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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 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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is the number of patients whose gender is f and insurance is private? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.insurance = "Private" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "Private" = "demographic"."insurance" | 0.141602 |
CREATE TABLE table_4927 ("Player" TEXT, "Span" TEXT, "Lost" TEXT, "Draw" TEXT, "Tries" TEXT, "Conv" TEXT, "Pens" TEXT, "Drop" TEXT)
| What is the draw with drop and pens 0 in 1995? | SELECT "Draw" FROM table_4927 WHERE "Drop" = '0' AND "Pens" = '0' AND "Span" = '1995' | SELECT "Draw" FROM "table_4927" WHERE "Drop" = '0' AND "Pens" = '0' AND "Span" = '1995' | 0.084961 |
CREATE TABLE table_name_86 (matches INT, against VARCHAR, draw VARCHAR)
| How many matches has 51 draws and more than 6 against? | SELECT SUM(matches) FROM table_name_86 WHERE against > 6 AND draw = 51 | SELECT SUM("matches") FROM "table_name_86" WHERE "against" > 6 AND "draw" = 51 | 0.076172 |
CREATE TABLE table_29743928_3 (assists INT, country VARCHAR)
| How many is the high assist total for players from panama? | SELECT MAX(assists) FROM table_29743928_3 WHERE country = "Panama" | SELECT MAX("assists") FROM "table_29743928_3" WHERE "Panama" = "country" | 0.070313 |
CREATE TABLE table_name_82 (final_score VARCHAR, visiting_team VARCHAR, date VARCHAR)
| What is the final score when the visiting team is the Washington Redskins and the date is September 4? | SELECT final_score FROM table_name_82 WHERE visiting_team = "washington redskins" AND date = "september 4" | SELECT "final_score" FROM "table_name_82" WHERE "date" = "september 4" AND "visiting_team" = "washington redskins" | 0.111328 |
CREATE TABLE table_name_16 (overall VARCHAR, transition VARCHAR)
| Who played as overall when Josh Sims was transition? | SELECT overall FROM table_name_16 WHERE transition = "josh sims" | SELECT "overall" FROM "table_name_16" WHERE "josh sims" = "transition" | 0.068359 |
CREATE TABLE table_48544 ("Tournament" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "Career SR" TEXT, "Career W\\u2013L" TEXT)
| What is the 2007 value for the 2006 wta premier tournaments? | SELECT "2007" FROM table_48544 WHERE "2006" = 'wta premier tournaments' | SELECT "2007" FROM "table_48544" WHERE "2006" = 'wta premier tournaments' | 0.071289 |
CREATE TABLE table_1553 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
| Who was the opponent in the game where 19041 people attended? | SELECT "Opponent" FROM table_1553 WHERE "Attendance" = '19041' | SELECT "Opponent" FROM "table_1553" WHERE "Attendance" = '19041' | 0.0625 |
CREATE TABLE table_79623 ("Race" TEXT, "Dist ( f ) " FLOAT, "Course" TEXT, "Class" TEXT, "Prize ( \\u00a3K ) " FLOAT, "Odds" TEXT, "Runners" FLOAT, "Placing" FLOAT, "Margin" TEXT, "Time" TEXT, "Jockey" TEXT, "Trainer" TEXT)
| Which Race has a Runners of 7 and Odds of 1/3? | SELECT "Race" FROM table_79623 WHERE "Runners" = '7' AND "Odds" = '1/3' | SELECT "Race" FROM "table_79623" WHERE "Odds" = '1/3' AND "Runners" = '7' | 0.071289 |
CREATE TABLE table_18600760_13 (ansi_code INT)
| What is the smallest ansi code? | SELECT MIN(ansi_code) FROM table_18600760_13 | SELECT MIN("ansi_code") FROM "table_18600760_13" | 0.046875 |
CREATE TABLE table_name_84 (round VARCHAR, time VARCHAR)
| Which round lasted 2:32? | SELECT round FROM table_name_84 WHERE time = "2:32" | SELECT "round" FROM "table_name_84" WHERE "2:32" = "time" | 0.055664 |
CREATE TABLE table_44920 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| What was the venue for the dates 1,2,3,4,6,7 jan 1908? | SELECT "Venue" FROM table_44920 WHERE "Date" = '1,2,3,4,6,7 jan 1908' | SELECT "Venue" FROM "table_44920" WHERE "Date" = '1,2,3,4,6,7 jan 1908' | 0.069336 |
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 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
| Is Friday the day that Prof. Matthew Schulmerich 's classes always meet ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course_offering.friday = 'N' AND instructor.name LIKE '%Matthew Schulmerich%' | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."friday" = 'N' JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Matthew Schulmerich%' | 0.382813 |
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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| whats the sex of patient 68641? | SELECT patients.gender FROM patients WHERE patients.subject_id = 68641 | SELECT "patients"."gender" FROM "patients" WHERE "patients"."subject_id" = 68641 | 0.078125 |
CREATE TABLE table_22260 ("#" FLOAT, "Cover Date" TEXT, "Story Title" TEXT, "Writer/s" TEXT, "Artist/s" TEXT, "Letterer/s" TEXT, "Colourist/s" TEXT, "Editor/s" TEXT, "Comments" TEXT)
| What is the minimum number which is for title The Enemy Within part 1? | SELECT MIN("#") FROM table_22260 | SELECT MIN("#") FROM "table_22260" | 0.033203 |
CREATE TABLE table_11872 ("Name" TEXT, "Premiere" TEXT, "Finale" TEXT, "Original teams" TEXT, "The Biggest Loser" TEXT, "At-Home Winner" TEXT)
