schema stringlengths 29 5.42k | question stringlengths 0 752 | rejected stringlengths 2 4.44k | chosen stringlengths 4 8.94k | weight float64 0 8.73 |
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CREATE TABLE table_17613 ("Country" CLOB, "Player name" CLOB, "Period" CLOB, "Position" CLOB, "Matches" CLOB, "Goals" CLOB)
| What is the name of the player who played in 2009 only? | SELECT "Player name" FROM table_17613 WHERE "Period" = '2009' | SELECT "Player name" FROM "table_17613" WHERE "Period" = '2009' | 0.061523 |
CREATE TABLE table_name_48 (sr NUMBER, average VARCHAR2, balls_faced VARCHAR2)
| Which average S.R. has an Average of 39.13 and Balls Faced larger than 318? | SELECT AVG(sr) FROM table_name_48 WHERE average = 39.13 AND balls_faced > 318 | SELECT AVG("sr") FROM "table_name_48" WHERE "average" = 39.13 AND "balls_faced" > 318 | 0.083008 |
CREATE TABLE table_name_64 (points_2 NUMBER, position VARCHAR2, goal_average_1 VARCHAR2, goals_against VARCHAR2)
| Which Points 2 has a Goal Average 1 larger than 1.17, a Goals Against larger than 48, and a Position larger than 6? | SELECT SUM(points_2) FROM table_name_64 WHERE goal_average_1 > 1.17 AND goals_against > 48 AND position > 6 | SELECT SUM("points_2") FROM "table_name_64" WHERE "goal_average_1" > 1.17 AND "goals_against" > 48 AND "position" > 6 | 0.114258 |
CREATE TABLE table_name_17 (nationality VARCHAR2, round VARCHAR2, pick VARCHAR2)
| What is Nationality, when Round is less than 2, and when Pick is '24'? | SELECT nationality FROM table_name_17 WHERE round < 2 AND pick = 24 | SELECT "nationality" FROM "table_name_17" WHERE "pick" = 24 AND "round" < 2 | 0.073242 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CL... | when was the first time patient 005-48105 had a emesis output today? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-48105')) AND intakeoutput.cellpath LIKE '%output%... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-48105' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS ... | 0.770508 |
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_... | Show the number of courses for each instructor in a bar chart, and display bar in descending order please. | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY EMP_FNAME ORDER BY EMP_FNAME DESC | SELECT "EMP_FNAME", COUNT("EMP_FNAME") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" JOIN "PROFESSOR" "T4" ON "T2"."EMP_NUM" = "T4"."EMP_NUM" GROUP BY "EMP_FNAME" ORDER BY "EMP_FNAME" DESC | 0.266602 |
CREATE TABLE table_name_67 (standing_broad_jump__cm_ VARCHAR2, grade VARCHAR2)
| Which standing broad jump (cm) had the b grade? | SELECT standing_broad_jump__cm_ FROM table_name_67 WHERE grade = "b" | SELECT "standing_broad_jump__cm_" FROM "table_name_67" WHERE "b" = "grade" | 0.072266 |
CREATE TABLE table_41298 ("Outcome" CLOB, "Date" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is the score where the opponent was Mardy Fish? | SELECT "Score" FROM table_41298 WHERE "Opponent" = 'mardy fish' | SELECT "Score" FROM "table_41298" WHERE "Opponent" = 'mardy fish' | 0.063477 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id ... | How many patients born before the year 2197 had the drug code as meth 125i? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2197" AND prescriptions.formulary_drug_cd = "METH125I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "METH125I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2197" > "demographic"."dob_year" | 0.231445 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, car... | how many hours has it been since the first time patient 60136 was diagnosed with ac on chr diast hrt fail during their current hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ac on chr diast hrt fail') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM ad... | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 60136 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnoses_icd"."charttime")) FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."ic... | 0.563477 |
CREATE TABLE table_name_28 (attendance NUMBER, date VARCHAR2)
| What is the average Attendance, when Date is 1 October 1998? | SELECT AVG(attendance) FROM table_name_28 WHERE date = "1 october 1998" | SELECT AVG("attendance") FROM "table_name_28" WHERE "1 october 1998" = "date" | 0.075195 |
CREATE TABLE table_48745 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the to par of Al Mengert of the United States? | SELECT "To par" FROM table_48745 WHERE "Country" = 'united states' AND "Player" = 'al mengert' | SELECT "To par" FROM "table_48745" WHERE "Country" = 'united states' AND "Player" = 'al mengert' | 0.09375 |
