schema stringlengths 28 5.65k | question stringlengths 0 990 | rejected stringlengths 2 4.44k | chosen stringlengths 4 9.17k | weight float64 0 8.95 |
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CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, O... | Question with the most answers. | SELECT Id AS "post_link", AnswerCount FROM Posts WHERE PostTypeId = 1 AND AnswerCount > 10 ORDER BY AnswerCount DESC | SELECT "Id" AS "post_link", "AnswerCount" FROM "Posts" WHERE "AnswerCount" > 10 AND "PostTypeId" = 1 ORDER BY "AnswerCount" DESC NULLS LAST | 0.135742 |
CREATE TABLE table_name_2 (seasons VARCHAR, coach VARCHAR)
| How many seasons did Pat Chambers coach? | SELECT COUNT(seasons) FROM table_name_2 WHERE coach = "pat chambers" | SELECT COUNT("seasons") FROM "table_name_2" WHERE "coach" = "pat chambers" | 0.072266 |
CREATE TABLE table_34261 ("Rank" FLOAT, "Player" TEXT, "Country" TEXT, "Earnings ( $ ) " FLOAT, "Wins" FLOAT)
| What was the highest rank for greg norman with Earnings less than $10,484,065? | SELECT MAX("Rank") FROM table_34261 WHERE "Player" = 'greg norman' AND "Earnings ( $ )" < '10,484,065' | SELECT MAX("Rank") FROM "table_34261" WHERE "Earnings ( $ )" < '10,484,065' AND "Player" = 'greg norman' | 0.101563 |
CREATE TABLE table_52746 ("Date" TEXT, "Visiting Team" TEXT, "Final Score" TEXT, "Host Team" TEXT, "Stadium" TEXT)
| What was the final score in the game against the Cincinnati Bengals? | SELECT "Final Score" FROM table_52746 WHERE "Visiting Team" = 'cincinnati bengals' | SELECT "Final Score" FROM "table_52746" WHERE "Visiting Team" = 'cincinnati bengals' | 0.082031 |
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
| Give me a pie to show minimal enr from different state. | SELECT state, MIN(enr) FROM College GROUP BY state | SELECT "state", MIN("enr") FROM "College" GROUP BY "state" | 0.056641 |
CREATE TABLE table_name_63 (game INT, team VARCHAR)
| What was the number of the game against Charlotte? | SELECT SUM(game) FROM table_name_63 WHERE team = "charlotte" | SELECT SUM("game") FROM "table_name_63" WHERE "charlotte" = "team" | 0.064453 |
CREATE TABLE table_863 ("Season" FLOAT, "Winner" TEXT, "BYU-UU score" TEXT, "BYU-USU score" TEXT, "UU-USU score" TEXT)
| what's the byu-uu score with uu-usu score being 44 16 | SELECT "BYU-UU score" FROM table_863 WHERE "UU-USU score" = '44–16' | SELECT "BYU-UU score" FROM "table_863" WHERE "UU-USU score" = '44–16' | 0.067383 |
CREATE TABLE table_26882866_1 (points INT, standing VARCHAR)
| Name the leaast points for standing 5th | SELECT MIN(points) FROM table_26882866_1 WHERE standing = "5th" | SELECT MIN("points") FROM "table_26882866_1" WHERE "5th" = "standing" | 0.067383 |
CREATE TABLE table_name_55 (launched VARCHAR, name VARCHAR)
| What is the launch date for the Ushio dd-54? | SELECT launched FROM table_name_55 WHERE name = "ushio dd-54" | SELECT "launched" FROM "table_name_55" WHERE "name" = "ushio dd-54" | 0.06543 |
CREATE TABLE table_name_62 (rank_by_average INT, competition_finish VARCHAR, number_of_dances VARCHAR)
| Name the least rank by average for number of dances less than 9 and competition finish of 5 | SELECT MIN(rank_by_average) FROM table_name_62 WHERE competition_finish = 5 AND number_of_dances < 9 | SELECT MIN("rank_by_average") FROM "table_name_62" WHERE "competition_finish" = 5 AND "number_of_dances" < 9 | 0.105469 |
CREATE TABLE table_4608 ("Team" TEXT, "Chassis" TEXT, "Engine" TEXT, "Tires" TEXT, "Drivers" TEXT)
| What tires did BFM Enterprises run on their Offy engine and manta chassis? | SELECT "Tires" FROM table_4608 WHERE "Engine" = 'offy' AND "Chassis" = 'manta' AND "Team" = 'bfm enterprises' | SELECT "Tires" FROM "table_4608" WHERE "Chassis" = 'manta' AND "Engine" = 'offy' AND "Team" = 'bfm enterprises' | 0.108398 |
CREATE TABLE team (team_id DECIMAL, name TEXT)
CREATE TABLE country (country_id DECIMAL, country_name TEXT, capital TEXT, official_native_language TEXT)
CREATE TABLE match_season (season DECIMAL, player TEXT, position TEXT, country DECIMAL, team DECIMAL, draft_pick_number DECIMAL, draft_class TEXT, college TEXT)
CREATE... | What are the names of colleges that have two or more players, listed in descending alphabetical order? | SELECT college FROM match_season GROUP BY college HAVING COUNT(*) >= 2 ORDER BY college DESC | SELECT "college" FROM "match_season" GROUP BY "college" HAVING COUNT(*) >= 2 ORDER BY "college" DESC NULLS LAST | 0.108398 |
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 TEX... | what is the number of patients whose admission year is less than 2150 and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2150" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2150" > "demographic"."admityear" | 0.195313 |
