GenSEC-LLM/SLT-Task1-Post-ASR-Text-Correction

hypothesis listlengths 5 5	transcription stringlengths 2 920	input1 stringlengths 3 1.18k ⌀	hypothesis_concatenated stringlengths 15 5.37k ⌀	source stringclasses 8 values	id stringclasses 0 values	dummy_list listlengths 0 0	prompt stringlengths 138 6.25k
[ "this area is also owned and managed by the national trust", "this area is also earned and managed by the national trust", "this area is also earned and managed by the national trust", "this area is also owned and managed by the national trust", "this area is also earned and managed by the national trust" ]	this area is also owned and managed by the national trust	this area is also owned and managed by the national trust.	this area is also earned and managed by the national trust. this area is also earned and managed by the national trust. this area is also owned and managed by the national trust. this area is also earned and managed by the national trust.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this area is also owned and managed by the national trust', 'this area is also earned and managed by the national trust', 'this area is also earned and managed by the national trust', 'this area is also owned and managed by the national trust', 'this area is also earned and managed by the national trust']
[ "dunmore never returned to virginia", "done more never return to virginia", "dunmoor never returned to virginia", "do not more never return to virginia", "donmore never return to virginia" ]	dunmore never returned to virginia	dunmore never returned to virginia.	done more never return to virginia. dunmoor never returned to virginia. do not more never return to virginia. donmore never return to virginia.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dunmore never returned to virginia', 'done more never return to virginia', 'dunmoor never returned to virginia', 'do not more never return to virginia', 'donmore never return to virginia']
[ "this can be extremely common", "this can be extremely common", "this can be extremely common", "this can be extremely common", "this can be extremely common" ]	these can be extremely common	this can be extremely common.	this can be extremely common. this can be extremely common. this can be extremely common. this can be extremely common.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this can be extremely common', 'this can be extremely common', 'this can be extremely common', 'this can be extremely common', 'this can be extremely common']
[ "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically" ]	the nominations and votes are collected electronically	the nominations and votes are collected electronically.	the nominations and votes are collected electronically. the nominations and votes are collected electronically. the nominations and votes are collected electronically. the nominations and votes are collected electronically.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically']
[ "a man stands on stills while children wash", "a man stands on still while children wash", "the man stands on stills while children wash", "a man stands on stills while children march", "a man stands on stilts while children wash" ]	a man stands on stilts while children watch	a man stands on stills while children wash.	a man stands on still while children wash. the man stands on stills while children wash. a man stands on stills while children march. a man stands on stilts while children wash.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man stands on stills while children wash', 'a man stands on still while children wash', 'the man stands on stills while children wash', 'a man stands on stills while children march', 'a man stands on stilts while children wash']
[ "should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "or services should be narrowly aligned with that responsibility" ]	all its services should be narrowly aligned with that responsibility	should be narrowly aligned with that responsibility.	what services should be narrowly aligned with that responsibility. what services should be narrowly aligned with that responsibility. what services should be narrowly aligned with that responsibility. or services should be narrowly aligned with that responsibility.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'or services should be narrowly aligned with that responsibility']
[ "eliminium sulfate is rarely if ever encountered at the anhydrous salt", "eliminium sulfate is rarely if ever encountered at the anhydrous salt", "eliminum sulfate is rarely if ever encountered at the anhydrous salt", "aluminum sulfate is rarely if ever encountered at the anhydrous salt", "eliminum sulfate is rarely if ever encountered at the anhydrous salt" ]	aluminum sulfate is rarely if ever encountered as the anhydrous salt	eliminium sulfate is rarely if ever encountered at the anhydrous salt.	eliminium sulfate is rarely if ever encountered at the anhydrous salt. eliminum sulfate is rarely if ever encountered at the anhydrous salt. aluminum sulfate is rarely if ever encountered at the anhydrous salt. eliminum sulfate is rarely if ever encountered at the anhydrous salt.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eliminium sulfate is rarely if ever encountered at the anhydrous salt', 'eliminium sulfate is rarely if ever encountered at the anhydrous salt', 'eliminum sulfate is rarely if ever encountered at the anhydrous salt', 'aluminum sulfate is rarely if ever encountered at the anhydrous salt', 'eliminum sulfate is rarely if ever encountered at the anhydrous salt']
[ "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times" ]	the cultural boundaries have not been static even during historical times	the cultural boundaries have not been static even during historical times.	the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times']
[ "autobuses travel to shala tamanco and san salvador dalyu", "auto buses travel to shala tamanco and san sarvado dalyu", "auto buses travel to shala tamanco and san sarvado dailu", "autobuses travel to shaila tamanco and san salvador dalyu", "autobuses travel to shaila tamanco and san salvador dailu" ]	autobuses travel to chalatenango and san salvador daily	autobuses travel to shala tamanco and san salvador dalyu.	auto buses travel to shala tamanco and san sarvado dalyu. auto buses travel to shala tamanco and san sarvado dailu. autobuses travel to shaila tamanco and san salvador dalyu. autobuses travel to shaila tamanco and san salvador dailu.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['autobuses travel to shala tamanco and san salvador dalyu', 'auto buses travel to shala tamanco and san sarvado dalyu', 'auto buses travel to shala tamanco and san sarvado dailu', 'autobuses travel to shaila tamanco and san salvador dalyu', 'autobuses travel to shaila tamanco and san salvador dailu']
[ "once this rule has been established the rule sweeps", "once this rule has been established the rule sweps", "once this rule has been established the rule swebs", "once this rule has been established the rule swaps", "once this rule has been established the rules webs" ]	once this rule has been established the rule swaps	once this rule has been established the rule sweeps.	once this rule has been established the rule sweps. once this rule has been established the rule swebs. once this rule has been established the rule swaps. once this rule has been established the rules webs.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['once this rule has been established the rule sweeps', 'once this rule has been established the rule sweps', 'once this rule has been established the rule swebs', 'once this rule has been established the rule swaps', 'once this rule has been established the rules webs']
[ "the plots featured characters who were interested in science and mathematics", "the plot featured characters who were interested in science and mathematics", "the plot is featured characters who were interested in science and mathematics", "the plots featured characters who are interested in science and mathematics", "the bloods featured characters who were interested in science and mathematics" ]	the plots featured characters who were interested in science and mathematics	the plots featured characters who were interested in science and mathematics.	the plot featured characters who were interested in science and mathematics. the plot is featured characters who were interested in science and mathematics. the plots featured characters who are interested in science and mathematics. the bloods featured characters who were interested in science and mathematics.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the plots featured characters who were interested in science and mathematics', 'the plot featured characters who were interested in science and mathematics', 'the plot is featured characters who were interested in science and mathematics', 'the plots featured characters who are interested in science and mathematics', 'the bloods featured characters who were interested in science and mathematics']
[ "the library provided by the send mail consortium is p thread based", "the library provided by the send mail consortium is p thread based", "the library provided by the syncmail consortium is p thread based", "the library provided by the single mail consortium is p thread based", "the library provided by the saint mal consortium is p thread based" ]	the library provided by the sendmail consortium is pthread based	the library provided by the send mail consortium is p thread based.	the library provided by the send mail consortium is p thread based. the library provided by the syncmail consortium is p thread based. the library provided by the single mail consortium is p thread based. the library provided by the saint mal consortium is p thread based.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the library provided by the send mail consortium is p thread based', 'the library provided by the send mail consortium is p thread based', 'the library provided by the syncmail consortium is p thread based', 'the library provided by the single mail consortium is p thread based', 'the library provided by the saint mal consortium is p thread based']
[ "the hito was fitted as standard", "a hero was fitted as standard", "the people was fitted as standard", "the hitler was fitted as standard", "a hit was fitted as standard" ]	a heater was fitted as standard	the hito was fitted as standard.	a hero was fitted as standard. the people was fitted as standard. the hitler was fitted as standard. a hit was fitted as standard.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hito was fitted as standard', 'a hero was fitted as standard', 'the people was fitted as standard', 'the hitler was fitted as standard', 'a hit was fitted as standard']
[ "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits" ]	she becomes his lover accompanying him and his gang on their exploits	she becomes his lover accompanying him and his gang on their exploits.	she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits']
[ "today the couple live in roath and cado", "today the couple live in roof and cado", "today the couple live in roof and kado", "today the couple live in roof and coddo", "today we have a couple of live in roof and coddo" ]	today the couple live in roath in cardiff	today the couple live in roath and cado.	today the couple live in roof and cado. today the couple live in roof and kado. today the couple live in roof and coddo. today we have a couple of live in roof and coddo.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today the couple live in roath and cado', 'today the couple live in roof and cado', 'today the couple live in roof and kado', 'today the couple live in roof and coddo', 'today we have a couple of live in roof and coddo']
[ "the affiliation with wine is shared with the assistant city of huntington british columbia canada", "the affiliation with wine is shared with the assistive city of pentington british columbia canada", "the affiliation with wine is shared with the assistant city of pentington british columbia canada", "the affiliation with wine is shared with the assister city of pentington british columbia canada", "the affiliation with wine is shared with the assisted city of pentington british columbia canada" ]	the affiliation with wine is shared with their sister city of penticton british columbia canada	the affiliation with wine is shared with the assistant city of huntington british columbia canada.	the affiliation with wine is shared with the assistive city of pentington british columbia canada. the affiliation with wine is shared with the assistant city of pentington british columbia canada. the affiliation with wine is shared with the assister city of pentington british columbia canada. the affiliation with wine is shared with the assisted city of pentington british columbia canada.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the affiliation with wine is shared with the assistant city of huntington british columbia canada', 'the affiliation with wine is shared with the assistive city of pentington british columbia canada', 'the affiliation with wine is shared with the assistant city of pentington british columbia canada', 'the affiliation with wine is shared with the assister city of pentington british columbia canada', 'the affiliation with wine is shared with the assisted city of pentington british columbia canada']
[ "the dozelefin has a long base and around the tip", "the dozle fin has a long base and around the tip", "the dorsal fin has a long base and around the tip", "the dozelefin has a long base and around a tip", "the dozle fin has a long base and around a tip" ]	the dorsal fin has a long base and a rounded tip	the dozelefin has a long base and around the tip.	the dozle fin has a long base and around the tip. the dorsal fin has a long base and around the tip. the dozelefin has a long base and around a tip. the dozle fin has a long base and around a tip.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dozelefin has a long base and around the tip', 'the dozle fin has a long base and around the tip', 'the dorsal fin has a long base and around the tip', 'the dozelefin has a long base and around a tip', 'the dozle fin has a long base and around a tip']
[ "you are never dirty she says", "you are never dirty she says", "you are never dirty she says", "you are never dirty she says", "you are never dirty she says" ]	you are never dirty she says	you are never dirty she says.	you are never dirty she says. you are never dirty she says. you are never dirty she says. you are never dirty she says.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says']
[ "it was with free for all that bent face the specter of the one hit wonder", "it was with free for all that bent face the specter of the one hit wonder", "it was with free for all that pen face the specter of the one hit wonder", "it was with free for all that pen phase the specter of the one hit wonder", "it was with free for all that pen face the specter of the one hit wonder" ]	it was with free for all that penn faced the specter of the one hit wonder	it was with free for all that bent face the specter of the one hit wonder.	it was with free for all that bent face the specter of the one hit wonder. it was with free for all that pen face the specter of the one hit wonder. it was with free for all that pen phase the specter of the one hit wonder. it was with free for all that pen face the specter of the one hit wonder.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was with free for all that bent face the specter of the one hit wonder', 'it was with free for all that bent face the specter of the one hit wonder', 'it was with free for all that pen face the specter of the one hit wonder', 'it was with free for all that pen phase the specter of the one hit wonder', 'it was with free for all that pen face the specter of the one hit wonder']
[ "the village also has a church in village hall", "the village also has a church in village hall", "the village also has a church in fillage hall", "the village also has a church in village hall", "the village also has a church in village hall" ]	the village also has a church and village hall	the village also has a church in village hall.	the village also has a church in village hall. the village also has a church in fillage hall. the village also has a church in village hall. the village also has a church in village hall.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village also has a church in village hall', 'the village also has a church in village hall', 'the village also has a church in fillage hall', 'the village also has a church in village hall', 'the village also has a church in village hall']
[ "the village has a public house the cold chain horses", "the village has a public house the coal chain horses", "the village has a public house the coach and horses", "the village has a public house the culture and horses", "the village has a public house the cold chain horses" ]	the village has a public house the coach and horses	the village has a public house the cold chain horses.	the village has a public house the coal chain horses. the village has a public house the coach and horses. the village has a public house the culture and horses. the village has a public house the cold chain horses.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village has a public house the cold chain horses', 'the village has a public house the coal chain horses', 'the village has a public house the coach and horses', 'the village has a public house the culture and horses', 'the village has a public house the cold chain horses']
[ "the road held wage industry bitterly opposed nationalization and found a lies in the conservative party", "the road held wage industry bitterly opposed nationalization and found a lies in the conservative party", "the road held wage industry bitterly opposed nationalization and found allies in the conservative party", "the road hell wage industry bitterly opposed nationalization and found allies in the conservative party", "the road held wage industry bitterly opposed nationalization and found allies in the conservative party" ]	the road haulage industry bitterly opposed nationalization and found allies in the conservative party	the road held wage industry bitterly opposed nationalization and found a lies in the conservative party.	the road held wage industry bitterly opposed nationalization and found a lies in the conservative party. the road held wage industry bitterly opposed nationalization and found allies in the conservative party. the road hell wage industry bitterly opposed nationalization and found allies in the conservative party. the road held wage industry bitterly opposed nationalization and found allies in the conservative party.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the road held wage industry bitterly opposed nationalization and found a lies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found a lies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found allies in the conservative party', 'the road hell wage industry bitterly opposed nationalization and found allies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found allies in the conservative party']
[ "the suspension of the solid and liquid is then poured through the funnel", "the suspension of solid and liquid is then poured through the funnel", "the suspension of the solid and liquid is then poured over the funnel", "the suspension of solid and liquid is then poured over the funnel", "the suspension of solid and liquid is then poured through the funnel" ]	the suspension of solid and liquid is then poured through the funnel	the suspension of the solid and liquid is then poured through the funnel.	the suspension of solid and liquid is then poured through the funnel. the suspension of the solid and liquid is then poured over the funnel. the suspension of solid and liquid is then poured over the funnel. the suspension of solid and liquid is then poured through the funnel.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the suspension of the solid and liquid is then poured through the funnel', 'the suspension of solid and liquid is then poured through the funnel', 'the suspension of the solid and liquid is then poured over the funnel', 'the suspension of solid and liquid is then poured over the funnel', 'the suspension of solid and liquid is then poured through the funnel']
[ "it reproduces asexually by icedia", "it reproduces asexually by icidia", "it reproduces asexually by icidia", "it reproduces asexually by icedea", "it reproduces asexually by icedia" ]	it reproduces asexually by isidia	it reproduces asexually by icedia.	it reproduces asexually by icidia. it reproduces asexually by icidia. it reproduces asexually by icedea. it reproduces asexually by icedia.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it reproduces asexually by icedia', 'it reproduces asexually by icidia', 'it reproduces asexually by icidia', 'it reproduces asexually by icedea', 'it reproduces asexually by icedia']
[ "the table of bill long j class yatch follows", "table of bill long j class h fallows", "the table of bill long j class yacht follows", "the table of bill long j class yacht is follows", "table of bill long j class yatch follows" ]	a table of well known j class yachts follows	the table of bill long j class yatch follows.	table of bill long j class h fallows. the table of bill long j class yacht follows. the table of bill long j class yacht is follows. table of bill long j class yatch follows.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the table of bill long j class yatch follows', 'table of bill long j class h fallows', 'the table of bill long j class yacht follows', 'the table of bill long j class yacht is follows', 'table of bill long j class yatch follows']
