schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
|---|---|---|---|---|
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| when has patient 031-4423 had a microbiology test for the last time in 07/2104? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4423')) AND STRFTIME('%y-%m', microlab.culturetakentime) = '2104-07' ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-4423' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") = '2104-07' ORDER BY "microlab"."culturetakentime" DESC NULLS LAST LIMIT 1 | 0.623047 |
CREATE TABLE table_2160215_1 (original_japanese VARCHAR, english___manga_uk__ VARCHAR)
| Who was the original Japanese cast if Sean Barrett acted on the English (Manga UK) version? | SELECT original_japanese FROM table_2160215_1 WHERE english___manga_uk__ = "Sean Barrett" | SELECT "original_japanese" FROM "table_2160215_1" WHERE "Sean Barrett" = "english___manga_uk__" | 0.092773 |
CREATE TABLE table_204_881 (id DECIMAL, "round" DECIMAL, "date" TEXT, "score" TEXT, "opponent" TEXT, "opponent's score" TEXT, "result" TEXT, "venue" TEXT, "attendance" DECIMAL, "best on ground" TEXT, "team" TEXT)
| who was the opponent after hawthorn ? | SELECT "opponent" FROM table_204_881 WHERE id = (SELECT id FROM table_204_881 WHERE "opponent" = 'hawthorn') + 1 | SELECT "opponent" FROM "table_204_881" WHERE "id" = (SELECT "id" FROM "table_204_881" WHERE "opponent" = 'hawthorn') + 1 | 0.117188 |
CREATE TABLE table_70807 ("Rank" FLOAT, "Fastest time ( s ) " FLOAT, "Wind ( m/s ) " FLOAT, "Athlete" TEXT, "Nation" TEXT, "Date" TEXT, "Location" TEXT)
| what is the highest rank in dresden with a time faster than 10.88? | SELECT MAX("Rank") FROM table_70807 WHERE "Location" = 'dresden' AND "Fastest time (s)" < '10.88' | SELECT MAX("Rank") FROM "table_70807" WHERE "Fastest time (s)" < '10.88' AND "Location" = 'dresden' | 0.09668 |
CREATE TABLE table_name_31 (first_day_cover_cancellation VARCHAR, design VARCHAR)
| What is the first day cover cancellation for the Karen Smith Design stamp? | SELECT first_day_cover_cancellation FROM table_name_31 WHERE design = "karen smith design" | SELECT "first_day_cover_cancellation" FROM "table_name_31" WHERE "design" = "karen smith design" | 0.09375 |
CREATE TABLE table_1007688_1 (typhoid_fever VARCHAR, year VARCHAR)
| what is the typhoid fever number for the year 1934 | SELECT typhoid_fever FROM table_1007688_1 WHERE year = "1934" | SELECT "typhoid_fever" FROM "table_1007688_1" WHERE "1934" = "year" | 0.06543 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| provide the number of patients whose diagnoses short title is peritonitis nos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Peritonitis NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Peritonitis NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.181641 |
CREATE TABLE table_200_1 (id DECIMAL, "year" DECIMAL, "title" TEXT, "role" TEXT, "notes" TEXT)
| what year was the film polio water released ? | SELECT "year" FROM table_200_1 WHERE "title" = 'polio water' | SELECT "year" FROM "table_200_1" WHERE "title" = 'polio water' | 0.060547 |
CREATE TABLE genres (id DECIMAL, name TEXT)
CREATE TABLE tracks (id DECIMAL, name TEXT, album_id DECIMAL, media_type_id DECIMAL, genre_id DECIMAL, composer TEXT, milliseconds DECIMAL, bytes DECIMAL, unit_price DECIMAL)
CREATE TABLE playlists (id DECIMAL, name TEXT)
CREATE TABLE media_types (id DECIMAL, name TEXT)
CREATE TABLE employees (id DECIMAL, last_name TEXT, first_name TEXT, title TEXT, reports_to DECIMAL, birth_date TIME, hire_date TIME, address TEXT, city TEXT, state TEXT, country TEXT, postal_code TEXT, phone TEXT, fax TEXT, email TEXT)
CREATE TABLE invoices (id DECIMAL, customer_id DECIMAL, invoice_date TIME, billing_address TEXT, billing_city TEXT, billing_state TEXT, billing_country TEXT, billing_postal_code TEXT, total DECIMAL)
CREATE TABLE sqlite_sequence (name TEXT, seq TEXT)
CREATE TABLE customers (id DECIMAL, first_name TEXT, last_name TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postal_code TEXT, phone TEXT, fax TEXT, email TEXT, support_rep_id DECIMAL)
CREATE TABLE playlist_tracks (playlist_id DECIMAL, track_id DECIMAL)
CREATE TABLE artists (id DECIMAL, name TEXT)
CREATE TABLE albums (id DECIMAL, title TEXT, artist_id DECIMAL)
CREATE TABLE invoice_lines (id DECIMAL, invoice_id DECIMAL, track_id DECIMAL, unit_price DECIMAL, quantity DECIMAL)
| List every album's title. | SELECT title FROM albums | SELECT "title" FROM "albums" | 0.027344 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients died in or before 2186 and followed the procedure drsl/dslmb fus post/post? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2186.0" AND procedures.short_title = "Drsl/dslmb fus post/post" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Drsl/dslmb fus post/post" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2186.0" >= "demographic"."dod_year" | 0.235352 |
CREATE TABLE table_21378339_5 (score VARCHAR, artist VARCHAR)
| Name the score for rebeka dremelj | SELECT score FROM table_21378339_5 WHERE artist = "Rebeka Dremelj" | SELECT "score" FROM "table_21378339_5" WHERE "Rebeka Dremelj" = "artist" | 0.070313 |
CREATE TABLE table_72709 ("Season" FLOAT, "Date" TEXT, "Location" TEXT, "Driver" TEXT, "Chassis" TEXT, "Engine" TEXT, "Team" TEXT)
| At which location did Rick Mears drive? | SELECT "Location" FROM table_72709 WHERE "Driver" = 'Rick Mears' | SELECT "Location" FROM "table_72709" WHERE "Driver" = 'Rick Mears' | 0.064453 |
CREATE TABLE table_name_92 (draw VARCHAR, points VARCHAR, rank VARCHAR, performer VARCHAR)
