930 WHERE "Vice-Captain" = 'Ben Sigmund' | SELECT "Captain" FROM "table_17930" WHERE "Vice-Captain" = 'Ben Sigmund' | 0.070313 |
CREATE TABLE table_name_86 (lecturers NUMBER, department VARCHAR2, full_professors VARCHAR2)
| What is the least amount of lecturers in the accounting department with less than 5 full professors? | SELECT MIN(lecturers) FROM table_name_86 WHERE department = "accounting" AND full_professors < 5 | SELECT MIN("lecturers") FROM "table_name_86" WHERE "accounting" = "department" AND "full_professors" < 5 | 0.101563 |
CREATE TABLE table_name_98 (event VARCHAR2, opponent VARCHAR2)
| What event did Diego Saraiva fight jorge gurgel? | SELECT event FROM table_name_98 WHERE opponent = "jorge gurgel" | SELECT "event" FROM "table_name_98" WHERE "jorge gurgel" = "opponent" | 0.067383 |
CREATE TABLE table_name_65 (quantity_made VARCHAR2, year_made VARCHAR2)
| What is Quantity Made, when Year Made is '4-4-0 oooo american'? | SELECT quantity_made FROM table_name_65 WHERE year_made = "4-4-0 — oooo — american" | SELECT "quantity_made" FROM "table_name_65" WHERE "4-4-0 — oooo — american" = "year_made" | 0.086914 |
CREATE TABLE table_28565 ("Finished" CLOB, "Performance Order" FLOAT, "Percentage of votes" CLOB, "Artist" CLOB, "Act" CLOB, "Semi Finals Result" CLOB)
| Name the performance order for 2.15% | SELECT "Performance Order" FROM table_28565 WHERE "Percentage of votes" = '2.15%' | SELECT "Performance Order" FROM "table_28565" WHERE "Percentage of votes" = '2.15%' | 0.081055 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| What 's the number of the course on Mentorship- Multidisciplinary Design ? | SELECT DISTINCT number FROM course WHERE (description LIKE '%Mentorship- Multidisciplinary Design%' OR name LIKE '%Mentorship- Multidisciplinary Design%') AND department = 'EECS' | SELECT DISTINCT "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%Mentorship- Multidisciplinary Design%' OR "name" LIKE '%Mentorship- Multidisciplinary Design%') | 0.183594 |
CREATE TABLE table_56081 ("Swedish title" CLOB, "Norwegian title" CLOB, "Translated title" CLOB, "Published" FLOAT, "Pages" FLOAT, "ISBN" CLOB)
| I want the sum of pages for thistle among roses | SELECT SUM("Pages") FROM table_56081 WHERE "Translated title" = 'thistle among roses' | SELECT SUM("Pages") FROM "table_56081" WHERE "Translated title" = 'thistle among roses' | 0.084961 |
CREATE TABLE table_63797 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What place did Lee Westwood finish in? | SELECT "Place" FROM table_63797 WHERE "Player" = 'lee westwood' | SELECT "Place" FROM "table_63797" WHERE "Player" = 'lee westwood' | 0.063477 |
CREATE TABLE table_1857 ("Class" CLOB, "Team" CLOB, "103lbs" CLOB, "112lbs" CLOB, "119lbs" CLOB, "125lbs" CLOB, "130lbs" CLOB, "135lbs" CLOB, "140lbs" CLOB)
| Who weighed 135lbs that was in the same class as Treveor Grant (Lowry) at 119 lbs? | SELECT "135lbs" FROM table_1857 WHERE "119lbs" = 'Treveor Grant (Lowry)' | SELECT "135lbs" FROM "table_1857" WHERE "119lbs" = 'Treveor Grant (Lowry)' | 0.072266 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and year of death is less than or equal to 2173? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.dod_year <= "2173.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2173.0" >= "demographic"."dod_year" AND "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" = "demographic"."diagnosis" | 0.199219 |
CREATE TABLE table_name_59 (silver VARCHAR2, rank VARCHAR2, total VARCHAR2)
| What is the total number of silver medals of the team ranked 7 with more than 1 total medal? | SELECT COUNT(silver) FROM table_name_59 WHERE rank = "7" AND total > 1 | SELECT COUNT("silver") FROM "table_name_59" WHERE "7" = "rank" AND "total" > 1 | 0.076172 |
CREATE TABLE table_16796625_1 (population VARCHAR2, land_area__hectares_ VARCHAR2)
| How many people live in an area of 30.94 hectares? | SELECT COUNT(population) FROM table_16796625_1 WHERE land_area__hectares_ = "30.94" | SELECT COUNT("population") FROM "table_16796625_1" WHERE "30.94" = "land_area__hectares_" | 0.086914 |
CREATE TABLE table_20747 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Ground" CLOB, "Date" CLOB, "Crowd" FLOAT)
