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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)
| tell me the number of patients taking drug via nu route who have been diagnosed with malignant neoplasm of other sites of tongue. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Malignant neoplasm of other sites of tongue" AND prescriptions.route = "NU" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Malignant neoplasm of other sites of tongue" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "NU" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.316406 |
CREATE TABLE table_name_35 (series VARCHAR, director VARCHAR, title VARCHAR)
| From what series was Tokio Jokio, directed by Norm McCabe? | SELECT series FROM table_name_35 WHERE director = "norm mccabe" AND title = "tokio jokio" | SELECT "series" FROM "table_name_35" WHERE "director" = "norm mccabe" AND "title" = "tokio jokio" | 0.094727 |
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 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 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)
| Give the number of patients younger than 27 years whose lab test abnormal status is delta. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "27" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "27" > "demographic"."age" | 0.179688 |
CREATE TABLE table_29248 ("City" TEXT, "Population" FLOAT, "Registered voters" TEXT, "Democratic" TEXT, "Republican" TEXT, "D\\u2013R spread" TEXT, "Other" TEXT, "No party preference" TEXT)
| What is other when registered voters is 50.7%? | SELECT "Other" FROM table_29248 WHERE "Registered voters" = '50.7%' | SELECT "Other" FROM "table_29248" WHERE "Registered voters" = '50.7%' | 0.067383 |
CREATE TABLE table_1753 ("DVD Title" TEXT, "No. of Discs" FLOAT, "Year" TEXT, "No. of Episodes" FLOAT, "Region 1" TEXT, "Region 2" TEXT, "Region 4" TEXT)
| What is the largest number of episodes for a 1989 season dvd release? | SELECT MAX("No. of Episodes") FROM table_1753 WHERE "Year" = '1989' | SELECT MAX("No. of Episodes") FROM "table_1753" WHERE "Year" = '1989' | 0.067383 |
CREATE TABLE loan (cust_id VARCHAR, amount INT)
CREATE TABLE customer (cust_name VARCHAR, cust_id VARCHAR)
| Find the name of customer who has the highest amount of loans. | SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name ORDER BY SUM(T2.amount) DESC LIMIT 1 | SELECT "T1"."cust_name" FROM "customer" AS "T1" JOIN "loan" AS "T2" ON "T1"."cust_id" = "T2"."cust_id" GROUP BY "T1"."cust_name" ORDER BY SUM("T2"."amount") DESC NULLS LAST LIMIT 1 | 0.175781 |
CREATE TABLE table_19973 ("Region" FLOAT, "Group A" TEXT, "Group B" TEXT, "Group C" TEXT, "Group D" TEXT, "Group E" TEXT, "Group F" TEXT)
| Who is in group c when wisconsin is in group d? | SELECT "Group C" FROM table_19973 WHERE "Group D" = 'Wisconsin' | SELECT "Group C" FROM "table_19973" WHERE "Group D" = 'Wisconsin' | 0.063477 |
CREATE TABLE table_23982399_12 (challenger VARCHAR, winner VARCHAR)
| Who was the challenger when winner was kimio nonaga? | SELECT challenger FROM table_23982399_12 WHERE winner = "Kimio Nonaga" | SELECT "challenger" FROM "table_23982399_12" WHERE "Kimio Nonaga" = "winner" | 0.074219 |
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Posts (Q/A) and Comments per month. Plot the site activity by voting, questions, answers and comments, aggregated per month. | SELECT dd.Id AS id, dd.Body AS body, dd.date AS date FROM (SELECT p.Id AS id, p.ParentId AS parentid, c.Text AS body, c.CreationDate AS date FROM (SELECT Id, ParentId FROM Posts WHERE Tags LIKE '%iquibase%' OR Tags LIKE '%iquidbase%') AS p JOIN Comments AS c ON p.Id = c.PostId) AS dd WHERE date BETWEEN '2020/05/01' AND '2020/06/01' | SELECT "dd"."Id" AS "id", "dd"."Body" AS "body", "c"."CreationDate" AS "date" FROM "Posts" JOIN "Comments" AS "c" ON "Id" = "c"."PostId" WHERE ("Tags" LIKE '%iquibase%' OR "Tags" LIKE '%iquidbase%') AND "date" <= '2020/06/01' AND "date" >= '2020/05/01' | 0.246094 |
CREATE TABLE Timed_Locations_of_Things (thing_id INT, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Customers (customer_id INT, customer_details VARCHAR)
CREATE TABLE Residents_Services (resident_id INT, service_id INT, date_moved_in DATETIME, property_id INT, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR)
CREATE TABLE Things (thing_id INT, organization_id INT, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID INT, Customer_Event_ID INT, service_type_code CHAR, resident_id INT, property_id INT, date_moved_in DATETIME)
CREATE TABLE Properties (property_id INT, property_type_code CHAR, property_address VARCHAR, other_details VARCHAR)
CREATE TABLE Customer_Events (Customer_Event_ID INT, customer_id INT, date_moved_in DATETIME, property_id INT, resident_id INT, thing_id INT)
CREATE TABLE Timed_Status_of_Things (thing_id INT, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Residents (resident_id INT, property_id INT, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR)
CREATE TABLE Organizations (organization_id INT, parent_organization_id INT, organization_details VARCHAR)
CREATE TABLE Services (service_id INT, organization_id INT, service_type_code CHAR, service_details VARCHAR)
