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CREATE TABLE table_name_69 (team VARCHAR, points VARCHAR, year VARCHAR)
| What team did carlos cardus drive for in 1983 when he got less than 21 points? | SELECT team FROM table_name_69 WHERE points < 21 AND year = 1983 | SELECT "team" FROM "table_name_69" WHERE "points" < 21 AND "year" = 1983 | 0.070313 |
CREATE TABLE table_7754 ("Television service" TEXT, "Country" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is the content of the Television service of Vesti? | SELECT "Content" FROM table_7754 WHERE "Television service" = 'vesti' | SELECT "Content" FROM "table_7754" WHERE "Television service" = 'vesti' | 0.069336 |
CREATE TABLE table_44151 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Average 1" FLOAT, "Points 2" FLOAT)
| What is the sum of Altrincham's Points 2 when they had more than 52 Goals For? | SELECT SUM("Points 2") FROM table_44151 WHERE "Goals For" > '52' AND "Team" = 'altrincham' | SELECT SUM("Points 2") FROM "table_44151" WHERE "Goals For" > '52' AND "Team" = 'altrincham' | 0.089844 |
CREATE TABLE table_41384 ("Publication" TEXT, "Country" TEXT, "Accolade" TEXT, "Year" FLOAT, "Rank" TEXT)
| Which accolade has USA as the country, with a year less than 2009? | SELECT "Accolade" FROM table_41384 WHERE "Country" = 'usa' AND "Year" < '2009' | SELECT "Accolade" FROM "table_41384" WHERE "Country" = 'usa' AND "Year" < '2009' | 0.078125 |
CREATE TABLE table_204_413 (id DECIMAL, "medal" TEXT, "name" TEXT, "sport" TEXT, "event" TEXT, "date" TEXT)
| what was the last event held ? | SELECT "event" FROM table_204_413 ORDER BY "date" DESC LIMIT 1 | SELECT "event" FROM "table_204_413" ORDER BY "date" DESC NULLS LAST LIMIT 1 | 0.073242 |
CREATE TABLE table_10913 ("Matches" FLOAT, "Innings" FLOAT, "Not Outs" FLOAT, "Runs" FLOAT, "Average" FLOAT)
| What is the lowest Not Outs with an average lower than 31.25, fewer than 13 matches, and fewer than 327 runs? | SELECT MIN("Not Outs") FROM table_10913 WHERE "Average" < '31.25' AND "Matches" < '13' AND "Runs" < '327' | SELECT MIN("Not Outs") FROM "table_10913" WHERE "Average" < '31.25' AND "Matches" < '13' AND "Runs" < '327' | 0.104492 |
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
| What papers has james fogarty written ? | SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'james fogarty' AND writes.authorid = author.authorid | SELECT DISTINCT "writes"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'james fogarty' | 0.149414 |
CREATE TABLE table_name_5 (socket VARCHAR, part_number_s_ VARCHAR)
| What is the Socket when the Part Number(s) is rk80530pz001256? | SELECT socket FROM table_name_5 WHERE part_number_s_ = "rk80530pz001256" | SELECT "socket" FROM "table_name_5" WHERE "part_number_s_" = "rk80530pz001256" | 0.076172 |
CREATE TABLE table_69594 ("Name" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning drivers" TEXT, "Winning constructor" TEXT, "Report" TEXT)
| What was the name for the race in the Miramas circuit? | SELECT "Name" FROM table_69594 WHERE "Circuit" = 'miramas' | SELECT "Name" FROM "table_69594" WHERE "Circuit" = 'miramas' | 0.058594 |
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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| how many patients until 1 year ago were diagnosed with heart disease nos during the same month after being diagnosed with ac on chr syst hrt fail? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'heart disease nos') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ac on chr syst hrt fail') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'ac on chr syst hrt fail' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'heart disease nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') | 0.972656 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| How many of the male patients are less than 74 years old? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "74" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "74" > "demographic"."age" AND "M" = "demographic"."gender" | 0.130859 |
CREATE TABLE table_name_31 (silver INT, rank VARCHAR, bronze VARCHAR)
| What is the average number of silvers for teams ranked 5 with 0 bronze? | SELECT AVG(silver) FROM table_name_31 WHERE rank = "5" AND bronze < 0 | SELECT AVG("silver") FROM "table_name_31" WHERE "5" = "rank" AND "bronze" < 0 | 0.075195 |
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 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)
| give me the number of patients whose diagnoses icd9 code is 41041 and drug type is main? | 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.icd9_code = "41041" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "41041" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.28418 |
CREATE TABLE table_54962 ("State" TEXT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening gown" FLOAT, "Average" FLOAT)
| What is the sum of the swimsuit scores from Missouri that have evening gown scores less than 8.77 and average scores less than 8.823? | SELECT SUM("Swimsuit") FROM table_54962 WHERE "Evening gown" < '8.77' AND "State" = 'missouri' AND "Average" < '8.823' | SELECT SUM("Swimsuit") FROM "table_54962" WHERE "Average" < '8.823' AND "Evening gown" < '8.77' AND "State" = 'missouri' | 0.117188 |
