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CREATE TABLE table_54385 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Kickoff [a ]" TEXT, "Game site" TEXT, "Attendance" TEXT, "Record" TEXT)
|
What week number did November 19, 1989 games fall on?
|
SELECT "Week" FROM table_54385 WHERE "Date" = 'november 19, 1989'
|
SELECT "Week" FROM "table_54385" WHERE "Date" = 'november 19, 1989'
| 0.06543 |
CREATE TABLE table_name_84 (college VARCHAR, round VARCHAR, position VARCHAR)
|
Which college has a defensive end with a round less than 6?
|
SELECT college FROM table_name_84 WHERE round > 6 AND position = "defensive end"
|
SELECT "college" FROM "table_name_84" WHERE "defensive end" = "position" AND "round" > 6
| 0.085938 |
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 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)
|
how many patients posses government insurance and are tested for thyroid stimulating hormone in lab?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Government" AND lab.label = "Thyroid Stimulating Hormone"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Thyroid Stimulating Hormone" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Government" = "demographic"."insurance"
| 0.21582 |
CREATE TABLE table_28819393_1 (average_votes_per_candidate INT, average__percentage_of_vote_per_candidate VARCHAR)
|
When 3.29% was the average per candidate, what was the number of average votes per candidate?
|
SELECT MIN(average_votes_per_candidate) FROM table_28819393_1 WHERE average__percentage_of_vote_per_candidate = "3.29"
|
SELECT MIN("average_votes_per_candidate") FROM "table_28819393_1" WHERE "3.29" = "average__percentage_of_vote_per_candidate"
| 0.121094 |
CREATE TABLE table_57011 ("Year" FLOAT, "Author" TEXT, "English title" TEXT, "Original title" TEXT, "Representing" TEXT)
|
What is the year for the ocean?
|
SELECT "Year" FROM table_57011 WHERE "English title" = 'the ocean'
|
SELECT "Year" FROM "table_57011" WHERE "English title" = 'the ocean'
| 0.066406 |
CREATE TABLE table_name_41 (venue VARCHAR, gross_revenue__2012_ VARCHAR)
|
Which Venue has a Gross Revenue (2012) of $179,712?
|
SELECT venue FROM table_name_41 WHERE gross_revenue__2012_ = "$179,712"
|
SELECT "venue" FROM "table_name_41" WHERE "$179,712" = "gross_revenue__2012_"
| 0.075195 |
CREATE TABLE table_2864 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
|
Where was the game played when the record was 20-6-6?
|
SELECT "Location" FROM table_2864 WHERE "Record" = '20-6-6'
|
SELECT "Location" FROM "table_2864" WHERE "Record" = '20-6-6'
| 0.05957 |
CREATE TABLE table_204_906 (id DECIMAL, "#" DECIMAL, "title" TEXT, "songwriters" TEXT, "producer ( s ) " TEXT, "performer" TEXT)
|
what is the number of songs produced by k def on the album ?
|
SELECT COUNT(*) FROM table_204_906 WHERE "songwriters" = 'k-def'
|
SELECT COUNT(*) FROM "table_204_906" WHERE "songwriters" = 'k-def'
| 0.064453 |
CREATE TABLE table_67589 ("Season" TEXT, "Prelim" TEXT, "1st round" TEXT, "2nd round" TEXT, "3rd round" TEXT, "Finals" TEXT)
|
Name the 2nd round for 1st round of l, 1 3, sjnb
|
SELECT "2nd round" FROM table_67589 WHERE "1st round" = 'l, 1–3, sjnb'
|
SELECT "2nd round" FROM "table_67589" WHERE "1st round" = 'l, 1–3, sjnb'
| 0.070313 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
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 were admitted before the year 2165 with the diagnosis icd9 code v1083?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2165" AND diagnoses.icd9_code = "V1083"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "V1083" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2165" > "demographic"."admityear"
| 0.209961 |
CREATE TABLE table_14153 ("Year" FLOAT, "September" TEXT, "October" TEXT, "November" TEXT, "December" TEXT)
|
Who is in December when November has Alexus Winston?
|
SELECT "December" FROM table_14153 WHERE "November" = 'alexus winston'
|
SELECT "December" FROM "table_14153" WHERE "November" = 'alexus winston'
| 0.070313 |
CREATE TABLE table_6130 ("Year" FLOAT, "Winner" TEXT, "Jockey" TEXT, "Trainer" TEXT, "Owner" TEXT, "Time" TEXT, "Purse" TEXT)
|
What was the purse when the trainer was Aidan O'Brien?
|
SELECT "Purse" FROM table_6130 WHERE "Trainer" = 'aidan o''brien'
|
SELECT "Purse" FROM "table_6130" WHERE "Trainer" = 'aidan o\'brien'
| 0.06543 |
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 semester (semester_id INT, semester VARCHAR, year 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 (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 area (course_id INT, area VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 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 instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
|
Are there any Spring or Summer classes available for the 100 -level ?
|
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 = 'EECS' AND course.number BETWEEN 100 AND 100 + 100 AND semester.semester IN ('SP', 'SS', 'SU') 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', 'SS', 'SU') AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' AND "course"."number" <= 200 AND "course"."number" >= 100
| 0.425781 |
CREATE TABLE table_9115 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
|
What i the try bonus with 12 losses?
|
SELECT "Try bonus" FROM table_9115 WHERE "Lost" = '12'
|
SELECT "Try bonus" FROM "table_9115" WHERE "Lost" = '12'
| 0.054688 |
CREATE TABLE table_47951 ("Date" TEXT, "Region" TEXT, "Label" TEXT, "Catalogue" TEXT, "Format" TEXT)
|
What is Label, when Date is 1987?