| How much Draw has a Rank of 3rd, and a Performer of noelle, and Points larger than 79? | SELECT COUNT(draw) FROM table_name_92 WHERE rank = "3rd" AND performer = "noelle" AND points > 79 | SELECT COUNT("draw") FROM "table_name_92" WHERE "3rd" = "rank" AND "noelle" = "performer" AND "points" > 79 | 0.104492 |
CREATE TABLE ship (Ship_ID INT, Name TEXT, Type TEXT, Nationality TEXT, Tonnage INT)
CREATE TABLE mission (Mission_ID INT, Ship_ID INT, Code TEXT, Launched_Year INT, Location TEXT, Speed_knots INT, Fate TEXT)
| Show me how many type by type in a histogram, and order in asc by the X. | SELECT Type, COUNT(Type) FROM ship GROUP BY Type ORDER BY Type | SELECT "Type", COUNT("Type") FROM "ship" GROUP BY "Type" ORDER BY "Type" NULLS FIRST | 0.082031 |
CREATE TABLE table_38958 ("Player" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Which Extra points is the lowest one that has a Player of ross kidston, and Points smaller than 5? | SELECT MIN("Extra points") FROM table_38958 WHERE "Player" = 'ross kidston' AND "Points" < '5' | SELECT MIN("Extra points") FROM "table_38958" WHERE "Player" = 'ross kidston' AND "Points" < '5' | 0.09375 |
CREATE TABLE train (Train_ID INT, Train_Num TEXT, Name TEXT, From TEXT, Arrival TEXT, Railway_ID INT)
CREATE TABLE railway_manage (Railway_ID INT, Manager_ID INT, From_Year TEXT)
CREATE TABLE railway (Railway_ID INT, Railway TEXT, Builder TEXT, Built TEXT, Wheels TEXT, Location TEXT, ObjectNumber TEXT)
CREATE TABLE manager (Manager_ID INT, Name TEXT, Country TEXT, Working_year_starts TEXT, Age INT, Level INT)
| A bar chart for showing the number of the countries that have managers of age above 50 or below 46, and list in descending by the Y. | SELECT Country, COUNT(Country) FROM manager WHERE Age > 50 OR Age < 46 GROUP BY Country ORDER BY COUNT(Country) DESC | SELECT "Country", COUNT("Country") FROM "manager" WHERE "Age" < 46 OR "Age" > 50 GROUP BY "Country" ORDER BY COUNT("Country") DESC NULLS LAST | 0.137695 |
CREATE TABLE table_27495 ("Year" FLOAT, "Population" FLOAT, "Index" FLOAT, "Violent" FLOAT, "Property" FLOAT, "Murder" FLOAT, "Forcible rape" FLOAT, "Robbery" FLOAT, "Aggravated assault" FLOAT, "Burglary" FLOAT, "Larceny Theft" FLOAT, "Vehicle Theft" FLOAT)
| What was the largest index the year/s forcible rapes numbered 1084? | SELECT MAX("Index") FROM table_27495 WHERE "Forcible rape" = '1084' | SELECT MAX("Index") FROM "table_27495" WHERE "Forcible rape" = '1084' | 0.067383 |
CREATE TABLE table_13467 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Rank" TEXT, "Wins" FLOAT)
| How many wins did the 500cc class have in 1979? | SELECT "Wins" FROM table_13467 WHERE "Class" = '500cc' AND "Year" = '1979' | SELECT "Wins" FROM "table_13467" WHERE "Class" = '500cc' AND "Year" = '1979' | 0.074219 |
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
| Give me the dates when the max temperature was higher than 85, and count them by a line chart | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f > 85 GROUP BY date | SELECT "date", COUNT("date") FROM "weather" WHERE "max_temperature_f" > 85 GROUP BY "date" | 0.087891 |
CREATE TABLE table_name_17 (opponent VARCHAR, site VARCHAR, score VARCHAR)
| Who was the Opponent at Homewood Field with a Score of 5-8? | SELECT opponent FROM table_name_17 WHERE site = "homewood field" AND score = "5-8" | SELECT "opponent" FROM "table_name_17" WHERE "5-8" = "score" AND "homewood field" = "site" | 0.087891 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is maximum age of patients whose marital status is widowed and death status is 0? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.expire_flag = "0" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "WIDOWED" = "demographic"."marital_status" | 0.133789 |
CREATE TABLE table_name_52 (place VARCHAR, player VARCHAR)
| What is the Place when Steve Pate was the player? | SELECT place FROM table_name_52 WHERE player = "steve pate" | SELECT "place" FROM "table_name_52" WHERE "player" = "steve pate" | 0.063477 |
CREATE TABLE table_5264 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the score in Kathmandu? | SELECT "Score" FROM table_5264 WHERE "Venue" = 'kathmandu' | SELECT "Score" FROM "table_5264" WHERE "Venue" = 'kathmandu' | 0.058594 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| what are the four most commonly given microbiology tests for patients who have received vasopressors - norepinephrine > 0.1 micrograms/kg/min before, within 2 months in 2105? | SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'vasopressors - norepinephrine > 0.1 micrograms/kg/min' AND STRFTIME('%y', treatment.treatmenttime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', microlab.culturetakentime) = '2105') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.culturetakentime AND DATETIME(t2.culturetakentime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "microlab"."culturetakentime") = '2105'), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" AS "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."culturetakentime" > "treatment"."treatmenttime" AND DATETIME("t2"."culturetakentime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."culturetakentime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'vasopressors - norepinephrine > 0.1 micrograms/kg/min' AND STRFTIME('%y', "treatment"."treatmenttime") = '2105' GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 0.96582 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients have stayed in the hospital for more than 1 day? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.days_stay > "1" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" < "demographic"."days_stay" | 0.103516 |