[ "the winner was ab jackson", "the winner was abie jackson", "the winner was ab jackson", "the winner was ab jackson", "the winner was ab jackson" ]	the winner was eddie jackson	the winner was ab jackson.	the winner was abie jackson. the winner was ab jackson. the winner was ab jackson. the winner was ab jackson.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the winner was ab jackson', 'the winner was abie jackson', 'the winner was ab jackson', 'the winner was ab jackson', 'the winner was ab jackson']
[ "some freight trains will use the sign today", "some freight trains will use this sign today", "some freight trains so we will use the sign today", "some freight trains so we will use this sign today", "some fright drains so we will use the sign today" ]	some freight trains still use this line today	some freight trains will use the sign today.	some freight trains will use this sign today. some freight trains so we will use the sign today. some freight trains so we will use this sign today. some fright drains so we will use the sign today.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some freight trains will use the sign today', 'some freight trains will use this sign today', 'some freight trains so we will use the sign today', 'some freight trains so we will use this sign today', 'some fright drains so we will use the sign today']
[ "under science control the age exercised enormous political power in victoria", "under signs control the age exercised enormous political power in victoria", "under science control the age execised enormous political power in victoria", "under science control the age exercised enormous political power in victoria", "under signs controlled the age exercised enormous political power in victoria" ]	under syme is control the age exercised enormous political power in victoria	under science control the age exercised enormous political power in victoria.	under signs control the age exercised enormous political power in victoria. under science control the age execised enormous political power in victoria. under science control the age exercised enormous political power in victoria. under signs controlled the age exercised enormous political power in victoria.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['under science control the age exercised enormous political power in victoria', 'under signs control the age exercised enormous political power in victoria', 'under science control the age execised enormous political power in victoria', 'under science control the age exercised enormous political power in victoria', 'under signs controlled the age exercised enormous political power in victoria']
[ "the beef then sits in the broth typically for hours", "the beef then sits in the broth typically for hours", "the beef then sits in the broth typically for hours", "the beef densets in the broth typically for hours", "the beef then sticks in the broth typically for hours" ]	the beef then sits in the broth typically for hours	the beef then sits in the broth typically for hours.	the beef then sits in the broth typically for hours. the beef then sits in the broth typically for hours. the beef densets in the broth typically for hours. the beef then sticks in the broth typically for hours.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the beef then sits in the broth typically for hours', 'the beef then sits in the broth typically for hours', 'the beef then sits in the broth typically for hours', 'the beef densets in the broth typically for hours', 'the beef then sticks in the broth typically for hours']
[ "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged" ]	eleven civilians were killed and most of the houses were damaged	eleven civilians were killed and most of the houses were damaged.	eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged']
[ "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artwork for the area", "the auckland city council has initiated a program of public artworks for the area" ]	the auckland city council has initiated a program of public artworks for the area	the auckland city council has initiated a program of public artworks for the area.	the auckland city council has initiated a program of public artworks for the area. the auckland city council has initiated a program of public artworks for the area. the auckland city council has initiated a program of public artwork for the area. the auckland city council has initiated a program of public artworks for the area.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artwork for the area', 'the auckland city council has initiated a program of public artworks for the area']
[ "from above and higher semi permanent snow and ice fields exist during winter", "from above and higher semi permanent snow and ice fields exist during winter", "from about and higher semi permanent snow and ice fields exist during winter", "from above and higher semi permanent snow and ice fields exists during winter", "from above and higher semi permanent snow and ice feels existing during winter" ]	from about and higher semi permanent snow and ice fields exist during winter	from above and higher semi permanent snow and ice fields exist during winter.	from above and higher semi permanent snow and ice fields exist during winter. from about and higher semi permanent snow and ice fields exist during winter. from above and higher semi permanent snow and ice fields exists during winter. from above and higher semi permanent snow and ice feels existing during winter.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from above and higher semi permanent snow and ice fields exist during winter', 'from above and higher semi permanent snow and ice fields exist during winter', 'from about and higher semi permanent snow and ice fields exist during winter', 'from above and higher semi permanent snow and ice fields exists during winter', 'from above and higher semi permanent snow and ice feels existing during winter']
[ "the series was created and produced by nick orchin", "the series was created and produced by nick orchard", "this series was created and produced by nick orchin", "the series was created and produced by nick orchin", "the series was created and produced by nick orchard" ]	the series was created and produced by nick orchard	the series was created and produced by nick orchin.	the series was created and produced by nick orchard. this series was created and produced by nick orchin. the series was created and produced by nick orchin. the series was created and produced by nick orchard.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the series was created and produced by nick orchin', 'the series was created and produced by nick orchard', 'this series was created and produced by nick orchin', 'the series was created and produced by nick orchin', 'the series was created and produced by nick orchard']
[ "you play the undercover cop in the forms window opposite chillin fan", "he played an undercover cop in the forms window opposite chillin fan", "he played an undercover cop in the forms window opposite charlene finn", "he played an undercover cop in the form is window opposite chillin fan", "he played an undercover cop in the form is window opposite charlene finn" ]	he played an undercover cop in the film swindle opposite sherilyn fenn	you play the undercover cop in the forms window opposite chillin fan.	he played an undercover cop in the forms window opposite chillin fan. he played an undercover cop in the forms window opposite charlene finn. he played an undercover cop in the form is window opposite chillin fan. he played an undercover cop in the form is window opposite charlene finn.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you play the undercover cop in the forms window opposite chillin fan', 'he played an undercover cop in the forms window opposite chillin fan', 'he played an undercover cop in the forms window opposite charlene finn', 'he played an undercover cop in the form is window opposite chillin fan', 'he played an undercover cop in the form is window opposite charlene finn']
[ "back on serenity my precious scenario for an explanation offers a post designness", "back on serenity my precious scenario for an explanation offers a post design", "back on serenity my precious scenario for an explanation offers a post designance", "back on serenity mal presses in out of foreign explanation offers a post designness", "back on serenity malpress is in honor of foreign explanation offers a post designness" ]	back on serenity mal presses inara for an explanation of her supposed dizziness	back on serenity my precious scenario for an explanation offers a post designness.	back on serenity my precious scenario for an explanation offers a post design. back on serenity my precious scenario for an explanation offers a post designance. back on serenity mal presses in out of foreign explanation offers a post designness. back on serenity malpress is in honor of foreign explanation offers a post designness.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['back on serenity my precious scenario for an explanation offers a post designness', 'back on serenity my precious scenario for an explanation offers a post design', 'back on serenity my precious scenario for an explanation offers a post designance', 'back on serenity mal presses in out of foreign explanation offers a post designness', 'back on serenity malpress is in honor of foreign explanation offers a post designness']
[ "a lot of couples sit outside at a park in the daytime", "a lot of couples sit outside at a park in the day time", "a lot of couples sit outside at a park in the data", "a lot of couples sit outside at a park in the data", "a lot of couples sit outside at a park in the daytona" ]	a lot of couples sit outside at a park in the daytime	a lot of couples sit outside at a park in the daytime.	a lot of couples sit outside at a park in the day time. a lot of couples sit outside at a park in the data. a lot of couples sit outside at a park in the data. a lot of couples sit outside at a park in the daytona.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a lot of couples sit outside at a park in the daytime', 'a lot of couples sit outside at a park in the day time', 'a lot of couples sit outside at a park in the data', 'a lot of couples sit outside at a park in the data', 'a lot of couples sit outside at a park in the daytona']
[ "handrail station would be on a large rail with single with one platform", "handrail station would be on a large rail with single with one platform", "handrail station would be on a large rail with single width one platform", "handrail station would be on a large rail with single loop with one platform", "handrail station would be on a large railing single with one platform" ]	herne hill station would be on a large reversing loop with one platform	handrail station would be on a large rail with single with one platform.	handrail station would be on a large rail with single with one platform. handrail station would be on a large rail with single width one platform. handrail station would be on a large rail with single loop with one platform. handrail station would be on a large railing single with one platform.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['handrail station would be on a large rail with single with one platform', 'handrail station would be on a large rail with single with one platform', 'handrail station would be on a large rail with single width one platform', 'handrail station would be on a large rail with single loop with one platform', 'handrail station would be on a large railing single with one platform']
[ "under international funding the temple has undergone many changes both structurally and internally", "under international funding the temple has undergone many changes both structurally and internally", "under international funding the temple has undergone many changes both structurally and thoroughly", "under international funding the temple has undergone many changes both structurally and thoroughly", "under international funding the temple has undergone many changes both structurally and internally" ]	under international funding the temple has undergone many changes both structurally and internally	under international funding the temple has undergone many changes both structurally and internally.	under international funding the temple has undergone many changes both structurally and internally. under international funding the temple has undergone many changes both structurally and thoroughly. under international funding the temple has undergone many changes both structurally and thoroughly. under international funding the temple has undergone many changes both structurally and internally.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['under international funding the temple has undergone many changes both structurally and internally', 'under international funding the temple has undergone many changes both structurally and internally', 'under international funding the temple has undergone many changes both structurally and thoroughly', 'under international funding the temple has undergone many changes both structurally and thoroughly', 'under international funding the temple has undergone many changes both structurally and internally']
[ "it mood is done broadway destroying several buildings", "it mood is down broadway destroying several buildings", "its mood is down broadway destroying several buildings", "it mood is done broadway destroying several buildings", "it mood is done broadway destroying several buildings" ]	it moved east down broadway destroying several buildings	it mood is done broadway destroying several buildings.	it mood is down broadway destroying several buildings. its mood is down broadway destroying several buildings. it mood is done broadway destroying several buildings. it mood is done broadway destroying several buildings.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it mood is done broadway destroying several buildings', 'it mood is down broadway destroying several buildings', 'its mood is down broadway destroying several buildings', 'it mood is done broadway destroying several buildings', 'it mood is done broadway destroying several buildings']
[ "shellshort is unstable it may change the relative order of elements with equal values", "shellshort is unstable it may change the relative order of elements with equal values", "shellshot is unstable it may change the relative order of elements with equal values", "shellshot is unstable it may change the relative order of elements with equal values", "shell short is unstable it may change the relative order of elements with equal values" ]	shellsort is unstable it may change the relative order of elements with equal values	shellshort is unstable it may change the relative order of elements with equal values.	shellshort is unstable it may change the relative order of elements with equal values. shellshot is unstable it may change the relative order of elements with equal values. shellshot is unstable it may change the relative order of elements with equal values. shell short is unstable it may change the relative order of elements with equal values.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shellshort is unstable it may change the relative order of elements with equal values', 'shellshort is unstable it may change the relative order of elements with equal values', 'shellshot is unstable it may change the relative order of elements with equal values', 'shellshot is unstable it may change the relative order of elements with equal values', 'shell short is unstable it may change the relative order of elements with equal values']
[ "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many of the educational institutions" ]	it is also the home of neijiang normal college and many other educational institutions	it is also the home of major normal college and many other educational institutions.	it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many of the educational institutions.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many of the educational institutions']
[ "it takes two talent", "it takes two talent", "it takes two talent", "it takes two talents", "it takes two talents" ]	it takes true talent	it takes two talent.	it takes two talent. it takes two talent. it takes two talents. it takes two talents.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it takes two talent', 'it takes two talent', 'it takes two talent', 'it takes two talents', 'it takes two talents']
[ "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks" ]	this includes self protection standoff and escort jamming and antiradiation attacks	this includes self protection standoff and escort shaming and anti radiation attacks.	this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks']
[ "a case is never solved", "her case is never solved", "okay so it is never solved", "okay so it is never solved", "a case is never solved" ]	her case was never solved	a case is never solved.	her case is never solved. okay so it is never solved. okay so it is never solved. a case is never solved.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a case is never solved', 'her case is never solved', 'okay so it is never solved', 'okay so it is never solved', 'a case is never solved']
[ "these individual scores are then added up to give the turtle school", "these individual scores are then added up to give the turtle score", "these individual scores are then added up to give the third score", "these individual scores are then added up to give their turtle score", "these individual scores are then added up to give the turtle skull" ]	these individual scores are then added up to give the total score	these individual scores are then added up to give the turtle school.	these individual scores are then added up to give the turtle score. these individual scores are then added up to give the third score. these individual scores are then added up to give their turtle score. these individual scores are then added up to give the turtle skull.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these individual scores are then added up to give the turtle school', 'these individual scores are then added up to give the turtle score', 'these individual scores are then added up to give the third score', 'these individual scores are then added up to give their turtle score', 'these individual scores are then added up to give the turtle skull']
[ "they can be easily pruned", "they can be easily pruned", "they can be easily pruned", "they can be easily pruned", "they can be easily pruned" ]	they can be easily pruned	they can be easily pruned.	they can be easily pruned. they can be easily pruned. they can be easily pruned. they can be easily pruned.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned']
[ "currently as biosynthesis and biological roles in animals is fully known", "currently as biosynthesis and biological roles in animals is fully known", "cartley is biosynthesis and biological roles in animals is fully known", "carly is biosynthesis and biological roles in animals is fully known", "currently his biosynthesis and biological roles in animals is fully known" ]	currently its biosynthesis and biological role in animals is poorly known	currently as biosynthesis and biological roles in animals is fully known.	currently as biosynthesis and biological roles in animals is fully known. cartley is biosynthesis and biological roles in animals is fully known. carly is biosynthesis and biological roles in animals is fully known. currently his biosynthesis and biological roles in animals is fully known.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['currently as biosynthesis and biological roles in animals is fully known', 'currently as biosynthesis and biological roles in animals is fully known', 'cartley is biosynthesis and biological roles in animals is fully known', 'carly is biosynthesis and biological roles in animals is fully known', 'currently his biosynthesis and biological roles in animals is fully known']
[ "then all neighborhoods of the region catan circles are not nula homotopic", "then all neighborhoods of the region catan circles are not nila homotopic", "then all neighborhoods are the origin catane circles are not nula homotopic", "then all neighborhoods of the region can turn circles are not nula homotopic", "then all neighborhoods of the region can turn circles are not nila homotopic" ]	then all neighborhoods of the origin contain circles that are not nullhomotopic	then all neighborhoods of the region catan circles are not nula homotopic.	then all neighborhoods of the region catan circles are not nila homotopic. then all neighborhoods are the origin catane circles are not nula homotopic. then all neighborhoods of the region can turn circles are not nula homotopic. then all neighborhoods of the region can turn circles are not nila homotopic.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then all neighborhoods of the region catan circles are not nula homotopic', 'then all neighborhoods of the region catan circles are not nila homotopic', 'then all neighborhoods are the origin catane circles are not nula homotopic', 'then all neighborhoods of the region can turn circles are not nula homotopic', 'then all neighborhoods of the region can turn circles are not nila homotopic']
[ "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "carl often playing tough tomboy parts" ]	corral often playing tough tomboy parts	coral often playing tough tomboy parts.	coral often playing tough tomboy parts. coral often playing tough tomboy parts. coral often playing tough tomboy parts. carl often playing tough tomboy parts.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'carl often playing tough tomboy parts']
