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###context:CREATE TABLE table_name_65 (language VARCHAR, draw VARCHAR)
###human: What's the language of Draw number 9?
###assistant: SELECT language FROM table_name_65 WHERE draw = 9 |
###context:CREATE TABLE table_name_87 (points INTEGER, language VARCHAR)
###human: What are the lowest points when the language is Portuguese?
###assistant: SELECT MIN(points) FROM table_name_87 WHERE language = "portuguese" |
###context:CREATE TABLE table_name_74 (island VARCHAR, summit VARCHAR)
###human: What's the island with a summit of Haleakalā?
###assistant: SELECT island FROM table_name_74 WHERE summit = "haleakalā" |
###context:CREATE TABLE table_name_96 (col__m_ INTEGER, island VARCHAR, rank VARCHAR)
###human: What's the lowest Col ranked less than 6 with an Island of Molokaʻi?
###assistant: SELECT MIN(col__m_) FROM table_name_96 WHERE island = "island of molokaʻi" AND rank < 6 |
###context:CREATE TABLE table_name_84 (col__m_ VARCHAR, rank VARCHAR, summit VARCHAR)
###human: What's the col (m) ranked more than 4 with a summit of Kawaikini?
###assistant: SELECT col__m_ FROM table_name_84 WHERE rank > 4 AND summit = "kawaikini" |
###context:CREATE TABLE table_name_80 (rank INTEGER, col__m_ VARCHAR, summit VARCHAR)
###human: What's the rank when the col (m) is less than 33 and has a summit of Haleakalā?
###assistant: SELECT SUM(rank) FROM table_name_80 WHERE col__m_ < 33 AND summit = "haleakalā" |
###context:CREATE TABLE table_name_72 (summit VARCHAR, col__m_ VARCHAR, rank VARCHAR)
###human: What's the summit when the rank is less than 2 and has a col (m) of 0?
###assistant: SELECT summit FROM table_name_72 WHERE col__m_ = 0 AND rank < 2 |
###context:CREATE TABLE table_name_58 (year VARCHAR, edition VARCHAR)
###human: Which Year has an Edition of 41st?
###assistant: SELECT year FROM table_name_58 WHERE edition = "41st" |
###context:CREATE TABLE table_name_13 (no_of_events VARCHAR, country VARCHAR, date VARCHAR)
###human: How many Events have a Country of trinidad and tobago, and a Date of march 30-april 1?
###assistant: SELECT no_of_events FROM table_name_13 WHERE country = "trinidad and tobago" AND date = "march 30-april 1" |
###context:CREATE TABLE table_name_93 (country VARCHAR, top_team VARCHAR, edition VARCHAR)
###human: Which Country has a Top Team of jam, and an Edition of 31st?
###assistant: SELECT country FROM table_name_93 WHERE top_team = "jam" AND edition = "31st" |
###context:CREATE TABLE table_name_62 (outcome VARCHAR, partner VARCHAR)
###human: What was the outcome of the final with a partner of Brett Steven?
###assistant: SELECT outcome FROM table_name_62 WHERE partner = "brett steven" |
###context:CREATE TABLE table_name_84 (surface VARCHAR, tournament VARCHAR)
###human: On what type of surface was the tournament of Italy f28?
###assistant: SELECT surface FROM table_name_84 WHERE tournament = "italy f28" |
###context:CREATE TABLE table_name_8 (opponent_in_the_final VARCHAR, tournament VARCHAR)
###human: Who was the opponent in the final of the Senegal f2 tournament>
###assistant: SELECT opponent_in_the_final FROM table_name_8 WHERE tournament = "senegal f2" |
###context:CREATE TABLE table_name_11 (score VARCHAR, date VARCHAR)
###human: What's the score on December 12, 1998?
###assistant: SELECT score FROM table_name_11 WHERE date = "december 12, 1998" |
###context:CREATE TABLE table_name_93 (venue VARCHAR, score VARCHAR)
###human: What was the venue when the score was 7-1?
###assistant: SELECT venue FROM table_name_93 WHERE score = "7-1" |
###context:CREATE TABLE table_name_18 (score VARCHAR, competition VARCHAR)
###human: What's the score of the friendly competition?
