Datasets:
HusnaManakkot
/
haispider

Dataset card Data Studio Files Community
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4
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18
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customers_and_invoices
SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number
How many transactions correspond to each invoice number?
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[ "How", "many", "transactions", "correspond", "to", "each", "invoice", "number", "?" ]
customers_and_invoices
SELECT T2.invoice_number , T2.invoice_date FROM Financial_transactions AS T1 JOIN Invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number ORDER BY count(*) DESC LIMIT 1
What is the invoice number and invoice date for the invoice with most number of transactions?
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[ "What", "is", "the", "invoice", "number", "and", "invoice", "date", "for", "the", "invoice", "with", "most", "number", "of", "transactions", "?" ]
customers_and_invoices
SELECT T2.invoice_number , T2.invoice_date FROM Financial_transactions AS T1 JOIN Invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number ORDER BY count(*) DESC LIMIT 1
What is the invoice number and invoice date corresponding to the invoice with the greatest number of transactions?
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customers_and_invoices
SELECT count(*) FROM Invoices
How many invoices do we have?
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[ "select", "count", "(", "*", ")", "from", "invoices" ]
[ "How", "many", "invoices", "do", "we", "have", "?" ]
customers_and_invoices
SELECT count(*) FROM Invoices
Count the number of invoices.
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[ "select", "count", "(", "*", ")", "from", "invoices" ]
[ "Count", "the", "number", "of", "invoices", "." ]
customers_and_invoices
SELECT T1.invoice_date , T1.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id
Show invoice dates and order id and details for all invoices.
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[ "Show", "invoice", "dates", "and", "order", "id", "and", "details", "for", "all", "invoices", "." ]
customers_and_invoices
SELECT T1.invoice_date , T1.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id
What are the invoice dates, order ids, and order details for all invoices?
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customers_and_invoices
SELECT order_id , count(*) FROM Invoices GROUP BY order_id
Show the order ids and the number of invoices for each order.
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customers_and_invoices
SELECT order_id , count(*) FROM Invoices GROUP BY order_id
How many invoices correspond to each order id?
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customers_and_invoices
SELECT T2.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id GROUP BY T2.order_id HAVING count(*) > 2
What is the order id and order details for the order more than two invoices.
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customers_and_invoices
SELECT T2.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id GROUP BY T2.order_id HAVING count(*) > 2
Return the order ids and details for orderes with two or more invoices.
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customers_and_invoices
SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
What is the customer last name, id and phone number with most number of orders?
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customers_and_invoices
SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
Return the last name, id and phone number of the customer who has made the greatest number of orders.
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customers_and_invoices
SELECT product_name FROM Products EXCEPT SELECT T1.product_name FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id
Show all product names without an order.
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[ "Show", "all", "product", "names", "without", "an", "order", "." ]
customers_and_invoices
SELECT product_name FROM Products EXCEPT SELECT T1.product_name FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id
What are the names of products that have never been ordered?
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customers_and_invoices
SELECT T2.product_name , sum(T1.product_quantity) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name
Show all product names and the total quantity ordered for each product name.
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customers_and_invoices
SELECT T2.product_name , sum(T1.product_quantity) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name
What are the different product names, and what is the sum of quantity ordered for each product?
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customers_and_invoices
SELECT order_id , count(*) FROM Order_items GROUP BY order_id
Show the order ids and the number of items in each order.
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customers_and_invoices
SELECT order_id , count(*) FROM Order_items GROUP BY order_id
How many order items correspond to each order id?
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customers_and_invoices
SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id
Show the product ids and the number of unique orders containing each product.
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customers_and_invoices
SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id
How many distinct order ids correspond to each product?
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customers_and_invoices
SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name
Show all product names and the number of customers having an order on each product.
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customers_and_invoices
SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name
What are teh names of the different products, as well as the number of customers who have ordered each product.
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customers_and_invoices
SELECT order_id , count(DISTINCT product_id) FROM Order_items GROUP BY order_id
Show order ids and the number of products in each order.