CREATE TABLE table_23800 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| Name the number for db | SELECT COUNT("Pick #") FROM table_23800 WHERE "Position" = 'DB' | SELECT COUNT("Pick #") FROM "table_23800" WHERE "Position" = 'DB' | 0.063477 |
CREATE TABLE People_Addresses (person_address_id INT, person_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Student_Course_Attendance (student_id INT, course_id INT, date_of_attendance DATETIME)
CREATE TABLE Candidate_Assessments (candidate_id INT, qualification CHAR, assessment_date DATETIM... | For each course id, how many students are registered and what are the course names, and rank X in desc order. | SELECT course_name, COUNT(*) FROM Students AS T1 JOIN Student_Course_Registrations AS T2 ON T1.student_id = T2.student_id JOIN Courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id ORDER BY course_name DESC | SELECT "course_name", COUNT(*) FROM "Students" AS "T1" JOIN "Student_Course_Registrations" AS "T2" ON "T1"."student_id" = "T2"."student_id" JOIN "Courses" AS "T3" ON "T2"."course_id" = "T3"."course_id" GROUP BY "T2"."course_id" ORDER BY "course_name" DESC NULLS LAST | 0.259766 |
CREATE TABLE table_name_23 (crowd INT, venue VARCHAR)
| What is the total crowd count for the venue Princes Park? | SELECT SUM(crowd) FROM table_name_23 WHERE venue = "princes park" | SELECT SUM("crowd") FROM "table_name_23" WHERE "princes park" = "venue" | 0.069336 |
CREATE TABLE table_name_43 (speed VARCHAR, machine VARCHAR, points VARCHAR)
| How fast does the BMW with 6 points go? | SELECT speed FROM table_name_43 WHERE machine = "bmw" AND points = 6 | SELECT "speed" FROM "table_name_43" WHERE "bmw" = "machine" AND "points" = 6 | 0.074219 |
CREATE TABLE table_name_32 (name VARCHAR, rank VARCHAR, time VARCHAR)
| Who has a rank below 125 and time of 00: 56.30? | SELECT name FROM table_name_32 WHERE rank < 125 AND time = "00: 56.30" | SELECT "name" FROM "table_name_32" WHERE "00: 56.30" = "time" AND "rank" < 125 | 0.076172 |
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, icd... | what is the number of patients with abnormal lab test status who were less than 62 years of age? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "62" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "62" > "demographic"."age" | 0.182617 |
CREATE TABLE table_32541 ("Rank" FLOAT, "Player" TEXT, "Years" TEXT, "Games" FLOAT, "PPG Avg." FLOAT, "Total Points" FLOAT)
| How many players played over 125 games and were named david gonzalvez? | SELECT COUNT("Rank") FROM table_32541 WHERE "Games" > '125' AND "Player" = 'david gonzalvez' | SELECT COUNT("Rank") FROM "table_32541" WHERE "Games" > '125' AND "Player" = 'david gonzalvez' | 0.091797 |
CREATE TABLE table_43019 ("Country" TEXT, "Area ( km\\u00b2 ) " TEXT, "Population ( 2011 est. ) " TEXT, "Population density ( per km\\u00b2 ) " TEXT, "GDP ( PPP ) $M USD" TEXT)
| How much is the GDP for an area of 116? | SELECT "GDP (PPP) $M USD" FROM table_43019 WHERE "Area (km\u00b2)" = '116' | SELECT "GDP (PPP) $M USD" FROM "table_43019" WHERE "Area (km\u00b2)" = '116' | 0.074219 |
CREATE TABLE table_58417 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the highest number of laps with a time of +6.643 and grid less than 2? | SELECT MAX("Laps") FROM table_58417 WHERE "Time/Retired" = '+6.643' AND "Grid" < '2' | SELECT MAX("Laps") FROM "table_58417" WHERE "Grid" < '2' AND "Time/Retired" = '+6.643' | 0.083984 |
CREATE TABLE table_13744 ("Year" FLOAT, "Title" TEXT, "Director" TEXT, "Studio ( s ) " TEXT, "Notes" TEXT)
| What is Year is Walt Disney Pictures Imagemovers Digital? | SELECT SUM("Year") FROM table_13744 WHERE "Studio(s)" = 'walt disney pictures imagemovers digital' | SELECT SUM("Year") FROM "table_13744" WHERE "Studio(s)" = 'walt disney pictures imagemovers digital' | 0.097656 |
CREATE TABLE table_name_89 (qual_1 VARCHAR, name VARCHAR)
| What is Alex Tagliani's qual 1? | SELECT qual_1 FROM table_name_89 WHERE name = "alex tagliani" | SELECT "qual_1" FROM "table_name_89" WHERE "alex tagliani" = "name" | 0.06543 |
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, Acc... | Topic Growth Year on Year. | SELECT CAST(TIME_TO_STR(Posts.CreationDate, '%Y') AS TEXT(4)) + '-' + CAST(TIME_TO_STR(Posts.CreationDate, '%m') AS TEXT(2)) AS month_year, COUNT(*) AS tagcount FROM Posts INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Tags.TagName = 'sas' AND TIME_TO_STR(Posts.Creat... | SELECT CONCAT(CONCAT(CAST(TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'yyyy') AS TEXT(4)), '-'), CAST(TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'mm') AS TEXT(2))) AS "month_year", COUNT(*) AS "tagcount" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."T... | 0.734375 |
