NATURAL_LANG
stringlengths 12
244
| SQL
stringlengths 18
336
| SCHEMA
stringlengths 27
355
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
How many services are there?
|
SELECT COUNT(*) FROM services
|
CREATE TABLE services (Id VARCHAR)
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Find the names of users who do not have a first notification of loss record.
|
SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id
|
CREATE TABLE first_notification_of_loss (customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR)
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] |
Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".
|
SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"
|
CREATE TABLE first_notification_of_loss (customer_id VARCHAR, service_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE services (service_id VARCHAR, service_name VARCHAR)
|
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] |
Find the IDs of customers whose name contains "Diana".
|
SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR)
|
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] |
What are the maximum and minimum settlement amount on record?
|
SELECT MAX(settlement_amount), MIN(settlement_amount) FROM settlements
|
CREATE TABLE settlements (settlement_amount INTEGER)
|
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32100,
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201,
3,
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] |
List all the customers in increasing order of IDs.
|
SELECT customer_id, customer_name FROM customers ORDER BY customer_id
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
722,
41,
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49,
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32105,
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Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"
|
SELECT t2.date_opened, t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customers_policies (date_opened VARCHAR, date_closed VARCHAR, customer_id VARCHAR)
|
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3,
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] |
How many kinds of enzymes are there?
|
SELECT COUNT(*) FROM enzyme
|
CREATE TABLE enzyme (Id VARCHAR)
|
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[
3,
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21680,
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] |
List the name of enzymes in descending lexicographical order.
|
SELECT name FROM enzyme ORDER BY name DESC
|
CREATE TABLE enzyme (name VARCHAR)
|
[
32100,
32106,
32105,
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4386,
6048,
332,
17098,
15735,
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] |
[
3,
23143,
14196,
564,
21680,
15735,
4674,
11300,
272,
476,
564,
309,
25067,
1,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
List the names and the locations that the enzymes can make an effect.
|
SELECT name, LOCATION FROM enzyme
|
CREATE TABLE enzyme (name VARCHAR, LOCATION VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
15735,
41,
4350,
584,
4280,
28027,
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301,
5618,
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28027,
61,
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32105,
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] |
[
3,
23143,
14196,
564,
6,
301,
5618,
8015,
21680,
15735,
1,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
|
SELECT MAX(OMIM) FROM enzyme
|
CREATE TABLE enzyme (OMIM INTEGER)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
15735,
41,
8638,
5166,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2411,
1777,
3137,
12460,
152,
86,
760,
155,
663,
16,
1140,
41,
8638,
5166,
61,
701,
13,
8,
15735,
7,
58,
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[
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14196,
4800,
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8638,
5166,
61,
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15735,
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] |
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
|
SELECT product, chromosome, porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
|
CREATE TABLE enzyme (product VARCHAR, chromosome VARCHAR, porphyria VARCHAR, LOCATION VARCHAR)
|
[
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What are the names of enzymes who does not produce 'Heme'?
|
SELECT name FROM enzyme WHERE product <> 'Heme'
|
CREATE TABLE enzyme (name VARCHAR, product VARCHAR)
|
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What are the names and trade names of the medicines which has 'Yes' value in the FDA record?
|
SELECT name, trade_name FROM medicine WHERE FDA_approved = 'Yes'
|
CREATE TABLE medicine (name VARCHAR, trade_name VARCHAR, FDA_approved VARCHAR)
|
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What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?
|
SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'
|
CREATE TABLE medicine (id VARCHAR, name VARCHAR); CREATE TABLE medicine_enzyme_interaction (enzyme_id VARCHAR, medicine_id VARCHAR, interaction_type VARCHAR); CREATE TABLE enzyme (name VARCHAR, id VARCHAR)
|
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What are the ids and names of the medicine that can interact with two or more enzymes?
|
SELECT T1.id, T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 2
|
CREATE TABLE medicine_enzyme_interaction (medicine_id VARCHAR); CREATE TABLE medicine (id VARCHAR, Name VARCHAR)
|
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What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.
|
SELECT T1.id, T1.Name, T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC
|
CREATE TABLE medicine_enzyme_interaction (medicine_id VARCHAR); CREATE TABLE medicine (id VARCHAR, Name VARCHAR, FDA_approved VARCHAR)
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What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?