[ "should not you be at work", "should not you be at work", "should not you be at work", "should not you be at work", "should not you be at work" ]	should not you be at work	should not you be at work.	should not you be at work. should not you be at work. should not you be at work. should not you be at work.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['should not you be at work', 'should not you be at work', 'should not you be at work', 'should not you be at work', 'should not you be at work']
[ "new learning programs and a dedicated website were developed alongside the physical changes", "new learning programs and a dedicated website will develop the long side of physical changes", "new learning programs and a dedicated website were developed alongside the physical changes", "new learning programs and a dedicated website will develop the long side of physical changes", "new learning programs and a dedicated website were developed alongside the physical changes" ]	new learning programs and a dedicated website were developed alongside the physical changes	new learning programs and a dedicated website were developed alongside the physical changes.	new learning programs and a dedicated website will develop the long side of physical changes. new learning programs and a dedicated website were developed alongside the physical changes. new learning programs and a dedicated website will develop the long side of physical changes. new learning programs and a dedicated website were developed alongside the physical changes.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['new learning programs and a dedicated website were developed alongside the physical changes', 'new learning programs and a dedicated website will develop the long side of physical changes', 'new learning programs and a dedicated website were developed alongside the physical changes', 'new learning programs and a dedicated website will develop the long side of physical changes', 'new learning programs and a dedicated website were developed alongside the physical changes']
[ "some album art makers controversy because of nudity offending churches trademark or others", "some album art makers controversy because of nudity offending treasures trademark or others", "some album art makers controversy because of nudity offending churches trademark or others", "some album art makers controversy because of nudity offending treasures trademark or others", "some album art makers controversy because of nudity of ending churches trademark or others" ]	some album art may cause controversy because of nudity offending churches trademark or others	some album art makers controversy because of nudity offending churches trademark or others.	some album art makers controversy because of nudity offending treasures trademark or others. some album art makers controversy because of nudity offending churches trademark or others. some album art makers controversy because of nudity offending treasures trademark or others. some album art makers controversy because of nudity of ending churches trademark or others.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some album art makers controversy because of nudity offending churches trademark or others', 'some album art makers controversy because of nudity offending treasures trademark or others', 'some album art makers controversy because of nudity offending churches trademark or others', 'some album art makers controversy because of nudity offending treasures trademark or others', 'some album art makers controversy because of nudity of ending churches trademark or others']
[ "linear referencing is one of the family and methods of expressing the location", "linear referencing is one of the family and methods of expressing location", "linear referencing is one of a family and methods of expressing the location", "linear referencing is one of the family members of expressing the location", "linear referencing is one of the family and methods of expressing the location" ]	linear referencing is one of a family of methods of expressing location	linear referencing is one of the family and methods of expressing the location.	linear referencing is one of the family and methods of expressing location. linear referencing is one of a family and methods of expressing the location. linear referencing is one of the family members of expressing the location. linear referencing is one of the family and methods of expressing the location.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['linear referencing is one of the family and methods of expressing the location', 'linear referencing is one of the family and methods of expressing location', 'linear referencing is one of a family and methods of expressing the location', 'linear referencing is one of the family members of expressing the location', 'linear referencing is one of the family and methods of expressing the location']
[ "william tuttle received an honorary oscar for his makeup work on this film", "william tuttle received an honorary oscar for his make up work on this film", "william tuttle received an honorary oscar for his make up work on this film", "william tuttle received an honorary oscar for his makeup work on this film", "william tuddle received an honorary oscar for his makeup work on this film" ]	william tuttle received an honorary oscar for his makeup work on this film	william tuttle received an honorary oscar for his makeup work on this film.	william tuttle received an honorary oscar for his make up work on this film. william tuttle received an honorary oscar for his make up work on this film. william tuttle received an honorary oscar for his makeup work on this film. william tuddle received an honorary oscar for his makeup work on this film.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['william tuttle received an honorary oscar for his makeup work on this film', 'william tuttle received an honorary oscar for his make up work on this film', 'william tuttle received an honorary oscar for his make up work on this film', 'william tuttle received an honorary oscar for his makeup work on this film', 'william tuddle received an honorary oscar for his makeup work on this film']
[ "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children" ]	he was the eldest of five brothers and was one of nine children	he was the eldest of five brothers and was one of nine children.	he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children']
[ "he was much more interested in the middle east than the far east", "he was much more interested in the middle east and the far east", "he was much more interested in the middle east than the fire east", "he was much more interested in the middle east and the fire east", "he was much more interested in the middle east than the far east" ]	he was much more interested in the middle east than in the far east	he was much more interested in the middle east than the far east.	he was much more interested in the middle east and the far east. he was much more interested in the middle east than the fire east. he was much more interested in the middle east and the fire east. he was much more interested in the middle east than the far east.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was much more interested in the middle east than the far east', 'he was much more interested in the middle east and the far east', 'he was much more interested in the middle east than the fire east', 'he was much more interested in the middle east and the fire east', 'he was much more interested in the middle east than the far east']
[ "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term" ]	the mayor is elected to a two year term	the mayor is elected to a two year term.	the mayor is elected to a two year term. the mayor is elected to a two year term. the mayor is elected to a two year term. the mayor is elected to a two year term.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term']
[ "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratory", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratory" ]	academic space in the building includes three classrooms and physiology computer and kinesiology laboratories	academic space in the building includes three classrooms and physiology computer and kinesiology laboratories.	academic space in the building includes three classrooms and physiology computer and kinesiology laboratories. academic space in the building includes three classrooms and physiology computer and kinesiology laboratory. academic space in the building includes three classrooms and physiology computer and kinesiology laboratories. academic space in the building includes three classrooms and physiology computer and kinesiology laboratory.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratory', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratory']
[ "low ranking nobleman was thus able to gain a higher status by either service", "low ranking nobleman was thus able to gain a higher status by either service", "low ranking nobleman was thus able to gain a higher status by header service", "low ranking nobleman was thus able to gain a higher status by header service", "low ranking nobleman was thus able to gain a higher status by either service" ]	lower ranking noblemen were thus able to gain a higher status by military service	low ranking nobleman was thus able to gain a higher status by either service.	low ranking nobleman was thus able to gain a higher status by either service. low ranking nobleman was thus able to gain a higher status by header service. low ranking nobleman was thus able to gain a higher status by header service. low ranking nobleman was thus able to gain a higher status by either service.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['low ranking nobleman was thus able to gain a higher status by either service', 'low ranking nobleman was thus able to gain a higher status by either service', 'low ranking nobleman was thus able to gain a higher status by header service', 'low ranking nobleman was thus able to gain a higher status by header service', 'low ranking nobleman was thus able to gain a higher status by either service']
[ "rin chan became ambitious", "rin chan became ambitious", "rincha became ambitious", "rinchan became ambitious", "rin chan became ambitious" ]	rinchan became ambitious	rin chan became ambitious.	rin chan became ambitious. rincha became ambitious. rinchan became ambitious. rin chan became ambitious.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rin chan became ambitious', 'rin chan became ambitious', 'rincha became ambitious', 'rinchan became ambitious', 'rin chan became ambitious']
[ "two little boys walk towards a bike in front of a yellow wall", "to the little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall" ]	two little boys walk towards a bike in front of a yellow wall	two little boys walk towards a bike in front of a yellow wall.	to the little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two little boys walk towards a bike in front of a yellow wall', 'to the little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall']
[ "the men junk was placed in solitary confinement during the appeals process", "the men junk was placed in solitary confinement during their appeals process", "the man junk was placed in solitary confinement during the appeals process", "the manjunk was placed in solitary confinement during the appeals process", "the men junk was placed in solitary confinement during the appeals process" ]	demjanjuk was placed in solitary confinement during the appeals process	the men junk was placed in solitary confinement during the appeals process.	the men junk was placed in solitary confinement during their appeals process. the man junk was placed in solitary confinement during the appeals process. the manjunk was placed in solitary confinement during the appeals process. the men junk was placed in solitary confinement during the appeals process.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the men junk was placed in solitary confinement during the appeals process', 'the men junk was placed in solitary confinement during their appeals process', 'the man junk was placed in solitary confinement during the appeals process', 'the manjunk was placed in solitary confinement during the appeals process', 'the men junk was placed in solitary confinement during the appeals process']
[ "they all do look all love all fondness all affection", "they all dear look all love all fondness all affection", "they all deal look all love all fondness all affection", "the old dear look all love all fondness all affection", "they all dear look all love all fondness all affection" ]	the old dear look all love all fondness all affection	they all do look all love all fondness all affection.	they all dear look all love all fondness all affection. they all deal look all love all fondness all affection. the old dear look all love all fondness all affection. they all dear look all love all fondness all affection.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they all do look all love all fondness all affection', 'they all dear look all love all fondness all affection', 'they all deal look all love all fondness all affection', 'the old dear look all love all fondness all affection', 'they all dear look all love all fondness all affection']
[ "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space" ]	oldman had previously worked with leblanc on lost in space	old man has previously worked with leblanc on lost in space.	old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space']
[ "each economy relies mainly on fishing and logging", "it is economy relies mainly on fishing and logging", "its economy relies mainly on fishing and logging", "its economy relies mainly on fishing and logging", "it is economy relies mainly on fishing and logging" ]	its economy relies mainly on fishing and logging	each economy relies mainly on fishing and logging.	it is economy relies mainly on fishing and logging. its economy relies mainly on fishing and logging. its economy relies mainly on fishing and logging. it is economy relies mainly on fishing and logging.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each economy relies mainly on fishing and logging', 'it is economy relies mainly on fishing and logging', 'its economy relies mainly on fishing and logging', 'its economy relies mainly on fishing and logging', 'it is economy relies mainly on fishing and logging']
[ "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world" ]	he utilized this boat to sail to many parts of the world	he utilized this boat to sail to many parts of the world.	he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world']
[ "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare" ]	it is also seen in children but this is rare	it is also seen in children but this is rare.	it is also seen in children but this is rare. it is also seen in children but this is rare. it is also seen in children but this is rare. it is also seen in children but this is rare.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare']
[ "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically" ]	it can also be prepared synthetically	it can also be prepared synthetically.	it can also be prepared synthetically. it can also be prepared synthetically. it can also be prepared synthetically. it can also be prepared synthetically.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically']
[ "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all" ]	instead you will be shot in the morning that is all	instead you will be shot in the morning that is all.	instead you will be shot in the morning that is all. instead you will be shot in the morning that is all. instead you will be shot in the morning that is all. instead you will be shot in the morning that is all.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all']
[ "a boy and a girl holding hands were sitting on the show", "a boy and a girl holding hands were sitting on a show", "a boy and a girl holding hands was sitting on the show", "a boy and a girl holding hands was sitting on a show", "a boy and a girl holding hands were sitting on the show" ]	a boy and a girl holding hands while sitting on a shore	a boy and a girl holding hands were sitting on the show.	a boy and a girl holding hands were sitting on a show. a boy and a girl holding hands was sitting on the show. a boy and a girl holding hands was sitting on a show. a boy and a girl holding hands were sitting on the show.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a boy and a girl holding hands were sitting on the show', 'a boy and a girl holding hands were sitting on a show', 'a boy and a girl holding hands was sitting on the show', 'a boy and a girl holding hands was sitting on a show', 'a boy and a girl holding hands were sitting on the show']
[ "he attended saint thomas school full ham and saint teresa is modern", "he attended saint thomas coup full ham and saint teresa is modern", "he attended saint thomas school for ham and saint teresa is modern", "he attended saint thomas school for harm and saint teresa is modern", "he attended saint thomas school for hum and saint teresa is modern" ]	he attended saint thomas is school fulham and saint teresa is morden	he attended saint thomas school full ham and saint teresa is modern.	he attended saint thomas coup full ham and saint teresa is modern. he attended saint thomas school for ham and saint teresa is modern. he attended saint thomas school for harm and saint teresa is modern. he attended saint thomas school for hum and saint teresa is modern.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he attended saint thomas school full ham and saint teresa is modern', 'he attended saint thomas coup full ham and saint teresa is modern', 'he attended saint thomas school for ham and saint teresa is modern', 'he attended saint thomas school for harm and saint teresa is modern', 'he attended saint thomas school for hum and saint teresa is modern']
[ "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits" ]	butler service is provided in higher level accommodations such as penthouse suites	butler service is provided in higher level accommodations such as penthouse suits.	butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits']
[ "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word schiener meaning to shine" ]	the name comes from the old norse word skinr meaning to shine	the name comes from the old norse word skinner meaning to shine.	the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word schiener meaning to shine.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word schiener meaning to shine']
[ "there may exist multiple cages for a given girth", "there may exist multiple cages for a given growth", "there may exist multiple cages for a given birth", "there may exist multiple cages for a given girth", "there may exist multiple cages for a given growth" ]	there may exist multiple cages for a given girth	there may exist multiple cages for a given girth.	there may exist multiple cages for a given growth. there may exist multiple cages for a given birth. there may exist multiple cages for a given girth. there may exist multiple cages for a given growth.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there may exist multiple cages for a given girth', 'there may exist multiple cages for a given growth', 'there may exist multiple cages for a given birth', 'there may exist multiple cages for a given girth', 'there may exist multiple cages for a given growth']
[ "the town after a plebiscite changed its name and its sister in law duro ma", "the town after a plebiscite changed its name and the sister in law duro ma", "the town after a plebiscite changed its name into sister in law duro ma", "the town after a plebiscite changed its name into sister in l durama", "the town after a plebiscite changed its name from the sister in law duro ma" ]	the town after a plebiscite changed its name into cisterna di roma	the town after a plebiscite changed its name and its sister in law duro ma.	the town after a plebiscite changed its name and the sister in law duro ma. the town after a plebiscite changed its name into sister in law duro ma. the town after a plebiscite changed its name into sister in l durama. the town after a plebiscite changed its name from the sister in law duro ma.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town after a plebiscite changed its name and its sister in law duro ma', 'the town after a plebiscite changed its name and the sister in law duro ma', 'the town after a plebiscite changed its name into sister in law duro ma', 'the town after a plebiscite changed its name into sister in l durama', 'the town after a plebiscite changed its name from the sister in law duro ma']
[ "badminton house also gives its name to the sport of badminton", "badminton house also gives its name to the sport of badminton", "badminton house also gives it is name to the sport of badminton", "badminton house also gives its name to the sport of badminton", "badminton house also gives its name to the sport of badminton" ]	badminton house also gives its name to the sport of badminton	badminton house also gives its name to the sport of badminton.	badminton house also gives its name to the sport of badminton. badminton house also gives it is name to the sport of badminton. badminton house also gives its name to the sport of badminton. badminton house also gives its name to the sport of badminton.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['badminton house also gives its name to the sport of badminton', 'badminton house also gives its name to the sport of badminton', 'badminton house also gives it is name to the sport of badminton', 'badminton house also gives its name to the sport of badminton', 'badminton house also gives its name to the sport of badminton']
