training_input
stringlengths
118
1.06k
###context:CREATE TABLE table_name_3 (cores VARCHAR, part_number_s_ VARCHAR, release_date VARCHAR, release_price___usd__ VARCHAR) ###human: How many cores does the processor released in April 2012 with a price of $393 and part number av8063801117503 have? ###assistant: SELECT cores FROM table_name_3 WHERE release_date = "april 2012" AND release_price___usd__ = "$393" AND part_number_s_ = "av8063801117503"
###context:CREATE TABLE table_name_45 (area_km² VARCHAR, country VARCHAR) ###human: What is Japan's Area km²? ###assistant: SELECT area_km² FROM table_name_45 WHERE country = "japan"
###context:CREATE TABLE table_name_98 (island VARCHAR, density__per_km²_ VARCHAR) ###human: Which island has a density (per km²) of 1,368? ###assistant: SELECT island FROM table_name_98 WHERE density__per_km²_ = "1,368"
###context:CREATE TABLE table_name_32 (country VARCHAR, density__per_km²_ VARCHAR) ###human: Which country has a density (per km²) of 6,814? ###assistant: SELECT country FROM table_name_32 WHERE density__per_km²_ = "6,814"
###context:CREATE TABLE table_name_20 (island VARCHAR, population VARCHAR) ###human: Which island has a population of 9,520 (2000)? ###assistant: SELECT island FROM table_name_20 WHERE population = "9,520 (2000)"
###context:CREATE TABLE table_name_99 (area_km² VARCHAR, population VARCHAR) ###human: What is the area km² for a population of 99,685 (2008)? ###assistant: SELECT area_km² FROM table_name_99 WHERE population = "99,685 (2008)"
###context:CREATE TABLE table_name_43 (island VARCHAR, country VARCHAR) ###human: Which island is in the United Kingdom? ###assistant: SELECT island FROM table_name_43 WHERE country = "united kingdom"
###context:CREATE TABLE table_name_40 (pitcher VARCHAR, location VARCHAR, season VARCHAR) ###human: Who is the pitcher from the 1983 season in location Kingdome? ###assistant: SELECT pitcher FROM table_name_40 WHERE location = "kingdome" AND season = "1983"
###context:CREATE TABLE table_name_5 (pitcher VARCHAR, opponent VARCHAR, season VARCHAR) ###human: Who is the pitcher from the 1994 season that had the Cleveland Indians as an opponent? ###assistant: SELECT pitcher FROM table_name_5 WHERE opponent = "cleveland indians" AND season = "1994"
###context:CREATE TABLE table_name_11 (opponent VARCHAR, decision VARCHAR, season VARCHAR) ###human: Who is the opponent for the 2011 season with a decision of W? ###assistant: SELECT opponent FROM table_name_11 WHERE decision = "w" AND season = "2011"
###context:CREATE TABLE table_name_60 (season VARCHAR, opponent VARCHAR, location VARCHAR, decision VARCHAR) ###human: What season was played at Safeco Field, against the Boston Red Sox, with a decision of L? ###assistant: SELECT season FROM table_name_60 WHERE location = "safeco field" AND decision = "l" AND opponent = "boston red sox"
###context:CREATE TABLE table_name_35 (decision VARCHAR, opponent VARCHAR, season VARCHAR) ###human: What was the decision for the 1983 season for the game played against the New York Yankees? ###assistant: SELECT decision FROM table_name_35 WHERE opponent = "new york yankees" AND season = "1983"
###context:CREATE TABLE table_name_44 (encoding VARCHAR, tracks__side VARCHAR, sectors__track VARCHAR) ###human: what is the encoding when the tracks/side is 80 and sectors/track is 11? ###assistant: SELECT encoding FROM table_name_44 WHERE tracks__side = "80" AND sectors__track = "11"
###context:CREATE TABLE table_name_16 (bronze INTEGER, total INTEGER) ###human: What is the highest bronze for less than 2 total trophies? ###assistant: SELECT MAX(bronze) FROM table_name_16 WHERE total < 2
###context:CREATE TABLE table_name_64 (total INTEGER, finish VARCHAR, year_won VARCHAR) ###human: Which Total has a Finish of t64, and a Year won larger than 2006? ###assistant: SELECT MAX(total) FROM table_name_64 WHERE finish = "t64" AND year_won > 2006