###assistant: SELECT score FROM table_name_18 WHERE competition = "friendly" |
###context:CREATE TABLE table_name_59 (competition VARCHAR, venue VARCHAR)
###human: What's the competition that happened in Singapore?
###assistant: SELECT competition FROM table_name_59 WHERE venue = "singapore" |
###context:CREATE TABLE table_name_97 (venue VARCHAR, competition VARCHAR)
###human: What's the venue of the 1995 Southeast Asian Games?
###assistant: SELECT venue FROM table_name_97 WHERE competition = "1995 southeast asian games" |
###context:CREATE TABLE table_name_71 (date_of_inauguration VARCHAR)
###human: What was the date of the inauguration in the row with an entry of lifespan in the lifespan column?
###assistant: SELECT date_of_inauguration FROM table_name_71 WHERE "lifespan" = "lifespan" |
###context:CREATE TABLE table_name_76 (date_of_death VARCHAR, date_of_inauguration VARCHAR)
###human: What was the date of death entry in the row that has a date of inauguration entry of date of inauguration?
###assistant: SELECT date_of_death FROM table_name_76 WHERE date_of_inauguration = "date of inauguration" |
###context:CREATE TABLE table_name_49 (length_of_retirement VARCHAR, president VARCHAR)
###human: What is the length of retirement for president Sharma, Shankar Shankar Dayal Sharma?
###assistant: SELECT length_of_retirement FROM table_name_49 WHERE president = "sharma, shankar shankar dayal sharma" |
###context:CREATE TABLE table_name_67 (draw VARCHAR, place INTEGER)
###human: How many draw is in a place that is less than 1?
###assistant: SELECT COUNT(draw) FROM table_name_67 WHERE place < 1 |
###context:CREATE TABLE table_name_31 (draw INTEGER, artist VARCHAR)
###human: Emilya Valenti has what draw average?
###assistant: SELECT AVG(draw) FROM table_name_31 WHERE artist = "emilya valenti" |
###context:CREATE TABLE table_name_50 (airing_date VARCHAR, english_title__chinese_title_ VARCHAR, genre VARCHAR, official_website VARCHAR, number_of_episodes VARCHAR)
###human: What's the airing date of Armed Reaction 陀槍師姐 with 20 episodes in the Modern Action genre having an official website?
###assistant: SELECT airing_date FROM table_name_50 WHERE official_website = "official website" AND number_of_episodes = 20 AND genre = "modern action" AND english_title__chinese_title_ = "armed reaction 陀槍師姐" |
###context:CREATE TABLE table_name_1 (airing_date VARCHAR, number_of_episodes VARCHAR)
###human: What's the airing date for the show with 62 episodes?
###assistant: SELECT airing_date FROM table_name_1 WHERE number_of_episodes = 62 |
###context:CREATE TABLE table_name_33 (official_website VARCHAR, number_of_episodes VARCHAR, english_title__chinese_title_ VARCHAR)
###human: What's the official website of Burning Flame 烈火雄心 with 22 episodes?
###assistant: SELECT official_website FROM table_name_33 WHERE number_of_episodes > 22 AND english_title__chinese_title_ = "burning flame 烈火雄心" |
###context:CREATE TABLE table_name_44 (position VARCHAR, a_score INTEGER)
###human: what is the position for the competitor that has a score more than 7
###assistant: SELECT position FROM table_name_44 WHERE a_score > 7 |
###context:CREATE TABLE table_name_40 (b_score INTEGER, position VARCHAR, a_score VARCHAR)
###human: what is the score for the 5th position and a score less than 7
###assistant: SELECT MIN(b_score) FROM table_name_40 WHERE position = "5th" AND a_score < 7 |
###context:CREATE TABLE table_name_8 (total INTEGER, position VARCHAR, a_score VARCHAR)
###human: what is the total scored for the 8th position and a score more than 6.6
###assistant: SELECT MAX(total) FROM table_name_8 WHERE position = "8th" AND a_score > 6.6 |
###context:CREATE TABLE table_name_33 (meet VARCHAR, time VARCHAR)
###human: What is the Meet of the Event with a Time of 7:55.02?
###assistant: SELECT meet FROM table_name_33 WHERE time = "7:55.02" |
###context:CREATE TABLE table_name_93 (location VARCHAR, time VARCHAR)
###human: What is the Location of the Event with a Time of 2:22.32?