[ "the limbs contain correctly used archived glenwage", "the limbs contain correctly used archaic language", "the limbs contain correctly used archived language", "the limbs contain correctly used archived language", "the limbs contain correctly used archaic language" ]	the laws contain correctly used archaic language	the limbs contain correctly used archived glenwage.	the limbs contain correctly used archaic language. the limbs contain correctly used archived language. the limbs contain correctly used archived language. the limbs contain correctly used archaic language.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the limbs contain correctly used archived glenwage', 'the limbs contain correctly used archaic language', 'the limbs contain correctly used archived language', 'the limbs contain correctly used archived language', 'the limbs contain correctly used archaic language']
[ "it is now divided into apartments", "it is now divided into apartments", "it is now divided into the apartments", "and it is now divided into apartments", "it is now divided into apartments" ]	it is now divided into apartments	it is now divided into apartments.	it is now divided into apartments. it is now divided into the apartments. and it is now divided into apartments. it is now divided into apartments.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is now divided into apartments', 'it is now divided into apartments', 'it is now divided into the apartments', 'and it is now divided into apartments', 'it is now divided into apartments']
[ "it is directly related to the notion of algorithm accuracy robustness and reliability", "it is directly related to the notion of algorithm accuracy robustness and reliability", "it is directly related to the notion of algorithm accuracy robusness anglaeability", "it is directly related to the notion of algorithm accuracy robusness angliability", "it is directly related to the notion of algorithm accuracy robusness anglais ability" ]	it is directly related to the notion of algorithm accuracy robustness and reliability	it is directly related to the notion of algorithm accuracy robustness and reliability.	it is directly related to the notion of algorithm accuracy robustness and reliability. it is directly related to the notion of algorithm accuracy robusness anglaeability. it is directly related to the notion of algorithm accuracy robusness angliability. it is directly related to the notion of algorithm accuracy robusness anglais ability.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is directly related to the notion of algorithm accuracy robustness and reliability', 'it is directly related to the notion of algorithm accuracy robustness and reliability', 'it is directly related to the notion of algorithm accuracy robusness anglaeability', 'it is directly related to the notion of algorithm accuracy robusness angliability', 'it is directly related to the notion of algorithm accuracy robusness anglais ability']
[ "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten and croft the sixth grade" ]	gilmore city has an elementary school with grade levels prep kindergarten through the sixth grade	the remote city has an elementary school with great levels with kindergarten croft the sixth grade.	the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten and croft the sixth grade.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten and croft the sixth grade']
[ "he had expanded it himself and had it decorated with caesar one everdingen", "he had expanded it himself and had it decorated with caesar one everdingen", "he had expanded himself and had it degraded with caesar i everdingen", "he had expanded himself and had it degraded with caesar one everdingen", "he had expanded it himself and had it degraded with caesar i everdingen" ]	he had expanded it himself and had it decorated by caesar van everdingen	he had expanded it himself and had it decorated with caesar one everdingen.	he had expanded it himself and had it decorated with caesar one everdingen. he had expanded himself and had it degraded with caesar i everdingen. he had expanded himself and had it degraded with caesar one everdingen. he had expanded it himself and had it degraded with caesar i everdingen.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had expanded it himself and had it decorated with caesar one everdingen', 'he had expanded it himself and had it decorated with caesar one everdingen', 'he had expanded himself and had it degraded with caesar i everdingen', 'he had expanded himself and had it degraded with caesar one everdingen', 'he had expanded it himself and had it degraded with caesar i everdingen']
[ "the most high profile of regia anglaurum is activities is the whitehurst project", "the most high profile of regia and glorum is activities is the whitehurst project", "the most high profile of regia anglorum is activities is the whitehurst project", "the most high profile of regia anglaurum is activities is the whitehurst project", "the most high profile of regia englorum is activities is the whitehurst project" ]	the most high profile of regia anglorum is activities is the wychurst project	the most high profile of regia anglaurum is activities is the whitehurst project.	the most high profile of regia and glorum is activities is the whitehurst project. the most high profile of regia anglorum is activities is the whitehurst project. the most high profile of regia anglaurum is activities is the whitehurst project. the most high profile of regia englorum is activities is the whitehurst project.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the most high profile of regia anglaurum is activities is the whitehurst project', 'the most high profile of regia and glorum is activities is the whitehurst project', 'the most high profile of regia anglorum is activities is the whitehurst project', 'the most high profile of regia anglaurum is activities is the whitehurst project', 'the most high profile of regia englorum is activities is the whitehurst project']
[ "the couple have two daughters and the family using country", "the couple have two daughters and the family using her country", "the couple have two daughters and the family using country", "the couple have two daughters and the family using the country", "the couple have two daughters and the family using a country" ]	the couple have two daughters and the family lives in coventry	the couple have two daughters and the family using country.	the couple have two daughters and the family using her country. the couple have two daughters and the family using country. the couple have two daughters and the family using the country. the couple have two daughters and the family using a country.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the couple have two daughters and the family using country', 'the couple have two daughters and the family using her country', 'the couple have two daughters and the family using country', 'the couple have two daughters and the family using the country', 'the couple have two daughters and the family using a country']
[ "march cautions homer but gets enticed by snakes three card monte game", "march cautions homer but gets enticed by snakes three card monte game", "marge cautions homer but gets enticed by snakes three card monte game", "march cautions homer but gets enticed by snake is three card monte game", "march cautions homer but gets enticed by snakes three card monte game" ]	marge cautions homer but gets enticed by snake is three card monte game	march cautions homer but gets enticed by snakes three card monte game.	march cautions homer but gets enticed by snakes three card monte game. marge cautions homer but gets enticed by snakes three card monte game. march cautions homer but gets enticed by snake is three card monte game. march cautions homer but gets enticed by snakes three card monte game.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['march cautions homer but gets enticed by snakes three card monte game', 'march cautions homer but gets enticed by snakes three card monte game', 'marge cautions homer but gets enticed by snakes three card monte game', 'march cautions homer but gets enticed by snake is three card monte game', 'march cautions homer but gets enticed by snakes three card monte game']
[ "it was known in arabic sources as no lambda", "it was known in arabic sources as no lanta", "it was known in arabic sources as no lanto", "it was known in arabic sources as no lamta", "it was known in arabic sources as nolamta" ]	it was known in arabic sources as noul lamta	it was known in arabic sources as no lambda.	it was known in arabic sources as no lanta. it was known in arabic sources as no lanto. it was known in arabic sources as no lamta. it was known in arabic sources as nolamta.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was known in arabic sources as no lambda', 'it was known in arabic sources as no lanta', 'it was known in arabic sources as no lanto', 'it was known in arabic sources as no lamta', 'it was known in arabic sources as nolamta']
[ "smith subsequently failed to make payments on the farm", "smith is subsequently failed to make payments on the farm", "smith subsequently failed to make payments on farm", "smith is subsequently failed to make payments on farm", "smith subsequently failed to make payments on the farm" ]	smith subsequently failed to make payments on the farm	smith subsequently failed to make payments on the farm.	smith is subsequently failed to make payments on the farm. smith subsequently failed to make payments on farm. smith is subsequently failed to make payments on farm. smith subsequently failed to make payments on the farm.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['smith subsequently failed to make payments on the farm', 'smith is subsequently failed to make payments on the farm', 'smith subsequently failed to make payments on farm', 'smith is subsequently failed to make payments on farm', 'smith subsequently failed to make payments on the farm']
[ "there are several other permanent variable styles in suffice", "there are several of the permanent variable styles in suffice", "there are several other permanent variable styles in sephius", "there are several other permanent variable styles in sephyus", "there are several of the permanent variable styles in sephius" ]	there are several other prominent variable stars in cepheus	there are several other permanent variable styles in suffice.	there are several of the permanent variable styles in suffice. there are several other permanent variable styles in sephius. there are several other permanent variable styles in sephyus. there are several of the permanent variable styles in sephius.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are several other permanent variable styles in suffice', 'there are several of the permanent variable styles in suffice', 'there are several other permanent variable styles in sephius', 'there are several other permanent variable styles in sephyus', 'there are several of the permanent variable styles in sephius']
[ "the company was founded by frederick chudah", "the company was founded by frederick tudor", "the company was founded by friedrich tudor", "the company was founded by frederick chuda", "the company was founded by frederick chewda" ]	the company was founded by frederic tudor	the company was founded by frederick chudah.	the company was founded by frederick tudor. the company was founded by friedrich tudor. the company was founded by frederick chuda. the company was founded by frederick chewda.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company was founded by frederick chudah', 'the company was founded by frederick tudor', 'the company was founded by friedrich tudor', 'the company was founded by frederick chuda', 'the company was founded by frederick chewda']
[ "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club" ]	during that same time many comedians also appeared at the club	during that same time many comedians also appeared at the club.	during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club']
[ "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran" ]	his mother was persian and he had strong support in iran	his mother was persian and he had strong support in iran.	his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran']
[ "the back feet are sindactyl which helps it to climb", "the back feet are sin tactile which helps it to climb", "the back feet are seen tactile which helps it to climb", "the back feet are sin tactile which helps it to climb", "the back feet are syntactyl which helps it to climb" ]	the back feet are syndactyl which helps it to climb	the back feet are sindactyl which helps it to climb.	the back feet are sin tactile which helps it to climb. the back feet are seen tactile which helps it to climb. the back feet are sin tactile which helps it to climb. the back feet are syntactyl which helps it to climb.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the back feet are sindactyl which helps it to climb', 'the back feet are sin tactile which helps it to climb', 'the back feet are seen tactile which helps it to climb', 'the back feet are sin tactile which helps it to climb', 'the back feet are syntactyl which helps it to climb']
[ "the house interview appropriate subcommittee was not convinced and the plan went along unchanged", "the house interview appropriate subcommittee was not convinced and plan went along unchanged", "the house interview appropriate subcommittee was not convened and the plan went along unchanged", "the house interview appropriate subcommittee was not convened and plan went along unchanged", "the house interior appropriate subcommittee was not convinced and the plan went along unchanged" ]	the house interior appropriates subcommittee was not convinced and the plan went along unchanged	the house interview appropriate subcommittee was not convinced and the plan went along unchanged.	the house interview appropriate subcommittee was not convinced and plan went along unchanged. the house interview appropriate subcommittee was not convened and the plan went along unchanged. the house interview appropriate subcommittee was not convened and plan went along unchanged. the house interior appropriate subcommittee was not convinced and the plan went along unchanged.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the house interview appropriate subcommittee was not convinced and the plan went along unchanged', 'the house interview appropriate subcommittee was not convinced and plan went along unchanged', 'the house interview appropriate subcommittee was not convened and the plan went along unchanged', 'the house interview appropriate subcommittee was not convened and plan went along unchanged', 'the house interior appropriate subcommittee was not convinced and the plan went along unchanged']
[ "she is buried at highgate cemetery", "she is buried at hygate cemetery", "she is married at highgate cemetery", "she is buried at hygote cemetery", "she is buried at highgate cemetery" ]	she is buried at highgate cemetery	she is buried at highgate cemetery.	she is buried at hygate cemetery. she is married at highgate cemetery. she is buried at hygote cemetery. she is buried at highgate cemetery.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is buried at highgate cemetery', 'she is buried at hygate cemetery', 'she is married at highgate cemetery', 'she is buried at hygote cemetery', 'she is buried at highgate cemetery']
[ "there is one parish george saint peter is", "there is one parish church saint peter is", "there is one parish church saint peter is", "there is one paris george saint peter is", "there is one parish george saint peter is" ]	there is one parish church saint peter is	there is one parish george saint peter is.	there is one parish church saint peter is. there is one parish church saint peter is. there is one paris george saint peter is. there is one parish george saint peter is.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is one parish george saint peter is', 'there is one parish church saint peter is', 'there is one parish church saint peter is', 'there is one paris george saint peter is', 'there is one parish george saint peter is']
[ "the parachute clatworthy was part of the wilaton and freyman is one hundred", "the parachute clat worthy was part of the wilaton and freyman is one hundred", "the parachute clackworthy was part of the wilaton and freyman is one hundred", "the parorship clat worthy was part of the willeton and freyman is hundred", "the parorship clat worthy was part of the willeton and freyman is one hundred" ]	the parish of clatworthy was part of the williton and freemanners hundred	the parachute clatworthy was part of the wilaton and freyman is one hundred.	the parachute clat worthy was part of the wilaton and freyman is one hundred. the parachute clackworthy was part of the wilaton and freyman is one hundred. the parorship clat worthy was part of the willeton and freyman is hundred. the parorship clat worthy was part of the willeton and freyman is one hundred.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the parachute clatworthy was part of the wilaton and freyman is one hundred', 'the parachute clat worthy was part of the wilaton and freyman is one hundred', 'the parachute clackworthy was part of the wilaton and freyman is one hundred', 'the parorship clat worthy was part of the willeton and freyman is hundred', 'the parorship clat worthy was part of the willeton and freyman is one hundred']
[ "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fifth projective proof", "they also mention but do not describe the details of fiveth projective proof" ]	they also mention but do not describe the details of a fifth bijective proof	they also mentioned but do not describe the details of fiveth projective proof.	they also mentioned but do not describe the details of fiveth projective proof. they also mentioned but do not describe the details of fiveth projective proof. they also mentioned but do not describe the details of fifth projective proof. they also mention but do not describe the details of fiveth projective proof.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fifth projective proof', 'they also mention but do not describe the details of fiveth projective proof']
[ "rick immediately became a regular on the left wing replacing joel janskron", "rick immediately became a regular on the left wing replacing joel jamstron", "ricks immediately became a regular on the left wing replacing joel janskron", "rick immediately became a regular on the left wing replacing joel jamstrong", "rick immediately became a regular on the left wing with placing joel janskron" ]	rix immediately became a regular on the left wing replacing george armstrong	rick immediately became a regular on the left wing replacing joel janskron.	rick immediately became a regular on the left wing replacing joel jamstron. ricks immediately became a regular on the left wing replacing joel janskron. rick immediately became a regular on the left wing replacing joel jamstrong. rick immediately became a regular on the left wing with placing joel janskron.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rick immediately became a regular on the left wing replacing joel janskron', 'rick immediately became a regular on the left wing replacing joel jamstron', 'ricks immediately became a regular on the left wing replacing joel janskron', 'rick immediately became a regular on the left wing replacing joel jamstrong', 'rick immediately became a regular on the left wing with placing joel janskron']
[ "the thing cheach and chong are great with is voices", "the thing chichun chong are great with is voices", "the thing chichen chong are great with is voices", "the thing cheach and chong are great with is voices", "the thing qi chen chong are great with is voices" ]	the thing cheech and chong are great with is voices	the thing cheach and chong are great with is voices.	the thing chichun chong are great with is voices. the thing chichen chong are great with is voices. the thing cheach and chong are great with is voices. the thing qi chen chong are great with is voices.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the thing cheach and chong are great with is voices', 'the thing chichun chong are great with is voices', 'the thing chichen chong are great with is voices', 'the thing cheach and chong are great with is voices', 'the thing qi chen chong are great with is voices']
[ "a bibliography of monday is published books was included by alice in his biography", "a bibliography of mondays published books was included by alice in his biography", "a bibliography of monday is published books was included by ellis in his biography", "a bibliography of mondays published books was included by ellis in his biography", "a bibliography of monde is published books was included by alice in his biography" ]	a bibliography of mundy is published books was included by ellis in his biography	a bibliography of monday is published books was included by alice in his biography.	a bibliography of mondays published books was included by alice in his biography. a bibliography of monday is published books was included by ellis in his biography. a bibliography of mondays published books was included by ellis in his biography. a bibliography of monde is published books was included by alice in his biography.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a bibliography of monday is published books was included by alice in his biography', 'a bibliography of mondays published books was included by alice in his biography', 'a bibliography of monday is published books was included by ellis in his biography', 'a bibliography of mondays published books was included by ellis in his biography', 'a bibliography of monde is published books was included by alice in his biography']
[ "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members" ]	it is a company limited by guarantee owned and run by its members	it is a company limited by guarantee owned and run by its members.	it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members.	train_cv	null	[]	You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members']