CREATE TABLE table_name_89 (notes VARCHAR, year VARCHAR)
| What were the notes in 2011? | SELECT notes FROM table_name_89 WHERE year = 2011 | SELECT "notes" FROM "table_name_89" WHERE "year" = 2011 | 0.053711 |
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)
| Show me about the distribution of ACC_Regular_Season and All_Games_Percent in a bar chart, and could you order in desc by the names please? | SELECT ACC_Regular_Season, All_Games_Percent FROM basketball_match ORDER BY ACC_Regular_Season DESC | SELECT "ACC_Regular_Season", "All_Games_Percent" FROM "basketball_match" ORDER BY "ACC_Regular_Season" DESC NULLS LAST | 0.115234 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how much does it cost to get checked for fall from ladder? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'fall from ladder')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'fall from ladder' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL | 0.392578 |
CREATE TABLE table_74726 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the crowd size at Victoria Park? | SELECT "Crowd" FROM table_74726 WHERE "Venue" = 'victoria park' | SELECT "Crowd" FROM "table_74726" WHERE "Venue" = 'victoria park' | 0.063477 |
CREATE TABLE table_test_29 ("id" INT, "bleeding" INT, "left_ventricular_ejection_fraction_lvef" INT, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "trauma" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "hemorrhagic_stroke" BOOLEAN, "platelet_count" FLOAT, "surgery" BOOLEAN, "thrombocytopenia" FLOAT, "liver_disease" BOOLEAN, "oral_anticoagulant_therapy" BOOLEAN, "heart_rate" INT, "kidney_disease" BOOLEAN, "inr" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| history of hemorrhagic stroke. | SELECT * FROM table_test_29 WHERE hemorrhagic_stroke = 1 | SELECT * FROM "table_test_29" WHERE "hemorrhagic_stroke" = 1 | 0.058594 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
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 course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student (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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
| How recently has CAAS 426 been offered ? | SELECT DISTINCT semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'CAAS' AND course.number = 426 AND semester.semester_id = course_offering.semester ORDER BY semester.year DESC LIMIT 1 | SELECT DISTINCT "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" WHERE "course"."department" = 'CAAS' AND "course"."number" = 426 ORDER BY "semester"."year" DESC NULLS LAST LIMIT 1 | 0.30957 |
CREATE TABLE table_47372 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| who had the high rebounds when the team was @ toronto? | SELECT "High rebounds" FROM table_47372 WHERE "Team" = '@ toronto' | SELECT "High rebounds" FROM "table_47372" WHERE "Team" = '@ toronto' | 0.066406 |
CREATE TABLE table_168274_1 (index_weighting___percentage__at_17_january_2013 VARCHAR, company VARCHAR)
| Name the total number of index weighting % at 17 january 2013 for bouygues | SELECT COUNT(index_weighting___percentage__at_17_january_2013) FROM table_168274_1 WHERE company = "Bouygues" | SELECT COUNT("index_weighting___percentage__at_17_january_2013") FROM "table_168274_1" WHERE "Bouygues" = "company" | 0.112305 |
CREATE TABLE table_42503 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the highest Top-10, when Top-25 is 4, and when Top-5 is greater than 1? | SELECT MAX("Top-10") FROM table_42503 WHERE "Top-25" = '4' AND "Top-5" > '1' | SELECT MAX("Top-10") FROM "table_42503" WHERE "Top-25" = '4' AND "Top-5" > '1' | 0.076172 |
CREATE TABLE table_23440 ("Episode" TEXT, "First broadcast" TEXT, "Rufus guest" TEXT, "Marcus guest" TEXT, "Winner" TEXT)
| Who won the episode in which Sean Lock was Rufus's guest? | SELECT "Winner" FROM table_23440 WHERE "Rufus guest" = 'Sean Lock' | SELECT "Winner" FROM "table_23440" WHERE "Rufus guest" = 'Sean Lock' | 0.066406 |
CREATE TABLE table_31543 ("Pick" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| Tell me the position for pick of 47 | SELECT "Position" FROM table_31543 WHERE "Pick" = '47' | SELECT "Position" FROM "table_31543" WHERE "Pick" = '47' | 0.054688 |
CREATE TABLE table_74048 ("No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Story by" TEXT, "Teleplay by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| Name the teleplay for david simon & eric overmyer and tom piazza | SELECT "Teleplay by" FROM table_74048 WHERE "Story by" = 'David Simon & Eric Overmyer and Tom Piazza' | SELECT "Teleplay by" FROM "table_74048" WHERE "Story by" = 'David Simon & Eric Overmyer and Tom Piazza' | 0.100586 |
CREATE TABLE table_name_69 (nominating_festival VARCHAR, film VARCHAR)
| What Nominating festival was party of the adjustment film? | SELECT nominating_festival FROM table_name_69 WHERE film = "adjustment" | SELECT "nominating_festival" FROM "table_name_69" WHERE "adjustment" = "film" | 0.075195 |