###context:CREATE TABLE table_name_6 (year_won INTEGER, finish VARCHAR, country VARCHAR) ###human: Which year won has a Finish of t24, and a Country of england? ###assistant: SELECT AVG(year_won) FROM table_name_6 WHERE finish = "t24" AND country = "england"
###context:CREATE TABLE table_name_45 (bronze INTEGER, gold VARCHAR, rank VARCHAR, total VARCHAR, silver VARCHAR) ###human: What is the smallest bronze value for countries with totals over 2, golds of 0, silvers under 1, and ranks over 10? ###assistant: SELECT MIN(bronze) FROM table_name_45 WHERE total > 2 AND silver < 1 AND rank > 10 AND gold < 0
###context:CREATE TABLE table_name_53 (school VARCHAR, previous_conference VARCHAR, enrollment VARCHAR) ###human: Which school has an enrollment of A and had lost river as their previous conference? ###assistant: SELECT school FROM table_name_53 WHERE previous_conference = "lost river" AND enrollment = "a"
###context:CREATE TABLE table_name_43 (year_joined INTEGER, county VARCHAR) ###human: What is the average year joined of the 277 county? ###assistant: SELECT AVG(year_joined) FROM table_name_43 WHERE county = 277
###context:CREATE TABLE table_name_71 (ihsaa_class VARCHAR, county INTEGER) ###human: What is the IHSAA class of the county that is less than 228? ###assistant: SELECT ihsaa_class FROM table_name_71 WHERE county < 228
###context:CREATE TABLE table_name_12 (engine VARCHAR, transmission VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) ###human: What is the engine when the transmission was 4-speed automatic, and acceleration 0–100km/h (0–62mph) was 10.4 s? ###assistant: SELECT engine FROM table_name_12 WHERE transmission = "4-speed automatic" AND acceleration_0_100km_h__0_62mph_ = "10.4 s"
###context:CREATE TABLE table_name_49 (power VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) ###human: What is the Power when the acceleration 0–100km/h (0–62mph) is 9.1 s? ###assistant: SELECT power FROM table_name_49 WHERE acceleration_0_100km_h__0_62mph_ = "9.1 s"
###context:CREATE TABLE table_name_99 (transmission VARCHAR, engine VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) ###human: What is the transmission when the engine is 2.0l, and acceleration 0–100km/h (0–62mph) is 10.5 s? ###assistant: SELECT transmission FROM table_name_99 WHERE engine = "2.0l" AND acceleration_0_100km_h__0_62mph_ = "10.5 s"
###context:CREATE TABLE table_name_5 (production VARCHAR, engine VARCHAR, acceleration_0_100km_h__0_62mph_ VARCHAR) ###human: What is the production when engine is 2.7l, and acceleration 0–100km/h (0–62mph) is 8.5 s? ###assistant: SELECT production FROM table_name_5 WHERE engine = "2.7l" AND acceleration_0_100km_h__0_62mph_ = "8.5 s"
###context:CREATE TABLE table_name_29 (transmission VARCHAR, production VARCHAR) ###human: What is the transmission when the production was 2002-2005? ###assistant: SELECT transmission FROM table_name_29 WHERE production = "2002-2005"
###context:CREATE TABLE table_name_69 (acceleration_0_100km_h__0_62mph_ VARCHAR, transmission VARCHAR) ###human: What is the acceleration 0–100km/h (0–62mph) when the transmission is 5-speed manual? ###assistant: SELECT acceleration_0_100km_h__0_62mph_ FROM table_name_69 WHERE transmission = "5-speed manual"
###context:CREATE TABLE table_name_68 (year INTEGER, developer_s_ VARCHAR) ###human: What is the highest year for the Bethesda Game Studios Developer? ###assistant: SELECT MAX(year) FROM table_name_68 WHERE developer_s_ = "bethesda game studios"
###context:CREATE TABLE table_name_99 (year INTEGER, game VARCHAR) ###human: What is the lowest year for the game called The Elder Scrolls v: Skyrim? ###assistant: SELECT MIN(year) FROM table_name_99 WHERE game = "the elder scrolls v: skyrim"