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
| Is there a prerequisite for many other courses that I can take this semester ? | SELECT COUNT(DISTINCT COURSE_PREREQUISITEalias0.course_id), COURSEalias0.department, COURSEalias0.name, COURSEalias0.number FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course AS COURSEalias1, course_offering AS COURSE_OFFERINGalias0, course_prerequisite AS COURSE_PREREQUISITEalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND COURSEalias0.course_id = COURSE_PREREQUISITEalias0.pre_course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias1.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias1 WHERE NOT COURSE_PREREQUISITEalias1.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias1.course_id = COURSE_PREREQUISITEalias0.course_id AND COURSEalias1.department = 'EECS' AND SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016 GROUP BY COURSE_PREREQUISITEalias0.course_id ORDER BY COUNT(COURSE_PREREQUISITEalias0.course_id) DESC | SELECT COUNT(DISTINCT "COURSE_PREREQUISITEalias0"."course_id"), "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number" FROM "student_record" JOIN "course" AS "COURSEalias0" ON NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias1"."course_id" FROM "course_prerequisite" AS "COURSE_PREREQUISITEalias1" WHERE NOT "COURSE_PREREQUISITEalias1"."pre_course_id" IN ("course_id")) JOIN "course_offering" AS "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "course_prerequisite" AS "COURSE_PREREQUISITEalias0" ON "COURSE_PREREQUISITEalias0"."pre_course_id" = "COURSEalias0"."course_id" JOIN "course" AS "COURSEalias1" ON "COURSE_PREREQUISITEalias0"."course_id" = "COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'EECS' JOIN "semester" AS "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1 GROUP BY "COURSE_PREREQUISITEalias0"."course_id" ORDER BY COUNT("COURSE_PREREQUISITEalias0"."course_id") DESC NULLS LAST | 1.186523 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
| Search question related to mispelling. | SELECT Id, Title, Tags, CreationDate, Score, ViewCount, OwnerUserId, OwnerDisplayName, LastActivityDate, Tags, AnswerCount, CommentCount FROM Posts WHERE CreationDate BETWEEN '2019-04-01 00:00:00' AND '2019-06-01 00:00:00' AND (Title LIKE '%misspelling%') AND ViewCount <= 0 AND PostTypeId = 1 | SELECT "Id", "Title", "Tags", "CreationDate", "Score", "ViewCount", "OwnerUserId", "OwnerDisplayName", "LastActivityDate", "Tags", "AnswerCount", "CommentCount" FROM "Posts" WHERE "CreationDate" <= '2019-06-01 00:00:00' AND "CreationDate" >= '2019-04-01 00:00:00' AND "PostTypeId" = 1 AND "Title" LIKE '%misspelling%' AND "ViewCount" <= 0 | 0.330078 |
CREATE TABLE table_34787 ("Pick #" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| To which college/junior/club team did the player that was Pick 12 belong? | SELECT "College/junior/club team" FROM table_34787 WHERE "Pick #" = '12' | SELECT "College/junior/club team" FROM "table_34787" WHERE "Pick #" = '12' | 0.072266 |
CREATE TABLE table_75443 ("Game" FLOAT, "December" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
| Which Game has a Score of 4 1? | SELECT SUM("Game") FROM table_75443 WHERE "Score" = '4–1' | SELECT SUM("Game") FROM "table_75443" WHERE "Score" = '4–1' | 0.057617 |
CREATE TABLE table_37416 ("Ship" TEXT, "Builder" TEXT, "Laid down" TEXT, "Launched" TEXT, "Commissioned" TEXT)
| The Zeehond was built by whom? | SELECT "Builder" FROM table_37416 WHERE "Ship" = 'zeehond' | SELECT "Builder" FROM "table_37416" WHERE "Ship" = 'zeehond' | 0.058594 |
CREATE TABLE table_name_92 (top_25 VARCHAR, top_10 VARCHAR, cuts_made VARCHAR)
| What is the total number of top-25 with a top-10 bigger than 2 and less than 29 cuts? | SELECT COUNT(top_25) FROM table_name_92 WHERE top_10 > 2 AND cuts_made < 29 | SELECT COUNT("top_25") FROM "table_name_92" WHERE "cuts_made" < 29 AND "top_10" > 2 | 0.081055 |
CREATE TABLE table_3515 ("Episode #" TEXT, "Season Episode #" TEXT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Prod. code" TEXT)
| What is the production code for episode #78? | SELECT "Prod. code" FROM table_3515 WHERE "Episode #" = '78' | SELECT "Prod. code" FROM "table_3515" WHERE "Episode #" = '78' | 0.060547 |
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
| Are 200 -level classes available in Spring or Summer term ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 200 AND 200 + 100 AND semester.semester IN ('SP', 'SU', 'SS') AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('SP', 'SU', 'SS') AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND "course"."number" <= 300 AND "course"."number" >= 200 | 0.432617 |
CREATE TABLE table_203_43 (id DECIMAL, "polling firm" TEXT, "month" TEXT, "link" TEXT, "favor" DECIMAL, "oppose" DECIMAL)
| how many zogby international polls took place in the month of august ? | SELECT COUNT("polling firm") FROM table_203_43 WHERE "polling firm" = 'zogby international' AND "month" = 8 | SELECT COUNT("polling firm") FROM "table_203_43" WHERE "month" = 8 AND "polling firm" = 'zogby international' | 0.106445 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose diagnoses icd9 code is 36201? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "36201" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "36201" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.169922 |
CREATE TABLE table_name_92 (date VARCHAR, tie_no VARCHAR)
| What date has a Tie Number of 4? | SELECT date FROM table_name_92 WHERE tie_no = "4" | SELECT "date" FROM "table_name_92" WHERE "4" = "tie_no" | 0.053711 |