###assistant: SELECT location FROM table_name_93 WHERE time = "2:22.32" |
###context:CREATE TABLE table_name_48 (body_width_mm INTEGER, lead_pitch_mm VARCHAR, body_length_mm VARCHAR)
###human: Which Body Width/mm has a Lead Pitch/mm smaller than 0.55, and a Body Length/mm larger than 18.4?
###assistant: SELECT MIN(body_width_mm) FROM table_name_48 WHERE lead_pitch_mm < 0.55 AND body_length_mm > 18.4 |
###context:CREATE TABLE table_name_9 (body_length_mm INTEGER, lead_pitch_mm INTEGER)
###human: Which Body Length/mm has a Lead Pitch/mm smaller than 0.5?
###assistant: SELECT AVG(body_length_mm) FROM table_name_9 WHERE lead_pitch_mm < 0.5 |
###context:CREATE TABLE table_name_50 (body_width_mm VARCHAR, body_length_mm VARCHAR, pins VARCHAR)
###human: How much Body Width/mm has a Body Length/mm of 18.4, and Pins of 40?
###assistant: SELECT COUNT(body_width_mm) FROM table_name_50 WHERE body_length_mm = 18.4 AND pins = "40" |
###context:CREATE TABLE table_name_63 (body_width_mm INTEGER, lead_pitch_mm VARCHAR, part_number VARCHAR)
###human: Which Body Width/mm has a Lead Pitch/mm smaller than 0.55, and a Part Number of tsop48?
###assistant: SELECT MIN(body_width_mm) FROM table_name_63 WHERE lead_pitch_mm < 0.55 AND part_number = "tsop48" |
###context:CREATE TABLE table_name_1 (lead_pitch_mm INTEGER, part_number VARCHAR, body_length_mm VARCHAR)
###human: Which Lead Pitch/mm has a Part Number of tsop40, and a Body Length/mm larger than 18.4?
###assistant: SELECT MAX(lead_pitch_mm) FROM table_name_1 WHERE part_number = "tsop40" AND body_length_mm > 18.4 |
###context:CREATE TABLE table_name_10 (attendance INTEGER, time VARCHAR)
###human: What was the least attendance when the time was 3:15?
###assistant: SELECT MIN(attendance) FROM table_name_10 WHERE time = "3:15" |
###context:CREATE TABLE table_name_6 (date VARCHAR, time VARCHAR, game VARCHAR, location VARCHAR)
###human: What date was at Oakland-Alameda County Coliseum with a time of 3:40 and a game less than 5?
###assistant: SELECT date FROM table_name_6 WHERE game < 5 AND location = "oakland-alameda county coliseum" AND time = "3:40" |
###context:CREATE TABLE table_name_36 (bronze INTEGER, silver VARCHAR, gold VARCHAR, total VARCHAR)
###human: Which Bronze has a Gold larger than 1, and a Total larger than 11, and a Silver larger than 5?
###assistant: SELECT AVG(bronze) FROM table_name_36 WHERE gold > 1 AND total > 11 AND silver > 5 |
###context:CREATE TABLE table_name_67 (silver VARCHAR, gold INTEGER)
###human: How many silvers have more than 2 golds?
###assistant: SELECT COUNT(silver) FROM table_name_67 WHERE gold > 2 |
###context:CREATE TABLE table_name_12 (firefox_ VARCHAR, _other_mozilla VARCHAR, chrome VARCHAR)
###human: What percentage of browsers were using Firefox or other Mozilla browsers during the period in which 1.93% were using Chrome?
###assistant: SELECT firefox_, _other_mozilla FROM table_name_12 WHERE chrome = "1.93%" |
###context:CREATE TABLE table_name_97 (internet_explorer VARCHAR, chrome VARCHAR)
###human: What percentage of browsers were using Internet Explorer during the period in which 24.91% were using Chrome?
###assistant: SELECT internet_explorer FROM table_name_97 WHERE chrome = "24.91%" |
###context:CREATE TABLE table_name_88 (chrome VARCHAR, internet_explorer VARCHAR)
###human: What percentage of browsers were using Chrome during the period in which 72.03% were using Internet Explorer?
