NATURAL_LANG
stringlengths 12
244
| SQL
stringlengths 18
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| SCHEMA
stringlengths 27
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| input_ids
sequence | attention_mask
sequence | labels
sequence |
---|---|---|---|---|---|
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Name all the products with next entry ID greater than 8. | SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8 | CREATE TABLE catalog_contents (catalog_entry_name VARCHAR, next_entry_id INTEGER) | [
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32106,
32105,
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332,
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1761,
6696,
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How many aircrafts have distance between 1000 and 5000? | SELECT COUNT(*) FROM Aircraft WHERE distance BETWEEN 1000 AND 5000 | CREATE TABLE Aircraft (distance INTEGER) | [
32100,
32106,
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0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
0,
0,
0,
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0,
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0,
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0,
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | [
3,
23143,
14196,
564,
6,
2357,
21680,
1761,
6696,
549,
17444,
427,
3052,
3274,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the minimum, average, and maximum distance of all aircrafts. | SELECT MIN(distance), AVG(distance), MAX(distance) FROM Aircraft | CREATE TABLE Aircraft (distance INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
1761,
6696,
41,
26,
23,
8389,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2559,
6,
1348,
6,
11,
2411,
2357,
13,
66,
6442,
7,
5,
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] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | [
3,
23143,
14196,
3,
17684,
599,
26,
23,
8389,
201,
71,
17217,
599,
26,
23,
8389,
201,
4800,
4,
599,
26,
23,
8389,
61,
21680,
1761,
6696,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Show the id and name of the aircraft with the maximum distance. | SELECT aid, name FROM Aircraft ORDER BY distance DESC LIMIT 1 | CREATE TABLE Aircraft (aid VARCHAR, name VARCHAR, distance VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
1761,
6696,
41,
6146,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
2357,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
3111,
8,
3,
23,
26,
11,
564,
13,
8,
6442,
28,
8,
2411,
2357,
5,
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] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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Show the name of aircrafts with top three lowest distances. | SELECT name FROM Aircraft ORDER BY distance LIMIT 3 | CREATE TABLE Aircraft (name VARCHAR, distance VARCHAR) | [
32100,
32106,
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Show names for all aircrafts with distances more than the average. | SELECT name FROM Aircraft WHERE distance > (SELECT AVG(distance) FROM Aircraft) | CREATE TABLE Aircraft (name VARCHAR, distance INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
1761,
6696,
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Show the id and name of the employee with maximum salary. | SELECT eid, name FROM Employee ORDER BY salary DESC LIMIT 1 | CREATE TABLE Employee (eid VARCHAR, name VARCHAR, salary VARCHAR) | [
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Show flight number, origin, destination of all flights in the alphabetical order of the departure cities. | SELECT flno, origin, destination FROM Flight ORDER BY origin | CREATE TABLE Flight (flno VARCHAR, origin VARCHAR, destination VARCHAR) | [
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Show origins of all flights with destination Honolulu. | SELECT origin FROM Flight WHERE destination = "Honolulu" | CREATE TABLE Flight (origin VARCHAR, destination VARCHAR) | [
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Show me the departure date and arrival date for all flights from Los Angeles to Honolulu. | SELECT departure_date, arrival_date FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu" | CREATE TABLE Flight (departure_date VARCHAR, arrival_date VARCHAR, origin VARCHAR, destination VARCHAR) | [
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Show flight number for all flights with more than 2000 distance. | SELECT flno FROM Flight WHERE distance > 2000 | CREATE TABLE Flight (flno VARCHAR, distance INTEGER) | [
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What is the average price for flights from Los Angeles to Honolulu. | SELECT AVG(price) FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu" | CREATE TABLE Flight (price INTEGER, origin VARCHAR, destination VARCHAR) | [
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32106,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Show the flight number and distance of the flight with maximum price. | SELECT flno, distance FROM Flight ORDER BY price DESC LIMIT 1 | CREATE TABLE Flight (flno VARCHAR, distance VARCHAR, price VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
16736,
41,
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3,
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14196,
3,
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29,
32,
6,
2357,
21680,
16736,
4674,
11300,
272,
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] |
