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CREATE TABLE table_203_165 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many nations received a medal in each gold , silver , and bronze ? | SELECT COUNT("nation") FROM table_203_165 WHERE "gold" > 0 AND "silver" > 0 AND "bronze" > 0 | SELECT COUNT("nation") FROM "table_203_165" WHERE "bronze" > 0 AND "gold" > 0 AND "silver" > 0 | 0.091797 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many of the patients on urgent admission had icd9 code 4105? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "4105" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4105" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.21875 |
CREATE TABLE table_11900773_5 (illustration VARCHAR2, theme VARCHAR2)
| Who created the illustration for the stamp that was themed 100 years of scouting? | SELECT illustration FROM table_11900773_5 WHERE theme = "100 Years of Scouting" | SELECT "illustration" FROM "table_11900773_5" WHERE "100 Years of Scouting" = "theme" | 0.083008 |
CREATE TABLE table_name_94 (place VARCHAR2, player VARCHAR2)
| What is Place, when Player is 'Mi Hyun Kim'? | SELECT place FROM table_name_94 WHERE player = "mi hyun kim" | SELECT "place" FROM "table_name_94" WHERE "mi hyun kim" = "player" | 0.064453 |
CREATE TABLE table_40427 ("Season" CLOB, "Conference" CLOB, "Division" CLOB, "Finish" CLOB, "Wins" CLOB, "Losses" CLOB)
| What is the Conference for the 1967 68 season? | SELECT "Conference" FROM table_40427 WHERE "Season" = '1967–68' | SELECT "Conference" FROM "table_40427" WHERE "Season" = '1967–68' | 0.063477 |
CREATE TABLE table_19026 ("Rank" FLOAT, "Airport" CLOB, "Total Passengers" FLOAT, "% Change 2005/2006" CLOB, "International Passengers" FLOAT, "Domestic Passengers" FLOAT, "Transit Passengers" FLOAT, "Aircraft Movements" FLOAT, "Freight ( Metric Tonnes ) " FLOAT)
| how many airport with rank being 4 | SELECT COUNT("Airport") FROM table_19026 WHERE "Rank" = '4' | SELECT COUNT("Airport") FROM "table_19026" WHERE "Rank" = '4' | 0.05957 |
CREATE TABLE table_name_10 (lead VARCHAR2, skip VARCHAR2)
| Who was the lead when Ritvars Gulbis was the skip? | SELECT lead FROM table_name_10 WHERE skip = "ritvars gulbis" | SELECT "lead" FROM "table_name_10" WHERE "ritvars gulbis" = "skip" | 0.064453 |
CREATE TABLE table_33838 ("Game" FLOAT, "December" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| December smaller than 21, and a Opponent of buffalo sabres had what score? | SELECT "Score" FROM table_33838 WHERE "December" < '21' AND "Opponent" = 'buffalo sabres' | SELECT "Score" FROM "table_33838" WHERE "December" < '21' AND "Opponent" = 'buffalo sabres' | 0.088867 |
CREATE TABLE table_27268238_4 (highest_score VARCHAR2, matches VARCHAR2, team VARCHAR2)
| If the team is Worcestershire and the Matched had were 5, what is the highest score? | SELECT highest_score FROM table_27268238_4 WHERE matches = 5 AND team = "Worcestershire" | SELECT "highest_score" FROM "table_27268238_4" WHERE "Worcestershire" = "team" AND "matches" = 5 | 0.09375 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Show me team_id by all road in a histogram, could you rank x-axis in descending order? | SELECT All_Road, Team_ID FROM basketball_match ORDER BY All_Road DESC | SELECT "All_Road", "Team_ID" FROM "basketball_match" ORDER BY "All_Road" DESC | 0.075195 |
CREATE TABLE table_204_760 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| what was the last competition in which a position of 2nd was achieved ? | SELECT "competition" FROM table_204_760 WHERE "position" = 2 ORDER BY "year" DESC LIMIT 1 | SELECT "competition" FROM "table_204_760" WHERE "position" = 2 ORDER BY "year" DESC FETCH FIRST 1 ROWS ONLY | 0.104492 |
CREATE TABLE table_name_70 (stadium VARCHAR2, team VARCHAR2)
| What is the stadium of the NK Zagreb? | SELECT stadium FROM table_name_70 WHERE team = "nk zagreb" | SELECT "stadium" FROM "table_name_70" WHERE "nk zagreb" = "team" | 0.0625 |
CREATE TABLE table_name_14 (date_s_ VARCHAR2, winner VARCHAR2)
| What date did Virginia Commonwealth Rams win? | SELECT date_s_ FROM table_name_14 WHERE winner = "virginia commonwealth rams" | SELECT "date_s_" FROM "table_name_14" WHERE "virginia commonwealth rams" = "winner" | 0.081055 |
CREATE TABLE table_name_66 (home VARCHAR2, visitor VARCHAR2)
| What is the home team of the game with the Raptors as the visitor team? | SELECT home FROM table_name_66 WHERE visitor = "raptors" | SELECT "home" FROM "table_name_66" WHERE "raptors" = "visitor" | 0.060547 |
CREATE TABLE table_name_73 (power VARCHAR2, years VARCHAR2)