| Please use a bar chart to compare the number of customers of each customer's move in date, note that you should bin move in date into Year interval, and list total number in descending order. | SELECT date_moved_in, COUNT(date_moved_in) FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id ORDER BY COUNT(date_moved_in) DESC | SELECT "date_moved_in", COUNT("date_moved_in") FROM "Customers" AS "T1" JOIN "Customer_Events" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" ORDER BY COUNT("date_moved_in") DESC NULLS LAST | 0.188477 |
CREATE TABLE table_23918997_1 (title VARCHAR, directed_by VARCHAR)
| What was the title of the episode directed by Rowan Woods? | SELECT title FROM table_23918997_1 WHERE directed_by = "Rowan Woods" | SELECT "title" FROM "table_23918997_1" WHERE "Rowan Woods" = "directed_by" | 0.072266 |
CREATE TABLE table_77449 ("Game" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Dolphins' points" TEXT, "Opponents' Points" TEXT, "Record" TEXT, "Streak" TEXT, "Attendance" TEXT)
| What is the streak for game 2? | SELECT "Streak" FROM table_77449 WHERE "Game" = '2' | SELECT "Streak" FROM "table_77449" WHERE "Game" = '2' | 0.051758 |
CREATE TABLE table_name_36 (districts VARCHAR, province VARCHAR)
| Which district is in the province of Piura? | SELECT districts FROM table_name_36 WHERE province = "piura" | SELECT "districts" FROM "table_name_36" WHERE "piura" = "province" | 0.064453 |
CREATE TABLE table_29066 ("Date" TEXT, "Time" TEXT, "Visiting team" TEXT, "Home team" TEXT, "Site" TEXT, "Broadcast" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What were the results of the tennessee tech as a visiting team? | SELECT "Result" FROM table_29066 WHERE "Visiting team" = 'Tennessee Tech' | SELECT "Result" FROM "table_29066" WHERE "Visiting team" = 'Tennessee Tech' | 0.073242 |
CREATE TABLE Timed_Status_of_Things (thing_id VARCHAR, Status_of_Thing_Code VARCHAR, Date_and_Date VARCHAR)
CREATE TABLE Things (thing_id VARCHAR, Type_of_Thing_Code VARCHAR)
| What are the distinct id and type of the thing that has the status 'Close' or has a status record before the date '2017-06-19 02:59:21 | SELECT DISTINCT T2.thing_id, T2.Type_of_Thing_Code FROM Timed_Status_of_Things AS T1 JOIN Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.Status_of_Thing_Code = 'Close' OR T1.Date_and_Date < '2017-06-19 02:59:21' | SELECT DISTINCT "T2"."thing_id", "T2"."Type_of_Thing_Code" FROM "Timed_Status_of_Things" AS "T1" JOIN "Things" AS "T2" ON "T1"."thing_id" = "T2"."thing_id" WHERE "T1"."Date_and_Date" < '2017-06-19 02:59:21' OR "T1"."Status_of_Thing_Code" = 'Close' | 0.241211 |
CREATE TABLE table_name_5 (team VARCHAR, captain VARCHAR)
| On which team was Robbie Earle the captain? | SELECT team FROM table_name_5 WHERE captain = "robbie earle" | SELECT "team" FROM "table_name_5" WHERE "captain" = "robbie earle" | 0.064453 |
CREATE TABLE table_35188 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Rank" TEXT, "Wins" FLOAT)
| What team did carlos cardus drive for in 1983 when he got less than 21 points? | SELECT "Team" FROM table_35188 WHERE "Points" < '21' AND "Year" = '1983' | SELECT "Team" FROM "table_35188" WHERE "Points" < '21' AND "Year" = '1983' | 0.072266 |
CREATE TABLE table_11173 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What is the Venue with a Result of 3 0, and a Competition with 2006 fifa world cup qualifier, and with a Score of 3 0? | SELECT "Venue" FROM table_11173 WHERE "Result" = '3–0' AND "Competition" = '2006 fifa world cup qualifier' AND "Score" = '3–0' | SELECT "Venue" FROM "table_11173" WHERE "Competition" = '2006 fifa world cup qualifier' AND "Result" = '3–0' AND "Score" = '3–0' | 0.125 |
CREATE TABLE table_15887683_6 (hdtv VARCHAR, television_service VARCHAR)
| Name the hdtv for sky primafila 17 | SELECT hdtv FROM table_15887683_6 WHERE television_service = "Sky Primafila 17" | SELECT "hdtv" FROM "table_15887683_6" WHERE "Sky Primafila 17" = "television_service" | 0.083008 |
CREATE TABLE table_203_397 (id DECIMAL, "series" TEXT, "launch date" TEXT, "finale date" TEXT, "days" DECIMAL, "housemates" DECIMAL, "winner" TEXT, "main presenter" TEXT, "grand prize" TEXT, "liveshow\ audience\ millions" DECIMAL)
| which two winners of grande fratello won the most money ? | SELECT "winner" FROM table_203_397 WHERE "grand prize" = (SELECT MAX("grand prize") FROM table_203_397) | SELECT "winner" FROM "table_203_397" WHERE "grand prize" = (SELECT MAX("grand prize") FROM "table_203_397") | 0.104492 |
CREATE TABLE table_28628309_6 (player VARCHAR, totals VARCHAR)
| Who was the player when totals were 105-161? | SELECT player FROM table_28628309_6 WHERE totals = "105-161" | SELECT "player" FROM "table_28628309_6" WHERE "105-161" = "totals" | 0.064453 |
CREATE TABLE table_35856 ("Season" FLOAT, "Overall" TEXT, "Slalom" TEXT, "Giant Slalom" TEXT, "Super G" TEXT, "Combined" TEXT)
| Which combined score has an overall of 8? | SELECT "Combined" FROM table_35856 WHERE "Overall" = '8' | SELECT "Combined" FROM "table_35856" WHERE "Overall" = '8' | 0.056641 |
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| when did patient 94956 last receive a microbiology test in 06/2105? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 94956) AND STRFTIME('%y-%m', microbiologyevents.charttime) = '2105-06' ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 94956 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "microbiologyevents"."charttime") = '2105-06' ORDER BY "microbiologyevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.414063 |
CREATE TABLE table_name_25 (margin_of_victory VARCHAR, tournament VARCHAR)