| Name the home team for football park | SELECT "Home team" FROM table_20747 WHERE "Ground" = 'Football Park' | SELECT "Home team" FROM "table_20747" WHERE "Ground" = 'Football Park' | 0.068359 |
CREATE TABLE table_57987 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the decision on october 5? | SELECT "Decision" FROM table_57987 WHERE "Date" = 'october 5' | SELECT "Decision" FROM "table_57987" WHERE "Date" = 'october 5' | 0.061523 |
CREATE TABLE table_name_13 (attendance NUMBER, score VARCHAR2, points VARCHAR2)
| Which Attendance has a Score of 4 3, and Points smaller than 5? | SELECT MAX(attendance) FROM table_name_13 WHERE score = "4–3" AND points < 5 | SELECT MAX("attendance") FROM "table_name_13" WHERE "4–3" = "score" AND "points" < 5 | 0.082031 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients who died on or before 2155 and had hypoxia as primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.dod_year <= "2155.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2155.0" >= "demographic"."dod_year" AND "HYPOXIA" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE table_204_538 (id NUMBER, "pos." NUMBER, "driver" CLOB, "co-driver" CLOB, "car" CLOB, "time" CLOB)
| who was the co driver of the first place driver ? | SELECT "co-driver" FROM table_204_538 WHERE "pos." = 1 | SELECT "co-driver" FROM "table_204_538" WHERE "pos." = 1 | 0.054688 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| ORDER BY - first posts by CreationDate. | SELECT Id, CreationDate, Title, Body FROM dbo.Posts ORDER BY CreationDate LIMIT 10 | SELECT "Id", "CreationDate", "Title", "Body" FROM "dbo"."Posts" ORDER BY "CreationDate" FETCH FIRST 10 ROWS ONLY | 0.109375 |
CREATE TABLE table_name_50 (city VARCHAR2, iata VARCHAR2)
| Which city's IATA is KUL? | SELECT city FROM table_name_50 WHERE iata = "kul" | SELECT "city" FROM "table_name_50" WHERE "iata" = "kul" | 0.053711 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
| How many professors whose office is located in DRE 102 are hired in each weekday? Return a bar chart, sort in desc by the Y. | SELECT EMP_HIREDATE, COUNT(EMP_HIREDATE) FROM EMPLOYEE AS T1 JOIN PROFESSOR AS T2 ON T1.EMP_NUM = T2.EMP_NUM WHERE T2.PROF_OFFICE = 'DRE 102' ORDER BY COUNT(EMP_HIREDATE) DESC | SELECT "EMP_HIREDATE", COUNT("EMP_HIREDATE") FROM "EMPLOYEE" "T1" JOIN "PROFESSOR" "T2" ON "T1"."EMP_NUM" = "T2"."EMP_NUM" AND "T2"."PROF_OFFICE" = 'DRE 102' ORDER BY COUNT("EMP_HIREDATE") DESC | 0.188477 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of email and employee_id in a bar chart, and rank in asc by the bars please. | SELECT EMAIL, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL | SELECT "EMAIL", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMAIL" | 0.181641 |
CREATE TABLE table_40995 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| What is team ypiranga-sp's average position when they lost by less than 7? | SELECT AVG("Position") FROM table_40995 WHERE "Team" = 'ypiranga-sp' AND "Lost" < '7' | SELECT AVG("Position") FROM "table_40995" WHERE "Lost" < '7' AND "Team" = 'ypiranga-sp' | 0.084961 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is average age of patients whose gender is m and insurance is private? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Private" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "M" = "demographic"."gender" AND "Private" = "demographic"."insurance" | 0.124023 |
CREATE TABLE table_27117365_1 (original_air_date VARCHAR2, us_viewers__million_ VARCHAR2)
| What original air date has 5.85 u.s. viewers (million)? | SELECT original_air_date FROM table_27117365_1 WHERE us_viewers__million_ = "5.85" | SELECT "original_air_date" FROM "table_27117365_1" WHERE "5.85" = "us_viewers__million_" | 0.085938 |
CREATE TABLE table_33302 ("Song" CLOB, "Release date" CLOB, "Release info" CLOB, "Formats" CLOB, "Album" CLOB)
| Which song released on heavenly (hvn152)? | SELECT "Song" FROM table_33302 WHERE "Release info" = 'heavenly (hvn152)' | SELECT "Song" FROM "table_33302" WHERE "Release info" = 'heavenly (hvn152)' | 0.073242 |
CREATE TABLE table_70190 ("Year" CLOB, "Venue" CLOB, "Winners" CLOB, "Runner-up" CLOB, "3rd place" CLOB)