|
SELECT T1.id, T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE medicine_enzyme_interaction (enzyme_id VARCHAR, interaction_type VARCHAR); CREATE TABLE enzyme (id VARCHAR, name VARCHAR)
|
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What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
|
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
|
CREATE TABLE enzyme (id VARCHAR, name VARCHAR); CREATE TABLE medicine (id VARCHAR, name VARCHAR); CREATE TABLE medicine_enzyme_interaction (interaction_type VARCHAR, medicine_id VARCHAR, enzyme_id VARCHAR)
|
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What is the most common interaction type between enzymes and medicine? And how many are there?
|
SELECT interaction_type, COUNT(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE medicine_enzyme_interaction (interaction_type VARCHAR)
|
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] |
How many medicines have the FDA approval status 'No' ?
|
SELECT COUNT(*) FROM medicine WHERE FDA_approved = 'No'
|
CREATE TABLE medicine (FDA_approved VARCHAR)
|
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[
3,
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14196,
2847,
17161,
599,
1935,
61,
21680,
4404,
549,
17444,
427,
13648,
834,
24496,
3274,
3,
31,
4168,
31,
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
How many enzymes do not have any interactions?
|
SELECT COUNT(*) FROM enzyme WHERE NOT id IN (SELECT enzyme_id FROM medicine_enzyme_interaction)
|
CREATE TABLE medicine_enzyme_interaction (id VARCHAR, enzyme_id VARCHAR); CREATE TABLE enzyme (id VARCHAR, enzyme_id VARCHAR)
|
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32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
4404,
834,
35,
4164,
526,
834,
3870,
4787,
41,
23,
26,
584,
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584,
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571,
186,
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103,
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2847,
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599,
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61,
21680,
15735,
549,
17444,
427,
4486,
3,
23,
26,
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What is the id and trade name of the medicines can interact with at least 3 enzymes?
|
SELECT T1.id, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3
|
CREATE TABLE medicine (id VARCHAR, trade_name VARCHAR); CREATE TABLE medicine_enzyme_interaction (medicine_id VARCHAR)
|
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What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?
|
SELECT DISTINCT T1.name, T1.location, T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'
|
CREATE TABLE enzyme (name VARCHAR, location VARCHAR, product VARCHAR, id VARCHAR); CREATE TABLE medicine_enzyme_interaction (enzyme_id VARCHAR, interaction_type VARCHAR)
|
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] |
List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.
|
SELECT T1.name, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'
|
CREATE TABLE medicine (name VARCHAR, trade_name VARCHAR, id VARCHAR); CREATE TABLE medicine_enzyme_interaction (medicine_id VARCHAR)
|
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] |
Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.
|
SELECT name, trade_name FROM medicine EXCEPT SELECT T1.name, T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'
|
CREATE TABLE medicine (name VARCHAR, trade_name VARCHAR); CREATE TABLE medicine_enzyme_interaction (medicine_id VARCHAR, enzyme_id VARCHAR); CREATE TABLE medicine (name VARCHAR, trade_name VARCHAR, id VARCHAR); CREATE TABLE enzyme (id VARCHAR, product VARCHAR)
|
[
32100,
32106,
32105,
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6048,
332,
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How many distinct FDA approval statuses are there for the medicines?
|
SELECT COUNT(DISTINCT FDA_approved) FROM medicine
|
CREATE TABLE medicine (FDA_approved VARCHAR)
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-100,
-100,
-100
] |
Which enzyme names have the substring "ALA"?
|
SELECT name FROM enzyme WHERE name LIKE "%ALA%"
|
CREATE TABLE enzyme (name VARCHAR)
|
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32100,
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[
3,
23143,
14196,
564,
21680,
15735,
549,
17444,
427,
564,
8729,
9914,
96,
1454,
23634,
1454,
121,
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] |
find the number of medicines offered by each trade.
|
SELECT trade_name, COUNT(*) FROM medicine GROUP BY trade_name
|
CREATE TABLE medicine (trade_name VARCHAR)
|
[
32100,
32106,
32105,
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List all schools and their nicknames in the order of founded year.
|
SELECT school, nickname FROM university ORDER BY founded
|
CREATE TABLE university (school VARCHAR, nickname VARCHAR, founded VARCHAR)
|
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List all public schools and their locations.
|
SELECT school, LOCATION FROM university WHERE affiliation = 'Public'
|
CREATE TABLE university (school VARCHAR, LOCATION VARCHAR, affiliation VARCHAR)
|
[
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When was the school with the largest enrollment founded?
|
SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1
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CREATE TABLE university (founded VARCHAR, enrollment VARCHAR)
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the founded year of the newest non public school.