| What is the margin of victory for PGA Championship? | SELECT margin_of_victory FROM table_name_25 WHERE tournament = "pga championship" | SELECT "margin_of_victory" FROM "table_name_25" WHERE "pga championship" = "tournament" | 0.084961 |
CREATE TABLE table_name_86 (points VARCHAR, points_for VARCHAR)
| when points for was points for what was the points? | SELECT points FROM table_name_86 WHERE points_for = "points for" | SELECT "points" FROM "table_name_86" WHERE "points for" = "points_for" | 0.068359 |
CREATE TABLE competition (Competition_type VARCHAR)
| List the types of competition that have at most five competitions of that type. | SELECT Competition_type FROM competition GROUP BY Competition_type HAVING COUNT(*) <= 5 | SELECT "Competition_type" FROM "competition" GROUP BY "Competition_type" HAVING COUNT(*) <= 5 | 0.09082 |
CREATE TABLE table_55618 ("Network" TEXT, "8:00 PM" TEXT, "8:30 PM" TEXT, "9:00 PM" TEXT, "9:30 PM" TEXT, "10:00 PM" TEXT)
| Name the 10:00pm when 8:0pm is my thursday night movie | SELECT "10:00 PM" FROM table_55618 WHERE "8:00 PM" = 'my thursday night movie' | SELECT "10:00 PM" FROM "table_55618" WHERE "8:00 PM" = 'my thursday night movie' | 0.078125 |
CREATE TABLE table_79644 ("Year" FLOAT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To Par" TEXT, "Margin" FLOAT, "Earnings ( $ ) " FLOAT)
| What is canada's margin? | SELECT SUM("Margin") FROM table_79644 WHERE "Country" = 'canada' | SELECT SUM("Margin") FROM "table_79644" WHERE "Country" = 'canada' | 0.064453 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
| Top 500 Indian Rank by Reputation. | SELECT Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%India%' ORDER BY Reputation DESC LIMIT 5000000 | SELECT "Id", "DisplayName", "Reputation", "WebsiteUrl", "Location" FROM "Users" WHERE "Location" LIKE '%India%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 5000000 | 0.15918 |
CREATE TABLE table_63232 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "County" FLOAT, "Enrollment" TEXT, "IHSAA Class" TEXT, "Year Joined" FLOAT, "Previous Conference" TEXT)
| What is the IHSAA class of the county that is less than 228? | SELECT "IHSAA Class" FROM table_63232 WHERE "County" < '228' | SELECT "IHSAA Class" FROM "table_63232" WHERE "County" < '228' | 0.060547 |
CREATE TABLE table_name_96 (hmos VARCHAR, conventional_plans VARCHAR, year VARCHAR)
| Which HMO has a conventional plan of 3% in 2005? | SELECT hmos FROM table_name_96 WHERE conventional_plans = "3%" AND year = 2005 | SELECT "hmos" FROM "table_name_96" WHERE "3%" = "conventional_plans" AND "year" = 2005 | 0.083984 |
CREATE TABLE table_32850 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Stadium" TEXT, "Record" TEXT, "Attendance" FLOAT)
| What was the total attendance in week 8? | SELECT COUNT("Attendance") FROM table_32850 WHERE "Week" = '8' | SELECT COUNT("Attendance") FROM "table_32850" WHERE "Week" = '8' | 0.0625 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients were transferred within this facilty? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.135742 |
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 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| what was the first height of patient 022-199074 since 12/2104. | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-199074') AND NOT patient.admissionheight IS NULL AND STRFTIME('%y-%m', patient.unitadmittime) >= '2104-12' ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-199074' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionheight" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."admissionheight" IS NULL AND STRFTIME('%y-%m', "patient"."unitadmittime") >= '2104-12' ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1 | 0.463867 |
CREATE TABLE table_name_30 (place INT, machine VARCHAR, speed VARCHAR)
| How many places have yamaha as the machine, and 89.85mph as the speed? | SELECT SUM(place) FROM table_name_30 WHERE machine = "yamaha" AND speed = "89.85mph" | SELECT SUM("place") FROM "table_name_30" WHERE "89.85mph" = "speed" AND "machine" = "yamaha" | 0.089844 |
CREATE TABLE table_name_23 (race_name VARCHAR, winning_driver VARCHAR, circuit VARCHAR)
| What is the name of race that has a winning driver of Stirling moss and a Circuit of oulton park? | SELECT race_name FROM table_name_23 WHERE winning_driver = "stirling moss" AND circuit = "oulton park" | SELECT "race_name" FROM "table_name_23" WHERE "circuit" = "oulton park" AND "stirling moss" = "winning_driver" | 0.107422 |
CREATE TABLE table_name_50 (race_name VARCHAR, circuit VARCHAR)
| What is the name of the race that has the pergusa Circuit? | SELECT race_name FROM table_name_50 WHERE circuit = "pergusa" | SELECT "race_name" FROM "table_name_50" WHERE "circuit" = "pergusa" | 0.06543 |
CREATE TABLE table_204_111 (id DECIMAL, "name" TEXT, "animal type" TEXT, "introduced" DECIMAL, "reintroduced" TEXT, "retired" DECIMAL, "beanie baby resembled" TEXT)
| in what year were the first pillow pals introduced ? | SELECT MIN("introduced") FROM table_204_111 | SELECT MIN("introduced") FROM "table_204_111" | 0.043945 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Give me the comparison about ACC_Percent over the Team_Name by a bar chart, could you display by the ACC_Percent in desc? | SELECT Team_Name, ACC_Percent FROM basketball_match ORDER BY ACC_Percent DESC | SELECT "Team_Name", "ACC_Percent" FROM "basketball_match" ORDER BY "ACC_Percent" DESC NULLS LAST | 0.09375 |
