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CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| is joseph dillman single, married, or widowed? | SELECT demographic.marital_status FROM demographic WHERE demographic.name = "Joseph Dillman" | SELECT "demographic"."marital_status" FROM "demographic" WHERE "Joseph Dillman" = "demographic"."name" | 0.099609 |
CREATE TABLE table_name_4 (competing_entities VARCHAR2, first_held NUMBER)
| Can you tell me the Competing entities that has the First held smaller than 1970? | SELECT competing_entities FROM table_name_4 WHERE first_held < 1970 | SELECT "competing_entities" FROM "table_name_4" WHERE "first_held" < 1970 | 0.071289 |
CREATE TABLE table_1615980_4 (no VARCHAR2, tournament VARCHAR2)
| How many tournament wins were at Volvo Masters Andalucia? | SELECT COUNT(no) FROM table_1615980_4 WHERE tournament = "Volvo Masters Andalucia" | SELECT COUNT("no") FROM "table_1615980_4" WHERE "Volvo Masters Andalucia" = "tournament" | 0.085938 |
CREATE TABLE table_27274222_2 (province VARCHAR2, turnout___percentage_ VARCHAR2)
| What province had a turnout of 54.09%? | SELECT province FROM table_27274222_2 WHERE turnout___percentage_ = "54.09" | SELECT "province" FROM "table_27274222_2" WHERE "54.09" = "turnout___percentage_" | 0.079102 |
CREATE TABLE table_36740 ("Date" CLOB, "Episode" FLOAT, "Performer 1" CLOB, "Performer 2" CLOB, "Performer 3" CLOB, "Performer 4" CLOB)
| Performer 2 of compilation 1 had what performer 1? | SELECT "Performer 1" FROM table_36740 WHERE "Performer 2" = 'compilation 1' | SELECT "Performer 1" FROM "table_36740" WHERE "Performer 2" = 'compilation 1' | 0.075195 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose age is less than 76 and lab test name is hyaline casts? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "76" AND lab.label = "Hyaline Casts" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hyaline Casts" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "76" > "demographic"."age" | 0.188477 |
CREATE TABLE table_73797 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F.L." FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" CLOB)
| What are the most poles listed? | SELECT MAX("Poles") FROM table_73797 | SELECT MAX("Poles") FROM "table_73797" | 0.037109 |
CREATE TABLE table_47960 ("Cycle" FLOAT, "Premiere date" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Number of contestants" CLOB, "International Destinations" CLOB)
| What is Number of Contestants, when International Destinations is London Lisbon? | SELECT "Number of contestants" FROM table_47960 WHERE "International Destinations" = 'london lisbon' | SELECT "Number of contestants" FROM "table_47960" WHERE "International Destinations" = 'london lisbon' | 0.099609 |
CREATE TABLE table_21257 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" CLOB, "Avg. Finish" CLOB, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
| Which start won $1,301,370? | SELECT "Starts" FROM table_21257 WHERE "Winnings" = '$1,301,370' | SELECT "Starts" FROM "table_21257" WHERE "Winnings" = '$1,301,370' | 0.064453 |
CREATE TABLE table_name_57 (date VARCHAR2, record VARCHAR2)
| What is the Date of the game where the Cavaliers have a Record of 15-27? | SELECT date FROM table_name_57 WHERE record = "15-27" | SELECT "date" FROM "table_name_57" WHERE "15-27" = "record" | 0.057617 |
CREATE TABLE table_22670216_1 (location VARCHAR2, winning_driver VARCHAR2, track VARCHAR2)
| If the track is the Wisconsin State Fair Park Speedway and the winning driver is Wally Dallenbach, what was the location? | SELECT location FROM table_22670216_1 WHERE winning_driver = "Wally Dallenbach" AND track = "Wisconsin State Fair Park Speedway" | SELECT "location" FROM "table_22670216_1" WHERE "Wally Dallenbach" = "winning_driver" AND "Wisconsin State Fair Park Speedway" = "track" | 0.132813 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| Are there any upper-level classes that have 9 credits ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.credits = 9 AND program_course.category LIKE 'ULCS' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'ULCS' WHERE "course"."credits" = 9 | 0.231445 |
CREATE TABLE table_19061741_1 (home_or_representative_town_or_province VARCHAR2, name VARCHAR2)
| When cindy miranda is the name what is the home or representative town or province? | SELECT home_or_representative_town_or_province FROM table_19061741_1 WHERE name = "Cindy Miranda" | SELECT "home_or_representative_town_or_province" FROM "table_19061741_1" WHERE "Cindy Miranda" = "name" | 0.100586 |
CREATE TABLE table_name_96 (tie_no VARCHAR2, home_team VARCHAR2)
| What is Tie no, when Home Team is 'Gillingham'? | SELECT tie_no FROM table_name_96 WHERE home_team = "gillingham" | SELECT "tie_no" FROM "table_name_96" WHERE "gillingham" = "home_team" | 0.067383 |
CREATE TABLE table_name_44 (engine VARCHAR2, year VARCHAR2, chassis VARCHAR2)
| What type of engine does a 1951 alfa romeo 159m chasis have? | SELECT engine FROM table_name_44 WHERE year = 1951 AND chassis = "alfa romeo 159m" | SELECT "engine" FROM "table_name_44" WHERE "alfa romeo 159m" = "chassis" AND "year" = 1951 | 0.087891 |
CREATE TABLE table_name_72 (genre VARCHAR2, developer VARCHAR2, publisher VARCHAR2, year VARCHAR2)