###assistant: SELECT chrome FROM table_name_88 WHERE internet_explorer = "72.03%" |
###context:CREATE TABLE table_name_57 (safari VARCHAR, chrome VARCHAR)
###human: What percentage of browsers were using Safari during the period in which 2.05% were using Chrome?
###assistant: SELECT safari FROM table_name_57 WHERE chrome = "2.05%" |
###context:CREATE TABLE table_name_22 (chrome VARCHAR, opera VARCHAR, safari VARCHAR)
###human: What percentage of browsers were using Chrome during the period in which 0.30% were using Opera and 6.77% were using Safari?
###assistant: SELECT chrome FROM table_name_22 WHERE opera = "0.30%" AND safari = "6.77%" |
###context:CREATE TABLE table_name_42 (tv_network_s_ VARCHAR, country VARCHAR)
###human: Which TV network was located in Brazil?
###assistant: SELECT tv_network_s_ FROM table_name_42 WHERE country = "brazil" |
###context:CREATE TABLE table_name_27 (country VARCHAR, series_premiere VARCHAR, tv_network_s_ VARCHAR)
###human: What country has a series premier of unknown and mbc action as their TV network?
###assistant: SELECT country FROM table_name_27 WHERE series_premiere = "unknown" AND tv_network_s_ = "mbc action" |
###context:CREATE TABLE table_name_97 (weekly_schedule VARCHAR, tv_network_s_ VARCHAR)
###human: What is the weekly schedule for the network sky italia?
###assistant: SELECT weekly_schedule FROM table_name_97 WHERE tv_network_s_ = "sky italia" |
###context:CREATE TABLE table_name_73 (gold INTEGER, bronze VARCHAR, silver VARCHAR)
###human: How many Gold medals for the Nations with 6 or more Bronze medals and 18 or more Silver?
###assistant: SELECT AVG(gold) FROM table_name_73 WHERE bronze > 6 AND silver > 18 |
###context:CREATE TABLE table_name_98 (gold INTEGER, nation VARCHAR)
###human: How many Gold medals did the Soviet Union receive?
###assistant: SELECT AVG(gold) FROM table_name_98 WHERE nation = "soviet union" |
###context:CREATE TABLE table_name_43 (name VARCHAR, pos VARCHAR)
###human: What's the name of the person in the CF Pos?
###assistant: SELECT name FROM table_name_43 WHERE pos = "cf" |
###context:CREATE TABLE table_name_83 (league_cup_apps VARCHAR, fa_cup_apps VARCHAR)
###human: Which league cup apps has FA as the cup apps of 5?
###assistant: SELECT league_cup_apps FROM table_name_83 WHERE fa_cup_apps = "5" |
###context:CREATE TABLE table_name_43 (league_goals INTEGER, league_cup_goals VARCHAR, position VARCHAR, total_goals VARCHAR)
###human: What is the lowest league goals that has fw as the position, total goals greater than 9, with league cup goals greater than 4?
###assistant: SELECT MIN(league_goals) FROM table_name_43 WHERE position = "fw" AND total_goals > 9 AND league_cup_goals > 4 |
###context:CREATE TABLE table_name_11 (year INTEGER, event VARCHAR, venue VARCHAR)
###human: What is the earliest year that a team event was included at Vilamoura, Portugal?
###assistant: SELECT MIN(year) FROM table_name_11 WHERE event = "team" AND venue = "vilamoura, portugal" |
###context:CREATE TABLE table_name_96 (event VARCHAR, year VARCHAR, result VARCHAR)
###human: In which event before 2001 did the athlete place 16th?
###assistant: SELECT event FROM table_name_96 WHERE year < 2001 AND result = "16th" |
###context:CREATE TABLE table_name_24 (tournament VARCHAR, result VARCHAR)
###human: In which tournament was the result 25th?
###assistant: SELECT tournament FROM table_name_24 WHERE result = "25th" |
###context:CREATE TABLE table_name_28 (artist VARCHAR, draw VARCHAR, place VARCHAR)
###human: What artist has more than 6 draws, and in a place higher than 14?