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[ "select", "order_id", ",", "count", "(", "distinct", "product_id", ")", "from", "order_items", "group", "by", "order_id" ]
[ "Show", "order", "ids", "and", "the", "number", "of", "products", "in", "each", "order", "." ]
customers_and_invoices
SELECT order_id , count(DISTINCT product_id) FROM Order_items GROUP BY order_id
How many different products correspond to each order id?
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[ "select", "order_id", ",", "count", "(", "distinct", "product_id", ")", "from", "order_items", "group", "by", "order_id" ]
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customers_and_invoices
SELECT order_id , sum(product_quantity) FROM Order_items GROUP BY order_id
Show order ids and the total quantity in each order.
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[ "select", "order_id", ",", "sum", "(", "product_quantity", ")", "from", "order_items", "group", "by", "order_id" ]
[ "Show", "order", "ids", "and", "the", "total", "quantity", "in", "each", "order", "." ]
customers_and_invoices
SELECT order_id , sum(product_quantity) FROM Order_items GROUP BY order_id
Give the order ids for all orders, as well as the total product quantity in each.
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[ "select", "order_id", ",", "sum", "(", "product_quantity", ")", "from", "order_items", "group", "by", "order_id" ]
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customers_and_invoices
SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )
How many products were not included in any order?
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[ "select", "count", "(", "*", ")", "from", "products", "where", "product_id", "not", "in", "(", "select", "product_id", "from", "order_items", ")" ]
[ "How", "many", "products", "were", "not", "included", "in", "any", "order", "?" ]
customers_and_invoices
SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )
Count the number of products that were never ordered.
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[ "Count", "the", "number", "of", "products", "that", "were", "never", "ordered", "." ]
wedding
SELECT count(*) FROM Church WHERE Open_Date < 1850
How many churches opened before 1850 are there?
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[ "select", "count", "(", "*", ")", "from", "church", "where", "open_date", "<", "value" ]
[ "How", "many", "churches", "opened", "before", "1850", "are", "there", "?" ]
wedding
SELECT name , open_date , organized_by FROM Church
Show the name, open date, and organizer for all churches.
[ "SELECT", "name", ",", "open_date", ",", "organized_by", "FROM", "Church" ]
[ "select", "name", ",", "open_date", ",", "organized_by", "from", "church" ]
[ "Show", "the", "name", ",", "open", "date", ",", "and", "organizer", "for", "all", "churches", "." ]
wedding
SELECT name FROM church ORDER BY open_date DESC
List all church names in descending order of opening date.
[ "SELECT", "name", "FROM", "church", "ORDER", "BY", "open_date", "DESC" ]
[ "select", "name", "from", "church", "order", "by", "open_date", "desc" ]
[ "List", "all", "church", "names", "in", "descending", "order", "of", "opening", "date", "." ]
wedding
SELECT open_date FROM church GROUP BY open_date HAVING count(*) >= 2
Show the opening year in whcih at least two churches opened.
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[ "Show", "the", "opening", "year", "in", "whcih", "at", "least", "two", "churches", "opened", "." ]
wedding
SELECT organized_by , name FROM church WHERE open_date BETWEEN 1830 AND 1840
Show the organizer and name for churches that opened between 1830 and 1840.
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[ "select", "organized_by", ",", "name", "from", "church", "where", "open_date", "between", "value", "and", "value" ]
[ "Show", "the", "organizer", "and", "name", "for", "churches", "that", "opened", "between", "1830", "and", "1840", "." ]
wedding
SELECT open_date , count(*) FROM church GROUP BY open_date
Show all opening years and the number of churches that opened in that year.
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[ "select", "open_date", ",", "count", "(", "*", ")", "from", "church", "group", "by", "open_date" ]
[ "Show", "all", "opening", "years", "and", "the", "number", "of", "churches", "that", "opened", "in", "that", "year", "." ]
wedding
SELECT name , open_date FROM church ORDER BY open_date DESC LIMIT 3
Show the name and opening year for three churches that opened most recently.