CREATE TABLE table_1140085_2 (report VARCHAR2, location VARCHAR2)
| what is the report where the location is kyalami? | SELECT report FROM table_1140085_2 WHERE location = "Kyalami" | SELECT "report" FROM "table_1140085_2" WHERE "Kyalami" = "location" | 0.06543 |
CREATE TABLE table_72204 ("Acquisition" CLOB, "knowledge" CLOB, "penance" CLOB, "permanence of the body" CLOB, "constancy" CLOB, "purity" CLOB)
| what's the permanence of the body where purity is apprehension | SELECT "permanence of the body" FROM table_72204 WHERE "purity" = 'apprehension' | SELECT "permanence of the body" FROM "table_72204" WHERE "purity" = 'apprehension' | 0.080078 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABL... | indicate the daily minimum sao2 of patient 14054 last month. | SELECT MIN(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14054)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'sao2... | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14054 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_item... | 0.828125 |
CREATE TABLE table_name_96 (record_description VARCHAR2, date VARCHAR2, pilot VARCHAR2, achievement VARCHAR2, type VARCHAR2)
| Achievement of m (ft), and a Type of mi-10r, and a Pilot of v.p. koloshenko, and a Date of 28 may 1965 had what record description? | SELECT record_description FROM table_name_96 WHERE achievement = "m (ft)" AND type = "mi-10r" AND pilot = "v.p. koloshenko" AND date = "28 may 1965" | SELECT "record_description" FROM "table_name_96" WHERE "28 may 1965" = "date" AND "achievement" = "m (ft)" AND "mi-10r" = "type" AND "pilot" = "v.p. koloshenko" | 0.15625 |
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMB... | what flights from ST. PAUL to KANSAS CITY on friday with LUNCH served | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight, food_service WHERE ((date_day.day_number = 25 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.... | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 25 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ST. PAUL' JOIN "days" ... | 0.816406 |
CREATE TABLE table_11839306_2 (track VARCHAR2)
| How long is track number 8? | SELECT track AS time FROM table_11839306_2 WHERE track = 8 | SELECT "track" AS "time" FROM "table_11839306_2" WHERE "track" = 8 | 0.064453 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_tit... | What upper level ENSCEN classes are available Fall semester ? | 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 = 'ENSCEN' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Fall... | 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_off... | 0.456055 |
CREATE TABLE table_32663 ("Casino" CLOB, "Opening Date" CLOB, "Theme" CLOB, "Hotel Rooms" FLOAT, "Section of Atlantic City" CLOB)
| When did the hotel with 727 rooms open? | SELECT "Opening Date" FROM table_32663 WHERE "Hotel Rooms" = '727' | SELECT "Opening Date" FROM "table_32663" WHERE "Hotel Rooms" = '727' | 0.066406 |
CREATE TABLE table_61587 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nominated" CLOB, "Result" CLOB)
| What is the year of the Premios Carlos Gardel 2009 award? | SELECT "Year" FROM table_61587 WHERE "Award" = 'premios carlos gardel 2009' | SELECT "Year" FROM "table_61587" WHERE "Award" = 'premios carlos gardel 2009' | 0.075195 |
CREATE TABLE table_name_77 (points VARCHAR2, time_retired VARCHAR2)
| How many points are associated with a Time/Retired of +10.131 secs? | SELECT COUNT(points) FROM table_name_77 WHERE time_retired = "+10.131 secs" | SELECT COUNT("points") FROM "table_name_77" WHERE "+10.131 secs" = "time_retired" | 0.079102 |
CREATE TABLE table_43054 ("Rank" FLOAT, "Name" CLOB, "Team" CLOB, "Games" FLOAT, "Assists" FLOAT)
| How many Assists for the Player with a Rank greater than 3 in less than 25 Games? | SELECT AVG("Assists") FROM table_43054 WHERE "Rank" > '3' AND "Games" < '25' | SELECT AVG("Assists") FROM "table_43054" WHERE "Games" < '25' AND "Rank" > '3' | 0.076172 |
CREATE TABLE table_name_37 (score VARCHAR2, opponent VARCHAR2)
| What is the score of the tournament with younes el aynaoui as the opponent? | SELECT score FROM table_name_37 WHERE opponent = "younes el aynaoui" | SELECT "score" FROM "table_name_37" WHERE "opponent" = "younes el aynaoui" | 0.072266 |