|
SELECT founded FROM university WHERE affiliation <> 'Public' ORDER BY founded DESC LIMIT 1
|
CREATE TABLE university (founded VARCHAR, affiliation VARCHAR)
|
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3,
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] |
How many schools are in the basketball match?
|
SELECT COUNT(DISTINCT school_id) FROM basketball_match
|
CREATE TABLE basketball_match (school_id VARCHAR)
|
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What is the highest acc percent score in the competition?
|
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
|
CREATE TABLE basketball_match (acc_percent VARCHAR)
|
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What is the primary conference of the school that has the lowest acc percent score in the competition?
|
SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1
|
CREATE TABLE basketball_match (school_id VARCHAR, acc_percent VARCHAR); CREATE TABLE university (Primary_conference VARCHAR, school_id VARCHAR)
|
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What is the team name and acc regular season score of the school that was founded for the longest time?
|
SELECT t2.team_name, t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1
|
CREATE TABLE university (school_id VARCHAR, founded VARCHAR); CREATE TABLE basketball_match (team_name VARCHAR, ACC_Regular_Season VARCHAR, school_id VARCHAR)
|
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Find the location and all games score of the school that has Clemson as its team name.
|
SELECT t2.All_Games, t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'
|
CREATE TABLE basketball_match (All_Games VARCHAR, school_id VARCHAR); CREATE TABLE university (location VARCHAR, school_id VARCHAR)
|
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] |
What are the average enrollment size of the universities that are founded before 1850?
|
SELECT AVG(enrollment) FROM university WHERE founded < 1850
|
CREATE TABLE university (enrollment INTEGER, founded INTEGER)
|
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Show the enrollment and primary_conference of the oldest college.
|
SELECT enrollment, primary_conference FROM university ORDER BY founded LIMIT 1
|
CREATE TABLE university (enrollment VARCHAR, primary_conference VARCHAR, founded VARCHAR)
|
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] |
What is the total and minimum enrollment of all schools?
|
SELECT SUM(enrollment), MIN(enrollment) FROM university
|
CREATE TABLE university (enrollment INTEGER)
|
[
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Find the total student enrollment for different affiliation type schools.
|
SELECT SUM(enrollment), affiliation FROM university GROUP BY affiliation
|
CREATE TABLE university (affiliation VARCHAR, enrollment INTEGER)
|
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] |
How many schools do not participate in the basketball match?
|
SELECT COUNT(*) FROM university WHERE NOT school_id IN (SELECT school_id FROM basketball_match)
|
CREATE TABLE university (school_id VARCHAR); CREATE TABLE basketball_match (school_id VARCHAR)
|
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Find the schools that were either founded after 1850 or public.
|
SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public'
|
CREATE TABLE university (school VARCHAR, founded VARCHAR, affiliation VARCHAR)
|
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[
3,
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14196,
496,
21680,
3819,
549,
17444,
427,
5710,
2490,
507,
1752,
4674,
24405,
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31,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find how many different affiliation types there are.
|
SELECT COUNT(DISTINCT affiliation) FROM university
|
CREATE TABLE university (affiliation VARCHAR)
|
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[
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
24405,
61,
21680,
3819,
1,
-100,
-100,
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-100,
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-100,
-100,
-100
] |
Find how many school locations have the word 'NY'.
|
SELECT COUNT(*) FROM university WHERE LOCATION LIKE "%NY%"
|
CREATE TABLE university (LOCATION VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
3819,
41,
5017,
254,
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4280,
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[
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Find the team names of the universities whose enrollments are smaller than the average enrollment size.
|
SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT AVG(enrollment) FROM university)
|
CREATE TABLE university (school_id VARCHAR); CREATE TABLE basketball_match (team_name VARCHAR, school_id VARCHAR); CREATE TABLE university (enrollment INTEGER)
|
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] |
Find the number of universities that have over a 20000 enrollment size for each affiliation type.
|
SELECT COUNT(*), affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation
|
CREATE TABLE university (affiliation VARCHAR, enrollment INTEGER)
|
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Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.
|
SELECT SUM(Enrollment), affiliation FROM university WHERE founded > 1850 GROUP BY affiliation
|
CREATE TABLE university (affiliation VARCHAR, Enrollment INTEGER, founded INTEGER)
|
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What is the maximum enrollment across all schools?
|
SELECT MAX(Enrollment) FROM university
|
CREATE TABLE university (Enrollment INTEGER)
|
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List all information regarding the basketball match.
|
SELECT * FROM basketball_match
|
CREATE TABLE basketball_match (Id VARCHAR)
|
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List names of all teams in the basketball competition, ordered by all home scores in descending order.
