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CREATE TABLE table_26595 ("County" TEXT, "Coakley %" TEXT, "Coakley votes" FLOAT, "Brown %" TEXT, "Brown votes" FLOAT, "Kennedy %" TEXT, "Kennedy votes" FLOAT)
| How many votes did kennedy win when coakley won 66.2% | SELECT MIN("Kennedy votes") FROM table_26595 WHERE "Coakley %" = '66.2%' | SELECT MIN("Kennedy votes") FROM "table_26595" WHERE "Coakley %" = '66.2%' | 0.072266 |
CREATE TABLE table_22673956_1 (race_name VARCHAR, track VARCHAR)
| How many races took place on the Indianapolis Motor Speedway track? | SELECT COUNT(race_name) FROM table_22673956_1 WHERE track = "Indianapolis Motor Speedway" | SELECT COUNT("race_name") FROM "table_22673956_1" WHERE "Indianapolis Motor Speedway" = "track" | 0.092773 |
CREATE TABLE table_27633 ("Locale" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| How many results are listed for shot PCT Where PA is 79? | SELECT COUNT("Shot Pct.") FROM table_27633 WHERE "PA" = '79' | SELECT COUNT("Shot Pct.") FROM "table_27633" WHERE "PA" = '79' | 0.060547 |
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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)
| how many times did patient 030-53717 take a lab ast (sgot) test on their last hospital visit? | SELECT COUNT(*) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-53717' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'ast (sgot)' | SELECT COUNT(*) FROM "lab" WHERE "lab"."labname" = 'ast (sgot)' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-53717' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1)) | 0.404297 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| when patient 67902 had the first closed bronchial biopsy until 2100? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'closed bronchial biopsy') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 67902) AND STRFTIME('%y', procedures_icd.charttime) <= '2100' ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 67902 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'closed bronchial biopsy' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") <= '2100' ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1 | 0.536133 |
CREATE TABLE table_name_61 (avg_g INT, effic VARCHAR)
| What is the sum avg/g with an effic of 858.4? | SELECT SUM(avg_g) FROM table_name_61 WHERE effic = 858.4 | SELECT SUM("avg_g") FROM "table_name_61" WHERE "effic" = 858.4 | 0.060547 |
CREATE TABLE table_name_19 (withdrawn VARCHAR, lswr_no VARCHAR, to_iow VARCHAR)
| What is the number of the year withdrawn for a LSWR number greater than 210 and a To LoW year of 1923? | SELECT COUNT(withdrawn) FROM table_name_19 WHERE lswr_no > 210 AND to_iow = 1923 | SELECT COUNT("withdrawn") FROM "table_name_19" WHERE "lswr_no" > 210 AND "to_iow" = 1923 | 0.085938 |
CREATE TABLE table_29141354_4 (_episode_2 VARCHAR, andrew_and_georgies_guest_lee_mack_replaced_andrew_flintoff_as_team_captain_for_one_week_in_series_4 VARCHAR, episode VARCHAR)
| How many items are listed under 'andrew and georgies guest lee mack replaced andrew flint as team captain for one week' for episode 04x04? | SELECT COUNT(andrew_and_georgies_guest_lee_mack_replaced_andrew_flintoff_as_team_captain_for_one_week_in_series_4), _episode_2 FROM table_29141354_4 WHERE episode = "04x04" | SELECT COUNT("andrew_and_georgies_guest_lee_mack_replaced_andrew_flintoff_as_team_captain_for_one_week_in_series_4"), "_episode_2" FROM "table_29141354_4" WHERE "04x04" = "episode" | 0.175781 |
CREATE TABLE table_name_6 (score VARCHAR, date VARCHAR)
| What is the Score that has a Date of 2005-10-29? | SELECT score FROM table_name_6 WHERE date = "2005-10-29" | SELECT "score" FROM "table_name_6" WHERE "2005-10-29" = "date" | 0.060547 |
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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| when was patient 14054 last sputum microbiologic test during the last month? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14054) AND microbiologyevents.spec_type_desc = 'sputum' AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14054 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'sputum' AND DATETIME("microbiologyevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.518555 |
CREATE TABLE cmi_cross_references (cmi_cross_ref_id VARCHAR)
CREATE TABLE parking_fines (cmi_cross_ref_id VARCHAR)
| Which cmi cross reference id is not related to any parking taxes? | SELECT cmi_cross_ref_id FROM cmi_cross_references EXCEPT SELECT cmi_cross_ref_id FROM parking_fines | SELECT "cmi_cross_ref_id" FROM "cmi_cross_references" EXCEPT SELECT "cmi_cross_ref_id" FROM "parking_fines" | 0.104492 |
CREATE TABLE table_70688 ("Season" FLOAT, "Champion" TEXT, "Motorcycle" TEXT, "Wins" FLOAT, "2nd pl." FLOAT, "3rd pl." FLOAT, "Team" TEXT)
| Who is the champion when the motorcycle is ducati 916 and 2nd place is less than 5? | SELECT "Champion" FROM table_70688 WHERE "Motorcycle" = 'ducati 916' AND "2nd pl." < '5' | SELECT "Champion" FROM "table_70688" WHERE "2nd pl." < '5' AND "Motorcycle" = 'ducati 916' | 0.087891 |