| Who was the 3rd place team at Pardubice? | SELECT "3rd place" FROM table_70190 WHERE "Venue" = 'pardubice' | SELECT "3rd place" FROM "table_70190" WHERE "Venue" = 'pardubice' | 0.063477 |
CREATE TABLE table_27069503_2 (overall VARCHAR2, conf_record VARCHAR2)
| What was the overall record for the Pandas when their conference record was 4-1-1? | SELECT overall FROM table_27069503_2 WHERE conf_record = "4-1-1" | SELECT "overall" FROM "table_27069503_2" WHERE "4-1-1" = "conf_record" | 0.068359 |
CREATE TABLE table_16022 ("Episode #" FLOAT, "Production code" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Airdate" CLOB)
| who directed the movie written by is sib ventress / aydrea ten bosch | SELECT "Directed by" FROM table_16022 WHERE "Written by" = 'Sib Ventress / Aydrea ten Bosch' | SELECT "Directed by" FROM "table_16022" WHERE "Written by" = 'Sib Ventress / Aydrea ten Bosch' | 0.091797 |
CREATE TABLE table_3916 ("Episode #" FLOAT, "Series #" FLOAT, "Title" CLOB, "Director" CLOB, "Writer" CLOB, "Original airdate" CLOB, "Viewers ( millions ) " CLOB)
| Who directed 'running the gauntlet'? | SELECT "Director" FROM table_3916 WHERE "Title" = 'Running the Gauntlet' | SELECT "Director" FROM "table_3916" WHERE "Title" = 'Running the Gauntlet' | 0.072266 |
CREATE TABLE table_18187 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| what's the first elected with district illinois 18 | SELECT "First elected" FROM table_18187 WHERE "District" = 'Illinois 18' | SELECT "First elected" FROM "table_18187" WHERE "District" = 'Illinois 18' | 0.072266 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| had patient 26995 had the urine out void output on 11/29/last year? | SELECT COUNT(*) > 0 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 = 26995)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out void' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', outputevents.charttime) = '11-29' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 26995 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out void' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '11-29' | 0.826172 |
CREATE TABLE table_name_57 (venue VARCHAR2, date VARCHAR2)
| What is the venue on 3 September 1972? | SELECT venue FROM table_name_57 WHERE date = "3 september 1972" | SELECT "venue" FROM "table_name_57" WHERE "3 september 1972" = "date" | 0.067383 |
CREATE TABLE table_name_81 (agg VARCHAR2, team_1 VARCHAR2)
| What is Team 1 Al-Hilal's Agg.? | SELECT agg FROM table_name_81 WHERE team_1 = "al-hilal" | SELECT "agg" FROM "table_name_81" WHERE "al-hilal" = "team_1" | 0.05957 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| when did patient 010-26737 enter for the last time in the hospital in this year? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '010-26737' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY patient.hospitaladmittime DESC LIMIT 1 | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '010-26737' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.270508 |
CREATE TABLE table_8038 ("Date" CLOB, "H/A/N" CLOB, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| Who were the opponents in the game that ended in a score of 116-106? | SELECT "Opponent" FROM table_8038 WHERE "Score" = '116-106' | SELECT "Opponent" FROM "table_8038" WHERE "Score" = '116-106' | 0.05957 |
CREATE TABLE table_7452 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Which Years in Orlando has a Nationality of united states, and a School/Club Team of illinois? | SELECT "Years in Orlando" FROM table_7452 WHERE "Nationality" = 'united states' AND "School/Club Team" = 'illinois' | SELECT "Years in Orlando" FROM "table_7452" WHERE "Nationality" = 'united states' AND "School/Club Team" = 'illinois' | 0.114258 |
CREATE TABLE table_30120556_1 (barony VARCHAR2, townland VARCHAR2)
| How many barony's appear when Ballyvadona is the townland. | SELECT COUNT(barony) FROM table_30120556_1 WHERE townland = "Ballyvadona" | SELECT COUNT("barony") FROM "table_30120556_1" WHERE "Ballyvadona" = "townland" | 0.077148 |
CREATE TABLE table_train_166 ("id" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" CLOB, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