|
SELECT team_name FROM basketball_match ORDER BY All_Home DESC
|
CREATE TABLE basketball_match (team_name VARCHAR, All_Home VARCHAR)
|
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] |
the names of models that launched between 2002 and 2004.
|
SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004
|
CREATE TABLE chip_model (Model_name VARCHAR, Launch_year INTEGER)
|
[
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Which model has the least amount of RAM? List the model name and the amount of RAM.
|
SELECT Model_name, RAM_MiB FROM chip_model ORDER BY RAM_MiB LIMIT 1
|
CREATE TABLE chip_model (Model_name VARCHAR, RAM_MiB VARCHAR)
|
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What are the chip model and screen mode of the phone with hardware model name "LG-P760"?
|
SELECT chip_model, screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760"
|
CREATE TABLE phone (chip_model VARCHAR, screen_mode VARCHAR, Hardware_Model_name VARCHAR)
|
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How many phone hardware models are produced by the company named "Nokia Corporation"?
|
SELECT COUNT(*) FROM phone WHERE Company_name = "Nokia Corporation"
|
CREATE TABLE phone (Company_name VARCHAR)
|
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What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?
|
SELECT MAX(T1.RAM_MiB), MIN(T1.RAM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation"
|
CREATE TABLE phone (chip_model VARCHAR, Company_name VARCHAR); CREATE TABLE chip_model (RAM_MiB INTEGER, Model_name VARCHAR)
|
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What is the average ROM size of phones produced by the company named "Nokia Corporation"?
|
SELECT AVG(T1.ROM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation"
|
CREATE TABLE phone (chip_model VARCHAR, Company_name VARCHAR); CREATE TABLE chip_model (ROM_MiB INTEGER, Model_name VARCHAR)
|
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List the hardware model name and company name for all the phones that were launched in year 2002 or have RAM size greater than 32.
|
SELECT T2.Hardware_Model_name, T2.Company_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 OR T1.RAM_MiB > 32
|
CREATE TABLE chip_model (Model_name VARCHAR, Launch_year VARCHAR, RAM_MiB VARCHAR); CREATE TABLE phone (Hardware_Model_name VARCHAR, Company_name VARCHAR, chip_model VARCHAR)
|
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Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.
|
SELECT Hardware_Model_name, Company_name FROM phone WHERE Accreditation_type LIKE 'Full'
|
CREATE TABLE phone (Hardware_Model_name VARCHAR, Company_name VARCHAR, Accreditation_type VARCHAR)
|
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] |
Find the Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is "LG-P760".
|
SELECT T1.Char_cells, T1.Pixels, T1.Hardware_colours FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T2.Hardware_Model_name = "LG-P760"
|
CREATE TABLE phone (screen_mode VARCHAR, Hardware_Model_name VARCHAR); CREATE TABLE screen_mode (Char_cells VARCHAR, Pixels VARCHAR, Hardware_colours VARCHAR, Graphics_mode VARCHAR)
|
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List the hardware model name and company name for the phone whose screen mode type is "Graphics."
|
SELECT T2.Hardware_Model_name, T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics"
|
CREATE TABLE phone (Hardware_Model_name VARCHAR, Company_name VARCHAR, screen_mode VARCHAR); CREATE TABLE screen_mode (Graphics_mode VARCHAR, Type VARCHAR)
|
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Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company.
|
SELECT Company_name, COUNT(*) FROM phone GROUP BY Company_name ORDER BY COUNT(*) LIMIT 1
|
CREATE TABLE phone (Company_name VARCHAR)
|
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] |
List the name of the company that produced more than one phone model.
|
SELECT Company_name FROM phone GROUP BY Company_name HAVING COUNT(*) > 1
|
CREATE TABLE phone (Company_name VARCHAR)
|
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] |
List the maximum, minimum and average number of used kb in screen mode.
|
SELECT MAX(used_kb), MIN(used_kb), AVG(used_kb) FROM screen_mode
|
CREATE TABLE screen_mode (used_kb INTEGER)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
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834,
14930,
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21342,
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List the name of the phone model launched in year 2002 and with the highest RAM size.
|
SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 ORDER BY T1.RAM_MiB DESC LIMIT 1
|
CREATE TABLE chip_model (Model_name VARCHAR, Launch_year VARCHAR, RAM_MiB VARCHAR); CREATE TABLE phone (Hardware_Model_name VARCHAR, chip_model VARCHAR)
|
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What are the wifi and screen mode type of the hardware model named "LG-P760"?