[ "this area is also owned and managed by the national trust", "this area is also earned and managed by the national trust", "this area is also earned and managed by the national trust", "this area is also owned and managed by the national trust", "this area is also earned and managed by the national trust" ]

this area is also owned and managed by the national trust

this area is also owned and managed by the national trust.

this area is also earned and managed by the national trust. this area is also earned and managed by the national trust. this area is also owned and managed by the national trust. this area is also earned and managed by the national trust.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this area is also owned and managed by the national trust', 'this area is also earned and managed by the national trust', 'this area is also earned and managed by the national trust', 'this area is also owned and managed by the national trust', 'this area is also earned and managed by the national trust']

[ "dunmore never returned to virginia", "done more never return to virginia", "dunmoor never returned to virginia", "do not more never return to virginia", "donmore never return to virginia" ]

dunmore never returned to virginia

dunmore never returned to virginia.

done more never return to virginia. dunmoor never returned to virginia. do not more never return to virginia. donmore never return to virginia.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dunmore never returned to virginia', 'done more never return to virginia', 'dunmoor never returned to virginia', 'do not more never return to virginia', 'donmore never return to virginia']

[ "this can be extremely common", "this can be extremely common", "this can be extremely common", "this can be extremely common", "this can be extremely common" ]

these can be extremely common

this can be extremely common.

this can be extremely common. this can be extremely common. this can be extremely common. this can be extremely common.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this can be extremely common', 'this can be extremely common', 'this can be extremely common', 'this can be extremely common', 'this can be extremely common']

[ "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically", "the nominations and votes are collected electronically" ]

the nominations and votes are collected electronically

the nominations and votes are collected electronically.

the nominations and votes are collected electronically. the nominations and votes are collected electronically. the nominations and votes are collected electronically. the nominations and votes are collected electronically.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically', 'the nominations and votes are collected electronically']

[ "a man stands on stills while children wash", "a man stands on still while children wash", "the man stands on stills while children wash", "a man stands on stills while children march", "a man stands on stilts while children wash" ]

a man stands on stilts while children watch

a man stands on stills while children wash.

a man stands on still while children wash. the man stands on stills while children wash. a man stands on stills while children march. a man stands on stilts while children wash.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man stands on stills while children wash', 'a man stands on still while children wash', 'the man stands on stills while children wash', 'a man stands on stills while children march', 'a man stands on stilts while children wash']

[ "should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "what services should be narrowly aligned with that responsibility", "or services should be narrowly aligned with that responsibility" ]

all its services should be narrowly aligned with that responsibility

should be narrowly aligned with that responsibility.

what services should be narrowly aligned with that responsibility. what services should be narrowly aligned with that responsibility. what services should be narrowly aligned with that responsibility. or services should be narrowly aligned with that responsibility.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'what services should be narrowly aligned with that responsibility', 'or services should be narrowly aligned with that responsibility']

[ "eliminium sulfate is rarely if ever encountered at the anhydrous salt", "eliminium sulfate is rarely if ever encountered at the anhydrous salt", "eliminum sulfate is rarely if ever encountered at the anhydrous salt", "aluminum sulfate is rarely if ever encountered at the anhydrous salt", "eliminum sulfate is rarely if ever encountered at the anhydrous salt" ]

aluminum sulfate is rarely if ever encountered as the anhydrous salt

eliminium sulfate is rarely if ever encountered at the anhydrous salt.

eliminium sulfate is rarely if ever encountered at the anhydrous salt. eliminum sulfate is rarely if ever encountered at the anhydrous salt. aluminum sulfate is rarely if ever encountered at the anhydrous salt. eliminum sulfate is rarely if ever encountered at the anhydrous salt.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eliminium sulfate is rarely if ever encountered at the anhydrous salt', 'eliminium sulfate is rarely if ever encountered at the anhydrous salt', 'eliminum sulfate is rarely if ever encountered at the anhydrous salt', 'aluminum sulfate is rarely if ever encountered at the anhydrous salt', 'eliminum sulfate is rarely if ever encountered at the anhydrous salt']

[ "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times", "the cultural boundaries have not been static even during historical times" ]

the cultural boundaries have not been static even during historical times

the cultural boundaries have not been static even during historical times.

the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times. the cultural boundaries have not been static even during historical times.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times', 'the cultural boundaries have not been static even during historical times']

[ "autobuses travel to shala tamanco and san salvador dalyu", "auto buses travel to shala tamanco and san sarvado dalyu", "auto buses travel to shala tamanco and san sarvado dailu", "autobuses travel to shaila tamanco and san salvador dalyu", "autobuses travel to shaila tamanco and san salvador dailu" ]

autobuses travel to chalatenango and san salvador daily

autobuses travel to shala tamanco and san salvador dalyu.

auto buses travel to shala tamanco and san sarvado dalyu. auto buses travel to shala tamanco and san sarvado dailu. autobuses travel to shaila tamanco and san salvador dalyu. autobuses travel to shaila tamanco and san salvador dailu.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['autobuses travel to shala tamanco and san salvador dalyu', 'auto buses travel to shala tamanco and san sarvado dalyu', 'auto buses travel to shala tamanco and san sarvado dailu', 'autobuses travel to shaila tamanco and san salvador dalyu', 'autobuses travel to shaila tamanco and san salvador dailu']

[ "once this rule has been established the rule sweeps", "once this rule has been established the rule sweps", "once this rule has been established the rule swebs", "once this rule has been established the rule swaps", "once this rule has been established the rules webs" ]

once this rule has been established the rule swaps

once this rule has been established the rule sweeps.

once this rule has been established the rule sweps. once this rule has been established the rule swebs. once this rule has been established the rule swaps. once this rule has been established the rules webs.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['once this rule has been established the rule sweeps', 'once this rule has been established the rule sweps', 'once this rule has been established the rule swebs', 'once this rule has been established the rule swaps', 'once this rule has been established the rules webs']

[ "the plots featured characters who were interested in science and mathematics", "the plot featured characters who were interested in science and mathematics", "the plot is featured characters who were interested in science and mathematics", "the plots featured characters who are interested in science and mathematics", "the bloods featured characters who were interested in science and mathematics" ]

the plots featured characters who were interested in science and mathematics

the plots featured characters who were interested in science and mathematics.

the plot featured characters who were interested in science and mathematics. the plot is featured characters who were interested in science and mathematics. the plots featured characters who are interested in science and mathematics. the bloods featured characters who were interested in science and mathematics.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the plots featured characters who were interested in science and mathematics', 'the plot featured characters who were interested in science and mathematics', 'the plot is featured characters who were interested in science and mathematics', 'the plots featured characters who are interested in science and mathematics', 'the bloods featured characters who were interested in science and mathematics']

[ "the library provided by the send mail consortium is p thread based", "the library provided by the send mail consortium is p thread based", "the library provided by the syncmail consortium is p thread based", "the library provided by the single mail consortium is p thread based", "the library provided by the saint mal consortium is p thread based" ]

the library provided by the sendmail consortium is pthread based

the library provided by the send mail consortium is p thread based.

the library provided by the send mail consortium is p thread based. the library provided by the syncmail consortium is p thread based. the library provided by the single mail consortium is p thread based. the library provided by the saint mal consortium is p thread based.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the library provided by the send mail consortium is p thread based', 'the library provided by the send mail consortium is p thread based', 'the library provided by the syncmail consortium is p thread based', 'the library provided by the single mail consortium is p thread based', 'the library provided by the saint mal consortium is p thread based']

[ "the hito was fitted as standard", "a hero was fitted as standard", "the people was fitted as standard", "the hitler was fitted as standard", "a hit was fitted as standard" ]

a heater was fitted as standard

the hito was fitted as standard.

a hero was fitted as standard. the people was fitted as standard. the hitler was fitted as standard. a hit was fitted as standard.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hito was fitted as standard', 'a hero was fitted as standard', 'the people was fitted as standard', 'the hitler was fitted as standard', 'a hit was fitted as standard']

[ "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits", "she becomes his lover accompanying him and his gang on their exploits" ]

she becomes his lover accompanying him and his gang on their exploits

she becomes his lover accompanying him and his gang on their exploits.

she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits. she becomes his lover accompanying him and his gang on their exploits.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits', 'she becomes his lover accompanying him and his gang on their exploits']

[ "today the couple live in roath and cado", "today the couple live in roof and cado", "today the couple live in roof and kado", "today the couple live in roof and coddo", "today we have a couple of live in roof and coddo" ]

today the couple live in roath in cardiff

today the couple live in roath and cado.