###context:CREATE TABLE table_name_33 (genre VARCHAR, developer_s_ VARCHAR) ###human: What game was developed by Naughty Dog? ###assistant: SELECT genre FROM table_name_33 WHERE developer_s_ = "naughty dog"
###context:CREATE TABLE table_name_31 (imed_avicenna_listed VARCHAR, established VARCHAR, degree VARCHAR, regional_offshore VARCHAR, country_territory VARCHAR) ###human: What is the imed/avicenna listed for a medical school offshore in saint kitts and nevis which was established before 2000 and will give you an MD? ###assistant: SELECT imed_avicenna_listed FROM table_name_31 WHERE regional_offshore = "offshore" AND country_territory = "saint kitts and nevis" AND degree = "md" AND established < 2000
###context:CREATE TABLE table_name_15 (country_territory VARCHAR, imed_avicenna_listed VARCHAR, established VARCHAR) ###human: What country has a medical school established in 1969 with both an IMED and avicenna? ###assistant: SELECT country_territory FROM table_name_15 WHERE imed_avicenna_listed = "both" AND established = 1969
###context:CREATE TABLE table_name_86 (established INTEGER, country_territory VARCHAR) ###human: What is the average year that the medical school in dominican republic was established? ###assistant: SELECT AVG(established) FROM table_name_86 WHERE country_territory = "dominican republic"
###context:CREATE TABLE table_name_99 (wins INTEGER, against VARCHAR, byes VARCHAR) ###human: What are the most wins with byes more than 0 and 1637 against? ###assistant: SELECT MAX(wins) FROM table_name_99 WHERE against = 1637 AND byes > 0
###context:CREATE TABLE table_name_78 (byes VARCHAR, against VARCHAR, losses VARCHAR, sunrayia_fl VARCHAR) ###human: What are the total byes for the Red Cliffs with more than 4 losses and more than 2422 against? ###assistant: SELECT COUNT(byes) FROM table_name_78 WHERE losses > 4 AND sunrayia_fl = "red cliffs" AND against > 2422
###context:CREATE TABLE table_name_45 (wins VARCHAR, sunrayia_fl VARCHAR, byes VARCHAR) ###human: What's the total wins for Wentworth with less than 0 byes? ###assistant: SELECT COUNT(wins) FROM table_name_45 WHERE sunrayia_fl = "wentworth" AND byes < 0
###context:CREATE TABLE table_name_40 (venue VARCHAR, opponent VARCHAR, result VARCHAR) ###human: Which venue had an opponent of Sunderland and a result of a 1-1 draw? ###assistant: SELECT venue FROM table_name_40 WHERE opponent = "sunderland" AND result = "1-1"
###context:CREATE TABLE table_name_2 (attendance VARCHAR, opponent VARCHAR, result VARCHAR) ###human: What is the number of attendance values for ties having an opponent of Middlesbrough and result of 3-1? ###assistant: SELECT COUNT(attendance) FROM table_name_2 WHERE opponent = "middlesbrough" AND result = "3-1"
###context:CREATE TABLE table_name_35 (venue VARCHAR, result VARCHAR) ###human: Which venue ended in a 3-0 result? ###assistant: SELECT venue FROM table_name_35 WHERE result = "3-0"
###context:CREATE TABLE table_name_7 (venue VARCHAR, result VARCHAR) ###human: Where was a 0-5 game played? ###assistant: SELECT venue FROM table_name_7 WHERE result = "0-5"
###context:CREATE TABLE table_name_38 (rank INTEGER, matches INTEGER) ###human: What is the average rank of a player with fewer than 3 matches? ###assistant: SELECT AVG(rank) FROM table_name_38 WHERE matches < 3
###context:CREATE TABLE table_name_24 (opponent VARCHAR, date VARCHAR) ###human: Who was the opponent on April 21? ###assistant: SELECT opponent FROM table_name_24 WHERE date = "april 21"
###context:CREATE TABLE table_name_25 (record VARCHAR, location_attendance VARCHAR, date VARCHAR) ###human: What's the record on April 12 when the location was The Omni? ###assistant: SELECT record FROM table_name_25 WHERE location_attendance = "the omni" AND date = "april 12"
###context:CREATE TABLE table_name_91 (date VARCHAR) ###human: What date was the score "score"? ###assistant: SELECT date FROM table_name_91 WHERE "score" = "score"