| history of type i diabetes | SELECT * FROM table_train_166 WHERE diabetic = 'i' | SELECT * FROM "table_train_166" WHERE "diabetic" = 'i' | 0.052734 |
CREATE TABLE table_name_86 (builder VARCHAR2, works_number VARCHAR2)
| Which Builder has a Works Number of 16272? | SELECT builder FROM table_name_86 WHERE works_number = "16272" | SELECT "builder" FROM "table_name_86" WHERE "16272" = "works_number" | 0.066406 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Give me the comparison about the sum of ID over the Nationality , and group by attribute Nationality by a bar chart, order by the bar from low to high. | SELECT Nationality, SUM(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality | SELECT "Nationality", SUM("ID") FROM "swimmer" GROUP BY "Nationality" ORDER BY "Nationality" | 0.089844 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| during the first hospital encounter, how much did patient 012-169 weigh for the first time? | SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-169' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-169' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY) SELECT "patient"."admissionweight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.511719 |
CREATE TABLE table_269920_16 (l3_cache__mb_ VARCHAR2, speed__ghz_ VARCHAR2)
| What is the L3 cache for the processor having a speed of 2.93 GHz? | SELECT l3_cache__mb_ FROM table_269920_16 WHERE speed__ghz_ = "2.93" | SELECT "l3_cache__mb_" FROM "table_269920_16" WHERE "2.93" = "speed__ghz_" | 0.072266 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose diagnoses short title is late ef-hemplga side nos and lab test category is hematology? | 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 = "Late ef-hemplga side NOS" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Late ef-hemplga side NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.280273 |
CREATE TABLE table_73095 ("Election" FLOAT, "Leader" CLOB, "# of candidates" FLOAT, "# of seats to be won" FLOAT, "# of seats won" FLOAT, "# of total votes" FLOAT, "% of popular vote" CLOB)
| Name the number of candidates for # of seats won being 43 | SELECT "# of candidates" FROM table_73095 WHERE "# of seats won" = '43' | SELECT "# of candidates" FROM "table_73095" WHERE "# of seats won" = '43' | 0.071289 |
CREATE TABLE management (department_id NUMBER, head_id NUMBER, temporary_acting CLOB)
CREATE TABLE department (department_id NUMBER, name CLOB, creation CLOB, ranking NUMBER, budget_in_billions NUMBER, num_employees NUMBER)
CREATE TABLE head (head_id NUMBER, name CLOB, born_state CLOB, age NUMBER)
| Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | SELECT T1.name, T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | SELECT "T1"."name", "T1"."num_employees" FROM "department" "T1" JOIN "management" "T2" ON "T1"."department_id" = "T2"."department_id" AND "T2"."temporary_acting" = 'Yes' | 0.165039 |
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
| which UA flight flies across this continent and leaves from BOSTON goes to DALLAS and makes a stopover in PHILADELPHIA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'PHILADELPHIA' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id 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) AND flight.airline_code = 'UA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'PHILADELPHIA' | 0.811523 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| which patients have myco500i drug code? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "MYCO500I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MYCO500I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.192383 |
CREATE TABLE table_10812938_5 (pick__number NUMBER, cfl_team VARCHAR2)
| What's the pick number of the player from Toronto Argonauts? | SELECT MIN(pick__number) FROM table_10812938_5 WHERE cfl_team = "Toronto Argonauts" | SELECT MIN("pick__number") FROM "table_10812938_5" WHERE "Toronto Argonauts" = "cfl_team" | 0.086914 |
CREATE TABLE table_54190 ("! Late 1941" CLOB, "Late 1942" FLOAT, "Sept. 1943" FLOAT, "Late 1943" FLOAT, "Late 1944" FLOAT, "1978 Veteran membership" FLOAT)
