NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Bar graph to show how many nationality from different nationality, and order Nationality in asc order. | CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
) | SELECT Nationality, COUNT(Nationality) FROM ship GROUP BY Nationality ORDER BY Nationality | [
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how many patients whose language is span and religion is greek orthodox? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.religion = "GREEK ORTHODOX" | [
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What was Fuzzy Zoeller's score in the United States? | CREATE TABLE table_9624 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Score" FROM table_9624 WHERE "Country" = 'united states' AND "Player" = 'fuzzy zoeller' | [
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Tell me the pitcher on september 6, 2006 | CREATE TABLE table_name_8 (
pitcher VARCHAR,
date VARCHAR
) | SELECT pitcher FROM table_name_8 WHERE date = "september 6, 2006" | [
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How many episodes are there for the three darts challenge with Sharon Osbourne? | CREATE TABLE table_26733129_1 (episode_number INTEGER, three_darts_challenge VARCHAR) | SELECT MAX(episode_number) FROM table_26733129_1 WHERE three_darts_challenge = "Sharon Osbourne" | [
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Find the titles of items that received both a rating higher than 8 and a rating below 5. | CREATE TABLE item (title VARCHAR, i_id VARCHAR); CREATE TABLE review (i_id VARCHAR, rating INTEGER) | SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating > 8 INTERSECT SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating < 5 | [
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Display a pie chart for how many stores are headquarted in each city? | CREATE TABLE store_product (
Store_ID int,
Product_ID int
)
CREATE TABLE store (
Store_ID int,
Store_Name text,
Type text,
Area_size real,
Number_of_product_category real,
Ranking int
)
CREATE TABLE store_district (
Store_ID int,
District_ID int
)
CREATE TABLE product (
product_id int,
product text,
dimensions text,
dpi real,
pages_per_minute_color real,
max_page_size text,
interface text
)
CREATE TABLE district (
District_ID int,
District_name text,
Headquartered_City text,
City_Population real,
City_Area real
) | SELECT Headquartered_City, COUNT(*) FROM store AS t1 JOIN store_district AS t2 ON t1.Store_ID = t2.Store_ID JOIN district AS t3 ON t2.District_ID = t3.District_ID GROUP BY t3.Headquartered_City | [
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List the year in which the driver was in 1st place. | CREATE TABLE table_25561038_1 (
season VARCHAR,
position VARCHAR
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Which home team played against Stoke City? | CREATE TABLE table_name_91 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team FROM table_name_91 WHERE away_team = "stoke city" | [
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provide the number of unknown/not specified ethnic background patients who had calculated hematocrit lab test done. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "UNKNOWN/NOT SPECIFIED" AND lab.label = "Hematocrit, Calculated" | [
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What was the average finish in 2007? | CREATE TABLE table_2182573_2 (
avg_finish VARCHAR,
year VARCHAR
) | SELECT avg_finish FROM table_2182573_2 WHERE year = 2007 | [
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How many players held the high point records for game 34? | CREATE TABLE table_27698941_8 (
high_points VARCHAR,
game VARCHAR
) | SELECT COUNT(high_points) FROM table_27698941_8 WHERE game = 34 | [
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which nation came in first place ? | CREATE TABLE table_204_383 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
) | SELECT "nation" FROM table_204_383 WHERE "rank" = 1 | [
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What is the series number for Season #18? | CREATE TABLE table_12564633_1 (series__number INTEGER, season__number VARCHAR) | SELECT MIN(series__number) FROM table_12564633_1 WHERE season__number = 18 | [
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Record of 21 29 10 had what total number of points? | CREATE TABLE table_name_2 (
points VARCHAR,
record VARCHAR
) | SELECT COUNT(points) FROM table_name_2 WHERE record = "21–29–10" | [
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how many patients are diagnosed with icd9 code 5770 and suggested with additive drug type? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "5770" AND prescriptions.drug_type = "ADDITIVE" | [