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_... | Visualize a bar chart for how many students are older than average for each gender?, list by the the total number from high to low. | SELECT Sex, COUNT(*) FROM Student WHERE Age > (SELECT AVG(Age) FROM Student) GROUP BY Sex ORDER BY COUNT(*) DESC | SELECT "Sex", COUNT(*) FROM "Student" WHERE "Age" > (SELECT AVG("Age") FROM "Student") GROUP BY "Sex" ORDER BY COUNT(*) DESC | 0.121094 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_y... | What are the total number of patients who stayed in the hospital for more than 2 days and their lab test name is calcium? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "2" AND lab.label = "Calcium, Total" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Calcium, Total" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2" < "demographic"."days_stay" | 0.194336 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, ch... | tell me the first time that patient 87942 had a pt lab test in the last hospital visit? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'pt') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 87942 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIM... | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'pt' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 87942 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH... | 0.604492 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, n... | How many patients are born before 2197 and with procedure icd9 code 309? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2197" AND procedures.icd9_code = "309" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "309" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2197" > "demographic"."dob_year" | 0.209961 |
CREATE TABLE table_20970 ("Runs" CLOB, "Wicket" CLOB, "Batting partners" CLOB, "Batting team" CLOB, "Fielding team" CLOB, "Venue" CLOB, "Season" CLOB)
| How many runs when bangladesh was the fielding team? | SELECT "Runs" FROM table_20970 WHERE "Fielding team" = 'Bangladesh' | SELECT "Runs" FROM "table_20970" WHERE "Fielding team" = 'Bangladesh' | 0.067383 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, pati... | what was the daily minimum dose of enteral feed that patient 030-42006 was taking in 07/this year? | SELECT MIN(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-42006')) AND intakeoutput.celllabel = 'enter... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-42006' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS ... | 0.841797 |
CREATE TABLE table_28352386_1 (total VARCHAR2, guest_judge VARCHAR2)
| What was the total score when the guest judge gave a score of 10? | SELECT total FROM table_28352386_1 WHERE guest_judge = "10" | SELECT "total" FROM "table_28352386_1" WHERE "10" = "guest_judge" | 0.063477 |
CREATE TABLE table_name_85 (score VARCHAR2, record VARCHAR2)
| Which Score has a Record of 18 11 5? | SELECT score FROM table_name_85 WHERE record = "18–11–5" | SELECT "score" FROM "table_name_85" WHERE "18–11–5" = "record" | 0.060547 |
CREATE TABLE restaurant_type (restypeid NUMBER, restypename CLOB, restypedescription CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE type_of_restaurant (resid NUMBER, restypeid NUMBER)
CREATE TABLE restaurant (resid NUMBE... | What is the gender of the student Linda Smith? | SELECT sex FROM student WHERE fname = "Linda" AND lname = "Smith" | SELECT "sex" FROM "student" WHERE "Linda" = "fname" AND "Smith" = "lname" | 0.071289 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME... | Count SO questions by Year. | SELECT COUNT(P.Id) AS Posts, YEAR(P.CreationDate) AS Year_Data FROM Posts AS P WHERE P.PostTypeId = 1 GROUP BY YEAR(P.CreationDate) | SELECT COUNT("P"."Id") AS "Posts", YEAR("P"."CreationDate") AS "Year_Data" FROM "Posts" "P" WHERE "P"."PostTypeId" = 1 GROUP BY YEAR("P"."CreationDate") | 0.148438 |
CREATE TABLE table_44765 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| What is the average value of Overall, when Round is greater than 11, and when Pick is greater than 10? | SELECT AVG("Overall") FROM table_44765 WHERE "Round" > '11' AND "Pick" > '10' | SELECT AVG("Overall") FROM "table_44765" WHERE "Pick" > '10' AND "Round" > '11' | 0.077148 |
CREATE TABLE table_4187 ("#" CLOB, "Project" CLOB, "Shipyard" CLOB, "Laid down" CLOB, "Launched" CLOB, "Commissioned" CLOB, "Status" CLOB)
| where is the boat area that began on november 30, 1970 | SELECT "Shipyard" FROM table_4187 WHERE "Commissioned" = 'November 30, 1970' | SELECT "Shipyard" FROM "table_4187" WHERE "Commissioned" = 'November 30, 1970' | 0.076172 |
CREATE TABLE table_55435 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the average Attendance at Venue A on 16 October 2004? | SELECT AVG("Attendance") FROM table_55435 WHERE "Venue" = 'a' AND "Date" = '16 october 2004' | SELECT AVG("Attendance") FROM "table_55435" WHERE "Date" = '16 october 2004' AND "Venue" = 'a' | 0.091797 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath C... | until 3 years ago, what are the top three most frequently prescribed drugs for patients in the 50s? | SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 50 AND 59) AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-3 year') GR... | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 59 AND "patient"."age" >= 50 GROUP BY "patientunitstayid"), "t1" AS (SELECT "medication"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "medication"."pati... | 0.524414 |