|
SELECT T1.WiFi, T3.Type FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T2.Hardware_Model_name = "LG-P760"
|
CREATE TABLE phone (chip_model VARCHAR, screen_mode VARCHAR, Hardware_Model_name VARCHAR); CREATE TABLE chip_model (WiFi VARCHAR, Model_name VARCHAR); CREATE TABLE screen_mode (Type VARCHAR, Graphics_mode VARCHAR)
|
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List the hardware model name for the phones that have screen mode type "Text" or RAM size greater than 32.
|
SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T3.Type = "Text" OR T1.RAM_MiB > 32
|
CREATE TABLE chip_model (Model_name VARCHAR, RAM_MiB VARCHAR); CREATE TABLE phone (Hardware_Model_name VARCHAR, chip_model VARCHAR, screen_mode VARCHAR); CREATE TABLE screen_mode (Graphics_mode VARCHAR, Type VARCHAR)
|
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List the hardware model name for the phones that were produced by "Nokia Corporation" or whose screen mode type is "Graphics."
|
SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics" OR t2.Company_name = "Nokia Corporation"
|
CREATE TABLE phone (Hardware_Model_name VARCHAR, screen_mode VARCHAR); CREATE TABLE screen_mode (Graphics_mode VARCHAR, Type VARCHAR)
|
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] |
List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text.
|
SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE t2.Company_name = "Nokia Corporation" AND T1.Type <> "Text"
|
CREATE TABLE phone (Hardware_Model_name VARCHAR, screen_mode VARCHAR); CREATE TABLE screen_mode (Graphics_mode VARCHAR, Type VARCHAR)
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List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.
|
SELECT DISTINCT T2.Hardware_Model_name, T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.used_kb BETWEEN 10 AND 15
|
CREATE TABLE phone (Hardware_Model_name VARCHAR, Company_name VARCHAR, screen_mode VARCHAR); CREATE TABLE screen_mode (Graphics_mode VARCHAR, used_kb INTEGER)
|
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[
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-100,
-100,
-100
] |
Find the number of phones for each accreditation type.
|
SELECT Accreditation_type, COUNT(*) FROM phone GROUP BY Accreditation_type
|
CREATE TABLE phone (Accreditation_type VARCHAR)
|
[
32100,
32106,
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951,
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[
3,
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14196,
4292,
15547,
257,
834,
6137,
6,
2847,
17161,
599,
1935,
61,
21680,
951,
350,
4630,
6880,
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476,
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15547,
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] |
Find the accreditation level that more than 3 phones use.
|
SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING COUNT(*) > 3
|
CREATE TABLE phone (Accreditation_level VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
951,
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Find the details for all chip models.
|
SELECT * FROM chip_model
|
CREATE TABLE chip_model (Id VARCHAR)
|
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How many models do not have the wifi function?
|
SELECT COUNT(*) FROM chip_model WHERE wifi = 'No'
|
CREATE TABLE chip_model (wifi VARCHAR)
|
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List all the model names sorted by their launch year.
|
SELECT model_name FROM chip_model ORDER BY launch_year
|
CREATE TABLE chip_model (model_name VARCHAR, launch_year VARCHAR)
|
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[
3,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the average ram mib size of the chip models that are never used by any phone.
|
SELECT AVG(RAM_MiB) FROM chip_model WHERE NOT model_name IN (SELECT chip_model FROM phone)
|
CREATE TABLE chip_model (RAM_MiB INTEGER, model_name VARCHAR, chip_model VARCHAR); CREATE TABLE phone (RAM_MiB INTEGER, model_name VARCHAR, chip_model VARCHAR)
|
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71,
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279,
61,
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6591,
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] |
Find the names of the chip models that are not used by any phone with full accreditation type.
|
SELECT model_name FROM chip_model EXCEPT SELECT chip_model FROM phone WHERE Accreditation_type = 'Full'
|
CREATE TABLE chip_model (model_name VARCHAR, chip_model VARCHAR, Accreditation_type VARCHAR); CREATE TABLE phone (model_name VARCHAR, chip_model VARCHAR, Accreditation_type VARCHAR)
|
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32100,
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Find the pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.
|
SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Provisional' INTERSECT SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Full'
|
CREATE TABLE phone (screen_mode VARCHAR, Accreditation_type VARCHAR); CREATE TABLE screen_mode (pixels VARCHAR, Graphics_mode VARCHAR)
|
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] |
How many countries are there in total?