CREATE TABLE table_name_24 (rank INT, points INT)
| What is the highest rank of the player with less than 32 points? | SELECT MAX(rank) FROM table_name_24 WHERE points < 32 | SELECT MAX("rank") FROM "table_name_24" WHERE "points" < 32 | 0.057617 |
CREATE TABLE table_name_94 (date VARCHAR, opponent_in_final VARCHAR)
| What date has the opponent competing in the final of john mcenroe? | SELECT date FROM table_name_94 WHERE opponent_in_final = "john mcenroe" | SELECT "date" FROM "table_name_94" WHERE "john mcenroe" = "opponent_in_final" | 0.075195 |
CREATE TABLE table_204_775 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| which country has the largest amount of total medals ? | SELECT "nation" FROM table_204_775 ORDER BY "total" DESC LIMIT 1 | SELECT "nation" FROM "table_204_775" ORDER BY "total" DESC NULLS LAST LIMIT 1 | 0.075195 |
CREATE TABLE table_29894 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| How many scores where achieved on January 19? | SELECT COUNT("Score") FROM table_29894 WHERE "Date" = 'January 19' | SELECT COUNT("Score") FROM "table_29894" WHERE "Date" = 'January 19' | 0.066406 |
CREATE TABLE table_name_40 (week INT, date VARCHAR)
| What is the latest week with the date of november 5, 1995? | SELECT MAX(week) FROM table_name_40 WHERE date = "november 5, 1995" | SELECT MAX("week") FROM "table_name_40" WHERE "date" = "november 5, 1995" | 0.071289 |
CREATE TABLE table_13762472_13 (series VARCHAR, date VARCHAR)
| What was the series count at on May 23? | SELECT series FROM table_13762472_13 WHERE date = "May 23" | SELECT "series" FROM "table_13762472_13" WHERE "May 23" = "date" | 0.0625 |
CREATE TABLE table_21444 ("Team #1" TEXT, "Points" TEXT, "Team #2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| When they played San Lorenzo, what was the score of the second leg? | SELECT "2nd leg" FROM table_21444 WHERE "Team #1" = 'San Lorenzo' | SELECT "2nd leg" FROM "table_21444" WHERE "Team #1" = 'San Lorenzo' | 0.06543 |
CREATE TABLE table_name_23 (attendance INT, away_team VARCHAR)
| How many in total were in attendance at games where Chelsea was the away team? | SELECT SUM(attendance) FROM table_name_23 WHERE away_team = "chelsea" | SELECT SUM("attendance") FROM "table_name_23" WHERE "away_team" = "chelsea" | 0.073242 |
CREATE TABLE table_name_71 (opponent VARCHAR, date VARCHAR)
| Who was the Opponent on October 31, 1993? | SELECT opponent FROM table_name_71 WHERE date = "october 31, 1993" | SELECT "opponent" FROM "table_name_71" WHERE "date" = "october 31, 1993" | 0.070313 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TE... | calculate the number of medicines that patient 57050 had been prescribed since 03/2105. | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 57050) AND STRFTIME('%y-%m', prescriptions.startdate) >= '2105-03' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 57050 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2105-03' | 0.3125 |
CREATE TABLE table_10192 ("Name" TEXT, "Service" TEXT, "Rank" TEXT, "Place of action" TEXT, "Unit" TEXT)
| Tell me the place of action for sergeant rank and 5th company, 2nd marines unit | SELECT "Place of action" FROM table_10192 WHERE "Rank" = 'sergeant' AND "Unit" = '5th company, 2nd marines' | SELECT "Place of action" FROM "table_10192" WHERE "Rank" = 'sergeant' AND "Unit" = '5th company, 2nd marines' | 0.106445 |
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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, charge... | in 2105 what was the first care unit of patient 4900? | SELECT transfers.careunit FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4900) AND NOT transfers.careunit IS NULL AND STRFTIME('%y', transfers.intime) = '2105' ORDER BY transfers.intime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4900 GROUP BY "hadm_id") SELECT "transfers"."careunit" FROM "transfers" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "transfers"."careunit" IS NULL AND STRFTIME('%y', ... | 0.390625 |
CREATE TABLE table_204_665 (id DECIMAL, "rank" DECIMAL, "name" TEXT, "notability" TEXT, "birthplace" TEXT, "advocate" TEXT)
| who was the only listed candadian from british columbia ? | SELECT "name" FROM table_204_665 WHERE "birthplace" = 'british columbia' | SELECT "name" FROM "table_204_665" WHERE "birthplace" = 'british columbia' | 0.072266 |
CREATE TABLE table_name_44 (japanese_title VARCHAR, disc VARCHAR, artist VARCHAR)
| Which Japanese title has a Disc smaller than 12, and an Artist of k z murashita? | SELECT japanese_title FROM table_name_44 WHERE disc < 12 AND artist = "kōzō murashita" | SELECT "japanese_title" FROM "table_name_44" WHERE "artist" = "kōzō murashita" AND "disc" < 12 | 0.091797 |
CREATE TABLE Street_Markets (Market_ID INT, Market_Details VARCHAR)