CREATE TABLE table_46675 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What was the average rank for south africa when they had more than 8 silver medals? | SELECT AVG("Rank") FROM table_46675 WHERE "Nation" = 'south africa' AND "Silver" > '8' | SELECT AVG("Rank") FROM "table_46675" WHERE "Nation" = 'south africa' AND "Silver" > '8' | 0.085938 |
CREATE TABLE table_name_64 (pos VARCHAR, name VARCHAR)
| What is Eftychia Karagianni Pos.? | SELECT pos FROM table_name_64 WHERE name = "eftychia karagianni" | SELECT "pos" FROM "table_name_64" WHERE "eftychia karagianni" = "name" | 0.068359 |
CREATE TABLE table_61442 ("S.no." FLOAT, "Power Plant" TEXT, "State" TEXT, "Total Capacity ( MW ) " FLOAT, "Completion Schedule" TEXT)
| For the 2013 completion schedule, what is the total S.no.? | SELECT SUM("S.no.") FROM table_61442 WHERE "Completion Schedule" = '2013' | SELECT SUM("S.no.") FROM "table_61442" WHERE "Completion Schedule" = '2013' | 0.073242 |
CREATE TABLE table_name_59 (score VARCHAR, attendance VARCHAR)
| What is the score of the game that had 359 people in attendance? | SELECT score FROM table_name_59 WHERE attendance = "359" | SELECT "score" FROM "table_name_59" WHERE "359" = "attendance" | 0.060547 |
CREATE TABLE table_78242 ("Model" TEXT, "Build year" TEXT, "Total produced" FLOAT, "Wheel arrangement" TEXT, "Prime mover" TEXT, "Power output" TEXT)
| Which is the smallest Total produced with a model of FM H-15-44? | SELECT MIN("Total produced") FROM table_78242 WHERE "Model" = 'fm h-15-44' | SELECT MIN("Total produced") FROM "table_78242" WHERE "Model" = 'fm h-15-44' | 0.074219 |
CREATE TABLE table_name_88 (winner VARCHAR, year VARCHAR, result VARCHAR)
| Who won the 2012 game that had a score of 15 0? | SELECT winner FROM table_name_88 WHERE year = 2012 AND result = "15–0" | SELECT "winner" FROM "table_name_88" WHERE "15–0" = "result" AND "year" = 2012 | 0.076172 |
CREATE TABLE table_58493 ("Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What was Andorra's total with less than 10 silver and more than 5 bronze? | SELECT SUM("Total") FROM table_58493 WHERE "Silver" < '10' AND "Nation" = 'andorra' AND "Bronze" > '5' | SELECT SUM("Total") FROM "table_58493" WHERE "Bronze" > '5' AND "Nation" = 'andorra' AND "Silver" < '10' | 0.101563 |
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
| Draw a bar chart about the distribution of Name and Weight , display Y in ascending order. | SELECT Name, Weight FROM people ORDER BY Weight | SELECT "Name", "Weight" FROM "people" ORDER BY "Weight" NULLS FIRST | 0.06543 |
CREATE TABLE table_15570 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the lowest value for Events, when the value for Top-5 is greater than 1? | SELECT MIN("Events") FROM table_15570 WHERE "Top-5" > '1' | SELECT MIN("Events") FROM "table_15570" WHERE "Top-5" > '1' | 0.057617 |
CREATE TABLE table_30829 ("DrumSet Name" TEXT, "Product Line" TEXT, "Years Available" TEXT, "Drum Module" TEXT, "KickDrum Pad" TEXT, "Snare Pad" TEXT, "Tom-Tom Pads" TEXT, "Hi-HatPad/ Controller" TEXT, "CrashandRide CymbalPads" TEXT, "DrumStand ( oftenoptional ) " TEXT)
| in the drum module td-5 what are the tom-tom pads | SELECT "Tom-Tom Pads" FROM table_30829 WHERE "Drum Module" = 'TD-5' | SELECT "Tom-Tom Pads" FROM "table_30829" WHERE "Drum Module" = 'TD-5' | 0.067383 |
CREATE TABLE table_6686 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
| What is the overall of the player with a pick # higher than 13? | SELECT "Overall" FROM table_6686 WHERE "Pick #" < '13' | SELECT "Overall" FROM "table_6686" WHERE "Pick #" < '13' | 0.054688 |
CREATE TABLE table_994 ("Variant id" TEXT, "5pars_m_singleUTR splice" TEXT, "Coding" TEXT, "3pars_m_singleUTR sequence" TEXT, "GenBank id" TEXT)
| What is the 3utr sequence when the genbank id is hq021437? | SELECT "3\u2019UTR sequence" FROM table_994 WHERE "GenBank id" = 'HQ021437' | SELECT "3\u2019UTR sequence" FROM "table_994" WHERE "GenBank id" = 'HQ021437' | 0.075195 |
CREATE TABLE table_52432 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| When the home team was South Melbourne, what did the away team score? | SELECT "Away team score" FROM table_52432 WHERE "Home team" = 'south melbourne' | SELECT "Away team score" FROM "table_52432" WHERE "Home team" = 'south melbourne' | 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| provide the number of male patients whose drug code is mido5. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.formulary_drug_cd = "MIDO5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MIDO5" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "M" = "demographic"."gender" | 0.223633 |
CREATE TABLE table_50328 ("Season" TEXT, "North" TEXT, "South" TEXT, "East" TEXT, "West" TEXT)
| What was west when ev f rstenfeldbruck was south? | SELECT "West" FROM table_50328 WHERE "South" = 'ev fürstenfeldbruck' | SELECT "West" FROM "table_50328" WHERE "South" = 'ev fürstenfeldbruck' | 0.068359 |
CREATE TABLE table_test_23 ("id" INT, "previous_mi" BOOLEAN, "anemia" BOOLEAN, "left_ventricular_ejection_fraction_lvef" INT, "tolerate_gadolinium_contrast_media" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" INT, "tolerate_magnetic_resonance_imaging" BOOLEAN, "chronic_inflammatory_disease" BOOLEAN, "platelet_count" FLOAT, "thrombocytopenia" FLOAT, "liver_disease" BOOLEAN, "evidence_of_hepatobiliary_disease" BOOLEAN, "kidney_disease" BOOLEAN, "hb" FLOAT, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| chronic inflammatory disease | SELECT * FROM table_test_23 WHERE chronic_inflammatory_disease = 1 | SELECT * FROM "table_test_23" WHERE "chronic_inflammatory_disease" = 1 | 0.068359 |