| Which Genre was published by Atari and developed by NuFX in 1991? | SELECT genre FROM table_name_72 WHERE publisher = "atari" AND year = 1991 AND developer = "nufx" | SELECT "genre" FROM "table_name_72" WHERE "atari" = "publisher" AND "developer" = "nufx" AND "year" = 1991 | 0.103516 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| what are the four most frequent procedure that patients have received during the same month after they have received a non-invasive mech vent procedure? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'non-invasive mech vent')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 4) | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."icd9_code", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id"), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'non-invasive mech vent' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.018555 |
CREATE TABLE table_46553 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| what is the total when bronze is 0 and the nation is hungary? | SELECT MAX("Total") FROM table_46553 WHERE "Bronze" = '0' AND "Nation" = 'hungary' | SELECT MAX("Total") FROM "table_46553" WHERE "Bronze" = '0' AND "Nation" = 'hungary' | 0.082031 |
CREATE TABLE table_39529 ("Pos." FLOAT, "Car #" FLOAT, "Driver" CLOB, "Make" CLOB, "Team" CLOB)
| Which Team has a Pos larger than 3, and a Make of toyota, and a Car # smaller than 59, and a Driver of mike skinner? | SELECT "Team" FROM table_39529 WHERE "Pos." > '3' AND "Make" = 'toyota' AND "Car #" < '59' AND "Driver" = 'mike skinner' | SELECT "Team" FROM "table_39529" WHERE "Car #" < '59' AND "Driver" = 'mike skinner' AND "Make" = 'toyota' AND "Pos." > '3' | 0.119141 |
CREATE TABLE table_32735 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the largest crowd when st kilda was the away team? | SELECT MAX("Crowd") FROM table_32735 WHERE "Away team" = 'st kilda' | SELECT MAX("Crowd") FROM "table_32735" WHERE "Away team" = 'st kilda' | 0.067383 |
CREATE TABLE table_68210 ("Number" FLOAT, "Name of the song" CLOB, "Singer" CLOB, "Drama" CLOB, "Kind of the song" CLOB)
| Which song has a ending theme, and is sung by miriam yeung? | SELECT "Name of the song" FROM table_68210 WHERE "Kind of the song" = 'ending theme' AND "Singer" = 'miriam yeung' | SELECT "Name of the song" FROM "table_68210" WHERE "Kind of the song" = 'ending theme' AND "Singer" = 'miriam yeung' | 0.113281 |
CREATE TABLE table_name_27 (total NUMBER, gold VARCHAR2, bronze VARCHAR2, nation VARCHAR2)
| What is the sum of all total medals with more than 2 bronze medals and more than 1 gold medal for the United States? | SELECT SUM(total) FROM table_name_27 WHERE bronze > 2 AND nation = "united states" AND gold > 1 | SELECT SUM("total") FROM "table_name_27" WHERE "bronze" > 2 AND "gold" > 1 AND "nation" = "united states" | 0.102539 |
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity CLOB, other_item_details CLOB)
CREATE TABLE invoice_items (invoice_item_id NUMBER, invoice_id NUMBER, order_id NUMBER, order_item_id NUMBER, product_id NUMBER, order_quantity NUMBER, other_item_details CLOB)
CREATE TABLE invoices (invoice_id NUMBER, order_id NUMBER, payment_method_code CLOB, product_id NUMBER, order_quantity CLOB, other_item_details CLOB, order_item_id NUMBER)
CREATE TABLE performers (performer_id NUMBER, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE ref_payment_methods (payment_method_code CLOB, payment_method_description CLOB)
CREATE TABLE addresses (address_id CLOB, line_1 CLOB, line_2 CLOB, city_town CLOB, state_county CLOB, other_details CLOB)
CREATE TABLE clients (client_id NUMBER, address_id NUMBER, customer_email_address CLOB, customer_name CLOB, customer_phone CLOB, other_details CLOB)
CREATE TABLE bookings_services (order_id NUMBER, product_id NUMBER)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE stores (store_id CLOB, address_id NUMBER, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE bookings (booking_id NUMBER, customer_id NUMBER, workshop_group_id CLOB, status_code CLOB, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE ref_service_types (service_type_code CLOB, parent_service_type_code CLOB, service_type_description CLOB)
CREATE TABLE customers (customer_id CLOB, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE drama_workshop_groups (workshop_group_id NUMBER, address_id NUMBER, currency_code CLOB, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE marketing_regions (marketing_region_code CLOB, marketing_region_name CLOB, marketing_region_descriptrion CLOB, other_details CLOB)
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, workshop_group_id NUMBER, product_description CLOB, product_name CLOB, product_price NUMBER, other_product_service_details CLOB)
CREATE TABLE products (product_id CLOB, product_name CLOB, product_price NUMBER, product_description CLOB, other_product_service_details CLOB)
CREATE TABLE performers_in_bookings (order_id NUMBER, performer_id NUMBER)
| Show the names of all the clients with no booking. | SELECT customer_name FROM clients EXCEPT SELECT T2.customer_name FROM bookings AS T1 JOIN clients AS T2 ON T1.customer_id = T2.client_id | SELECT "customer_name" FROM "clients" EXCEPT SELECT "T2"."customer_name" FROM "bookings" "T1" JOIN "clients" "T2" ON "T1"."customer_id" = "T2"."client_id" | 0.150391 |
CREATE TABLE table_203_790 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "attendance" NUMBER)