CREATE TABLE Features (Feature_ID INT, Feature_Details VARCHAR)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID INT, Feature_ID INT)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID INT, Attraction_Type_Code CHAR, Location_ID INT... | List all the possible ways to get to attractions, together with the number of attractions accessible by these methods Visualize by bar chart, and could you order y axis from low to high order? | SELECT How_to_Get_There, COUNT(*) FROM Tourist_Attractions GROUP BY How_to_Get_There ORDER BY COUNT(*) | SELECT "How_to_Get_There", COUNT(*) FROM "Tourist_Attractions" GROUP BY "How_to_Get_There" ORDER BY COUNT(*) NULLS FIRST | 0.117188 |
CREATE TABLE table_75795 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is Package/Option, when Content is Poker? | SELECT "Package/Option" FROM table_75795 WHERE "Content" = 'poker' | SELECT "Package/Option" FROM "table_75795" WHERE "Content" = 'poker' | 0.066406 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_i... | when was the last time that patient 1902 has the minimum bicarbonate since 47 months ago? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1902) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bicarbonate') AND DATETIME(labevents.charttime) >= DATETIME(CURRENT_TIME(), '-47... | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1902 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bicarbonate' GROUP BY "itemid") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" O... | 0.628906 |
CREATE TABLE table_29547777_1 (original_performer VARCHAR, episode VARCHAR)
| Who is the original performer when the episode is casting? | SELECT original_performer FROM table_29547777_1 WHERE episode = "Casting" | SELECT "original_performer" FROM "table_29547777_1" WHERE "Casting" = "episode" | 0.077148 |
CREATE TABLE table_53856 ("Rank" FLOAT, "Club 1" TEXT, "Seasons" FLOAT, "Spells" FLOAT, "Played 2" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals" TEXT, "Points 3" TEXT)
| How many seasons have goals of 261-338 with more than 111 losses? | SELECT COUNT("Seasons") FROM table_53856 WHERE "Goals" = '261-338' AND "Lost" > '111' | SELECT COUNT("Seasons") FROM "table_53856" WHERE "Goals" = '261-338' AND "Lost" > '111' | 0.084961 |
CREATE TABLE table_name_76 (silver INT, nation VARCHAR)
| What is the most silver won by Norway? | SELECT MAX(silver) FROM table_name_76 WHERE nation = "norway" | SELECT MAX("silver") FROM "table_name_76" WHERE "nation" = "norway" | 0.06543 |
CREATE TABLE table_name_22 (high_points VARCHAR, opponent VARCHAR, date VARCHAR)
| What was the high points for opponent Mid-Michigan destroyers on January 3? | SELECT high_points FROM table_name_22 WHERE opponent = "mid-michigan destroyers" AND date = "january 3" | SELECT "high_points" FROM "table_name_22" WHERE "date" = "january 3" AND "mid-michigan destroyers" = "opponent" | 0.108398 |
CREATE TABLE table_name_74 (date VARCHAR, others VARCHAR)
| What date has the others of 2%? | SELECT date FROM table_name_74 WHERE others = "2%" | SELECT "date" FROM "table_name_74" WHERE "2%" = "others" | 0.054688 |
CREATE TABLE table_59918 ("7:00 am" TEXT, "7:30 am" TEXT, "8:00 am" TEXT, "9:00 am" TEXT, "11:00 am" TEXT, "noon" TEXT, "12:30 pm" TEXT, "1:00 pm" TEXT, "1:30 pm" TEXT, "2:00 pm" TEXT, "3:00 pm" TEXT, "3:30 pm" TEXT, "4:00 pm" TEXT, "5:00 pm" TEXT, "6:30 pm" TEXT)
| What is on at 8:00am, that has Another World playing at 2:00pm? | SELECT "8:00 am" FROM table_59918 WHERE "2:00 pm" = 'another world' | SELECT "8:00 am" FROM "table_59918" WHERE "2:00 pm" = 'another world' | 0.067383 |
CREATE TABLE table_name_67 (county VARCHAR, player VARCHAR)
| What is Tony O'Sullivan's county? | SELECT county FROM table_name_67 WHERE player = "tony o'sullivan" | SELECT "county" FROM "table_name_67" WHERE "player" = "tony o'sullivan" | 0.069336 |
CREATE TABLE table_train_76 ("id" INT, "mini_mental_state_examination_mmse" INT, "language" TEXT, "csf" INT, "rosen_modified_hachinski_ischemic_score" INT, "ad" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| mmse between 17 and 24 ( inclusive ) at screening | SELECT * FROM table_train_76 WHERE mini_mental_state_examination_mmse >= 17 AND mini_mental_state_examination_mmse <= 24 | SELECT * FROM "table_train_76" WHERE "mini_mental_state_examination_mmse" <= 24 AND "mini_mental_state_examination_mmse" >= 17 | 0.123047 |
CREATE TABLE table_name_9 (league_cup INT, championship VARCHAR)
| What is the lowest number of league cups with 4 championships? | SELECT MIN(league_cup) FROM table_name_9 WHERE championship = 4 | SELECT MIN("league_cup") FROM "table_name_9" WHERE "championship" = 4 | 0.067383 |