| What is the power of an engine of 1972? | SELECT power FROM table_name_73 WHERE years = "1972" | SELECT "power" FROM "table_name_73" WHERE "1972" = "years" | 0.056641 |
CREATE TABLE table_37186 ("Ship" CLOB, "Hull No." CLOB, "Builder" CLOB, "Home Port" CLOB, "Commissioned\\u2013 Decommissioned" CLOB, "NVR page" CLOB)
| Name the hull number of Commissioned Decommissioned of 1973 1996 | SELECT "Hull No." FROM table_37186 WHERE "Commissioned\u2013 Decommissioned" = '1973–1996' | SELECT "Hull No." FROM "table_37186" WHERE "Commissioned\u2013 Decommissioned" = '1973–1996' | 0.089844 |
CREATE TABLE table_name_14 (team VARCHAR2, driver VARCHAR2)
| For what Team is Narain Karthikeyan the Driver? | SELECT team FROM table_name_14 WHERE driver = "narain karthikeyan" | SELECT "team" FROM "table_name_14" WHERE "driver" = "narain karthikeyan" | 0.070313 |
CREATE TABLE table_name_70 (home_team VARCHAR2, away_team VARCHAR2)
| What is the name of the home team when the away team was Melbourne? | SELECT home_team FROM table_name_70 WHERE away_team = "melbourne" | SELECT "home_team" FROM "table_name_70" WHERE "away_team" = "melbourne" | 0.069336 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients treated with hydz20i had their body fluids tested by lab? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "HYDZ20I" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "HYDZ20I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.28418 |
CREATE TABLE table_49214 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is Score, when High Points is 'Luis Scola (18)', and when High Rebounds is 'Luis Scola (11)'? | SELECT "Score" FROM table_49214 WHERE "High points" = 'luis scola (18)' AND "High rebounds" = 'luis scola (11)' | SELECT "Score" FROM "table_49214" WHERE "High points" = 'luis scola (18)' AND "High rebounds" = 'luis scola (11)' | 0.110352 |
CREATE TABLE table_6728 ("Season" FLOAT, "Team" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT)
| What is the sum of Draws for a season later than 1964? | SELECT SUM("Draws") FROM table_6728 WHERE "Season" > '1964' | SELECT SUM("Draws") FROM "table_6728" WHERE "Season" > '1964' | 0.05957 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients with medicare insurance were diagnosed with iatrogenic hypotnsion nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.short_title = "Iatrogenc hypotnsion NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Iatrogenc hypotnsion NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.234375 |
CREATE TABLE Documents_Mailed (mailing_date VARCHAR2, document_id VARCHAR2)
| What is the mail date of the document with id 7? | SELECT mailing_date FROM Documents_Mailed WHERE document_id = 7 | SELECT "mailing_date" FROM "Documents_Mailed" WHERE "document_id" = 7 | 0.067383 |
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR)
CREATE TABLE Events (Event_ID NUMBER, Service_ID NUMBER, Event_Details VARCHAR2)
CREATE TABLE Participants (Participant_ID NUMBER, Participant_Type_Code CHAR, Participant_Details VARCHAR2)
CREATE TABLE Participants_in_Events (Event_ID NUMBER, Participant_ID NUMBER)
| Give me a pie chart to show the proportion of each event details. | SELECT Event_Details, COUNT(Event_Details) FROM Events GROUP BY Event_Details | SELECT "Event_Details", COUNT("Event_Details") FROM "Events" GROUP BY "Event_Details" | 0.083008 |
CREATE TABLE table_204_484 (id NUMBER, "song" CLOB, "artists" CLOB, "release" CLOB, "year" NUMBER, "notes" CLOB)
| how many times was skrein listed as an artist on a song ? | SELECT COUNT(*) FROM table_204_484 WHERE "artists" = 'skrein' | SELECT COUNT(*) FROM "table_204_484" WHERE "artists" = 'skrein' | 0.061523 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Draw a pie chart about the proportion of All_Home and the amount of All_Home. | SELECT All_Home, COUNT(All_Home) FROM basketball_match GROUP BY All_Home | SELECT "All_Home", COUNT("All_Home") FROM "basketball_match" GROUP BY "All_Home" | 0.078125 |
CREATE TABLE company (Company_ID NUMBER, Rank NUMBER, Company CLOB, Headquarters CLOB, Main_Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
CREATE TABLE station_company (Station_ID NUMBER, Company_ID NUMBER, Rank_of_the_Year NUMBER)
CREATE TABLE gas_station (Station_ID NUMBER, Open_Year NUMBER, Location CLOB, Manager_Name CLOB, Vice_Manager_Name CLOB, Representative_Name CLOB)
| How many companies in each headquarter? Plot a bar chart, and I want to sort from low to high by the x-axis. | SELECT Headquarters, COUNT(Headquarters) FROM company GROUP BY Headquarters ORDER BY Headquarters | SELECT "Headquarters", COUNT("Headquarters") FROM "company" GROUP BY "Headquarters" ORDER BY "Headquarters" | 0.104492 |