CREATE TABLE table_60989 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Difference" TEXT, "Points 1" TEXT)
| What is the total number of Goals For, when Points 1 is '41'? | SELECT COUNT("Goals For") FROM table_60989 WHERE "Points 1" = '41' | SELECT COUNT("Goals For") FROM "table_60989" WHERE "Points 1" = '41' | 0.066406 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and manufacturer , and group by attribute founder, show from low to high by the Y-axis. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Manufacturer | SELECT "T1"."Name", "T1"."Manufacturer" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder", "T1"."Name" ORDER BY "T1"."Manufacturer" NULLS FIRST | 0.197266 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| report the number of patients diagnosed with percutaneous transluminal coronary angioplasty status who had home health care discharge. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.short_title = "Status-post ptca" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Status-post ptca" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" | 0.243164 |
CREATE TABLE table_60621 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
| What was the score of the game on February 8? | SELECT "Score" FROM table_60621 WHERE "Date" = 'february 8' | SELECT "Score" FROM "table_60621" WHERE "Date" = 'february 8' | 0.05957 |
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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE 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 ReviewTaskStates (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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE 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)
| number of all users in a tag. | WITH answers AS (SELECT a.OwnerUserId AS UserId, 1.0 / RANK() OVER (PARTITION BY q.Id ORDER BY a.Score DESC) AS utility, 1.0 * q.AnswerCount AS debatableness, 1.0 / RANK() OVER (PARTITION BY q.Id ORDER BY a.Score DESC) * q.AnswerCount / @tag_debate AS EC FROM Posts AS q JOIN Posts AS a ON q.Id = a.ParentId JOIN PostTags ON q.Id = PostId JOIN Tags AS t ON TagId = t.Id WHERE TagName = '##tag##'), user_MEC AS (SELECT UserId AS "user_link", SUM(EC) / COUNT(*) AS MEC, AVG(utility) AS AU, AVG(debatableness) AS D, @tag_debate AS D_avg_t, COUNT(*) AS Q_u_t FROM answers GROUP BY UserId) SELECT COUNT(*) FROM user_MEC WHERE MEC >= 1 AND Q_u_t >= 1 | WITH "user_MEC" AS (SELECT MAX(1) AS "_" FROM "Posts" AS "q" JOIN "Tags" AS "t" ON "TagId" = "t"."Id" JOIN "PostTags" ON "PostId" = "q"."Id" JOIN "Posts" AS "a" ON "a"."ParentId" = "q"."Id" WHERE "TagName" = '##tag##' GROUP BY "UserId") SELECT COUNT(*) FROM "user_MEC" WHERE "MEC" >= 1 AND "Q_u_t" >= 1 | 0.294922 |
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
| Show the number of accounts for all accounts by the customer with first name 'Meaghan' opened in each day Bin the account open day by year interval in a bar chart, list in desc by the x axis. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan' ORDER BY date_account_opened DESC | SELECT "date_account_opened", COUNT("date_account_opened") FROM "Accounts" AS "T1" JOIN "Customers" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" AND "T2"."customer_first_name" = 'Meaghan' ORDER BY "date_account_opened" DESC NULLS LAST | 0.234375 |
CREATE TABLE table_41339 ("Week" FLOAT, "Date" TEXT, "Time" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "NFL Recap" TEXT, "Record" TEXT)
| What is the Record for week 12? | SELECT "Record" FROM table_41339 WHERE "Week" = '12' | SELECT "Record" FROM "table_41339" WHERE "Week" = '12' | 0.052734 |
CREATE TABLE table_69340 ("Game" FLOAT, "Date" TEXT, "Location" TEXT, "Time" TEXT, "Attendance" FLOAT)
| What is the attendance amount of the race with a time of 2:07? | SELECT MAX("Attendance") FROM table_69340 WHERE "Time" = '2:07' | SELECT MAX("Attendance") FROM "table_69340" WHERE "Time" = '2:07' | 0.063477 |
CREATE TABLE table_13489 ("Date" TEXT, "Japan" TEXT, "Americas" TEXT, "Other" TEXT, "Total" TEXT)
| Which date had Japanese sales of 0.57 million? | SELECT "Date" FROM table_13489 WHERE "Japan" = '0.57 million' | SELECT "Date" FROM "table_13489" WHERE "Japan" = '0.57 million' | 0.061523 |
CREATE TABLE table_name_22 (place VARCHAR, player VARCHAR)
| Where has a Player of tom watson? | SELECT place FROM table_name_22 WHERE player = "tom watson" | SELECT "place" FROM "table_name_22" WHERE "player" = "tom watson" | 0.063477 |
CREATE TABLE table_name_37 (watts INT, city_of_license VARCHAR, class VARCHAR, frequency VARCHAR)
| How many Watts has a Class of a, and a Frequency of 91.5 fm, and a City of license of elkhart, kansas? | SELECT MIN(watts) FROM table_name_37 WHERE class = "a" AND frequency = "91.5 fm" AND city_of_license = "elkhart, kansas" | SELECT MIN("watts") FROM "table_name_37" WHERE "91.5 fm" = "frequency" AND "a" = "class" AND "city_of_license" = "elkhart, kansas" | 0.126953 |
CREATE TABLE table_29438 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( millions ) " TEXT)