| what was the date that had the least attendance ? | SELECT "date" FROM table_203_790 ORDER BY "attendance" LIMIT 1 | SELECT "date" FROM "table_203_790" ORDER BY "attendance" FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE table_30197 ("Sponsored name" CLOB, "Non-sponsored name" CLOB, "Sponsor" CLOB, "Stadium" CLOB, "City" CLOB, "Country" CLOB, "Sport" CLOB, "Sponsorship Ended" FLOAT)
| What cities are in sweden on this list? | SELECT "City" FROM table_30197 WHERE "Country" = 'Sweden' | SELECT "City" FROM "table_30197" WHERE "Country" = 'Sweden' | 0.057617 |
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 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)
| how many patients are diagnosed with primary disease bowel obstruction and with admission year before 2162? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION" AND demographic.admityear < "2162" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2162" > "demographic"."admityear" AND "BOWEL OBSTRUCTION" = "demographic"."diagnosis" | 0.157227 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| count the number of patients whose diagnoses long title is embolism and thrombosis of iliac artery and lab test abnormal status is delta? | 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.long_title = "Embolism and thrombosis of iliac artery" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Embolism and thrombosis of iliac artery" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.285156 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients born before 2101 who take prescription for mexiletine drug? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2101" AND prescriptions.drug = "Mexiletine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Mexiletine" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2101" > "demographic"."dob_year" | 0.220703 |
CREATE TABLE table_204_255 (id NUMBER, "constituency number" NUMBER, "name" CLOB, "reserved for ( sc/st/none ) " CLOB, "district" CLOB, "number of electorates ( 2009 ) " NUMBER)
| the number of electorates represented in the niwari segment is more than those in which other segment ? | SELECT "name" FROM table_204_255 WHERE "number of electorates (2009)" < (SELECT "number of electorates (2009)" FROM table_204_255 WHERE "name" = 'niwari') | SELECT "name" FROM "table_204_255" WHERE "number of electorates (2009)" < (SELECT "number of electorates (2009)" FROM "table_204_255" WHERE "name" = 'niwari') | 0.154297 |
CREATE TABLE table_name_55 (high_rebounds VARCHAR2, score VARCHAR2)
| Who had the high rebounds when the score was l 85 102 (ot)? | SELECT high_rebounds FROM table_name_55 WHERE score = "l 85–102 (ot)" | SELECT "high_rebounds" FROM "table_name_55" WHERE "l 85–102 (ot)" = "score" | 0.073242 |
CREATE TABLE table_name_42 (laps NUMBER, rider VARCHAR2)
| What is the average of laps ridden by Toni Elias? | SELECT AVG(laps) FROM table_name_42 WHERE rider = "toni elias" | SELECT AVG("laps") FROM "table_name_42" WHERE "rider" = "toni elias" | 0.066406 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who was hired before 2002-06-21, show me about the distribution of hire_date and the average of salary bin hire_date by time in a bar chart. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
CREATE TABLE mission (mission_id NUMBER, ship_id NUMBER, code CLOB, launched_year NUMBER, location CLOB, speed_knots NUMBER, fate CLOB)
CREATE TABLE ship (ship_id NUMBER, name CLOB, type CLOB, nationality CLOB, tonnage NUMBER)
| What are the mission codes, fates, and names of the ships involved? | SELECT T1.code, T1.fate, T2.name FROM mission AS T1 JOIN ship AS T2 ON T1.ship_id = T2.ship_id | SELECT "T1"."code", "T1"."fate", "T2"."name" FROM "mission" "T1" JOIN "ship" "T2" ON "T1"."ship_id" = "T2"."ship_id" | 0.113281 |
CREATE TABLE table_10122 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| For ranks over 2 with Golds over 6 and Silvers over 5 what would be the lowest qualifying Total? | SELECT MIN("Total") FROM table_10122 WHERE "Gold" > '6' AND "Rank" > '2' AND "Silver" > '5' | SELECT MIN("Total") FROM "table_10122" WHERE "Gold" > '6' AND "Rank" > '2' AND "Silver" > '5' | 0.09082 |
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Reciprocal accepting of answers for user questions. | WITH questions AS (SELECT p1.OwnerUserId AS question_userid, p2.OwnerUserId AS answer_userid, p1.Id FROM Posts AS p1 INNER JOIN Posts AS p2 ON p1.AcceptedAnswerId = p2.Id) SELECT q1.question_userid AS userid1, q1.answer_userid AS userid2, q1.Id, q2.Id FROM questions AS q1 INNER JOIN questions AS q2 ON q1.question_userid = q2.answer_userid AND q1.answer_userid = q2.question_userid AND q1.question_userid != q1.answer_userid | WITH "questions" AS (SELECT "p1"."OwnerUserId" AS "question_userid", "p2"."OwnerUserId" AS "answer_userid", "p1"."Id" FROM "Posts" "p1" JOIN "Posts" "p2" ON "p1"."AcceptedAnswerId" = "p2"."Id") SELECT "q1"."question_userid" AS "userid1", "q1"."answer_userid" AS "userid2", "q1"."Id", "q2"."Id" FROM "questions" "q1" JOIN "questions" "q2" ON "q1"."answer_userid" <> "q1"."question_userid" AND "q1"."answer_userid" = "q2"."question_userid" AND "q1"."question_userid" = "q2"."answer_userid" | 0.475586 |
CREATE TABLE table_204_185 (id NUMBER, "location" CLOB, "town" CLOB, "output ( mw ac ) " NUMBER, "modules" NUMBER, "number of arrays" NUMBER)