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[ "select", "name", ",", "open_date", "from", "church", "order", "by", "open_date", "desc", "limit", "value" ]
[ "Show", "the", "name", "and", "opening", "year", "for", "three", "churches", "that", "opened", "most", "recently", "." ]
wedding
SELECT count(*) FROM people WHERE is_male = 'F' AND age > 30
How many female people are older than 30 in our record?
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[ "select", "count", "(", "*", ")", "from", "people", "where", "is_male", "=", "value", "and", "age", ">", "value" ]
[ "How", "many", "female", "people", "are", "older", "than", "30", "in", "our", "record", "?" ]
wedding
SELECT country FROM people WHERE age < 25 INTERSECT SELECT country FROM people WHERE age > 30
Show the country where people older than 30 and younger than 25 are from.
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[ "select", "country", "from", "people", "where", "age", "<", "value", "intersect", "select", "country", "from", "people", "where", "age", ">", "value" ]
[ "Show", "the", "country", "where", "people", "older", "than", "30", "and", "younger", "than", "25", "are", "from", "." ]
wedding
SELECT min(age) , max(age) , avg(age) FROM people
Show the minimum, maximum, and average age for all people.
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[ "select", "min", "(", "age", ")", ",", "max", "(", "age", ")", ",", "avg", "(", "age", ")", "from", "people" ]
[ "Show", "the", "minimum", ",", "maximum", ",", "and", "average", "age", "for", "all", "people", "." ]
wedding
SELECT name , country FROM people WHERE age < (SELECT avg(age) FROM people)
Show the name and country for all people whose age is smaller than the average.
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[ "select", "name", ",", "country", "from", "people", "where", "age", "<", "(", "select", "avg", "(", "age", ")", "from", "people", ")" ]
[ "Show", "the", "name", "and", "country", "for", "all", "people", "whose", "age", "is", "smaller", "than", "the", "average", "." ]
wedding
SELECT T2.name , T3.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id WHERE T1.year > 2014
Show the pair of male and female names in all weddings after year 2014
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[ "Show", "the", "pair", "of", "male", "and", "female", "names", "in", "all", "weddings", "after", "year", "2014" ]
wedding
SELECT name , age FROM people WHERE is_male = 'T' AND people_id NOT IN (SELECT male_id FROM wedding)
Show the name and age for all male people who don't have a wedding.
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[ "Show", "the", "name", "and", "age", "for", "all", "male", "people", "who", "do", "n't", "have", "a", "wedding", "." ]
wedding
SELECT name FROM church EXCEPT SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id WHERE T2.year = 2015
Show all church names except for those that had a wedding in year 2015.
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[ "Show", "all", "church", "names", "except", "for", "those", "that", "had", "a", "wedding", "in", "year", "2015", "." ]
wedding
SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id GROUP BY T1.church_id HAVING count(*) >= 2
Show all church names that have hosted least two weddings.
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[ "Show", "all", "church", "names", "that", "have", "hosted", "least", "two", "weddings", "." ]
wedding
SELECT T2.name FROM wedding AS T1 JOIN people AS T2 ON T1.female_id = T2.people_id WHERE T1.year = 2016 AND T2.is_male = 'F' AND T2.country = 'Canada'
Show the names for all females from Canada having a wedding in year 2016.
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[ "Show", "the", "names", "for", "all", "females", "from", "Canada", "having", "a", "wedding", "in", "year", "2016", "." ]
wedding
SELECT count(*) FROM wedding WHERE YEAR = 2016
How many weddings are there in year 2016?
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[ "How", "many", "weddings", "are", "there", "in", "year", "2016", "?" ]
wedding
SELECT T4.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id JOIN church AS T4 ON T4.church_id = T1.church_id WHERE T2.age > 30 OR T3.age > 30
Show the church names for the weddings of all people older than 30.
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[ "Show", "the", "church", "names", "for", "the", "weddings", "of", "all", "people", "older", "than", "30", "." ]
wedding
SELECT country , count(*) FROM people GROUP BY country
Show all countries and the number of people from each country.
