instruction stringlengths 67 299 | input stringlengths 88 550 | output stringlengths 32 484 |
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Write a SQL query that answers the following question: What was Great Britain's Round 1 score? | The relevant table was constructed using the following SQL : CREATE TABLE table_16815824_1 (round1 VARCHAR, team VARCHAR) | SELECT round1 FROM table_16815824_1 WHERE team = "Great Britain" |
Write a SQL query that answers the following question: What was team Toshiba's round 4 score? | The relevant table was constructed using the following SQL : CREATE TABLE table_16815824_1 (round4 INTEGER, team VARCHAR) | SELECT MIN(round4) FROM table_16815824_1 WHERE team = "team Toshiba" |
Write a SQL query that answers the following question: What was the highest score for round 2? | The relevant table was constructed using the following SQL : CREATE TABLE table_16815824_1 (round2 INTEGER) | SELECT MAX(round2) FROM table_16815824_1 |
Write a SQL query that answers the following question: What was the round 5 score if the team's total points where 212? | The relevant table was constructed using the following SQL : CREATE TABLE table_16815824_1 (round5 VARCHAR, total_points VARCHAR) | SELECT round5 FROM table_16815824_1 WHERE total_points = 212 |
Write a SQL query that answers the following question: What is the score for round 2 for team Toshiba? | The relevant table was constructed using the following SQL : CREATE TABLE table_16815824_1 (round2 VARCHAR, team VARCHAR) | SELECT COUNT(round2) FROM table_16815824_1 WHERE team = "team Toshiba" |
Write a SQL query that answers the following question: At the longitude of 355.0e, what is the name origin? | The relevant table was constructed using the following SQL : CREATE TABLE table_16799784_9 (name VARCHAR, longitude VARCHAR) | SELECT name AS origin FROM table_16799784_9 WHERE longitude = "355.0E" |
Write a SQL query that answers the following question: What is the name origin of Morrigan Linea? | The relevant table was constructed using the following SQL : CREATE TABLE table_16799784_9 (name VARCHAR) | SELECT name AS origin FROM table_16799784_9 WHERE name = "Morrigan Linea" |
Write a SQL query that answers the following question: How many years have a longitude measure of 20.0e? | The relevant table was constructed using the following SQL : CREATE TABLE table_16799784_9 (year_named VARCHAR, longitude VARCHAR) | SELECT COUNT(year_named) FROM table_16799784_9 WHERE longitude = "20.0E" |
Write a SQL query that answers the following question: At a longitude of 293.0e, what is the diameter, in km? | The relevant table was constructed using the following SQL : CREATE TABLE table_16799784_9 (diameter__km_ VARCHAR, longitude VARCHAR) | SELECT diameter__km_ FROM table_16799784_9 WHERE longitude = "293.0E" |
Write a SQL query that answers the following question: What is the release date of the bonus interview with Peter Purves? | The relevant table was constructed using the following SQL : CREATE TABLE table_1681535_1 (release_date VARCHAR, notes VARCHAR) | SELECT release_date FROM table_1681535_1 WHERE notes = "Bonus interview with Peter Purves" |
Write a SQL query that answers the following question: Which narrator has the bonus interview with Frazer Hines? | The relevant table was constructed using the following SQL : CREATE TABLE table_1681535_1 (narrator VARCHAR, notes VARCHAR) | SELECT narrator FROM table_1681535_1 WHERE notes = "Bonus interview with Frazer Hines" |
Write a SQL query that answers the following question: What is the release date for Destiny of the Daleks? | The relevant table was constructed using the following SQL : CREATE TABLE table_1681535_1 (release_date VARCHAR, title VARCHAR) | SELECT release_date FROM table_1681535_1 WHERE title = "Destiny of the Daleks" |
Write a SQL query that answers the following question: What are the profits of Wells Fargo (in billions)? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (profits__billion_$_ VARCHAR, company VARCHAR) | SELECT profits__billion_$_ FROM table_1682026_3 WHERE company = "Wells Fargo" |
Write a SQL query that answers the following question: What is the ranking of BNP Paribas? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (rank INTEGER, company VARCHAR) | SELECT MIN(rank) FROM table_1682026_3 WHERE company = "BNP Paribas" |