| when was the episode with production code '2arg01' originally aired? | SELECT "Original air date" FROM table_29438 WHERE "Production code" = '2ARG01' | SELECT "Original air date" FROM "table_29438" WHERE "Production code" = '2ARG01' | 0.078125 |
CREATE TABLE table_name_91 (appointed_elected VARCHAR, name VARCHAR)
| What is the year when chief justice Mark Cady was appointed/elected? | SELECT appointed_elected FROM table_name_91 WHERE name = "chief justice mark cady" | SELECT "appointed_elected" FROM "table_name_91" WHERE "chief justice mark cady" = "name" | 0.085938 |
CREATE TABLE roles (role_code TEXT, role_name TEXT, role_description TEXT)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_name TEXT, document_type_description TEXT)
CREATE TABLE employees (employee_id DECIMAL, role_code TEXT, employee_name TEXT, gender_mfu TEXT, date_of_birth TIME, other_details TEXT)
CREATE TABLE ref_locations (location_code TEXT, location_name TEXT, location_description TEXT)
CREATE TABLE document_locations (document_id DECIMAL, location_code TEXT, date_in_location_from TIME, date_in_locaton_to TIME)
CREATE TABLE all_documents (document_id DECIMAL, date_stored TIME, document_type_code TEXT, document_name TEXT, document_description TEXT, other_details TEXT)
CREATE TABLE ref_calendar (calendar_date TIME, day_number DECIMAL)
CREATE TABLE documents_to_be_destroyed (document_id DECIMAL, destruction_authorised_by_employee_id DECIMAL, destroyed_by_employee_id DECIMAL, planned_destruction_date TIME, actual_destruction_date TIME, other_details TEXT)
| Return the day Number and stored date for all the documents. | SELECT T2.day_number, T1.date_stored FROM all_documents AS T1 JOIN ref_calendar AS T2 ON T1.date_stored = T2.calendar_date | SELECT "T2"."day_number", "T1"."date_stored" FROM "all_documents" AS "T1" JOIN "ref_calendar" AS "T2" ON "T1"."date_stored" = "T2"."calendar_date" | 0.142578 |
CREATE TABLE table_4482 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Where did the away team score 7.15 (57)? | SELECT "Venue" FROM table_4482 WHERE "Away team score" = '7.15 (57)' | SELECT "Venue" FROM "table_4482" WHERE "Away team score" = '7.15 (57)' | 0.068359 |
CREATE TABLE table_43788 ("Region ( year ) " TEXT, "No. 1" TEXT, "No. 2" TEXT, "No. 3" TEXT, "No. 4" TEXT, "No. 5" TEXT, "No. 6" TEXT, "No. 7" TEXT, "No. 8" TEXT, "No. 9" TEXT, "No. 10" TEXT)
| Name the No. 5 which has a No. 6 of ethan, and a No. 4 of william, and a No. 9 of john? | SELECT "No. 5" FROM table_43788 WHERE "No. 6" = 'ethan' AND "No. 4" = 'william' AND "No. 9" = 'john' | SELECT "No. 5" FROM "table_43788" WHERE "No. 4" = 'william' AND "No. 6" = 'ethan' AND "No. 9" = 'john' | 0.099609 |
CREATE TABLE table_name_57 (latitude INT, water__sqmi_ VARCHAR, ansi_code VARCHAR)
| what is the latitude when water (sqmi) is 0.058 and the ansi code is less than 1759683? | SELECT AVG(latitude) FROM table_name_57 WHERE water__sqmi_ = 0.058 AND ansi_code < 1759683 | SELECT AVG("latitude") FROM "table_name_57" WHERE "ansi_code" < 1759683 AND "water__sqmi_" = 0.058 | 0.095703 |
CREATE TABLE table_name_66 (singapore_gross VARCHAR, director VARCHAR)
| For the directed by 1991, what was the gross in Singapore? | SELECT singapore_gross FROM table_name_66 WHERE director = "1991" | SELECT "singapore_gross" FROM "table_name_66" WHERE "1991" = "director" | 0.069336 |
CREATE TABLE table_18540104_1 (japanese_title VARCHAR, average_ratings VARCHAR)
| What is the Japanese title with an average rating of 11.6%? | SELECT japanese_title FROM table_18540104_1 WHERE average_ratings = "11.6%" | SELECT "japanese_title" FROM "table_18540104_1" WHERE "11.6%" = "average_ratings" | 0.079102 |
CREATE TABLE table_9067 ("Name" TEXT, "Height" TEXT, "Weight" FLOAT, "Position" TEXT, "Bats/Throws" TEXT, "Class" TEXT, "Hometown/Highschool" TEXT)
| What was the hometown/high school of 170 pound player tyler wilson? | SELECT "Hometown/Highschool" FROM table_9067 WHERE "Weight" = '170' AND "Name" = 'tyler wilson' | SELECT "Hometown/Highschool" FROM "table_9067" WHERE "Name" = 'tyler wilson' AND "Weight" = '170' | 0.094727 |
CREATE TABLE table_name_30 (game INT, record VARCHAR)
| Which Game is the lowest one that has a Record of 11-4? | SELECT MIN(game) FROM table_name_30 WHERE record = "11-4" | SELECT MIN("game") FROM "table_name_30" WHERE "11-4" = "record" | 0.061523 |
CREATE TABLE song (song_name TEXT, artist_name TEXT, country TEXT, f_id DECIMAL, genre_is TEXT, rating DECIMAL, languages TEXT, releasedate TIME, resolution DECIMAL)
CREATE TABLE files (f_id DECIMAL, artist_name TEXT, file_size TEXT, duration TEXT, formats TEXT)
CREATE TABLE genre (g_name TEXT, rating TEXT, most_popular_in TEXT)
CREATE TABLE artist (artist_name TEXT, country TEXT, gender TEXT, preferred_genre TEXT)
| What are the ids of all songs that have higher resolution of the average resolution in the modern genre? | SELECT f_id FROM song WHERE resolution > (SELECT AVG(resolution) FROM song WHERE genre_is = "modern") | SELECT "f_id" FROM "song" WHERE "resolution" > (SELECT AVG("resolution") FROM "song" WHERE "genre_is" = "modern") | 0.110352 |