|
SELECT "Label" FROM table_47951 WHERE "Date" = '1987'
|
SELECT "Label" FROM "table_47951" WHERE "Date" = '1987'
| 0.053711 |
CREATE TABLE event (Id VARCHAR)
|
How many events are there?
|
SELECT COUNT(*) FROM event
|
SELECT COUNT(*) FROM "event"
| 0.027344 |
CREATE TABLE table_71474 ("Region" TEXT, "Date" TEXT, "Label" TEXT, "Format" TEXT, "Catalog" TEXT)
|
What is the catalog of the record released on May 27, 2009?
|
SELECT "Catalog" FROM table_71474 WHERE "Date" = 'may 27, 2009'
|
SELECT "Catalog" FROM "table_71474" WHERE "Date" = 'may 27, 2009'
| 0.063477 |
CREATE TABLE table_name_97 (score VARCHAR, visitor VARCHAR)
|
What was the score of the game in which the Toronto Maple Leafs were visitors?
|
SELECT score FROM table_name_97 WHERE visitor = "toronto maple leafs"
|
SELECT "score" FROM "table_name_97" WHERE "toronto maple leafs" = "visitor"
| 0.073242 |
CREATE TABLE customer (cust_ID VARCHAR, cust_name VARCHAR, acc_type CHAR, acc_bal INT, no_of_loans INT, credit_score INT, branch_ID INT, state VARCHAR)
CREATE TABLE loan (loan_ID VARCHAR, loan_type VARCHAR, cust_ID VARCHAR, branch_ID VARCHAR, amount INT)
CREATE TABLE bank (branch_ID INT, bname VARCHAR, no_of_customers INT, city VARCHAR, state VARCHAR)
|
What are the names of the different bank branches, and what are their total loan amounts. Show bar chart.
|
SELECT bname, SUM(amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_ID = T2.branch_ID GROUP BY T1.bname
|
SELECT "bname", SUM("amount") FROM "bank" AS "T1" JOIN "loan" AS "T2" ON "T1"."branch_ID" = "T2"."branch_ID" GROUP BY "T1"."bname"
| 0.126953 |
CREATE TABLE table_name_41 (points INT, team VARCHAR, wins VARCHAR)
|
Name the Points which has a Team of sportivo luque o, and Wins larger than 1?
|
SELECT MIN(points) FROM table_name_41 WHERE team = "sportivo luqueño" AND wins > 1
|
SELECT MIN("points") FROM "table_name_41" WHERE "sportivo luqueño" = "team" AND "wins" > 1
| 0.087891 |
CREATE TABLE table_38925 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Save" TEXT)
|
Which Save is on June 15?
|
SELECT "Save" FROM table_38925 WHERE "Date" = 'june 15'
|
SELECT "Save" FROM "table_38925" WHERE "Date" = 'june 15'
| 0.055664 |
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)
|
PORTUG 301 is required for which programs ?
|
SELECT DISTINCT program.name FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN program ON program.program_id = program_course.program_id WHERE course.department = 'PORTUG' AND course.number = 301
|
SELECT DISTINCT "program"."name" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "program" ON "program"."program_id" = "program_course"."program_id" WHERE "course"."department" = 'PORTUG' AND "course"."number" = 301
| 0.256836 |
CREATE TABLE Scientists (SSN INT, Name CHAR)
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
|
Give me a histogram for what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?, and list by the Name in desc.
|
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY Name DESC
|
SELECT "Name", COUNT(*) FROM "Projects" AS "T1" JOIN "AssignedTo" AS "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY "Name" DESC NULLS LAST
| 0.178711 |
CREATE TABLE table_15187794_1 (race_winner VARCHAR, no VARCHAR)
|
How many people won in No. 12
|
SELECT COUNT(race_winner) FROM table_15187794_1 WHERE no = 12
|
SELECT COUNT("race_winner") FROM "table_15187794_1" WHERE "no" = 12
| 0.06543 |
CREATE TABLE table_name_32 (date VARCHAR, attendance VARCHAR)
|
On what Date was the Attendance 73,405?
|
SELECT date FROM table_name_32 WHERE attendance = "73,405"
|
SELECT "date" FROM "table_name_32" WHERE "73,405" = "attendance"
| 0.0625 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
|
How many courses for each course description? Show me a bar chart.
|
SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) 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 CRS_DESCRIPTION
|
SELECT "CRS_DESCRIPTION", COUNT("CRS_DESCRIPTION") 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 "CRS_DESCRIPTION"
| 0.270508 |
CREATE TABLE table_name_96 (away_team VARCHAR, home_team VARCHAR)
|
What was the away team that played against Melbourne?
|
SELECT away_team FROM table_name_96 WHERE home_team = "melbourne"
|
SELECT "away_team" FROM "table_name_96" WHERE "home_team" = "melbourne"
| 0.069336 |
CREATE TABLE table_204_979 (id DECIMAL, "place" DECIMAL, "nation" TEXT, "5 hoops" TEXT, "3 balls , \ 2 ribbons" TEXT, "total" DECIMAL)
|
tell me the only country to schore below 38 total points .
|
SELECT "nation" FROM table_204_979 WHERE "total" < 38
|
SELECT "nation" FROM "table_204_979" WHERE "total" < 38
| 0.053711 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
count the patients who were diagnosed with bacteremia - community acquired since 2105.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'bacteremia - community acquired' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2105')
|
WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'bacteremia - community acquired' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2105' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL
| 0.379883 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
how much is the variation of mcv of patient 015-67291 second measured on the first hospital visit compared to the first value measured on the first hospital visit?