CREATE TABLE table_name_83 (time VARCHAR, rider VARCHAR, manufacturer VARCHAR, laps VARCHAR, grid VARCHAR)
| Name the Time which has Laps of 19, and a Grid larger than 19, and a Manufacturer of ktm, and a Rider of randy krummenacher? | SELECT time FROM table_name_83 WHERE laps = 19 AND grid > 19 AND manufacturer = "ktm" AND rider = "randy krummenacher" | SELECT "time" FROM "table_name_83" WHERE "grid" > 19 AND "ktm" = "manufacturer" AND "laps" = 19 AND "randy krummenacher" = "rider" | 0.126953 |
CREATE TABLE table_18365784_3 (departure VARCHAR, going_to VARCHAR)
| What was the departure time of the train going to Boston? | SELECT departure FROM table_18365784_3 WHERE going_to = "Boston" | SELECT "departure" FROM "table_18365784_3" WHERE "Boston" = "going_to" | 0.068359 |
CREATE TABLE table_54397 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| What team did the Red Sox play against on June 3? | SELECT "Opponent" FROM table_54397 WHERE "Date" = 'june 3' | SELECT "Opponent" FROM "table_54397" WHERE "Date" = 'june 3' | 0.058594 |
CREATE TABLE table_name_37 (surface VARCHAR, opponent_in_the_final VARCHAR)
| What is the surface of the tournament with c dric pioline as the opponent in the final? | SELECT surface FROM table_name_37 WHERE opponent_in_the_final = "cédric pioline" | SELECT "surface" FROM "table_name_37" WHERE "cédric pioline" = "opponent_in_the_final" | 0.083984 |
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 d_icd_diagnoses (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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_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 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| how many patients until 2100 had received a spinal struct repair nec procedure? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'spinal struct repair nec') AND STRFTIME('%y', procedures_icd.charttime) <= '2100') | WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'spinal struct repair nec' WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2100' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.456055 |
CREATE TABLE table_2818164_4 (no_in_series INT, directed_by VARCHAR, original_air_date VARCHAR)
| What is the series number for the episode directed by jay sandrich that aired October 23, 1986? | SELECT MIN(no_in_series) FROM table_2818164_4 WHERE directed_by = "Jay Sandrich" AND original_air_date = "October 23, 1986" | SELECT MIN("no_in_series") FROM "table_2818164_4" WHERE "Jay Sandrich" = "directed_by" AND "October 23, 1986" = "original_air_date" | 0.12793 |
CREATE TABLE table_53920 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Who drive 74 laps in a grid larger than 9? | SELECT "Driver" FROM table_53920 WHERE "Laps" = '74' AND "Grid" > '9' | SELECT "Driver" FROM "table_53920" WHERE "Grid" > '9' AND "Laps" = '74' | 0.069336 |
CREATE TABLE table_test_12 ("id" INT, "serum_potassium" FLOAT, "left_ventricular_ejection_fraction_lvef" INT, "systolic_blood_pressure_sbp" INT, "haemoglobin" FLOAT, "consent" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "renal_disease" BOOLEAN, "anaemia" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" INT, "symptomatic_hypotension" BOOLEAN, "kidney_disease" BOOLEAN, "NOUSE" FLOAT)
| known chronic heart failure with lv ejection fraction <= 45 % before the acute index event | SELECT * FROM table_test_12 WHERE heart_disease = 1 AND left_ventricular_ejection_fraction_lvef <= 45 | SELECT * FROM "table_test_12" WHERE "heart_disease" = 1 AND "left_ventricular_ejection_fraction_lvef" <= 45 | 0.104492 |
CREATE TABLE table_name_82 (pick INT, team VARCHAR)
| What was the average pick made by the Texas Rangers? | SELECT AVG(pick) FROM table_name_82 WHERE team = "texas rangers" | SELECT AVG("pick") FROM "table_name_82" WHERE "team" = "texas rangers" | 0.068359 |
CREATE TABLE table_204_35 (id DECIMAL, "season" TEXT, "tier" DECIMAL, "division" TEXT, "place" TEXT)
| how many times has the team been in the preferente division since 1990 ? | SELECT COUNT(*) FROM table_204_35 WHERE "division" = 'preferente' AND "season" >= 1990 | SELECT COUNT(*) FROM "table_204_35" WHERE "division" = 'preferente' AND "season" >= 1990 | 0.085938 |
CREATE TABLE table_32565 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What Away team is visiting Carlton? | SELECT "Away team" FROM table_32565 WHERE "Home team" = 'carlton' | SELECT "Away team" FROM "table_32565" WHERE "Home team" = 'carlton' | 0.06543 |
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
| A bar chart shows the distribution of meter_400 and ID , and order by the total number from high to low. | SELECT meter_400, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_400", "ID" FROM "swimmer" ORDER BY "ID" DESC NULLS LAST | 0.067383 |
CREATE TABLE table_15177 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Name the least total when bronze is less than 2 and rank is more than 2 with silver less than 1 | SELECT MIN("Total") FROM table_15177 WHERE "Bronze" < '2' AND "Rank" > '2' AND "Silver" < '1' | SELECT MIN("Total") FROM "table_15177" WHERE "Bronze" < '2' AND "Rank" > '2' AND "Silver" < '1' | 0.092773 |
CREATE TABLE table_23286112_6 (date VARCHAR, game VARCHAR)
| When was the game number 3 played? | SELECT date FROM table_23286112_6 WHERE game = 3 | SELECT "date" FROM "table_23286112_6" WHERE "game" = 3 | 0.052734 |