| What is the highest late 1943 with a late 1944 bigger than 22,000, a late 1942 bigger than 1,000, a late 1941 slovenia, and less than 4000 in september 1943? | SELECT MAX("Late 1943") FROM table_54190 WHERE "Late 1944" > '22,000' AND "Late 1942" > '1,000' AND "! Late 1941" = 'slovenia' AND "Sept. 1943" < '4000' | SELECT MAX("Late 1943") FROM "table_54190" WHERE "! Late 1941" = 'slovenia' AND "Late 1942" > '1,000' AND "Late 1944" > '22,000' AND "Sept. 1943" < '4000' | 0.150391 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Possible broken relative links after migration. | SELECT m.PostId AS "post_link", m.CreationDate AS "Migration date" FROM PostHistory AS m INNER JOIN PostHistory AS b ON m.PostId = b.PostId AND b.PostHistoryTypeId = 2 WHERE m.PostHistoryTypeId = 36 AND (b.Text LIKE '%](/q%' OR b.Text LIKE '%](/a%' OR b.Text LIKE '%](/u%' OR b.Text LIKE '%](/p%') ORDER BY m.CreationDate DESC | SELECT "m"."PostId" AS "post_link", "m"."CreationDate" AS "Migration date" FROM "PostHistory" "m" JOIN "PostHistory" "b" ON "b"."PostHistoryTypeId" = 2 AND "b"."PostId" = "m"."PostId" AND ("b"."Text" LIKE '%](/a%' OR "b"."Text" LIKE '%](/p%' OR "b"."Text" LIKE '%](/q%' OR "b"."Text" LIKE '%](/u%') WHERE "m"."PostHistoryTypeId" = 36 ORDER BY "m"."CreationDate" DESC | 0.357422 |
CREATE TABLE table_name_21 (power VARCHAR2, name VARCHAR2)
| Which Power has a Name of 9 nc? | SELECT power FROM table_name_21 WHERE name = "9 nc" | SELECT "power" FROM "table_name_21" WHERE "9 nc" = "name" | 0.055664 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| flights from SAN FRANCISCO 8 1 | SELECT DISTINCT flight.flight_id FROM airport_service, city, date_day, days, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'SAN FRANCISCO' AND date_day.day_number = 1 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.from_airport = airport_service.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "date_day" ON "date_day"."day_number" = 1 AND "date_day"."month_number" = 8 AND "date_day"."year" = 1991 JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'SAN FRANCISCO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "airport_service"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" | 0.446289 |
CREATE TABLE table_6947 ("Date" CLOB, "English Name" CLOB, "Chinese Name" CLOB, "Tamil Name" CLOB, "Type" CLOB)
| What is the Tamil Name of ( 2)? | SELECT "Type" FROM table_6947 WHERE "Tamil Name" = 'சந்திர புத்தாண்டு (தினம் 2)' | SELECT "Type" FROM "table_6947" WHERE "Tamil Name" = 'சந்திர புத்தாண்டு (தினம் 2)' | 0.080078 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
| New answers to nearly old questions. | SELECT pa.Id AS "post_link", pa.Body FROM Posts AS pa, Posts AS pq WHERE pa.ParentId = pq.Id AND pq.CreationDate < '18 Mar 2013' AND pa.CreationDate > '1 Apr 2013' AND DATEDIFF(day, pq.CreationDate, CreationDate) < 30 AND pa.ClosedDate IS NULL AND NOT EXISTS(SELECT 1 FROM PostHistory AS ph WHERE ph.PostId = pa.Id AND ph.PostHistoryTypeId = 12) ORDER BY 2 | WITH "_u_0" AS (SELECT "ph"."PostId" AS "_u_1" FROM "PostHistory" "ph" WHERE "ph"."PostHistoryTypeId" = 12 GROUP BY "ph"."PostId") SELECT "pa"."Id" AS "post_link", "pa"."Body" FROM "Posts" "pa" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "pa"."Id" JOIN "Posts" "pq" ON "pa"."ParentId" = "pq"."Id" AND "pq"."CreationDate" < '18 Mar 2013' AND DATEDIFF(CAST("day" AS DATETIME), CAST("pq"."CreationDate" AS DATETIME), CREATIONDATE) < 30 WHERE "_u_0"."_u_1" IS NULL AND "pa"."ClosedDate" IS NULL AND "pa"."CreationDate" > '1 Apr 2013' ORDER BY 2 | 0.526367 |
CREATE TABLE table_name_41 (years_for_rockets VARCHAR2, school_club_team_country VARCHAR2, height_in_ft VARCHAR2, position VARCHAR2)
| During what years did the Guard from Oklahoma with a height of 6-6 play for the Rockets? | SELECT years_for_rockets FROM table_name_41 WHERE height_in_ft = "6-6" AND position = "guard" AND school_club_team_country = "oklahoma" | SELECT "years_for_rockets" FROM "table_name_41" WHERE "6-6" = "height_in_ft" AND "guard" = "position" AND "oklahoma" = "school_club_team_country" | 0.141602 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose admission type is emergency and drug name is lidocaine 5% patch? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug = "Lidocaine 5% Patch" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Lidocaine 5% Patch" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.239258 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