|
SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-67291' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'mcv' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-67291' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'mcv' ORDER BY lab.labresulttime LIMIT 1)
|
SELECT (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'mcv' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-67291' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'mcv' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-67291' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1)
| 0.926758 |
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
|
when was the first deep learning paper published ?
|
SELECT DISTINCT paper.year FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'deep learning' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid GROUP BY paper.year ORDER BY paper.year
|
SELECT DISTINCT "paper"."year" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'deep learning' GROUP BY "paper"."year" ORDER BY "paper"."year" NULLS FIRST
| 0.298828 |
CREATE TABLE table_57137 ("Year" TEXT, "Security Forces" TEXT, "Insurgents" TEXT, "Civilians" TEXT, "Total:" TEXT)
|
Name the insurgents for civilians being 49
|
SELECT "Insurgents" FROM table_57137 WHERE "Civilians" = '49'
|
SELECT "Insurgents" FROM "table_57137" WHERE "Civilians" = '49'
| 0.061523 |
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 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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, and could you rank by the Y-axis in desc?
|
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC
|
SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY SUM("DEPARTMENT_ID") DESC NULLS LAST
| 0.268555 |
CREATE TABLE table_29881 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
What date did the Hawks play against Boston?
|
SELECT "Date" FROM table_29881 WHERE "Team" = 'Boston'
|
SELECT "Date" FROM "table_29881" WHERE "Team" = 'Boston'
| 0.054688 |
CREATE TABLE table_23248940_9 (location_attendance VARCHAR, game VARCHAR)
|
Where was game number 55 played?
|
SELECT location_attendance FROM table_23248940_9 WHERE game = 55
|
SELECT "location_attendance" FROM "table_23248940_9" WHERE "game" = 55
| 0.068359 |
CREATE TABLE table_204_628 (id DECIMAL, "trial number" TEXT, "date" TEXT, "name of trial" TEXT, "celebrity/ies taking part" TEXT, "winner/number of stars" TEXT, "notes" TEXT)
|
what challenge came next after jungle falls ?
|
SELECT "name of trial" FROM table_204_628 WHERE "date" > (SELECT "date" FROM table_204_628 WHERE "name of trial" = 'jungle falls') ORDER BY "date" LIMIT 1
|
SELECT "name of trial" FROM "table_204_628" WHERE "date" > (SELECT "date" FROM "table_204_628" WHERE "name of trial" = 'jungle falls') ORDER BY "date" NULLS FIRST LIMIT 1
| 0.166016 |
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE video_games (gameid DECIMAL, gname TEXT, gtype TEXT)
CREATE TABLE plays_games (stuid DECIMAL, gameid DECIMAL, hours_played DECIMAL)
CREATE TABLE sportsinfo (stuid DECIMAL, sportname TEXT, hoursperweek DECIMAL, gamesplayed DECIMAL, onscholarship TEXT)
|
What is the total number of all football games played by scholarship students?
|
SELECT SUM(gamesplayed) FROM sportsinfo WHERE sportname = "Football" AND onscholarship = 'Y'
|
SELECT SUM("gamesplayed") FROM "sportsinfo" WHERE "Football" = "sportname" AND "onscholarship" = 'Y'
| 0.097656 |
CREATE TABLE Documents (document_date VARCHAR, document_id VARCHAR)
CREATE TABLE Documents_with_Expenses (document_id VARCHAR, budget_type_code VARCHAR)
|
What are the dates for the documents with both 'GV' type and 'SF' type expenses?
|
SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF'
|
SELECT "T1"."document_date" FROM "Documents" AS "T1" JOIN "Documents_with_Expenses" AS "T2" ON "T1"."document_id" = "T2"."document_id" AND "T2"."budget_type_code" = 'GV' INTERSECT SELECT "T1"."document_date" FROM "Documents" AS "T1" JOIN "Documents_with_Expenses" AS "T2" ON "T1"."document_id" = "T2"."document_id" AND "T2"."budget_type_code" = 'SF'
| 0.34082 |
CREATE TABLE table_name_63 (overall INT, round VARCHAR, pick__number VARCHAR)
|
What's the overall average that has a round less than 7, and a Pick # of 4?
|
SELECT AVG(overall) FROM table_name_63 WHERE round < 7 AND pick__number = 4
|
SELECT AVG("overall") FROM "table_name_63" WHERE "pick__number" = 4 AND "round" < 7
| 0.081055 |
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)
|
how many asian patients have the diagnoses titled major depressive affective disorder, single episode, unspecified?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "ASIAN" AND diagnoses.long_title = "Major depressive affective disorder, single episode, unspecified"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Major depressive affective disorder, single episode, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity"
| 0.269531 |
CREATE TABLE table_53348 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
How much time does it take for jean alesi and grids lesser than 5?
|
SELECT "Time/Retired" FROM table_53348 WHERE "Grid" < '5' AND "Driver" = 'jean alesi'
|
SELECT "Time/Retired" FROM "table_53348" WHERE "Driver" = 'jean alesi' AND "Grid" < '5'
| 0.084961 |
CREATE TABLE table_950 ("No." TEXT, "Name" TEXT, "Livery" TEXT, "Arrival" FLOAT, "Type" TEXT, "Configuration" TEXT, "Builder" TEXT, "Built" FLOAT, "Status" TEXT, "Location" TEXT)
|
Who is the builder for the location Irton Road shed
|
SELECT "Builder" FROM table_950 WHERE "Location" = 'Irton Road shed'
|
SELECT "Builder" FROM "table_950" WHERE "Location" = 'Irton Road shed'
| 0.068359 |
CREATE TABLE table_name_72 (final_episode VARCHAR, episodes_credited VARCHAR)
|
What was the final episode credited of 187?