Write a SQL query that answers the following question: Where are the headquarters of the company whose sales were 69.2 billion? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (headquarters VARCHAR, sales__billion_$_ VARCHAR) | SELECT headquarters FROM table_1682026_3 WHERE sales__billion_$_ = "69.2" |
Write a SQL query that answers the following question: What are the assets (in billions) of the company headquartered in China and whose profits are 21.2 billion? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (assets__billion_$_ VARCHAR, headquarters VARCHAR, profits__billion_$_ VARCHAR) | SELECT assets__billion_$_ FROM table_1682026_3 WHERE headquarters = "China" AND profits__billion_$_ = "21.2" |
Write a SQL query that answers the following question: What are the profits (in billions) of the company with a market value of 172.9 billion? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (profits__billion_$_ VARCHAR, market_value__billion_$_ VARCHAR) | SELECT profits__billion_$_ FROM table_1682026_3 WHERE market_value__billion_$_ = "172.9" |
Write a SQL query that answers the following question: What are the profits (in billions) where the assets are 192.8 billion? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_3 (profits__billion_$_ VARCHAR, assets__billion_$_ VARCHAR) | SELECT profits__billion_$_ FROM table_1682026_3 WHERE assets__billion_$_ = "192.8" |
Write a SQL query that answers the following question: Name the total number of index weighting % at 17 january 2013 for bouygues | The relevant table was constructed using the following SQL : CREATE TABLE table_168274_1 (index_weighting___percentage__at_17_january_2013 VARCHAR, company VARCHAR) | SELECT COUNT(index_weighting___percentage__at_17_january_2013) FROM table_168274_1 WHERE company = "Bouygues" |
Write a SQL query that answers the following question: Name the icb sector for ai | The relevant table was constructed using the following SQL : CREATE TABLE table_168274_1 (icb_sector VARCHAR, ticker_symbol VARCHAR) | SELECT icb_sector FROM table_168274_1 WHERE ticker_symbol = "AI" |
Write a SQL query that answers the following question: Name the company where index weighting % is 11.96 | The relevant table was constructed using the following SQL : CREATE TABLE table_168274_1 (company VARCHAR, index_weighting___percentage__at_17_january_2013 VARCHAR) | SELECT company FROM table_168274_1 WHERE index_weighting___percentage__at_17_january_2013 = "11.96" |
Write a SQL query that answers the following question: Name the index weighting % for 17 januaary 2013 for rno | The relevant table was constructed using the following SQL : CREATE TABLE table_168274_1 (index_weighting___percentage__at_17_january_2013 VARCHAR, ticker_symbol VARCHAR) | SELECT index_weighting___percentage__at_17_january_2013 FROM table_168274_1 WHERE ticker_symbol = "RNO" |
Write a SQL query that answers the following question: How many headquarters are there listed for HSBC? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_7 (headquarters VARCHAR, company VARCHAR) | SELECT COUNT(headquarters) FROM table_1682026_7 WHERE company = "HSBC" |
Write a SQL query that answers the following question: What is the market value in billions when the assets totaled 1,380.88? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_7 (market_value__billion_$_ VARCHAR, assets__billion_$_ VARCHAR) | SELECT market_value__billion_$_ FROM table_1682026_7 WHERE assets__billion_$_ = "1,380.88" |
Write a SQL query that answers the following question: What is the highest rank of a company in the oil and gas industry headquartered in Netherlands? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_7 (rank INTEGER, industry VARCHAR, headquarters VARCHAR) | SELECT MAX(rank) FROM table_1682026_7 WHERE industry = "Oil and gas" AND headquarters = "Netherlands" |
Write a SQL query that answers the following question: What is the lowest rank of a company with 248.44 billions of dollars in assets? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_7 (rank INTEGER, assets__billion_$_ VARCHAR) | SELECT MIN(rank) FROM table_1682026_7 WHERE assets__billion_$_ = "248.44" |
Write a SQL query that answers the following question: In what industry was the company that had 89.16 billions of dollars in sales? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_7 (industry VARCHAR, sales__billion_$_ VARCHAR) | SELECT industry FROM table_1682026_7 WHERE sales__billion_$_ = "89.16" |