|
SELECT COUNT(*) FROM country
|
CREATE TABLE country (Id VARCHAR)
|
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] |
Show the country name and capital of all countries.
|
SELECT Country_name, Capital FROM country
|
CREATE TABLE country (Country_name VARCHAR, Capital VARCHAR)
|
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32100,
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Show all official native languages that contain the word "English".
|
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"
|
CREATE TABLE country (Official_native_language VARCHAR)
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Show all distinct positions of matches.
|
SELECT DISTINCT POSITION FROM match_season
|
CREATE TABLE match_season (POSITION VARCHAR)
|
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Show the players from college UCLA.
|
SELECT Player FROM match_season WHERE College = "UCLA"
|
CREATE TABLE match_season (Player VARCHAR, College VARCHAR)
|
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Show the distinct position of players from college UCLA or Duke.
|
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"
|
CREATE TABLE match_season (POSITION VARCHAR, College VARCHAR)
|
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] |
Show the draft pick numbers and draft classes of players whose positions are defenders.
|
SELECT Draft_Pick_Number, Draft_Class FROM match_season WHERE POSITION = "Defender"
|
CREATE TABLE match_season (Draft_Pick_Number VARCHAR, Draft_Class VARCHAR, POSITION VARCHAR)
|
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834,
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How many distinct teams are involved in match seasons?
|
SELECT COUNT(DISTINCT Team) FROM match_season
|
CREATE TABLE match_season (Team VARCHAR)
|
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] |
Show the players and the years played.
|
SELECT Player, Years_Played FROM player
|
CREATE TABLE player (Player VARCHAR, Years_Played VARCHAR)
|
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Show all team names.
|
SELECT Name FROM Team
|
CREATE TABLE Team (Name VARCHAR)
|
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Show the season, the player, and the name of the country that player belongs to.
|
SELECT T2.Season, T2.Player, T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country
|
CREATE TABLE match_season (Season VARCHAR, Player VARCHAR, Country VARCHAR); CREATE TABLE country (Country_name VARCHAR, Country_id VARCHAR)
|
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Which players are from Indonesia?
|
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"
|
CREATE TABLE country (Country_id VARCHAR, Country_name VARCHAR); CREATE TABLE match_season (Player VARCHAR, Country VARCHAR)
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What are the distinct positions of the players from a country whose capital is Dublin?
|
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"
|
CREATE TABLE country (Country_id VARCHAR, Capital VARCHAR); CREATE TABLE match_season (Position VARCHAR, Country VARCHAR)
|
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What are the official languages of the countries of players from Maryland or Duke college?
|
SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"
|
CREATE TABLE country (Official_native_language VARCHAR, Country_id VARCHAR); CREATE TABLE match_season (Country VARCHAR, College VARCHAR)
|
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How many distinct official languages are there among countries of players whose positions are defenders.
|
SELECT COUNT(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
|
CREATE TABLE country (Official_native_language VARCHAR, Country_id VARCHAR); CREATE TABLE match_season (Country VARCHAR, Position VARCHAR)
|
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Show the season, the player, and the name of the team that players belong to.
|
SELECT T1.Season, T1.Player, T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
|
CREATE TABLE team (Name VARCHAR, Team_id VARCHAR); CREATE TABLE match_season (Season VARCHAR, Player VARCHAR, Team VARCHAR)
|
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Show the positions of the players from the team with name "Ryley Goldner".
|
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
|
CREATE TABLE match_season (Position VARCHAR, Team VARCHAR); CREATE TABLE team (Team_id VARCHAR, Name VARCHAR)
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
How many distinct colleges are associated with players from the team with name "Columbus Crew".
|
SELECT COUNT(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
|
CREATE TABLE match_season (College VARCHAR, Team VARCHAR); CREATE TABLE team (Team_id VARCHAR, Name VARCHAR)
|
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Show the players and years played for players from team "Columbus Crew".
|
SELECT T1.Player, T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
|
CREATE TABLE player (Player VARCHAR, Years_Played VARCHAR, Team VARCHAR); CREATE TABLE team (Team_id VARCHAR, Name VARCHAR)
|
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Show the position of players and the corresponding number of players.
|
SELECT POSITION, COUNT(*) FROM match_season GROUP BY POSITION
|
CREATE TABLE match_season (POSITION VARCHAR)
|
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] |
Show the country names and the corresponding number of players.
|
SELECT Country_name, COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name
|
CREATE TABLE match_season (Country VARCHAR); CREATE TABLE country (Country_name VARCHAR, Country_id VARCHAR)
|
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