|
SELECT final_episode FROM table_name_72 WHERE episodes_credited = 187
|
SELECT "final_episode" FROM "table_name_72" WHERE "episodes_credited" = 187
| 0.073242 |
CREATE TABLE table_name_68 (venue VARCHAR, date VARCHAR)
|
Where was the location for the August 29, 1980 game?
|
SELECT venue FROM table_name_68 WHERE date = "august 29, 1980"
|
SELECT "venue" FROM "table_name_68" WHERE "august 29, 1980" = "date"
| 0.066406 |
CREATE TABLE election (Vote_Percent INT)
|
What are the minimum and maximum vote percents of elections?
|
SELECT MIN(Vote_Percent), MAX(Vote_Percent) FROM election
|
SELECT MIN("Vote_Percent"), MAX("Vote_Percent") FROM "election"
| 0.061523 |
CREATE TABLE table_name_43 (nfl_club VARCHAR, player VARCHAR, pick VARCHAR)
|
Which NFL Club has a Player of sam tidmore, and a Pick of 81?
|
SELECT nfl_club FROM table_name_43 WHERE player = "sam tidmore" AND pick = 81
|
SELECT "nfl_club" FROM "table_name_43" WHERE "pick" = 81 AND "player" = "sam tidmore"
| 0.083008 |
CREATE TABLE table_62077 ("Dam constructed" TEXT, "Year completed" FLOAT, "Impounded body of water" TEXT, "Reservoir capacity" TEXT, "Dam wall height" TEXT, "Dam type" TEXT)
|
Which Reservoir capacity has an Impounded body of water of tumut two pondage?
|
SELECT "Reservoir capacity" FROM table_62077 WHERE "Impounded body of water" = 'tumut two pondage'
|
SELECT "Reservoir capacity" FROM "table_62077" WHERE "Impounded body of water" = 'tumut two pondage'
| 0.097656 |
CREATE TABLE phone (Name TEXT, Phone_ID INT, Memory_in_G INT, Carrier TEXT, Price FLOAT)
CREATE TABLE phone_market (Market_ID INT, Phone_ID TEXT, Num_of_stock INT)
CREATE TABLE market (Market_ID INT, District TEXT, Num_of_employees INT, Num_of_shops FLOAT, Ranking INT)
|
I want to compare the number of the names of phones by a bar chart, and show bars from high to low order.
|
SELECT Name, COUNT(Name) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY Name ORDER BY Name DESC
|
SELECT "Name", COUNT("Name") FROM "phone_market" AS "T1" JOIN "market" AS "T2" ON "T1"."Market_ID" = "T2"."Market_ID" JOIN "phone" AS "T3" ON "T1"."Phone_ID" = "T3"."Phone_ID" GROUP BY "Name" ORDER BY "Name" DESC NULLS LAST
| 0.217773 |
CREATE TABLE table_59628 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score" TEXT)
|
What is the surface when the partner was Robert Haybittel?
|
SELECT "Surface" FROM table_59628 WHERE "Partner" = 'robert haybittel'
|
SELECT "Surface" FROM "table_59628" WHERE "Partner" = 'robert haybittel'
| 0.070313 |
CREATE TABLE table_name_34 (overall INT, pick INT)
|
Which average overall has a Pick smaller than 5?
|
SELECT AVG(overall) FROM table_name_34 WHERE pick < 5
|
SELECT AVG("overall") FROM "table_name_34" WHERE "pick" < 5
| 0.057617 |
CREATE TABLE volume (volume_id DECIMAL, volume_issue TEXT, issue_date TEXT, weeks_on_top DECIMAL, song TEXT, artist_id DECIMAL)
CREATE TABLE music_festival (id DECIMAL, music_festival TEXT, date_of_ceremony TEXT, category TEXT, volume DECIMAL, result TEXT)
CREATE TABLE artist (artist_id DECIMAL, artist TEXT, age DECIMAL, famous_title TEXT, famous_release_date TEXT)
|
What are the famous title of the artists associated with volumes with more than 2 weeks on top?
|
SELECT T1.famous_title FROM artist AS T1 JOIN volume AS T2 ON T1.artist_id = T2.artist_id WHERE T2.weeks_on_top > 2
|
SELECT "T1"."famous_title" FROM "artist" AS "T1" JOIN "volume" AS "T2" ON "T1"."artist_id" = "T2"."artist_id" AND "T2"."weeks_on_top" > 2
| 0.133789 |
CREATE TABLE table_17335602_1 (winners_share___ INT, tournament VARCHAR)
|
What was the winner's share in the wegmans lpga championship?
|
SELECT MAX(winners_share___) AS $__ FROM table_17335602_1 WHERE tournament = "Wegmans LPGA Championship"
|
SELECT MAX("winners_share___") AS $__ FROM "table_17335602_1" WHERE "Wegmans LPGA Championship" = "tournament"
| 0.107422 |
CREATE TABLE table_name_96 (winning_driver VARCHAR, fastest_lap VARCHAR, winning_team VARCHAR, round VARCHAR)
|
Who was the winning driver with the winning team Opel Team Holzer 1, and a round under 9 with the fastest lap being Bernd Schneider?
|
SELECT winning_driver FROM table_name_96 WHERE winning_team = "opel team holzer 1" AND round < 9 AND fastest_lap = "bernd schneider"
|
SELECT "winning_driver" FROM "table_name_96" WHERE "bernd schneider" = "fastest_lap" AND "opel team holzer 1" = "winning_team" AND "round" < 9
| 0.138672 |
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (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 FlagTypes (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)
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name 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)
|
SELECT TOP 20 * FROM Users.
