Datasets:
SALT-NLP
/
spider_VALUE

Dataset card Data Studio Files Community
db_id
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4
31
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18
577
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university_basketball
SELECT sum(enrollment) , min(enrollment) FROM university
Return the total and minimum enrollments across all schools.
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university_basketball
SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation
Find the total student enrollment for different affiliation type schools.
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university_basketball
SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation
What-all are the total enrollments of each affiliation type universities?
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university_basketball
SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match)
How many schools do not participate in basketball no match?
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university_basketball
SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match)
Are Counting the number of universities that is not participating in baketball no match.
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university_basketball
SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public'
Find the schools that have been either founded them after 1850 or public.
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university_basketball
SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public'
What-all are the schools that was either a-founded before 1850 or are public?
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university_basketball
SELECT count(DISTINCT affiliation) FROM university
Find how many different affiliation types there is.
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university_basketball
SELECT count(DISTINCT affiliation) FROM university
Count the different affiliation types number.
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university_basketball
SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%"
Find how many school locations have the word 'NY'.
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university_basketball
SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%"
How many universities have a that is containing NY location?
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university_basketball
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)
Are Finding the team names of the universities whose are smaller than the average enrollment size.
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university_basketball
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)
What-all are the names of teams from universities have a below average enrollment?
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university_basketball
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation
Are Finding the number of universities have over a 20000 enrollment size for each affiliation type.
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university_basketball
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation
What-all are the different affiliations, and so how many schools with each have an enrollment size of above 20000?
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university_basketball
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation
Find the total number of students enrolled in the colleges that was founded them after the year of 1850 for each affiliation type.
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university_basketball
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation
What-all are the different affiliations, and what-all is the total enrollment of schools founded after 1850 for each enrollment type?
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university_basketball
SELECT max(Enrollment) FROM university
What-all is the maximum enrollment across all schools?
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university_basketball
SELECT max(Enrollment) FROM university
Are Returning the maximum enrollment across all schools.
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university_basketball
SELECT * FROM basketball_match
Are Listing all informations a-regarding the basketballs match.
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[ "Are", "Listing", "all", "informations", "a-regarding", "the", "basketballs", "match." ]
university_basketball
SELECT * FROM basketball_match
What-all is all the information about the basketball match?
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university_basketball
SELECT team_name FROM basketball_match ORDER BY All_Home DESC
List names of all teams in the basketball competition, ordered by all home scores in a-descending order.
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university_basketball
SELECT team_name FROM basketball_match ORDER BY All_Home DESC
What-all are the names of all the teams in the basketballs competitions, sorted by all home scores in a-descending orders?
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phone_1
SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004;
the names of models had launched between 2002 and 2004.
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phone_1
SELECT Model_name , RAM_MiB FROM chip_model ORDER BY RAM_MiB ASC LIMIT 1;
Which model has the least amount of RAM? List the model name and the amount of RAM.
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phone_1
SELECT chip_model , screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760";
What-all are the chip model and screen mode of the phone with hardware model name "LG-P760"?
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phone_1
SELECT count(*) FROM phone WHERE Company_name = "Nokia Corporation";
How many phone hardware models are a-produced by the companys a-named "Nokia Corporation"?
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phone_1
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";
What-all is maximum and minimum RAM size of phone a-produced by company a-named "Nokia Corporation"?
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phone_1
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";
What-all is the average ROM size of phones produced by the companys named "Nokia Corporation"?
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phone_1
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;
Are Listing the hardware model name and company name for all the phones that was a-launched in year 2002 or have RAM size more greater as 32.
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phone_1
SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full';
Find all phones have word 'Full' in theirn accreditation types. List the Hardware Model name and Company name.
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phone_1
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";
Find the Char cells, Pixels and Hardware colours for the screen of the phone what's hardware model is "LG-P760".
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phone_1
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";
Are Listing the hardware model and company name the phone name what's screen mode is "Graphics."
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phone_1
SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1;
Are Finding the name of the company has the least number of phone models. Are Listing the company name and the number of phone model a-produced by that there company.