Write a SQL query that answers the following question: Name the number of rank for 9.52 profits | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_9 (rank VARCHAR, profits__billion_$_ VARCHAR) | SELECT COUNT(rank) FROM table_1682026_9 WHERE profits__billion_$_ = "9.52" |
Write a SQL query that answers the following question: Name the country for 188.77 market value | The relevant table was constructed using the following SQL : CREATE TABLE table_1682026_9 (country VARCHAR, market_value__billion_$_ VARCHAR) | SELECT country FROM table_1682026_9 WHERE market_value__billion_$_ = "188.77" |
Write a SQL query that answers the following question: What is the numeral where the English name is Florin? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682865_1 (numeral VARCHAR, english_name VARCHAR) | SELECT numeral FROM table_1682865_1 WHERE english_name = "Florin" |
Write a SQL query that answers the following question: What is the £1 fraction when the reverse is hare? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682865_1 (£1_fraction VARCHAR, reverse VARCHAR) | SELECT £1_fraction FROM table_1682865_1 WHERE reverse = "Hare" |
Write a SQL query that answers the following question: What date was the 6d introduced? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682865_1 (introduction VARCHAR, numeral VARCHAR) | SELECT introduction FROM table_1682865_1 WHERE numeral = "6d" |
Write a SQL query that answers the following question: What is the Irish name for the £1 fraction of 1/240? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682865_1 (irish_name VARCHAR, £1_fraction VARCHAR) | SELECT irish_name FROM table_1682865_1 WHERE £1_fraction = "1/240" |
Write a SQL query that answers the following question: What is the reverse when the £1 fraction is 1/480? | The relevant table was constructed using the following SQL : CREATE TABLE table_1682865_1 (reverse VARCHAR, £1_fraction VARCHAR) | SELECT reverse FROM table_1682865_1 WHERE £1_fraction = "1/480" |
Write a SQL query that answers the following question: What is the largest number of seats won? | The relevant table was constructed using the following SQL : CREATE TABLE table_168482_1 (_number_of_seats_won INTEGER) | SELECT MAX(_number_of_seats_won) FROM table_168482_1 |
Write a SQL query that answers the following question: How many percentages are listed for the election in 1983? | The relevant table was constructed using the following SQL : CREATE TABLE table_168482_1 (_percentage_of_popular_vote VARCHAR, election VARCHAR) | SELECT COUNT(_percentage_of_popular_vote) FROM table_168482_1 WHERE election = 1983 |
Write a SQL query that answers the following question: What place did the party finish in the year when they earned 0.86% of the vote? | The relevant table was constructed using the following SQL : CREATE TABLE table_168482_1 (place VARCHAR, _percentage_of_popular_vote VARCHAR) | SELECT place FROM table_168482_1 WHERE _percentage_of_popular_vote = "0.86%" |
Write a SQL query that answers the following question: What is the NCBI Accession Number for the length of 5304bp/377aa? | The relevant table was constructed using the following SQL : CREATE TABLE table_16849531_2 (ncbi_accession_number__mrna_protein_ VARCHAR, length__bp_aa_ VARCHAR) | SELECT ncbi_accession_number__mrna_protein_ FROM table_16849531_2 WHERE length__bp_aa_ = "5304bp/377aa" |
Write a SQL query that answers the following question: What is the NCBI Accession Number of the Homo Sapiens species? | The relevant table was constructed using the following SQL : CREATE TABLE table_16849531_2 (ncbi_accession_number__mrna_protein_ VARCHAR, species VARCHAR) | SELECT ncbi_accession_number__mrna_protein_ FROM table_16849531_2 WHERE species = "Homo sapiens" |
Write a SQL query that answers the following question: What is the protein identity with a length of 5304bp/377aa? | The relevant table was constructed using the following SQL : CREATE TABLE table_16849531_2 (protein_identity VARCHAR, length__bp_aa_ VARCHAR) | SELECT protein_identity FROM table_16849531_2 WHERE length__bp_aa_ = "5304bp/377aa" |
Write a SQL query that answers the following question: When was "Tell You When" released? | The relevant table was constructed using the following SQL : CREATE TABLE table_16859758_1 (release_date VARCHAR, title VARCHAR) | SELECT release_date FROM table_16859758_1 WHERE title = "Tell You When" |