CREATE TABLE table_49336 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| what is the to par when the place is t10 and the score is 72-74-71-69=286? | SELECT "To par" FROM table_49336 WHERE "Place" = 't10' AND "Score" = '72-74-71-69=286' | SELECT "To par" FROM "table_49336" WHERE "Place" = 't10' AND "Score" = '72-74-71-69=286' | 0.085938 |
CREATE TABLE table_2987 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| Name the title for 446913 | SELECT "Title" FROM table_2987 WHERE "Production code" = '446913' | SELECT "Title" FROM "table_2987" WHERE "Production code" = '446913' | 0.06543 |
CREATE TABLE table_8788 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| What is the country of player curtis strange? | SELECT "Country" FROM table_8788 WHERE "Player" = 'curtis strange' | SELECT "Country" FROM "table_8788" WHERE "Player" = 'curtis strange' | 0.066406 |
CREATE TABLE PostTags (PostId DECIMAL, TagId 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)
CREAT... | Top ten lowest scored answers with OwnerUserID. | SELECT 'id' AS "post_link", 'score', 'owneruserid' AS "user_link" FROM Posts WHERE 'posttypeid' = 2 AND 'score' < 0 ORDER BY 'score' LIMIT 10 | SELECT 'id' AS "post_link", 'score', 'owneruserid' AS "user_link" FROM "Posts" WHERE 'posttypeid' = 2 AND 'score' < 0 ORDER BY 'score' NULLS FIRST LIMIT 10 | 0.151367 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)... | For those employees who did not have any job in the past, find job_id and the sum of salary , and group by attribute job_id, and visualize them by a bar chart, could you rank sum salary in desc order? | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY SUM("SALARY") DESC NULLS LAST | 0.168945 |
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIM... | when was the first time that patient 018-20179 was diagnosed with a suicidal ideation since 2105? | SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '018-20179')) AND diagnosis.diagnosisname = 'suicidal ideation' AN... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '018-20179' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" ... | 0.664063 |
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE instr... | What are the names and average salaries for departments with average salary higher than 42000 Plot them as bar chart, display y axis in descending order. | SELECT dept_name, AVG(salary) FROM instructor GROUP BY dept_name ORDER BY AVG(salary) DESC | SELECT "dept_name", AVG("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY AVG("salary") DESC NULLS LAST | 0.108398 |
CREATE TABLE Payments (Payment_ID INT, Settlement_ID INT, Payment_Method_Code VARCHAR, Date_Payment_Made DATE, Amount_Payment INT)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE Customers (Customer_ID INT, Customer_De... | Bar chart of sum amount payment from each payment method code, and sort X in descending order. | SELECT Payment_Method_Code, SUM(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY Payment_Method_Code DESC | SELECT "Payment_Method_Code", SUM("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" ORDER BY "Payment_Method_Code" DESC NULLS LAST | 0.141602 |
CREATE TABLE table_name_34 (round VARCHAR, competition VARCHAR, series VARCHAR)
| Which Round has a Competition of uefa cup, and a Series of 5 2? | SELECT round FROM table_name_34 WHERE competition = "uefa cup" AND series = "5–2" | SELECT "round" FROM "table_name_34" WHERE "5–2" = "series" AND "competition" = "uefa cup" | 0.086914 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title ... | provide the number of patients whose ethnicity is black/african american and age is less than 79? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.age < "79" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "79" > "demographic"."age" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.154297 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID... | For those employees who do not work in departments with managers that have ids between 100 and 200, a line chart shows the change of manager_id over hire_date | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.167969 |
CREATE TABLE table_69049 ("Stage" TEXT, "Time ( EEST ) " TEXT, "Name" TEXT, "Length" TEXT, "Winner" TEXT, "Rally leader" TEXT)
| Name the stage for m. gr nholm and winner of s.loeb with time of 17:57 | SELECT "Stage" FROM table_69049 WHERE "Rally leader" = 'm. grönholm' AND "Winner" = 's.loeb' AND "Time (EEST)" = '17:57' | SELECT "Stage" FROM "table_69049" WHERE "Rally leader" = 'm. grönholm' AND "Time (EEST)" = '17:57' AND "Winner" = 's.loeb' | 0.119141 |
CREATE TABLE table_name_66 (year VARCHAR, moves VARCHAR, opening VARCHAR)
| What year has 14 moves and an opening of C54 Italian Game? | SELECT year FROM table_name_66 WHERE moves = 14 AND opening = "c54 italian game" | SELECT "year" FROM "table_name_66" WHERE "c54 italian game" = "opening" AND "moves" = 14 | 0.085938 |