CREATE TABLE table_60996 ("Semi-closed initial unstressed vowels" TEXT, "17th c." TEXT, "American" TEXT, "Australian" TEXT, "Examples" TEXT)
| What is the American sound that has a 17th century equivalent of ? | SELECT "American" FROM table_60996 WHERE "17th c." = 'ɔ' | SELECT "American" FROM "table_60996" WHERE "17th c." = 'ɔ' | 0.056641 |
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 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE 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 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
| Total number of comments that contains keyword by year and month. | SELECT CAST(YEAR(CreationDate) AS TEXT(4)) + '-' + RIGHT('00' + CAST(MONTH(CreationDate) AS TEXT(2)), 2) AS year_month, COUNT(*) AS total FROM Comments WHERE (UPPER(Text) LIKE '%DEVOPS%') GROUP BY CAST(YEAR(CreationDate) AS TEXT(4)) + '-' + RIGHT('00' + CAST(MONTH(CreationDate) AS TEXT(2)), 2) ORDER BY CAST(YEAR(CreationDate) AS TEXT(4)) + '-' + RIGHT('00' + CAST(MONTH(CreationDate) AS TEXT(2)), 2) | SELECT CONCAT(CAST(YEAR("CreationDate") AS TEXT(4)), '-') + RIGHT(CONCAT('00', CAST(MONTH("CreationDate") AS TEXT(2))), 2) AS "year_month", COUNT(*) AS "total" FROM "Comments" WHERE UPPER("Text") LIKE '%DEVOPS%' GROUP BY CONCAT(CAST(YEAR("CreationDate") AS TEXT(4)), '-') + RIGHT(CONCAT('00', CAST(MONTH("CreationDate") AS TEXT(2))), 2) ORDER BY CONCAT(CAST(YEAR("CreationDate") AS TEXT(4)), '-') + RIGHT(CONCAT('00', CAST(MONTH("CreationDate") AS TEXT(2))), 2) NULLS FIRST | 0.461914 |
CREATE TABLE table_2337 ("School" TEXT, "Main location" TEXT, "Control" TEXT, "Type" TEXT, "Enrollment ( 2005 ) " FLOAT, "Founded" FLOAT)
| Name the main location for public and masters university | SELECT "Main location" FROM table_2337 WHERE "Control" = 'Public' AND "Type" = 'Masters university' | SELECT "Main location" FROM "table_2337" WHERE "Control" = 'Public' AND "Type" = 'Masters university' | 0.098633 |
CREATE TABLE table_27751 ("Year" FLOAT, "Division" FLOAT, "League" TEXT, "Regular Season" TEXT, "Playoffs" TEXT, "Open Cup" TEXT)
| Name the league for 2000 | SELECT "League" FROM table_27751 WHERE "Year" = '2000' | SELECT "League" FROM "table_27751" WHERE "Year" = '2000' | 0.054688 |
CREATE TABLE table_name_71 (game VARCHAR, record VARCHAR)
| What is the Game with a Record of 19-15? | SELECT game FROM table_name_71 WHERE record = "19-15" | SELECT "game" FROM "table_name_71" WHERE "19-15" = "record" | 0.057617 |
CREATE TABLE table_41365 ("Year" FLOAT, "Venue" TEXT, "Location" TEXT, "Winners" TEXT, "Runners-up" TEXT)
| What is the Location when France was the runner-up at club de campo? | SELECT "Location" FROM table_41365 WHERE "Runners-up" = 'france' AND "Venue" = 'club de campo' | SELECT "Location" FROM "table_41365" WHERE "Runners-up" = 'france' AND "Venue" = 'club de campo' | 0.09375 |
CREATE TABLE table_41440 ("Season" TEXT, "Conference" TEXT, "Division" TEXT, "Finish" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Win%" FLOAT)
| Which finish had a win percentage that was more than 0.598 and also had less than 53 wins? | SELECT "Finish" FROM table_41440 WHERE "Win%" > '0.598' AND "Wins" < '53' | SELECT "Finish" FROM "table_41440" WHERE "Win%" > '0.598' AND "Wins" < '53' | 0.073242 |
CREATE TABLE table_39746 ("Round" FLOAT, "Pick #" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| What round was a player from Indiana picked? | SELECT "Round" FROM table_39746 WHERE "College" = 'indiana' | SELECT "Round" FROM "table_39746" WHERE "College" = 'indiana' | 0.05957 |
CREATE TABLE gymnast (Gymnast_ID INT, Floor_Exercise_Points FLOAT, Pommel_Horse_Points FLOAT, Rings_Points FLOAT, Vault_Points FLOAT, Parallel_Bars_Points FLOAT, Horizontal_Bar_Points FLOAT, Total_Points FLOAT)
CREATE TABLE people (People_ID INT, Name TEXT, Age FLOAT, Height FLOAT, Hometown TEXT)
| Draw a bar chart for what are the hometowns of gymnasts and the corresponding number of gymnasts?, and could you sort by the Y-axis from high to low? | SELECT Hometown, COUNT(*) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown ORDER BY COUNT(*) DESC | SELECT "Hometown", COUNT(*) FROM "gymnast" AS "T1" JOIN "people" AS "T2" ON "T1"."Gymnast_ID" = "T2"."People_ID" GROUP BY "T2"."Hometown" ORDER BY COUNT(*) DESC NULLS LAST | 0.166992 |
CREATE TABLE table_21543 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| How many high assist are on the date December 13? | SELECT COUNT("High assists") FROM table_21543 WHERE "Date" = 'December 13' | SELECT COUNT("High assists") FROM "table_21543" WHERE "Date" = 'December 13' | 0.074219 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