| WOMENSTD 323 has how many lecture sections next semester ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'WOMENSTD' AND course.number = 323 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'WOMENSTD' AND "course"."number" = 323 | 0.306641 |
CREATE TABLE table_1979203_1 (_virtual_ VARCHAR2, callsign VARCHAR2)
| what is the virtual callsign if is wnet | SELECT _virtual_ FROM table_1979203_1 WHERE callsign = "WNET" | SELECT "_virtual_" FROM "table_1979203_1" WHERE "WNET" = "callsign" | 0.06543 |
CREATE TABLE market (market_id NUMBER, country CLOB, number_cities NUMBER)
CREATE TABLE film_market_estimation (estimation_id NUMBER, low_estimate NUMBER, high_estimate NUMBER, film_id NUMBER, type CLOB, market_id NUMBER, year NUMBER)
CREATE TABLE film (film_id NUMBER, title CLOB, studio CLOB, director CLOB, gross_in_dollar NUMBER)
| Please show the titles of films and the types of market estimations. | SELECT T1.title, T2.type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.film_id = T2.film_id | SELECT "T1"."title", "T2"."type" FROM "film" "T1" JOIN "film_market_estimation" "T2" ON "T1"."film_id" = "T2"."film_id" | 0.116211 |
CREATE TABLE table_23508 ("No." FLOAT, "Barangay" CLOB, "Area ( in km 2 ) " CLOB, "Rank" FLOAT, "Population ( 2000 ) " FLOAT, "Population ( 2007 ) " FLOAT, "Population ( 2010 ) " FLOAT, "Population Density ( 2010 ) " CLOB)
| How many people lived in bulac in the year 2000? | SELECT MAX("Population (2000)") FROM table_23508 WHERE "Barangay" = 'Bulac' | SELECT MAX("Population (2000)") FROM "table_23508" WHERE "Barangay" = 'Bulac' | 0.075195 |
CREATE TABLE table_47581 ("Year ( Ceremony ) " CLOB, "Film title used in nomination" CLOB, "Original title" CLOB, "Primary Language ( s ) " CLOB, "Director" CLOB, "Result" CLOB)
| What is Director, when Original Title is 'Sah '? | SELECT "Director" FROM table_47581 WHERE "Original title" = 'sahə' | SELECT "Director" FROM "table_47581" WHERE "Original title" = 'sahə' | 0.066406 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| Would there be any upper level classes that do n't require 494 ? | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%topic0%' OR name LIKE '%topic0%') AND department = 'EECS' | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%topic0%' OR "name" LIKE '%topic0%') | 0.146484 |
CREATE TABLE table_33729 ("Date" CLOB, "Venue" CLOB, "Result" CLOB, "Goals" FLOAT, "Competition" CLOB)
| What is the result from March 14, 2007? | SELECT "Result" FROM table_33729 WHERE "Date" = 'march 14, 2007' | SELECT "Result" FROM "table_33729" WHERE "Date" = 'march 14, 2007' | 0.064453 |
CREATE TABLE table_64128 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the silver when the Total is 1, and Gold is 1? | SELECT AVG("Silver") FROM table_64128 WHERE "Total" = '1' AND "Gold" = '1' | SELECT AVG("Silver") FROM "table_64128" WHERE "Gold" = '1' AND "Total" = '1' | 0.074219 |
CREATE TABLE Manufacturers (name VARCHAR2, code VARCHAR2)
CREATE TABLE products (Price NUMBER, manufacturer VARCHAR2, price NUMBER)
| Select the names of manufacturer whose products have an average price higher than or equal to $150. | SELECT AVG(T1.price), T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING AVG(T1.price) >= 150 | SELECT AVG("T1"."price"), "T2"."name" FROM "products" "T1" JOIN "Manufacturers" "T2" ON "T1"."manufacturer" = "T2"."code" GROUP BY "T2"."name" HAVING AVG("T1"."price") >= 150 | 0.169922 |
CREATE TABLE table_33900 ("Date" CLOB, "Episode" FLOAT, "Performer 1" CLOB, "Performer 2" CLOB, "Performer 3" CLOB, "Performer 4" CLOB)
| Which Performer 2 has an Episode of 5? | SELECT "Performer 2" FROM table_33900 WHERE "Episode" = '5' | SELECT "Performer 2" FROM "table_33900" WHERE "Episode" = '5' | 0.05957 |
CREATE TABLE table_name_18 (catalog VARCHAR2, format VARCHAR2)