| What were the original teams for The Biggest Loser (Season 1)? | SELECT "Original teams" FROM table_11872 WHERE "Name" = 'the biggest loser (season 1)' | SELECT "Original teams" FROM "table_11872" WHERE "Name" = 'the biggest loser (season 1)' | 0.085938 |
CREATE TABLE table_name_76 (no_5 VARCHAR, no_4 VARCHAR, no_1 VARCHAR, no_8 VARCHAR, no_2 VARCHAR)
| When Chloe was number 8, Olivia was number 2, Emma was number 1, and Ava was number 4, who was number 5? | SELECT no_5 FROM table_name_76 WHERE no_8 = "chloe" AND no_2 = "olivia" AND no_1 = "emma" AND no_4 = "ava" | SELECT "no_5" FROM "table_name_76" WHERE "ava" = "no_4" AND "chloe" = "no_8" AND "emma" = "no_1" AND "no_2" = "olivia" | 0.115234 |
CREATE TABLE table_26166 ("Represented" TEXT, "Contestant" TEXT, "Age" FLOAT, "Height ( in. ) " TEXT, "Height ( cm. ) " FLOAT, "Hometown" TEXT)
| If the hometown is Omuthiya, what is the contestant name? | SELECT "Contestant" FROM table_26166 WHERE "Hometown" = 'Omuthiya' | SELECT "Contestant" FROM "table_26166" WHERE "Hometown" = 'Omuthiya' | 0.066406 |
CREATE TABLE table_28152 ("Date" TEXT, "Location" TEXT, "Fight" TEXT, "Division" TEXT, "Titles" TEXT, "Rematch" TEXT, "TV" TEXT, "Promoter" TEXT, "Notes" TEXT)
| What division was on HBO PPV? | SELECT "Division" FROM table_28152 WHERE "TV" = 'HBO PPV' | SELECT "Division" FROM "table_28152" WHERE "TV" = 'HBO PPV' | 0.057617 |
CREATE TABLE table_48637 ("Title" TEXT, "Writer" TEXT, "Format" TEXT, "Company" TEXT, "release date" TEXT)
| Who is the company that released the album on 2008-09-18 18 September 2008? | SELECT "Company" FROM table_48637 WHERE "release date" = '2008-09-18 18 september 2008' | SELECT "Company" FROM "table_48637" WHERE "release date" = '2008-09-18 18 september 2008' | 0.086914 |
CREATE TABLE catalog_structure (catalog_level_number DECIMAL, catalog_id DECIMAL, catalog_level_name TEXT)
CREATE TABLE catalog_contents (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, parent_entry_id DECIMAL, previous_entry_id DECIMAL, next_entry_id DECIMAL, catalog_entry_name TEXT, product_stock_number TEXT, price_in_dollars DECIMAL, price_in_euros DECIMAL, price_in_pounds DECIMAL, capacity TEXT, length TEXT, height TEXT, width TEXT)
CREATE TABLE catalog_contents_additional_attributes (catalog_entry_id DECIMAL, catalog_level_number DECIMAL, attribute_id DECIMAL, attribute_value TEXT)
CREATE TABLE catalogs (catalog_id DECIMAL, catalog_name TEXT, catalog_publisher TEXT, date_of_publication TIME, date_of_latest_revision TIME)
CREATE TABLE attribute_definitions (attribute_id DECIMAL, attribute_name TEXT, attribute_data_type TEXT)
| What are the average and minimum price (in Euro) of all products? | SELECT AVG(price_in_euros), MIN(price_in_euros) FROM catalog_contents | SELECT AVG("price_in_euros"), MIN("price_in_euros") FROM "catalog_contents" | 0.073242 |
CREATE TABLE table_64776 ("Year" FLOAT, "Category" TEXT, "Recipients and nominees" TEXT, "Role/Episode" TEXT, "Result" TEXT)
| What's the category in 1998 with the role/episode of David Duchovny? | SELECT "Category" FROM table_64776 WHERE "Year" = '1998' AND "Role/Episode" = 'david duchovny' | SELECT "Category" FROM "table_64776" WHERE "Role/Episode" = 'david duchovny' AND "Year" = '1998' | 0.09375 |
CREATE TABLE table_name_22 (party VARCHAR, home_town VARCHAR, district VARCHAR, took_office VARCHAR)
| What is Party, when District is less than 10, when Took Office is less than 1991, and when Home Town is Mount Pleasant? | SELECT party FROM table_name_22 WHERE district < 10 AND took_office < 1991 AND home_town = "mount pleasant" | SELECT "party" FROM "table_name_22" WHERE "district" < 10 AND "home_town" = "mount pleasant" AND "took_office" < 1991 | 0.114258 |
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
| What is the proportion of the smallest enrollment in each state? | SELECT state, MIN(enr) FROM College GROUP BY state | SELECT "state", MIN("enr") FROM "College" GROUP BY "state" | 0.056641 |
CREATE TABLE table_204_192 (id DECIMAL, "year" DECIMAL, "team" TEXT, "co-drivers" TEXT, "car" TEXT, "class" TEXT, "laps" DECIMAL, "pos." TEXT, "class\ pos." TEXT)
| previous to being on the bmw motorsport team , which team was he on ? | SELECT "team" FROM table_204_192 WHERE "year" < (SELECT "year" FROM table_204_192 WHERE "team" = 'bmw motorsport') | SELECT "team" FROM "table_204_192" WHERE "year" < (SELECT "year" FROM "table_204_192" WHERE "team" = 'bmw motorsport') | 0.115234 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| what is the minimum daily number of patients who suffer from bone fracture(s) - sternum in this year? | SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'bone fracture(s) - sternum' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY STRFTIME('%y-%m-%d', diagnosis.diagnosistime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnosis"."patientunitstayid") AS "c1" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'bone fracture(s) - sternum' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY STRFTIME('%y-%m-%d', "diagnosis"."diagnosistime")) SELECT MIN("t1"."c1") FROM "t1" AS "t1" | 0.363281 |
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, a bar chart shows the distribution of founder and the sum of manufacturer , and group by attribute founder. | SELECT Founder, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder | SELECT "Founder", SUM("Manufacturer") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" | 0.142578 |