| what is the latest afternoon flight departing SAN FRANCISCO and arriving in BOSTON on 11 9 | 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 (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND date_day.day_number = 9 AND date_day.month_number = 11 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code 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) AND flight.departure_time BETWEEN 1200 AND 1800) AND flight.departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE ((CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND DATE_DAYalias1.day_number = 9 AND DATE_DAYalias1.month_number = 11 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'SAN FRANCISCO' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND FLIGHTalias1.departure_time BETWEEN 1200 AND 1800) | WITH "_u_0" AS (SELECT MAX("FLIGHTalias1"."departure_time") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "date_day" AS "DATE_DAYalias1" ON "DATE_DAYalias1"."day_number" = 9 AND "DATE_DAYalias1"."month_number" = 11 AND "DATE_DAYalias1"."year" = 1991 JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'SAN FRANCISCO' JOIN "days" AS "DAYSalias1" ON "DATE_DAYalias1"."day_name" = "DAYSalias1"."day_name" JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" AND "FLIGHTalias1"."departure_time" <= 1800 AND "FLIGHTalias1"."departure_time" >= 1200 JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BOSTON') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 9 AND "date_day"."month_number" = 11 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 "_u_0" AS "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 1.818359 |
CREATE TABLE table_53316 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is the home team's score when st kilda is away? | SELECT "Home team score" FROM table_53316 WHERE "Away team" = 'st kilda' | SELECT "Home team score" FROM "table_53316" WHERE "Away team" = 'st kilda' | 0.072266 |
CREATE TABLE table_55553 ("Riding" TEXT, "Candidate" TEXT, "Gender" TEXT, "Residence" TEXT, "Occupation" TEXT, "Votes" FLOAT, "Rank" TEXT)
| What is the occupation of the candidate that has a riding of labrador? | SELECT "Occupation" FROM table_55553 WHERE "Riding" = 'labrador' | SELECT "Occupation" FROM "table_55553" WHERE "Riding" = 'labrador' | 0.064453 |
CREATE TABLE table_12890 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location/Attendance" TEXT, "Record" TEXT, "Streak" TEXT)
| Which Record has an Opponent of milwaukee bucks? | SELECT "Record" FROM table_12890 WHERE "Opponent" = 'milwaukee bucks' | SELECT "Record" FROM "table_12890" WHERE "Opponent" = 'milwaukee bucks' | 0.069336 |
CREATE TABLE table_44131 ("Continent" TEXT, "Structure" TEXT, "Height" TEXT, "Year" FLOAT, "Country" TEXT)
| What is the Continent that also has the United States listed as a country? | SELECT "Continent" FROM table_44131 WHERE "Country" = 'united states' | SELECT "Continent" FROM "table_44131" WHERE "Country" = 'united states' | 0.069336 |
CREATE TABLE table_31153 ("Name/ designation" TEXT, "Year of intro" FLOAT, "Country of origin" TEXT, "Primary cartridge" TEXT, "Major users" TEXT)
| Who are all the major users of the Saturn Machine Pistol? | SELECT "Major users" FROM table_31153 WHERE "Name/ designation" = 'Saturn machine pistol' | SELECT "Major users" FROM "table_31153" WHERE "Name/ designation" = 'Saturn machine pistol' | 0.088867 |
CREATE TABLE table_25730326_2 (extra_points INT)
| What is the least number of extra points? | SELECT MIN(extra_points) FROM table_25730326_2 | SELECT MIN("extra_points") FROM "table_25730326_2" | 0.048828 |
CREATE TABLE greatermanchestercrime (crimeid TEXT, crimets TIME, location TEXT, lsoa TEXT, type TEXT, outcome TEXT)
| How many crimes are under investigation? | SELECT COUNT(*) FROM greatermanchestercrime WHERE outcome = "Under investigation" | SELECT COUNT(*) FROM "greatermanchestercrime" WHERE "Under investigation" = "outcome" | 0.083008 |
CREATE TABLE table_55292 ("Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT, "Tyres" TEXT, "Driver" TEXT, "Rounds" TEXT)
| Which Constructor has Rounds, All and Driver, Bruno Giacomelli? | SELECT "Constructor" FROM table_55292 WHERE "Rounds" = 'all' AND "Driver" = 'bruno giacomelli' | SELECT "Constructor" FROM "table_55292" WHERE "Driver" = 'bruno giacomelli' AND "Rounds" = 'all' | 0.09375 |
CREATE TABLE table_2168295_1 (population__2011_ VARCHAR, headquarters VARCHAR)
| What is the 2011 population if the headquarters is Chittorgarh? | SELECT population__2011_ FROM table_2168295_1 WHERE headquarters = "Chittorgarh" | SELECT "population__2011_" FROM "table_2168295_1" WHERE "Chittorgarh" = "headquarters" | 0.083984 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
| i'd like to go from BOSTON to SAN FRANCISCO with a stop 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 CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' | 0.795898 |
CREATE TABLE stock (Carrier VARCHAR, Device_ID VARCHAR)
CREATE TABLE device (Carrier VARCHAR, Device_ID VARCHAR)
| List the carriers of devices that have no devices in stock. | SELECT Carrier FROM device WHERE NOT Device_ID IN (SELECT Device_ID FROM stock) | SELECT "Carrier" FROM "device" WHERE NOT "Device_ID" IN (SELECT "Device_ID" FROM "stock") | 0.086914 |
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)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Give me the comparison about All_Games_Percent over the All_Neutral by a bar chart, and rank total number in ascending order. | SELECT All_Neutral, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent | SELECT "All_Neutral", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Games_Percent" NULLS FIRST | 0.103516 |