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Which accolade has USA as the country, with a year less than 2009? | CREATE TABLE table_name_61 (
accolade VARCHAR,
country VARCHAR,
year VARCHAR
) | SELECT accolade FROM table_name_61 WHERE country = "usa" AND year < 2009 | [
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Who was the opponent that also has a save of Smith (26)? | CREATE TABLE table_name_53 (opponent VARCHAR, save VARCHAR) | SELECT opponent FROM table_name_53 WHERE save = "smith (26)" | [
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who had high points on march 27? | CREATE TABLE table_27722734_10 (high_points VARCHAR, date VARCHAR) | SELECT high_points FROM table_27722734_10 WHERE date = "March 27" | [
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What is Craig Whelihan's average when his yards are smaller than 0? | CREATE TABLE table_name_76 (avg INTEGER, player VARCHAR, yards VARCHAR) | SELECT SUM(avg) FROM table_name_76 WHERE player = "craig whelihan" AND yards < 0 | [
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Who sponsors Middlesbrough? | CREATE TABLE table_33131 (
"Team" text,
"Manager" text,
"Captain" text,
"Kit maker" text,
"Shirt sponsor" text
) | SELECT "Shirt sponsor" FROM table_33131 WHERE "Team" = 'middlesbrough' | [
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Where did the team play and what was the attendance against new jersey? | CREATE TABLE table_13619135_7 (
location_attendance VARCHAR,
team VARCHAR
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What was the SlNo no of contact person SDE (P), Thiruppattur? | CREATE TABLE table_25383715_1 (
slno VARCHAR,
contact_person VARCHAR
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What place is associated with under 28 points, under 11 games lost, and under 18 games played? | CREATE TABLE table_name_71 (place INTEGER, played VARCHAR, points VARCHAR, lost VARCHAR) | SELECT SUM(place) FROM table_name_71 WHERE points < 28 AND lost < 11 AND played < 18 | [
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What is the percentage of the Labour Party on the Harris Poll | CREATE TABLE table_159614_2 (
harris VARCHAR,
party VARCHAR
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What is the sum of Races, when Podiums is less than 3, when Wins is 0, when Season is after 2001, and when Points is 32? | CREATE TABLE table_name_82 (races INTEGER, points VARCHAR, season VARCHAR, podiums VARCHAR, wins VARCHAR) | SELECT SUM(races) FROM table_name_82 WHERE podiums < 3 AND wins = 0 AND season > 2001 AND points = "32" | [
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what is the record for years 2006-11? | CREATE TABLE table_name_92 (record VARCHAR, years VARCHAR) | SELECT record FROM table_name_92 WHERE years = "2006-11" | [
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How many wins happened with 8 draws? | CREATE TABLE table_38796 (
"Season" text,
"Team" text,
"Wins" text,
"Losses" text,
"Draws" text
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What is the To par for the player that won in 2003, with a total larger than 145? | CREATE TABLE table_name_65 (
to_par VARCHAR,
year_s__won VARCHAR,
total VARCHAR
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Find the status of orders which belong to the customer named 'Jeramie', group by order status, and show the proportion of order status with a pie chart. | CREATE TABLE Shipment_Items (
shipment_id INTEGER,
order_item_id INTEGER
)
CREATE TABLE Products (
product_id INTEGER,
product_name VARCHAR(80),
product_details VARCHAR(255)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
product_id INTEGER,
order_id INTEGER,
order_item_status VARCHAR(10),
order_item_details VARCHAR(255)
)
CREATE TABLE Shipments (
shipment_id INTEGER,
order_id INTEGER,
invoice_number INTEGER,
shipment_tracking_number VARCHAR(80),
shipment_date DATETIME,
other_shipment_details VARCHAR(255)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
invoice_date DATETIME,
invoice_details VARCHAR(255)
)
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
order_status VARCHAR(10),
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_name VARCHAR(80),
customer_details VARCHAR(255)
) | SELECT T2.order_status, COUNT(T2.order_status) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie" GROUP BY order_status | [
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What is the lowest Digital PSIP for channels over 29 with callsign CFTU-DT? | CREATE TABLE table_name_81 (
digital_psip INTEGER,
call_sign VARCHAR,
broadcast_channel VARCHAR
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What is the total number of losses of the team with games less than 14, wins less than 3, in the Maac Conference at Fairfield School? | CREATE TABLE table_44082 (