###assistant: SELECT artist FROM table_name_28 WHERE draw > 6 AND place > 14 |
###context:CREATE TABLE table_name_33 (social_democratic VARCHAR, democratic_and_social_centre VARCHAR)
###human: What Social Democratic has a Democratic and Social Centre of 10.0% 22 seats?
###assistant: SELECT social_democratic FROM table_name_33 WHERE democratic_and_social_centre = "10.0% 22 seats" |
###context:CREATE TABLE table_name_86 (social_democratic VARCHAR, democratic_and_social_centre VARCHAR)
###human: What Social Democratic has the Democratic and Social Centre of 4.4% 4 seats?
###assistant: SELECT social_democratic FROM table_name_86 WHERE democratic_and_social_centre = "4.4% 4 seats" |
###context:CREATE TABLE table_name_66 (number_of_teams VARCHAR, top_goalscorer_s_ VARCHAR, year VARCHAR)
###human: How many teams were at the 2007 details tournament where there a top goalscorer was not awarded?
###assistant: SELECT number_of_teams FROM table_name_66 WHERE top_goalscorer_s_ = "not awarded" AND year = "2007 details" |
###context:CREATE TABLE table_name_91 (location VARCHAR, best_goalkeeper VARCHAR)
###human: What is the location of the tournament where the best goalkeeper had 164 (8.2)?
###assistant: SELECT location FROM table_name_91 WHERE best_goalkeeper = "164 (8.2)" |
###context:CREATE TABLE table_name_30 (section VARCHAR, level VARCHAR, season VARCHAR)
###human: What section were they in when there were tier 2 in 1996?
###assistant: SELECT section FROM table_name_30 WHERE level = "tier 2" AND season = 1996 |
###context:CREATE TABLE table_name_21 (administration VARCHAR, season VARCHAR, division VARCHAR, position VARCHAR)
###human: What is the administration when the division was Ykkönen (first division), and they were in the 1st position in 1996?
###assistant: SELECT administration FROM table_name_21 WHERE division = "ykkönen (first division)" AND position = "1st" AND season = 1996 |
###context:CREATE TABLE table_name_81 (film_title_used_in_nomination VARCHAR, actor_actress VARCHAR, category VARCHAR)
###human: What was the film title that emma thompson was the actress nominated for best supporting actress?
###assistant: SELECT film_title_used_in_nomination FROM table_name_81 WHERE actor_actress = "emma thompson" AND category = "best supporting actress" |
###context:CREATE TABLE table_name_51 (category VARCHAR, actor_actress VARCHAR, film_title_used_in_nomination VARCHAR)
###human: What category was al pacino nominated for in the film, glengarry glen ross?
###assistant: SELECT category FROM table_name_51 WHERE actor_actress = "al pacino" AND film_title_used_in_nomination = "glengarry glen ross" |
###context:CREATE TABLE table_name_26 (year__ceremony_ VARCHAR, category VARCHAR, actor_actress VARCHAR)
###human: What is the year when sigourney weaver was nominated for best actress?
###assistant: SELECT year__ceremony_ FROM table_name_26 WHERE category = "best actress" AND actor_actress = "sigourney weaver" |
###context:CREATE TABLE table_name_30 (year__ceremony_ VARCHAR, result VARCHAR, actor_actress VARCHAR)
###human: What year was holly hunter a nominee?
###assistant: SELECT year__ceremony_ FROM table_name_30 WHERE result = "nominee" AND actor_actress = "holly hunter" |
###context:CREATE TABLE table_name_61 (per_capita_income VARCHAR, median_family_income VARCHAR)
###human: What is the per capita income of the county with a median family income of $40,492?
###assistant: SELECT per_capita_income FROM table_name_61 WHERE median_family_income = "$40,492" |
###context:CREATE TABLE table_name_21 (year INTEGER, result VARCHAR, role_episode VARCHAR)
###human: what is the earliest year when the result is won and the role/episode is fox mulder?
###assistant: SELECT MIN(year) FROM table_name_21 WHERE result = "won" AND role_episode = "fox mulder" |
###context:CREATE TABLE table_name_82 (year VARCHAR, role_episode VARCHAR)
###human: what is the year when the role/episode is david duchovny?
###assistant: SELECT year FROM table_name_82 WHERE role_episode = "david duchovny" |
###context:CREATE TABLE table_name_21 (date VARCHAR, week VARCHAR)
###human: What date has 9 as the week?