CREATE TABLE table_204_534 (id DECIMAL, "#" DECIMAL, "name" TEXT, "height" TEXT, "weight ( lbs. ) " DECIMAL, "position" TEXT, "class" TEXT, "hometown" TEXT, "previous team ( s ) " TEXT)
| who is first on the roster ? | SELECT "name" FROM table_204_534 WHERE id = 1 | SELECT "name" FROM "table_204_534" WHERE "id" = 1 | 0.047852 |
CREATE TABLE table_45968 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
| What is the Score of game 35? | SELECT "Score" FROM table_45968 WHERE "Game" = '35' | SELECT "Score" FROM "table_45968" WHERE "Game" = '35' | 0.051758 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| since 2100 what are the five most frequently ordered lab tests for patients 40s? | SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 40 AND 49) AND STRFTIME('%y', lab.labresulttime) >= '2100' GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 5 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 49 AND "patient"."age" >= 40 GROUP BY "patientunitstayid"), "t1" AS (SELECT "lab"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "lab" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "lab"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") >= '2100' GROUP BY "lab"."labname") SELECT "t1"."labname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 | 0.481445 |
CREATE TABLE table_name_39 (laps INT, time VARCHAR, grid VARCHAR)
| What is the lowest number of Laps that have a Time of +24.440, and a Grid higher than 18? | SELECT MIN(laps) FROM table_name_39 WHERE time = "+24.440" AND grid > 18 | SELECT MIN("laps") FROM "table_name_39" WHERE "+24.440" = "time" AND "grid" > 18 | 0.078125 |
CREATE TABLE table_name_9 (race VARCHAR, fastest_lap VARCHAR, location VARCHAR)
| What is the race in Paul Ricard with Keke Rosberg as the fastest lap? | SELECT race FROM table_name_9 WHERE fastest_lap = "keke rosberg" AND location = "paul ricard" | SELECT "race" FROM "table_name_9" WHERE "fastest_lap" = "keke rosberg" AND "location" = "paul ricard" | 0.098633 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of headquarter and the average of manufacturer , and group by attribute headquarter. | SELECT Headquarter, AVG(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter | SELECT "Headquarter", AVG("Manufacturer") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" | 0.150391 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| when patient 030-7471 was last discharged since 2104 from the hospital? | SELECT patient.hospitaldischargetime FROM patient WHERE patient.uniquepid = '030-7471' AND STRFTIME('%y', patient.hospitaldischargetime) >= '2104' ORDER BY patient.hospitaldischargetime DESC LIMIT 1 | SELECT "patient"."hospitaldischargetime" FROM "patient" WHERE "patient"."uniquepid" = '030-7471' AND STRFTIME('%y', "patient"."hospitaldischargetime") >= '2104' ORDER BY "patient"."hospitaldischargetime" DESC NULLS LAST LIMIT 1 | 0.22168 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 ReviewTaskStates (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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
| All tags used with python. | SELECT DISTINCT (t.TagName) FROM Posts AS p JOIN PostTags AS pt ON p.Id = pt.PostId JOIN Tags AS t ON t.Id = pt.TagId WHERE p.Tags LIKE '%python-3.x%' AND p.CreationDate >= '2015-01-01' AND p.CreationDate < '2020-01-01' | SELECT DISTINCT "t"."TagName" FROM "Posts" AS "p" JOIN "PostTags" AS "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" AS "t" ON "pt"."TagId" = "t"."Id" WHERE "p"."CreationDate" < '2020-01-01' AND "p"."CreationDate" >= '2015-01-01' AND "p"."Tags" LIKE '%python-3.x%' | 0.254883 |
CREATE TABLE table_100518_1 (direction VARCHAR, mantra VARCHAR)
| Where the mantra is 'o ya v yuve nama ', what is the direction of the guardian? | SELECT direction FROM table_100518_1 WHERE mantra = "Oṃ Yaṃ Vāyuve Namaḥ" | SELECT "direction" FROM "table_100518_1" WHERE "Oṃ Yaṃ Vāyuve Namaḥ" = "mantra" | 0.077148 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| what exactly does multiparity mean? | SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'multiparity' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'multiparity' | SELECT "d_icd_diagnoses"."long_title" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'multiparity' UNION SELECT "d_icd_procedures"."long_title" FROM "d_icd_procedures" WHERE "d_icd_procedures"."short_title" = 'multiparity' | 0.232422 |
CREATE TABLE table_62374 ("1999/ 00" TEXT, "2000/ 01" TEXT, "2001/ 02" TEXT, "2002/ 03" TEXT, "2003/ 04" TEXT, "2004/ 05" TEXT, "2005/ 06" TEXT, "2006/ 07" TEXT, "2007/ 08" TEXT, "2008/ 09" TEXT, "2009/ 10" TEXT, "2010/ 11" TEXT, "2011/ 12" TEXT, "2012/ 13" TEXT)
| Which 2001/ 02 has a 2002/ 03 of tournament not held, a 2007/ 08 of tournament not held, and a 2008/ 09 of non-ranking? | SELECT "2001/ 02" FROM table_62374 WHERE "2002/ 03" = 'tournament not held' AND "2007/ 08" = 'tournament not held' AND "2008/ 09" = 'non-ranking' | SELECT "2001/ 02" FROM "table_62374" WHERE "2002/ 03" = 'tournament not held' AND "2007/ 08" = 'tournament not held' AND "2008/ 09" = 'non-ranking' | 0.143555 |
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, order_status TEXT, order_date TIME, order_details TEXT)