CREATE TABLE table_name_9 (venue VARCHAR, opponent VARCHAR)
| What is the Venue against the Bracknell Bees? | SELECT venue FROM table_name_9 WHERE opponent = "bracknell bees" | SELECT "venue" FROM "table_name_9" WHERE "bracknell bees" = "opponent" | 0.068359 |
CREATE TABLE table_25355392_2 (november_3 VARCHAR, march_27_29 VARCHAR)
| how many times is march 27-29 is 129? | SELECT COUNT(november_3) FROM table_25355392_2 WHERE march_27_29 = "129" | SELECT COUNT("november_3") FROM "table_25355392_2" WHERE "129" = "march_27_29" | 0.076172 |
CREATE TABLE table_14547 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "NFL Recap" TEXT, "Record" TEXT, "Attendance" TEXT)
| What was the record at the game held on December 24, 2005? | SELECT "Record" FROM table_14547 WHERE "Date" = 'december 24, 2005' | SELECT "Record" FROM "table_14547" WHERE "Date" = 'december 24, 2005' | 0.067383 |
CREATE TABLE nuclear_power_plants (id TEXT, name TEXT, latitude TEXT, longitude TEXT, country TEXT, status TEXT, reactortype TEXT, reactormodel TEXT, constructionstartat TEXT, operationalfrom TEXT, operationalto TEXT, capacity TEXT, lastupdatedat TEXT, source TEXT)
| Which country first started using nuclear power plant(s)? | SELECT country FROM nuclear_power_plants ORDER BY operationalfrom LIMIT 1 | SELECT "country" FROM "nuclear_power_plants" ORDER BY "operationalfrom" NULLS FIRST LIMIT 1 | 0.088867 |
CREATE TABLE table_1616608_2 (game_modes VARCHAR, pinyin VARCHAR)
| What game modes are there when the pinyin is zh g n y b ? | SELECT game_modes FROM table_1616608_2 WHERE pinyin = "Zhígǎn Yī Bǐ" | SELECT "game_modes" FROM "table_1616608_2" WHERE "Zhígǎn Yī Bǐ" = "pinyin" | 0.072266 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (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)
| Total users on the site. | SELECT COUNT(Id) FROM Users | SELECT COUNT("Id") FROM "Users" | 0.030273 |
CREATE TABLE table_159359_2 (end_date__last_night_ VARCHAR, season VARCHAR)
| When are end dates (last night) for the season of 1918? | SELECT end_date__last_night_ FROM table_159359_2 WHERE season = "1918" | SELECT "end_date__last_night_" FROM "table_159359_2" WHERE "1918" = "season" | 0.074219 |
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
| KANSAS CITY to LAS VEGAS economy | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'LAS VEGAS' AND fare_basis.economy = 'YES' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' 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" = 'KANSAS CITY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'LAS VEGAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."economy" = 'YES' | 0.737305 |
CREATE TABLE table_68631 ("Year" TEXT, "Record" TEXT, "Finish" TEXT, "Manager" TEXT, "Playoffs" TEXT)
| Name the year with finish of 12th and record of 23-36 | SELECT "Year" FROM table_68631 WHERE "Finish" = '12th' AND "Record" = '23-36' | SELECT "Year" FROM "table_68631" WHERE "Finish" = '12th' AND "Record" = '23-36' | 0.077148 |
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 program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
| Which classes do I have to take for me to declare a major in LING ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%LING%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'PreMajor' WHERE "course"."department" LIKE '%LING%' | 0.248047 |
CREATE TABLE table_9720 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| What is the average Grid, when Rider is Shinya Nakano, and when Laps is less than 21? | SELECT AVG("Grid") FROM table_9720 WHERE "Rider" = 'shinya nakano' AND "Laps" < '21' | SELECT AVG("Grid") FROM "table_9720" WHERE "Laps" < '21' AND "Rider" = 'shinya nakano' | 0.083984 |
CREATE TABLE book (Book_ID INT, Title TEXT, Issues FLOAT, Writer TEXT)
CREATE TABLE publication (Publication_ID INT, Book_ID INT, Publisher TEXT, Publication_Date TEXT, Price FLOAT)
| Draw a bar chart of publisher versus the total number, and list in descending by the the total number . | SELECT Publisher, COUNT(*) FROM publication GROUP BY Publisher ORDER BY COUNT(*) DESC | SELECT "Publisher", COUNT(*) FROM "publication" GROUP BY "Publisher" ORDER BY COUNT(*) DESC NULLS LAST | 0.099609 |
CREATE TABLE table_name_77 (game INT, record VARCHAR)
| What is the sum of games for a record of 33-13-3? | SELECT SUM(game) FROM table_name_77 WHERE record = "33-13-3" | SELECT SUM("game") FROM "table_name_77" WHERE "33-13-3" = "record" | 0.064453 |
CREATE TABLE table_name_70 (winner_and_score VARCHAR, finalist VARCHAR)
| Which Winner and score has a Finalist of aaron krickstein? | SELECT winner_and_score FROM table_name_70 WHERE finalist = "aaron krickstein" | SELECT "winner_and_score" FROM "table_name_70" WHERE "aaron krickstein" = "finalist" | 0.082031 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose days of hospital stay is greater than 3 and drug code is docu100l? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "3" AND prescriptions.formulary_drug_cd = "DOCU100L" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DOCU100L" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "3" < "demographic"."days_stay" | 0.229492 |