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[ "select", "country", ",", "count", "(", "*", ")", "from", "people", "group", "by", "country" ]
[ "Show", "all", "countries", "and", "the", "number", "of", "people", "from", "each", "country", "." ]
wedding
SELECT COUNT (DISTINCT church_id) FROM wedding WHERE YEAR = 2016
How many churches have a wedding in year 2016?
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[ "How", "many", "churches", "have", "a", "wedding", "in", "year", "2016", "?" ]
theme_gallery
SELECT count(*) FROM artist
How many artists do we have?
[ "SELECT", "count", "(", "*", ")", "FROM", "artist" ]
[ "select", "count", "(", "*", ")", "from", "artist" ]
[ "How", "many", "artists", "do", "we", "have", "?" ]
theme_gallery
SELECT count(*) FROM artist
Count the number of artists.
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[ "select", "count", "(", "*", ")", "from", "artist" ]
[ "Count", "the", "number", "of", "artists", "." ]
theme_gallery
SELECT name , age , country FROM artist ORDER BY Year_Join
Show all artist name, age, and country ordered by the yeared they joined.
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[ "Show", "all", "artist", "name", ",", "age", ",", "and", "country", "ordered", "by", "the", "yeared", "they", "joined", "." ]
theme_gallery
SELECT name , age , country FROM artist ORDER BY Year_Join
What are the names, ages, and countries of artists, sorted by the year they joined?
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theme_gallery
SELECT DISTINCT country FROM artist
What are all distinct country for artists?
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[ "select", "distinct", "country", "from", "artist" ]
[ "What", "are", "all", "distinct", "country", "for", "artists", "?" ]
theme_gallery
SELECT DISTINCT country FROM artist
Return the different countries for artists.
[ "SELECT", "DISTINCT", "country", "FROM", "artist" ]
[ "select", "distinct", "country", "from", "artist" ]
[ "Return", "the", "different", "countries", "for", "artists", "." ]
theme_gallery
SELECT name , year_join FROM artist WHERE country != 'United States'
Show all artist names and the year joined who are not from United States.
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[ "Show", "all", "artist", "names", "and", "the", "year", "joined", "who", "are", "not", "from", "United", "States", "." ]
theme_gallery
SELECT name , year_join FROM artist WHERE country != 'United States'
What are the names and year of joining for artists that do not have the country "United States"?
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theme_gallery
SELECT count(*) FROM artist WHERE age > 46 AND year_join > 1990
How many artists are above age 46 and joined after 1990?
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[ "How", "many", "artists", "are", "above", "age", "46", "and", "joined", "after", "1990", "?" ]
theme_gallery
SELECT count(*) FROM artist WHERE age > 46 AND year_join > 1990
Count the number of artists who are older than 46 and joined after 1990.
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[ "Count", "the", "number", "of", "artists", "who", "are", "older", "than", "46", "and", "joined", "after", "1990", "." ]
theme_gallery
SELECT avg(age) , min(age) FROM artist WHERE country = 'United States'
What is the average and minimum age of all artists from United States.
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theme_gallery
SELECT avg(age) , min(age) FROM artist WHERE country = 'United States'
Return the average and minimum ages across artists from the United States.
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theme_gallery
SELECT name FROM artist ORDER BY year_join DESC LIMIT 1
What is the name of the artist who joined latest?
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[ "What", "is", "the", "name", "of", "the", "artist", "who", "joined", "latest", "?" ]
theme_gallery
SELECT name FROM artist ORDER BY year_join DESC LIMIT 1
Return the name of the artist who has the latest join year.
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[ "Return", "the", "name", "of", "the", "artist", "who", "has", "the", "latest", "join", "year", "." ]
theme_gallery
SELECT count(*) FROM exhibition WHERE YEAR >= 2005
How many exhibition are there in year 2005 or after?
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[ "How", "many", "exhibition", "are", "there", "in", "year", "2005", "or", "after", "?" ]
theme_gallery
SELECT count(*) FROM exhibition WHERE YEAR >= 2005
Count the number of exhibitions that happened in or after 2005.
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theme_gallery
SELECT theme , YEAR FROM exhibition WHERE ticket_price < 15
Show theme and year for all exhibitions with ticket prices lower than 15.