CREATE TABLE table_55259 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score" TEXT)
| Which tournament had a score of 6 4, 4 6, 7 5? | SELECT "Tournament" FROM table_55259 WHERE "Score" = '6–4, 4–6, 7–5' | SELECT "Tournament" FROM "table_55259" WHERE "Score" = '6–4, 4–6, 7–5' | 0.068359 |
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 name and the sum of code , and group by attribute name, could you display total number in desc order? | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code DESC | SELECT "T2"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T1"."Code" DESC NULLS LAST | 0.174805 |
CREATE TABLE table_203_207 (id DECIMAL, "site name" TEXT, "reason for designation\ biological interest" DECIMAL, "reason for designation\ geological interest" DECIMAL, "area\ hectares" DECIMAL, "area\ acres" DECIMAL, "coordinates & grid ref" TEXT, "year in which notified" DECIMAL, "other designations" TEXT, "map & citation" TEXT)
| which is larger -lrb- acres -rrb- carver 's rocks or cawdo quarry | SELECT "site name" FROM table_203_207 WHERE "site name" IN ("carver's rocks", 'cawdor quarry') ORDER BY "area\nacres" DESC LIMIT 1 | SELECT "site name" FROM "table_203_207" WHERE "site name" IN ("carver's rocks", 'cawdor quarry') ORDER BY "area\nacres" DESC NULLS LAST LIMIT 1 | 0.139648 |
CREATE TABLE table_204_477 (id DECIMAL, "pos" DECIMAL, "no" DECIMAL, "driver" TEXT, "team" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| which team finished last in the 1998 marlboro grand prix of miami ? | SELECT "team" FROM table_204_477 ORDER BY "pos" DESC LIMIT 1 | SELECT "team" FROM "table_204_477" ORDER BY "pos" DESC NULLS LAST LIMIT 1 | 0.071289 |
CREATE TABLE table_name_90 (year INT, finish VARCHAR, stage VARCHAR)
| What year was finish Toulouse, and stage was larger than 12? | SELECT SUM(year) FROM table_name_90 WHERE finish = "toulouse" AND stage > 12 | SELECT SUM("year") FROM "table_name_90" WHERE "finish" = "toulouse" AND "stage" > 12 | 0.082031 |
CREATE TABLE table_9418 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "School/Club Team" TEXT)
| Which player has fewer than 2 rounds? | SELECT "Player" FROM table_9418 WHERE "Round" < '2' | SELECT "Player" FROM "table_9418" WHERE "Round" < '2' | 0.051758 |
CREATE TABLE table_name_27 (position VARCHAR, pick VARCHAR, school_club_team VARCHAR)
| Which position at UCLA has a lower than 92 pick number? | SELECT position FROM table_name_27 WHERE pick < 92 AND school_club_team = "ucla" | SELECT "position" FROM "table_name_27" WHERE "pick" < 92 AND "school_club_team" = "ucla" | 0.085938 |
CREATE TABLE table_2639433_4 (market_share__target_group_14_49_ VARCHAR, viewers__in_millions_target_group_14_49_ VARCHAR)
| How many times was the viewer target group 0.63? | SELECT COUNT(market_share__target_group_14_49_) FROM table_2639433_4 WHERE viewers__in_millions_target_group_14_49_ = "0.63" | SELECT COUNT("market_share__target_group_14_49_") FROM "table_2639433_4" WHERE "0.63" = "viewers__in_millions_target_group_14_49_" | 0.126953 |
CREATE TABLE table_50419 ("Rank" FLOAT, "Title" TEXT, "Studio" TEXT, "Director" TEXT, "Gross" TEXT)
| WHAT IS THE RANK OF UNIVERSAL, AND DIRECTOR JOHN HUGHES? | SELECT "Rank" FROM table_50419 WHERE "Studio" = 'universal' AND "Director" = 'john hughes' | SELECT "Rank" FROM "table_50419" WHERE "Director" = 'john hughes' AND "Studio" = 'universal' | 0.089844 |
CREATE TABLE table_61834 ("Seat" FLOAT, "Season 1" TEXT, "Season 2" TEXT, "Season 3" TEXT, "Season 6" TEXT, "Season 7" TEXT)
| Which Season 7 has a Seat larger than 1, and a Season 3 of w. brett wilson? | SELECT "Season 7" FROM table_61834 WHERE "Seat" > '1' AND "Season 3" = 'w. brett wilson' | SELECT "Season 7" FROM "table_61834" WHERE "Season 3" = 'w. brett wilson' AND "Seat" > '1' | 0.087891 |
CREATE TABLE table_name_52 (song VARCHAR, draw VARCHAR, points VARCHAR, place VARCHAR)
| Which Song has Points smaller than 53, and a Place larger than 8, and a Draw larger than 1? | SELECT song FROM table_name_52 WHERE points < 53 AND place > 8 AND draw > 1 | SELECT "song" FROM "table_name_52" WHERE "draw" > 1 AND "place" > 8 AND "points" < 53 | 0.083008 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE month (month_number INT, month_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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 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 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 restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| i need a flight from PITTSBURGH to NEW YORK | 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, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.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" = 'PITTSBURGH' 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 "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'NEW YORK' | 0.498047 |
CREATE TABLE table_48679 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| How many laps did the driver with the yamaha manufacturer go on grid 3? | SELECT "Laps" FROM table_48679 WHERE "Manufacturer" = 'yamaha' AND "Grid" = '3' | SELECT "Laps" FROM "table_48679" WHERE "Grid" = '3' AND "Manufacturer" = 'yamaha' | 0.079102 |