CREATE TABLE table_79508 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" TEXT)
| What is the Date of the game with an attendance of 72,051 after Week 9? | SELECT "Date" FROM table_79508 WHERE "Week" > '9' AND "Attendance" = '72,051' | SELECT "Date" FROM "table_79508" WHERE "Attendance" = '72,051' AND "Week" > '9' | 0.077148 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| specify the icu stay of patient id 22377 | SELECT prescriptions.icustay_id FROM prescriptions WHERE prescriptions.subject_id = "22377" | SELECT "prescriptions"."icustay_id" FROM "prescriptions" WHERE "22377" = "prescriptions"."subject_id" | 0.098633 |
CREATE TABLE table_44637 ("State" TEXT, "Type" TEXT, "Name" TEXT, "Title" TEXT, "Royal house" TEXT, "From" TEXT)
| Xiong Yan the Younger of the house of Mi ruled from what year? | SELECT "From" FROM table_44637 WHERE "Royal house" = 'mi' AND "Name" = 'xiong yan the younger' | SELECT "From" FROM "table_44637" WHERE "Name" = 'xiong yan the younger' AND "Royal house" = 'mi' | 0.09375 |
CREATE TABLE table_2501754_3 (original_airdate VARCHAR, prod_code VARCHAR)
| List the 1st air date for the episode with a iceb786e production code. | SELECT original_airdate FROM table_2501754_3 WHERE prod_code = "ICEB786E" | SELECT "original_airdate" FROM "table_2501754_3" WHERE "ICEB786E" = "prod_code" | 0.077148 |
CREATE TABLE table_45888 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| In what venue was the event held on 14 February 2009? | SELECT "Venue" FROM table_45888 WHERE "Date" = '14 february 2009' | SELECT "Venue" FROM "table_45888" WHERE "Date" = '14 february 2009' | 0.06543 |
CREATE TABLE table_63303 ("Season" TEXT, "Div." TEXT, "Pos." TEXT, "Pld." TEXT, "Pts." TEXT)
| What season has 36 pld, a bbl div, and 6th position? | SELECT "Season" FROM table_63303 WHERE "Pld." = '36' AND "Div." = 'bbl' AND "Pos." = '6th' | SELECT "Season" FROM "table_63303" WHERE "Div." = 'bbl' AND "Pld." = '36' AND "Pos." = '6th' | 0.089844 |
CREATE TABLE table_name_66 (sub_parish__sogn_ VARCHAR, location_of_the_church VARCHAR, year_built VARCHAR, parish__prestegjeld_ VARCHAR)
| Which Sub-Parish (Sogn) was built before 1883 in the Parish (Prestegjeld) of jostedal parish and is located in the Church of Gaupne? | SELECT sub_parish__sogn_ FROM table_name_66 WHERE year_built < 1883 AND parish__prestegjeld_ = "jostedal parish" AND location_of_the_church = "gaupne" | SELECT "sub_parish__sogn_" FROM "table_name_66" WHERE "gaupne" = "location_of_the_church" AND "jostedal parish" = "parish__prestegjeld_" AND "year_built" < 1883 | 0.15625 |
CREATE TABLE table_name_15 (date VARCHAR, year VARCHAR, location VARCHAR, result VARCHAR, competition VARCHAR)
| What is the date of the game with a loss result in the Europe/Africa Group I, Round Robin competition in Murcia (esp) after 1998? | SELECT date FROM table_name_15 WHERE result = "loss" AND competition = "europe/africa group i, round robin" AND location = "murcia (esp)" AND year > 1998 | SELECT "date" FROM "table_name_15" WHERE "competition" = "europe/africa group i, round robin" AND "location" = "murcia (esp)" AND "loss" = "result" AND "year" > 1998 | 0.161133 |
CREATE TABLE table_name_31 (pick__number VARCHAR, round VARCHAR)
| What is the pick number for the player(s) drafted in round 8? | SELECT pick__number FROM table_name_31 WHERE round = "round 8" | SELECT "pick__number" FROM "table_name_31" WHERE "round 8" = "round" | 0.066406 |
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
| Visualize a bar chart for what are total transaction amounts for each transaction type?, rank by the y-axis in descending. | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type ORDER BY SUM(transaction_amount) DESC | SELECT "transaction_type", SUM("transaction_amount") FROM "Financial_Transactions" GROUP BY "transaction_type" ORDER BY SUM("transaction_amount") DESC NULLS LAST | 0.157227 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| until 2104, how many patients have undergone open reduc-int fix femur within the same month after the procedure of insert endotracheal tube? | SELECT COUNT(DISTINCT t1.subject_id) 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 = 'insert endotracheal tube') AND STRFTIME('%y', procedures_icd.charttime) <= '2104') AS t1 JOIN (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 = 'open reduc-int fix femur') AND STRFTIME('%y', procedures_icd.charttime) <= '2104') 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') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'open reduc-int fix femur' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'insert endotracheal tube' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "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') WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104' | 0.952148 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose diagnoses long title is acute glomerulonephritis with other specified pathological lesion in kidney and drug route is iv drip? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Acute glomerulonephritis with other specified pathological lesion in kidney" AND prescriptions.route = "IV DRIP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute glomerulonephritis with other specified pathological lesion in kidney" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IV DRIP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.352539 |
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