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[ "select", "theme", ",", "year", "from", "exhibition", "where", "ticket_price", "<", "value" ]
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theme_gallery
SELECT theme , YEAR FROM exhibition WHERE ticket_price < 15
What are the theme and year for all exhibitions that have a ticket price under 15?
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[ "What", "are", "the", "theme", "and", "year", "for", "all", "exhibitions", "that", "have", "a", "ticket", "price", "under", "15", "?" ]
theme_gallery
SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id
Show all artist names and the number of exhibitions for each artist.
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[ "Show", "all", "artist", "names", "and", "the", "number", "of", "exhibitions", "for", "each", "artist", "." ]
theme_gallery
SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id
How many exhibitions has each artist had?
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[ "How", "many", "exhibitions", "has", "each", "artist", "had", "?" ]
theme_gallery
SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id ORDER BY count(*) DESC LIMIT 1
What is the name and country for the artist with most number of exhibitions?
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[ "What", "is", "the", "name", "and", "country", "for", "the", "artist", "with", "most", "number", "of", "exhibitions", "?" ]
theme_gallery
SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id ORDER BY count(*) DESC LIMIT 1
Return the name and country corresponding to the artist who has had the most exhibitions.
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theme_gallery
SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition)
Show names for artists without any exhibition.
[ "SELECT", "name", "FROM", "artist", "WHERE", "artist_id", "NOT", "IN", "(", "SELECT", "artist_id", "FROM", "exhibition", ")" ]
[ "select", "name", "from", "artist", "where", "artist_id", "not", "in", "(", "select", "artist_id", "from", "exhibition", ")" ]
[ "Show", "names", "for", "artists", "without", "any", "exhibition", "." ]
theme_gallery
SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition)
What are the names of artists that have not had any exhibitions?
[ "SELECT", "name", "FROM", "artist", "WHERE", "artist_id", "NOT", "IN", "(", "SELECT", "artist_id", "FROM", "exhibition", ")" ]
[ "select", "name", "from", "artist", "where", "artist_id", "not", "in", "(", "select", "artist_id", "from", "exhibition", ")" ]
[ "What", "are", "the", "names", "of", "artists", "that", "have", "not", "had", "any", "exhibitions", "?" ]
theme_gallery
SELECT T1.theme , T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.ticket_price > (SELECT avg(ticket_price) FROM exhibition)
What is the theme and artist name for the exhibition with a ticket price higher than the average?
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[ "select", "t1", ".", "theme", ",", "t2", ".", "name", "from", "exhibition", "as", "t1", "join", "artist", "as", "t2", "on", "t1", ".", "artist_id", "=", "t2", ".", "artist_id", "where", "t1", ".", "ticket_price", ">", "(", "select", "avg", "(", "ticket_price", ")", "from", "exhibition", ")" ]
[ "What", "is", "the", "theme", "and", "artist", "name", "for", "the", "exhibition", "with", "a", "ticket", "price", "higher", "than", "the", "average", "?" ]
theme_gallery
SELECT T1.theme , T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.ticket_price > (SELECT avg(ticket_price) FROM exhibition)
Return the names of artists and the themes of their exhibitions that had a ticket price higher than average.
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[ "Return", "the", "names", "of", "artists", "and", "the", "themes", "of", "their", "exhibitions", "that", "had", "a", "ticket", "price", "higher", "than", "average", "." ]
theme_gallery
SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009
Show the average, minimum, and maximum ticket prices for exhibitions for all years before 2009.
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[ "select", "avg", "(", "ticket_price", ")", ",", "min", "(", "ticket_price", ")", ",", "max", "(", "ticket_price", ")", "from", "exhibition", "where", "year", "<", "value" ]
[ "Show", "the", "average", ",", "minimum", ",", "and", "maximum", "ticket", "prices", "for", "exhibitions", "for", "all", "years", "before", "2009", "." ]
theme_gallery
SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009
What are the average, minimum, and maximum ticket prices for exhibitions that happened prior to 2009?