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phone_1
SELECT Company_name FROM phone GROUP BY Company_name HAVING count(*) > 1;
Are Listing the name of the companys that produce more than one phone model.
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phone_1
SELECT max(used_kb) , min(used_kb) , avg(used_kb) FROM screen_mode;
List the maximum, minimum and average number of a-used kb in screen mode.
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phone_1
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;
List the name of the phone model a-launched in year 2002 and with the highest RAM size.
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[ "List", "the", "name", "of", "the", "phone", "model", "a-launched", "in", "year", "2002", "and", "with", "the", "highest", "RAM", "size." ]
phone_1
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";
What-all are the wifi and screen mode type of the hardware model named "LG-P760"?
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[ "What-all", "are", "the", "wifi", "and", "screen", "mode", "type", "of", "the", "hardware", "model", "named", "\"LG-P760\"?" ]
phone_1
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;
Are Listing the hardware model name for the phones have screen mode type "Text" or RAM size greater than 32.
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[ "Are", "Listing", "the", "hardware", "model", "name", "for", "the", "phones", "have", "screen", "mode", "type", "\"Text\"", "or", "RAM", "size", "greater", "than", "32." ]
phone_1
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"
Are Listing the hardware model name for the phones that was produced them by "Nokia Corporation" or whose screen mode types are "Graphics."
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[ "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", "=", "value", "or", "t2", ".", "company_name", "=", "value" ]
[ "Are", "Listing", "the", "hardware", "model", "name", "for", "the", "phones", "that", "was", "produced", "them", "by", "\"Nokia", "Corporation\"", "or", "whose", "screen", "mode", "types", "are", "\"Graphics.\"" ]
phone_1
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";
Are Listing the hardware model name for the phons that was produced them by "Nokia Corporation" but whose screen mode type ain't Text.
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[ "Are", "Listing", "the", "hardware", "model", "name", "for", "the", "phons", "that", "was", "produced", "them", "by", "\"Nokia", "Corporation\"", "but", "whose", "screen", "mode", "type", "ain't", "Text." ]
phone_1
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;
List the phone hardware model and company name for the phones whose-all screen usage in kb is between 10 and 15.
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[ "List", "the", "phone", "hardware", "model", "and", "company", "name", "for", "the", "phones", "whose-all", "screen", "usage", "in", "kb", "is", "between", "10", "and", "15." ]
phone_1
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type
Find the number of phones for each accreditation type.
[ "SELECT", "Accreditation_type", ",", "count", "(", "*", ")", "FROM", "phone", "GROUP", "BY", "Accreditation_type" ]
[ "select", "accreditation_type", ",", "count", "(", "*", ")", "from", "phone", "group", "by", "accreditation_type" ]
[ "Find", "the", "number", "of", "phones", "for", "each", "accreditation", "type." ]
phone_1
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type
How many phones are belonging to each accreditation type?
[ "SELECT", "Accreditation_type", ",", "count", "(", "*", ")", "FROM", "phone", "GROUP", "BY", "Accreditation_type" ]
[ "select", "accreditation_type", ",", "count", "(", "*", ")", "from", "phone", "group", "by", "accreditation_type" ]
[ "How", "many", "phones", "are", "belonging", "to", "each", "accreditation", "type?" ]
phone_1
SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3
Find the accreditation level that more than 3 phones use.
[ "SELECT", "Accreditation_level", "FROM", "phone", "GROUP", "BY", "Accreditation_level", "HAVING", "count", "(", "*", ")", ">", "3" ]
[ "select", "accreditation_level", "from", "phone", "group", "by", "accreditation_level", "having", "count", "(", "*", ")", ">", "value" ]
[ "Find", "the", "accreditation", "level", "that", "more", "than", "3", "phones", "use." ]
phone_1
SELECT * FROM chip_model
Are Finding the details for all chip models.
[ "SELECT", "*", "FROM", "chip_model" ]
[ "select", "*", "from", "chip_model" ]
[ "Are", "Finding", "the", "details", "for", "all", "chip", "models." ]
phone_1
SELECT count(*) FROM chip_model WHERE wifi = 'No'
How many models do ain't wifi no function?