| there is at least how many locations ? | SELECT COUNT("location") FROM table_204_185 | SELECT COUNT("location") FROM "table_204_185" | 0.043945 |
CREATE TABLE artist (name VARCHAR2, artist_id VARCHAR2)
CREATE TABLE exhibition (exhibition_id VARCHAR2, artist_id VARCHAR2)
CREATE TABLE exhibition_record (exhibition_id VARCHAR2, attendance NUMBER)
| Show all artist names with an average exhibition attendance over 200. | SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING AVG(T1.attendance) > 200 | SELECT "T3"."name" FROM "exhibition_record" "T1" JOIN "exhibition" "T2" ON "T1"."exhibition_id" = "T2"."exhibition_id" JOIN "artist" "T3" ON "T2"."artist_id" = "T3"."artist_id" GROUP BY "T3"."artist_id" HAVING AVG("T1"."attendance") > 200 | 0.232422 |
CREATE TABLE table_52786 ("Tournament" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Score" CLOB, "Third Place" CLOB)
| Who is the runner up when the score was 3 6, 6 3, [10 4]? | SELECT "Runner-up" FROM table_52786 WHERE "Score" = '3–6, 6–3, [10–4]' | SELECT "Runner-up" FROM "table_52786" WHERE "Score" = '3–6, 6–3, [10–4]' | 0.070313 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| for the first time , when was patient 80119 prescribed for talc (sterile)? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 80119) AND prescriptions.drug = 'talc (sterile)' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 80119 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'talc (sterile)' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.370117 |
CREATE TABLE suppliers (supplier_id NUMBER, supplier_name CLOB, supplier_phone CLOB)
CREATE TABLE supplier_addresses (supplier_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE product_suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from TIME, date_supplied_to TIME, total_amount_purchased CLOB, total_value_purchased NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_gender CLOB, staff_name CLOB)
CREATE TABLE customers (customer_id NUMBER, payment_method_code CLOB, customer_code CLOB, customer_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB)
CREATE TABLE products (product_id NUMBER, product_type_code CLOB, product_name CLOB, product_price NUMBER)
CREATE TABLE staff_department_assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from TIME, job_title_code CLOB, date_assigned_to TIME)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE departments (department_id NUMBER, dept_store_id NUMBER, department_name CLOB)
CREATE TABLE department_stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name CLOB, store_address CLOB, store_phone CLOB, store_email CLOB)
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status_code CLOB, order_date TIME)
CREATE TABLE department_store_chain (dept_store_chain_id NUMBER, dept_store_chain_name CLOB)
| List the names of all the distinct customers who bought a keyboard. | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id JOIN products AS T4 ON T3.product_id = T4.product_id WHERE T4.product_name = "keyboard" | SELECT DISTINCT "T1"."customer_name" FROM "customers" "T1" JOIN "customer_orders" "T2" ON "T1"."customer_id" = "T2"."customer_id" JOIN "order_items" "T3" ON "T2"."order_id" = "T3"."order_id" JOIN "products" "T4" ON "T3"."product_id" = "T4"."product_id" AND "T4"."product_name" = "keyboard" | 0.282227 |
CREATE TABLE table_name_87 (score VARCHAR2)
| What score has 15.0% as the 2012? | SELECT score FROM table_name_87 WHERE 2012 = "15.0%" | SELECT "score" FROM "table_name_87" WHERE "15.0%" = 2012 | 0.054688 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 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 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| calculate the number of visits to patient 72647's hospital since 2102. | SELECT COUNT(DISTINCT admissions.hadm_id) FROM admissions WHERE admissions.subject_id = 72647 AND STRFTIME('%y', admissions.admittime) >= '2102' | SELECT COUNT(DISTINCT "admissions"."hadm_id") FROM "admissions" WHERE "admissions"."subject_id" = 72647 AND STRFTIME('%y', "admissions"."admittime") >= '2102' | 0.154297 |
CREATE TABLE table_dev_40 ("id" NUMBER, "tc" NUMBER, "ldl_cholesterol" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "untreated_hyperlipidemia" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "platelets" NUMBER, "neutropenia" NUMBER, "thrombocytopenia" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "tgc" NUMBER, "lymphopenia" NUMBER, "insulin_requirement" FLOAT, "ldl" NUMBER, "fasting_serum_lipoprotein" BOOLEAN, "triglyceride_tg" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| fasting serum lipoprotein values of: ldl _ cholesterol, > 160 mg / dl or triglycerides, > 500 mg / dl | SELECT * FROM table_dev_40 WHERE fasting_serum_lipoprotein = 1 OR ldl_cholesterol > 160 OR triglyceride_tg > 500 | SELECT * FROM "table_dev_40" WHERE "fasting_serum_lipoprotein" = 1 OR "ldl_cholesterol" > 160 OR "triglyceride_tg" > 500 | 0.117188 |
CREATE TABLE table_1132600_3 (fastest_lap VARCHAR2, grand_prix VARCHAR2)
| Who had the fastest lap in the Belgian Grand Prix? | SELECT fastest_lap FROM table_1132600_3 WHERE grand_prix = "Belgian grand_prix" | SELECT "fastest_lap" FROM "table_1132600_3" WHERE "Belgian grand_prix" = "grand_prix" | 0.083008 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 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)