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"Games" real,
"Wins" real,
"Losses" real,
"Winning Pct." real
) | SELECT COUNT("Losses") FROM table_44082 WHERE "Games" < '14' AND "Wins" < '3' AND "Conference" = 'maac' AND "School" = 'fairfield' | [
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What is the name of the high schooler who has the greatest number of likes? | CREATE TABLE Likes (student_id VARCHAR); CREATE TABLE Highschooler (name VARCHAR, id VARCHAR) | SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 | [
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What week did September 29 fall in? | CREATE TABLE table_23601267_2 (
week VARCHAR,
date VARCHAR
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what's the average grid that has a time/retired piston and laps smaller than 15? | CREATE TABLE table_56595 (
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If the public is 4, what is the total? | CREATE TABLE table_26375386_17 (
total VARCHAR,
public VARCHAR
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How many weeks are shown for the champion of john mcenroe 6 2, 6 3? | CREATE TABLE table_24492 (
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"Champion" text,
"Runner-up" text,
"Semifinalists" text,
"Quarterfinalists" text
) | SELECT COUNT("Week of") FROM table_24492 WHERE "Champion" = 'John McEnroe 6–2, 6–3' | [
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What was the record in the game in which Jeff Green (14) did the most high rebounds? | CREATE TABLE table_23286112_6 (record VARCHAR, high_rebounds VARCHAR) | SELECT record FROM table_23286112_6 WHERE high_rebounds = "Jeff Green (14)" | [
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What's the score at the October 30, 1996 1998 fifa world cup qualification with a result of win? | CREATE TABLE table_name_58 (score VARCHAR, date VARCHAR, result VARCHAR, competition VARCHAR) | SELECT score FROM table_name_58 WHERE result = "win" AND competition = "1998 fifa world cup qualification" AND date = "october 30, 1996" | [
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When was the first election in the district whose incumbent is Ron Kind? | CREATE TABLE table_18134 (
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"First elected" real,
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"Candidates" text
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What is the type that ends in 2009? | CREATE TABLE table_name_32 (
type VARCHAR,
ends VARCHAR
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platelets >= 100000 / mm3 | CREATE TABLE table_dev_35 (
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"white_blood_cell_count_wbc" int,
"platelets" int,
"neutrophil_count" int,
"serum_creatinine" float,
"albumin" float,
"NOUSE" float
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Which Series 2 has a Series 3 of deborah meaden? | CREATE TABLE table_78694 (
"Seat Order (Right to Left)" real,
"Series 1" text,
"Series 2" text,
"Series 3" text,
"Series 5" text,
"Series 9" text,
"Series 11" text
) | SELECT "Series 2" FROM table_78694 WHERE "Series 3" = 'deborah meaden' | [
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What driver went 59 laps on grid 11? | CREATE TABLE table_name_57 (driver VARCHAR, laps VARCHAR, grid VARCHAR) | SELECT driver FROM table_name_57 WHERE laps = 59 AND grid = 11 | [
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For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name by a bar chart, and display in asc by the Y. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code | [
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What is the amount of trees, that require replacement when the district is motovilikhinsky? | CREATE TABLE table_10342194_3 (amount_of_trees VARCHAR, _that_require_replacement VARCHAR, district VARCHAR) | SELECT amount_of_trees, _that_require_replacement FROM table_10342194_3 WHERE district = "Motovilikhinsky" | [
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give the number of patients whose diagnosis long title is other and unspecified coagulation defects. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Other and unspecified coagulation defects" | [
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What was the site of the game against Buffalo Bills ? | CREATE TABLE table_14875671_1 (
game_site VARCHAR,
opponent VARCHAR
) | SELECT game_site FROM table_14875671_1 WHERE opponent = "Buffalo Bills" | [
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What type of surface did Thomaz Bellucci play against tommy robredo? | CREATE TABLE table_name_66 (surface VARCHAR, opponent VARCHAR) | SELECT surface FROM table_name_66 WHERE opponent = "tommy robredo" | [