[ "SELECT", "count", "(", "*", ")", "FROM", "chip_model", "WHERE", "wifi", "=", "'No", "'" ]
[ "select", "count", "(", "*", ")", "from", "chip_model", "where", "wifi", "=", "value" ]
[ "How", "many", "models", "do", "ain't", "wifi", "no", "function?" ]
phone_1
SELECT count(*) FROM chip_model WHERE wifi = 'No'
Count the number of chip model that do ain't no wifi.
[ "SELECT", "count", "(", "*", ")", "FROM", "chip_model", "WHERE", "wifi", "=", "'No", "'" ]
[ "select", "count", "(", "*", ")", "from", "chip_model", "where", "wifi", "=", "value" ]
[ "Count", "the", "number", "of", "chip", "model", "that", "do", "ain't", "no", "wifi." ]
phone_1
SELECT model_name FROM chip_model ORDER BY launch_year
Are Listing all the model names a-sorted by theirn launch year.
[ "SELECT", "model_name", "FROM", "chip_model", "ORDER", "BY", "launch_year" ]
[ "select", "model_name", "from", "chip_model", "order", "by", "launch_year" ]
[ "Are", "Listing", "all", "the", "model", "names", "a-sorted", "by", "theirn", "launch", "year." ]
phone_1
SELECT avg(RAM_MiB) FROM chip_model WHERE model_name NOT IN (SELECT chip_model FROM phone)
Find the average ram mib size of the chip models that ain't a-used by any phone.
[ "SELECT", "avg", "(", "RAM_MiB", ")", "FROM", "chip_model", "WHERE", "model_name", "NOT", "IN", "(", "SELECT", "chip_model", "FROM", "phone", ")" ]
[ "select", "avg", "(", "ram_mib", ")", "from", "chip_model", "where", "model_name", "not", "in", "(", "select", "chip_model", "from", "phone", ")" ]
[ "Find", "the", "average", "ram", "mib", "size", "of", "the", "chip", "models", "that", "ain't", "a-used", "by", "any", "phone." ]
phone_1
SELECT model_name FROM chip_model EXCEPT SELECT chip_model FROM phone WHERE Accreditation_type = 'Full'
Find the names of the chip models that ain't a-used by any phone with full accreditation type.
[ "SELECT", "model_name", "FROM", "chip_model", "EXCEPT", "SELECT", "chip_model", "FROM", "phone", "WHERE", "Accreditation_type", "=", "'Full", "'" ]
[ "select", "model_name", "from", "chip_model", "except", "select", "chip_model", "from", "phone", "where", "accreditation_type", "=", "value" ]
[ "Find", "the", "names", "of", "the", "chip", "models", "that", "ain't", "a-used", "by", "any", "phone", "with", "full", "accreditation", "type." ]
phone_1
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'
Are Finding the pixels of the screen modes that are a-used by both phones with full accreditation types and phones with Provisional accreditation types.
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[ "select", "t1", ".", "pixels", "from", "screen_mode", "as", "t1", "join", "phone", "as", "t2", "on", "t1", ".", "graphics_mode", "=", "t2", ".", "screen_mode", "where", "t2", ".", "accreditation_type", "=", "value", "intersect", "select", "t1", ".", "pixels", "from", "screen_mode", "as", "t1", "join", "phone", "as", "t2", "on", "t1", ".", "graphics_mode", "=", "t2", ".", "screen_mode", "where", "t2", ".", "accreditation_type", "=", "value" ]
[ "Are", "Finding", "the", "pixels", "of", "the", "screen", "modes", "that", "are", "a-used", "by", "both", "phones", "with", "full", "accreditation", "types", "and", "phones", "with", "Provisional", "accreditation", "types." ]
match_season
SELECT count(*) FROM country
How many countries are there in total?
[ "SELECT", "count", "(", "*", ")", "FROM", "country" ]
[ "select", "count", "(", "*", ")", "from", "country" ]
[ "How", "many", "countries", "are", "there", "in", "total?" ]
match_season
SELECT count(*) FROM country
Are Counting the number of countries.