| what is the name of the treatment that patient 17237 had been given two times in 05/last year? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 17237) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', procedures_icd.charttime) = '05' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 17237 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "procedures_icd"."charttime") = '05' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" = 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.776367 |
CREATE TABLE table_name_14 (year_born NUMBER, current_club VARCHAR2, height VARCHAR2)
| Name the sum of year for olimpija ljubljana with height less than 2.04 | SELECT SUM(year_born) FROM table_name_14 WHERE current_club = "olimpija ljubljana" AND height < 2.04 | SELECT SUM("year_born") FROM "table_name_14" WHERE "current_club" = "olimpija ljubljana" AND "height" < 2.04 | 0.105469 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what's is darbepoetin alfa's price? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'treatment' AND cost.eventid IN (SELECT treatment.treatmentid FROM treatment WHERE treatment.treatmentname = 'darbepoetin alfa') | WITH "_u_0" AS (SELECT "treatment"."treatmentid" FROM "treatment" WHERE "treatment"."treatmentname" = 'darbepoetin alfa' GROUP BY "treatmentid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'treatment' AND NOT "_u_0"."" IS NULL | 0.299805 |
CREATE TABLE table_name_64 (event VARCHAR2, method VARCHAR2, round VARCHAR2, location VARCHAR2)
| What is Event, when Round is '1', when Location is 'Osaka , Japan', and when Method is 'TKO (corner stoppage)'? | SELECT event FROM table_name_64 WHERE round = "1" AND location = "osaka , japan" AND method = "tko (corner stoppage)" | SELECT "event" FROM "table_name_64" WHERE "1" = "round" AND "location" = "osaka , japan" AND "method" = "tko (corner stoppage)" | 0.124023 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is primary disease and procedure short title of subject id 9258? | SELECT demographic.diagnosis, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "9258" | SELECT "demographic"."diagnosis", "procedures"."short_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "9258" = "demographic"."subject_id" | 0.186523 |
CREATE TABLE table_21951 ("Parish ( Prestegjeld ) " CLOB, "Sub-Parish ( Sokn ) " CLOB, "Church Name" CLOB, "Year Built" CLOB, "Location of the Church" CLOB)
| In what parish is the Askrova Bedehuskapell church? | SELECT "Parish (Prestegjeld)" FROM table_21951 WHERE "Church Name" = 'Askrova bedehuskapell' | SELECT "Parish (Prestegjeld)" FROM "table_21951" WHERE "Church Name" = 'Askrova bedehuskapell' | 0.091797 |
CREATE TABLE table_name_36 (capacity VARCHAR2, code VARCHAR2)
| what is the capacity when the code is d4f bi-fuel 732? | SELECT capacity FROM table_name_36 WHERE code = "d4f bi-fuel 732" | SELECT "capacity" FROM "table_name_36" WHERE "code" = "d4f bi-fuel 732" | 0.069336 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
| A bar chart showing the number of male and female faculty, and could you show by the x-axis in asc? | SELECT Sex, COUNT(*) FROM Faculty GROUP BY Sex ORDER BY Sex | SELECT "Sex", COUNT(*) FROM "Faculty" GROUP BY "Sex" ORDER BY "Sex" | 0.06543 |
CREATE TABLE table_17522 ("Round" FLOAT, "Date" CLOB, "Grand Prix" CLOB, "Circuit" CLOB, "125cc winner" CLOB, "250cc winner" CLOB, "MotoGP winner" CLOB, "Report" CLOB)
| Who is the Motogp winnder for the Catalunya Circuit? | SELECT "MotoGP winner" FROM table_17522 WHERE "Circuit" = 'Catalunya' | SELECT "MotoGP winner" FROM "table_17522" WHERE "Circuit" = 'Catalunya' | 0.069336 |
CREATE TABLE table_11703336_1 (display_size VARCHAR2, year_released VARCHAR2)
| what is the display size for the calculator released in 1997? | SELECT display_size FROM table_11703336_1 WHERE year_released = "1997" | SELECT "display_size" FROM "table_11703336_1" WHERE "1997" = "year_released" | 0.074219 |
CREATE TABLE table_train_101 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "uncontrolled_diabetes" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "allergy_to_contrast_agent_gadolinium" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "hypotension" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| poorly managed hypertension ( systolic > 160 mm hg and / or diastolic > 95 mm hg ) or hypotension ( systolic < 90 mm hg and / or diastolic < 60 mm hg ) | SELECT * FROM table_train_101 WHERE (hypertension = 1 OR (systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 95)) OR (hypotension = 1 OR (systolic_blood_pressure_sbp < 90 OR diastolic_blood_pressure_dbp < 60)) | SELECT * FROM "table_train_101" WHERE "diastolic_blood_pressure_dbp" < 60 OR "diastolic_blood_pressure_dbp" > 95 OR "hypertension" = 1 OR "hypotension" = 1 OR "systolic_blood_pressure_sbp" < 90 OR "systolic_blood_pressure_sbp" > 160 | 0.226563 |
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 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)
| give me the number of patients whose diagnoses short title is epistaxis and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Epistaxis" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Epistaxis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.264648 |
CREATE TABLE table_42653 ("Position" CLOB, "Jersey #" FLOAT, "Name" CLOB, "Height ( cm ) " FLOAT, "Weight ( kg ) " FLOAT, "Birthdate" CLOB, "Birthplace" CLOB, "2000\\u20132001 Team" CLOB, "NHL rights" CLOB)