CREATE TABLE table_42556 ("Date" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Set 3" CLOB, "Set 4" CLOB, "Set 5" CLOB, "Total" CLOB)
| Which set 3 has a Set 1 of 19-25, and a Set 2 of 19-25? | SELECT "Set 3" FROM table_42556 WHERE "Set 1" = '19-25' AND "Set 2" = '19-25' | SELECT "Set 3" FROM "table_42556" WHERE "Set 1" = '19-25' AND "Set 2" = '19-25' | 0.077148 |
CREATE TABLE table_10591 ("Governorate" CLOB, "Name in Russian" CLOB, "Name in Polish" CLOB, "Seat" CLOB, "Area , in thousands of km 2" FLOAT, "Population , in thousands , ( 1905 ) " FLOAT)
| Tell me the name in polish for radom seat | SELECT "Name in Polish" FROM table_10591 WHERE "Seat" = 'radom' | SELECT "Name in Polish" FROM "table_10591" WHERE "Seat" = 'radom' | 0.063477 |
CREATE TABLE table_name_68 (location VARCHAR2, game NUMBER)
| What is the location of the game that has a number smaller than 2? | SELECT location FROM table_name_68 WHERE game < 2 | SELECT "location" FROM "table_name_68" WHERE "game" < 2 | 0.053711 |
CREATE TABLE table_name_32 (week NUMBER, date VARCHAR2)
| Which Week is on sunday november 28? | SELECT MIN(week) FROM table_name_32 WHERE date = "sunday november 28" | SELECT MIN("week") FROM "table_name_32" WHERE "date" = "sunday november 28" | 0.073242 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, give me the comparison about the average of revenue over the founder , and group by attribute founder by a bar chart, show by the x-axis in asc. | SELECT Founder, AVG(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder | SELECT "Founder", AVG("Revenue") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" | 0.150391 |
CREATE TABLE table_name_98 (high_assists VARCHAR2, high_points VARCHAR2)
| What was the high assists from a high points of dorell wright (20)? | SELECT high_assists FROM table_name_98 WHERE high_points = "dorell wright (20)" | SELECT "high_assists" FROM "table_name_98" WHERE "dorell wright (20)" = "high_points" | 0.083008 |
CREATE TABLE table_train_206 ("id" NUMBER, "gender" CLOB, "pregnancy_or_lactation" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "hematocrit_hct" FLOAT, "diabetic" CLOB, "contraception" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "serum_creatinine" FLOAT, "NOUSE" FLOAT)
| not pregnant and willing to take appropriate contraceptive measures if capable of becoming pregnant; | SELECT * FROM table_train_206 WHERE pregnancy_or_lactation = 0 AND contraception = 1 | SELECT * FROM "table_train_206" WHERE "contraception" = 1 AND "pregnancy_or_lactation" = 0 | 0.087891 |
CREATE TABLE Player (pID NUMBER, pName VARCHAR2, yCard VARCHAR2, HS NUMBER)
CREATE TABLE College (cName VARCHAR2, state VARCHAR2, enr NUMBER)
CREATE TABLE Tryout (pID NUMBER, cName VARCHAR2, pPos VARCHAR2, decision VARCHAR2)
| Give me a pie to show minimal enr from different state. | SELECT state, MIN(enr) FROM College GROUP BY state | SELECT "state", MIN("enr") FROM "College" GROUP BY "state" | 0.056641 |
CREATE TABLE table_name_68 (winners_club VARCHAR2, event VARCHAR2)
| Which Winners club has an Event of hang tight? | SELECT winners_club FROM table_name_68 WHERE event = "hang tight" | SELECT "winners_club" FROM "table_name_68" WHERE "event" = "hang tight" | 0.069336 |
CREATE TABLE table_50869 ("Round" CLOB, "Location" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning Driver" CLOB)
| What was the round number for March 22? | SELECT "Round" FROM table_50869 WHERE "Date" = 'march 22' | SELECT "Round" FROM "table_50869" WHERE "Date" = 'march 22' | 0.057617 |
CREATE TABLE table_name_39 (total NUMBER, player VARCHAR2)
| count the the average Total of ian baker-finch? | SELECT AVG(total) FROM table_name_39 WHERE player = "ian baker-finch" | SELECT AVG("total") FROM "table_name_39" WHERE "ian baker-finch" = "player" | 0.073242 |
CREATE TABLE table_204_697 (id NUMBER, "song" CLOB, "artist ( s ) " CLOB, "concert" NUMBER, "film" NUMBER, "1978 album" NUMBER, "2002 album" NUMBER)
| how many songs in total ? | SELECT COUNT("song") FROM table_204_697 | SELECT COUNT("song") FROM "table_204_697" | 0.040039 |
CREATE TABLE news_report (journalist_id NUMBER, event_id NUMBER, work_type CLOB)
CREATE TABLE event (event_id NUMBER, date CLOB, venue CLOB, name CLOB, event_attendance NUMBER)