today the couple live in roof and cado. today the couple live in roof and kado. today the couple live in roof and coddo. today we have a couple of live in roof and coddo.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today the couple live in roath and cado', 'today the couple live in roof and cado', 'today the couple live in roof and kado', 'today the couple live in roof and coddo', 'today we have a couple of live in roof and coddo']

[ "the affiliation with wine is shared with the assistant city of huntington british columbia canada", "the affiliation with wine is shared with the assistive city of pentington british columbia canada", "the affiliation with wine is shared with the assistant city of pentington british columbia canada", "the affiliation with wine is shared with the assister city of pentington british columbia canada", "the affiliation with wine is shared with the assisted city of pentington british columbia canada" ]

the affiliation with wine is shared with their sister city of penticton british columbia canada

the affiliation with wine is shared with the assistant city of huntington british columbia canada.

the affiliation with wine is shared with the assistive city of pentington british columbia canada. the affiliation with wine is shared with the assistant city of pentington british columbia canada. the affiliation with wine is shared with the assister city of pentington british columbia canada. the affiliation with wine is shared with the assisted city of pentington british columbia canada.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the affiliation with wine is shared with the assistant city of huntington british columbia canada', 'the affiliation with wine is shared with the assistive city of pentington british columbia canada', 'the affiliation with wine is shared with the assistant city of pentington british columbia canada', 'the affiliation with wine is shared with the assister city of pentington british columbia canada', 'the affiliation with wine is shared with the assisted city of pentington british columbia canada']

[ "the dozelefin has a long base and around the tip", "the dozle fin has a long base and around the tip", "the dorsal fin has a long base and around the tip", "the dozelefin has a long base and around a tip", "the dozle fin has a long base and around a tip" ]

the dorsal fin has a long base and a rounded tip

the dozelefin has a long base and around the tip.

the dozle fin has a long base and around the tip. the dorsal fin has a long base and around the tip. the dozelefin has a long base and around a tip. the dozle fin has a long base and around a tip.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dozelefin has a long base and around the tip', 'the dozle fin has a long base and around the tip', 'the dorsal fin has a long base and around the tip', 'the dozelefin has a long base and around a tip', 'the dozle fin has a long base and around a tip']

[ "you are never dirty she says", "you are never dirty she says", "you are never dirty she says", "you are never dirty she says", "you are never dirty she says" ]

you are never dirty she says

you are never dirty she says.

you are never dirty she says. you are never dirty she says. you are never dirty she says. you are never dirty she says.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says', 'you are never dirty she says']

[ "it was with free for all that bent face the specter of the one hit wonder", "it was with free for all that bent face the specter of the one hit wonder", "it was with free for all that pen face the specter of the one hit wonder", "it was with free for all that pen phase the specter of the one hit wonder", "it was with free for all that pen face the specter of the one hit wonder" ]

it was with free for all that penn faced the specter of the one hit wonder

it was with free for all that bent face the specter of the one hit wonder.

it was with free for all that bent face the specter of the one hit wonder. it was with free for all that pen face the specter of the one hit wonder. it was with free for all that pen phase the specter of the one hit wonder. it was with free for all that pen face the specter of the one hit wonder.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was with free for all that bent face the specter of the one hit wonder', 'it was with free for all that bent face the specter of the one hit wonder', 'it was with free for all that pen face the specter of the one hit wonder', 'it was with free for all that pen phase the specter of the one hit wonder', 'it was with free for all that pen face the specter of the one hit wonder']

[ "the village also has a church in village hall", "the village also has a church in village hall", "the village also has a church in fillage hall", "the village also has a church in village hall", "the village also has a church in village hall" ]

the village also has a church and village hall

the village also has a church in village hall.

the village also has a church in village hall. the village also has a church in fillage hall. the village also has a church in village hall. the village also has a church in village hall.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village also has a church in village hall', 'the village also has a church in village hall', 'the village also has a church in fillage hall', 'the village also has a church in village hall', 'the village also has a church in village hall']

[ "the village has a public house the cold chain horses", "the village has a public house the coal chain horses", "the village has a public house the coach and horses", "the village has a public house the culture and horses", "the village has a public house the cold chain horses" ]

the village has a public house the coach and horses

the village has a public house the cold chain horses.

the village has a public house the coal chain horses. the village has a public house the coach and horses. the village has a public house the culture and horses. the village has a public house the cold chain horses.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village has a public house the cold chain horses', 'the village has a public house the coal chain horses', 'the village has a public house the coach and horses', 'the village has a public house the culture and horses', 'the village has a public house the cold chain horses']

[ "the road held wage industry bitterly opposed nationalization and found a lies in the conservative party", "the road held wage industry bitterly opposed nationalization and found a lies in the conservative party", "the road held wage industry bitterly opposed nationalization and found allies in the conservative party", "the road hell wage industry bitterly opposed nationalization and found allies in the conservative party", "the road held wage industry bitterly opposed nationalization and found allies in the conservative party" ]

the road haulage industry bitterly opposed nationalization and found allies in the conservative party

the road held wage industry bitterly opposed nationalization and found a lies in the conservative party.

the road held wage industry bitterly opposed nationalization and found a lies in the conservative party. the road held wage industry bitterly opposed nationalization and found allies in the conservative party. the road hell wage industry bitterly opposed nationalization and found allies in the conservative party. the road held wage industry bitterly opposed nationalization and found allies in the conservative party.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the road held wage industry bitterly opposed nationalization and found a lies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found a lies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found allies in the conservative party', 'the road hell wage industry bitterly opposed nationalization and found allies in the conservative party', 'the road held wage industry bitterly opposed nationalization and found allies in the conservative party']

[ "the suspension of the solid and liquid is then poured through the funnel", "the suspension of solid and liquid is then poured through the funnel", "the suspension of the solid and liquid is then poured over the funnel", "the suspension of solid and liquid is then poured over the funnel", "the suspension of solid and liquid is then poured through the funnel" ]

the suspension of solid and liquid is then poured through the funnel

the suspension of the solid and liquid is then poured through the funnel.

the suspension of solid and liquid is then poured through the funnel. the suspension of the solid and liquid is then poured over the funnel. the suspension of solid and liquid is then poured over the funnel. the suspension of solid and liquid is then poured through the funnel.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the suspension of the solid and liquid is then poured through the funnel', 'the suspension of solid and liquid is then poured through the funnel', 'the suspension of the solid and liquid is then poured over the funnel', 'the suspension of solid and liquid is then poured over the funnel', 'the suspension of solid and liquid is then poured through the funnel']

[ "it reproduces asexually by icedia", "it reproduces asexually by icidia", "it reproduces asexually by icidia", "it reproduces asexually by icedea", "it reproduces asexually by icedia" ]

it reproduces asexually by isidia

it reproduces asexually by icedia.

it reproduces asexually by icidia. it reproduces asexually by icidia. it reproduces asexually by icedea. it reproduces asexually by icedia.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it reproduces asexually by icedia', 'it reproduces asexually by icidia', 'it reproduces asexually by icidia', 'it reproduces asexually by icedea', 'it reproduces asexually by icedia']

[ "the table of bill long j class yatch follows", "table of bill long j class h fallows", "the table of bill long j class yacht follows", "the table of bill long j class yacht is follows", "table of bill long j class yatch follows" ]

a table of well known j class yachts follows

the table of bill long j class yatch follows.

table of bill long j class h fallows. the table of bill long j class yacht follows. the table of bill long j class yacht is follows. table of bill long j class yatch follows.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the table of bill long j class yatch follows', 'table of bill long j class h fallows', 'the table of bill long j class yacht follows', 'the table of bill long j class yacht is follows', 'table of bill long j class yatch follows']

[ "the winner was ab jackson", "the winner was abie jackson", "the winner was ab jackson", "the winner was ab jackson", "the winner was ab jackson" ]

the winner was eddie jackson

the winner was ab jackson.

the winner was abie jackson. the winner was ab jackson. the winner was ab jackson. the winner was ab jackson.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the winner was ab jackson', 'the winner was abie jackson', 'the winner was ab jackson', 'the winner was ab jackson', 'the winner was ab jackson']

[ "some freight trains will use the sign today", "some freight trains will use this sign today", "some freight trains so we will use the sign today", "some freight trains so we will use this sign today", "some fright drains so we will use the sign today" ]

some freight trains still use this line today

some freight trains will use the sign today.

some freight trains will use this sign today. some freight trains so we will use the sign today. some freight trains so we will use this sign today. some fright drains so we will use the sign today.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some freight trains will use the sign today', 'some freight trains will use this sign today', 'some freight trains so we will use the sign today', 'some freight trains so we will use this sign today', 'some fright drains so we will use the sign today']

[ "under science control the age exercised enormous political power in victoria", "under signs control the age exercised enormous political power in victoria", "under science control the age execised enormous political power in victoria", "under science control the age exercised enormous political power in victoria", "under signs controlled the age exercised enormous political power in victoria" ]

under syme is control the age exercised enormous political power in victoria

under science control the age exercised enormous political power in victoria.

under signs control the age exercised enormous political power in victoria. under science control the age execised enormous political power in victoria. under science control the age exercised enormous political power in victoria. under signs controlled the age exercised enormous political power in victoria.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['under science control the age exercised enormous political power in victoria', 'under signs control the age exercised enormous political power in victoria', 'under science control the age execised enormous political power in victoria', 'under science control the age exercised enormous political power in victoria', 'under signs controlled the age exercised enormous political power in victoria']

[ "the beef then sits in the broth typically for hours", "the beef then sits in the broth typically for hours", "the beef then sits in the broth typically for hours", "the beef densets in the broth typically for hours", "the beef then sticks in the broth typically for hours" ]

the beef then sits in the broth typically for hours

the beef then sits in the broth typically for hours.

the beef then sits in the broth typically for hours. the beef then sits in the broth typically for hours. the beef densets in the broth typically for hours. the beef then sticks in the broth typically for hours.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the beef then sits in the broth typically for hours', 'the beef then sits in the broth typically for hours', 'the beef then sits in the broth typically for hours', 'the beef densets in the broth typically for hours', 'the beef then sticks in the broth typically for hours']

[ "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged", "eleven civilians were killed and most of the houses were damaged" ]

eleven civilians were killed and most of the houses were damaged

eleven civilians were killed and most of the houses were damaged.

eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged. eleven civilians were killed and most of the houses were damaged.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged', 'eleven civilians were killed and most of the houses were damaged']

[ "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artworks for the area", "the auckland city council has initiated a program of public artwork for the area", "the auckland city council has initiated a program of public artworks for the area" ]

the auckland city council has initiated a program of public artworks for the area

the auckland city council has initiated a program of public artworks for the area.

the auckland city council has initiated a program of public artworks for the area. the auckland city council has initiated a program of public artworks for the area. the auckland city council has initiated a program of public artwork for the area. the auckland city council has initiated a program of public artworks for the area.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artworks for the area', 'the auckland city council has initiated a program of public artwork for the area', 'the auckland city council has initiated a program of public artworks for the area']

[ "from above and higher semi permanent snow and ice fields exist during winter", "from above and higher semi permanent snow and ice fields exist during winter", "from about and higher semi permanent snow and ice fields exist during winter", "from above and higher semi permanent snow and ice fields exists during winter", "from above and higher semi permanent snow and ice feels existing during winter" ]

from about and higher semi permanent snow and ice fields exist during winter

from above and higher semi permanent snow and ice fields exist during winter.

from above and higher semi permanent snow and ice fields exist during winter. from about and higher semi permanent snow and ice fields exist during winter. from above and higher semi permanent snow and ice fields exists during winter. from above and higher semi permanent snow and ice feels existing during winter.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from above and higher semi permanent snow and ice fields exist during winter', 'from above and higher semi permanent snow and ice fields exist during winter', 'from about and higher semi permanent snow and ice fields exist during winter', 'from above and higher semi permanent snow and ice fields exists during winter', 'from above and higher semi permanent snow and ice feels existing during winter']

[ "the series was created and produced by nick orchin", "the series was created and produced by nick orchard", "this series was created and produced by nick orchin", "the series was created and produced by nick orchin", "the series was created and produced by nick orchard" ]

the series was created and produced by nick orchard

the series was created and produced by nick orchin.

the series was created and produced by nick orchard. this series was created and produced by nick orchin. the series was created and produced by nick orchin. the series was created and produced by nick orchard.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the series was created and produced by nick orchin', 'the series was created and produced by nick orchard', 'this series was created and produced by nick orchin', 'the series was created and produced by nick orchin', 'the series was created and produced by nick orchard']

[ "you play the undercover cop in the forms window opposite chillin fan", "he played an undercover cop in the forms window opposite chillin fan", "he played an undercover cop in the forms window opposite charlene finn", "he played an undercover cop in the form is window opposite chillin fan", "he played an undercover cop in the form is window opposite charlene finn" ]

he played an undercover cop in the film swindle opposite sherilyn fenn

you play the undercover cop in the forms window opposite chillin fan.

he played an undercover cop in the forms window opposite chillin fan. he played an undercover cop in the forms window opposite charlene finn. he played an undercover cop in the form is window opposite chillin fan. he played an undercover cop in the form is window opposite charlene finn.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you play the undercover cop in the forms window opposite chillin fan', 'he played an undercover cop in the forms window opposite chillin fan', 'he played an undercover cop in the forms window opposite charlene finn', 'he played an undercover cop in the form is window opposite chillin fan', 'he played an undercover cop in the form is window opposite charlene finn']

[ "back on serenity my precious scenario for an explanation offers a post designness", "back on serenity my precious scenario for an explanation offers a post design", "back on serenity my precious scenario for an explanation offers a post designance", "back on serenity mal presses in out of foreign explanation offers a post designness", "back on serenity malpress is in honor of foreign explanation offers a post designness" ]

back on serenity mal presses inara for an explanation of her supposed dizziness

back on serenity my precious scenario for an explanation offers a post designness.