| What is the 2000-2001 Team with a Jersey # that is 19? | SELECT "2000\u20132001 Team" FROM table_42653 WHERE "Jersey #" = '19' | SELECT "2000\u20132001 Team" FROM "table_42653" WHERE "Jersey #" = '19' | 0.069336 |
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| Questions tagged with mediawiki. | SELECT * FROM Posts WHERE PostTypeId = 1 AND Tags LIKE '%mediawiki%' | SELECT * FROM "Posts" WHERE "PostTypeId" = 1 AND "Tags" LIKE '%mediawiki%' | 0.072266 |
CREATE TABLE table_59711 ("Initial-syllable open/semi-open unstressed vowels" CLOB, "17th c." CLOB, "American" CLOB, "British" CLOB, "Australian" CLOB, "Examples" CLOB)
| What is 17th c., when Initial-Syllable Open/Semi-Open Unstressed Vowels is 'o / /'? | SELECT "17th c." FROM table_59711 WHERE "Initial-syllable open/semi-open unstressed vowels" = 'o /ɵ/' | SELECT "17th c." FROM "table_59711" WHERE "Initial-syllable open/semi-open unstressed vowels" = 'o /ɵ/' | 0.100586 |
CREATE TABLE table_66371 ("Constituency number" CLOB, "Name" CLOB, "Reserved for ( SC / ST /None ) " CLOB, "District" CLOB, "Number of electorates ( 2009 ) " FLOAT)
| What is the district with more than 1,246,756 electorates and a constituency number of 191? | SELECT "District" FROM table_66371 WHERE "Number of electorates (2009)" > '1,246,756' AND "Constituency number" = '191' | SELECT "District" FROM "table_66371" WHERE "Constituency number" = '191' AND "Number of electorates (2009)" > '1,246,756' | 0.118164 |
CREATE TABLE table_204_378 (id NUMBER, "no" NUMBER, "driver" CLOB, "entrant" CLOB, "constructor" CLOB, "chassis" CLOB, "engine" CLOB, "tyre" CLOB)
| what is the total number of drivers on the chart ? | SELECT COUNT("driver") FROM table_204_378 | SELECT COUNT("driver") FROM "table_204_378" | 0.041992 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
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)
| Show me about the distribution of name and meter_100 in a bar chart, rank y axis in desc order please. | SELECT name, meter_100 FROM swimmer ORDER BY meter_100 DESC | SELECT "name", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC | 0.06543 |
CREATE TABLE table_17341 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many times was the final score l 96 123 (ot)? | SELECT COUNT("Record") FROM table_17341 WHERE "Score" = 'L 96–123 (OT)' | SELECT COUNT("Record") FROM "table_17341" WHERE "Score" = 'L 96–123 (OT)' | 0.071289 |
CREATE TABLE table_name_51 (record VARCHAR2, opponent VARCHAR2)
| What is the Winnipeg Jets record? | SELECT record FROM table_name_51 WHERE opponent = "winnipeg jets" | SELECT "record" FROM "table_name_51" WHERE "opponent" = "winnipeg jets" | 0.069336 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| which lab test has been ordered for patient with patient id 19187? | SELECT lab.label FROM lab WHERE lab.subject_id = "19187" | SELECT "lab"."label" FROM "lab" WHERE "19187" = "lab"."subject_id" | 0.064453 |
CREATE TABLE table_68097 ("Year" FLOAT, "Group" CLOB, "Award" CLOB, "Film/Show" CLOB, "Result" CLOB)
| After 2008, which Group has the Result, nominated, and the Award, Best Lead Actor in a Television Drama? | SELECT "Group" FROM table_68097 WHERE "Result" = 'nominated' AND "Year" > '2008' AND "Award" = 'best lead actor in a television drama' | SELECT "Group" FROM "table_68097" WHERE "Award" = 'best lead actor in a television drama' AND "Result" = 'nominated' AND "Year" > '2008' | 0.132813 |
CREATE TABLE table_60119 ("Rank" FLOAT, "Club" CLOB, "Season" CLOB, "Goals" FLOAT, "Apps" FLOAT)
| Which Season has a Rank smaller than 4, and a Club of barcelona, and less than 115 goals? | SELECT "Season" FROM table_60119 WHERE "Rank" < '4' AND "Club" = 'barcelona' AND "Goals" < '115' | SELECT "Season" FROM "table_60119" WHERE "Club" = 'barcelona' AND "Goals" < '115' AND "Rank" < '4' | 0.095703 |
CREATE TABLE table_name_7 (year NUMBER, expenditure VARCHAR2, income VARCHAR2)
| Which Year has an Expenditure of 55, and an Income smaller than 36.2? | SELECT MIN(year) FROM table_name_7 WHERE expenditure = 55 AND income < 36.2 | SELECT MIN("year") FROM "table_name_7" WHERE "expenditure" = 55 AND "income" < 36.2 | 0.081055 |
CREATE TABLE table_20001 ("Year" CLOB, "Dates" CLOB, "Champion" CLOB, "Country" CLOB, "Score" CLOB, "Tournament location" CLOB, "Purse ( $ ) " FLOAT, "Winners share ( $ ) " FLOAT)
| When are all dates with a score of 205 ( 8) in Australia? | SELECT "Dates" FROM table_20001 WHERE "Score" = '205 (–8)' AND "Country" = 'Australia' | SELECT "Dates" FROM "table_20001" WHERE "Country" = 'Australia' AND "Score" = '205 (–8)' | 0.085938 |
CREATE TABLE table_33645 ("Season" FLOAT, "Series Name" CLOB, "Champion" CLOB, "Races \\u2020" CLOB, "Pole Positions" CLOB, "Wins" CLOB, "Podiums" CLOB, "Fastest Laps" CLOB, "Points" CLOB, "Margin ( pts ) " CLOB)
| For the 12/12 races, what is the fastest lap? | SELECT "Fastest Laps" FROM table_33645 WHERE "Races \u2020" = '12/12' | SELECT "Fastest Laps" FROM "table_33645" WHERE "Races \u2020" = '12/12' | 0.069336 |
CREATE TABLE table_27969432_4 (us_viewers__in_millions_ VARCHAR2, no_in_season VARCHAR2)
| How many viewers in millions were there for episode 4 of this season? | SELECT COUNT(us_viewers__in_millions_) FROM table_27969432_4 WHERE no_in_season = 4 | SELECT COUNT("us_viewers__in_millions_") FROM "table_27969432_4" WHERE "no_in_season" = 4 | 0.086914 |