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What is the probable future word for the simple present/future word high grade? | CREATE TABLE table_48152 (
"!Simple Present/Future" text,
"Probable Future" text,
"Simple Past" text,
"Past Habitual" text,
"Injunctive" text,
"Imperative" text
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When the network mask is 255.255.255.252 what is the prefix size? | CREATE TABLE table_149426_4 (
prefix_size VARCHAR,
network_mask VARCHAR
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How many seasons have the production code 7.01 for an episode? | CREATE TABLE table_24882 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text
) | SELECT MAX("No. in season") FROM table_24882 WHERE "Production code" = '7.01' | [
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after the championship in the hague , netherlands , where were the next championship held ? | CREATE TABLE table_204_445 (
id number,
"year" number,
"competition" text,
"venue" text,
"position" text,
"notes" text
) | SELECT "venue" FROM table_204_445 WHERE id = (SELECT id FROM table_204_445 WHERE "venue" = 'the hague, netherlands') + 1 | [
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What CFL team got the player from york? | CREATE TABLE table_30263 (
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What is the region for the date November 18, 2002? | CREATE TABLE table_name_76 (
region VARCHAR,
date VARCHAR
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What was the highest average for the contestant having an interview score of 8.46? | CREATE TABLE table_53906 (
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"Interview" real,
"Swimsuit" real,
"Evening gown" real,
"Average" real
) | SELECT MAX("Average") FROM table_53906 WHERE "Interview" = '8.46' | [
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What dates was the falken tasmania challenge race that had triple eight race engineering as the team? | CREATE TABLE table_20884163_2 (date VARCHAR, team VARCHAR, race_title VARCHAR) | SELECT date FROM table_20884163_2 WHERE team = "Triple Eight Race Engineering" AND race_title = "Falken Tasmania Challenge" | [
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How many episodes in the season had the title, 'first blood'? | CREATE TABLE table_31009 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
) | SELECT COUNT("No. in season") FROM table_31009 WHERE "Title" = 'First Blood' | [
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What is the lowest number in the Labour Party for the Fianna Fail higher than 5? | CREATE TABLE table_name_16 (labour_party INTEGER, fianna_fáil INTEGER) | SELECT MIN(labour_party) FROM table_name_16 WHERE fianna_fáil > 5 | [
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Name the languages for estonia | CREATE TABLE table_21133193_1 (
languages VARCHAR,
member_countries VARCHAR
) | SELECT languages FROM table_21133193_1 WHERE member_countries = "Estonia" | [
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What was the max points you when when you place 9th? | CREATE TABLE table_17289224_1 (points INTEGER, final_placing VARCHAR) | SELECT MAX(points) FROM table_17289224_1 WHERE final_placing = "9th" | [
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what is the number of patients whose discharge location is snf and procedure icd9 code is 9961? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SNF" AND procedures.icd9_code = "9961" | [
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get the marital status and ethnic background for the patient with patient id 76446. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT demographic.marital_status, demographic.ethnicity FROM demographic WHERE demographic.subject_id = "76446" | [
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calculate the maximum age of patients who had emergency type hospital admission and died before 2183. | 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 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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT MAX(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dod_year < "2183.0" | [
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Who was the runner up when the won by 4 strokes? | CREATE TABLE table_21649285_2 (
runner_s__up VARCHAR,
margin_of_victory VARCHAR
) | SELECT runner_s__up FROM table_21649285_2 WHERE margin_of_victory = "4 strokes" | [
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Which January has a Score of 7 4, and a Game smaller than 42? | CREATE TABLE table_75647 (