CREATE TABLE table_79572 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "Enrollment 08-09" FLOAT, "IHSAA Class" TEXT, "IHSAA Class Football" TEXT, "County" TEXT, "Year Joined" FLOAT)
| What school is in 36 Jackson? | SELECT "School" FROM table_79572 WHERE "County" = '36 jackson' | SELECT "School" FROM "table_79572" WHERE "County" = '36 jackson' | 0.0625 |
CREATE TABLE table_28247 ("Stage" FLOAT, "Winner" TEXT, "General Classification" TEXT, "Points Classification" TEXT, "Young Rider Classification" TEXT, "Teams Classification" TEXT)
| What is the number of stages where the teams classification leader is Cerv lo Testteam? | SELECT COUNT("Stage") FROM table_28247 WHERE "Teams Classification" = 'Cervélo TestTeam' | SELECT COUNT("Stage") FROM "table_28247" WHERE "Teams Classification" = 'Cervélo TestTeam' | 0.087891 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose diagnoses short title is acute kidney failure nos and drug route is nu? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Acute kidney failure NOS" AND prescriptions.route = "NU" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute kidney failure NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "NU" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 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_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 month (month_number INT, month_name TEXT)
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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE 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 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
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)
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 time_interval (period TEXT, begin_time INT, end_time INT)
| show me the flights from PHILADELPHIA to DALLAS | 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, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.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" = 'PHILADELPHIA' 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 "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.498047 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| how many patients have had a sputum, expectorated microbiology test performed in 2104? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'sputum, expectorated' AND STRFTIME('%y', microlab.culturetakentime) = '2104') | WITH "_u_0" AS (SELECT "microlab"."patientunitstayid" FROM "microlab" WHERE "microlab"."culturesite" = 'sputum, expectorated' AND STRFTIME('%y', "microlab"."culturetakentime") = '2104' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.365234 |
CREATE TABLE table_21459 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the number of the game that was played on January 19? | SELECT MAX("Game") FROM table_21459 WHERE "Date" = 'January 19' | SELECT MAX("Game") FROM "table_21459" WHERE "Date" = 'January 19' | 0.063477 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose marital status is single and drug route is tp? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "SINGLE" AND prescriptions.route = "TP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.22168 |
CREATE TABLE table_66256 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total number of gold medals won among nations that won more than 27 bronze and less than 305 medals total? | SELECT COUNT("Gold") FROM table_66256 WHERE "Bronze" > '27' AND "Total" < '305' | SELECT COUNT("Gold") FROM "table_66256" WHERE "Bronze" > '27' AND "Total" < '305' | 0.079102 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients are diagnosed with icd9 code 44020 and tested under category hematology in lab? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "44020" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "44020" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.259766 |
CREATE TABLE table_11173827_1 (rank VARCHAR, chinese_title VARCHAR)
| What is the rank of the chinese title ? | SELECT rank FROM table_11173827_1 WHERE chinese_title = "緣來自有機" | SELECT "rank" FROM "table_11173827_1" WHERE "chinese_title" = "緣來自有機" | 0.067383 |
CREATE TABLE table_train_109 ("id" INT, "serum_potassium" FLOAT, "systolic_blood_pressure_sbp" INT, "body_mass_index_bmi" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| potassium > 5.5 meq / dl at baseline | SELECT * FROM table_train_109 WHERE serum_potassium > 5.5 | SELECT * FROM "table_train_109" WHERE "serum_potassium" > 5.5 | 0.05957 |
CREATE TABLE management (department_ID INT, head_ID INT, temporary_acting TEXT)
CREATE TABLE head (head_ID INT, name TEXT, born_state TEXT, age FLOAT)
CREATE TABLE department (Department_ID INT, Name TEXT, Creation TEXT, Ranking INT, Budget_in_Billions FLOAT, Num_Employees FLOAT)