|
SELECT Title, ViewCount, 1.197 * ViewCount, ROUND(1.197 * ViewCount, 0), FLOOR(1.197 * ViewCount), CEIL(1.197 * ViewCount) FROM Posts LIMIT 20
|
SELECT "Title", "ViewCount", 1.197 * "ViewCount", ROUND(1.197 * "ViewCount", 0), FLOOR(1.197 * "ViewCount"), CEIL(1.197 * "ViewCount") FROM "Posts" LIMIT 20
| 0.152344 |
CREATE TABLE table_26409 ("Season" TEXT, "Name" TEXT, "Teams" FLOAT, "Relegated to league" TEXT, "Promoted to league" TEXT, "Promoted from league" TEXT, "Relegated from league" TEXT)
|
How many were the minimum team that participated in the league?
|
SELECT MIN("Teams") FROM table_26409
|
SELECT MIN("Teams") FROM "table_26409"
| 0.037109 |
CREATE TABLE table_14934885_1 (performer_4 VARCHAR, performer_3 VARCHAR)
|
Who was performer 4 when Kate Robbins was performer 3?
|
SELECT performer_4 FROM table_14934885_1 WHERE performer_3 = "Kate Robbins"
|
SELECT "performer_4" FROM "table_14934885_1" WHERE "Kate Robbins" = "performer_3"
| 0.079102 |
CREATE TABLE table_name_72 (laps INT, name VARCHAR, grid VARCHAR)
|
How many laps for s bastien bourdais, and a Grid smaller than 1?
|
SELECT SUM(laps) FROM table_name_72 WHERE name = "sébastien bourdais" AND grid < 1
|
SELECT SUM("laps") FROM "table_name_72" WHERE "grid" < 1 AND "name" = "sébastien bourdais"
| 0.087891 |
CREATE TABLE customer_payments (customer_id DECIMAL, datetime_payment TIME, payment_method_code TEXT, amount_payment DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, staff_address_id DECIMAL, nickname TEXT, first_name TEXT, middle_name TEXT, last_name TEXT, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
CREATE TABLE customers (customer_id DECIMAL, customer_address_id DECIMAL, customer_status_code TEXT, date_became_customer TIME, date_of_birth TIME, first_name TEXT, last_name TEXT, amount_outstanding DECIMAL, email_address TEXT, phone_number TEXT, cell_mobile_phone_number TEXT)
CREATE TABLE lessons (lesson_id DECIMAL, customer_id DECIMAL, lesson_status_code TEXT, staff_id DECIMAL, vehicle_id DECIMAL, lesson_date TIME, lesson_time TEXT, price DECIMAL)
CREATE TABLE addresses (address_id DECIMAL, line_1_number_building TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE vehicles (vehicle_id DECIMAL, vehicle_details TEXT)
|
What is the first name of the staff who did not give any lesson?
|
SELECT first_name FROM staff EXCEPT SELECT T2.first_name FROM lessons AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id
|
SELECT "first_name" FROM "staff" EXCEPT SELECT "T2"."first_name" FROM "lessons" AS "T1" JOIN "staff" AS "T2" ON "T1"."staff_id" = "T2"."staff_id"
| 0.141602 |
CREATE TABLE table_name_89 (score VARCHAR, tie_no VARCHAR)
|
What was the score when the Tie no was 6?
|
SELECT score FROM table_name_89 WHERE tie_no = 6
|
SELECT "score" FROM "table_name_89" WHERE "tie_no" = 6
| 0.052734 |
CREATE TABLE table_name_71 (matches VARCHAR, team VARCHAR, average VARCHAR)
|
How many matches did Atl tico Ciudad have with an average higher than 0.61?
|
SELECT COUNT(matches) FROM table_name_71 WHERE team = "atlético ciudad" AND average > 0.61
|
SELECT COUNT("matches") FROM "table_name_71" WHERE "atlético ciudad" = "team" AND "average" > 0.61
| 0.095703 |
CREATE TABLE table_name_90 (bronze VARCHAR, total VARCHAR, gold VARCHAR)
|
What is the total number of bronze medals with a total of 4 medals and 1 gold medal?
|
SELECT COUNT(bronze) FROM table_name_90 WHERE total = 4 AND gold = 1
|
SELECT COUNT("bronze") FROM "table_name_90" WHERE "gold" = 1 AND "total" = 4
| 0.074219 |
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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
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 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 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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
|
since 2 years ago how many patients have had circumcision in the same hospital visit after the first venous cath nec?
|
SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id 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 = 'venous cath nec') AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id 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 = 'circumcision') AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id
|
WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'circumcision' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-2 year')) 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" = 'venous cath nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" WHERE DATETIME("procedures_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-2 year')
| 0.9375 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
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)
|
Calculate the total number of patients who had myelodysplastic syndrome (unspecified) that were treated with base drug
|
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 = "Myelodysplastic syndrome, unspecified" AND prescriptions.drug_type = "BASE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Myelodysplastic syndrome, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.316406 |
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Accept rate in rep range.