"Game" real,
"January" real,
"Opponent" text,
"Score" text,
"Record" text,
"Points" real
) | SELECT SUM("January") FROM table_75647 WHERE "Score" = '7–4' AND "Game" < '42' | [
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What is the second leg for Team 1 Servette? | CREATE TABLE table_name_54 (team_1 VARCHAR) | SELECT 2 AS nd_leg FROM table_name_54 WHERE team_1 = "servette" | [
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How many years was Jiyai Shin the champion? | CREATE TABLE table_72662 (
"Year" real,
"Dates" text,
"Champion" text,
"Country" text,
"Score" text,
"To par" text,
"Margin of victory" text,
"Purse ( US$ )" real,
"Winners share" real
) | SELECT COUNT("Year") FROM table_72662 WHERE "Champion" = 'Jiyai Shin' | [
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which institutions can be categorized as private/united church of christ? | CREATE TABLE table_261895_1 (
institution VARCHAR,
type VARCHAR
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What is the project id and detail for the project with at least two documents. Plot them as bar chart. | CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
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How many games had red star as the runner up? | CREATE TABLE table_26455614_1 (
attendance VARCHAR,
runner_up VARCHAR
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What is the departure for Peterborough East whose arrival time is 12.40? | CREATE TABLE table_18332845_2 (departure VARCHAR, going_to VARCHAR, arrival VARCHAR) | SELECT departure FROM table_18332845_2 WHERE going_to = "Peterborough East" AND arrival = "12.40" | [
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Who was the visitor on April 2? | CREATE TABLE table_name_7 (
visitor VARCHAR,
date VARCHAR
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Who directed Bunker Hill Bunny? | CREATE TABLE table_79470 (
"Title" text,
"Series" text,
"Director" text,
"Release date" text,
"reissue?" text
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Name the winning party 2007 for result of labour hold and swing to gain less than 7.11 for wrexham | CREATE TABLE table_name_60 (winning_party_2007 VARCHAR, constituency VARCHAR, result VARCHAR, swing_to_gain VARCHAR) | SELECT winning_party_2007 FROM table_name_60 WHERE result = "labour hold" AND swing_to_gain < 7.11 AND constituency = "wrexham" | [
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WHich Places have a score smaller than 69? | CREATE TABLE table_name_12 (
place VARCHAR,
score INTEGER
) | SELECT place FROM table_name_12 WHERE score < 69 | [
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Name the population for kolut | CREATE TABLE table_2562572_22 (population__2011_ VARCHAR, settlement VARCHAR) | SELECT COUNT(population__2011_) FROM table_2562572_22 WHERE settlement = "Kolut" | [
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What is Weight, when Length is 1168mm / 46 in? | CREATE TABLE table_77027 (
"Nation" text,
"Model" text,
"Length" text,
"Barrel length" text,
"Weight" text
) | SELECT "Weight" FROM table_77027 WHERE "Length" = '1168mm / 46 in' | [
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What was the final result when the Mountaineers scored less than 13 and their opponents scored 26? | CREATE TABLE table_name_32 (result VARCHAR, points_for VARCHAR, points_against VARCHAR) | SELECT result FROM table_name_32 WHERE points_for < 13 AND points_against = 26 | [
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what is diagnoses short title and diagnoses long title of subject id 18077? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "18077" | [
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What was the hometown of the player who attended Athens Drive High School? | CREATE TABLE table_11677100_5 (
hometown VARCHAR,
school VARCHAR
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Who was on Jason's team for the 12 June 2009 episode? | CREATE TABLE table_23292220_8 (
jasons_team VARCHAR,
first_broadcast VARCHAR
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What was the result for the Bafta Tv award? | CREATE TABLE table_44325 (
"Year" real,
"Award" text,
"Category" text,
"Nominated work" text,
"Result" text
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Name the total number of ERP/Power W for frequency of 89.3 fm and facility ID less than 40430 | CREATE TABLE table_71971 (
"Call sign" text,
"Frequency" text,
"City of license" text,
"Facility ID" real,
"ERP / Power W" real,
"Height m ( ft )" text,
"Class" text
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who is the the pole position with date being august 10 | CREATE TABLE table_14638077_2 (
pole_position VARCHAR,