CREATE TABLE table_22581 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" TEXT, "Avg. Finish" TEXT, "Winnings" TEXT, "Position" TEXT, "Team ( s ) " TEXT)
| How many poles in the year 2000 | SELECT MAX("Poles") FROM table_22581 WHERE "Year" = '2000' | SELECT MAX("Poles") FROM "table_22581" WHERE "Year" = '2000' | 0.058594 |
CREATE TABLE table_23444 ("Season" FLOAT, "Timeslot ( EDT ) " TEXT, "Season Premiere" TEXT, "Season Finale" TEXT, "TV Season" TEXT, "Rank ( Spanish language ) " FLOAT, "Viewers ( in millions ) " TEXT)
| Name the timeslot for 9.4 viewers for 2006 | SELECT "Timeslot ( EDT )" FROM table_23444 WHERE "Viewers (in millions)" = '9.4' AND "TV Season" = '2006' | SELECT "Timeslot ( EDT )" FROM "table_23444" WHERE "TV Season" = '2006' AND "Viewers (in millions)" = '9.4' | 0.104492 |
CREATE TABLE table_name_8 (place VARCHAR, player VARCHAR)
| What is Peter Jacobsen's Place? | SELECT place FROM table_name_8 WHERE player = "peter jacobsen" | SELECT "place" FROM "table_name_8" WHERE "peter jacobsen" = "player" | 0.066406 |
CREATE TABLE table_name_53 (celebrity VARCHAR, exited VARCHAR, famous_for VARCHAR)
| Which celebrity who was famous for being the ex busted member and TV presenter exited on day 19? | SELECT celebrity FROM table_name_53 WHERE exited = "day 19" AND famous_for = "ex busted member and tv presenter" | SELECT "celebrity" FROM "table_name_53" WHERE "day 19" = "exited" AND "ex busted member and tv presenter" = "famous_for" | 0.117188 |
CREATE TABLE table_49294 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
| Which Player has a Place of t2? | SELECT "Player" FROM table_49294 WHERE "Place" = 't2' | SELECT "Player" FROM "table_49294" WHERE "Place" = 't2' | 0.053711 |
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
| Give me a histogram for what is the lowest salary in departments with average salary greater than the overall average, show by the Y-axis from low to high. | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY MIN(salary) | SELECT "dept_name", MIN("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY MIN("salary") NULLS FIRST | 0.104492 |
CREATE TABLE table_name_61 (wins__outdoor_ INT, wins__indoor_ VARCHAR, rank VARCHAR, wins__total_ VARCHAR)
| Name the average wins outdoor with rank more than 4 and wins less than 3 with outdoor wins more than 0 | SELECT AVG(wins__outdoor_) FROM table_name_61 WHERE rank > 4 AND wins__total_ < 3 AND wins__indoor_ > 0 | SELECT AVG("wins__outdoor_") FROM "table_name_61" WHERE "rank" > 4 AND "wins__indoor_" > 0 AND "wins__total_" < 3 | 0.110352 |
CREATE TABLE Scientists (SSN INT, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
| What is the name of the project that has a scientist assigned to it whose name contains 'Smith', and count them by a bar chart | SELECT T2.Name, COUNT(T2.Name) FROM AssignedTo AS T1 JOIN Projects AS T2 ON T1.Project = T2.Code JOIN Scientists AS T3 ON T1.Scientist = T3.SSN WHERE T3.Name LIKE '%Smith%' GROUP BY T2.Name | SELECT "T2"."Name", COUNT("T2"."Name") FROM "AssignedTo" AS "T1" JOIN "Projects" AS "T2" ON "T1"."Project" = "T2"."Code" JOIN "Scientists" AS "T3" ON "T1"."Scientist" = "T3"."SSN" AND "T3"."Name" LIKE '%Smith%' GROUP BY "T2"."Name" | 0.225586 |
CREATE TABLE table_name_53 (class VARCHAR, team VARCHAR)
| The Le Mans Porsche team Joest Racing is in which class? | SELECT class FROM table_name_53 WHERE team = "le mans porsche team joest racing" | SELECT "class" FROM "table_name_53" WHERE "le mans porsche team joest racing" = "team" | 0.083984 |
CREATE TABLE table_203_262 (id DECIMAL, "year" DECIMAL, "team" TEXT, "co-drivers" TEXT, "car" TEXT, "class" TEXT, "laps" DECIMAL, "pos." TEXT, "class\ pos." TEXT)
| how many times was the porsche rs spyder used in competition ? | SELECT COUNT(*) FROM table_203_262 WHERE "car" = 'porsche rs spyder evo' | SELECT COUNT(*) FROM "table_203_262" WHERE "car" = 'porsche rs spyder evo' | 0.072266 |
CREATE TABLE table_name_97 (lost INT, drawn VARCHAR, goal_difference VARCHAR, goals_for VARCHAR)
| How many times did the team lose who had a goal difference of +2, 52 goals for, and less than 9 draws? | SELECT MIN(lost) FROM table_name_97 WHERE goal_difference = "+2" AND goals_for = 52 AND drawn < 9 | SELECT MIN("lost") FROM "table_name_97" WHERE "+2" = "goal_difference" AND "drawn" < 9 AND "goals_for" = 52 | 0.104492 |
CREATE TABLE Assets (Asset_ID INT, Other_Details VARCHAR)
CREATE TABLE Parties_in_Events (Party_ID INT, Event_ID INT, Role_Code CHAR)
CREATE TABLE Parties (Party_ID INT, Party_Details VARCHAR)
CREATE TABLE Channels (Channel_ID INT, Other_Details VARCHAR)
CREATE TABLE Agreements (Document_ID INT, Event_ID INT)
CREATE TABLE Products (Product_ID INT, Product_Type_Code CHAR, Product_Name VARCHAR, Product_Price DECIMAL)
CREATE TABLE Addresses (Address_ID INT, address_details VARCHAR)
CREATE TABLE Finances (Finance_ID INT, Other_Details VARCHAR)
CREATE TABLE Products_in_Events (Product_in_Event_ID INT, Event_ID INT, Product_ID INT)
CREATE TABLE Assets_in_Events (Asset_ID INT, Event_ID INT)
CREATE TABLE Events (Event_ID INT, Address_ID INT, Channel_ID INT, Event_Type_Code CHAR, Finance_ID INT, Location_ID INT)