Write a SQL query that answers the following question: Where was game 62 played? | The relevant table was constructed using the following SQL : CREATE TABLE table_16864968_7 (location VARCHAR, game VARCHAR) | SELECT location FROM table_16864968_7 WHERE game = 62 |
Write a SQL query that answers the following question: What was the final score when the Maple Leafs played the Columbus Blue Jackets? | The relevant table was constructed using the following SQL : CREATE TABLE table_16864968_7 (score VARCHAR, opponent VARCHAR) | SELECT score FROM table_16864968_7 WHERE opponent = "Columbus Blue Jackets" |
Write a SQL query that answers the following question: Name the network for dré steemans ann van elsen | The relevant table was constructed using the following SQL : CREATE TABLE table_16884579_1 (network VARCHAR, host_s_ VARCHAR) | SELECT network FROM table_16884579_1 WHERE host_s_ = "Dré Steemans Ann Van Elsen" |
Write a SQL query that answers the following question: Name the seasons and winners that airs 28 january 2007 | The relevant table was constructed using the following SQL : CREATE TABLE table_16884579_1 (seasons_and_winners VARCHAR, premiere VARCHAR) | SELECT seasons_and_winners FROM table_16884579_1 WHERE premiere = "28 January 2007" |
Write a SQL query that answers the following question: Name the host for prime | The relevant table was constructed using the following SQL : CREATE TABLE table_16884579_1 (host_s_ VARCHAR, network VARCHAR) | SELECT host_s_ FROM table_16884579_1 WHERE network = "Prime" |
Write a SQL query that answers the following question: Name the number of judges for dré steemans ann van elsen | The relevant table was constructed using the following SQL : CREATE TABLE table_16884579_1 (judges VARCHAR, host_s_ VARCHAR) | SELECT COUNT(judges) FROM table_16884579_1 WHERE host_s_ = "Dré Steemans Ann Van Elsen" |
Write a SQL query that answers the following question: Name the website for car number of 92 | The relevant table was constructed using the following SQL : CREATE TABLE table_1688640_4 (website VARCHAR, car__number VARCHAR) | SELECT website FROM table_1688640_4 WHERE car__number = "92" |
Write a SQL query that answers the following question: Name the year started where car number is 55 | The relevant table was constructed using the following SQL : CREATE TABLE table_1688640_4 (year_started INTEGER, car__number VARCHAR) | SELECT MAX(year_started) FROM table_1688640_4 WHERE car__number = "55" |
Write a SQL query that answers the following question: Name the car number for 1997 | The relevant table was constructed using the following SQL : CREATE TABLE table_1688640_4 (car__number VARCHAR, year_started VARCHAR) | SELECT car__number FROM table_1688640_4 WHERE year_started = 1997 |
Write a SQL query that answers the following question: Name the nickerie for marowijne being 4.7% | The relevant table was constructed using the following SQL : CREATE TABLE table_16886076_1 (nickerie VARCHAR, marowijne VARCHAR) | SELECT COUNT(nickerie) FROM table_16886076_1 WHERE marowijne = "4.7%" |
Write a SQL query that answers the following question: Name the coronie for marowijne being 6.8% | The relevant table was constructed using the following SQL : CREATE TABLE table_16886076_1 (coronie VARCHAR, marowijne VARCHAR) | SELECT coronie FROM table_16886076_1 WHERE marowijne = "6.8%" |
Write a SQL query that answers the following question: Name the para for 1.5% commewijne | The relevant table was constructed using the following SQL : CREATE TABLE table_16886076_1 (para VARCHAR, commewijne VARCHAR) | SELECT para FROM table_16886076_1 WHERE commewijne = "1.5%" |
Write a SQL query that answers the following question: Name the least amount of races for 2 poles | The relevant table was constructed using the following SQL : CREATE TABLE table_16908657_1 (races INTEGER, poles VARCHAR) | SELECT MIN(races) FROM table_16908657_1 WHERE poles = 2 |
Write a SQL query that answers the following question: Name the motorcycle for season 2012 | The relevant table was constructed using the following SQL : CREATE TABLE table_16908657_1 (motorcycle VARCHAR, season VARCHAR) | SELECT motorcycle FROM table_16908657_1 WHERE season = 2012 |
Write a SQL query that answers the following question: Name the number of flaps for 63 points | The relevant table was constructed using the following SQL : CREATE TABLE table_16908657_1 (flaps VARCHAR, points VARCHAR) | SELECT COUNT(flaps) FROM table_16908657_1 WHERE points = "63" |