CREATE TABLE writes (aid INT, pid INT)
CREATE TABLE author (aid INT, homepage VARCHAR, name VARCHAR, oid INT)
CREATE TABLE domain_keyword (did INT, kid INT)
CREATE TABLE domain_journal (did INT, jid INT)
CREATE TABLE publication (abstract VARCHAR, cid INT, citation_num INT, jid INT, pid INT, reference_num INT, title VA... | return me the journals, which have more than 60 papers containing keyword ' Relational Database ' . | SELECT journal.name FROM journal, keyword, publication, publication_keyword WHERE keyword.keyword = 'Relational Database' AND publication_keyword.kid = keyword.kid AND publication.jid = journal.jid AND publication.pid = publication_keyword.pid GROUP BY journal.name HAVING COUNT(DISTINCT (publication.title)) > 60 | SELECT "journal"."name" FROM "journal" JOIN "publication" ON "journal"."jid" = "publication"."jid" JOIN "publication_keyword" ON "publication"."pid" = "publication_keyword"."pid" JOIN "keyword" ON "keyword"."keyword" = 'Relational Database' AND "keyword"."kid" = "publication_keyword"."kid" GROUP BY "journal"."name" HAV... | 0.357422 |
CREATE TABLE table_24257 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "US viewers ( millions ) " TEXT)
| What is the production code for the episode title 'A Wrong Day's Journey into Right'? | SELECT "Production code" FROM table_24257 WHERE "Title" = 'A Wrong Day''s Journey into Right' | SELECT "Production code" FROM "table_24257" WHERE "Title" = 'A Wrong Day\'s Journey into Right' | 0.092773 |
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, i... | what is the average age of patients whose admission type is urgent that stayed in hospital for 5 days? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.days_stay = "5" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "5" = "demographic"."days_stay" AND "URGENT" = "demographic"."admission_type" | 0.130859 |
CREATE TABLE table_10480 ("Goal" FLOAT, "Date" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What is the score of the friendly competition with 1 goal? | SELECT "Score" FROM table_10480 WHERE "Competition" = 'friendly' AND "Goal" = '1' | SELECT "Score" FROM "table_10480" WHERE "Competition" = 'friendly' AND "Goal" = '1' | 0.081055 |
CREATE TABLE table_name_30 (scored INT, losses VARCHAR, draws VARCHAR, team VARCHAR)
| What is the averaged scored number of team guaran , which has less than 6 draws and less than 5 losses? | SELECT AVG(scored) FROM table_name_30 WHERE draws < 6 AND team = "guaraní" AND losses < 5 | SELECT AVG("scored") FROM "table_name_30" WHERE "draws" < 6 AND "guaraní" = "team" AND "losses" < 5 | 0.09668 |
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName ... | All posts of a user. | SELECT OwnerUserId AS "user_link", u.DisplayName, p.Id AS "post_link", ParentId AS "post_link", Title FROM Posts AS p LEFT OUTER JOIN Users AS u ON u.Id = OwnerUserId WHERE OwnerUserId = 65889 | SELECT "OwnerUserId" AS "user_link", "u"."DisplayName", "p"."Id" AS "post_link", "ParentId" AS "post_link", "Title" FROM "Posts" AS "p" LEFT JOIN "Users" AS "u" ON "OwnerUserId" = "u"."Id" WHERE "OwnerUserId" = 65889 | 0.210938 |
CREATE TABLE table_70877 ("Title" TEXT, "Studio" TEXT, "Role" TEXT, "Leading lady" TEXT, "Director" TEXT)
| Which title had Muriel Evans as leading lady? | SELECT "Title" FROM table_70877 WHERE "Leading lady" = 'muriel evans' | SELECT "Title" FROM "table_70877" WHERE "Leading lady" = 'muriel evans' | 0.069336 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE... | what are the three most frequently prescribed drugs for transaminase elevation male patients of the 50s during the same hospital encounter after they have been diagnosed with transaminase elevation until 1 year ago? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'transaminase el... | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 59 AND "patient"."age" >= 50 AND "patient"."gender" = 'male... | 1.000977 |
CREATE TABLE table_53061 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| I want the total number of Laps for Rubens Barrichello | SELECT COUNT("Laps") FROM table_53061 WHERE "Driver" = 'rubens barrichello' | SELECT COUNT("Laps") FROM "table_53061" WHERE "Driver" = 'rubens barrichello' | 0.075195 |
CREATE TABLE elimination (elimination_id TEXT, wrestler_id TEXT, team TEXT, eliminated_by TEXT, elimination_move TEXT, time TEXT)
CREATE TABLE wrestler (wrestler_id DECIMAL, name TEXT, reign TEXT, days_held TEXT, location TEXT, event TEXT)
| Which reign is the most common among wrestlers? | SELECT reign FROM wrestler GROUP BY reign ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "reign" FROM "wrestler" GROUP BY "reign" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.086914 |