CREATE TABLE order_items (order_id DECIMAL, product_id DECIMAL, order_quantity TEXT)
CREATE TABLE customers (customer_id DECIMAL, payment_method TEXT, customer_name TEXT, date_became_customer TIME, other_customer_details TEXT)
CREATE TABLE customer_contact_channels (customer_id DECIMAL, channel_code TEXT, active_from_date TIME, active_to_date TIME, contact_number TEXT)
CREATE TABLE addresses (address_id DECIMAL, address_content TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT, other_address_details TEXT)
CREATE TABLE products (product_id DECIMAL, product_details TEXT)
CREATE TABLE customer_addresses (customer_id DECIMAL, address_id DECIMAL, date_address_from TIME, address_type TEXT, date_address_to TIME)
| What are the names of customers who use payment method 'Cash'? | SELECT customer_name FROM customers WHERE payment_method = "Cash" | SELECT "customer_name" FROM "customers" WHERE "Cash" = "payment_method" | 0.069336 |
CREATE TABLE table_12407546_1 (fencing VARCHAR, running VARCHAR)
| What's the fencing score of the player with 9:40.31 (1080 pts) in running? | SELECT fencing FROM table_12407546_1 WHERE running = "9:40.31 (1080 pts)" | SELECT "fencing" FROM "table_12407546_1" WHERE "9:40.31 (1080 pts)" = "running" | 0.077148 |
CREATE TABLE table_name_84 (points VARCHAR, year VARCHAR, entrant VARCHAR)
| After 1972, how many points did Marlboro Team Alfa Romeo have? | SELECT points FROM table_name_84 WHERE year > 1972 AND entrant = "marlboro team alfa romeo" | SELECT "points" FROM "table_name_84" WHERE "entrant" = "marlboro team alfa romeo" AND "year" > 1972 | 0.09668 |
CREATE TABLE table_22713796_14 (stage INT, winner VARCHAR, general_classification VARCHAR, team_classification VARCHAR)
| Name the most stage for alejandro valverde and astana greg henderson | SELECT MAX(stage) FROM table_22713796_14 WHERE general_classification = "Alejandro Valverde" AND team_classification = "Astana" AND winner = "Greg Henderson" | SELECT MAX("stage") FROM "table_22713796_14" WHERE "Alejandro Valverde" = "general_classification" AND "Astana" = "team_classification" AND "Greg Henderson" = "winner" | 0.163086 |
CREATE TABLE table_32306 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the attendance when VFL played MCG? | SELECT MAX("Crowd") FROM table_32306 WHERE "Venue" = 'mcg' | SELECT MAX("Crowd") FROM "table_32306" WHERE "Venue" = 'mcg' | 0.058594 |
CREATE TABLE table_62523 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What is Fiji's lowest total? | SELECT MIN("Total") FROM table_62523 WHERE "Country" = 'fiji' | SELECT MIN("Total") FROM "table_62523" WHERE "Country" = 'fiji' | 0.061523 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskTypes (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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Quality of questions For an answer. | SELECT AVG(CAST(q.Score AS FLOAT(15, 5))) FROM Posts AS q INNER JOIN Posts AS a ON q.Id = a.ParentId WHERE a.OwnerUserId = '##UserId##' | SELECT AVG(CAST("q"."Score" AS FLOAT(15, 5))) FROM "Posts" AS "q" JOIN "Posts" AS "a" ON "a"."OwnerUserId" = '##UserId##' AND "a"."ParentId" = "q"."Id" | 0.147461 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients admitted via physician referral/normal delivery have lab test item id 51249? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.itemid = "51249" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51249" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.21875 |
CREATE TABLE table_24751 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Languages" TEXT, "Director" TEXT, "Result" TEXT)
| How many languages have elles as the film title used in nomination? | SELECT COUNT("Languages") FROM table_24751 WHERE "Film title used in nomination" = 'Elles' | SELECT COUNT("Languages") FROM "table_24751" WHERE "Film title used in nomination" = 'Elles' | 0.089844 |
CREATE TABLE table_33545 ("Place" FLOAT, "Rider" TEXT, "Country" TEXT, "Machine" TEXT, "Speed" TEXT, "Time" TEXT, "Points" FLOAT)
| Which rider had a points score equal to 10? | SELECT "Rider" FROM table_33545 WHERE "Points" = '10' | SELECT "Rider" FROM "table_33545" WHERE "Points" = '10' | 0.053711 |
CREATE TABLE table_14772 ("Gersdorf" TEXT, "Gershausen" TEXT, "Heddersdorf" TEXT, "Kemmerode" TEXT, "Kirchheim" TEXT, "Reckerode ****" TEXT, "Reimboldsh." TEXT, "Rotterterode" TEXT, "Willingshain" TEXT)
| What Kemmerode has a Gersforf of 39? | SELECT "Kemmerode" FROM table_14772 WHERE "Gersdorf" = '39' | SELECT "Kemmerode" FROM "table_14772" WHERE "Gersdorf" = '39' | 0.05957 |
CREATE TABLE table_name_6 (margin_of_victory VARCHAR, tournament VARCHAR)
| What was Olazabal's margin of victory int he Ebel European Masters Swiss Open? | SELECT margin_of_victory FROM table_name_6 WHERE tournament = "ebel european masters swiss open" | SELECT "margin_of_victory" FROM "table_name_6" WHERE "ebel european masters swiss open" = "tournament" | 0.099609 |
CREATE TABLE table_22834834_2 (score_in_the_final VARCHAR, year VARCHAR)
| What is the score in the final in the year 1994? | SELECT score_in_the_final FROM table_22834834_2 WHERE year = 1994 | SELECT "score_in_the_final" FROM "table_22834834_2" WHERE "year" = 1994 | 0.069336 |