Show the flight number of flights with three lowest distances. | SELECT flno FROM Flight ORDER BY distance LIMIT 3 | CREATE TABLE Flight (flno VARCHAR, distance VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
16736,
41,
89,
40,
29,
32,
584,
4280,
28027,
6,
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4280,
28027,
61,
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32105,
32106,
32107,
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3111,
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What is the average distance and average price for flights from Los Angeles. | SELECT AVG(distance), AVG(price) FROM Flight WHERE origin = "Los Angeles" | CREATE TABLE Flight (distance INTEGER, price INTEGER, origin VARCHAR) | [
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Show all origins and the number of flights from each origin. | SELECT origin, COUNT(*) FROM Flight GROUP BY origin | CREATE TABLE Flight (origin VARCHAR) | [
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32106,
32105,
205,
4386,
6048,
332,
17098,
16736,
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Show all destinations and the number of flights to each destination. | SELECT destination, COUNT(*) FROM Flight GROUP BY destination | CREATE TABLE Flight (destination VARCHAR) | [
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Which origin has most number of flights? | SELECT origin FROM Flight GROUP BY origin ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Flight (origin VARCHAR) | [
32100,
32106,
32105,
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6048,
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17098,
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Show all flight numbers with aircraft Airbus A340-300. | SELECT T1.flno FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T2.name = "Airbus A340-300" | CREATE TABLE Flight (flno VARCHAR, aid VARCHAR); CREATE TABLE Aircraft (aid VARCHAR, name VARCHAR) | [
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Show aircraft names and number of flights for each aircraft. | SELECT T2.name, COUNT(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid | CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR); CREATE TABLE Flight (aid VARCHAR) | [
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Show names for all aircraft with at least two flights. | SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING COUNT(*) >= 2 | CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR); CREATE TABLE Flight (aid VARCHAR) | [
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Show ids for all employees who don't have a certificate. | SELECT eid FROM Employee EXCEPT SELECT eid FROM Certificate | CREATE TABLE Employee (eid VARCHAR); CREATE TABLE Certificate (eid VARCHAR) | [
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Show names for all aircrafts of which John Williams has certificates. | SELECT T3.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T1.name = "John Williams" | CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR); CREATE TABLE Employee (eid VARCHAR, name VARCHAR); CREATE TABLE Certificate (eid VARCHAR, aid VARCHAR) | [
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Show the name of aircraft which fewest people have its certificate. | SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Certificate (aid VARCHAR); CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR) | [
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Show the name and distance of the aircrafts with more than 5000 distance and which at least 5 people have its certificate. | SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid WHERE T2.distance > 5000 GROUP BY T1.aid ORDER BY COUNT(*) >= 5 | CREATE TABLE Certificate (aid VARCHAR); CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR, distance INTEGER) | [
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what is the salary and name of the employee who has the most number of aircraft certificates? | SELECT T1.name, T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Certificate (eid VARCHAR); CREATE TABLE Employee (name VARCHAR, salary VARCHAR, eid VARCHAR) | [
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How many allergies are there? | SELECT COUNT(DISTINCT allergy) FROM Allergy_type | CREATE TABLE Allergy_type (allergy VARCHAR) | [
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Show all allergies and their types. | SELECT allergy, allergytype FROM Allergy_type | CREATE TABLE Allergy_type (allergy VARCHAR, allergytype VARCHAR) | [
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What is the type of allergy Cat? | SELECT allergytype FROM Allergy_type WHERE allergy = "Cat" | CREATE TABLE Allergy_type (allergytype VARCHAR, allergy VARCHAR) | [
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Show all allergy types and the number of allergies in each type. | SELECT allergytype, COUNT(*) FROM Allergy_type GROUP BY allergytype | CREATE TABLE Allergy_type (allergytype VARCHAR) | [
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How many different advisors are listed? | SELECT COUNT(DISTINCT advisor) FROM Student | CREATE TABLE Student (advisor VARCHAR) | [
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Show first name, last name, age for all female students. Their sex is F. | SELECT Fname, Lname, Age FROM Student WHERE Sex = 'F' | CREATE TABLE Student (Fname VARCHAR, Lname VARCHAR, Age VARCHAR, Sex VARCHAR) | [