|
SELECT COUNT(AcceptedAnswerId) * 1.0 / COUNT(*) AS rate, COUNT(*) AS total FROM Users, Posts WHERE Posts.PostTypeId = 1 AND OwnerUserId = Users.Id AND Reputation >= '##minReputation##' AND Reputation <= '##maxReputation##'
|
SELECT COUNT("AcceptedAnswerId") * 1.0 / NULLIF(COUNT(*), 0) AS "rate", COUNT(*) AS "total" FROM "Users" JOIN "Posts" ON "Posts"."PostTypeId" = 1 WHERE "OwnerUserId" = "Users"."Id" AND "Reputation" <= '##maxReputation##' AND "Reputation" >= '##minReputation##'
| 0.253906 |
CREATE TABLE table_22099 ("Player" TEXT, "Alma Mater" TEXT, "National Lacrosse League" TEXT, "Major League Lacrosse" TEXT, "International Competition" TEXT)
|
What university did Steve Hoar attend.
|
SELECT "Alma Mater" FROM table_22099 WHERE "Player" = 'Steve Hoar'
|
SELECT "Alma Mater" FROM "table_22099" WHERE "Player" = 'Steve Hoar'
| 0.066406 |
CREATE TABLE table_80071 ("Outcome" TEXT, "Year" FLOAT, "Tournament" TEXT, "Partner" TEXT, "Opponent" TEXT)
|
Who was Choong Tan Fook's opponent in 1999?
|
SELECT "Opponent" FROM table_80071 WHERE "Year" = '1999' AND "Partner" = 'choong tan fook'
|
SELECT "Opponent" FROM "table_80071" WHERE "Partner" = 'choong tan fook' AND "Year" = '1999'
| 0.089844 |
CREATE TABLE table_4920 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What is the away team's score when the Home team score is 19.15 (129)?
|
SELECT "Away team score" FROM table_4920 WHERE "Home team score" = '19.15 (129)'
|
SELECT "Away team score" FROM "table_4920" WHERE "Home team score" = '19.15 (129)'
| 0.080078 |
CREATE TABLE table_75009 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
|
Segment B of aerospace fuel lines has what segment A?
|
SELECT "Segment A" FROM table_75009 WHERE "Segment B" = 'aerospace fuel lines'
|
SELECT "Segment A" FROM "table_75009" WHERE "Segment B" = 'aerospace fuel lines'
| 0.078125 |
CREATE TABLE table_train_240 ("id" INT, "anemia" BOOLEAN, "gender" TEXT, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "estimated_glomerular_filtration_rate_egfr" INT, "diastolic_blood_pressure_dbp" INT, "insulin_requirement" FLOAT, "kidney_disease" BOOLEAN, "body_mass_index_bmi" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
|
uncontrolled arterial hypertension ( resting diastolic blood pressure > 90 mmhg and / or systolic blood pressure > 160 mmhg ) at the time of screening
|
SELECT * FROM table_train_240 WHERE hypertension = 1 OR (diastolic_blood_pressure_dbp > 90 OR systolic_blood_pressure_sbp > 160)
|
SELECT * FROM "table_train_240" WHERE "diastolic_blood_pressure_dbp" > 90 OR "hypertension" = 1 OR "systolic_blood_pressure_sbp" > 160
| 0.130859 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
among patients that were prescribed with pyridostigmine bromide, what were the four most frequently prescribed drugs at the same time, since 2100.
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'pyridostigmine bromide' AND STRFTIME('%y', prescriptions.startdate) >= '2100') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) >= '2100') AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") >= '2100'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'pyridostigmine bromide' AND STRFTIME('%y', "prescriptions"."startdate") >= '2100' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4
| 0.751953 |
CREATE TABLE table_name_37 (year INT, time VARCHAR)
|
What is the most recent year with a time of 10.56?
|
SELECT MAX(year) FROM table_name_37 WHERE time = 10.56
|
SELECT MAX("year") FROM "table_name_37" WHERE "time" = 10.56
| 0.058594 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id 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 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 semester (semester_id INT, semester VARCHAR, year INT)
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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 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)
|
The Fall 2005 CMBIOL 995 classes are taught by how many professors ?
|
SELECT COUNT(DISTINCT instructor.instructor_id) FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'CMBIOL' AND course.number = 995 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'Fall' AND semester.semester_id = course_offering.semester AND semester.year = 2005
|
SELECT COUNT(DISTINCT "instructor"."instructor_id") FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Fall' AND "semester"."year" = 2005 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'CMBIOL' AND "course"."number" = 995
| 0.527344 |
CREATE TABLE table_52397 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
Tell me the total number of Grid for Bob Evans and Laps less than 68
|
SELECT COUNT("Grid") FROM table_52397 WHERE "Driver" = 'bob evans' AND "Laps" < '68'
|
SELECT COUNT("Grid") FROM "table_52397" WHERE "Driver" = 'bob evans' AND "Laps" < '68'
| 0.083984 |
CREATE TABLE table_1392 ("Television Station" TEXT, "Frequency" TEXT, "Site" TEXT, "Transmitted" TEXT, "Network" TEXT, "Status" TEXT, "Country of Region" TEXT)
|
How many stations have a 35 uhf frequency?
|
SELECT COUNT("Television Station") FROM table_1392 WHERE "Frequency" = '35 UHF'
|
SELECT COUNT("Television Station") FROM "table_1392" WHERE "Frequency" = '35 UHF'
| 0.079102 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 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 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
|
when was the first time in which patient 92721 received a dx ultrasound-heart procedure since 2105?
|
SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'dx ultrasound-heart') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92721) AND STRFTIME('%y', procedures_icd.charttime) >= '2105' ORDER BY procedures_icd.charttime LIMIT 1
|
WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 92721 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'dx ultrasound-heart' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") >= '2105' ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1
| 0.532227 |
CREATE TABLE table_60904 ("Name" TEXT, "Mail transfer agent" TEXT, "Mail storage type" TEXT, "IMAP server" TEXT, "IMAP shared" TEXT, "Calendar format" TEXT, "Calendar shared" TEXT, "IM server" TEXT, "WebDAV" TEXT, "Web UI" TEXT, "Contacts shared" TEXT, "Files shared" TEXT, "Web admin UI" TEXT)
|
What IMAP sharing options exist for software with a web UI?