CREATE TABLE table_name_3 (nationality VARCHAR, lane INT)
| What nationality is the swimmer that is in the lane that is less than 2? | SELECT nationality FROM table_name_3 WHERE lane < 2 | SELECT "nationality" FROM "table_name_3" WHERE "lane" < 2 | 0.055664 |
CREATE TABLE table_name_65 (conceded INT, played VARCHAR, points VARCHAR, position VARCHAR)
| What is the average number conceded for hte team that had less than 19 points, played more than 18 games and had a position less than 10? | SELECT AVG(conceded) FROM table_name_65 WHERE points < 19 AND position < 10 AND played > 18 | SELECT AVG("conceded") FROM "table_name_65" WHERE "played" > 18 AND "points" < 19 AND "position" < 10 | 0.098633 |
CREATE TABLE table_4933 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is the venue where Collingwood played as the away team? | SELECT "Venue" FROM table_4933 WHERE "Away team" = 'collingwood' | SELECT "Venue" FROM "table_4933" WHERE "Away team" = 'collingwood' | 0.064453 |
CREATE TABLE table_1520559_1 (venue VARCHAR, champion VARCHAR)
| At what venues did Lorena Ochoa win the championship? | SELECT venue FROM table_1520559_1 WHERE champion = "Lorena Ochoa" | SELECT "venue" FROM "table_1520559_1" WHERE "Lorena Ochoa" = "champion" | 0.069336 |
CREATE TABLE flight (velocity INT)
| How many flights have a velocity larger than 200? | SELECT COUNT(*) FROM flight WHERE velocity > 200 | SELECT COUNT(*) FROM "flight" WHERE "velocity" > 200 | 0.050781 |
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 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)
| what number of patients admitted before the year 2200 had procedure under procedure icd9 code 3612? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2200" AND procedures.icd9_code = "3612" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3612" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2200" > "demographic"."admityear" | 0.211914 |
CREATE TABLE table_name_50 (position VARCHAR, name VARCHAR)
| What is the position of Allen Gamboa? | SELECT position FROM table_name_50 WHERE name = "allen gamboa" | SELECT "position" FROM "table_name_50" WHERE "allen gamboa" = "name" | 0.066406 |
CREATE TABLE event (Event_ID INT, Date TEXT, Venue TEXT, Name TEXT, Event_Attendance INT)
CREATE TABLE journalist (journalist_ID INT, Name TEXT, Nationality TEXT, Age TEXT, Years_working INT)
CREATE TABLE news_report (journalist_ID INT, Event_ID INT, Work_Type TEXT)
| Bar graph to show the number of nationality from different nationality, and rank from low to high by the Y. | SELECT Nationality, COUNT(Nationality) FROM journalist GROUP BY Nationality ORDER BY COUNT(Nationality) | SELECT "Nationality", COUNT("Nationality") FROM "journalist" GROUP BY "Nationality" ORDER BY COUNT("Nationality") NULLS FIRST | 0.12207 |
CREATE TABLE table_7305 ("Place" FLOAT, "Team" TEXT, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
| What is the highest games Played where the Place is 10 and Points are less than 17? | SELECT MAX("Played") FROM table_7305 WHERE "Place" = '10' AND "Points" < '17' | SELECT MAX("Played") FROM "table_7305" WHERE "Place" = '10' AND "Points" < '17' | 0.077148 |
CREATE TABLE hall_of_fame (player_id TEXT, yearid INT, votedby TEXT, ballots DECIMAL, needed DECIMAL, votes DECIMAL, inducted TEXT, category TEXT, needed_note TEXT)
CREATE TABLE team_half (year INT, league_id TEXT, team_id TEXT, half INT, div_id TEXT, div_win TEXT, rank INT, g INT, w INT, l INT)
CREATE TABLE player (player_id TEXT, birth_year DECIMAL, birth_month DECIMAL, birth_day DECIMAL, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year DECIMAL, death_month DECIMAL, death_day DECIMAL, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight DECIMAL, height DECIMAL, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT)
CREATE TABLE player_college (player_id TEXT, college_id TEXT, year INT)
CREATE TABLE fielding (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po DECIMAL, a DECIMAL, e DECIMAL, dp DECIMAL, pb DECIMAL, wp DECIMAL, sb DECIMAL, cs DECIMAL, zr DECIMAL)
CREATE TABLE home_game (year INT, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INT, openings INT, attendance INT)
CREATE TABLE fielding_outfield (player_id TEXT, year INT, stint INT, glf DECIMAL, gcf DECIMAL, grf DECIMAL)
CREATE TABLE manager_half (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, half INT, g INT, w INT, l INT, rank INT)
CREATE TABLE all_star (player_id TEXT, year INT, game_num INT, game_id TEXT, team_id TEXT, league_id TEXT, gp DECIMAL, starting_pos DECIMAL)
CREATE TABLE pitching (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts DECIMAL, h INT, er INT, hr INT, bb INT, so INT, baopp DECIMAL, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk INT, bfp DECIMAL, gf DECIMAL, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE park (park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE player_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max INT, votes_first DECIMAL)
CREATE TABLE player_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes TEXT)
CREATE TABLE team_franchise (franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT)
CREATE TABLE manager_award (player_id TEXT, award_id TEXT, year INT, league_id TEXT, tie TEXT, notes DECIMAL)
CREATE TABLE salary (year INT, team_id TEXT, league_id TEXT, player_id TEXT, salary INT)