CREATE TABLE table_name_48 (goals VARCHAR, result VARCHAR, date VARCHAR)
| How many goals have a result of 0-1 on march 28, 2007? | SELECT COUNT(goals) FROM table_name_48 WHERE result = "0-1" AND date = "march 28, 2007" | SELECT COUNT("goals") FROM "table_name_48" WHERE "0-1" = "result" AND "date" = "march 28, 2007" | 0.092773 |
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, ... | number the number of times patient 017-16041 had been given vascular 3 flush amount (ml) since 04/15/2103. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-16041')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.ce... | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-16041' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" ... | 0.667969 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEX... | how many patients born before 2101 have primary disease as pituitary bleed? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PITUITARY BLEED" AND demographic.dob_year < "2101" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2101" > "demographic"."dob_year" AND "PITUITARY BLEED" = "demographic"."diagnosis" | 0.154297 |
CREATE TABLE table_203_105 (id DECIMAL, "name" TEXT, "street address" TEXT, "years as tallest" TEXT, "height\ ft ( m ) " TEXT, "floors" DECIMAL)
| what was the first building named as the tallest ? | SELECT "name" FROM table_203_105 ORDER BY id LIMIT 1 | SELECT "name" FROM "table_203_105" ORDER BY "id" NULLS FIRST LIMIT 1 | 0.066406 |
CREATE TABLE table_203_416 (id DECIMAL, "school name" TEXT, "city" TEXT, "grades" TEXT, "establishment" DECIMAL, "charter" TEXT)
| which school was established first ? | SELECT "school name" FROM table_203_416 ORDER BY "establishment" LIMIT 1 | SELECT "school name" FROM "table_203_416" ORDER BY "establishment" NULLS FIRST LIMIT 1 | 0.083984 |
CREATE TABLE people (People_ID INT, Age INT, Name TEXT, Nationality TEXT, Graduation_College TEXT)
CREATE TABLE employment (Company_ID INT, People_ID INT, Year_working INT)
CREATE TABLE company (Company_ID FLOAT, Name TEXT, Headquarters TEXT, Industry TEXT, Sales_in_Billion FLOAT, Profits_in_Billion FLOAT, Assets_in_Bi... | Bar chart x axis headquarters y axis the total number, and display by the Y in descending. | SELECT Headquarters, COUNT(*) FROM company GROUP BY Headquarters ORDER BY COUNT(*) DESC | SELECT "Headquarters", COUNT(*) FROM "company" GROUP BY "Headquarters" ORDER BY COUNT(*) DESC NULLS LAST | 0.101563 |
CREATE TABLE table_15055594_6 (fall_09 INT, fall_06 VARCHAR)
| What was the highest number of students in Fall 09 in the state that had 3821 in Fall 06? | SELECT MAX(fall_09) FROM table_15055594_6 WHERE fall_06 = 3821 | SELECT MAX("fall_09") FROM "table_15055594_6" WHERE "fall_06" = 3821 | 0.066406 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_ty... | provide the number of patients whose year of birth is less than 2071 and drug route is ed? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2071" AND prescriptions.route = "ED" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ED" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2071" > "demographic"."dob_year" | 0.213867 |
CREATE TABLE table_5736 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| On what date was the score 6 4, 7 5? | SELECT "Date" FROM table_5736 WHERE "Score" = '6–4, 7–5' | SELECT "Date" FROM "table_5736" WHERE "Score" = '6–4, 7–5' | 0.056641 |
CREATE TABLE table_name_28 (country VARCHAR, to_par VARCHAR)
| Name the country with +2 to par | SELECT country FROM table_name_28 WHERE to_par = "+2" | SELECT "country" FROM "table_name_28" WHERE "+2" = "to_par" | 0.057617 |
CREATE TABLE table_70593 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
| Which entrant scored less than 8 points and used a Maserati chassis? | SELECT "Entrant" FROM table_70593 WHERE "Points" < '8' AND "Chassis" = 'maserati' | SELECT "Entrant" FROM "table_70593" WHERE "Chassis" = 'maserati' AND "Points" < '8' | 0.081055 |
CREATE TABLE table_57331 ("Council" TEXT, "2003 result" TEXT, "Notional control ( based on 2003 results ) " TEXT, "2007 result" TEXT, "Details" TEXT)
| What council has a 2007 result of no overall control (ind + snp)? | SELECT "Council" FROM table_57331 WHERE "2007 result" = 'no overall control (ind + snp)' | SELECT "Council" FROM "table_57331" WHERE "2007 result" = 'no overall control (ind + snp)' | 0.087891 |
CREATE TABLE table_name_33 (result VARCHAR, opponent VARCHAR)
| What was the result when the new england patriots played? | SELECT result FROM table_name_33 WHERE opponent = "new england patriots" | SELECT "result" FROM "table_name_33" WHERE "new england patriots" = "opponent" | 0.076172 |