CREATE TABLE table_204_951 (id NUMBER, "candidate" CLOB, "votes" NUMBER, "percentage" CLOB, "counties" NUMBER, "delegates" NUMBER)
| how many candidates got more than 5 % of the votes ? | SELECT COUNT("candidate") FROM table_204_951 WHERE "percentage" > 5 | SELECT COUNT("candidate") FROM "table_204_951" WHERE "percentage" > 5 | 0.067383 |
CREATE TABLE table_61058 ("Year" FLOAT, "Domestic" FLOAT, "International" FLOAT, "Total" FLOAT, "Change" CLOB)
| What is the number for the international with 669 domestic earlier than 2005? | SELECT AVG("International") FROM table_61058 WHERE "Domestic" = '669' AND "Year" < '2005' | SELECT AVG("International") FROM "table_61058" WHERE "Domestic" = '669' AND "Year" < '2005' | 0.088867 |
CREATE TABLE table_name_74 (rank VARCHAR2, run_2 VARCHAR2)
| What is Rank, when Run 2 is 2:06.62? | SELECT rank FROM table_name_74 WHERE run_2 = "2:06.62" | SELECT "rank" FROM "table_name_74" WHERE "2:06.62" = "run_2" | 0.058594 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose age is less than 80 and diagnoses long title is tietze's disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "80" AND diagnoses.long_title = "Tietze's disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Tietze's disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "80" > "demographic"."age" | 0.213867 |
CREATE TABLE table_27766 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| What is the production code of the episode directed by Michael McDonald? | SELECT "Production code" FROM table_27766 WHERE "Directed by" = 'Michael McDonald' | SELECT "Production code" FROM "table_27766" WHERE "Directed by" = 'Michael McDonald' | 0.082031 |
CREATE TABLE table_6044 ("Month" CLOB, "Week" FLOAT, "Offensive" CLOB, "Defensive" CLOB, "Goalkeeper" CLOB, "Rookie" CLOB)
| Who is the rookie goalkeeper Rob Scherr who played before week 6? | SELECT "Rookie" FROM table_6044 WHERE "Goalkeeper" = 'rob scherr' AND "Week" < '6' | SELECT "Rookie" FROM "table_6044" WHERE "Goalkeeper" = 'rob scherr' AND "Week" < '6' | 0.082031 |
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
| Show the id and details for the investors who have the top 3 number of transactions. Show the proportion. | SELECT T1.Investor_details, T1.investor_id FROM Investors AS T1 JOIN Transactions AS T2 ON T1.investor_id = T2.investor_id ORDER BY COUNT(*) DESC LIMIT 3 | SELECT "T1"."Investor_details", "T1"."investor_id" FROM "Investors" "T1" JOIN "Transactions" "T2" ON "T1"."investor_id" = "T2"."investor_id" ORDER BY COUNT(*) DESC FETCH FIRST 3 ROWS ONLY | 0.182617 |
CREATE TABLE table_name_51 (points NUMBER, touchdowns NUMBER)
| Which Points is the lowest one that has Touchdowns smaller than 1? | SELECT MAX(points) FROM table_name_51 WHERE touchdowns < 1 | SELECT MAX("points") FROM "table_name_51" WHERE "touchdowns" < 1 | 0.0625 |
CREATE TABLE region (region_id NUMBER, region_code CLOB, region_name CLOB)
CREATE TABLE affected_region (region_id NUMBER, storm_id NUMBER, number_city_affected NUMBER)
CREATE TABLE storm (storm_id NUMBER, name CLOB, dates_active CLOB, max_speed NUMBER, damage_millions_usd NUMBER, number_deaths NUMBER)
| Show names for all regions except for Denmark. | SELECT region_name FROM region WHERE region_name <> 'Denmark' | SELECT "region_name" FROM "region" WHERE "region_name" <> 'Denmark' | 0.06543 |
CREATE TABLE table_name_84 (rank NUMBER, floors VARCHAR2)
| What is the average rank for a building with 24 floors? | SELECT AVG(rank) FROM table_name_84 WHERE floors = 24 | SELECT AVG("rank") FROM "table_name_84" WHERE "floors" = 24 | 0.057617 |
CREATE TABLE table_45311 ("Season" FLOAT, "Team 1" CLOB, "Score" CLOB, "Team 2" CLOB, "Venue" CLOB)
| Can you tell me the Season that has the Team 2 of hanoi acb? | SELECT "Season" FROM table_45311 WHERE "Team 2" = 'hanoi acb' | SELECT "Season" FROM "table_45311" WHERE "Team 2" = 'hanoi acb' | 0.061523 |
CREATE TABLE table_35020 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Series" CLOB)
| Who was the opponent at the game with a loss of Sele (0-1)? | SELECT "Opponent" FROM table_35020 WHERE "Loss" = 'sele (0-1)' | SELECT "Opponent" FROM "table_35020" WHERE "Loss" = 'sele (0-1)' | 0.0625 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose age is less than 79 and admission year is less than 2172? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "79" AND demographic.admityear < "2172" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2172" > "demographic"."admityear" AND "79" > "demographic"."age" | 0.136719 |
CREATE TABLE table_50028 ("Season" CLOB, "League" CLOB, "Teams" CLOB, "Home" CLOB, "Away" CLOB)