| What catalog has the CD format? | SELECT catalog FROM table_name_18 WHERE format = "cd" | SELECT "catalog" FROM "table_name_18" WHERE "cd" = "format" | 0.057617 |
CREATE TABLE table_name_42 (player VARCHAR2, year_s__won VARCHAR2, to_par VARCHAR2)
| What is Player, when Year(s) Won is before 1961, and when To Par is 6? | SELECT player FROM table_name_42 WHERE year_s__won < 1961 AND to_par = 6 | SELECT "player" FROM "table_name_42" WHERE "to_par" = 6 AND "year_s__won" < 1961 | 0.078125 |
CREATE TABLE table_name_25 (attendance NUMBER, record VARCHAR2)
| What is the least attendance that has 3-5 as a record? | SELECT MIN(attendance) FROM table_name_25 WHERE record = "3-5" | SELECT MIN("attendance") FROM "table_name_25" WHERE "3-5" = "record" | 0.066406 |
CREATE TABLE table_58745 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( \\u00a3 ) " FLOAT)
| Name The Score of Player of seve ballesteros? | SELECT "Score" FROM table_58745 WHERE "Player" = 'seve ballesteros' | SELECT "Score" FROM "table_58745" WHERE "Player" = 'seve ballesteros' | 0.067383 |
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| flights between BOSTON and PHILADELPHIA that arrive after 200 o'clock and before 500 o'clock on tuesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((((((flight.arrival_time < flight.departure_time) AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) OR (date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND NOT (flight.arrival_time < flight.departure_time))) AND flight.arrival_time < 500) AND flight.arrival_time > 200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' 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" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND ("flight"."arrival_time" < "flight"."departure_time" OR "flight"."arrival_time" >= "flight"."departure_time") AND "flight"."arrival_time" < 500 AND "flight"."arrival_time" > 200 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.875 |
CREATE TABLE table_63469 ("Draw" FLOAT, "Language" CLOB, "Artist" CLOB, "English translation" CLOB, "Place" FLOAT, "Points" FLOAT)
| Which Artist has a Draw smaller than 14, and Points less than 73, and a Language of turkish? | SELECT "Artist" FROM table_63469 WHERE "Draw" < '14' AND "Points" < '73' AND "Language" = 'turkish' | SELECT "Artist" FROM "table_63469" WHERE "Draw" < '14' AND "Language" = 'turkish' AND "Points" < '73' | 0.098633 |
CREATE TABLE table_name_93 (model VARCHAR2)
| Name the 2011 which has a 2002 of , and a Model of seat marbella? | SELECT 2011 FROM table_name_93 WHERE 2002 = "—" AND model = "seat marbella" | SELECT 2011 FROM "table_name_93" WHERE "model" = "seat marbella" AND "—" = 2002 | 0.077148 |
CREATE TABLE table_23281862_9 (record VARCHAR2, high_assists VARCHAR2)
| What is the record where aaron brooks (6) is high assists? | SELECT record FROM table_23281862_9 WHERE high_assists = "Aaron Brooks (6)" | SELECT "record" FROM "table_23281862_9" WHERE "Aaron Brooks (6)" = "high_assists" | 0.079102 |
CREATE TABLE table_34532 ("Name" CLOB, "Town/City" CLOB, "Borough" CLOB, "Region" CLOB, "Type" CLOB)
| In what Town/City is Nana Museum of The Arctic located? | SELECT "Town/City" FROM table_34532 WHERE "Name" = 'nana museum of the arctic' | SELECT "Town/City" FROM "table_34532" WHERE "Name" = 'nana museum of the arctic' | 0.078125 |
CREATE TABLE table_30555 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| Which team drafted Ron Annear? | SELECT "NHL team" FROM table_30555 WHERE "Player" = 'Ron Annear' | SELECT "NHL team" FROM "table_30555" WHERE "Player" = 'Ron Annear' | 0.064453 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| among patients tested for c4 by lab, how many of them have an unspecified death status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.expire_flag = "0" AND lab.label = "C4" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "C4" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.18457 |
CREATE TABLE table_name_38 (attendance NUMBER, date VARCHAR2, week VARCHAR2)
| What was the attendance on September 19, 1971, after week 1? | SELECT AVG(attendance) FROM table_name_38 WHERE date = "september 19, 1971" AND week > 1 | SELECT AVG("attendance") FROM "table_name_38" WHERE "date" = "september 19, 1971" AND "week" > 1 | 0.09375 |