[ "SELECT", "count", "(", "*", ")", "FROM", "country" ]
[ "select", "count", "(", "*", ")", "from", "country" ]
[ "Are", "Counting", "the", "number", "of", "countries." ]
match_season
SELECT Country_name , Capital FROM country
Are Showing the country name and capital of all countries.
[ "SELECT", "Country_name", ",", "Capital", "FROM", "country" ]
[ "select", "country_name", ",", "capital", "from", "country" ]
[ "Are", "Showing", "the", "country", "name", "and", "capital", "of", "all", "countries." ]
match_season
SELECT Country_name , Capital FROM country
What-all are the names and capitals of each country?
[ "SELECT", "Country_name", ",", "Capital", "FROM", "country" ]
[ "select", "country_name", ",", "capital", "from", "country" ]
[ "What-all", "are", "the", "names", "and", "capitals", "of", "each", "country?" ]
match_season
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"
Show all official native contain the word languages "English".
[ "SELECT", "Official_native_language", "FROM", "country", "WHERE", "Official_native_language", "LIKE", "``", "%", "English", "%", "''" ]
[ "select", "official_native_language", "from", "country", "where", "official_native_language", "like", "value" ]
[ "Show", "all", "official", "native", "contain", "the", "word", "languages", "\"English\"." ]
match_season
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"
What-all are the official native languages that is containing the "English string".
[ "SELECT", "Official_native_language", "FROM", "country", "WHERE", "Official_native_language", "LIKE", "``", "%", "English", "%", "''" ]
[ "select", "official_native_language", "from", "country", "where", "official_native_language", "like", "value" ]
[ "What-all", "are", "the", "official", "native", "languages", "that", "is", "containing", "the", "\"English", "string\"." ]
match_season
SELECT DISTINCT POSITION FROM match_season
Are Showing all distinct positions of matches.
[ "SELECT", "DISTINCT", "POSITION", "FROM", "match_season" ]
[ "select", "distinct", "position", "from", "match_season" ]
[ "Are", "Showing", "all", "distinct", "positions", "of", "matches." ]
match_season
SELECT DISTINCT POSITION FROM match_season
What-all are the different positions for match season?
[ "SELECT", "DISTINCT", "POSITION", "FROM", "match_season" ]
[ "select", "distinct", "position", "from", "match_season" ]
[ "What-all", "are", "the", "different", "positions", "for", "match", "season?" ]
match_season
SELECT Player FROM match_season WHERE College = "UCLA"
Are Showing the college UCLA players.
[ "SELECT", "Player", "FROM", "match_season", "WHERE", "College", "=", "``", "UCLA", "''" ]
[ "select", "player", "from", "match_season", "where", "college", "=", "value" ]
[ "Are", "Showing", "the", "college", "UCLA", "players." ]
match_season
SELECT Player FROM match_season WHERE College = "UCLA"
Who-all are the players from UCLA?
[ "SELECT", "Player", "FROM", "match_season", "WHERE", "College", "=", "``", "UCLA", "''" ]
[ "select", "player", "from", "match_season", "where", "college", "=", "value" ]
[ "Who-all", "are", "the", "players", "from", "UCLA?" ]
match_season
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"
Show the distinct position of players from college UCLA or Duke.
[ "SELECT", "DISTINCT", "POSITION", "FROM", "match_season", "WHERE", "College", "=", "``", "UCLA", "''", "OR", "College", "=", "``", "Duke", "''" ]
[ "select", "distinct", "position", "from", "match_season", "where", "college", "=", "value", "or", "college", "=", "value" ]
[ "Show", "the", "distinct", "position", "of", "players", "from", "college", "UCLA", "or", "Duke." ]
match_season
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"
What-all are the different positions of players from UCLA or Duke colleges?
[ "SELECT", "DISTINCT", "POSITION", "FROM", "match_season", "WHERE", "College", "=", "``", "UCLA", "''", "OR", "College", "=", "``", "Duke", "''" ]
[ "select", "distinct", "position", "from", "match_season", "where", "college", "=", "value", "or", "college", "=", "value" ]
[ "What-all", "are", "the", "different", "positions", "of", "players", "from", "UCLA", "or", "Duke", "colleges?" ]
match_season
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"
Show the drafts pick numbers and drafts classes of players whose positions are defenders.