###context:CREATE TABLE table_name_20 (score VARCHAR, game VARCHAR) ###human: What's the score of game 77? ###assistant: SELECT score FROM table_name_20 WHERE game = "77"
###context:CREATE TABLE table_name_17 (date VARCHAR, record VARCHAR) ###human: What date had a record of 43-34? ###assistant: SELECT date FROM table_name_17 WHERE record = "43-34"
###context:CREATE TABLE table_name_5 (artist VARCHAR, percentage VARCHAR) ###human: What Artist had a Percentage of 17.14%? ###assistant: SELECT artist FROM table_name_5 WHERE percentage = "17.14%"
###context:CREATE TABLE table_name_73 (percentage VARCHAR, place VARCHAR) ###human: What Percentage has a Place of 5? ###assistant: SELECT percentage FROM table_name_73 WHERE place = 5
###context:CREATE TABLE table_name_5 (br_number VARCHAR, lms_number INTEGER) ###human: Which BR number has an LMS number over 14768? ###assistant: SELECT br_number FROM table_name_5 WHERE lms_number > 14768
###context:CREATE TABLE table_name_42 (frequency VARCHAR, city_of_license VARCHAR) ###human: what is the frequency when the city of license is belleville? ###assistant: SELECT frequency FROM table_name_42 WHERE city_of_license = "belleville"
###context:CREATE TABLE table_name_17 (class VARCHAR, power VARCHAR) ###human: what is the class when the power is 22500 watts? ###assistant: SELECT class FROM table_name_17 WHERE power = "22500 watts"
###context:CREATE TABLE table_name_60 (class VARCHAR, identifier VARCHAR) ###human: what is the class when the identifier is cjbc-1-fm? ###assistant: SELECT class FROM table_name_60 WHERE identifier = "cjbc-1-fm"
###context:CREATE TABLE table_name_68 (recnet VARCHAR, city_of_license VARCHAR) ###human: what is the recnet when the city of license is peterborough? ###assistant: SELECT recnet FROM table_name_68 WHERE city_of_license = "peterborough"
###context:CREATE TABLE table_name_71 (power VARCHAR, city_of_license VARCHAR) ###human: what is the power when the city of license is belleville? ###assistant: SELECT power FROM table_name_71 WHERE city_of_license = "belleville"
###context:CREATE TABLE table_name_17 (identifier VARCHAR, power VARCHAR) ###human: what is the identifier when the power is 22500 watts? ###assistant: SELECT identifier FROM table_name_17 WHERE power = "22500 watts"
###context:CREATE TABLE table_name_80 (opponents INTEGER, date VARCHAR) ###human: What is the Opponents in the game with a Date of nov. 25? ###assistant: SELECT MIN(opponents) FROM table_name_80 WHERE date = "nov. 25"
###context:CREATE TABLE table_name_96 (games VARCHAR, name VARCHAR) ###human: How many games does leandro love have? ###assistant: SELECT games FROM table_name_96 WHERE name = "leandro love"
###context:CREATE TABLE table_name_84 (goals INTEGER, assists VARCHAR, years VARCHAR, name VARCHAR) ###human: What is the lowest number of goals joe keenan, who has more than 1 assists, had in 2007/08? ###assistant: SELECT MIN(goals) FROM table_name_84 WHERE years = "2007/08" AND name = "joe keenan" AND assists > 1
###context:CREATE TABLE table_name_37 (goals INTEGER, games VARCHAR, assists VARCHAR) ###human: What is the lowest number of goals of the player with 9 (0) games and less than 0 assists? ###assistant: SELECT MIN(goals) FROM table_name_37 WHERE games = "9 (0)" AND assists < 0
###context:CREATE TABLE table_name_14 (finals VARCHAR, goals VARCHAR, assists VARCHAR) ###human: How many finals had more than 0 goals and 8 assists? ###assistant: SELECT finals FROM table_name_14 WHERE goals > 0 AND assists = 8
###context:CREATE TABLE table_name_6 (rank INTEGER, heat VARCHAR, nationality VARCHAR, time VARCHAR) ###human: When the nationality is united states, and the time is 58.06, and the heat is larger than 5 what is the lowest rank? ###assistant: SELECT MIN(rank) FROM table_name_6 WHERE nationality = "united states" AND time = "58.06" AND heat > 5