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Which city does the student whose last name is "Kim" live in? | SELECT city_code FROM Student WHERE LName = "Kim" | CREATE TABLE Student (city_code VARCHAR, LName VARCHAR) | [
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How many students live in HKG or CHI? | SELECT COUNT(*) FROM Student WHERE city_code = "HKG" OR city_code = "CHI" | CREATE TABLE Student (city_code VARCHAR) | [
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Show the minimum, average, and maximum age of all students. | SELECT MIN(age), AVG(age), MAX(age) FROM Student | CREATE TABLE Student (age INTEGER) | [
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Show all ages and corresponding number of students. | SELECT age, COUNT(*) FROM Student GROUP BY age | CREATE TABLE Student (age VARCHAR) | [
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Show the average age for male and female students. | SELECT AVG(age), sex FROM Student GROUP BY sex | CREATE TABLE Student (sex VARCHAR, age INTEGER) | [
32100,
32106,
32105,
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Show all cities and corresponding number of students. | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code | CREATE TABLE Student (city_code VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
6341,
41,
6726,
834,
4978,
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How many students have cat allergies? | SELECT COUNT(*) FROM Has_allergy WHERE Allergy = "Cat" | CREATE TABLE Has_allergy (Allergy VARCHAR) | [
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Show all student IDs who have at least two allergies. | SELECT StuID FROM Has_allergy GROUP BY StuID HAVING COUNT(*) >= 2 | CREATE TABLE Has_allergy (StuID VARCHAR) | [
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What are the student ids of students who don't have any allergies? | SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy | CREATE TABLE Has_allergy (StuID VARCHAR); CREATE TABLE Student (StuID VARCHAR) | [
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Find the last name and age of the student who has allergy to both milk and cat. | SELECT lname, age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat") | CREATE TABLE Has_allergy (lname VARCHAR, age VARCHAR, StuID VARCHAR, Allergy VARCHAR); CREATE TABLE Student (lname VARCHAR, age VARCHAR, StuID VARCHAR, Allergy VARCHAR) | [
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What are the allergies and their types that the student with first name Lisa has? And order the result by name of allergies. | SELECT T1.Allergy, T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy | CREATE TABLE Has_allergy (Allergy VARCHAR, StuID VARCHAR); CREATE TABLE Student (StuID VARCHAR, Fname VARCHAR); CREATE TABLE Allergy_type (Allergy VARCHAR, AllergyType VARCHAR) | [
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List the first and last name of the students who do not have any food type allergy. | SELECT fname, lname FROM Student WHERE NOT StuID IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food") | CREATE TABLE Student (fname VARCHAR, lname VARCHAR, StuID VARCHAR); CREATE TABLE Allergy_Type (Allergy VARCHAR, allergytype VARCHAR); CREATE TABLE Has_allergy (StuID VARCHAR, Allergy VARCHAR) | [
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Find the number of male (sex is 'M') students who have some food type allery. | SELECT COUNT(*) FROM Student WHERE sex = "M" AND StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food") | CREATE TABLE Has_allergy (Allergy VARCHAR); CREATE TABLE Allergy_Type (Allergy VARCHAR, allergytype VARCHAR); CREATE TABLE Student (sex VARCHAR, StuID VARCHAR) | [
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Find the different first names and cities of the students who have allergy to milk or cat. | SELECT DISTINCT T1.fname, T1.city_code FROM Student AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat" | CREATE TABLE Has_Allergy (stuid VARCHAR, Allergy VARCHAR); CREATE TABLE Student (fname VARCHAR, city_code VARCHAR, stuid VARCHAR) | [
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Find the number of students who are older than 18 and do not have allergy to either food or animal. | SELECT COUNT(*) FROM Student WHERE age > 18 AND NOT StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" OR T2.allergytype = "animal") | CREATE TABLE Allergy_Type (Allergy VARCHAR, allergytype VARCHAR); CREATE TABLE Has_allergy (Allergy VARCHAR); CREATE TABLE Student (age VARCHAR, StuID VARCHAR) | [
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A list of the top 5 countries by number of invoices. List country name and number of invoices. | SELECT billing_country, COUNT(*) FROM invoices GROUP BY billing_country ORDER BY COUNT(*) DESC LIMIT 5 | CREATE TABLE invoices (billing_country VARCHAR) | [
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A list of the top 8 countries by gross/total invoice size. List country name and gross invoice size. | SELECT billing_country, SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8 | CREATE TABLE invoices (billing_country VARCHAR, total INTEGER) | [
32100,
32106,
32105,
205,
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A list of the top 10 countries by average invoice size. List country name and average invoice size. | SELECT billing_country, AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10 | CREATE TABLE invoices (billing_country VARCHAR, total INTEGER) | [
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Subsets and Splits