CREATE TABLE table_49532 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| what is the score when the partner is florencia labat, the surface is clay, the opponents is laura golarsa ann grossman? | SELECT "Score" FROM table_49532 WHERE "Partner" = 'florencia labat' AND "Surface" = 'clay' AND "Opponents" = 'laura golarsa ann grossman' | SELECT "Score" FROM "table_49532" WHERE "Opponents" = 'laura golarsa ann grossman' AND "Partner" = 'florencia labat' AND "Surface" = 'clay' | 0.135742 |
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE vehicles (vehicle_id NUMBER, vehicle_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code CLOB, date_became_customer TIME, date_of_birth TIME, first_name CLOB, last_name CLOB, amount_outstanding NUMBER, email_address CLOB, phone_number CLOB, cell_mobile_phone_number CLOB)
CREATE TABLE customer_payments (customer_id NUMBER, datetime_payment TIME, payment_method_code CLOB, amount_payment NUMBER)
CREATE TABLE lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code CLOB, staff_id NUMBER, vehicle_id NUMBER, lesson_date TIME, lesson_time CLOB, price NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_address_id NUMBER, nickname CLOB, first_name CLOB, middle_name CLOB, last_name CLOB, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
| What are the first and last names for all customers? | SELECT first_name, last_name FROM customers | SELECT "first_name", "last_name" FROM "customers" | 0.047852 |
CREATE TABLE table_41840 ("Episode number" FLOAT, "Season" CLOB, "Original airing" CLOB, "Total viewers" CLOB, "Audience share ( average ) " CLOB, "Season viewer average" CLOB)
| Where the audience share is 8%, what is the original airing? | SELECT "Original airing" FROM table_41840 WHERE "Audience share (average)" = '8%' | SELECT "Original airing" FROM "table_41840" WHERE "Audience share (average)" = '8%' | 0.081055 |
CREATE TABLE table_name_88 (season VARCHAR2, qualities VARCHAR2, sign VARCHAR2)
| What is the south season of the scorpio sign, which has cold & wet qualities? | SELECT season AS :_south FROM table_name_88 WHERE qualities = "cold & wet" AND sign = "scorpio" | SELECT "season" AS :_south FROM "table_name_88" WHERE "cold & wet" = "qualities" AND "scorpio" = "sign" | 0.100586 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of patients whose marital status is married and diagnoses long title is awaiting organ transplant status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "MARRIED" AND diagnoses.long_title = "Awaiting organ transplant status" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Awaiting organ transplant status" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.245117 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| list the number of patients born before the year 2197. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2197" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2197" > "demographic"."dob_year" | 0.105469 |
CREATE TABLE table_66188 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What is the Date of the Ameritech Senior Open? | SELECT "Date" FROM table_66188 WHERE "Tournament" = 'ameritech senior open' | SELECT "Date" FROM "table_66188" WHERE "Tournament" = 'ameritech senior open' | 0.075195 |
CREATE TABLE table_name_55 (position VARCHAR2, years_in_orlando VARCHAR2)
| Which Position has a Years in Orlando of 2003 2004? | SELECT position FROM table_name_55 WHERE years_in_orlando = "2003–2004" | SELECT "position" FROM "table_name_55" WHERE "2003–2004" = "years_in_orlando" | 0.075195 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients aged below 72 years speak span? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "72" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "72" > "demographic"."age" AND "SPAN" = "demographic"."language" | 0.135742 |
CREATE TABLE table_name_89 (performance VARCHAR2, athlete VARCHAR2)
| What's the performance of Dire Tune? | SELECT performance FROM table_name_89 WHERE athlete = "dire tune" | SELECT "performance" FROM "table_name_89" WHERE "athlete" = "dire tune" | 0.069336 |
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