###context:CREATE TABLE table_name_67 (rank INTEGER, nationality VARCHAR, lane VARCHAR, heat VARCHAR) ###human: What is the highest rank when the lane is larger than 6, and the heat is 3, and the nationality is colombia? ###assistant: SELECT MAX(rank) FROM table_name_67 WHERE lane > 6 AND heat = 3 AND nationality = "colombia"
###context:CREATE TABLE table_name_16 (lane VARCHAR, heat INTEGER) ###human: What is the total lane for a heat larger than 7? ###assistant: SELECT COUNT(lane) FROM table_name_16 WHERE heat > 7
###context:CREATE TABLE table_name_22 (heat INTEGER, nationality VARCHAR, lane VARCHAR) ###human: What is the highest heat when the nationality is poland, and the lane is smaller than 6? ###assistant: SELECT MAX(heat) FROM table_name_22 WHERE nationality = "poland" AND lane < 6
###context:CREATE TABLE table_name_28 (lead_pitch_mm INTEGER, body_width_mm INTEGER) ###human: Which Lead Pitch/mm has a Body Width/mm larger than 10.16? ###assistant: SELECT SUM(lead_pitch_mm) FROM table_name_28 WHERE body_width_mm > 10.16
###context:CREATE TABLE table_name_66 (body_width_mm INTEGER, part_number VARCHAR, body_length_mm VARCHAR) ###human: How much Body Width/mm has a Part Number of tsop40/44, and a Body Length/mm smaller than 18.42? ###assistant: SELECT SUM(body_width_mm) FROM table_name_66 WHERE part_number = "tsop40/44" AND body_length_mm < 18.42
###context:CREATE TABLE table_name_13 (lead_pitch_mm INTEGER, part_number VARCHAR) ###human: Which Lead Pitch/mm has a Part Number of tsop24/28? ###assistant: SELECT MAX(lead_pitch_mm) FROM table_name_13 WHERE part_number = "tsop24/28"
###context:CREATE TABLE table_name_40 (silver INTEGER, gold VARCHAR, bronze VARCHAR) ###human: What is the highest amount of silver when gold is 1 and bronze larger than 0? ###assistant: SELECT MAX(silver) FROM table_name_40 WHERE gold = 1 AND bronze > 0
###context:CREATE TABLE table_name_48 (time INTEGER, reaction_time VARCHAR) ###human: What is the Time of the Athlete with a Reaction time of 0.164? ###assistant: SELECT SUM(time) FROM table_name_48 WHERE reaction_time = 0.164
###context:CREATE TABLE table_name_34 (time VARCHAR, lane VARCHAR) ###human: What is the Time of the Athlete in Lane 4? ###assistant: SELECT COUNT(time) FROM table_name_34 WHERE lane = 4
###context:CREATE TABLE table_name_82 (lane INTEGER, nationality VARCHAR, reaction_time VARCHAR, time VARCHAR) ###human: What is the Lane of the Athlete from Great Britain with a Reaction time of less than 0.218 and a Time larger than 44.74? ###assistant: SELECT SUM(lane) FROM table_name_82 WHERE reaction_time < 0.218 AND time > 44.74 AND nationality = "great britain"
###context:CREATE TABLE table_name_29 (tv_time VARCHAR, week VARCHAR) ###human: What is the time in week 3? ###assistant: SELECT tv_time FROM table_name_29 WHERE week = 3
###context:CREATE TABLE table_name_61 (week INTEGER, attendance VARCHAR) ###human: What is the week with attendance of 73,572? ###assistant: SELECT MAX(week) FROM table_name_61 WHERE attendance = "73,572"
###context:CREATE TABLE table_name_94 (week VARCHAR, opponent VARCHAR) ###human: What week was the opponent the San Diego Chargers? ###assistant: SELECT COUNT(week) FROM table_name_94 WHERE opponent = "san diego chargers"
###context:CREATE TABLE table_name_63 (week INTEGER, result VARCHAR) ###human: What week was the result of l 38–21? ###assistant: SELECT MAX(week) FROM table_name_63 WHERE result = "l 38–21"
###context:CREATE TABLE table_name_60 (rank INTEGER, county VARCHAR, total VARCHAR) ###human: What's the total of Rank for the County of Galway and has a Total that's larger than 13? ###assistant: SELECT SUM(rank) FROM table_name_60 WHERE county = "galway" AND total > 13