| Which Season has a League of bezirksliga? | SELECT "Season" FROM table_50028 WHERE "League" = 'bezirksliga' | SELECT "Season" FROM "table_50028" WHERE "League" = 'bezirksliga' | 0.063477 |
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| how many regions were affected by each storm?, display x-axis in asc order. | SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID ORDER BY Name | SELECT "Name", COUNT(*) FROM "storm" "T1" JOIN "affected_region" "T2" ON "T1"."Storm_ID" = "T2"."Storm_ID" GROUP BY "T1"."Storm_ID" ORDER BY "Name" | 0.143555 |
CREATE TABLE table_27862 ("Settlement" CLOB, "Cyrillic Name Other Names" CLOB, "Type" CLOB, "Population ( 2011 ) " FLOAT, "Largest ethnic group ( 2002 ) " CLOB, "Dominant religion ( 2002 ) " CLOB)
| What is the other name for martono ? | SELECT "Cyrillic Name Other Names" FROM table_27862 WHERE "Settlement" = 'Martonoš' | SELECT "Cyrillic Name Other Names" FROM "table_27862" WHERE "Settlement" = 'Martonoš' | 0.083008 |
CREATE TABLE table_name_32 (date VARCHAR2, attendance VARCHAR2, man_of_the_match VARCHAR2)
| What was the date when the attendance was n/a and the Man of the Match was unknown? | SELECT date FROM table_name_32 WHERE attendance = "n/a" AND man_of_the_match = "unknown" | SELECT "date" FROM "table_name_32" WHERE "attendance" = "n/a" AND "man_of_the_match" = "unknown" | 0.09375 |
CREATE TABLE schedule (cinema_id NUMBER, film_id NUMBER, date CLOB, show_times_per_day NUMBER, price NUMBER)
CREATE TABLE cinema (cinema_id NUMBER, name CLOB, openning_year NUMBER, capacity NUMBER, location CLOB)
CREATE TABLE film (film_id NUMBER, rank_in_series NUMBER, number_in_season NUMBER, title CLOB, directed_by CLOB, original_air_date CLOB, production_code CLOB)
| What are the title and director of each film? | SELECT title, directed_by FROM film | SELECT "title", "directed_by" FROM "film" | 0.040039 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| How many different products are produced in each headquarter city. Visualize by bar chart. | SELECT Headquarter, COUNT(DISTINCT T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code | SELECT "Headquarter", COUNT(DISTINCT "T1"."Name") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" | 0.129883 |
CREATE TABLE table_26301697_2 (represents VARCHAR2, contestant VARCHAR2)
| Name the total number of represents for clary sermina delgado cid | SELECT COUNT(represents) FROM table_26301697_2 WHERE contestant = "Clary Sermina Delgado Cid" | SELECT COUNT("represents") FROM "table_26301697_2" WHERE "Clary Sermina Delgado Cid" = "contestant" | 0.09668 |
CREATE TABLE table_name_28 (opponent VARCHAR2, week VARCHAR2)
| What is the Opponent on Week 11? | SELECT opponent FROM table_name_28 WHERE week = 11 | SELECT "opponent" FROM "table_name_28" WHERE "week" = 11 | 0.054688 |
CREATE TABLE table_65485 ("Club" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| What's the highest amount of losses of Camperdown when the against was less than 945? | SELECT MAX("Losses") FROM table_65485 WHERE "Club" = 'camperdown' AND "Against" < '945' | SELECT MAX("Losses") FROM "table_65485" WHERE "Against" < '945' AND "Club" = 'camperdown' | 0.086914 |
CREATE TABLE table_17647 ("#" FLOAT, "Athlete" CLOB, "Shooting" CLOB, "Fencing" CLOB, "Swimming" CLOB, "Riding" CLOB, "Running" CLOB, "Total" FLOAT)
| What is the running of marlene sanchez? | SELECT "Running" FROM table_17647 WHERE "Athlete" = 'Marlene Sanchez' | SELECT "Running" FROM "table_17647" WHERE "Athlete" = 'Marlene Sanchez' | 0.069336 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
| Return the ids and details corresponding to projects for which there are more than two documents by a pie chart. | SELECT T1.Project_Details, T1.Project_ID FROM Projects AS T1 JOIN Documents AS T2 ON T1.Project_ID = T2.Project_ID | SELECT "T1"."Project_Details", "T1"."Project_ID" FROM "Projects" "T1" JOIN "Documents" "T2" ON "T1"."Project_ID" = "T2"."Project_ID" | 0.128906 |
CREATE TABLE table_name_89 (away_team VARCHAR2, venue VARCHAR2)
| Who was the away team at Brunswick Street Oval? | SELECT away_team AS score FROM table_name_89 WHERE venue = "brunswick street oval" | SELECT "away_team" AS "score" FROM "table_name_89" WHERE "brunswick street oval" = "venue" | 0.087891 |
CREATE TABLE table_name_77 (format VARCHAR2, date VARCHAR2)
| Which format is released on May 27, 2009? | SELECT format FROM table_name_77 WHERE date = "may 27, 2009" | SELECT "format" FROM "table_name_77" WHERE "date" = "may 27, 2009" | 0.064453 |
CREATE TABLE table_name_65 (irish_name VARCHAR2, province VARCHAR2, county VARCHAR2)