| Give me a bar chart for budget_in_billions of each name, and sort by the total number in asc. | SELECT Name, Budget_in_Billions FROM department ORDER BY Budget_in_Billions | SELECT "Name", "Budget_in_Billions" FROM "department" ORDER BY "Budget_in_Billions" NULLS FIRST | 0.092773 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| patient 8245 was admitted to hospital the last year? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 8245 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."subject_id" = 8245 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.182617 |
CREATE TABLE table_77046 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| What is Position in Table, when Replaced by is 'Jos Pekerman'? | SELECT "Position in table" FROM table_77046 WHERE "Replaced by" = 'josé pekerman' | SELECT "Position in table" FROM "table_77046" WHERE "Replaced by" = 'josé pekerman' | 0.081055 |
CREATE TABLE people (Name VARCHAR, People_ID VARCHAR)
CREATE TABLE perpetrator (People_ID VARCHAR)
| What are the names of perpetrators? | SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID | SELECT "T1"."Name" FROM "people" AS "T1" JOIN "perpetrator" AS "T2" ON "T1"."People_ID" = "T2"."People_ID" | 0.103516 |
CREATE TABLE table_168482_1 (_number_of_seats_won INT)
| What is the largest number of seats won? | SELECT MAX(_number_of_seats_won) FROM table_168482_1 | SELECT MAX("_number_of_seats_won") FROM "table_168482_1" | 0.054688 |
CREATE TABLE table_55429 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| What was the attendance for the game that has a record of 1-1? | SELECT "Attendance" FROM table_55429 WHERE "Record" = '1-1' | SELECT "Attendance" FROM "table_55429" WHERE "Record" = '1-1' | 0.05957 |
CREATE TABLE artist (artist_id DECIMAL, name TEXT, country TEXT, year_join DECIMAL, age DECIMAL)
CREATE TABLE exhibition_record (exhibition_id DECIMAL, date TEXT, attendance DECIMAL)
CREATE TABLE exhibition (exhibition_id DECIMAL, year DECIMAL, theme TEXT, artist_id DECIMAL, ticket_price DECIMAL)
| What are the themes and years for exhibitions, sorted by ticket price descending? | SELECT theme, year FROM exhibition ORDER BY ticket_price DESC | SELECT "theme", "year" FROM "exhibition" ORDER BY "ticket_price" DESC NULLS LAST | 0.078125 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose diagnosis short title is obstructive sleep apnea and drug route is pr. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Obstructive sleep apnea" AND prescriptions.route = "PR" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Obstructive sleep apnea" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "PR" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.297852 |
CREATE TABLE table_name_58 (class VARCHAR, wins VARCHAR, year VARCHAR)
| In 1992, what class has higher wins than 0? | SELECT class FROM table_name_58 WHERE wins > 0 AND year = 1992 | SELECT "class" FROM "table_name_58" WHERE "wins" > 0 AND "year" = 1992 | 0.068359 |
CREATE TABLE table_name_44 (player VARCHAR, date VARCHAR, transfer_fee VARCHAR)
| Which Player had a Date of 31 jan. 2008, and a Transfer fee of 3.87m? | SELECT player FROM table_name_44 WHERE date = "31 jan. 2008" AND transfer_fee = "£3.87m" | SELECT "player" FROM "table_name_44" WHERE "31 jan. 2008" = "date" AND "transfer_fee" = "£3.87m" | 0.09375 |
CREATE TABLE table_66832 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| Which club has a try bonus of 9 and 43 tries against? | SELECT "Club" FROM table_66832 WHERE "Tries against" = '43' AND "Try bonus" = '9' | SELECT "Club" FROM "table_66832" WHERE "Tries against" = '43' AND "Try bonus" = '9' | 0.081055 |
CREATE TABLE table_40443 ("Year" FLOAT, "Series" TEXT, "Winning team" TEXT, "Losing team" TEXT, "Score" TEXT, "Site" TEXT)
| Who was the winning team in 2008? | SELECT "Winning team" FROM table_40443 WHERE "Year" = '2008' | SELECT "Winning team" FROM "table_40443" WHERE "Year" = '2008' | 0.060547 |
CREATE TABLE table_17121262_9 (location_attendance VARCHAR, game VARCHAR)
| What was the location and attendance for game 60? | SELECT location_attendance FROM table_17121262_9 WHERE game = 60 | SELECT "location_attendance" FROM "table_17121262_9" WHERE "game" = 60 | 0.068359 |
CREATE TABLE area (course_id INT, area VARCHAR)
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 course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE 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 requirement (requirement_id INT, requirement VARCHAR, college 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 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 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
| Can undergrads enroll in the course 216 ? | SELECT DISTINCT advisory_requirement, enforced_requirement, name FROM course WHERE department = 'EECS' AND number = 216 | SELECT DISTINCT "advisory_requirement", "enforced_requirement", "name" FROM "course" WHERE "department" = 'EECS' AND "number" = 216 | 0.12793 |
CREATE TABLE table_name_71 (winner VARCHAR, week_of VARCHAR, runner_up VARCHAR)
| Who is the winner in the week listed as 26 June 2 weeks, when the runner-up is Arantxa S nchez Vicario? | SELECT winner FROM table_name_71 WHERE week_of = "26 june 2 weeks" AND runner_up = "arantxa sánchez vicario" | SELECT "winner" FROM "table_name_71" WHERE "26 june 2 weeks" = "week_of" AND "arantxa sánchez vicario" = "runner_up" | 0.113281 |