CREATE TABLE Locations (Location_ID INT, Other_Details VARCHAR)
| Sort the names of products in ascending order of their price, and count them by a bar chart | SELECT Product_Name, COUNT(Product_Name) FROM Products GROUP BY Product_Name ORDER BY Product_Price | SELECT "Product_Name", COUNT("Product_Name") FROM "Products" GROUP BY "Product_Name" ORDER BY "Product_Price" NULLS FIRST | 0.118164 |
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)
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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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)
| during the last year what were the top five most frequent procedures that patients received within the same hospital visit after the diagnosis of hyperglycemia - suspected? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hyperglycemia - suspected' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.treatmenttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "treatment"."treatmentname", "treatment"."treatmenttime", "patient"."patienthealthsystemstayid" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."treatmenttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'hyperglycemia - suspected' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."treatmentname") SELECT "t3"."treatmentname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 1.000977 |
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
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 code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
| please list all flights from DALLAS to PHILADELPHIA on monday | 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 = 'PHILADELPHIA' AND date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 21 AND "date_day"."month_number" = 2 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' 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" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.708984 |
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 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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients whose language is spanish are aged below 83 years? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "83" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "83" > "demographic"."age" AND "SPAN" = "demographic"."language" | 0.135742 |
CREATE TABLE table_54319 ("Name" TEXT, "Service" TEXT, "Rank" TEXT, "Place of action" TEXT, "Unit" TEXT)
| Name the place of action for the marine corps and corporal rank | SELECT "Place of action" FROM table_54319 WHERE "Service" = 'marine corps' AND "Rank" = 'corporal' | SELECT "Place of action" FROM "table_54319" WHERE "Rank" = 'corporal' AND "Service" = 'marine corps' | 0.097656 |
CREATE TABLE table_name_29 (date VARCHAR, venue VARCHAR)
| On what date was Kuwait City a venue? | SELECT date FROM table_name_29 WHERE venue = "kuwait city" | SELECT "date" FROM "table_name_29" WHERE "kuwait city" = "venue" | 0.0625 |
CREATE TABLE railway (Id VARCHAR)
| How many railways are there? | SELECT COUNT(*) FROM railway | SELECT COUNT(*) FROM "railway" | 0.029297 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose admission year is less than 2198 and drug route is im? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2198" AND prescriptions.route = "IM" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IM" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2198" > "demographic"."admityear" | 0.214844 |
CREATE TABLE table_55087 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
| who lost on august 21? | SELECT "Loss" FROM table_55087 WHERE "Date" = 'august 21' | SELECT "Loss" FROM "table_55087" WHERE "Date" = 'august 21' | 0.057617 |
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
| For each city, return the highest latitude among its stations. Show a pie chart. | SELECT city, MAX(lat) FROM station GROUP BY city | SELECT "city", MAX("lat") FROM "station" GROUP BY "city" | 0.054688 |
CREATE TABLE table_29449 ("Club" TEXT, "Chairman" TEXT, "Current manager" TEXT, "Team captain" TEXT, "Kitmaker" TEXT, "Shirt sponsor" TEXT)
| Who is the chairman when the current manager is bob peeters? | SELECT "Chairman" FROM table_29449 WHERE "Current manager" = 'Bob Peeters' | SELECT "Chairman" FROM "table_29449" WHERE "Current manager" = 'Bob Peeters' | 0.074219 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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)
| how many days have elapsed since patient 5828 was admitted to the intensive care unit currently? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', icustays.intime)) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828) AND icustays.outtime IS NULL | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5828 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "icustays"."intime")) FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL | 0.335938 |
CREATE TABLE table_54617 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Which grid has a Time/Retired of +5.004? | SELECT MIN("Grid") FROM table_54617 WHERE "Time/Retired" = '+5.004' | SELECT MIN("Grid") FROM "table_54617" WHERE "Time/Retired" = '+5.004' | 0.067383 |