| datasets used in papers written by oren etzioni ? | SELECT DISTINCT paperdataset.datasetid FROM author, paper, paperdataset, writes WHERE author.authorname = 'oren etzioni' AND paper.paperid = paperdataset.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paperdataset"."datasetid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperdataset" ON "paper"."paperid" = "paperdataset"."paperid" WHERE "author"."authorname" = 'oren etzioni' | 0.276367 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of email and salary in a bar chart, rank total number in descending order. | SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC | SELECT "EMAIL", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC NULLS LAST | 0.193359 |
CREATE TABLE table_41149 ("Year" FLOAT, "Chassis" TEXT, "Engine" TEXT, "Start" TEXT, "Finish" TEXT)
| What was Andretti's finish for the year he had a Buick engine and started 16th? | SELECT "Finish" FROM table_41149 WHERE "Engine" = 'buick' AND "Start" = '16th' | SELECT "Finish" FROM "table_41149" WHERE "Engine" = 'buick' AND "Start" = '16th' | 0.078125 |
CREATE TABLE table_204_859 (id DECIMAL, "year" DECIMAL, "seniors ( trood award & rodda medal ) " TEXT, "reserves ( rex hartley medal ) " TEXT, "under 18's ( bruce wilkinson medal ) " TEXT, "under 16's ( shaw/carter medal ) " TEXT)
| tell me the number of votes that szabo got in 1965 . | SELECT "seniors (trood award & rodda medal)" FROM table_204_859 WHERE "year" = 1965 | SELECT "seniors (trood award & rodda medal)" FROM "table_204_859" WHERE "year" = 1965 | 0.083008 |
CREATE TABLE table_name_88 (country VARCHAR, place VARCHAR, player VARCHAR)
| What country has t6 as the place, with sean o'hair as the player? | SELECT country FROM table_name_88 WHERE place = "t6" AND player = "sean o'hair" | SELECT "country" FROM "table_name_88" WHERE "place" = "t6" AND "player" = "sean o'hair" | 0.084961 |
CREATE TABLE table_18522916_5 (date_of_vacancy VARCHAR, outgoing_manager VARCHAR)
| Name the date of vacancy for daniel uberti | SELECT date_of_vacancy FROM table_18522916_5 WHERE outgoing_manager = "Daniel Uberti" | SELECT "date_of_vacancy" FROM "table_18522916_5" WHERE "Daniel Uberti" = "outgoing_manager" | 0.088867 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what is the last specimen test given to patient 031-16123 since 08/2104? | SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) AND STRFTIME('%y-%m', microlab.culturetakentime) >= '2104-08' ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-16123' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") >= '2104-08' ORDER BY "microlab"."culturetakentime" DESC NULLS LAST LIMIT 1 | 0.620117 |
CREATE TABLE table_17128 ("Calculator" TEXT, "CPU" TEXT, "RAM" TEXT, "Display Size" TEXT, "Programming Languages" TEXT, "Link Abilities" TEXT, "Year Released" TEXT, "Predecessors" TEXT, "Successors" TEXT)
| what is the display size for the calculator released in 1997? | SELECT "Display Size" FROM table_17128 WHERE "Year Released" = '1997' | SELECT "Display Size" FROM "table_17128" WHERE "Year Released" = '1997' | 0.069336 |
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
| papers coauthored by X Jiang and Frantzen | SELECT DISTINCT WRITES_0.paperid FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'X Jiang' AND AUTHOR_1.authorname = 'Frantzen' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid | SELECT DISTINCT "WRITES_0"."paperid" FROM "author" AS "AUTHOR_0" JOIN "writes" AS "WRITES_0" ON "AUTHOR_0"."authorid" = "WRITES_0"."authorid" JOIN "writes" AS "WRITES_1" ON "WRITES_0"."paperid" = "WRITES_1"."paperid" JOIN "author" AS "AUTHOR_1" ON "AUTHOR_1"."authorid" = "WRITES_1"."authorid" AND "AUTHOR_1"."authorname" = 'Frantzen' WHERE "AUTHOR_0"."authorname" = 'X Jiang' | 0.367188 |
CREATE TABLE table_66753 ("Name of System" TEXT, "Location" TEXT, "Traction Type" TEXT, "Date ( From ) " TEXT, "Date ( To ) " TEXT)
| On what date did the event at Zaltbommel begin? | SELECT "Date (From)" FROM table_66753 WHERE "Location" = 'zaltbommel' | SELECT "Date (From)" FROM "table_66753" WHERE "Location" = 'zaltbommel' | 0.069336 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients with liver transplant primary disease who had open and other replacement of mitral valve with tissue graft? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "LIVER TRANSPLANT" AND procedures.short_title = "Opn/oth rep mtrl vlv-tis" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Opn/oth rep mtrl vlv-tis" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "LIVER TRANSPLANT" = "demographic"."diagnosis" | 0.245117 |
CREATE TABLE table_18183850_12 (edition VARCHAR, surface VARCHAR, outcome VARCHAR)
| What was the game edition when they played on the clay (i) surface and the outcome was a winner? | SELECT edition FROM table_18183850_12 WHERE surface = "Clay (i)" AND outcome = "Winner" | SELECT "edition" FROM "table_18183850_12" WHERE "Clay (i)" = "surface" AND "Winner" = "outcome" | 0.092773 |
CREATE TABLE table_name_77 (venue VARCHAR, competition VARCHAR)
| What is the venue of the 1990 Asian games? | SELECT venue FROM table_name_77 WHERE competition = "1990 asian games" | SELECT "venue" FROM "table_name_77" WHERE "1990 asian games" = "competition" | 0.074219 |
CREATE TABLE event (id DECIMAL, name TEXT, stadium_id DECIMAL, year TEXT)
CREATE TABLE record (id DECIMAL, result TEXT, swimmer_id DECIMAL, event_id DECIMAL)
CREATE TABLE stadium (id DECIMAL, name TEXT, capacity DECIMAL, city TEXT, country TEXT, opening_year DECIMAL)
CREATE TABLE swimmer (id DECIMAL, name TEXT, nationality TEXT, meter_100 DECIMAL, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, time TEXT)