| Province of leinster, and a County of fingal has which irish name? | SELECT irish_name FROM table_name_65 WHERE province = "leinster" AND county = "fingal" | SELECT "irish_name" FROM "table_name_65" WHERE "county" = "fingal" AND "leinster" = "province" | 0.091797 |
CREATE TABLE table_73202 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "Television order" CLOB)
| what is the original air date of the episode directed by Ben Jones and written by Steven Melching? | SELECT "Original air date" FROM table_73202 WHERE "Directed by" = 'Ben Jones' AND "Written by" = 'Steven Melching' | SELECT "Original air date" FROM "table_73202" WHERE "Directed by" = 'Ben Jones' AND "Written by" = 'Steven Melching' | 0.113281 |
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE vehicles (vehicle_id NUMBER, vehicle_details CLOB)
CREATE TABLE lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code CLOB, staff_id NUMBER, vehicle_id NUMBER, lesson_date TIME, lesson_time CLOB, price NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code CLOB, date_became_customer TIME, date_of_birth TIME, first_name CLOB, last_name CLOB, amount_outstanding NUMBER, email_address CLOB, phone_number CLOB, cell_mobile_phone_number CLOB)
CREATE TABLE customer_payments (customer_id NUMBER, datetime_payment TIME, payment_method_code CLOB, amount_payment NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_address_id NUMBER, nickname CLOB, first_name CLOB, middle_name CLOB, last_name CLOB, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
| How many lessons taught by staff whose first name has letter 'a' in it? | SELECT COUNT(*) FROM lessons AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name LIKE "%a%" | SELECT COUNT(*) FROM "lessons" "T1" JOIN "staff" "T2" ON "T1"."staff_id" = "T2"."staff_id" AND "T2"."first_name" LIKE "%a%" | 0.120117 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| Count answers per tag per year. | SELECT COUNT(a.Id) FROM Posts AS a LEFT JOIN Posts AS p ON a.ParentId = p.Id LEFT JOIN PostTags AS pt ON p.Id = pt.PostId LEFT JOIN Tags AS t ON pt.TagId = t.Id WHERE t.TagName = '##TagName:string##' AND YEAR(p.CreationDate) = 2019 AND p.DeletionDate IS NULL | SELECT COUNT("a"."Id") FROM "Posts" "a" LEFT JOIN "Posts" "p" ON "a"."ParentId" = "p"."Id" LEFT JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" LEFT JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" WHERE "p"."DeletionDate" IS NULL AND "t"."TagName" = '##TagName:string##' AND YEAR("p"."CreationDate") = 2019 | 0.294922 |
CREATE TABLE table_11727969_1 (species_in_the_peruvian_amazon NUMBER, species_in_peru VARCHAR2)
| what's the minimum species in the peruvian amazon with species in peru of 1000 | SELECT MIN(species_in_the_peruvian_amazon) FROM table_11727969_1 WHERE species_in_peru = 1000 | SELECT MIN("species_in_the_peruvian_amazon") FROM "table_11727969_1" WHERE "species_in_peru" = 1000 | 0.09668 |
CREATE TABLE table_204_561 (id NUMBER, "fence" NUMBER, "name" CLOB, "jockey" CLOB, "age" NUMBER, "handicap ( st-lb ) " CLOB, "starting price" CLOB, "fate" CLOB)
| which jockey is before tm jones | SELECT "jockey" FROM table_204_561 WHERE id = (SELECT id FROM table_204_561 WHERE "jockey" = 'tm jones') - 1 | SELECT "jockey" FROM "table_204_561" WHERE "id" = (SELECT "id" FROM "table_204_561" WHERE "jockey" = 'tm jones') - 1 | 0.113281 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
| who publishes in vldb or icml ? | SELECT DISTINCT writes.authorid FROM paper, venue, writes WHERE venue.venueid = paper.venueid AND venue.venuename IN ('vldb', 'icml') AND writes.paperid = paper.paperid GROUP BY writes.authorid | SELECT DISTINCT "writes"."authorid" FROM "paper" JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" IN ('vldb', 'icml') JOIN "writes" ON "paper"."paperid" = "writes"."paperid" GROUP BY "writes"."authorid" | 0.225586 |
CREATE TABLE table_18905 ("Rnd" FLOAT, "Circuit" CLOB, "GTO Winning Team" CLOB, "GTU Winning Team" CLOB, "TO Winning Team" CLOB, "TU Winning Team" CLOB, "Results" CLOB)
| Who is Gene Felton's TO Winning Team? | SELECT "TO Winning Team" FROM table_18905 WHERE "GTO Winning Team" = 'Gene Felton' | SELECT "TO Winning Team" FROM "table_18905" WHERE "GTO Winning Team" = 'Gene Felton' | 0.082031 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Fastest Rep Gainers in Germany. | WITH GermanUsers AS (SELECT Id, Location, AboutMe, CreationDate, LastAccessDate, Reputation, CAST((LastAccessDate - CreationDate) AS FLOAT) AS TimeOnSite FROM Users WHERE LOWER(Location) LIKE '%germany%' OR LOWER(Location) LIKE '%deutschland%') SELECT Id AS "user_link", Location, AboutMe, TimeOnSite, Reputation, (CAST(Reputation AS FLOAT) / TimeOnSite) AS AvgRepPerDay FROM GermanUsers WHERE TimeOnSite > 0 AND YEAR(CreationDate) < 2017 ORDER BY AvgRepPerDay DESC LIMIT 100 | SELECT "Id" AS "user_link", "Location", "AboutMe", "TimeOnSite", "Reputation", CAST("Reputation" AS FLOAT) / NULLIF("TimeOnSite", 0) AS "AvgRepPerDay" FROM "Users" WHERE "TimeOnSite" > 0 AND (LOWER("Location") LIKE '%deutschland%' OR LOWER("Location") LIKE '%germany%') AND YEAR("CreationDate") < 2017 ORDER BY "AvgRepPerDay" DESC FETCH FIRST 100 ROWS ONLY | 0.347656 |