CREATE TABLE player (player_id DECIMAL, player TEXT, years_played TEXT, total_wl TEXT, singles_wl TEXT, doubles_wl TEXT, team DECIMAL)
CREATE TABLE match_season (season DECIMAL, player TEXT, position TEXT, country DECIMAL, team DECIMAL, draft_pick_number DECIMAL, draft_class TEXT, college TEXT)
CREATE TABLE team (team_id DECIMAL, name TEXT)
CREATE TABLE country (country_id DECIMAL, country_name TEXT, capital TEXT, official_native_language TEXT)
| What are the players who played for Columbus Crew, and how many years did each play for? | SELECT T1.player, T1.years_played FROM player AS T1 JOIN team AS T2 ON T1.team = T2.team_id WHERE T2.name = "Columbus Crew" | SELECT "T1"."player", "T1"."years_played" FROM "player" AS "T1" JOIN "team" AS "T2" ON "Columbus Crew" = "T2"."name" AND "T1"."team" = "T2"."team_id" | 0.145508 |
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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (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)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description 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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
| Rep earned on answers to questions closed within a day. Calculates total reputation earned on answers to questions which were closed within 24 hours of creation for the year of 2013. Reptuation is grouped by user id. | SELECT Answers.OwnerUserId, SUM(CASE WHEN Votes.VoteTypeId = 2 THEN 10 WHEN Votes.VoteTypeId = 3 THEN -2 ELSE 0 END) AS EarnedRep FROM Posts AS Questions, Posts AS Answers, Votes WHERE Questions.PostTypeId = 1 AND Questions.CreationDate BETWEEN '2013-01-01' AND '2013-12-31' AND CAST((JULIANDAY(ClosedDate) - JULIANDAY(Questions.CreationDate)) * 24.0 AS INT) < 24 AND Answers.PostTypeId = 2 AND Answers.ParentId = Questions.Id AND Votes.PostId = Answers.Id GROUP BY Answers.OwnerUserId | SELECT "Answers"."OwnerUserId", SUM(CASE WHEN "Votes"."VoteTypeId" = 2 THEN 10 WHEN "Votes"."VoteTypeId" = 3 THEN -2 ELSE 0 END) AS "EarnedRep" FROM "Posts" AS "Questions" JOIN "Posts" AS "Answers" ON "Answers"."ParentId" = "Questions"."Id" AND "Answers"."PostTypeId" = 2 JOIN "Votes" ON "Answers"."Id" = "Votes"."PostId" WHERE "Questions"."CreationDate" <= '2013-12-31' AND "Questions"."CreationDate" >= '2013-01-01' AND "Questions"."PostTypeId" = 1 AND CAST((JULIANDAY("ClosedDate") - JULIANDAY("Questions"."CreationDate")) * 24.0 AS INT) < 24 GROUP BY "Answers"."OwnerUserId" | 0.564453 |
CREATE TABLE table_20903658_1 (title_subject VARCHAR, date_painted_created VARCHAR)
| Who was the subject of the sculpture created in 1982? | SELECT title_subject FROM table_20903658_1 WHERE date_painted_created = "1982" | SELECT "title_subject" FROM "table_20903658_1" WHERE "1982" = "date_painted_created" | 0.082031 |
CREATE TABLE table_20819379_2 (tie_no VARCHAR, team_2 VARCHAR)
| Name the total number of tie number for team 2 osijek | SELECT COUNT(tie_no) FROM table_20819379_2 WHERE team_2 = "Osijek" | SELECT COUNT("tie_no") FROM "table_20819379_2" WHERE "Osijek" = "team_2" | 0.070313 |
CREATE TABLE table_name_79 (to_par VARCHAR, score VARCHAR)
| In the game that has a score of 71-71-70-73=285 what is the to par? | SELECT to_par FROM table_name_79 WHERE score = 71 - 71 - 70 - 73 = 285 | SELECT "to_par" FROM "table_name_79" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_name_10 (school_club_team VARCHAR, years_for_grizzlies VARCHAR)
| What's the school that played for the Grizzlie from 1995-1998? | SELECT school_club_team FROM table_name_10 WHERE years_for_grizzlies = "1995-1998" | SELECT "school_club_team" FROM "table_name_10" WHERE "1995-1998" = "years_for_grizzlies" | 0.085938 |
CREATE TABLE table_name_99 (year INT, rank VARCHAR, name VARCHAR)
| Can you tell me the lowest Year that has the Rank smaller the 132, and the Name of biodiversity richness? | SELECT MIN(year) FROM table_name_99 WHERE rank < 132 AND name = "biodiversity richness" | SELECT MIN("year") FROM "table_name_99" WHERE "biodiversity richness" = "name" AND "rank" < 132 | 0.092773 |
CREATE TABLE table_18377 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| who were the candidates when the incumbent was ed derwinski? | SELECT "Candidates" FROM table_18377 WHERE "Incumbent" = 'Ed Derwinski' | SELECT "Candidates" FROM "table_18377" WHERE "Incumbent" = 'Ed Derwinski' | 0.071289 |
CREATE TABLE staff (staff_id DECIMAL, gender TEXT, first_name TEXT, last_name TEXT, email_address TEXT, phone_number TEXT)
CREATE TABLE products (product_id DECIMAL, parent_product_id DECIMAL, product_category_code TEXT, date_product_first_available TIME, date_product_discontinued TIME, product_name TEXT, product_description TEXT, product_price DECIMAL)
CREATE TABLE complaints (complaint_id DECIMAL, product_id DECIMAL, customer_id DECIMAL, complaint_outcome_code TEXT, complaint_status_code TEXT, complaint_type_code TEXT, date_complaint_raised TIME, date_complaint_closed TIME, staff_id DECIMAL)
CREATE TABLE customers (customer_id DECIMAL, customer_type_code TEXT, address_line_1 TEXT, address_line_2 TEXT, town_city TEXT, state TEXT, email_address TEXT, phone_number TEXT)