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[ "select", "avg", "(", "ticket_price", ")", ",", "min", "(", "ticket_price", ")", ",", "max", "(", "ticket_price", ")", "from", "exhibition", "where", "year", "<", "value" ]
[ "What", "are", "the", "average", ",", "minimum", ",", "and", "maximum", "ticket", "prices", "for", "exhibitions", "that", "happened", "prior", "to", "2009", "?" ]
theme_gallery
SELECT theme , YEAR FROM exhibition ORDER BY ticket_price DESC
Show theme and year for all exhibitions in an descending order of ticket price.
[ "SELECT", "theme", ",", "YEAR", "FROM", "exhibition", "ORDER", "BY", "ticket_price", "DESC" ]
[ "select", "theme", ",", "year", "from", "exhibition", "order", "by", "ticket_price", "desc" ]
[ "Show", "theme", "and", "year", "for", "all", "exhibitions", "in", "an", "descending", "order", "of", "ticket", "price", "." ]
theme_gallery
SELECT theme , YEAR FROM exhibition ORDER BY ticket_price DESC
What are the themes and years for exhibitions, sorted by ticket price descending?
[ "SELECT", "theme", ",", "YEAR", "FROM", "exhibition", "ORDER", "BY", "ticket_price", "DESC" ]
[ "select", "theme", ",", "year", "from", "exhibition", "order", "by", "ticket_price", "desc" ]
[ "What", "are", "the", "themes", "and", "years", "for", "exhibitions", ",", "sorted", "by", "ticket", "price", "descending", "?" ]
theme_gallery
SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004
What is the theme, date, and attendance for the exhibition in year 2004?
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[ "What", "is", "the", "theme", ",", "date", ",", "and", "attendance", "for", "the", "exhibition", "in", "year", "2004", "?" ]
theme_gallery
SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004
Return the themes, dates, and attendance for exhibitions that happened in 2004.
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[ "Return", "the", "themes", ",", "dates", ",", "and", "attendance", "for", "exhibitions", "that", "happened", "in", "2004", "." ]
theme_gallery
SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.year = 2004
Show all artist names who didn't have an exhibition in 2004.
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[ "Show", "all", "artist", "names", "who", "did", "n't", "have", "an", "exhibition", "in", "2004", "." ]
theme_gallery
SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.year = 2004
What are the names of artists who did not have an exhibition in 2004?
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[ "What", "are", "the", "names", "of", "artists", "who", "did", "not", "have", "an", "exhibition", "in", "2004", "?" ]
theme_gallery
SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500
Show the theme for exhibitions with both records of an attendance below 100 and above 500.
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[ "Show", "the", "theme", "for", "exhibitions", "with", "both", "records", "of", "an", "attendance", "below", "100", "and", "above", "500", "." ]
theme_gallery
SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500
Which themes have had corresponding exhibitions that have had attendance both below 100 and above 500?
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[ "Which", "themes", "have", "had", "corresponding", "exhibitions", "that", "have", "had", "attendance", "both", "below", "100", "and", "above", "500", "?" ]
theme_gallery
SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10
How many exhibitions have a attendance more than 100 or have a ticket price below 10?
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[ "How", "many", "exhibitions", "have", "a", "attendance", "more", "than", "100", "or", "have", "a", "ticket", "price", "below", "10", "?" ]
theme_gallery
SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10
Count the number of exhibitions that have had an attendnance of over 100 or a ticket prices under 10.
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[ "Count", "the", "number", "of", "exhibitions", "that", "have", "had", "an", "attendnance", "of", "over", "100", "or", "a", "ticket", "prices", "under", "10", "." ]
theme_gallery
SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING avg(T1.attendance) > 200
Show all artist names with an average exhibition attendance over 200.
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[ "Show", "all", "artist", "names", "with", "an", "average", "exhibition", "attendance", "over", "200", "." ]
theme_gallery
SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING avg(T1.attendance) > 200
What are the names of artist whose exhibitions draw over 200 attendees on average?