|
SELECT "IMAP shared" FROM table_60904 WHERE "Web UI" = 'web ui'
|
SELECT "IMAP shared" FROM "table_60904" WHERE "Web UI" = 'web ui'
| 0.063477 |
CREATE TABLE table_66161 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "School" TEXT)
|
What is John Curtice's position?
|
SELECT "Position" FROM table_66161 WHERE "Player" = 'john curtice'
|
SELECT "Position" FROM "table_66161" WHERE "Player" = 'john curtice'
| 0.066406 |
CREATE TABLE table_name_71 (rank INT, rider VARCHAR)
|
How many ranks have michael russell as the rider?
|
SELECT SUM(rank) FROM table_name_71 WHERE rider = "michael russell"
|
SELECT SUM("rank") FROM "table_name_71" WHERE "michael russell" = "rider"
| 0.071289 |
CREATE TABLE table_204_227 (id DECIMAL, "week" DECIMAL, "date" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "record" TEXT)
|
how many teams played them in october ?
|
SELECT COUNT(*) FROM table_204_227 WHERE "date" = 10
|
SELECT COUNT(*) FROM "table_204_227" WHERE "date" = 10
| 0.052734 |
CREATE TABLE table_name_21 (constructor VARCHAR, race VARCHAR)
|
Who was the Constructor at the Argentine Grand Prix?
|
SELECT constructor FROM table_name_21 WHERE race = "argentine grand prix"
|
SELECT "constructor" FROM "table_name_21" WHERE "argentine grand prix" = "race"
| 0.077148 |
CREATE TABLE table_79035 ("South West DFL" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
|
Which draws have an average of 14 wins?
|
SELECT AVG("Draws") FROM table_79035 WHERE "Wins" = '14'
|
SELECT AVG("Draws") FROM "table_79035" WHERE "Wins" = '14'
| 0.056641 |
CREATE TABLE table_36513 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What score was on July 25?
|
SELECT "Score" FROM table_36513 WHERE "Date" = 'july 25'
|
SELECT "Score" FROM "table_36513" WHERE "Date" = 'july 25'
| 0.056641 |
CREATE TABLE table_name_36 (record VARCHAR, home VARCHAR)
|
What is the Record when Buffalo is at Home?
|
SELECT record FROM table_name_36 WHERE home = "buffalo"
|
SELECT "record" FROM "table_name_36" WHERE "buffalo" = "home"
| 0.05957 |
CREATE TABLE table_63053 ("Rank" FLOAT, "Lane" FLOAT, "Athlete" TEXT, "Country" TEXT, "Time" FLOAT, "React" FLOAT)
|
What is the lowest of the athlete from sri lanka who has a lane greater than 8?
|
SELECT MIN("React") FROM table_63053 WHERE "Country" = 'sri lanka' AND "Lane" > '8'
|
SELECT MIN("React") FROM "table_63053" WHERE "Country" = 'sri lanka' AND "Lane" > '8'
| 0.083008 |
CREATE TABLE table_58206 ("Club" TEXT, "Position in 2012\\u201313" TEXT, "First season in top division" TEXT, "Number of seasons in Ligue 1" FLOAT, "First season of current spell in top division" TEXT, "Ligue 1 titles" FLOAT, "Last Ligue 1 title" TEXT)
|
I want to know the lowest ligue 1 titles for position in 2012-13 of 010 12th and number of seasons in ligue 1 more than 56
|
SELECT MIN("Ligue 1 titles") FROM table_58206 WHERE "Position in 2012\u201313" = '010 12th' AND "Number of seasons in Ligue 1" > '56'
|
SELECT MIN("Ligue 1 titles") FROM "table_58206" WHERE "Number of seasons in Ligue 1" > '56' AND "Position in 2012\u201313" = '010 12th'
| 0.131836 |
CREATE TABLE table_name_44 (pinyin VARCHAR, county VARCHAR)
|
Which Pinyin has a County of changhua?
|
SELECT pinyin FROM table_name_44 WHERE county = "changhua"
|
SELECT "pinyin" FROM "table_name_44" WHERE "changhua" = "county"
| 0.0625 |
CREATE TABLE table_name_63 (weight VARCHAR, born VARCHAR)
|
What is the weight of the person born in 1980?
|
SELECT weight FROM table_name_63 WHERE born = "1980"
|
SELECT "weight" FROM "table_name_63" WHERE "1980" = "born"
| 0.056641 |
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
|
I want to see trend of the number of season by season, order by the x-axis in asc.
|
SELECT Season, COUNT(Season) FROM game GROUP BY Season ORDER BY Season
|
SELECT "Season", COUNT("Season") FROM "game" GROUP BY "Season" ORDER BY "Season" NULLS FIRST
| 0.089844 |
CREATE TABLE table_name_85 (total INT, bronze VARCHAR, nation VARCHAR)
|
What is the lowest total when the Bronze metals are larger than 0 and the nation is France (fra)?
|
SELECT MIN(total) FROM table_name_85 WHERE bronze > 0 AND nation = "france (fra)"
|
SELECT MIN("total") FROM "table_name_85" WHERE "bronze" > 0 AND "france (fra)" = "nation"
| 0.086914 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
|
For all employees who have the letters D or S in their first name, return a scatter chart about the correlation between commission_pct and manager_id .