CREATE TABLE table_name_97 (team VARCHAR2, venue VARCHAR2)
| What team plays in Dinamo, Brest? | SELECT team FROM table_name_97 WHERE venue = "dinamo, brest" | SELECT "team" FROM "table_name_97" WHERE "dinamo, brest" = "venue" | 0.064453 |
CREATE TABLE table_46020 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Record" CLOB)
| What is the date that the record was 51-14? | SELECT "Date" FROM table_46020 WHERE "Record" = '51-14' | SELECT "Date" FROM "table_46020" WHERE "Record" = '51-14' | 0.055664 |
CREATE TABLE table_204_175 (id NUMBER, "pos" CLOB, "no." NUMBER, "driver" CLOB, "team" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "laps led" NUMBER, "points" NUMBER)
| scott dixon led how many laps ? | SELECT "laps led" FROM table_204_175 WHERE "driver" = 'scott dixon' | SELECT "laps led" FROM "table_204_175" WHERE "driver" = 'scott dixon' | 0.067383 |
CREATE TABLE table_name_36 (cuts_made NUMBER, tournament VARCHAR2, events VARCHAR2)
| How many cuts did he make at the PGA championship in 3 events? | SELECT MAX(cuts_made) FROM table_name_36 WHERE tournament = "pga championship" AND events > 3 | SELECT MAX("cuts_made") FROM "table_name_36" WHERE "events" > 3 AND "pga championship" = "tournament" | 0.098633 |
CREATE TABLE table_59256 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB, "Position in table" CLOB)
| What kind of Replaced has a Manner of departure of end of contract on dec. 16, 2008? | SELECT "Replaced by" FROM table_59256 WHERE "Manner of departure" = 'end of contract' AND "Date of appointment" = 'dec. 16, 2008' | SELECT "Replaced by" FROM "table_59256" WHERE "Date of appointment" = 'dec. 16, 2008' AND "Manner of departure" = 'end of contract' | 0.12793 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Return a bar chart about the distribution of All_Home and School_ID , and group by attribute ACC_Home, and sort by the y-axis from high to low. | SELECT All_Home, School_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY School_ID DESC | SELECT "All_Home", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "All_Home" ORDER BY "School_ID" DESC | 0.109375 |
CREATE TABLE table_10830 ("Team" CLOB, "Season" CLOB, "Regular Season" FLOAT, "Tournament" FLOAT, "Total" FLOAT)
| What season for the team with over 2 tournaments and 13 regular season titles? | SELECT "Season" FROM table_10830 WHERE "Tournament" > '2' AND "Regular Season" = '13' | SELECT "Season" FROM "table_10830" WHERE "Regular Season" = '13' AND "Tournament" > '2' | 0.084961 |
CREATE TABLE table_75192 ("Surname" CLOB, "First" CLOB, "D.O.B." CLOB, "Uni#" FLOAT, "Bats" CLOB, "Throws" CLOB, "Position" CLOB)
| Which Surname has Throws of l, and a DOB of 5/02/79? | SELECT "Surname" FROM table_75192 WHERE "Throws" = 'l' AND "D.O.B." = '5/02/79' | SELECT "Surname" FROM "table_75192" WHERE "D.O.B." = '5/02/79' AND "Throws" = 'l' | 0.079102 |
CREATE TABLE table_20026849_1 (season VARCHAR2, winner VARCHAR2)
| What season was won by Anthony Yeh? | SELECT season FROM table_20026849_1 WHERE winner = "Anthony Yeh" | SELECT "season" FROM "table_20026849_1" WHERE "Anthony Yeh" = "winner" | 0.068359 |
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
| For each file format, return the number of artists who released songs in that format. Show bar chart. | SELECT formats, COUNT(*) FROM files GROUP BY formats | SELECT "formats", COUNT(*) FROM "files" GROUP BY "formats" | 0.056641 |
CREATE TABLE table_1342379_41 (district VARCHAR2, incumbent VARCHAR2)
| What district does edward everett eslick represent? | SELECT district FROM table_1342379_41 WHERE incumbent = "Edward Everett Eslick" | SELECT "district" FROM "table_1342379_41" WHERE "Edward Everett Eslick" = "incumbent" | 0.083008 |
CREATE TABLE table_name_63 (player VARCHAR2, venue VARCHAR2)
| Who is the player associated with the Esher venue? | SELECT player FROM table_name_63 WHERE venue = "esher" | SELECT "player" FROM "table_name_63" WHERE "esher" = "venue" | 0.058594 |
CREATE TABLE table_name_47 (time VARCHAR2, heat VARCHAR2, lane VARCHAR2)
| What is the time of lane 3 in heat 5? | SELECT time FROM table_name_47 WHERE heat = 5 AND lane = 3 | SELECT "time" FROM "table_name_47" WHERE "heat" = 5 AND "lane" = 3 | 0.064453 |