CREATE TABLE fielding_postseason (player_id TEXT, year INT, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INT, gs DECIMAL, inn_outs DECIMAL, po INT, a INT, e INT, dp INT, tp INT, pb DECIMAL, sb DECIMAL, cs DECIMAL)
CREATE TABLE college (college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT)
CREATE TABLE batting (player_id TEXT, year INT, stint INT, team_id TEXT, league_id TEXT, g INT, ab DECIMAL, r DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, rbi DECIMAL, sb DECIMAL, cs DECIMAL, bb DECIMAL, so DECIMAL, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE pitching_postseason (player_id TEXT, year INT, round TEXT, team_id TEXT, league_id TEXT, w INT, l INT, g INT, gs INT, cg INT, sho INT, sv INT, ipouts INT, h INT, er INT, hr INT, bb INT, so INT, baopp TEXT, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk DECIMAL, bfp DECIMAL, gf INT, r INT, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE team (year INT, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INT, g INT, ghome DECIMAL, w INT, l INT, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INT, ab INT, h INT, double INT, triple INT, hr INT, bb INT, so DECIMAL, sb DECIMAL, cs DECIMAL, hbp DECIMAL, sf DECIMAL, ra INT, er INT, era DECIMAL, cg INT, sho INT, sv INT, ipouts INT, ha INT, hra INT, bba INT, soa INT, e INT, dp DECIMAL, fp DECIMAL, name TEXT, park TEXT, attendance DECIMAL, bpf INT, ppf INT, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT)
CREATE TABLE batting_postseason (year INT, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INT, ab INT, r INT, h INT, double INT, triple INT, hr INT, rbi INT, sb INT, cs DECIMAL, bb INT, so INT, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL)
CREATE TABLE appearances (year INT, team_id TEXT, league_id TEXT, player_id TEXT, g_all DECIMAL, gs DECIMAL, g_batting INT, g_defense DECIMAL, g_p INT, g_c INT, g_1b INT, g_2b INT, g_3b INT, g_ss INT, g_lf INT, g_cf INT, g_rf INT, g_of INT, g_dh DECIMAL, g_ph DECIMAL, g_pr DECIMAL)
CREATE TABLE manager_award_vote (award_id TEXT, year INT, league_id TEXT, player_id TEXT, points_won INT, points_max INT, votes_first INT)
CREATE TABLE manager (player_id TEXT, year INT, team_id TEXT, league_id TEXT, inseason INT, g INT, w INT, l INT, rank DECIMAL, plyr_mgr TEXT)
CREATE TABLE postseason (year INT, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INT, losses INT, ties INT)
| For each year, return the year and the average number of attendance at home games, and list in asc by the x-axis. | SELECT year, AVG(attendance) FROM home_game GROUP BY year ORDER BY year | SELECT "year", AVG("attendance") FROM "home_game" GROUP BY "year" ORDER BY "year" NULLS FIRST | 0.09082 |
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
| What is the code of the course which the student whose last name is Smithson took? | SELECT T1.crs_code FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T3.stu_num = T2.stu_num WHERE T3.stu_lname = 'Smithson' | SELECT "T1"."crs_code" FROM "class" AS "T1" JOIN "enroll" AS "T2" ON "T1"."class_code" = "T2"."class_code" JOIN "student" AS "T3" ON "T2"."stu_num" = "T3"."stu_num" AND "T3"."stu_lname" = 'Smithson' | 0.193359 |
CREATE TABLE table_name_19 (team_1 VARCHAR)
| What is the first leg of team 1 for Hardware stars? | SELECT 1 AS st_leg FROM table_name_19 WHERE team_1 = "hardware stars" | SELECT 1 AS "st_leg" FROM "table_name_19" WHERE "hardware stars" = "team_1" | 0.073242 |
CREATE TABLE table_name_56 (score VARCHAR, tie_no VARCHAR)
| Which Score has a Tie no of 33? | SELECT score FROM table_name_56 WHERE tie_no = "33" | SELECT "score" FROM "table_name_56" WHERE "33" = "tie_no" | 0.055664 |
CREATE TABLE table_65832 ("Country" TEXT, "TV Network ( s ) " TEXT, "Series Premiere" TEXT, "Weekly Schedule" TEXT, "Status" TEXT)
| Which TV network was located in Brazil? | SELECT "TV Network(s)" FROM table_65832 WHERE "Country" = 'brazil' | SELECT "TV Network(s)" FROM "table_65832" WHERE "Country" = 'brazil' | 0.066406 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Draw a bar chart about the distribution of All_Road and ACC_Percent , I want to list total number in ascending order please. | SELECT All_Road, ACC_Percent FROM basketball_match ORDER BY ACC_Percent | SELECT "All_Road", "ACC_Percent" FROM "basketball_match" ORDER BY "ACC_Percent" NULLS FIRST | 0.088867 |
CREATE TABLE mountain (mountain_id DECIMAL, name TEXT, height DECIMAL, prominence DECIMAL, range TEXT, country TEXT)
CREATE TABLE climber (climber_id DECIMAL, name TEXT, country TEXT, time TEXT, points DECIMAL, mountain_id DECIMAL)
| What are the countries that have both mountains that are higher than 5600 and lower than 5200? | SELECT country FROM mountain WHERE height > 5600 INTERSECT SELECT country FROM mountain WHERE height < 5200 | SELECT "country" FROM "mountain" WHERE "height" > 5600 INTERSECT SELECT "country" FROM "mountain" WHERE "height" < 5200 | 0.116211 |
CREATE TABLE Rating (mID VARCHAR, rID VARCHAR)
CREATE TABLE Reviewer (name VARCHAR, rID VARCHAR)
CREATE TABLE Movie (mID VARCHAR, title VARCHAR)
| Find the names of all reviewers who rated Gone with the Wind. | SELECT DISTINCT T3.name FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T2.title = 'Gone with the Wind' | SELECT DISTINCT "T3"."name" FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" AND "T2"."title" = 'Gone with the Wind' JOIN "Reviewer" AS "T3" ON "T1"."rID" = "T3"."rID" | 0.183594 |
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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)