CREATE TABLE table_name_8 (data_limit__gb VARCHAR, company VARCHAR)
| What is the data limit for vodafone? | SELECT data_limit__gb FROM table_name_8 WHERE company = "vodafone" | SELECT "data_limit__gb" FROM "table_name_8" WHERE "company" = "vodafone" | 0.070313 |
CREATE TABLE table_name_22 (heat_rank VARCHAR, country VARCHAR)
| Name the heat rank for senegal | SELECT heat_rank FROM table_name_22 WHERE country = "senegal" | SELECT "heat_rank" FROM "table_name_22" WHERE "country" = "senegal" | 0.06543 |
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE 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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
| explain restriction ap80 | SELECT DISTINCT advance_purchase, application, maximum_stay, minimum_stay, no_discounts, restriction_code, saturday_stay_required, stopovers FROM restriction WHERE restriction_code = 'AP/80' | SELECT DISTINCT "advance_purchase", "application", "maximum_stay", "minimum_stay", "no_discounts", "restriction_code", "saturday_stay_required", "stopovers" FROM "restriction" WHERE "restriction_code" = 'AP/80' | 0.205078 |
CREATE TABLE table_62619 ("Opposing Teams" TEXT, "Against" FLOAT, "Date" TEXT, "Venue" TEXT, "Status" TEXT)
| What is the average Against, when Status is 'Five Nations', and when Date is '16/03/1996'? | SELECT AVG("Against") FROM table_62619 WHERE "Status" = 'five nations' AND "Date" = '16/03/1996' | SELECT AVG("Against") FROM "table_62619" WHERE "Date" = '16/03/1996' AND "Status" = 'five nations' | 0.095703 |
CREATE TABLE routes (rid DECIMAL, dst_apid DECIMAL, dst_ap TEXT, src_apid DECIMAL, src_ap TEXT, alid DECIMAL, airline TEXT, codeshare TEXT)
CREATE TABLE airports (apid DECIMAL, name TEXT, city TEXT, country TEXT, x DECIMAL, y DECIMAL, elevation DECIMAL, iata TEXT, icao TEXT)
CREATE TABLE airlines (alid DECIMAL, name TEXT, iata TEXT, icao TEXT, callsign TEXT, country TEXT, active TEXT)
| List the cities which have more than 2 airports sorted by the number of airports. | SELECT city FROM airports GROUP BY city HAVING COUNT(*) > 2 ORDER BY COUNT(*) | SELECT "city" FROM "airports" GROUP BY "city" HAVING COUNT(*) > 2 ORDER BY COUNT(*) NULLS FIRST | 0.092773 |
CREATE TABLE table_66983 ("Ship" TEXT, "Pennant number" TEXT, "Laid down" TEXT, "Launched" TEXT, "Completed" TEXT)
| Name what was completed on 12 april 1934 | SELECT "Completed" FROM table_66983 WHERE "Launched" = '12 april 1934' | SELECT "Completed" FROM "table_66983" WHERE "Launched" = '12 april 1934' | 0.070313 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| Tell me the number of widow patients who had a hematocrit lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.label = "Hematocrit" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematocrit" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.201172 |
CREATE TABLE table_name_47 (league VARCHAR, games VARCHAR)
| What is the league name that has a Games listing of 10? | SELECT league FROM table_name_47 WHERE games = "10" | SELECT "league" FROM "table_name_47" WHERE "10" = "games" | 0.055664 |
CREATE TABLE table_76587 ("2006/ 07" TEXT, "2008/ 09" TEXT, "2010/ 11" TEXT, "2011/ 12" TEXT, "2012/ 13" TEXT)
| What is 2010-11, when 2006/07 is UR? | SELECT "2010/ 11" FROM table_76587 WHERE "2006/ 07" = 'ur' | SELECT "2010/ 11" FROM "table_76587" WHERE "2006/ 07" = 'ur' | 0.058594 |
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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE 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 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
| Total number of questions posted in a given year.. | SELECT COUNT(*) FROM Posts WHERE CreationDate BETWEEN '2018-01-01' AND '2018-12-31' AND Tags LIKE '%python%' | SELECT COUNT(*) FROM "Posts" WHERE "CreationDate" <= '2018-12-31' AND "CreationDate" >= '2018-01-01' AND "Tags" LIKE '%python%' | 0.124023 |
CREATE TABLE table_name_12 (club VARCHAR, third VARCHAR, runners_up VARCHAR, winners VARCHAR)
| Which club has 1 runners-up with 0 winners and 2 third place earned? | SELECT club FROM table_name_12 WHERE runners_up = 1 AND winners = 0 AND third = 2 | SELECT "club" FROM "table_name_12" WHERE "runners_up" = 1 AND "third" = 2 AND "winners" = 0 | 0.088867 |
CREATE TABLE table_name_52 (award VARCHAR, category VARCHAR)
| What award has breakthrough performance as the category? | SELECT award FROM table_name_52 WHERE category = "breakthrough performance" | SELECT "award" FROM "table_name_52" WHERE "breakthrough performance" = "category" | 0.079102 |
CREATE TABLE table_12792876_4 (points_against VARCHAR, points VARCHAR)
| Name the points against for 51 points | SELECT points_against FROM table_12792876_4 WHERE points = "51" | SELECT "points_against" FROM "table_12792876_4" WHERE "51" = "points" | 0.067383 |
CREATE TABLE table_name_39 (Id VARCHAR)
| What is 1989, when 1999 is F, and when 1994 is 2R? | SELECT 1989 FROM table_name_39 WHERE 1999 = "f" AND 1994 = "2r" | SELECT 1989 FROM "table_name_39" WHERE "2r" = 1994 AND "f" = 1999 | 0.063477 |