CREATE TABLE table_44628 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " CLOB)
| What is To Par, when Player is Greg Norman? | SELECT "To par" FROM table_44628 WHERE "Player" = 'greg norman' | SELECT "To par" FROM "table_44628" WHERE "Player" = 'greg norman' | 0.063477 |
CREATE TABLE table_204_185 (id NUMBER, "location" CLOB, "town" CLOB, "output ( mw ac ) " NUMBER, "modules" NUMBER, "number of arrays" NUMBER)
| what was the number of arrays of the riverhead county center project location ? | SELECT "number of arrays" FROM table_204_185 WHERE "location" = 'riverhead county center' | SELECT "number of arrays" FROM "table_204_185" WHERE "location" = 'riverhead county center' | 0.088867 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| Is there any professor other than Prof. Lindsay who teaches Livy ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Livy%' AND NOT instructor.name LIKE '%Lindsay%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "instructor"."name" 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 NOT "instructor"."name" LIKE '%Lindsay%' WHERE "course"."name" LIKE '%Livy%' | 0.447266 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| for the first time, what procedure did during their first hospital encounter patient 031-4423 receive? | SELECT treatment.treatmentname FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-4423' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) ORDER BY treatment.treatmenttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-4423' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmentname" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" FETCH FIRST 1 ROWS ONLY | 0.662109 |
CREATE TABLE table_50514 ("Rank" FLOAT, "Name" CLOB, "Team ( s ) " CLOB, "Birth date" CLOB, "Death date" CLOB, "Age ( as of 1 February 2014 ) " CLOB, "Nationality" CLOB)
| Who is at rank 9? | SELECT "Name" FROM table_50514 WHERE "Rank" = '9' | SELECT "Name" FROM "table_50514" WHERE "Rank" = '9' | 0.049805 |
CREATE TABLE table_9781 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the Attendance after Week 8 with a Result of W 42 0? | SELECT MAX("Attendance") FROM table_9781 WHERE "Week" > '8' AND "Result" = 'w 42–0' | SELECT MAX("Attendance") FROM "table_9781" WHERE "Result" = 'w 42–0' AND "Week" > '8' | 0.083008 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose admission type is urgent and drug name is heparin (preservative free)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Heparin (Preservative Free)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Heparin (Preservative Free)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.245117 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what is the top four of the frequent input event since 2103? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE STRFTIME('%y', inputevents_cv.charttime) >= '2103' GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "inputevents_cv" WHERE STRFTIME('%y', "inputevents_cv"."charttime") >= '2103' GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.420898 |
CREATE TABLE table_10346 ("D 50 \\u221a" CLOB, "D 49 \\u221a" CLOB, "D 48 \\u221a" CLOB, "D 47 \\u221a" CLOB, "D 46 \\u221a" CLOB, "D 45 \\u221a" CLOB, "D 44 \\u221a" CLOB, "D 43 \\u221a" CLOB, "D 42 \\u221a" CLOB, "D 41 \\u221a" CLOB)
| What is the D 46 when the D 44 is majority? | SELECT "D 46 \u221a" FROM table_10346 WHERE "D 44 \u221a" = '← majority' | SELECT "D 46 \u221a" FROM "table_10346" WHERE "D 44 \u221a" = '← majority' | 0.072266 |
CREATE TABLE table_29136 ("English" CLOB, "Proto-Semitic" CLOB, "IPA" CLOB, "Arabic" CLOB, "Hebrew" CLOB, "Tigrinya" CLOB, "Sabaean" CLOB)
| Name the arabic for amu te | SELECT "Arabic" FROM table_29136 WHERE "Tigrinya" = 'ħamuʃte' | SELECT "Arabic" FROM "table_29136" WHERE "Tigrinya" = 'ħamuʃte' | 0.061523 |
CREATE TABLE table_8369 ("Date" CLOB, "Home" CLOB, "Score" CLOB, "Away" CLOB, "Attendance" FLOAT)
| What is the Score when Deportes Savio is the Home team? | SELECT "Score" FROM table_8369 WHERE "Home" = 'deportes savio' | SELECT "Score" FROM "table_8369" WHERE "Home" = 'deportes savio' | 0.0625 |
CREATE TABLE table_56040 ("Date" CLOB, "Venue" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Series" CLOB)
| Name the decision for boston bruins visitor | SELECT "Decision" FROM table_56040 WHERE "Visitor" = 'boston bruins' | SELECT "Decision" FROM "table_56040" WHERE "Visitor" = 'boston bruins' | 0.068359 |
CREATE TABLE table_name_57 (city VARCHAR2, icao VARCHAR2)