Write a SQL query that answers the following question: Name the least flaps | The relevant table was constructed using the following SQL : CREATE TABLE table_16908657_1 (flaps INTEGER) | SELECT MIN(flaps) FROM table_16908657_1 |
Write a SQL query that answers the following question: How many p.ret are there when kr avg is 11.3 ? | The relevant table was constructed using the following SQL : CREATE TABLE table_16912000_13 (p_ret VARCHAR, kr_avg VARCHAR) | SELECT COUNT(p_ret) FROM table_16912000_13 WHERE kr_avg = "11.3" |
Write a SQL query that answers the following question: What is the kr td when mfg lg is 64? | The relevant table was constructed using the following SQL : CREATE TABLE table_16912000_13 (kr_td VARCHAR, mfg_lg VARCHAR) | SELECT kr_td FROM table_16912000_13 WHERE mfg_lg = 64 |
Write a SQL query that answers the following question: Who's average is 24.8? | The relevant table was constructed using the following SQL : CREATE TABLE table_16912000_13 (player VARCHAR, kr_avg VARCHAR) | SELECT player FROM table_16912000_13 WHERE kr_avg = "24.8" |
Write a SQL query that answers the following question: What is the pr avg, when kr lg is 49? | The relevant table was constructed using the following SQL : CREATE TABLE table_16912000_13 (pr_avg VARCHAR, kr_lg VARCHAR) | SELECT pr_avg FROM table_16912000_13 WHERE kr_lg = 49 |
Write a SQL query that answers the following question: what is the population where municipality is san jacinto? | The relevant table was constructed using the following SQL : CREATE TABLE table_1691800_2 (population__2010_ VARCHAR, municipality VARCHAR) | SELECT population__2010_ FROM table_1691800_2 WHERE municipality = "San Jacinto" |
Write a SQL query that answers the following question: what is the income class for area 75? | The relevant table was constructed using the following SQL : CREATE TABLE table_1691800_2 (income_class VARCHAR, area__km²_ VARCHAR) | SELECT income_class FROM table_1691800_2 WHERE area__km²_ = 75 |
Write a SQL query that answers the following question: what is th area where the municipaity is labrador? | The relevant table was constructed using the following SQL : CREATE TABLE table_1691800_2 (area__km²_ VARCHAR, municipality VARCHAR) | SELECT area__km²_ FROM table_1691800_2 WHERE municipality = "Labrador" |
Write a SQL query that answers the following question: what is the municipality where the area is 73? | The relevant table was constructed using the following SQL : CREATE TABLE table_1691800_2 (municipality VARCHAR, area__km²_ VARCHAR) | SELECT municipality FROM table_1691800_2 WHERE area__km²_ = 73 |
Write a SQL query that answers the following question: Name the equipment for bike number 6 | The relevant table was constructed using the following SQL : CREATE TABLE table_16941304_4 (equipment VARCHAR, bike_no VARCHAR) | SELECT equipment FROM table_16941304_4 WHERE bike_no = 6 |
Write a SQL query that answers the following question: Name the driver passenger for 394 points | The relevant table was constructed using the following SQL : CREATE TABLE table_16941304_4 (driver___passenger VARCHAR, points VARCHAR) | SELECT driver___passenger FROM table_16941304_4 WHERE points = 394 |
Write a SQL query that answers the following question: Name the equipment for bike number being 3 | The relevant table was constructed using the following SQL : CREATE TABLE table_16941304_4 (equipment VARCHAR, bike_no VARCHAR) | SELECT equipment FROM table_16941304_4 WHERE bike_no = 3 |
Write a SQL query that answers the following question: In district New York 10th, what was the reason for change? | The relevant table was constructed using the following SQL : CREATE TABLE table_1694492_2 (reason_for_change VARCHAR, district VARCHAR) | SELECT reason_for_change FROM table_1694492_2 WHERE district = "New York 10th" |
Write a SQL query that answers the following question: In the district Wisconsin 2nd, what was the reason for change? | The relevant table was constructed using the following SQL : CREATE TABLE table_1694505_4 (reason_for_change VARCHAR, district VARCHAR) | SELECT reason_for_change FROM table_1694505_4 WHERE district = "Wisconsin 2nd" |
Write a SQL query that answers the following question: Name the least age 30-39 where age 20-29 is 593 | The relevant table was constructed using the following SQL : CREATE TABLE table_169693_1 (age_30_39 INTEGER, age_20_29 VARCHAR) | SELECT MIN(age_30_39) FROM table_169693_1 WHERE age_20_29 = 593 |