###assistant: SELECT date FROM table_name_21 WHERE week = 9 |
###context:CREATE TABLE table_name_16 (total INTEGER, tally VARCHAR)
###human: What is the average total of the 0-8 tally?
###assistant: SELECT AVG(total) FROM table_name_16 WHERE tally = "0-8" |
###context:CREATE TABLE table_name_6 (rank VARCHAR, opposition VARCHAR)
###human: What is the total rank of the match with tipperary as the opposition?
###assistant: SELECT COUNT(rank) FROM table_name_6 WHERE opposition = "tipperary" |
###context:CREATE TABLE table_name_62 (total INTEGER, player VARCHAR, rank VARCHAR)
###human: What is the lowest total of player tommy ring, who has a rank greater than 1?
###assistant: SELECT MIN(total) FROM table_name_62 WHERE player = "tommy ring" AND rank > 1 |
###context:CREATE TABLE table_name_5 (rank INTEGER, opposition VARCHAR, total VARCHAR)
###human: What is the average rank of the match where offaly was the opposition and the total was greater than 9?
###assistant: SELECT AVG(rank) FROM table_name_5 WHERE opposition = "offaly" AND total > 9 |
###context:CREATE TABLE table_name_34 (municipality VARCHAR, party VARCHAR, election VARCHAR)
###human: Which municipality has a party of Lega Friuli-VG that won elections before 2011?
###assistant: SELECT municipality FROM table_name_34 WHERE party = "lega friuli-vg" AND election < 2011 |
###context:CREATE TABLE table_name_99 (party VARCHAR, mayor VARCHAR)
###human: Which party is Ettore Romoli from?
###assistant: SELECT party FROM table_name_99 WHERE mayor = "ettore romoli" |
###context:CREATE TABLE table_name_59 (campus VARCHAR, location VARCHAR)
###human: What campus is in Brgy. Alangilan, Batangas City?
###assistant: SELECT campus FROM table_name_59 WHERE location = "brgy. alangilan, batangas city" |
###context:CREATE TABLE table_name_41 (founded VARCHAR, location VARCHAR)
###human: When was the Balayan, Batangas campus founded?
###assistant: SELECT founded FROM table_name_41 WHERE location = "balayan, batangas" |
###context:CREATE TABLE table_name_84 (executive_director VARCHAR, type VARCHAR, location VARCHAR)
###human: Who is the executive director of the Lemery, Batangas extension?
###assistant: SELECT executive_director FROM table_name_84 WHERE type = "extension" AND location = "lemery, batangas" |
###context:CREATE TABLE table_name_81 (silver VARCHAR, bronze VARCHAR, gold VARCHAR, rank VARCHAR)
###human: What is number of silver for the country with more than 0 gold, rank of 14, and more than 4 bronze?
###assistant: SELECT COUNT(silver) FROM table_name_81 WHERE gold > 0 AND rank = "14" AND bronze > 4 |
###context:CREATE TABLE table_name_19 (gold INTEGER, rank VARCHAR)
###human: What is the number of gold for the country ranked 19?
###assistant: SELECT SUM(gold) FROM table_name_19 WHERE rank = "19" |
###context:CREATE TABLE table_name_83 (silver INTEGER, bronze INTEGER)
###human: What is the least amount of silver when there is less than 0 bronze?
###assistant: SELECT MIN(silver) FROM table_name_83 WHERE bronze < 0 |
###context:CREATE TABLE table_name_99 (bronze INTEGER, total VARCHAR, gold VARCHAR)
###human: What is the most bronze when the total is 14, and there are more than 6 gold?
###assistant: SELECT MAX(bronze) FROM table_name_99 WHERE total = 14 AND gold > 6 |
###context:CREATE TABLE table_name_79 (snatch VARCHAR)
###human: Who has 187kg and a Snatch of Clean & Jerk?
###assistant: SELECT 187 AS kg FROM table_name_79 WHERE snatch = "clean & jerk" |
###context:CREATE TABLE table_name_81 (reserved_for___sc___st__none_ VARCHAR, constituency_number VARCHAR)
###human: What is the Reserved for (SC / ST /None) when the constituency number is 203?