|
SELECT COMMISSION_PCT, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "COMMISSION_PCT", "MANAGER_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.108398 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 compartment_class (compartment VARCHAR, class_type 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
|
list all flights leaving SAN FRANCISCO monday afternoon arriving in 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, date_day, days, flight WHERE (((flight.departure_time BETWEEN 1200 AND 1800) AND date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 21 AND "date_day"."month_number" = 2 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1200 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH'
| 0.788086 |
CREATE TABLE Catalogs (catalog_id INT, catalog_name VARCHAR, catalog_publisher VARCHAR, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Attribute_Definitions (attribute_id INT, attribute_name VARCHAR, attribute_data_type VARCHAR)
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id INT, catalog_level_number INT, attribute_id INT, attribute_value VARCHAR)
CREATE TABLE Catalog_Contents (catalog_entry_id INT, catalog_level_number INT, parent_entry_id INT, previous_entry_id INT, next_entry_id INT, catalog_entry_name VARCHAR, product_stock_number VARCHAR, price_in_dollars DOUBLE, price_in_euros DOUBLE, price_in_pounds DOUBLE, capacity VARCHAR, length VARCHAR, height VARCHAR, width VARCHAR)
CREATE TABLE Catalog_Structure (catalog_level_number INT, catalog_id INT, catalog_level_name VARCHAR)
|
Give me a histogram for what are the name and level of catalog structure with level number between 5 and 10
|
SELECT catalog_level_name, catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10
|
SELECT "catalog_level_name", "catalog_level_number" FROM "Catalog_Structure" WHERE "catalog_level_number" <= 10 AND "catalog_level_number" >= 5
| 0.139648 |
CREATE TABLE table_28513 ("Institution" TEXT, "Location" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Nickname" TEXT, "Joined" TEXT)
|
what type was joined in 1902 5?
|
SELECT "Type" FROM table_28513 WHERE "Joined" = '1902 5'
|
SELECT "Type" FROM "table_28513" WHERE "Joined" = '1902 5'
| 0.056641 |
CREATE TABLE table_name_84 (points INT, place VARCHAR, draw VARCHAR)
|
What is the highest point total that placed 3rd and has a draw larger than 5?
|
SELECT MAX(points) FROM table_name_84 WHERE place = "3rd" AND draw > 5
|
SELECT MAX("points") FROM "table_name_84" WHERE "3rd" = "place" AND "draw" > 5
| 0.076172 |
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 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)
|
how many patients whose admission year is less than 2105 and diagnoses long title is stevens-johnson syndrome-toxic epidermal necrolysis overlap syndrome?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2105" AND diagnoses.long_title = "Stevens-Johnson syndrome-toxic epidermal necrolysis overlap syndrome"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Stevens-Johnson syndrome-toxic epidermal necrolysis overlap syndrome" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2105" > "demographic"."admityear"
| 0.272461 |
CREATE TABLE Document_Sections_Images (section_id INT, image_id INT)
CREATE TABLE Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Users (user_id INT, role_code VARCHAR, user_name VARCHAR, user_login VARCHAR, password VARCHAR)
CREATE TABLE Functional_Areas (functional_area_code VARCHAR, parent_functional_area_code VARCHAR, functional_area_description VARCHAR)
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR)
CREATE TABLE Document_Structures (document_structure_code VARCHAR, parent_document_structure_code VARCHAR, document_structure_description VARCHAR)
CREATE TABLE Images (image_id INT, image_alt_text VARCHAR, image_name VARCHAR, image_url VARCHAR)
CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count INT, document_name VARCHAR)
CREATE TABLE Document_Sections (section_id INT, document_code VARCHAR, section_sequence INT, section_code VARCHAR, section_title VARCHAR)
|
Find the number of users in each role Plot them as bar chart, and sort by the names in ascending.
|
SELECT role_code, COUNT(*) FROM Users GROUP BY role_code ORDER BY role_code
|
SELECT "role_code", COUNT(*) FROM "Users" GROUP BY "role_code" ORDER BY "role_code" NULLS FIRST
| 0.092773 |
CREATE TABLE table_name_19 (episode VARCHAR, year VARCHAR, show VARCHAR)
|
What is the Episode number of Ernest Dickerson in 2009 when the show was dexter?
|
SELECT episode FROM table_name_19 WHERE year = 2009 AND show = "dexter"
|
SELECT "episode" FROM "table_name_19" WHERE "dexter" = "show" AND "year" = 2009
| 0.077148 |
CREATE TABLE table_25055040_22 (youth_classification VARCHAR, sprint_classification VARCHAR, most_courageous VARCHAR)
|
When Mark Cavendish wins sprint classification and Maarten Tjallingii wins most courageous, who wins youth classification?
|
SELECT youth_classification FROM table_25055040_22 WHERE sprint_classification = "Mark Cavendish" AND most_courageous = "Maarten Tjallingii"
|
SELECT "youth_classification" FROM "table_25055040_22" WHERE "Maarten Tjallingii" = "most_courageous" AND "Mark Cavendish" = "sprint_classification"
| 0.144531 |
CREATE TABLE table_name_34 (location VARCHAR, mascot VARCHAR)
|
Which Location has a Mascot of tigers?
|
SELECT location FROM table_name_34 WHERE mascot = "tigers"
|
SELECT "location" FROM "table_name_34" WHERE "mascot" = "tigers"
| 0.0625 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Return a bar chart about the distribution of All_Home and School_ID , and group by attribute ACC_Home, and sort by the y-axis from high to low.
|
SELECT All_Home, School_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY School_ID DESC
|
SELECT "All_Home", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "All_Home" ORDER BY "School_ID" DESC NULLS LAST
| 0.120117 |
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