back on serenity my precious scenario for an explanation offers a post design. back on serenity my precious scenario for an explanation offers a post designance. back on serenity mal presses in out of foreign explanation offers a post designness. back on serenity malpress is in honor of foreign explanation offers a post designness.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['back on serenity my precious scenario for an explanation offers a post designness', 'back on serenity my precious scenario for an explanation offers a post design', 'back on serenity my precious scenario for an explanation offers a post designance', 'back on serenity mal presses in out of foreign explanation offers a post designness', 'back on serenity malpress is in honor of foreign explanation offers a post designness']

[ "a lot of couples sit outside at a park in the daytime", "a lot of couples sit outside at a park in the day time", "a lot of couples sit outside at a park in the data", "a lot of couples sit outside at a park in the data", "a lot of couples sit outside at a park in the daytona" ]

a lot of couples sit outside at a park in the daytime

a lot of couples sit outside at a park in the daytime.

a lot of couples sit outside at a park in the day time. a lot of couples sit outside at a park in the data. a lot of couples sit outside at a park in the data. a lot of couples sit outside at a park in the daytona.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a lot of couples sit outside at a park in the daytime', 'a lot of couples sit outside at a park in the day time', 'a lot of couples sit outside at a park in the data', 'a lot of couples sit outside at a park in the data', 'a lot of couples sit outside at a park in the daytona']

[ "handrail station would be on a large rail with single with one platform", "handrail station would be on a large rail with single with one platform", "handrail station would be on a large rail with single width one platform", "handrail station would be on a large rail with single loop with one platform", "handrail station would be on a large railing single with one platform" ]

herne hill station would be on a large reversing loop with one platform

handrail station would be on a large rail with single with one platform.

handrail station would be on a large rail with single with one platform. handrail station would be on a large rail with single width one platform. handrail station would be on a large rail with single loop with one platform. handrail station would be on a large railing single with one platform.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['handrail station would be on a large rail with single with one platform', 'handrail station would be on a large rail with single with one platform', 'handrail station would be on a large rail with single width one platform', 'handrail station would be on a large rail with single loop with one platform', 'handrail station would be on a large railing single with one platform']

[ "under international funding the temple has undergone many changes both structurally and internally", "under international funding the temple has undergone many changes both structurally and internally", "under international funding the temple has undergone many changes both structurally and thoroughly", "under international funding the temple has undergone many changes both structurally and thoroughly", "under international funding the temple has undergone many changes both structurally and internally" ]

under international funding the temple has undergone many changes both structurally and internally

under international funding the temple has undergone many changes both structurally and internally.

under international funding the temple has undergone many changes both structurally and internally. under international funding the temple has undergone many changes both structurally and thoroughly. under international funding the temple has undergone many changes both structurally and thoroughly. under international funding the temple has undergone many changes both structurally and internally.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['under international funding the temple has undergone many changes both structurally and internally', 'under international funding the temple has undergone many changes both structurally and internally', 'under international funding the temple has undergone many changes both structurally and thoroughly', 'under international funding the temple has undergone many changes both structurally and thoroughly', 'under international funding the temple has undergone many changes both structurally and internally']

[ "it mood is done broadway destroying several buildings", "it mood is down broadway destroying several buildings", "its mood is down broadway destroying several buildings", "it mood is done broadway destroying several buildings", "it mood is done broadway destroying several buildings" ]

it moved east down broadway destroying several buildings

it mood is done broadway destroying several buildings.

it mood is down broadway destroying several buildings. its mood is down broadway destroying several buildings. it mood is done broadway destroying several buildings. it mood is done broadway destroying several buildings.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it mood is done broadway destroying several buildings', 'it mood is down broadway destroying several buildings', 'its mood is down broadway destroying several buildings', 'it mood is done broadway destroying several buildings', 'it mood is done broadway destroying several buildings']

[ "shellshort is unstable it may change the relative order of elements with equal values", "shellshort is unstable it may change the relative order of elements with equal values", "shellshot is unstable it may change the relative order of elements with equal values", "shellshot is unstable it may change the relative order of elements with equal values", "shell short is unstable it may change the relative order of elements with equal values" ]

shellsort is unstable it may change the relative order of elements with equal values

shellshort is unstable it may change the relative order of elements with equal values.

shellshort is unstable it may change the relative order of elements with equal values. shellshot is unstable it may change the relative order of elements with equal values. shellshot is unstable it may change the relative order of elements with equal values. shell short is unstable it may change the relative order of elements with equal values.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shellshort is unstable it may change the relative order of elements with equal values', 'shellshort is unstable it may change the relative order of elements with equal values', 'shellshot is unstable it may change the relative order of elements with equal values', 'shellshot is unstable it may change the relative order of elements with equal values', 'shell short is unstable it may change the relative order of elements with equal values']

[ "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many other educational institutions", "it is also the home of major normal college and many of the educational institutions" ]

it is also the home of neijiang normal college and many other educational institutions

it is also the home of major normal college and many other educational institutions.

it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many other educational institutions. it is also the home of major normal college and many of the educational institutions.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many other educational institutions', 'it is also the home of major normal college and many of the educational institutions']

[ "it takes two talent", "it takes two talent", "it takes two talent", "it takes two talents", "it takes two talents" ]

it takes true talent

it takes two talent.

it takes two talent. it takes two talent. it takes two talents. it takes two talents.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it takes two talent', 'it takes two talent', 'it takes two talent', 'it takes two talents', 'it takes two talents']

[ "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks", "this includes self protection standoff and escort shaming and anti radiation attacks" ]

this includes self protection standoff and escort jamming and antiradiation attacks

this includes self protection standoff and escort shaming and anti radiation attacks.

this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks. this includes self protection standoff and escort shaming and anti radiation attacks.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks', 'this includes self protection standoff and escort shaming and anti radiation attacks']

[ "a case is never solved", "her case is never solved", "okay so it is never solved", "okay so it is never solved", "a case is never solved" ]

her case was never solved

a case is never solved.

her case is never solved. okay so it is never solved. okay so it is never solved. a case is never solved.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a case is never solved', 'her case is never solved', 'okay so it is never solved', 'okay so it is never solved', 'a case is never solved']

[ "these individual scores are then added up to give the turtle school", "these individual scores are then added up to give the turtle score", "these individual scores are then added up to give the third score", "these individual scores are then added up to give their turtle score", "these individual scores are then added up to give the turtle skull" ]

these individual scores are then added up to give the total score

these individual scores are then added up to give the turtle school.

these individual scores are then added up to give the turtle score. these individual scores are then added up to give the third score. these individual scores are then added up to give their turtle score. these individual scores are then added up to give the turtle skull.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these individual scores are then added up to give the turtle school', 'these individual scores are then added up to give the turtle score', 'these individual scores are then added up to give the third score', 'these individual scores are then added up to give their turtle score', 'these individual scores are then added up to give the turtle skull']

[ "they can be easily pruned", "they can be easily pruned", "they can be easily pruned", "they can be easily pruned", "they can be easily pruned" ]

they can be easily pruned

they can be easily pruned.

they can be easily pruned. they can be easily pruned. they can be easily pruned. they can be easily pruned.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned', 'they can be easily pruned']

[ "currently as biosynthesis and biological roles in animals is fully known", "currently as biosynthesis and biological roles in animals is fully known", "cartley is biosynthesis and biological roles in animals is fully known", "carly is biosynthesis and biological roles in animals is fully known", "currently his biosynthesis and biological roles in animals is fully known" ]

currently its biosynthesis and biological role in animals is poorly known

currently as biosynthesis and biological roles in animals is fully known.

currently as biosynthesis and biological roles in animals is fully known. cartley is biosynthesis and biological roles in animals is fully known. carly is biosynthesis and biological roles in animals is fully known. currently his biosynthesis and biological roles in animals is fully known.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['currently as biosynthesis and biological roles in animals is fully known', 'currently as biosynthesis and biological roles in animals is fully known', 'cartley is biosynthesis and biological roles in animals is fully known', 'carly is biosynthesis and biological roles in animals is fully known', 'currently his biosynthesis and biological roles in animals is fully known']

[ "then all neighborhoods of the region catan circles are not nula homotopic", "then all neighborhoods of the region catan circles are not nila homotopic", "then all neighborhoods are the origin catane circles are not nula homotopic", "then all neighborhoods of the region can turn circles are not nula homotopic", "then all neighborhoods of the region can turn circles are not nila homotopic" ]

then all neighborhoods of the origin contain circles that are not nullhomotopic

then all neighborhoods of the region catan circles are not nula homotopic.

then all neighborhoods of the region catan circles are not nila homotopic. then all neighborhoods are the origin catane circles are not nula homotopic. then all neighborhoods of the region can turn circles are not nula homotopic. then all neighborhoods of the region can turn circles are not nila homotopic.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then all neighborhoods of the region catan circles are not nula homotopic', 'then all neighborhoods of the region catan circles are not nila homotopic', 'then all neighborhoods are the origin catane circles are not nula homotopic', 'then all neighborhoods of the region can turn circles are not nula homotopic', 'then all neighborhoods of the region can turn circles are not nila homotopic']

[ "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "coral often playing tough tomboy parts", "carl often playing tough tomboy parts" ]

corral often playing tough tomboy parts

coral often playing tough tomboy parts.

coral often playing tough tomboy parts. coral often playing tough tomboy parts. coral often playing tough tomboy parts. carl often playing tough tomboy parts.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'coral often playing tough tomboy parts', 'carl often playing tough tomboy parts']

[ "should not you be at work", "should not you be at work", "should not you be at work", "should not you be at work", "should not you be at work" ]

should not you be at work

should not you be at work.

should not you be at work. should not you be at work. should not you be at work. should not you be at work.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['should not you be at work', 'should not you be at work', 'should not you be at work', 'should not you be at work', 'should not you be at work']

[ "new learning programs and a dedicated website were developed alongside the physical changes", "new learning programs and a dedicated website will develop the long side of physical changes", "new learning programs and a dedicated website were developed alongside the physical changes", "new learning programs and a dedicated website will develop the long side of physical changes", "new learning programs and a dedicated website were developed alongside the physical changes" ]

new learning programs and a dedicated website were developed alongside the physical changes

new learning programs and a dedicated website were developed alongside the physical changes.

new learning programs and a dedicated website will develop the long side of physical changes. new learning programs and a dedicated website were developed alongside the physical changes. new learning programs and a dedicated website will develop the long side of physical changes. new learning programs and a dedicated website were developed alongside the physical changes.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['new learning programs and a dedicated website were developed alongside the physical changes', 'new learning programs and a dedicated website will develop the long side of physical changes', 'new learning programs and a dedicated website were developed alongside the physical changes', 'new learning programs and a dedicated website will develop the long side of physical changes', 'new learning programs and a dedicated website were developed alongside the physical changes']

[ "some album art makers controversy because of nudity offending churches trademark or others", "some album art makers controversy because of nudity offending treasures trademark or others", "some album art makers controversy because of nudity offending churches trademark or others", "some album art makers controversy because of nudity offending treasures trademark or others", "some album art makers controversy because of nudity of ending churches trademark or others" ]

some album art may cause controversy because of nudity offending churches trademark or others

some album art makers controversy because of nudity offending churches trademark or others.

some album art makers controversy because of nudity offending treasures trademark or others. some album art makers controversy because of nudity offending churches trademark or others. some album art makers controversy because of nudity offending treasures trademark or others. some album art makers controversy because of nudity of ending churches trademark or others.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some album art makers controversy because of nudity offending churches trademark or others', 'some album art makers controversy because of nudity offending treasures trademark or others', 'some album art makers controversy because of nudity offending churches trademark or others', 'some album art makers controversy because of nudity offending treasures trademark or others', 'some album art makers controversy because of nudity of ending churches trademark or others']

[ "linear referencing is one of the family and methods of expressing the location", "linear referencing is one of the family and methods of expressing location", "linear referencing is one of a family and methods of expressing the location", "linear referencing is one of the family members of expressing the location", "linear referencing is one of the family and methods of expressing the location" ]

linear referencing is one of a family of methods of expressing location

linear referencing is one of the family and methods of expressing the location.

linear referencing is one of the family and methods of expressing location. linear referencing is one of a family and methods of expressing the location. linear referencing is one of the family members of expressing the location. linear referencing is one of the family and methods of expressing the location.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['linear referencing is one of the family and methods of expressing the location', 'linear referencing is one of the family and methods of expressing location', 'linear referencing is one of a family and methods of expressing the location', 'linear referencing is one of the family members of expressing the location', 'linear referencing is one of the family and methods of expressing the location']

[ "william tuttle received an honorary oscar for his makeup work on this film", "william tuttle received an honorary oscar for his make up work on this film", "william tuttle received an honorary oscar for his make up work on this film", "william tuttle received an honorary oscar for his makeup work on this film", "william tuddle received an honorary oscar for his makeup work on this film" ]

william tuttle received an honorary oscar for his makeup work on this film

william tuttle received an honorary oscar for his makeup work on this film.

william tuttle received an honorary oscar for his make up work on this film. william tuttle received an honorary oscar for his make up work on this film. william tuttle received an honorary oscar for his makeup work on this film. william tuddle received an honorary oscar for his makeup work on this film.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['william tuttle received an honorary oscar for his makeup work on this film', 'william tuttle received an honorary oscar for his make up work on this film', 'william tuttle received an honorary oscar for his make up work on this film', 'william tuttle received an honorary oscar for his makeup work on this film', 'william tuddle received an honorary oscar for his makeup work on this film']

[ "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children", "he was the eldest of five brothers and was one of nine children" ]

he was the eldest of five brothers and was one of nine children

he was the eldest of five brothers and was one of nine children.

he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children. he was the eldest of five brothers and was one of nine children.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children', 'he was the eldest of five brothers and was one of nine children']

[ "he was much more interested in the middle east than the far east", "he was much more interested in the middle east and the far east", "he was much more interested in the middle east than the fire east", "he was much more interested in the middle east and the fire east", "he was much more interested in the middle east than the far east" ]

he was much more interested in the middle east than in the far east

he was much more interested in the middle east than the far east.