| Return the average price of products that have each category code. | SELECT AVG(product_price), product_category_code FROM products GROUP BY product_category_code | SELECT AVG("product_price"), "product_category_code" FROM "products" GROUP BY "product_category_code" | 0.098633 |
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
| What is the paper with the most citation about AlexNet ? | SELECT DISTINCT cite.citedpaperid, COUNT(cite.citingpaperid) FROM cite, keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'AlexNet' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = cite.citedpaperid AND paper.paperid = paperkeyphrase.paperid GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citingpaperid) DESC | SELECT DISTINCT "cite"."citedpaperid", COUNT("cite"."citingpaperid") FROM "cite" JOIN "paper" ON "cite"."citedpaperid" = "paper"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'AlexNet' GROUP BY "cite"."citedpaperid" ORDER BY COUNT("cite"."citingpaperid") DESC NULLS LAST | 0.40918 |
CREATE TABLE exhibition_record (Exhibition_ID INT, Date TEXT, Attendance INT)
CREATE TABLE exhibition (Exhibition_ID INT, Year INT, Theme TEXT, Artist_ID INT, Ticket_Price FLOAT)
CREATE TABLE artist (Artist_ID INT, Name TEXT, Country TEXT, Year_Join INT, Age INT)
| What are the average ages of artists by countries? Visualize the result with a histogram, and I want to display in asc by the total number. | SELECT Country, AVG(Age) FROM artist GROUP BY Country ORDER BY AVG(Age) | SELECT "Country", AVG("Age") FROM "artist" GROUP BY "Country" ORDER BY AVG("Age") NULLS FIRST | 0.09082 |
CREATE TABLE table_53859 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the score during the competition of 1998 fifa world cup qualification? | SELECT "Score" FROM table_53859 WHERE "Competition" = '1998 fifa world cup qualification' | SELECT "Score" FROM "table_53859" WHERE "Competition" = '1998 fifa world cup qualification' | 0.088867 |
CREATE TABLE table_23507 ("Year" FLOAT, "Date" TEXT, "Type" TEXT, "Species" TEXT, "Author Species" TEXT, "Value" TEXT, "Scott" TEXT, "Yvert" FLOAT, "Mitchell" FLOAT, "Sta. & Gib." FLOAT, "Order" TEXT, "Family" TEXT)
| Name the scott for chloropsis hardwickii | SELECT "Scott" FROM table_23507 WHERE "Species" = 'Chloropsis hardwickii' | SELECT "Scott" FROM "table_23507" WHERE "Species" = 'Chloropsis hardwickii' | 0.073242 |
CREATE TABLE table_name_42 (visitor VARCHAR, time VARCHAR)
| Who was the visitor at 5:00 pm? | SELECT visitor FROM table_name_42 WHERE time = "5:00 pm" | SELECT "visitor" FROM "table_name_42" WHERE "5:00 pm" = "time" | 0.060547 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| when was patient 031-16123's last microbiological examination? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-16123' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" DESC NULLS LAST LIMIT 1 | 0.560547 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what was the daily minimum intake of p.o. that patient 028-23341 had received until 12/05/2103? | SELECT MIN(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-23341')) AND intakeoutput.celllabel = 'p.o.' AND intakeoutput.cellpath LIKE '%intake%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2103-12-05' GROUP BY STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-23341' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'p.o.' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2103-12-05' GROUP BY STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") | 0.737305 |
CREATE TABLE table_204_63 (id DECIMAL, "round" DECIMAL, "circuit" TEXT, "date" TEXT, "pole position" TEXT, "winning driver" TEXT, "winning team" TEXT, "trophy winner" TEXT)
| what circuit is listed below autodromo di pergusa , enna ? | SELECT "circuit" FROM table_204_63 WHERE id = (SELECT id FROM table_204_63 WHERE "circuit" = 'autodromo di pergusa, enna') + 1 | SELECT "circuit" FROM "table_204_63" WHERE "id" = (SELECT "id" FROM "table_204_63" WHERE "circuit" = 'autodromo di pergusa, enna') + 1 | 0.130859 |
CREATE TABLE table_name_47 (date VARCHAR, nation VARCHAR, venue VARCHAR)
| What is the Date when Russia was the nation and the venue was madrid , spain? | SELECT date FROM table_name_47 WHERE nation = "russia" AND venue = "madrid , spain" | SELECT "date" FROM "table_name_47" WHERE "madrid , spain" = "venue" AND "nation" = "russia" | 0.088867 |
CREATE TABLE table_name_18 (episode VARCHAR, airdate__canada_ VARCHAR)
| What is the total number of episodes aired in Canada on 22 October 2004? | SELECT COUNT(episode) FROM table_name_18 WHERE airdate__canada_ = "22 october 2004" | SELECT COUNT("episode") FROM "table_name_18" WHERE "22 october 2004" = "airdate__canada_" | 0.086914 |
CREATE TABLE table_21326205_2 (stage VARCHAR, rally_leader VARCHAR, name VARCHAR)
| In which special stage named Tempo 2 was S bastien Loeb the leader? | SELECT stage FROM table_21326205_2 WHERE rally_leader = "Sébastien Loeb" AND name = "Tempo 2" | SELECT "stage" FROM "table_21326205_2" WHERE "Sébastien Loeb" = "rally_leader" AND "Tempo 2" = "name" | 0.098633 |
CREATE TABLE table_name_39 (home_team VARCHAR, venue VARCHAR)