CREATE TABLE table_2550 ("Season" TEXT, "Player" TEXT, "Nationality" TEXT, "Team" TEXT, "Points" FLOAT, "Average" TEXT, "Played" FLOAT)
| How many games were played in the 1989 season? | SELECT "Played" FROM table_2550 WHERE "Season" = '1989' | SELECT "Played" FROM "table_2550" WHERE "Season" = '1989' | 0.055664 |
CREATE TABLE enzyme (id INT, name TEXT, Location TEXT, Product TEXT, Chromosome TEXT, OMIM INT, Porphyria TEXT)
CREATE TABLE medicine (id INT, name TEXT, Trade_Name TEXT, FDA_approved TEXT)
CREATE TABLE medicine_enzyme_interaction (enzyme_id INT, medicine_id INT, interaction_type TEXT)
| Visualize a bar chart for what are the ids and trade names of the medicine that can interact with at least 3 enzymes?, could you sort x-axis in desc order? | SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id ORDER BY Trade_Name DESC | SELECT "Trade_Name", "id" FROM "medicine" AS "T1" JOIN "medicine_enzyme_interaction" AS "T2" ON "T1"."id" = "T2"."medicine_id" ORDER BY "Trade_Name" DESC NULLS LAST | 0.160156 |
CREATE TABLE table_20444 ("Party" TEXT, "Marplan" TEXT, "Gallup" TEXT, "National Opinion Polls ( NOP ) " TEXT, "Opinion Research Centre ( OPC ) " TEXT, "Harris" TEXT)
| On all other parties the National option polls are at 1.3% where as the opinion research pole is at what percentage? | SELECT "Opinion Research Centre (OPC)" FROM table_20444 WHERE "National Opinion Polls (NOP)" = '1.3%' | SELECT "Opinion Research Centre (OPC)" FROM "table_20444" WHERE "National Opinion Polls (NOP)" = '1.3%' | 0.100586 |
CREATE TABLE table_17013 ("Institution" TEXT, "Location" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Nickname" TEXT, "Joined" FLOAT, "Left" FLOAT, "Current Conference" TEXT)
| How many times did anderson university leave? | SELECT COUNT("Left") FROM table_17013 WHERE "Institution" = 'Anderson University' | SELECT COUNT("Left") FROM "table_17013" WHERE "Institution" = 'Anderson University' | 0.081055 |
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
| Posts containing a given text (case insensitive, including title). | SELECT Id AS "post_link", OwnerUserId AS "user_link", CreationDate, LastActivityDate, Score, ViewCount, Body FROM Posts WHERE (CONCAT(LOWER(Title), ' ', LOWER(Body)) LIKE '%##text?analisi##%') ORDER BY CreationDate DESC LIMIT 500 | SELECT "Id" AS "post_link", "OwnerUserId" AS "user_link", "CreationDate", "LastActivityDate", "Score", "ViewCount", "Body" FROM "Posts" WHERE CONCAT(LOWER("Title"), ' ', LOWER("Body")) LIKE '%##text?analisi##%' ORDER BY "CreationDate" DESC NULLS LAST LIMIT 500 | 0.253906 |
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)
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)
| Find the insurance of subject id 3284. | SELECT demographic.insurance FROM demographic WHERE demographic.subject_id = "3284" | SELECT "demographic"."insurance" FROM "demographic" WHERE "3284" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| provide me the number of patients with chest pain primary disease who have procedure icd9 code 3521. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "CHEST PAIN" AND procedures.icd9_code = "3521" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3521" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "CHEST PAIN" = "demographic"."diagnosis" | 0.217773 |
CREATE TABLE table_name_95 (points VARCHAR, against VARCHAR, drawn VARCHAR, team VARCHAR)
| What number of Points are shown for Team Paulistano where the Drawn is less than 2 and the Against is less than 15? | SELECT COUNT(points) FROM table_name_95 WHERE drawn < 2 AND team = "paulistano" AND against < 15 | SELECT COUNT("points") FROM "table_name_95" WHERE "against" < 15 AND "drawn" < 2 AND "paulistano" = "team" | 0.103516 |
CREATE TABLE table_65798 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponent in the final" TEXT, "Score in the final" TEXT)
| Who was the opponent in the final of the Senegal f2 tournament> | SELECT "Opponent in the final" FROM table_65798 WHERE "Tournament" = 'senegal f2' | SELECT "Opponent in the final" FROM "table_65798" WHERE "Tournament" = 'senegal f2' | 0.081055 |
CREATE TABLE table_19603 ("Year" FLOAT, "Tournaments played" FLOAT, "Cuts made" FLOAT, "Wins" FLOAT, "2nd" FLOAT, "3rd" FLOAT, "Top 10s" FLOAT, "Best finish" TEXT, "Earnings ( $ ) " FLOAT, "Money list rank" TEXT, "Scoring average" TEXT, "Scoring rank" TEXT)
| How many total earnings are recorded when her best finish is t2 with a 71.25 scoring average? | SELECT COUNT("Earnings ( $ )") FROM table_19603 WHERE "Best finish" = 'T2' AND "Scoring average" = '71.25' | SELECT COUNT("Earnings ( $ )") FROM "table_19603" WHERE "Best finish" = 'T2' AND "Scoring average" = '71.25' | 0.105469 |
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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
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)
| what were the five most frequent diagnoses among the patients 30s? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 39 AND "admissions"."age" >= 30 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.649414 |