CREATE TABLE table_23804 ("BSE Code" CLOB, "Company" CLOB, "City" CLOB, "GICS Sector" CLOB, "Free float" CLOB, "Index weighting ( %" CLOB)
| What is every BSE code for a free float of 0.2726? | SELECT "BSE Code" FROM table_23804 WHERE "Free float" = '0.2726' | SELECT "BSE Code" FROM "table_23804" WHERE "Free float" = '0.2726' | 0.064453 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| patient 030-34260 has received a diagnosis in their current hospital encounter? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-34260' AND patient.hospitaldischargetime IS NULL)) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '030-34260' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL | 0.523438 |
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| Visualize a bar chart for what are the names and damage in millions for storms, ordered by their max speeds descending? | SELECT Name, Damage_millions_USD FROM storm ORDER BY Max_speed DESC | SELECT "Name", "Damage_millions_USD" FROM "storm" ORDER BY "Max_speed" DESC | 0.073242 |
CREATE TABLE table_204_103 (id NUMBER, "medal" CLOB, "name" CLOB, "sport" CLOB, "event" CLOB)
| how many total silver medals did india win ? | SELECT COUNT("medal") FROM table_204_103 | SELECT COUNT("medal") FROM "table_204_103" | 0.041016 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| how many days has passed since the last time patient 18866 on the current intensive care unit visit took a lactated ringers intake? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', inputevents_cv.charttime)) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 18866) AND icustays.outtime IS NULL) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'lactated ringers' AND d_items.linksto = 'inputevents_cv') ORDER BY inputevents_cv.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 18866 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 "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'lactated ringers' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "inputevents_cv"."charttime")) FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "inputevents_cv"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.833984 |
CREATE TABLE table_203_561 (id NUMBER, "pos" NUMBER, "team" CLOB, "total" NUMBER, "high" NUMBER, "low" NUMBER, "average" NUMBER, "change" CLOB)
| list the top 5 teams within highest total . | SELECT "team" FROM table_203_561 ORDER BY "total" DESC LIMIT 5 | SELECT "team" FROM "table_203_561" ORDER BY "total" DESC FETCH FIRST 5 ROWS ONLY | 0.078125 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, visualize a scatter chart about the correlation between manufacturer and code , and group by attribute headquarter. | SELECT T1.Manufacturer, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter | SELECT "T1"."Manufacturer", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" | 0.142578 |
CREATE TABLE table_24768 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original airdate" CLOB, "U.S. viewers ( millions ) " CLOB)
| What number episode in the series was watched by 15.89 million U.S. viewers? | SELECT "No. in series" FROM table_24768 WHERE "U.S. viewers (millions)" = '15.89' | SELECT "No. in series" FROM "table_24768" WHERE "U.S. viewers (millions)" = '15.89' | 0.081055 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| provide the number of patients whose admission type is newborn and item id is 50964? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.itemid = "50964" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50964" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.197266 |
CREATE TABLE table_49144 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| How many total rounds used the submission (choke) method? | SELECT SUM("Round") FROM table_49144 WHERE "Method" = 'submission (choke)' | SELECT SUM("Round") FROM "table_49144" WHERE "Method" = 'submission (choke)' | 0.074219 |
CREATE TABLE table_26824 ("Date" CLOB, "Cover model" CLOB, "Centerfold model" CLOB, "Interview subject" CLOB, "20 Questions" CLOB, "Pictorials" CLOB)
| What date did Dax Shepard play 20 questions? | SELECT "Date" FROM table_26824 WHERE "20 Questions" = 'Dax Shepard' | SELECT "Date" FROM "table_26824" WHERE "20 Questions" = 'Dax Shepard' | 0.067383 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
| How many male and female assistant professors do we have, list y axis in ascending order. | SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex ORDER BY COUNT(*) | SELECT "Sex", COUNT(*) FROM "Faculty" WHERE "AsstProf" = "Rank" GROUP BY "Sex" ORDER BY COUNT(*) | 0.09375 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| What is the relationship between support and oppose rates of each candidate? | SELECT Support_rate, Oppose_rate FROM candidate | SELECT "Support_rate", "Oppose_rate" FROM "candidate" | 0.051758 |