[ "SELECT", "Draft_Pick_Number", ",", "Draft_Class", "FROM", "match_season", "WHERE", "POSITION", "=", "``", "Defender", "''" ]
[ "select", "draft_pick_number", ",", "draft_class", "from", "match_season", "where", "position", "=", "value" ]
[ "Show", "the", "drafts", "pick", "numbers", "and", "drafts", "classes", "of", "players", "whose", "positions", "are", "defenders." ]
match_season
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"
What-all are the draft are picking numbers and draft classes for is playing the Defender position players?
[ "SELECT", "Draft_Pick_Number", ",", "Draft_Class", "FROM", "match_season", "WHERE", "POSITION", "=", "``", "Defender", "''" ]
[ "select", "draft_pick_number", ",", "draft_class", "from", "match_season", "where", "position", "=", "value" ]
[ "What-all", "are", "the", "draft", "are", "picking", "numbers", "and", "draft", "classes", "for", "is", "playing", "the", "Defender", "position", "players?" ]
match_season
SELECT count(DISTINCT Team) FROM match_season
How many distinct teams are involved in match seasons?
[ "SELECT", "count", "(", "DISTINCT", "Team", ")", "FROM", "match_season" ]
[ "select", "count", "(", "distinct", "team", ")", "from", "match_season" ]
[ "How", "many", "distinct", "teams", "are", "involved", "in", "match", "seasons?" ]
match_season
SELECT count(DISTINCT Team) FROM match_season
Are Counting the number of different teams involved in match season.
[ "SELECT", "count", "(", "DISTINCT", "Team", ")", "FROM", "match_season" ]
[ "select", "count", "(", "distinct", "team", ")", "from", "match_season" ]
[ "Are", "Counting", "the", "number", "of", "different", "teams", "involved", "in", "match", "season." ]
match_season
SELECT Player , Years_Played FROM player
Are Showing the players and the years play.
[ "SELECT", "Player", ",", "Years_Played", "FROM", "player" ]
[ "select", "player", ",", "years_played", "from", "player" ]
[ "Are", "Showing", "the", "players", "and", "the", "years", "play." ]
match_season
SELECT Player , Years_Played FROM player
Who-all are the different players and how many years each played?
[ "SELECT", "Player", ",", "Years_Played", "FROM", "player" ]
[ "select", "player", ",", "years_played", "from", "player" ]
[ "Who-all", "are", "the", "different", "players", "and", "how", "many", "years", "each", "played?" ]
match_season
SELECT Name FROM Team
Show all team names.
[ "SELECT", "Name", "FROM", "Team" ]
[ "select", "name", "from", "team" ]
[ "Show", "all", "team", "names." ]
match_season
SELECT Name FROM Team
What-all are the names of all teams?
[ "SELECT", "Name", "FROM", "Team" ]
[ "select", "name", "from", "team" ]
[ "What-all", "are", "the", "names", "of", "all", "teams?" ]
match_season
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country
Show the season, the player, and the name of the countrys that belongs it to.
[ "SELECT", "T2.Season", ",", "T2.Player", ",", "T1.Country_name", "FROM", "country", "AS", "T1", "JOIN", "match_season", "AS", "T2", "ON", "T1.Country_id", "=", "T2.Country" ]
[ "select", "t2", ".", "season", ",", "t2", ".", "player", ",", "t1", ".", "country_name", "from", "country", "as", "t1", "join", "match_season", "as", "t2", "on", "t1", ".", "country_id", "=", "t2", ".", "country" ]
[ "Show", "the", "season,", "the", "player,", "and", "the", "name", "of", "the", "countrys", "that", "belongs", "it", "to." ]
match_season
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country
For each player, what are theirn name, season, and countrys that they belong to?