CREATE TABLE journalist (journalist_id NUMBER, name CLOB, nationality CLOB, age CLOB, years_working NUMBER)
| Show the names of journalists and the dates of the events they reported. | SELECT T3.name, T2.date FROM news_report AS T1 JOIN event AS T2 ON T1.event_id = T2.event_id JOIN journalist AS T3 ON T1.journalist_id = T3.journalist_id | SELECT "T3"."name", "T2"."date" FROM "news_report" "T1" JOIN "event" "T2" ON "T1"."event_id" = "T2"."event_id" JOIN "journalist" "T3" ON "T1"."journalist_id" = "T3"."journalist_id" | 0.175781 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate ... | Questions with more than n answers. | SELECT q.Id, q.Title, q.Body, q.AnswerCount, a.Id, a.Body, q.CreationDate, a.CreationDate, q.ClosedDate, a.ClosedDate, q.ViewCount, q.OwnerUserId, a.OwnerUserId, q.FavoriteCount FROM Posts AS q INNER JOIN Posts AS a ON a.ParentId = q.Id WHERE q.PostTypeId = 1 AND a.PostTypeId = 2 AND q.AnswerCount >= 10 | SELECT "q"."Id", "q"."Title", "q"."Body", "q"."AnswerCount", "a"."Id", "a"."Body", "q"."CreationDate", "a"."CreationDate", "q"."ClosedDate", "a"."ClosedDate", "q"."ViewCount", "q"."OwnerUserId", "a"."OwnerUserId", "q"."FavoriteCount" FROM "Posts" "q" JOIN "Posts" "a" ON "a"."ParentId" = "q"."Id" AND "a"."PostTypeId" = ... | 0.367188 |
CREATE TABLE table_name_90 (visiting_team VARCHAR2, stadium VARCHAR2)
| What was the name of the Visiting team at Jack Murphy Stadium? | SELECT visiting_team FROM table_name_90 WHERE stadium = "jack murphy stadium" | SELECT "visiting_team" FROM "table_name_90" WHERE "jack murphy stadium" = "stadium" | 0.081055 |
CREATE TABLE table_name_31 (year_s__won VARCHAR2, total NUMBER)
| Which Year(s) won has a Total larger than 295? | SELECT year_s__won FROM table_name_31 WHERE total > 295 | SELECT "year_s__won" FROM "table_name_31" WHERE "total" > 295 | 0.05957 |
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CL... | Highest scoring answers with at least one image. | SELECT Id AS "post_link", Score, CreationDate, LENGTH(Body) FROM Posts WHERE PostTypeId = 2 AND Body LIKE '%<img%' ORDER BY Score DESC, LENGTH(Body) | SELECT "Id" AS "post_link", "Score", "CreationDate", LENGTH("Body") FROM "Posts" WHERE "Body" LIKE '%<img%' AND "PostTypeId" = 2 ORDER BY "Score" DESC, LENGTH("Body") | 0.162109 |
CREATE TABLE table_41018 ("Team" CLOB, "Tries for" FLOAT, "Tries against" FLOAT, "Try diff" CLOB, "Points for" FLOAT, "Points against" FLOAT, "Points diff" CLOB)
| What Tries for has a Team of neath, and Points against larger than 109? | SELECT SUM("Tries for") FROM table_41018 WHERE "Team" = 'neath' AND "Points against" > '109' | SELECT SUM("Tries for") FROM "table_41018" WHERE "Points against" > '109' AND "Team" = 'neath' | 0.091797 |
CREATE TABLE player (POSITION VARCHAR2, Points NUMBER)
| List the position of players and the average number of points of players of each position. | SELECT POSITION, AVG(Points) FROM player GROUP BY POSITION | SELECT "POSITION", AVG("Points") FROM "player" GROUP BY "POSITION" | 0.064453 |
CREATE TABLE table_name_1 (shot_pct NUMBER, ends_won VARCHAR2, ends_lost VARCHAR2)
| What is the smallest shot % with ends won larger than 29 and ends lost smaller than 26? | SELECT MIN(shot_pct) FROM table_name_1 WHERE ends_won > 29 AND ends_lost < 26 | SELECT MIN("shot_pct") FROM "table_name_1" WHERE "ends_lost" < 26 AND "ends_won" > 29 | 0.083008 |
CREATE TABLE table_59797 ("Season" CLOB, "League" CLOB, "Teams" CLOB, "Home" CLOB, "Away" CLOB)
| Which season had a home 2-3? | SELECT "Season" FROM table_59797 WHERE "Home" = '2-3' | SELECT "Season" FROM "table_59797" WHERE "Home" = '2-3' | 0.053711 |
CREATE TABLE table_53077 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What team was the home team when the home team score was 26.14 (170)? | SELECT "Home team" FROM table_53077 WHERE "Home team score" = '26.14 (170)' | SELECT "Home team" FROM "table_53077" WHERE "Home team score" = '26.14 (170)' | 0.075195 |
CREATE TABLE table_name_31 (score VARCHAR2, date VARCHAR2)
| What is Score, when Date is 'June 8, 1996'? | SELECT score FROM table_name_31 WHERE date = "june 8, 1996" | SELECT "score" FROM "table_name_31" WHERE "date" = "june 8, 1996" | 0.063477 |
CREATE TABLE player (Sponsor_name VARCHAR2, Residence VARCHAR2)
| Show the names of sponsors of players whose residence is either 'Brandon' or 'Birtle'. | SELECT Sponsor_name FROM player WHERE Residence = "Brandon" OR Residence = "Birtle" | SELECT "Sponsor_name" FROM "player" WHERE "Birtle" = "Residence" OR "Brandon" = "Residence" | 0.088867 |
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, conne... | i need to find a flight from PHILADELPHIA to SAN FRANCISCO that has a stopover in DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CIT... | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1... | 0.78418 |