###context:CREATE TABLE table_name_53 (county VARCHAR, opposition VARCHAR, player VARCHAR) ###human: What County has an Opposition of Antrim and the Player Bernie Forde? ###assistant: SELECT county FROM table_name_53 WHERE opposition = "antrim" AND player = "bernie forde"
###context:CREATE TABLE table_name_49 (rank INTEGER, total VARCHAR, county VARCHAR, player VARCHAR) ###human: What's the highest Rank for the County of Offaly, the Player of Mark Corrigan, and the Total that is smaller than 8? ###assistant: SELECT MAX(rank) FROM table_name_49 WHERE county = "offaly" AND player = "mark corrigan" AND total < 8
###context:CREATE TABLE table_name_41 (channel VARCHAR, opponent VARCHAR) ###human: Which Channel has an Opponent of washington redskins? ###assistant: SELECT channel FROM table_name_41 WHERE opponent = "washington redskins"
###context:CREATE TABLE table_name_57 (attendance VARCHAR, channel VARCHAR, date VARCHAR) ###human: Which attendance has a Channel of espn, and a Date of september 5, 2002? ###assistant: SELECT attendance FROM table_name_57 WHERE channel = "espn" AND date = "september 5, 2002"
###context:CREATE TABLE table_name_30 (date VARCHAR, result VARCHAR) ###human: Which Date has a Result of w 27–20? ###assistant: SELECT date FROM table_name_30 WHERE result = "w 27–20"
###context:CREATE TABLE table_name_35 (week VARCHAR, attendance VARCHAR) ###human: Which Week has an Attendance of 63,447? ###assistant: SELECT week FROM table_name_35 WHERE attendance = "63,447"
###context:CREATE TABLE table_name_79 (date VARCHAR, opponent VARCHAR, stadium VARCHAR, week VARCHAR) ###human: Which Date has a Stadium of giants stadium, and a Week smaller than 13, and an Opponent of seattle seahawks? ###assistant: SELECT date FROM table_name_79 WHERE stadium = "giants stadium" AND week < 13 AND opponent = "seattle seahawks"
###context:CREATE TABLE table_name_79 (athlete VARCHAR, react VARCHAR) ###human: Who was the athlete with react of 0.185? ###assistant: SELECT athlete FROM table_name_79 WHERE react = 0.185
###context:CREATE TABLE table_name_90 (react INTEGER, rank VARCHAR, nationality VARCHAR, lane VARCHAR, time VARCHAR) ###human: What's the smallest react of Zimbabwe, ranked after 1 in a lane after 3 and a time less than 20.3? ###assistant: SELECT MIN(react) FROM table_name_90 WHERE lane > 3 AND time < 20.3 AND nationality = "zimbabwe" AND rank > 1
###context:CREATE TABLE table_name_77 (white__both_hispanic_and_non_hispanic_ VARCHAR, black__both_hispanic_and_non_hispanic_ VARCHAR, hispanic__of_any_race_ VARCHAR) ###human: What is the total number of white (Hispanic/Non-Hispanic) having a black (Hispanic/Non-Hispanic) of 9.9 and Hispanic under 99.5? ###assistant: SELECT COUNT(white__both_hispanic_and_non_hispanic_) FROM table_name_77 WHERE black__both_hispanic_and_non_hispanic_ = 9.9 AND hispanic__of_any_race_ < 99.5
###context:CREATE TABLE table_name_99 (black__both_hispanic_and_non_hispanic_ INTEGER, hispanic__of_any_race_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR, multiracial__both_hispanic_and_non_hispanic_ VARCHAR) ###human: What is the average black value (Hispanic/Non-Hispanic) having a white (Hispanic/Non-Hispanic) under 61.9, Multiracial (Hispanic/Non-Hispanic) under 12.5 and Hispanic under 99.4? ###assistant: SELECT AVG(black__both_hispanic_and_non_hispanic_) FROM table_name_99 WHERE white__both_hispanic_and_non_hispanic_ < 61.9 AND multiracial__both_hispanic_and_non_hispanic_ < 12.5 AND hispanic__of_any_race_ < 99.4
###context:CREATE TABLE table_name_67 (amerindian__both_hispanic_and_non_hispanic_ INTEGER, black__both_hispanic_and_non_hispanic_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR) ###human: What is the highest Amerindian (Hispanic/Non-Hispanic) value having a Black (Hispanic/Non-Hispanic) of 15.7 and White (Hispanic/Non-Hispanic) over 69.5? ###assistant: SELECT MAX(amerindian__both_hispanic_and_non_hispanic_) FROM table_name_67 WHERE black__both_hispanic_and_non_hispanic_ = 15.7 AND white__both_hispanic_and_non_hispanic_ > 69.5