[ "SELECT", "T2.Season", ",", "T2.Player", ",", "T1.Country_name", "FROM", "country", "AS", "T1", "JOIN", "match_season", "AS", "T2", "ON", "T1.Country_id", "=", "T2.Country" ]
[ "select", "t2", ".", "season", ",", "t2", ".", "player", ",", "t1", ".", "country_name", "from", "country", "as", "t1", "join", "match_season", "as", "t2", "on", "t1", ".", "country_id", "=", "t2", ".", "country" ]
[ "For", "each", "player,", "what", "are", "theirn", "name,", "season,", "and", "countrys", "that", "they", "belong", "to?" ]
match_season
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"
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", "''" ]
[ "select", "t2", ".", "player", "from", "country", "as", "t1", "join", "match_season", "as", "t2", "on", "t1", ".", "country_id", "=", "t2", ".", "country", "where", "t1", ".", "country_name", "=", "value" ]
[ "Which", "players", "are", "from", "Indonesia?" ]
match_season
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"
Who-all are the players from Indonesia?
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[ "Who-all", "are", "the", "players", "from", "Indonesia?" ]
match_season
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"
What-all are the distinct positions of the players from a countrys whose is Dublin?
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[ "What-all", "are", "the", "distinct", "positions", "of", "the", "players", "from", "a", "countrys", "whose", "is", "Dublin?" ]
match_season
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"
Give the different positions of players which play for the country with the capital Dublin.
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[ "Give", "the", "different", "positions", "of", "players", "which", "play", "for", "the", "country", "with", "the", "capital", "Dublin." ]
match_season
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"
What-all are the official languages of the countries of players from Maryland or Duke college?
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[ "What-all", "are", "the", "official", "languages", "of", "the", "countries", "of", "players", "from", "Maryland", "or", "Duke", "college?" ]
match_season
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"
Return the official native languages of countries have players from Maryland or Duke colleges.
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[ "Return", "the", "official", "native", "languages", "of", "countries", "have", "players", "from", "Maryland", "or", "Duke", "colleges." ]
match_season
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"
How many distinct official languages are there among countries of players whose are defenders.
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[ "How", "many", "distinct", "official", "languages", "are", "there", "among", "countries", "of", "players", "whose", "are", "defenders." ]
match_season
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"
Count the number of different official languages a-corresponding to countries that players who play Defender are from.
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[ "Count", "the", "number", "of", "different", "official", "languages", "a-corresponding", "to", "countries", "that", "players", "who", "play", "Defender", "are", "from." ]
match_season
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
Show the season, the player, and the name of the team that belong to.
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[ "Show", "the", "season,", "the", "player,", "and", "the", "name", "of", "the", "team", "that", "belong", "to." ]
match_season
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
Who-all are the different players, what season are they playing in, and what is the name of the team they are on?
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[ "select", "t1", ".", "season", ",", "t1", ".", "player", ",", "t2", ".", "name", "from", "match_season", "as", "t1", "join", "team", "as", "t2", "on", "t1", ".", "team", "=", "t2", ".", "team_id" ]
[ "Who-all", "are", "the", "different", "players,", "what", "season", "are", "they", "playing", "in,", "and", "what", "is", "the", "name", "of", "the", "team", "they", "are", "on?" ]
match_season
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
Show the positions of the players from the team with name "Ryley Goldner".
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[ "Show", "the", "positions", "of", "the", "players", "from", "the", "team", "with", "name", "\"Ryley", "Goldner\"." ]
match_season
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
Are Returning the positions of players on the team Ryley Goldner.
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[ "select", "t1", ".", "position", "from", "match_season", "as", "t1", "join", "team", "as", "t2", "on", "t1", ".", "team", "=", "t2", ".", "team_id", "where", "t2", ".", "name", "=", "value" ]
[ "Are", "Returning", "the", "positions", "of", "players", "on", "the", "team", "Ryley", "Goldner." ]
match_season
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"
How many distinct colleges are a-associated with players from the team with name "Columbus Crew".
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[ "How", "many", "distinct", "colleges", "are", "a-associated", "with", "players", "from", "the", "team", "with", "name", "\"Columbus", "Crew\"." ]
match_season
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"
Count the number of different colleges that play for Columbus Crew are from.
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[ "Count", "the", "number", "of", "different", "colleges", "that", "play", "for", "Columbus", "Crew", "are", "from." ]
match_season
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"
Are Showing the players and years a-played for players from team "Columbus Crew".