Write a SQL query that answers the following question: Name the least age 40-49 | The relevant table was constructed using the following SQL : CREATE TABLE table_169693_1 (age_40_49 INTEGER) | SELECT MIN(age_40_49) FROM table_169693_1 |
Write a SQL query that answers the following question: Name the age 30-39 and age 10-19 380 | The relevant table was constructed using the following SQL : CREATE TABLE table_169693_1 (age_30_39 VARCHAR, age_10_19 VARCHAR) | SELECT age_30_39 FROM table_169693_1 WHERE age_10_19 = 380 |
Write a SQL query that answers the following question: Name the score for number 4 | The relevant table was constructed using the following SQL : CREATE TABLE table_16967990_1 (score VARCHAR, _number VARCHAR) | SELECT score FROM table_16967990_1 WHERE _number = "4" |
Write a SQL query that answers the following question: How many numbers were recorded for Chester when the religion was Hindu? | The relevant table was constructed using the following SQL : CREATE TABLE table_16974228_1 (chester VARCHAR, religion VARCHAR) | SELECT COUNT(chester) FROM table_16974228_1 WHERE religion = "Hindu" |
Write a SQL query that answers the following question: what was Casey Martin's minimum yearly earnings? | The relevant table was constructed using the following SQL : CREATE TABLE table_1697190_2 (earnings___ INTEGER) | SELECT MIN(earnings___) AS $__ FROM table_1697190_2 |
Write a SQL query that answers the following question: when Casey Martin's best finish was t-65, where did he land in the money list rankings? | The relevant table was constructed using the following SQL : CREATE TABLE table_1697190_2 (money_list_rank VARCHAR, best_finish VARCHAR) | SELECT money_list_rank FROM table_1697190_2 WHERE best_finish = "T-65" |
Write a SQL query that answers the following question: how many times did Casey Martin win? | The relevant table was constructed using the following SQL : CREATE TABLE table_1697190_2 (wins INTEGER) | SELECT MAX(wins) FROM table_1697190_2 |
Write a SQL query that answers the following question: Name the total number of air dates for 05 cycle | The relevant table was constructed using the following SQL : CREATE TABLE table_16976547_2 (air_dates VARCHAR, cycle_no VARCHAR) | SELECT COUNT(air_dates) FROM table_16976547_2 WHERE cycle_no = "05" |
Write a SQL query that answers the following question: Name the vote for gigit | The relevant table was constructed using the following SQL : CREATE TABLE table_16976547_2 (vote VARCHAR, eliminated VARCHAR) | SELECT vote FROM table_16976547_2 WHERE eliminated = "Gigit" |
Write a SQL query that answers the following question: Name the finish for patani | The relevant table was constructed using the following SQL : CREATE TABLE table_16976547_2 (finish VARCHAR, eliminated VARCHAR) | SELECT finish FROM table_16976547_2 WHERE eliminated = "Patani" |
Write a SQL query that answers the following question: Name the total number of immunity for cycle number of 13 | The relevant table was constructed using the following SQL : CREATE TABLE table_16976547_2 (immunity VARCHAR, cycle_no VARCHAR) | SELECT COUNT(immunity) FROM table_16976547_2 WHERE cycle_no = "13" |
Write a SQL query that answers the following question: For the NBC network, what was the new/returning/same network status? | The relevant table was constructed using the following SQL : CREATE TABLE table_169766_13 (new_returning_same_network VARCHAR, previous_network VARCHAR) | SELECT new_returning_same_network FROM table_169766_13 WHERE previous_network = "NBC" |
Write a SQL query that answers the following question: Which show was sent to syndication for its new/returning/same network. | The relevant table was constructed using the following SQL : CREATE TABLE table_169766_13 (show VARCHAR, new_returning_same_network VARCHAR) | SELECT show FROM table_169766_13 WHERE new_returning_same_network = "Syndication" |
Write a SQL query that answers the following question: What is the new/returning/same network name for This Week in Baseball? | The relevant table was constructed using the following SQL : CREATE TABLE table_169766_13 (new_returning_same_network VARCHAR, show VARCHAR) | SELECT new_returning_same_network FROM table_169766_13 WHERE show = "This Week in Baseball" |
Write a SQL query that answers the following question: Which show as previously on The Family Channel? | The relevant table was constructed using the following SQL : CREATE TABLE table_169766_13 (show VARCHAR, previous_network VARCHAR) | SELECT show FROM table_169766_13 WHERE previous_network = "The Family Channel" |