| How many stadiums are not in country 'Russia'? | SELECT COUNT(*) FROM stadium WHERE country <> 'Russia' | SELECT COUNT(*) FROM "stadium" WHERE "country" <> 'Russia' | 0.056641 |
CREATE TABLE table_name_23 (social_sec_leeds VARCHAR, season VARCHAR, fixtures_sec VARCHAR, general_sec VARCHAR)
| Name the Social Sec Leeds has Fixtures Sec of n/a, and a General Sec of n/a, and the Season of 2005 2006? | SELECT social_sec_leeds FROM table_name_23 WHERE fixtures_sec = "n/a" AND general_sec = "n/a" AND season = "2005–2006" | SELECT "social_sec_leeds" FROM "table_name_23" WHERE "2005–2006" = "season" AND "fixtures_sec" = "n/a" AND "general_sec" = "n/a" | 0.125 |
CREATE TABLE table_23160 ("Year" TEXT, "Number of Candidates" FLOAT, "Total votes" FLOAT, "Average voters per candidate" FLOAT, "Percentage of vote" TEXT, "Saved deposits" FLOAT, "Change ( percentage points ) " TEXT, "Number of MPs" FLOAT)
| What was the total number of votes in the 2005 elections? | SELECT MIN("Total votes") FROM table_23160 WHERE "Year" = '2005' | SELECT MIN("Total votes") FROM "table_23160" WHERE "Year" = '2005' | 0.064453 |
CREATE TABLE table_27988559_1 (original_air_date VARCHAR, production_code VARCHAR)
| How many dates did the episode with a production code of 804 originally air on? | SELECT COUNT(original_air_date) FROM table_27988559_1 WHERE production_code = 804 | SELECT COUNT("original_air_date") FROM "table_27988559_1" WHERE "production_code" = 804 | 0.084961 |
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
| Show the number of apartment bookings in each day and group by booking end date with a line chart, and I want to sort by the x axis in asc. | SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings GROUP BY booking_end_date ORDER BY booking_end_date | SELECT "booking_end_date", COUNT("booking_end_date") FROM "Apartment_Bookings" GROUP BY "booking_end_date" ORDER BY "booking_end_date" NULLS FIRST | 0.142578 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For all employees who have the letters D or S in their first name, find job_id and the sum of employee_id , and group by attribute job_id, and visualize them by a bar chart, and show from high to low by the x-axis please. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.157227 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
| Top AWS Answerers in a month. | SELECT Answer.OwnerUserId, Answerer.DisplayName, COUNT(Answer.Id) AS Answers FROM Posts AS Question JOIN Posts AS Answer ON Question.Id = Answer.ParentId JOIN Users AS Answerer ON Answer.OwnerUserId = Answerer.Id WHERE Question.PostTypeId = 1 AND Answer.PostTypeId = 2 AND Question.ClosedDate IS NULL AND (Question.Tags LIKE '%<amazon-%' OR Question.Tags LIKE '%<aws-%') AND CAST(TIME_TO_STR(Answer.CreationDate, '%Y-%m-%d') AS TEXT(7)) = '##Month##' GROUP BY Answer.OwnerUserId, Answerer.DisplayName ORDER BY COUNT(Answer.Id) DESC | SELECT "Answer"."OwnerUserId", "Answerer"."DisplayName", COUNT("Answer"."Id") AS "Answers" FROM "Posts" AS "Question" JOIN "Posts" AS "Answer" ON "Answer"."ParentId" = "Question"."Id" AND "Answer"."PostTypeId" = 2 AND CAST(TO_CHAR(CAST("Answer"."CreationDate" AS TIMESTAMPNTZ), 'yyyy-mm-DD') AS TEXT(7)) = '##Month##' JOIN "Users" AS "Answerer" ON "Answer"."OwnerUserId" = "Answerer"."Id" WHERE "Question"."ClosedDate" IS NULL AND "Question"."PostTypeId" = 1 AND ("Question"."Tags" LIKE '%<amazon-%' OR "Question"."Tags" LIKE '%<aws-%') GROUP BY "Answer"."OwnerUserId", "Answerer"."DisplayName" ORDER BY COUNT("Answer"."Id") DESC NULLS LAST | 0.625 |
CREATE TABLE table_34205 ("Year" TEXT, "Flagship Station" TEXT, "Play-by-play" TEXT, "Color commentator ( s ) " TEXT, "Studio host" TEXT)
| Year of 2006-07 had what studio host? | SELECT "Studio host" FROM table_34205 WHERE "Year" = '2006-07' | SELECT "Studio host" FROM "table_34205" WHERE "Year" = '2006-07' | 0.0625 |
CREATE TABLE table_59209 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" FLOAT)
| What is the total for player karrie webb? | SELECT COUNT("Total") FROM table_59209 WHERE "Player" = 'karrie webb' | SELECT COUNT("Total") FROM "table_59209" WHERE "Player" = 'karrie webb' | 0.069336 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients whose admission type is emergency and lab test category is hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.206055 |
CREATE TABLE table_16025095_1 (attendance INT, date VARCHAR)
| What was the minimum crowd on January 24, 1987? | SELECT MIN(attendance) FROM table_16025095_1 WHERE date = "January 24, 1987" | SELECT MIN("attendance") FROM "table_16025095_1" WHERE "January 24, 1987" = "date" | 0.080078 |
CREATE TABLE ref_colors (color_code TEXT, color_description TEXT)
CREATE TABLE ref_product_categories (product_category_code TEXT, product_category_description TEXT, unit_of_measure TEXT)
CREATE TABLE characteristics (characteristic_id DECIMAL, characteristic_type_code TEXT, characteristic_data_type TEXT, characteristic_name TEXT, other_characteristic_details TEXT)
CREATE TABLE product_characteristics (product_id DECIMAL, characteristic_id DECIMAL, product_characteristic_value TEXT)
CREATE TABLE products (product_id DECIMAL, color_code TEXT, product_category_code TEXT, product_name TEXT, typical_buying_price TEXT, typical_selling_price TEXT, product_description TEXT, other_product_details TEXT)
CREATE TABLE ref_characteristic_types (characteristic_type_code TEXT, characteristic_type_description TEXT)