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[ "Are", "Showing", "the", "players", "and", "years", "a-played", "for", "players", "from", "team", "\"Columbus", "Crew\"." ]
match_season
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"
What-all are the players had played for Columbus Crew, and so how many years is each playing for?
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[ "What-all", "are", "the", "players", "had", "played", "for", "Columbus", "Crew,", "and", "so", "how", "many", "years", "is", "each", "playing", "for?" ]
match_season
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION
Are Showing the position of players and the corresponding number of players.
[ "SELECT", "POSITION", ",", "COUNT", "(", "*", ")", "FROM", "match_season", "GROUP", "BY", "POSITION" ]
[ "select", "position", ",", "count", "(", "*", ")", "from", "match_season", "group", "by", "position" ]
[ "Are", "Showing", "the", "position", "of", "players", "and", "the", "corresponding", "number", "of", "players." ]
match_season
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION
It is each position that how many players play?
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[ "select", "position", ",", "count", "(", "*", ")", "from", "match_season", "group", "by", "position" ]
[ "It", "is", "each", "position", "that", "how", "many", "players", "play?" ]
match_season
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name
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" ]
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[ "Show", "the", "country", "names", "and", "the", "corresponding", "number", "of", "players." ]
match_season
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name
How many players are from each country?
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[ "select", "country_name", ",", "count", "(", "*", ")", "from", "country", "as", "t1", "join", "match_season", "as", "t2", "on", "t1", ".", "country_id", "=", "t2", ".", "country", "group", "by", "t1", ".", "country_name" ]
[ "How", "many", "players", "are", "from", "each", "country?" ]
match_season
SELECT player FROM match_season ORDER BY College ASC
Are Returning all players sorted by college in a-ascending alphabetical order.
[ "SELECT", "player", "FROM", "match_season", "ORDER", "BY", "College", "ASC" ]
[ "select", "player", "from", "match_season", "order", "by", "college", "asc" ]
[ "Are", "Returning", "all", "players", "sorted", "by", "college", "in", "a-ascending", "alphabetical", "order." ]
match_season
SELECT player FROM match_season ORDER BY College ASC
What-all are all the players had played in match season, sorted by college in ascending alphabetical order?
[ "SELECT", "player", "FROM", "match_season", "ORDER", "BY", "College", "ASC" ]
[ "select", "player", "from", "match_season", "order", "by", "college", "asc" ]
[ "What-all", "are", "all", "the", "players", "had", "played", "in", "match", "season,", "sorted", "by", "college", "in", "ascending", "alphabetical", "order?" ]
match_season
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1
Are Showing the most common position of players in match seasons.
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[ "select", "position", "from", "match_season", "group", "by", "position", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "Are", "Showing", "the", "most", "common", "position", "of", "players", "in", "match", "seasons." ]
match_season
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1
What-all is the position is most common among players in match seasons?
[ "SELECT", "POSITION", "FROM", "match_season", "GROUP", "BY", "POSITION", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "1" ]
[ "select", "position", "from", "match_season", "group", "by", "position", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "What-all", "is", "the", "position", "is", "most", "common", "among", "players", "in", "match", "seasons?" ]
match_season
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3
Are Showing the top 3 most common colleges of players in match seasons.
[ "SELECT", "College", "FROM", "match_season", "GROUP", "BY", "College", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "3" ]
[ "select", "college", "from", "match_season", "group", "by", "college", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "Are", "Showing", "the", "top", "3", "most", "common", "colleges", "of", "players", "in", "match", "seasons." ]
match_season
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3
What-all are the three college from which the most players are from?
[ "SELECT", "College", "FROM", "match_season", "GROUP", "BY", "College", "ORDER", "BY", "count", "(", "*", ")", "DESC", "LIMIT", "3" ]
[ "select", "college", "from", "match_season", "group", "by", "college", "order", "by", "count", "(", "*", ")", "desc", "limit", "value" ]
[ "What-all", "are", "the", "three", "college", "from", "which", "the", "most", "players", "are", "from?" ]