Write a SQL query that answers the following question: Did the name change for the program last aired in 1958? | The relevant table was constructed using the following SQL : CREATE TABLE table_169766_13 (retitled_as_same VARCHAR, last_aired VARCHAR) | SELECT retitled_as_same FROM table_169766_13 WHERE last_aired = 1958 |
Write a SQL query that answers the following question: What was the rating of the episode with an overall ranking of 190? | The relevant table was constructed using the following SQL : CREATE TABLE table_16993379_1 (rating VARCHAR, rank__overall_ VARCHAR) | SELECT rating FROM table_16993379_1 WHERE rank__overall_ = "190" |
Write a SQL query that answers the following question: How many were the shares when the viewers reached 3.11 million? | The relevant table was constructed using the following SQL : CREATE TABLE table_16993379_1 (share VARCHAR, viewers__millions_ VARCHAR) | SELECT COUNT(share) FROM table_16993379_1 WHERE viewers__millions_ = "3.11" |
Write a SQL query that answers the following question: Name the saka era for malayalam മിഥുനം | The relevant table was constructed using the following SQL : CREATE TABLE table_169955_1 (saka_era VARCHAR, in_malayalam VARCHAR) | SELECT saka_era FROM table_169955_1 WHERE in_malayalam = "മിഥുനം" |
Write a SQL query that answers the following question: Name the months in the malayalam era for കുംഭം | The relevant table was constructed using the following SQL : CREATE TABLE table_169955_1 (months_in_malayalam_era VARCHAR, in_malayalam VARCHAR) | SELECT months_in_malayalam_era FROM table_169955_1 WHERE in_malayalam = "കുംഭം" |
Write a SQL query that answers the following question: Name the sign of zodiac for chithirai | The relevant table was constructed using the following SQL : CREATE TABLE table_169955_1 (sign_of_zodiac VARCHAR, tamil_calendar VARCHAR) | SELECT sign_of_zodiac FROM table_169955_1 WHERE tamil_calendar = "Chithirai" |
Write a SQL query that answers the following question: Name the saka era for sign of zodiac being pisces | The relevant table was constructed using the following SQL : CREATE TABLE table_169955_1 (saka_era VARCHAR, sign_of_zodiac VARCHAR) | SELECT saka_era FROM table_169955_1 WHERE sign_of_zodiac = "Pisces" |
Write a SQL query that answers the following question: Name the number of gregorian calenda rof gemini | The relevant table was constructed using the following SQL : CREATE TABLE table_169955_1 (gregorian_calendar VARCHAR, sign_of_zodiac VARCHAR) | SELECT COUNT(gregorian_calendar) FROM table_169955_1 WHERE sign_of_zodiac = "Gemini" |
Write a SQL query that answers the following question: For High Assists of Raymond Felton (12), who were the High rebounds? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_10 (high_rebounds VARCHAR, high_assists VARCHAR) | SELECT high_rebounds FROM table_17001658_10 WHERE high_assists = "Raymond Felton (12)" |
Write a SQL query that answers the following question: On what date was the team Philadelphia? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_10 (date VARCHAR, team VARCHAR) | SELECT date FROM table_17001658_10 WHERE team = "Philadelphia" |
Write a SQL query that answers the following question: Who was the high rebound for the high assists of d. j. augustin (8)? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_10 (high_rebounds VARCHAR, high_assists VARCHAR) | SELECT high_rebounds FROM table_17001658_10 WHERE high_assists = "D. J. Augustin (8)" |
Write a SQL query that answers the following question: What was the final score of the game with gerald wallace (14) as the High Rebound? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_10 (record VARCHAR, high_rebounds VARCHAR) | SELECT record FROM table_17001658_10 WHERE high_rebounds = "Gerald Wallace (14)" |
Write a SQL query that answers the following question: What was the final score in game 15? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_5 (score VARCHAR, game VARCHAR) | SELECT score FROM table_17001658_5 WHERE game = 15 |
Write a SQL query that answers the following question: Who had the most assists and how many did they have in the game against Miami? | The relevant table was constructed using the following SQL : CREATE TABLE table_17001658_5 (high_assists VARCHAR, team VARCHAR) | SELECT high_assists FROM table_17001658_5 WHERE team = "Miami" |
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