| How many products have the color description 'red' and the characteristic name 'slow'? | SELECT COUNT(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "slow" | SELECT COUNT(*) FROM "products" AS "t1" JOIN "product_characteristics" AS "t2" ON "t1"."product_id" = "t2"."product_id" JOIN "ref_colors" AS "t4" ON "red" = "t4"."color_description" AND "t1"."color_code" = "t4"."color_code" JOIN "characteristics" AS "t3" ON "slow" = "t3"."characteristic_name" AND "t2"."characteristic_id" = "t3"."characteristic_id" | 0.34082 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
| Syrian Users of Stack Overflow. This query tries to show Syrian users of StackOverflow. It makes best guess by looking into the Location field and comparing it with a number of possible values related to Syria. | SELECT Id, DisplayName, Reputation, CreationDate, Location FROM Users WHERE LOWER(Location) LIKE '%syria%' OR LOWER(Location) LIKE '%damascus%' OR LOWER(Location) LIKE '%aleppo%' ORDER BY Reputation DESC | SELECT "Id", "DisplayName", "Reputation", "CreationDate", "Location" FROM "Users" WHERE LOWER("Location") LIKE '%aleppo%' OR LOWER("Location") LIKE '%damascus%' OR LOWER("Location") LIKE '%syria%' ORDER BY "Reputation" DESC NULLS LAST | 0.228516 |
CREATE TABLE table_name_40 (team VARCHAR, score VARCHAR)
| Which Team has a Score of 89-123? | SELECT team FROM table_name_40 WHERE score = "89-123" | SELECT "team" FROM "table_name_40" WHERE "89-123" = "score" | 0.057617 |
CREATE TABLE table_19615 ("Stage ( Winner ) " TEXT, "General Classification" TEXT, "Mountains Classification" TEXT, "Points Classification" TEXT, "Young rider classification" TEXT, "Team Classification" TEXT)
| Name the points classification for mark renshaw and team csc | SELECT "Points Classification" FROM table_19615 WHERE "General Classification" = 'Mark Renshaw' AND "Team Classification" = 'Team CSC' | SELECT "Points Classification" FROM "table_19615" WHERE "General Classification" = 'Mark Renshaw' AND "Team Classification" = 'Team CSC' | 0.132813 |
CREATE TABLE table_name_79 (player VARCHAR, score VARCHAR)
| WHAT PLAYER HAS A SCORE OF 66-73=139? | SELECT player FROM table_name_79 WHERE score = 66 - 73 = 139 | SELECT "player" FROM "table_name_79" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
| what ground transportation is available from the PIT airport | SELECT DISTINCT ground_service.transport_type FROM airport, ground_service WHERE airport.airport_code = 'PIT' AND ground_service.airport_code = airport.airport_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" WHERE "airport"."airport_code" = 'PIT' | 0.182617 |
CREATE TABLE table_41988 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What date has 6 as the tie no.? | SELECT "Date" FROM table_41988 WHERE "Tie no" = '6' | SELECT "Date" FROM "table_41988" WHERE "Tie no" = '6' | 0.051758 |
CREATE TABLE table_10602 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Kickoff [a ]" TEXT, "Game site" TEXT, "Attendance" TEXT, "Record" TEXT)
| Name the date when 33,307 attended | SELECT "Date" FROM table_10602 WHERE "Attendance" = '33,307' | SELECT "Date" FROM "table_10602" WHERE "Attendance" = '33,307' | 0.060547 |
CREATE TABLE table_11190568_7 (date_of_vacancy VARCHAR, outgoing_manager VARCHAR)
| When are the vacancy dates for outgoing manager Damien Fox? | SELECT date_of_vacancy FROM table_11190568_7 WHERE outgoing_manager = "Damien Fox" | SELECT "date_of_vacancy" FROM "table_11190568_7" WHERE "Damien Fox" = "outgoing_manager" | 0.085938 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
| what are the top four most common procedures in patients with age 60 or above since 2105? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND STRFTIME('%y', procedures_icd.charttime) >= '2105' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") >= '2105' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.685547 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| provide the number of patients whose diagnoses short title is peritonitis (acute) gen and drug route is ih? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Peritonitis (acute) gen" AND prescriptions.route = "IH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Peritonitis (acute) gen" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IH" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.297852 |
CREATE TABLE table_name_59 (driver VARCHAR, grid VARCHAR, time_retired VARCHAR)
| Which Driver that has a Grid less than 9 and a Time/Retired of 2:06:26.358? | SELECT driver FROM table_name_59 WHERE grid < 9 AND time_retired = "2:06:26.358" | SELECT "driver" FROM "table_name_59" WHERE "2:06:26.358" = "time_retired" AND "grid" < 9 | 0.085938 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
| gRPC tagged questions in past year. | SELECT COUNT(PostId) AS Rate FROM Tags, PostTags, Posts WHERE (TagName = 'grpc' OR TagName = 'grpc-java') AND Tags.Id = PostTags.TagId AND Posts.Id = PostId AND Posts.CreationDate < '2019-07-01' AND Posts.CreationDate > '2018-07-01' | SELECT COUNT("PostId") AS "Rate" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" AND "Posts"."CreationDate" < '2019-07-01' AND "Posts"."CreationDate" > '2018-07-01' JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" WHERE "TagName" = 'grpc' OR "TagName" = 'grpc-java' | 0.265625 |
CREATE TABLE table_106367_2 (general_election VARCHAR, result VARCHAR, _percentage_of_popular_vote VARCHAR)
| Which general election had a pq majority and a 44.75% of the popular vote? | SELECT general_election FROM table_106367_2 WHERE result = "PQ majority" AND _percentage_of_popular_vote = "44.75%" | SELECT "general_election" FROM "table_106367_2" WHERE "44.75%" = "_percentage_of_popular_vote" AND "PQ majority" = "result" | 0.120117 |