| count the number of patients whose diagnoses long title is personal history of transient ischemic attack (tia), and cerebral infarction without residual deficits? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Personal history of transient ischemic attack (TIA), and cerebral infarction without residual deficits" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Personal history of transient ischemic attack (TIA), and cerebral infarction without residual deficits" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.265625 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is drug type and drug route of drug code pheny100l? | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "PHENY100L" | SELECT "prescriptions"."drug_type", "prescriptions"."route" FROM "prescriptions" WHERE "PHENY100L" = "prescriptions"."formulary_drug_cd" | 0.132813 |
CREATE TABLE table_40679 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many golds had a silver of more than 1, rank more than 1, total of more than 4 when the bronze was also more than 4? | SELECT SUM("Gold") FROM table_40679 WHERE "Silver" > '1' AND "Rank" > '1' AND "Total" > '4' AND "Bronze" > '4' | SELECT SUM("Gold") FROM "table_40679" WHERE "Bronze" > '4' AND "Rank" > '1' AND "Silver" > '1' AND "Total" > '4' | 0.109375 |
CREATE TABLE table_name_66 (rank VARCHAR, event VARCHAR)
| What is Rank, when Event is 'LAPT4 S o Paulo'? | SELECT rank FROM table_name_66 WHERE event = "lapt4 são paulo" | SELECT "rank" FROM "table_name_66" WHERE "event" = "lapt4 são paulo" | 0.066406 |
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id 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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student (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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
| For exams , does Prof. Firas Shalabi always set one ? | 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.has_exams = 'N' AND instructor.name LIKE '%Firas Shalabi%' | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Firas Shalabi%' WHERE "course"."has_exams" = 'N' | 0.373047 |
CREATE TABLE table_55630 ("Year" FLOAT, "Network" TEXT, "Play-by-play" TEXT, "Colour commentator ( s ) " TEXT, "Studio host" TEXT)
| Who was the colour commentator when the play-by-play announcer was Bob Cole? | SELECT "Colour commentator(s)" FROM table_55630 WHERE "Play-by-play" = 'bob cole' | SELECT "Colour commentator(s)" FROM "table_55630" WHERE "Play-by-play" = 'bob cole' | 0.081055 |
CREATE TABLE table_62166 ("Party" TEXT, "Name in English" TEXT, "City" TEXT, "Province" TEXT, "Date of registration" TEXT)
| Which province is Pamplona located in? | SELECT "Province" FROM table_62166 WHERE "City" = 'pamplona' | SELECT "Province" FROM "table_62166" WHERE "City" = 'pamplona' | 0.060547 |
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 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)
| what is the number of patients whose death status is 1 and procedure short title is cath base invasv ep test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "1" AND procedures.short_title = "Cath base invasv ep test" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Cath base invasv ep test" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.232422 |
CREATE TABLE table_name_97 (platform___os VARCHAR, name VARCHAR)
| Which Platform / OS has a Name of altova umodel? | SELECT platform___os FROM table_name_97 WHERE name = "altova umodel" | SELECT "platform___os" FROM "table_name_97" WHERE "altova umodel" = "name" | 0.072266 |
CREATE TABLE table_name_2 (rd__number INT, player VARCHAR, pick__number VARCHAR)
| What's the average Rd number for dane jackson with a pick number over 44? | SELECT AVG(rd__number) FROM table_name_2 WHERE player = "dane jackson" AND pick__number > 44 | SELECT AVG("rd__number") FROM "table_name_2" WHERE "dane jackson" = "player" AND "pick__number" > 44 | 0.097656 |
CREATE TABLE table_name_9 (home_team VARCHAR)
| What was Geelong's score when they were the home team? | SELECT home_team AS score FROM table_name_9 WHERE home_team = "geelong" | SELECT "home_team" AS "score" FROM "table_name_9" WHERE "geelong" = "home_team" | 0.077148 |
CREATE TABLE table_name_61 (format VARCHAR, catalog VARCHAR)
| What shows as the format for catalog 11 135? | SELECT format FROM table_name_61 WHERE catalog = "11 135" | SELECT "format" FROM "table_name_61" WHERE "11 135" = "catalog" | 0.061523 |
CREATE TABLE table_name_88 (length VARCHAR, track VARCHAR)
| What is the lengtho f track 16? | SELECT length FROM table_name_88 WHERE track = "16" | SELECT "length" FROM "table_name_88" WHERE "16" = "track" | 0.055664 |
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
| what flights from HOUSTON to MILWAUKEE on friday in the evening on AA | 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 = 'MILWAUKEE' AND date_day.day_number = 25 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.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 = 'HOUSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 1800 AND 2200) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 25 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'HOUSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."airline_code" = 'AA' AND "flight"."departure_time" <= 2200 AND "flight"."departure_time" >= 1800 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" = 'MILWAUKEE' | 0.81543 |
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