CREATE TABLE table_67216 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Title" CLOB, "Result" CLOB)
| What Category has a Result of Nominated, Year of 2006, and the Title of Pierrepoint? | SELECT "Category" FROM table_67216 WHERE "Result" = 'nominated' AND "Year" = '2006' AND "Title" = 'pierrepoint' | SELECT "Category" FROM "table_67216" WHERE "Result" = 'nominated' AND "Title" = 'pierrepoint' AND "Year" = '2006' | 0.110352 |
CREATE TABLE table_17078 ("Player" CLOB, "Position" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB)
| Which college has the player Rushel Shell? | SELECT "College" FROM table_17078 WHERE "Player" = 'Rushel Shell' | SELECT "College" FROM "table_17078" WHERE "Player" = 'Rushel Shell' | 0.06543 |
CREATE TABLE table_1310499_1 (rev VARCHAR2, application VARCHAR2)
| What is the rev for all of the Aston Martin applications? | SELECT rev FROM table_1310499_1 WHERE application = "Aston Martin" | SELECT "rev" FROM "table_1310499_1" WHERE "Aston Martin" = "application" | 0.070313 |
CREATE TABLE table_13050003_2 (blocks VARCHAR2, points VARCHAR2)
| Who are the blockers where points are scored by Zach Randolph (24)? | SELECT blocks FROM table_13050003_2 WHERE points = "Zach Randolph (24)" | SELECT "blocks" FROM "table_13050003_2" WHERE "Zach Randolph (24)" = "points" | 0.075195 |
CREATE TABLE table_15960 ("Song" CLOB, "Mobiles" FLOAT, "Northern Ireland" FLOAT, "Northern England" FLOAT, "Scotland" FLOAT, "Southern England" FLOAT, "Wales" FLOAT, "Total" FLOAT)
| What is the total number of votes if Scotland cast 35? | SELECT COUNT("Scotland") FROM table_15960 WHERE "Total" = '35' | SELECT COUNT("Scotland") FROM "table_15960" WHERE "Total" = '35' | 0.0625 |
CREATE TABLE representative (representative_id NUMBER, name CLOB, state CLOB, party CLOB, lifespan CLOB)
CREATE TABLE election (election_id NUMBER, representative_id NUMBER, date CLOB, votes NUMBER, vote_percent NUMBER, seats NUMBER, place NUMBER)
| What are the life spans of representatives from New York state or Indiana state? | SELECT lifespan FROM representative WHERE state = "New York" OR state = "Indiana" | SELECT "lifespan" FROM "representative" WHERE "Indiana" = "state" OR "New York" = "state" | 0.086914 |
CREATE TABLE playlist (playlistid NUMBER, name CLOB)
CREATE TABLE invoiceline (invoicelineid NUMBER, invoiceid NUMBER, trackid NUMBER, unitprice NUMBER, quantity NUMBER)
CREATE TABLE album (albumid NUMBER, title CLOB, artistid NUMBER)
CREATE TABLE track (trackid NUMBER, name CLOB, albumid NUMBER, mediatypeid NUMBER, ge... | Find the full names of employees living in the city of Calgary. | SELECT firstname, lastname FROM employee WHERE city = "Calgary" | SELECT "firstname", "lastname" FROM "employee" WHERE "Calgary" = "city" | 0.069336 |
CREATE TABLE table_47654 ("Pick #" FLOAT, "NFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which NFL team has a player that came from a college in Washington? | SELECT "NFL Team" FROM table_47654 WHERE "College" = 'washington' | SELECT "NFL Team" FROM "table_47654" WHERE "College" = 'washington' | 0.06543 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_y... | what is the number of patients whose admission type is urgent and procedure short title is colonoscopy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Colonoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Colonoscopy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.227539 |
CREATE TABLE table_name_78 (date VARCHAR2, away_team VARCHAR2)
| What date was the away team Morecambe? | SELECT date FROM table_name_78 WHERE away_team = "morecambe" | SELECT "date" FROM "table_name_78" WHERE "away_team" = "morecambe" | 0.064453 |
CREATE TABLE table_16799784_8 (longitude VARCHAR2, name VARCHAR2)
| What is the longitude of the feature named Razia Patera? | SELECT longitude FROM table_16799784_8 WHERE name = "Razia Patera" | SELECT "longitude" FROM "table_16799784_8" WHERE "Razia Patera" = "name" | 0.070313 |
CREATE TABLE table_name_17 (points NUMBER, opponent VARCHAR2, game VARCHAR2)
| Which Points have an Opponent of @ florida panthers, and a Game larger than 58? | SELECT MIN(points) FROM table_name_17 WHERE opponent = "@ florida panthers" AND game > 58 | SELECT MIN("points") FROM "table_name_17" WHERE "@ florida panthers" = "opponent" AND "game" > 58 | 0.094727 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity... | How many patients had the lab test named lactate dehydrogenase (ld) and had their lab test status as delta? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "delta" AND lab.label = "Lactate Dehydrogenase (LD)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Lactate Dehydrogenase (LD)" = "lab"."label" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.195313 |