###context:CREATE TABLE table_name_63 (black__both_hispanic_and_non_hispanic_ VARCHAR, municipality__2010_ VARCHAR, amerindian__both_hispanic_and_non_hispanic_ VARCHAR, white__both_hispanic_and_non_hispanic_ VARCHAR, n_asia__both_hispanic_and_non_hispanic_ VARCHAR) ###human: What is the Black (Hispanic/Non-Hispanic) value having a white (Hispanic/Non-Hispanic) under 80.6, Asian (Hispanic/Non-Hispanic) of 0.1, Amerindian (Hispanic/Non-Hispanic) under 0.6000000000000001, and municipality of Vega Baja? ###assistant: SELECT black__both_hispanic_and_non_hispanic_ FROM table_name_63 WHERE white__both_hispanic_and_non_hispanic_ < 80.6 AND n_asia__both_hispanic_and_non_hispanic_ = 0.1 AND amerindian__both_hispanic_and_non_hispanic_ < 0.6000000000000001 AND municipality__2010_ = "vega baja"
###context:CREATE TABLE table_name_81 (season VARCHAR, div VARCHAR, pos VARCHAR, pld VARCHAR) ###human: What season had 3rd position, a 36 pld, and a bbl div? ###assistant: SELECT season FROM table_name_81 WHERE pos = "3rd" AND pld = "36" AND div = "bbl"
###context:CREATE TABLE table_name_87 (season VARCHAR, pos VARCHAR, pld VARCHAR, div VARCHAR) ###human: What season has 36 pld, a bbl div, and 6th position? ###assistant: SELECT season FROM table_name_87 WHERE pld = "36" AND div = "bbl" AND pos = "6th"
###context:CREATE TABLE table_name_40 (season VARCHAR, pos VARCHAR, pts VARCHAR) ###human: What season had 6th position and 36 points? ###assistant: SELECT season FROM table_name_40 WHERE pos = "6th" AND pts = "36"
###context:CREATE TABLE table_name_21 (season VARCHAR, pts VARCHAR, pos VARCHAR, pld VARCHAR) ###human: What season had 1st position, 33 pld, and 58 points? ###assistant: SELECT season FROM table_name_21 WHERE pos = "1st" AND pld = "33" AND pts = "58"
###context:CREATE TABLE table_name_21 (school VARCHAR, mascot VARCHAR) ###human: Which School has a Mascot of generals? ###assistant: SELECT school FROM table_name_21 WHERE mascot = "generals"
###context:CREATE TABLE table_name_76 (school VARCHAR, ihsaa_class VARCHAR, mascot VARCHAR) ###human: Which School has an IHSAA Class of aaa, and a Mascot of saints? ###assistant: SELECT school FROM table_name_76 WHERE ihsaa_class = "aaa" AND mascot = "saints"
###context:CREATE TABLE table_name_48 (enrollment INTEGER, location VARCHAR, mascot VARCHAR) ###human: What is the highest enrollment in Lagrange where the mascot is panthers? ###assistant: SELECT MAX(enrollment) FROM table_name_48 WHERE location = "lagrange" AND mascot = "panthers"
###context:CREATE TABLE table_name_3 (enrollment INTEGER, school VARCHAR) ###human: What is the enrollment at the school of Hamilton community? ###assistant: SELECT AVG(enrollment) FROM table_name_3 WHERE school = "hamilton community"
###context:CREATE TABLE table_name_62 (school VARCHAR, ihsaa_class VARCHAR, location VARCHAR) ###human: What school that has a IHSAA Class of AA, in Butler? ###assistant: SELECT school FROM table_name_62 WHERE ihsaa_class = "aa" AND location = "butler"
###context:CREATE TABLE table_name_62 (mascot VARCHAR, school VARCHAR) ###human: What is the mascot at Hamilton Community? ###assistant: SELECT mascot FROM table_name_62 WHERE school = "hamilton community"
###context:CREATE TABLE table_name_80 (school VARCHAR, location VARCHAR, ihsaa_class VARCHAR) ###human: What school is in Lagrange, with an IHSAA Class of aaa? ###assistant: SELECT school FROM table_name_80 WHERE location = "lagrange" AND ihsaa_class = "aaa"
###context:CREATE TABLE table_name_11 (school VARCHAR, location VARCHAR) ###human: What school is in Ligonier? ###assistant: SELECT school FROM table_name_11 WHERE location = "ligonier"