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[ "What", "are", "the", "names", "of", "artist", "whose", "exhibitions", "draw", "over", "200", "attendees", "on", "average", "?" ]
epinions_1
SELECT i_id FROM item WHERE title = "orange"
Find the id of the item whose title is "orange".
[ "SELECT", "i_id", "FROM", "item", "WHERE", "title", "=", "``", "orange", "''" ]
[ "select", "i_id", "from", "item", "where", "title", "=", "value" ]
[ "Find", "the", "id", "of", "the", "item", "whose", "title", "is", "``", "orange", "''", "." ]
epinions_1
SELECT * FROM item
List all information in the item table.
[ "SELECT", "*", "FROM", "item" ]
[ "select", "*", "from", "item" ]
[ "List", "all", "information", "in", "the", "item", "table", "." ]
epinions_1
SELECT count(*) FROM review
Find the number of reviews.
[ "SELECT", "count", "(", "*", ")", "FROM", "review" ]
[ "select", "count", "(", "*", ")", "from", "review" ]
[ "Find", "the", "number", "of", "reviews", "." ]
epinions_1
SELECT count(*) FROM useracct
How many users are there?
[ "SELECT", "count", "(", "*", ")", "FROM", "useracct" ]
[ "select", "count", "(", "*", ")", "from", "useracct" ]
[ "How", "many", "users", "are", "there", "?" ]
epinions_1
SELECT avg(rating) , max(rating) FROM review
Find the average and maximum rating of all reviews.
[ "SELECT", "avg", "(", "rating", ")", ",", "max", "(", "rating", ")", "FROM", "review" ]
[ "select", "avg", "(", "rating", ")", ",", "max", "(", "rating", ")", "from", "review" ]
[ "Find", "the", "average", "and", "maximum", "rating", "of", "all", "reviews", "." ]
epinions_1
SELECT min(rank) FROM review
Find the highest rank of all reviews.
[ "SELECT", "min", "(", "rank", ")", "FROM", "review" ]
[ "select", "min", "(", "rank", ")", "from", "review" ]
[ "Find", "the", "highest", "rank", "of", "all", "reviews", "." ]
epinions_1
SELECT count(DISTINCT u_id) FROM review
How many different users wrote some reviews?
[ "SELECT", "count", "(", "DISTINCT", "u_id", ")", "FROM", "review" ]
[ "select", "count", "(", "distinct", "u_id", ")", "from", "review" ]
[ "How", "many", "different", "users", "wrote", "some", "reviews", "?" ]
epinions_1
SELECT count(DISTINCT i_id) FROM review
How many different items were reviewed by some users?
[ "SELECT", "count", "(", "DISTINCT", "i_id", ")", "FROM", "review" ]
[ "select", "count", "(", "distinct", "i_id", ")", "from", "review" ]
[ "How", "many", "different", "items", "were", "reviewed", "by", "some", "users", "?" ]
epinions_1
SELECT count(*) FROM item WHERE i_id NOT IN (SELECT i_id FROM review)
Find the number of items that did not receive any review.
[ "SELECT", "count", "(", "*", ")", "FROM", "item", "WHERE", "i_id", "NOT", "IN", "(", "SELECT", "i_id", "FROM", "review", ")" ]
[ "select", "count", "(", "*", ")", "from", "item", "where", "i_id", "not", "in", "(", "select", "i_id", "from", "review", ")" ]
[ "Find", "the", "number", "of", "items", "that", "did", "not", "receive", "any", "review", "." ]
epinions_1
SELECT name FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review)
Find the names of users who did not leave any review.
[ "SELECT", "name", "FROM", "useracct", "WHERE", "u_id", "NOT", "IN", "(", "SELECT", "u_id", "FROM", "review", ")" ]
[ "select", "name", "from", "useracct", "where", "u_id", "not", "in", "(", "select", "u_id", "from", "review", ")" ]
[ "Find", "the", "names", "of", "users", "who", "did", "not", "leave", "any", "review", "." ]
epinions_1
SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating = 10
Find the names of goods that receive a rating of 10.
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[ "Find", "the", "names", "of", "goods", "that", "receive", "a", "rating", "of", "10", "." ]