date VARCHAR
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What is the most minimal Final year that has a Notes of replaced by i-75 and m-25, and a First year larger than 1926? | CREATE TABLE table_8473 (
"South or west terminus" text,
"North or east terminus" text,
"First year" real,
"Final year" real,
"Notes" text
) | SELECT MIN("Final year") FROM table_8473 WHERE "Notes" = 'replaced by i-75 and m-25' AND "First year" > '1926' | [
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Name the most numbers dam and gnis query link for borough or census area for fairbanks north star | CREATE TABLE table_73050 (
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"# s Lake and GNIS query Link" real,
"# s Reservoir and GNIS query Link" real,
"Borough or Census area" text,
"Comment" text
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What is the largest season with a Third Driver of jimmy davies? | CREATE TABLE table_67504 (
"Season" real,
"Cars Entered" real,
"Winning Driver" text,
"Second Driver" text,
"Third Driver" text,
"Race Report" text
) | SELECT MAX("Season") FROM table_67504 WHERE "Third Driver" = 'jimmy davies' | [
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When Butler one the regular season who was the conference player of the year? | CREATE TABLE table_3027 (
"Conference" text,
"Regular Season Winner" text,
"Conference Player of the Year" text,
"Conference Tournament" text,
"Tournament Venue (City)" text,
"Tournament Winner" text
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What was the location in 2009? | CREATE TABLE table_name_50 (
location VARCHAR,
year VARCHAR
) | SELECT location FROM table_name_50 WHERE year = "2009" | [
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what is date of death of subject id 9271? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
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Count the total number of available services. | CREATE TABLE services (
service_id number,
service_name text
)
CREATE TABLE settlements (
settlement_id number,
claim_id number,
effective_date time,
settlement_amount number
)
CREATE TABLE claims (
claim_id number,
fnol_id number,
effective_date time
)
CREATE TABLE available_policies (
policy_id number,
policy_type_code text,
customer_phone text
)
CREATE TABLE first_notification_of_loss (
fnol_id number,
customer_id number,
policy_id number,
service_id number
)
CREATE TABLE customers (
customer_id number,
customer_name text
)
CREATE TABLE customers_policies (
customer_id number,
policy_id number,
date_opened time,
date_closed time
) | SELECT COUNT(*) FROM services | [
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Draw a bar chart of last name versus department_id | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
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For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, list from low to high by the names. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
) | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID | [
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Name the number of mens doubles for 2004/2005 | CREATE TABLE table_17526 (
"Season" text,
"Mens singles" text,
"Womens singles" text,
"Mens doubles" text,
"Womens doubles" text,
"Mixed doubles" text
) | SELECT COUNT("Mens doubles") FROM table_17526 WHERE "Season" = '2004/2005' | [
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Who is the incumbent in district Texas 15? | CREATE TABLE table_1341707_45 (
incumbent VARCHAR,
district VARCHAR
) | SELECT incumbent FROM table_1341707_45 WHERE district = "Texas 15" | [
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Which series had a title of Boyhood Daze? | CREATE TABLE table_name_78 (
series VARCHAR,
title VARCHAR
) | SELECT series FROM table_name_78 WHERE title = "boyhood daze" | [
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What is the fewest number of top-25s for events with more than 13 cuts made? | CREATE TABLE table_79680 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-25" real,
"Events" real,
"Cuts made" real
) | SELECT MIN("Top-25") FROM table_79680 WHERE "Cuts made" > '13' | [
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What is the total number of points for a total pld less than 38? | CREATE TABLE table_name_24 (total_pts VARCHAR, total_pld INTEGER) | SELECT COUNT(total_pts) FROM table_name_24 WHERE total_pld < 38 | [
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How big is the Venue of Brunswick Street Oval? | CREATE TABLE table_name_47 (
crowd INTEGER,
venue VARCHAR
) | SELECT SUM(crowd) FROM table_name_47 WHERE venue = "brunswick street oval" | [
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