| In what city is RJSN located? | SELECT city FROM table_name_57 WHERE icao = "rjsn" | SELECT "city" FROM "table_name_57" WHERE "icao" = "rjsn" | 0.054688 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and age is less than 62? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.age < "62" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "62" > "demographic"."age" AND "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" = "demographic"."diagnosis" | 0.189453 |
CREATE TABLE table_18209 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| how many candidates with party being democratic and dbeingtrict being new york5 | SELECT COUNT("Candidates") FROM table_18209 WHERE "Party" = 'Democratic' AND "District" = 'New York5' | SELECT COUNT("Candidates") FROM "table_18209" WHERE "District" = 'New York5' AND "Party" = 'Democratic' | 0.100586 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| what ground transport is available in CHARLOTTE | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'CHARLOTTE' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'CHARLOTTE' | 0.170898 |
CREATE TABLE table_16432543_1 (location VARCHAR2, established VARCHAR2)
| What is the location of the school established in 1923 | SELECT location FROM table_16432543_1 WHERE established = 1923 | SELECT "location" FROM "table_16432543_1" WHERE "established" = 1923 | 0.066406 |
CREATE TABLE table_name_90 (opponents_in_the_final VARCHAR2, score VARCHAR2)
| Tell me the opponents for score of 6-1 2-6 7-10 | SELECT opponents_in_the_final FROM table_name_90 WHERE score = "6-1 2-6 7-10" | SELECT "opponents_in_the_final" FROM "table_name_90" WHERE "6-1 2-6 7-10" = "score" | 0.081055 |
CREATE TABLE table_6072 ("Medal" CLOB, "Name" CLOB, "Games" CLOB, "Sport" CLOB, "Event" CLOB)
| What is the medal for the Men's Giant Slalom event? | SELECT "Medal" FROM table_6072 WHERE "Event" = 'men''s giant slalom' | SELECT "Medal" FROM "table_6072" WHERE "Event" = 'men''s giant slalom' | 0.068359 |
CREATE TABLE table_44094 ("Usage" CLOB, "Class" CLOB, "Performance" CLOB, "Performance test" CLOB, "Particulate size approaching 100% retention" CLOB, "Test Standard" CLOB)
| Which Test Standard has a Usage of secondary filters, and a Class of f5? Question 4 | SELECT "Test Standard" FROM table_44094 WHERE "Usage" = 'secondary filters' AND "Class" = 'f5' | SELECT "Test Standard" FROM "table_44094" WHERE "Class" = 'f5' AND "Usage" = 'secondary filters' | 0.09375 |
CREATE TABLE table_18309 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| What other cadidate ran against Dave Treen? | SELECT "Candidates" FROM table_18309 WHERE "Incumbent" = 'Dave Treen' | SELECT "Candidates" FROM "table_18309" WHERE "Incumbent" = 'Dave Treen' | 0.069336 |
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| i need a flight from NEW YORK to MONTREAL THURSDAY 5 24 arriving before 1200 | 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 AS DAYS_0, days AS DAYS_1, flight WHERE (((DAYS_1.day_name = 'THURSDAY' AND flight.arrival_time <= 1200 AND flight.flight_days = DAYS_1.days_code) AND date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND DAYS_0.day_name = date_day.day_name AND flight.flight_days = DAYS_0.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MONTREAL' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 24 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NEW YORK' JOIN "days" "DAYS_0" ON "DAYS_0"."day_name" = "date_day"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_0"."days_code" = "flight"."flight_days" AND "flight"."arrival_time" <= 1200 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" "DAYS_1" ON "DAYS_1"."day_name" = 'THURSDAY' AND "DAYS_1"."days_code" = "flight"."flight_days" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MONTREAL' | 0.847656 |
CREATE TABLE table_50689 ("Position" FLOAT, "Name" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| Who had points smaller than 22 and a drawn of 2? | SELECT "Name" FROM table_50689 WHERE "Points" < '22' AND "Drawn" = '2' | SELECT "Name" FROM "table_50689" WHERE "Drawn" = '2' AND "Points" < '22' | 0.070313 |
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| Which classes are educated by Dr. Linda Mokdad ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Linda Mokdad%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 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 '%Linda Mokdad%' | 0.560547 |
CREATE TABLE table_44360 ("Tournament" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "Career SR" CLOB, "Career win-loss" CLOB)
| What is 1999, when 2003 is 'A', and when Career SR is '0 / 4'? | SELECT "1999" FROM table_44360 WHERE "2003" = 'a' AND "Career SR" = '0 / 4' | SELECT "1999" FROM "table_44360" WHERE "2003" = 'a' AND "Career SR" = '0 / 4' | 0.075195 |
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