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what are the ways to consume betamethasone dipro 0.05% oint? | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'betamethasone dipro 0.05% oint' | SELECT DISTINCT "prescriptions"."route" FROM "prescriptions" WHERE "prescriptions"."drug" = 'betamethasone dipro 0.05% oint' | 0.121094 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| when was the first time that patient 016-26907 had volume (ml) dopamine intake until 11/22/2102? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-26907')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'volume (ml) dopamine' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2102-11-22' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-26907' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'volume (ml) dopamine' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2102-11-22' ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY | 0.744141 |
CREATE TABLE table_train_254 ("id" NUMBER, "gender" CLOB, "systolic_blood_pressure_sbp" NUMBER, "heart_disease" BOOLEAN, "hgba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "diabetes" BOOLEAN, "hypertension" BOOLEAN, "fasting_glucose" NUMBER, "NOUSE" FLOAT)
| fasting glucose 126 _ 270 mg / dl | SELECT * FROM table_train_254 WHERE fasting_glucose >= 126 AND fasting_glucose <= 270 | SELECT * FROM "table_train_254" WHERE "fasting_glucose" <= 270 AND "fasting_glucose" >= 126 | 0.088867 |
CREATE TABLE table_39475 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Location" CLOB, "Time ( ET ) " CLOB, "Result" CLOB, "Record" CLOB)
| What is the date of the game at Arrowhead Stadium? | SELECT "Date" FROM table_39475 WHERE "Location" = 'arrowhead stadium' | SELECT "Date" FROM "table_39475" WHERE "Location" = 'arrowhead stadium' | 0.069336 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
| A bar chart for listing the number of the name of technicians whose team is not 'NYY', I want to display from low to high by the X. | SELECT Name, COUNT(Name) FROM technician WHERE Team <> "NYY" GROUP BY Name ORDER BY Name | SELECT "Name", COUNT("Name") FROM "technician" WHERE "NYY" <> "Team" GROUP BY "Name" ORDER BY "Name" | 0.097656 |
CREATE TABLE table_name_93 (home_team VARCHAR2)
| What is richmond's score as the home team? | SELECT home_team AS score FROM table_name_93 WHERE home_team = "richmond" | SELECT "home_team" AS "score" FROM "table_name_93" WHERE "home_team" = "richmond" | 0.079102 |
CREATE TABLE table_42060 ("8:00" CLOB, "8:30" CLOB, "9:00" CLOB, "9:30" CLOB, "10:00" CLOB)
| What played at 8:00 when there was local programming at 10:00 and Supernatural played at 9:00? | SELECT "8:00" FROM table_42060 WHERE "10:00" = 'local programming' AND "9:00" = 'supernatural' | SELECT "8:00" FROM "table_42060" WHERE "10:00" = 'local programming' AND "9:00" = 'supernatural' | 0.09375 |
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)
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)
| How many patients are admitted under emergency and treated with cinacalcet? | 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 = "Cinacalcet" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Cinacalcet" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.231445 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is minimum anion gap value of patient 65467? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 65467) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'anion gap') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 65467 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'anion gap' GROUP BY "itemid") SELECT MIN("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.458008 |
CREATE TABLE table_name_7 (frequency_mhz VARCHAR2, city_of_license VARCHAR2)
| What is the frequency of the call sign licensed in Albany, New York? | SELECT frequency_mhz FROM table_name_7 WHERE city_of_license = "albany, new york" | SELECT "frequency_mhz" FROM "table_name_7" WHERE "albany, new york" = "city_of_license" | 0.084961 |
CREATE TABLE table_77165 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| What is the Game number on March 30? | SELECT "Game" FROM table_77165 WHERE "Date" = 'march 30' | SELECT "Game" FROM "table_77165" WHERE "Date" = 'march 30' | 0.056641 |
CREATE TABLE table_18600760_8 (latitude VARCHAR2, geo_id VARCHAR2)
| Name the latitude for 3809935740 | SELECT latitude FROM table_18600760_8 WHERE geo_id = 3809935740 | SELECT "latitude" FROM "table_18600760_8" WHERE "geo_id" = 3809935740 | 0.067383 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose age is less than 45 and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "45" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "45" > "demographic"."age" | 0.180664 |
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 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)
| how many patients whose diagnoses short title is old fb in soft tissue and lab test abnormal status is delta? | 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 = "Old FB in soft tissue" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Old FB in soft tissue" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.268555 |
CREATE TABLE table_name_66 (circuit VARCHAR2, winning_driver VARCHAR2)
| Which circuit did Michael Andretti win? | SELECT circuit FROM table_name_66 WHERE winning_driver = "michael andretti" | SELECT "circuit" FROM "table_name_66" WHERE "michael andretti" = "winning_driver" | 0.079102 |
CREATE TABLE table_name_24 (team VARCHAR2, points_for VARCHAR2)
| What team has a 118 Point for? | SELECT team FROM table_name_24 WHERE points_for = "118" | SELECT "team" FROM "table_name_24" WHERE "118" = "points_for" | 0.05957 |
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