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)
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)
| provide the number of patients whose days of hospital stay is greater than 15 and lab test name is creatinine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "15" AND lab.label = "Creatinine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Creatinine" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "15" < "demographic"."days_stay" | 0.191406 |
CREATE TABLE table_67207 ("Year" FLOAT, "Denomination" TEXT, "Reverse" TEXT, "Weight" TEXT, "Diameter" TEXT, "Fineness" TEXT, "Series" TEXT)
| What was the fineness prior to 2007? | SELECT "Fineness" FROM table_67207 WHERE "Year" < '2007' | SELECT "Fineness" FROM "table_67207" WHERE "Year" < '2007' | 0.056641 |
CREATE TABLE table_name_94 (dist__miles_ VARCHAR, course VARCHAR, race_name VARCHAR, runners VARCHAR)
| What is the distance for the unnamed race with 3 runners at Newcastle? | SELECT dist__miles_ FROM table_name_94 WHERE race_name = "unnamed race" AND runners = "3" AND course = "newcastle" | SELECT "dist__miles_" FROM "table_name_94" WHERE "3" = "runners" AND "course" = "newcastle" AND "race_name" = "unnamed race" | 0.121094 |
CREATE TABLE table_49433 ("Player" TEXT, "Qual." TEXT, "Baku" TEXT, "Sochi" TEXT, "Elista" TEXT, "Nalchik" TEXT, "Jermuk" TEXT, "Astrakhan" TEXT, "Played" FLOAT)
| What is the nalchik with 4 played, a rl qual., and 100 jermuk? | SELECT "Nalchik" FROM table_49433 WHERE "Played" = '4' AND "Qual." = 'rl' AND "Jermuk" = '100' | SELECT "Nalchik" FROM "table_49433" WHERE "Jermuk" = '100' AND "Played" = '4' AND "Qual." = 'rl' | 0.09375 |
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
| What is the weekday of birth of professors teaching course ACCT-211? Show a bar chart. | SELECT EMP_DOB, COUNT(EMP_DOB) FROM EMPLOYEE AS T1 JOIN CLASS AS T2 ON T1.EMP_NUM = T2.PROF_NUM WHERE CRS_CODE = "ACCT-211" | SELECT "EMP_DOB", COUNT("EMP_DOB") FROM "EMPLOYEE" AS "T1" JOIN "CLASS" AS "T2" ON "T1"."EMP_NUM" = "T2"."PROF_NUM" WHERE "ACCT-211" = "CRS_CODE" | 0.141602 |
CREATE TABLE table_72030 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
| On which day was there a record of 36-39? | SELECT "Date" FROM table_72030 WHERE "Record" = '36-39' | SELECT "Date" FROM "table_72030" WHERE "Record" = '36-39' | 0.055664 |
CREATE TABLE table_32299 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the home team's score at the match in front of 19,115 at Punt Road Oval? | SELECT "Home team score" FROM table_32299 WHERE "Crowd" > '19,115' AND "Venue" = 'punt road oval' | SELECT "Home team score" FROM "table_32299" WHERE "Crowd" > '19,115' AND "Venue" = 'punt road oval' | 0.09668 |
CREATE TABLE table_204_428 (id DECIMAL, "season" TEXT, "east superleague" TEXT, "east premier league" TEXT, "east region south division" TEXT, "east region central division" TEXT, "east region north division" TEXT)
| what season was previous to the tayport participant in the east premier league ? | SELECT "season" FROM table_204_428 WHERE id = (SELECT id FROM table_204_428 WHERE "east premier league" = 'tayport') - 1 | SELECT "season" FROM "table_204_428" WHERE "id" = (SELECT "id" FROM "table_204_428" WHERE "east premier league" = 'tayport') - 1 | 0.125 |
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
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 department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
| How many courses are provided in each year? binning by year and create a line chart grouping by semester, and sort in ascending by the X-axis. | SELECT year, COUNT(*) FROM section GROUP BY semester ORDER BY year | SELECT "year", COUNT(*) FROM "section" GROUP BY "semester" ORDER BY "year" NULLS FIRST | 0.083984 |
CREATE TABLE table_203_804 (id DECIMAL, "pos" TEXT, "no" DECIMAL, "driver" TEXT, "constructor" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL)
| how many drivers participated in the race ? | SELECT COUNT("driver") FROM table_203_804 | SELECT COUNT("driver") FROM "table_203_804" | 0.041992 |
CREATE TABLE table_name_44 (draws INT, against VARCHAR, wins VARCHAR)
| Can you tell me the sum of Draws that has the Against larger than 1106, and the Wins larger than 13? | SELECT SUM(draws) FROM table_name_44 WHERE against > 1106 AND wins > 13 | SELECT SUM("draws") FROM "table_name_44" WHERE "against" > 1106 AND "wins" > 13 | 0.077148 |
CREATE TABLE table_name_26 (year INT, entrant VARCHAR)
| What is the most recent championship for FISA? | SELECT MAX(year) FROM table_name_26 WHERE entrant = "fisa" | SELECT MAX("year") FROM "table_name_26" WHERE "entrant" = "fisa" | 0.0625 |
CREATE TABLE table_41458 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the Nation with less than 1 silver, and the total is 1, and bronze is less than 0? | SELECT "Nation" FROM table_41458 WHERE "Silver" < '1' AND "Total" = '1' AND "Bronze" = '0' | SELECT "Nation" FROM "table_41458" WHERE "Bronze" = '0' AND "Silver" < '1' AND "Total" = '1' | 0.089844 |
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