| What is the home team at windy hill? | SELECT home_team FROM table_name_39 WHERE venue = "windy hill" | SELECT "home_team" FROM "table_name_39" WHERE "venue" = "windy hill" | 0.066406 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| on 09/08/last year, what was the last value of arterial bp [diastolic] for patient 15754? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15754)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', chartevents.charttime) = '09-08' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15754 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "chartevents"."charttime") = '09-08' ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.907227 |
CREATE TABLE table_52149 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What score was conceded by Richmond? | SELECT "Away team score" FROM table_52149 WHERE "Home team" = 'richmond' | SELECT "Away team score" FROM "table_52149" WHERE "Home team" = 'richmond' | 0.072266 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
CREATE TABLE Has_amenity (dormid INT, amenid INT)
| A bar chart for finding the number of the first name of students who are living in the Smith Hall, and display from high to low by the x axis. | SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' GROUP BY Fname ORDER BY Fname DESC | SELECT "Fname", COUNT("Fname") FROM "Student" AS "T1" JOIN "Lives_in" AS "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" AS "T3" ON "T2"."dormid" = "T3"."dormid" AND "T3"."dorm_name" = 'Smith Hall' GROUP BY "Fname" ORDER BY "Fname" DESC NULLS LAST | 0.241211 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose religion is catholic and item id is 50912? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.itemid = "50912" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50912" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CATHOLIC" = "demographic"."religion" | 0.192383 |
CREATE TABLE table_19457_1 (villages VARCHAR, state_region VARCHAR)
| How many villages are there in the Magway region? | SELECT villages FROM table_19457_1 WHERE state_region = "Magway Region" | SELECT "villages" FROM "table_19457_1" WHERE "Magway Region" = "state_region" | 0.075195 |
CREATE TABLE table_27432 ("Name" TEXT, "#" FLOAT, "Position" TEXT, "Height" TEXT, "Weight" FLOAT, "Year" TEXT, "Former school" TEXT, "Hometown" TEXT)
| What were the former schools of the player from East Brunswick, NJ? | SELECT "Former school" FROM table_27432 WHERE "Hometown" = 'East Brunswick, NJ' | SELECT "Former school" FROM "table_27432" WHERE "Hometown" = 'East Brunswick, NJ' | 0.079102 |
CREATE TABLE table_27600 ("#" FLOAT, "Name" TEXT, "Position" TEXT, "Height" TEXT, "Weight" FLOAT, "Year" TEXT, "Home Town" TEXT, "Last School" TEXT)
| Name the number of home town for number being 32 | SELECT COUNT("Home Town") FROM table_27600 WHERE "#" = '32' | SELECT COUNT("Home Town") FROM "table_27600" WHERE "#" = '32' | 0.05957 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| what is average age of patients whose primary disease is gangrene and admission year is greater than or equal to 2164? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "GANGRENE" AND demographic.admityear >= "2164" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2164" <= "demographic"."admityear" AND "GANGRENE" = "demographic"."diagnosis" | 0.131836 |
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
| show me fares from DALLAS to BALTIMORE that cost less than 300 dollars | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND fare.one_direction_cost < 300 AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_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" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."one_direction_cost" < 300 | 0.654297 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| how many self pay insurance patients are male? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Self Pay" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "Self Pay" = "demographic"."insurance" | 0.142578 |
CREATE TABLE table_78715 ("Model" TEXT, "First Year" FLOAT, "Distribution" TEXT, "Engine" TEXT, "Displacement cc" FLOAT, "Power hp ( kW ) " TEXT)
| What is Power HP (kW), when First Year is greater than 1965, when Distribution is 'International', when Engine is V6 Biturbo, and when Model is '425'? | SELECT "Power hp (kW)" FROM table_78715 WHERE "First Year" > '1965' AND "Distribution" = 'international' AND "Engine" = 'v6 biturbo' AND "Model" = '425' | SELECT "Power hp (kW)" FROM "table_78715" WHERE "Distribution" = 'international' AND "Engine" = 'v6 biturbo' AND "First Year" > '1965' AND "Model" = '425' | 0.150391 |
CREATE TABLE table_train_99 ("id" INT, "mini_mental_state_examination_mmse" INT, "language" TEXT, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "allergy_to_formoterol" BOOLEAN, "geriatric_depression_scale_gds" INT, "NOUSE" FLOAT)
| known hypersensitivity or prior exposure to formoterol. | SELECT * FROM table_train_99 WHERE allergy_to_formoterol = 1 | SELECT * FROM "table_train_99" WHERE "allergy_to_formoterol" = 1 | 0.0625 |
CREATE TABLE table_15201 ("Tournament" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| Name the tournament for 2012 grand slam tournaments | SELECT "Tournament" FROM table_15201 WHERE "2012" = 'grand slam tournaments' | SELECT "Tournament" FROM "table_15201" WHERE "2012" = 'grand slam tournaments' | 0.076172 |
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