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
| Of all the classes offered this Spring-Summer , which ones are upper-level RACKHAM classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'RACKHAM' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spring-Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Spring-Summer' AND "semester"."year" = 2016 WHERE "course"."department" = 'RACKHAM' | 0.46582 |
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
| which flight is a one way fare at 329 dollars from DENVER to PITTSBURGH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND fare.one_direction_cost = 329 AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."one_direction_cost" = 329 AND "fare"."round_trip_required" = 'NO' | 0.698242 |
CREATE TABLE store_product (Store_ID INT, Product_ID INT)
CREATE TABLE district (District_ID INT, District_name TEXT, Headquartered_City TEXT, City_Population FLOAT, City_Area FLOAT)
CREATE TABLE store_district (Store_ID INT, District_ID INT)
CREATE TABLE store (Store_ID INT, Store_Name TEXT, Type TEXT, Area_size FLOAT, Number_of_product_category FLOAT, Ranking INT)
CREATE TABLE product (product_id INT, product TEXT, dimensions TEXT, dpi FLOAT, pages_per_minute_color FLOAT, max_page_size TEXT, interface TEXT)
| What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents? Show a bar graph. | SELECT District_name, City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000 | SELECT "District_name", "City_Population" FROM "district" WHERE "City_Population" <= 2000000 AND "City_Population" >= 200000 | 0.121094 |
CREATE TABLE table_203_412 (id DECIMAL, "school" TEXT, "conference" TEXT, "record ( conference ) " TEXT, "head coach" TEXT, "cws appearances" TEXT, "cws best finish" TEXT, "cws record" TEXT)
| does clemson or western michigan have more cws appearances ? | SELECT "school" FROM table_203_412 WHERE "school" IN ('clemson', 'western michigan') ORDER BY "cws appearances" DESC LIMIT 1 | SELECT "school" FROM "table_203_412" WHERE "school" IN ('clemson', 'western michigan') ORDER BY "cws appearances" DESC NULLS LAST LIMIT 1 | 0.133789 |
CREATE TABLE table_name_78 (lost VARCHAR, tries_for VARCHAR)
| Which Lost has a Tries for of 75? | SELECT lost FROM table_name_78 WHERE tries_for = "75" | SELECT "lost" FROM "table_name_78" WHERE "75" = "tries_for" | 0.057617 |
CREATE TABLE table_name_47 (assembled VARCHAR, elected VARCHAR)
| What is the assembled date of the parliament elected in 1620/21? | SELECT assembled FROM table_name_47 WHERE elected = "1620/21" | SELECT "assembled" FROM "table_name_47" WHERE "1620/21" = "elected" | 0.06543 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients of black/cape verdean ethnicity are diagnosed with primary disease acidosis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.diagnosis = "ACIDOSIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ACIDOSIS" = "demographic"."diagnosis" AND "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.162109 |
CREATE TABLE table_27756314_6 (high_assists VARCHAR, date VARCHAR)
| who had high assists on november 12? | SELECT high_assists FROM table_27756314_6 WHERE date = "November 12" | SELECT "high_assists" FROM "table_27756314_6" WHERE "November 12" = "date" | 0.072266 |
CREATE TABLE table_33071 ("Lecturers" FLOAT, "Associate professors" FLOAT, "Assistant professors" FLOAT, "Professors" FLOAT, "Total" FLOAT)
| What is the total in the case where theere are 6 lecturers and fewer than 48 professors? | SELECT AVG("Total") FROM table_33071 WHERE "Lecturers" = '6' AND "Professors" < '48' | SELECT AVG("Total") FROM "table_33071" WHERE "Lecturers" = '6' AND "Professors" < '48' | 0.083984 |
CREATE TABLE table_name_35 (tries_against VARCHAR, club VARCHAR)
| What was the tries again llanishen rfc? | SELECT tries_against FROM table_name_35 WHERE club = "llanishen rfc" | SELECT "tries_against" FROM "table_name_35" WHERE "club" = "llanishen rfc" | 0.072266 |
CREATE TABLE table_9721 ("Year" FLOAT, "Miss Earth Venezuela" TEXT, "1st Runner Up" TEXT, "2nd Runner Up" TEXT, "3rd Runner Up" TEXT, "4th Runner Up" TEXT)
| who is the miss earth venezuela when the 2nd runner-up is mar a escalante? | SELECT "Miss Earth Venezuela" FROM table_9721 WHERE "2nd Runner Up" = 'maría escalante' | SELECT "Miss Earth Venezuela" FROM "table_9721" WHERE "2nd Runner Up" = 'maría escalante' | 0.086914 |
CREATE TABLE table_38631 ("Call sign" TEXT, "Frequency MHz" TEXT, "City of license" TEXT, "ERP W" FLOAT, "Class" TEXT, "FCC info" TEXT)
| What is surfside beach, SC frequency? | SELECT "Frequency MHz" FROM table_38631 WHERE "City of license" = 'surfside beach, sc' | SELECT "Frequency MHz" FROM "table_38631" WHERE "City of license" = 'surfside beach, sc' | 0.085938 |
CREATE TABLE table_name_64 (position VARCHAR, pick__number VARCHAR, overall VARCHAR, round VARCHAR)
| Which was the position for overall less than 254, round less than 5 and pick number less than 13? | SELECT position FROM table_name_64 WHERE overall < 254 AND round < 5 AND pick__number < 13 | SELECT "position" FROM "table_name_64" WHERE "overall" < 254 AND "pick__number" < 13 AND "round" < 5 | 0.097656 |
CREATE TABLE table_58998 ("Title" TEXT, "Developer" TEXT, "Genre" TEXT, "Release date" TEXT, "Version" FLOAT)
| What is Title, when Developer is '2Play Mobile', and when Genre is 'Action'? | SELECT "Title" FROM table_58998 WHERE "Developer" = '2play mobile' AND "Genre" = 'action' | SELECT "Title" FROM "table_58998" WHERE "Developer" = '2play mobile' AND "Genre" = 'action' | 0.088867 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.