CREATE TABLE table_name_91 (most_spoken_language VARCHAR, population VARCHAR, code VARCHAR, area__km_2__ VARCHAR)
| What is the Most Spoken language in the Place with Code 70403 with an Area (km 2) larger than 3.79 and a Population larger than 73,283? | SELECT most_spoken_language FROM table_name_91 WHERE code > 70403 AND area__km_2__ > 3.79 AND population > 73 OFFSET 283 | SELECT "most_spoken_language" FROM "table_name_91" WHERE "area__km_2__" > 3.79 AND "code" > 70403 AND "population" > 73 OFFSET 283 | 0.126953 |
CREATE TABLE table_name_83 (capacity__thousands_of_metric_tons_ VARCHAR, operator VARCHAR)
| What is the capacity of the mine that is operated by Cyprus Amax minerals? | SELECT capacity__thousands_of_metric_tons_ FROM table_name_83 WHERE operator = "cyprus amax minerals" | SELECT "capacity__thousands_of_metric_tons_" FROM "table_name_83" WHERE "cyprus amax minerals" = "operator" | 0.104492 |
CREATE TABLE table_name_78 (venue VARCHAR, date VARCHAR)
| Where was the game held on August 20, 2004? | SELECT venue FROM table_name_78 WHERE date = "august 20, 2004" | SELECT "venue" FROM "table_name_78" WHERE "august 20, 2004" = "date" | 0.066406 |
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)
| give me the number of patients whose procedure long title is endoscopic sphincterotomy and papillotomy and lab test fluid is ascites? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Endoscopic sphincterotomy and papillotomy" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Endoscopic sphincterotomy and papillotomy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.292969 |
CREATE TABLE table_name_91 (game VARCHAR, location VARCHAR, opponent VARCHAR)
| What Game has a Location of Philadelphia Spectrum and an Opponent of New York Knicks? | SELECT game FROM table_name_91 WHERE location = "philadelphia spectrum" AND opponent = "new york knicks" | SELECT "game" FROM "table_name_91" WHERE "location" = "philadelphia spectrum" AND "new york knicks" = "opponent" | 0.109375 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| provide the number of patients whose admission year is less than 2111 and lab test fluid is other body fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2111" > "demographic"."admityear" | 0.199219 |
CREATE TABLE table_36494 ("Year" FLOAT, "Edition" TEXT, "Course" TEXT, "Location" TEXT, "Dates" TEXT)
| What year had an edition of 115th? | SELECT AVG("Year") FROM table_36494 WHERE "Edition" = '115th' | SELECT AVG("Year") FROM "table_36494" WHERE "Edition" = '115th' | 0.061523 |
CREATE TABLE table_59193 ("Code" FLOAT, "Municipality" TEXT, "County" TEXT, "Population" FLOAT, "Total area" TEXT, "Density ( per km 2 land ) " FLOAT)
| Which municipality has the code 2401? | SELECT "Municipality" FROM table_59193 WHERE "Code" = '2401' | SELECT "Municipality" FROM "table_59193" WHERE "Code" = '2401' | 0.060547 |
CREATE TABLE table_name_76 (batsmen VARCHAR, location VARCHAR)
| Who was the batsmen at the Brit Oval location? | SELECT batsmen FROM table_name_76 WHERE location = "the brit oval" | SELECT "batsmen" FROM "table_name_76" WHERE "location" = "the brit oval" | 0.070313 |
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
| Users per Year last seen. | SELECT YEAR(LastAccessDate) AS "year", COUNT(*) AS "count" FROM Users GROUP BY YEAR(LastAccessDate) ORDER BY Year | SELECT YEAR("LastAccessDate") AS "year", COUNT(*) AS "count" FROM "Users" GROUP BY YEAR("LastAccessDate") ORDER BY "Year" NULLS FIRST | 0.129883 |
CREATE TABLE table_42522 ("Company" TEXT, "Type" TEXT, "Principal activities" TEXT, "Incorporated in" TEXT, "Group's Equity Shareholding" TEXT)
| What company has a Group Equity Shareholding value of 60%? | SELECT "Company" FROM table_42522 WHERE "Group's Equity Shareholding" = '60%' | SELECT "Company" FROM "table_42522" WHERE "Group's Equity Shareholding" = '60%' | 0.077148 |
CREATE TABLE table_70077 ("Goal" TEXT, "Location" TEXT, "Lineup" TEXT, "Assist/pass" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| Which location has a Goal of 2? | SELECT "Location" FROM table_70077 WHERE "Goal" = '2' | SELECT "Location" FROM "table_70077" WHERE "Goal" = '2' | 0.053711 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
| For 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, give me the comparison about the average of salary over the job_id , and group by attribute job_id, I want to order in descending by the JOB_ID please. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", AVG("SALARY") 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 "JOB_ID" DESC NULLS LAST | 0.25 |
CREATE TABLE table_20345624_2 (director VARCHAR, no VARCHAR)
| Name the total number of directors for number 6 | SELECT COUNT(director) FROM table_20345624_2 WHERE no = 6 | SELECT COUNT("director") FROM "table_20345624_2" WHERE "no" = 6 | 0.061523 |
CREATE TABLE table_name_43 (state VARCHAR, name VARCHAR, title VARCHAR)
| In which state did Marquis Li rule? | SELECT state FROM table_name_43 WHERE name = "li" AND title = "marquis" | SELECT "state" FROM "table_name_43" WHERE "li" = "name" AND "marquis" = "title" | 0.077148 |
Subsets and Splits