CREATE TABLE party_host (Party_ID NUMBER, Host_ID NUMBER, Is_Main_in_Charge BOOLEAN)
CREATE TABLE host (Host_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB)
CREATE TABLE party (Party_ID NUMBER, Party_Theme CLOB, Location CLOB, First_year CLOB, Last_year CLOB, Number_of_hosts NUMBER)
| How many hosts does each nationality have? List the nationality and the count Visualize by bar chart, and could you sort by the x axis in ascending? | SELECT Nationality, COUNT(*) FROM host GROUP BY Nationality ORDER BY Nationality | SELECT "Nationality", COUNT(*) FROM "host" GROUP BY "Nationality" ORDER BY "Nationality" | 0.085938 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, l... | since 1 year ago, what were the top five most common intakes? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE DATETIME(inputevents_cv.charttime) >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 5) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "inputevents_cv" WHERE DATETIME("inputevents_cv"."charttime") >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "... | 0.443359 |
CREATE TABLE table_57143 ("Athlete" CLOB, "Shooting Score ( pts ) " CLOB, "Fencing Victories ( pts ) " CLOB, "Swimming Time ( pts ) " CLOB, "Riding Penalties ( pts ) " CLOB, "Running Time ( pts ) " CLOB, "Total" FLOAT)
| How many athletes had a Swimming Time (pts) of 2:20.93 (1232)? | SELECT COUNT("Total") FROM table_57143 WHERE "Swimming Time (pts)" = '2:20.93 (1232)' | SELECT COUNT("Total") FROM "table_57143" WHERE "Swimming Time (pts)" = '2:20.93 (1232)' | 0.084961 |
CREATE TABLE Student_Course_Registrations (student_id NUMBER, course_id NUMBER, registration_date DATETIME)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, city VARCHAR2, zip_postcode CHAR, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Student_Course_Attendance (student_id ... | For each course id, how many students are registered and what are the course names. Plot them as pie chart. | SELECT course_name, COUNT(*) FROM Students AS T1 JOIN Student_Course_Registrations AS T2 ON T1.student_id = T2.student_id JOIN Courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id | SELECT "course_name", COUNT(*) FROM "Students" "T1" JOIN "Student_Course_Registrations" "T2" ON "T1"."student_id" = "T2"."student_id" JOIN "Courses" "T3" ON "T2"."course_id" = "T3"."course_id" GROUP BY "T2"."course_id" | 0.212891 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title ... | how many patients diagnosed with hip pressure ulcer were admitted in hospital before 2167? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2167" AND diagnoses.short_title = "Pressure ulcer, hip" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pressure ulcer, hip" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2167" > "demographic"."admityear" | 0.225586 |
CREATE TABLE table_39473 ("Name" CLOB, "Type" CLOB, "Year Built" FLOAT, "Where Built" CLOB, "Initial Owners" CLOB)
| Who were the initial owners of Wasco in 1858? | SELECT "Initial Owners" FROM table_39473 WHERE "Year Built" = '1858' AND "Name" = 'wasco' | SELECT "Initial Owners" FROM "table_39473" WHERE "Name" = 'wasco' AND "Year Built" = '1858' | 0.088867 |
CREATE TABLE table_77890 ("Vehicle Numbers" CLOB, "Vehicle Types" CLOB, "Livery" CLOB, "Location" CLOB, "Status" CLOB)
| what livery has a status of in service as coaching stock? | SELECT "Livery" FROM table_77890 WHERE "Status" = 'in service as coaching stock' | SELECT "Livery" FROM "table_77890" WHERE "Status" = 'in service as coaching stock' | 0.080078 |
CREATE TABLE table_name_58 (points_against VARCHAR2, club VARCHAR2)
| What is the Points against for the ystradgynlais rfc club? | SELECT points_against FROM table_name_58 WHERE club = "ystradgynlais rfc" | SELECT "points_against" FROM "table_name_58" WHERE "club" = "ystradgynlais rfc" | 0.077148 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Visualize a bar chart about the distribution of Date_of_Birth and Height . | SELECT Date_of_Birth, Height FROM people | SELECT "Date_of_Birth", "Height" FROM "people" | 0.044922 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB... | what is the number of patients whose year of birth is less than 2120 and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2120" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2120" > "demographic"."dob_year" | 0.1875 |
CREATE TABLE table_41714 ("Name" CLOB, "Status" CLOB, "Authors" CLOB, "Unit" CLOB, "Location" CLOB)