CREATE TABLE table_name_26 (fate VARCHAR, ship VARCHAR)
| What is the fate for the Bremen ship? | SELECT fate FROM table_name_26 WHERE ship = "bremen" | SELECT "fate" FROM "table_name_26" WHERE "bremen" = "ship" | 0.056641 |
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECI... | Short questions with high scores. | SELECT Id, Score, LENGTH(Body), CreationDate FROM Posts WHERE PostTypeId = 1 AND LENGTH(Body) < 100 AND Score > 5 ORDER BY LENGTH(Body) | SELECT "Id", "Score", LENGTH("Body"), "CreationDate" FROM "Posts" WHERE "PostTypeId" = 1 AND "Score" > 5 AND LENGTH("Body") < 100 ORDER BY LENGTH("Body") NULLS FIRST | 0.161133 |
CREATE TABLE table_name_51 (package_option VARCHAR, language VARCHAR, television_service VARCHAR)
| What is Package/Option, when Language is Italian, and when Television Service is Sky Radio? | SELECT package_option FROM table_name_51 WHERE language = "italian" AND television_service = "sky radio" | SELECT "package_option" FROM "table_name_51" WHERE "italian" = "language" AND "sky radio" = "television_service" | 0.109375 |
CREATE TABLE table_name_96 (points INT, player VARCHAR)
| What are the highest points that Emmitt Smith had? | SELECT MAX(points) FROM table_name_96 WHERE player = "emmitt smith" | SELECT MAX("points") FROM "table_name_96" WHERE "emmitt smith" = "player" | 0.071289 |
CREATE TABLE table_name_84 (tonnage_grt INT, nationality VARCHAR, ship VARCHAR)
| what is the least tonnage grt when the nationality is british and the ship is kidalton? | SELECT MIN(tonnage_grt) FROM table_name_84 WHERE nationality = "british" AND ship = "kidalton" | SELECT MIN("tonnage_grt") FROM "table_name_84" WHERE "british" = "nationality" AND "kidalton" = "ship" | 0.099609 |
CREATE TABLE table_23056 ("Rank" TEXT, "Rating" TEXT, "Completion Percentage" TEXT, "Touchdown Percentage" TEXT, "Yards Per Attempt" TEXT, "Total Yards" TEXT)
| How many yards per attempt were there when total yards were 513? | SELECT "Yards Per Attempt" FROM table_23056 WHERE "Total Yards" = '513' | SELECT "Yards Per Attempt" FROM "table_23056" WHERE "Total Yards" = '513' | 0.071289 |
CREATE TABLE table_11118 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What date were there more than 16,000 people in the crowd and Carlton was the home team? | SELECT "Date" FROM table_11118 WHERE "Crowd" > '16,000' AND "Home team" = 'carlton' | SELECT "Date" FROM "table_11118" WHERE "Crowd" > '16,000' AND "Home team" = 'carlton' | 0.083008 |
CREATE TABLE table_2299 ("#" TEXT, "Date" TEXT, "at/vs." TEXT, "Opponent" TEXT, "Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was attendance on March 11, 1995? | SELECT MIN("Attendance") FROM table_2299 WHERE "Date" = 'March 11, 1995' | SELECT MIN("Attendance") FROM "table_2299" WHERE "Date" = 'March 11, 1995' | 0.072266 |
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 d... | what is AS | SELECT DISTINCT airline_code FROM airline WHERE airline_code = 'AS' | SELECT DISTINCT "airline_code" FROM "airline" WHERE "airline_code" = 'AS' | 0.071289 |
CREATE TABLE table_name_64 (school_name VARCHAR, students VARCHAR, grades VARCHAR)
| Which School name has students smaller than 389, and grades of 10-12? | SELECT school_name FROM table_name_64 WHERE students < 389 AND grades = "10-12" | SELECT "school_name" FROM "table_name_64" WHERE "10-12" = "grades" AND "students" < 389 | 0.084961 |
CREATE TABLE table_24791 ("Pilot" TEXT, "Organization" TEXT, "Total Flights" FLOAT, "USAF space flights" FLOAT, "FAI space flights" FLOAT, "Max Mach" TEXT, "Max speed ( mph ) " FLOAT, "Max altitude ( miles ) " TEXT)
| Who was the pilot of max altitude of 55.9 miles? | SELECT "Pilot" FROM table_24791 WHERE "Max altitude (miles)" = '55.9' | SELECT "Pilot" FROM "table_24791" WHERE "Max altitude (miles)" = '55.9' | 0.069336 |
CREATE TABLE table_71142 ("Rank" FLOAT, "Country/Region" TEXT, "Population" FLOAT, "Area ( km 2 ) " FLOAT, "Density ( Pop. per km 2 ) " FLOAT)
| Can you tell me the sun of Population that has the Country/Region of hong kong, and the Rank smaller than 2? | SELECT SUM("Population") FROM table_71142 WHERE "Country/Region" = 'hong kong' AND "Rank" < '2' | SELECT SUM("Population") FROM "table_71142" WHERE "Country/Region" = 'hong kong' AND "Rank" < '2' | 0.094727 |
CREATE TABLE table_name_18 (coach VARCHAR, ncaa VARCHAR, losses VARCHAR, conference_titles VARCHAR, seasons VARCHAR)
| Which coach has 0 conference titles, more than 2 seasons, higher than 87 losses and 0 NCAA? | SELECT coach FROM table_name_18 WHERE conference_titles = "0" AND seasons > 2 AND losses > 87 AND ncaa = "0" | SELECT "coach" FROM "table_name_18" WHERE "0" = "conference_titles" AND "0" = "ncaa" AND "losses" > 87 AND "seasons" > 2 | 0.117188 |
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