###assistant: SELECT reserved_for___sc___st__none_ FROM table_name_81 WHERE constituency_number = "203" |
###context:CREATE TABLE table_name_21 (number_of_electorates__2009_ INTEGER, constituency_number VARCHAR, district VARCHAR, reserved_for___sc___st__none_ VARCHAR)
###human: What is the number of electorates (2009) for the Indore district, when reserved for (SC / ST /None) is none, and constituency number is 208?
###assistant: SELECT SUM(number_of_electorates__2009_) FROM table_name_21 WHERE district = "indore" AND reserved_for___sc___st__none_ = "none" AND constituency_number = "208" |
###context:CREATE TABLE table_name_95 (other VARCHAR, firefox VARCHAR)
###human: What percentage of users were using other browsers according to the source that reported 21.22% were using Firefox?
###assistant: SELECT other FROM table_name_95 WHERE firefox = "21.22%" |
###context:CREATE TABLE table_name_60 (firefox VARCHAR, source VARCHAR)
###human: According to W3Counter, what percentage of browsers used Firefox?
###assistant: SELECT firefox FROM table_name_60 WHERE source = "w3counter" |
###context:CREATE TABLE table_name_22 (firefox VARCHAR, internet_explorer VARCHAR)
###human: What percentage of users were using Firefox according to the source that reported 21.70% used Internet Explorer?
###assistant: SELECT firefox FROM table_name_22 WHERE internet_explorer = "21.70%" |
###context:CREATE TABLE table_name_43 (source VARCHAR, chrome VARCHAR)
###human: Which source reported 32.60% of browsers used Chrome?
###assistant: SELECT source FROM table_name_43 WHERE chrome = "32.60%" |
###context:CREATE TABLE table_name_66 (firefox VARCHAR, safari VARCHAR)
###human: What percentage of users were using Firefox according to the source that reported 15.40% used Safari?
###assistant: SELECT firefox FROM table_name_66 WHERE safari = "15.40%" |
###context:CREATE TABLE table_name_53 (internet_explorer VARCHAR, firefox VARCHAR)
###human: What percentage of users were using Internet Explorer according to the source that reported 20.01% used Firefox?
###assistant: SELECT internet_explorer FROM table_name_53 WHERE firefox = "20.01%" |
###context:CREATE TABLE table_name_7 (points INTEGER, team VARCHAR, year VARCHAR)
###human: How many points did team Rothmans Honda have in 1992?
###assistant: SELECT MIN(points) FROM table_name_7 WHERE team = "rothmans honda" AND year = 1992 |
###context:CREATE TABLE table_name_66 (class VARCHAR, year VARCHAR, points VARCHAR)
###human: What class before 1990 has points of 33?
###assistant: SELECT class FROM table_name_66 WHERE year < 1990 AND points = 33 |
###context:CREATE TABLE table_name_74 (points VARCHAR, year VARCHAR)
###human: How many total points were in 1992?
###assistant: SELECT COUNT(points) FROM table_name_74 WHERE year = 1992 |
###context:CREATE TABLE table_name_58 (class VARCHAR, wins VARCHAR, year VARCHAR)
###human: In 1992, what class has higher wins than 0?
###assistant: SELECT class FROM table_name_58 WHERE wins > 0 AND year = 1992 |
###context:CREATE TABLE table_name_34 (class VARCHAR, team VARCHAR, points VARCHAR)
###human: What was the class that team Honda Britain was in with points higher than 0?
###assistant: SELECT class FROM table_name_34 WHERE team = "honda britain" AND points > 0 |
###context:CREATE TABLE table_name_55 (fa_cup_goals INTEGER, league_cup_apps VARCHAR, name VARCHAR)
###human: Which FA Cup Goals have League Cup Apps larger than 0, and a Name of trevor cherry?
###assistant: SELECT MAX(fa_cup_goals) FROM table_name_55 WHERE league_cup_apps > 0 AND name = "trevor cherry" |
###context:CREATE TABLE table_name_43 (league_goals INTEGER, league_cup_goals INTEGER)
###human: How many League Goals have League Cup Goals smaller than 0?
###assistant: SELECT SUM(league_goals) FROM table_name_43 WHERE league_cup_goals < 0 |
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