| What is the Unit with a Name that is anas cheuen? | SELECT "Unit" FROM table_41714 WHERE "Name" = 'anas cheuen' | SELECT "Unit" FROM "table_41714" WHERE "Name" = 'anas cheuen' | 0.05957 |
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE journal (journalid ... | In what scholarly journals does Takashi Matsumoto publish ? | SELECT DISTINCT paper.journalid FROM author, paper, writes WHERE author.authorname = 'Takashi Matsumoto' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY paper.journalid | SELECT DISTINCT "paper"."journalid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" WHERE "author"."authorname" = 'Takashi Matsumoto' GROUP BY "paper"."journalid" | 0.236328 |
CREATE TABLE table_16074 ("Round" FLOAT, "Choice" FLOAT, "Overall" FLOAT, "Player name" CLOB, "Position" CLOB, "College" CLOB)
| Which round did Tommy Kramer play in> | SELECT "Round" FROM table_16074 WHERE "Player name" = 'Tommy Kramer' | SELECT "Round" FROM "table_16074" WHERE "Player name" = 'Tommy Kramer' | 0.068359 |
CREATE TABLE table_45109 ("Type" CLOB, "Name" CLOB, "Title" CLOB, "Royal house" CLOB, "From" CLOB)
| What is the title of Amenemhat II? | SELECT "Title" FROM table_45109 WHERE "Name" = 'amenemhat ii' | SELECT "Title" FROM "table_45109" WHERE "Name" = 'amenemhat ii' | 0.061523 |
CREATE TABLE table_48817 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| Who was the home team when Boston is the road team in game 4? | SELECT "Home Team" FROM table_48817 WHERE "Road Team" = 'boston' AND "Game" = 'game 4' | SELECT "Home Team" FROM "table_48817" WHERE "Game" = 'game 4' AND "Road Team" = 'boston' | 0.085938 |
CREATE TABLE table_28195898_1 (MIN VARCHAR2, _number VARCHAR2)
| What is the series No when the season 4 # is 18? | SELECT MIN AS № FROM table_28195898_1 WHERE _number = 18 | SELECT "MIN" AS "№" FROM "table_28195898_1" WHERE "_number" = 18 | 0.0625 |
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi FLOAT, pages_per_minute_color FLOAT, max_page_size CLOB, interface CLOB)
CREATE TABLE store_district (Store_ID NUMBER, District_ID NUMBER)
CREATE TABLE store_product (Store_ID NUMBER, Product_ID NUMBER)
CREATE TABLE district (District_ID NUMBER... | For each type of store, how many of them are there Plot them as bar chart, and display from high to low by the Y-axis. | SELECT Type, COUNT(*) FROM store GROUP BY Type ORDER BY COUNT(*) DESC | SELECT "Type", COUNT(*) FROM "store" GROUP BY "Type" ORDER BY COUNT(*) DESC | 0.073242 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd... | provide the number of patients whose gender is m and procedure long title is endoscopic sphincterotomy and papillotomy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Endoscopic sphincterotomy and papillotomy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "M" = "demographic"."gender" | 0.243164 |
CREATE TABLE table_name_25 (location VARCHAR2, date VARCHAR2)
| Where was September 5? | SELECT location FROM table_name_25 WHERE date = "september 5" | SELECT "location" FROM "table_name_25" WHERE "date" = "september 5" | 0.06543 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB... | Return a bar chart about the distribution of meter_200 and the average of ID , and group by attribute meter_200. | SELECT meter_200, AVG(ID) FROM swimmer GROUP BY meter_200 | SELECT "meter_200", AVG("ID") FROM "swimmer" GROUP BY "meter_200" | 0.063477 |
CREATE TABLE table_name_13 (province VARCHAR2, _community VARCHAR2, hometown VARCHAR2)
| What is the province for Jamao Afuera? | SELECT province, _community FROM table_name_13 WHERE hometown = "jamao afuera" | SELECT "province", "_community" FROM "table_name_13" WHERE "hometown" = "jamao afuera" | 0.083984 |
CREATE TABLE table_name_98 (high_points VARCHAR2, team VARCHAR2)
| Who had the high points in the game @ Charlotte? | SELECT high_points FROM table_name_98 WHERE team = "@ charlotte" | SELECT "high_points" FROM "table_name_98" WHERE "@ charlotte" = "team" | 0.068359 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_y... | let me know the type of admission and primary disease of patient michelle medina. | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Michelle Medina" | SELECT "demographic"."admission_type", "demographic"."diagnosis" FROM "demographic" WHERE "Michelle Medina" = "demographic"."name" | 0.126953 |
CREATE TABLE table_24247 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Survivor count" FLOAT)
| When did series number 65 originally air? | SELECT "Original air date" FROM table_24247 WHERE "No. in series" = '65' | SELECT "Original air date" FROM "table_24247" WHERE "No. in series" = '65' | 0.072266 |
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