he was much more interested in the middle east and the far east. he was much more interested in the middle east than the fire east. he was much more interested in the middle east and the fire east. he was much more interested in the middle east than the far east.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was much more interested in the middle east than the far east', 'he was much more interested in the middle east and the far east', 'he was much more interested in the middle east than the fire east', 'he was much more interested in the middle east and the fire east', 'he was much more interested in the middle east than the far east']

[ "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term", "the mayor is elected to a two year term" ]

the mayor is elected to a two year term

the mayor is elected to a two year term.

the mayor is elected to a two year term. the mayor is elected to a two year term. the mayor is elected to a two year term. the mayor is elected to a two year term.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term', 'the mayor is elected to a two year term']

[ "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratory", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratories", "academic space in the building includes three classrooms and physiology computer and kinesiology laboratory" ]

academic space in the building includes three classrooms and physiology computer and kinesiology laboratories

academic space in the building includes three classrooms and physiology computer and kinesiology laboratories.

academic space in the building includes three classrooms and physiology computer and kinesiology laboratories. academic space in the building includes three classrooms and physiology computer and kinesiology laboratory. academic space in the building includes three classrooms and physiology computer and kinesiology laboratories. academic space in the building includes three classrooms and physiology computer and kinesiology laboratory.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratory', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratories', 'academic space in the building includes three classrooms and physiology computer and kinesiology laboratory']

[ "low ranking nobleman was thus able to gain a higher status by either service", "low ranking nobleman was thus able to gain a higher status by either service", "low ranking nobleman was thus able to gain a higher status by header service", "low ranking nobleman was thus able to gain a higher status by header service", "low ranking nobleman was thus able to gain a higher status by either service" ]

lower ranking noblemen were thus able to gain a higher status by military service

low ranking nobleman was thus able to gain a higher status by either service.

low ranking nobleman was thus able to gain a higher status by either service. low ranking nobleman was thus able to gain a higher status by header service. low ranking nobleman was thus able to gain a higher status by header service. low ranking nobleman was thus able to gain a higher status by either service.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['low ranking nobleman was thus able to gain a higher status by either service', 'low ranking nobleman was thus able to gain a higher status by either service', 'low ranking nobleman was thus able to gain a higher status by header service', 'low ranking nobleman was thus able to gain a higher status by header service', 'low ranking nobleman was thus able to gain a higher status by either service']

[ "rin chan became ambitious", "rin chan became ambitious", "rincha became ambitious", "rinchan became ambitious", "rin chan became ambitious" ]

rinchan became ambitious

rin chan became ambitious.

rin chan became ambitious. rincha became ambitious. rinchan became ambitious. rin chan became ambitious.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rin chan became ambitious', 'rin chan became ambitious', 'rincha became ambitious', 'rinchan became ambitious', 'rin chan became ambitious']

[ "two little boys walk towards a bike in front of a yellow wall", "to the little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall", "two little boys walk towards a bike in front of a yellow wall" ]

two little boys walk towards a bike in front of a yellow wall

two little boys walk towards a bike in front of a yellow wall.

to the little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall. two little boys walk towards a bike in front of a yellow wall.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two little boys walk towards a bike in front of a yellow wall', 'to the little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall', 'two little boys walk towards a bike in front of a yellow wall']

[ "the men junk was placed in solitary confinement during the appeals process", "the men junk was placed in solitary confinement during their appeals process", "the man junk was placed in solitary confinement during the appeals process", "the manjunk was placed in solitary confinement during the appeals process", "the men junk was placed in solitary confinement during the appeals process" ]

demjanjuk was placed in solitary confinement during the appeals process

the men junk was placed in solitary confinement during the appeals process.

the men junk was placed in solitary confinement during their appeals process. the man junk was placed in solitary confinement during the appeals process. the manjunk was placed in solitary confinement during the appeals process. the men junk was placed in solitary confinement during the appeals process.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the men junk was placed in solitary confinement during the appeals process', 'the men junk was placed in solitary confinement during their appeals process', 'the man junk was placed in solitary confinement during the appeals process', 'the manjunk was placed in solitary confinement during the appeals process', 'the men junk was placed in solitary confinement during the appeals process']

[ "they all do look all love all fondness all affection", "they all dear look all love all fondness all affection", "they all deal look all love all fondness all affection", "the old dear look all love all fondness all affection", "they all dear look all love all fondness all affection" ]

the old dear look all love all fondness all affection

they all do look all love all fondness all affection.

they all dear look all love all fondness all affection. they all deal look all love all fondness all affection. the old dear look all love all fondness all affection. they all dear look all love all fondness all affection.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they all do look all love all fondness all affection', 'they all dear look all love all fondness all affection', 'they all deal look all love all fondness all affection', 'the old dear look all love all fondness all affection', 'they all dear look all love all fondness all affection']

[ "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space", "old man has previously worked with leblanc on lost in space" ]

oldman had previously worked with leblanc on lost in space

old man has previously worked with leblanc on lost in space.

old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space. old man has previously worked with leblanc on lost in space.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space', 'old man has previously worked with leblanc on lost in space']

[ "each economy relies mainly on fishing and logging", "it is economy relies mainly on fishing and logging", "its economy relies mainly on fishing and logging", "its economy relies mainly on fishing and logging", "it is economy relies mainly on fishing and logging" ]

its economy relies mainly on fishing and logging

each economy relies mainly on fishing and logging.

it is economy relies mainly on fishing and logging. its economy relies mainly on fishing and logging. its economy relies mainly on fishing and logging. it is economy relies mainly on fishing and logging.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each economy relies mainly on fishing and logging', 'it is economy relies mainly on fishing and logging', 'its economy relies mainly on fishing and logging', 'its economy relies mainly on fishing and logging', 'it is economy relies mainly on fishing and logging']

[ "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world", "he utilized this boat to sail to many parts of the world" ]

he utilized this boat to sail to many parts of the world

he utilized this boat to sail to many parts of the world.

he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world. he utilized this boat to sail to many parts of the world.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world', 'he utilized this boat to sail to many parts of the world']

[ "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare", "it is also seen in children but this is rare" ]

it is also seen in children but this is rare

it is also seen in children but this is rare.

it is also seen in children but this is rare. it is also seen in children but this is rare. it is also seen in children but this is rare. it is also seen in children but this is rare.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare', 'it is also seen in children but this is rare']

[ "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically", "it can also be prepared synthetically" ]

it can also be prepared synthetically

it can also be prepared synthetically.

it can also be prepared synthetically. it can also be prepared synthetically. it can also be prepared synthetically. it can also be prepared synthetically.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically', 'it can also be prepared synthetically']

[ "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all", "instead you will be shot in the morning that is all" ]

instead you will be shot in the morning that is all

instead you will be shot in the morning that is all.

instead you will be shot in the morning that is all. instead you will be shot in the morning that is all. instead you will be shot in the morning that is all. instead you will be shot in the morning that is all.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all', 'instead you will be shot in the morning that is all']

[ "a boy and a girl holding hands were sitting on the show", "a boy and a girl holding hands were sitting on a show", "a boy and a girl holding hands was sitting on the show", "a boy and a girl holding hands was sitting on a show", "a boy and a girl holding hands were sitting on the show" ]

a boy and a girl holding hands while sitting on a shore

a boy and a girl holding hands were sitting on the show.

a boy and a girl holding hands were sitting on a show. a boy and a girl holding hands was sitting on the show. a boy and a girl holding hands was sitting on a show. a boy and a girl holding hands were sitting on the show.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a boy and a girl holding hands were sitting on the show', 'a boy and a girl holding hands were sitting on a show', 'a boy and a girl holding hands was sitting on the show', 'a boy and a girl holding hands was sitting on a show', 'a boy and a girl holding hands were sitting on the show']

[ "he attended saint thomas school full ham and saint teresa is modern", "he attended saint thomas coup full ham and saint teresa is modern", "he attended saint thomas school for ham and saint teresa is modern", "he attended saint thomas school for harm and saint teresa is modern", "he attended saint thomas school for hum and saint teresa is modern" ]

he attended saint thomas is school fulham and saint teresa is morden

he attended saint thomas school full ham and saint teresa is modern.

he attended saint thomas coup full ham and saint teresa is modern. he attended saint thomas school for ham and saint teresa is modern. he attended saint thomas school for harm and saint teresa is modern. he attended saint thomas school for hum and saint teresa is modern.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he attended saint thomas school full ham and saint teresa is modern', 'he attended saint thomas coup full ham and saint teresa is modern', 'he attended saint thomas school for ham and saint teresa is modern', 'he attended saint thomas school for harm and saint teresa is modern', 'he attended saint thomas school for hum and saint teresa is modern']

[ "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits", "butler service is provided in higher level accommodations such as penthouse suits" ]

butler service is provided in higher level accommodations such as penthouse suites

butler service is provided in higher level accommodations such as penthouse suits.

butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits. butler service is provided in higher level accommodations such as penthouse suits.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits', 'butler service is provided in higher level accommodations such as penthouse suits']

[ "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word skinner meaning to shine", "the name comes from the old norse word schiener meaning to shine" ]

the name comes from the old norse word skinr meaning to shine

the name comes from the old norse word skinner meaning to shine.

the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word skinner meaning to shine. the name comes from the old norse word schiener meaning to shine.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word skinner meaning to shine', 'the name comes from the old norse word schiener meaning to shine']

[ "there may exist multiple cages for a given girth", "there may exist multiple cages for a given growth", "there may exist multiple cages for a given birth", "there may exist multiple cages for a given girth", "there may exist multiple cages for a given growth" ]

there may exist multiple cages for a given girth

there may exist multiple cages for a given girth.

there may exist multiple cages for a given growth. there may exist multiple cages for a given birth. there may exist multiple cages for a given girth. there may exist multiple cages for a given growth.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there may exist multiple cages for a given girth', 'there may exist multiple cages for a given growth', 'there may exist multiple cages for a given birth', 'there may exist multiple cages for a given girth', 'there may exist multiple cages for a given growth']

[ "the town after a plebiscite changed its name and its sister in law duro ma", "the town after a plebiscite changed its name and the sister in law duro ma", "the town after a plebiscite changed its name into sister in law duro ma", "the town after a plebiscite changed its name into sister in l durama", "the town after a plebiscite changed its name from the sister in law duro ma" ]

the town after a plebiscite changed its name into cisterna di roma

the town after a plebiscite changed its name and its sister in law duro ma.

the town after a plebiscite changed its name and the sister in law duro ma. the town after a plebiscite changed its name into sister in law duro ma. the town after a plebiscite changed its name into sister in l durama. the town after a plebiscite changed its name from the sister in law duro ma.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town after a plebiscite changed its name and its sister in law duro ma', 'the town after a plebiscite changed its name and the sister in law duro ma', 'the town after a plebiscite changed its name into sister in law duro ma', 'the town after a plebiscite changed its name into sister in l durama', 'the town after a plebiscite changed its name from the sister in law duro ma']

[ "badminton house also gives its name to the sport of badminton", "badminton house also gives its name to the sport of badminton", "badminton house also gives it is name to the sport of badminton", "badminton house also gives its name to the sport of badminton", "badminton house also gives its name to the sport of badminton" ]

badminton house also gives its name to the sport of badminton

badminton house also gives its name to the sport of badminton.

badminton house also gives its name to the sport of badminton. badminton house also gives it is name to the sport of badminton. badminton house also gives its name to the sport of badminton. badminton house also gives its name to the sport of badminton.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['badminton house also gives its name to the sport of badminton', 'badminton house also gives its name to the sport of badminton', 'badminton house also gives it is name to the sport of badminton', 'badminton house also gives its name to the sport of badminton', 'badminton house also gives its name to the sport of badminton']

[ "the limbs contain correctly used archived glenwage", "the limbs contain correctly used archaic language", "the limbs contain correctly used archived language", "the limbs contain correctly used archived language", "the limbs contain correctly used archaic language" ]

the laws contain correctly used archaic language

the limbs contain correctly used archived glenwage.

the limbs contain correctly used archaic language. the limbs contain correctly used archived language. the limbs contain correctly used archived language. the limbs contain correctly used archaic language.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the limbs contain correctly used archived glenwage', 'the limbs contain correctly used archaic language', 'the limbs contain correctly used archived language', 'the limbs contain correctly used archived language', 'the limbs contain correctly used archaic language']

[ "it is now divided into apartments", "it is now divided into apartments", "it is now divided into the apartments", "and it is now divided into apartments", "it is now divided into apartments" ]

it is now divided into apartments

it is now divided into apartments.

it is now divided into apartments. it is now divided into the apartments. and it is now divided into apartments. it is now divided into apartments.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is now divided into apartments', 'it is now divided into apartments', 'it is now divided into the apartments', 'and it is now divided into apartments', 'it is now divided into apartments']

[ "it is directly related to the notion of algorithm accuracy robustness and reliability", "it is directly related to the notion of algorithm accuracy robustness and reliability", "it is directly related to the notion of algorithm accuracy robusness anglaeability", "it is directly related to the notion of algorithm accuracy robusness angliability", "it is directly related to the notion of algorithm accuracy robusness anglais ability" ]

it is directly related to the notion of algorithm accuracy robustness and reliability

it is directly related to the notion of algorithm accuracy robustness and reliability.

it is directly related to the notion of algorithm accuracy robustness and reliability. it is directly related to the notion of algorithm accuracy robusness anglaeability. it is directly related to the notion of algorithm accuracy robusness angliability. it is directly related to the notion of algorithm accuracy robusness anglais ability.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is directly related to the notion of algorithm accuracy robustness and reliability', 'it is directly related to the notion of algorithm accuracy robustness and reliability', 'it is directly related to the notion of algorithm accuracy robusness anglaeability', 'it is directly related to the notion of algorithm accuracy robusness angliability', 'it is directly related to the notion of algorithm accuracy robusness anglais ability']

[ "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten croft the sixth grade", "the remote city has an elementary school with great levels with kindergarten and croft the sixth grade" ]

gilmore city has an elementary school with grade levels prep kindergarten through the sixth grade

the remote city has an elementary school with great levels with kindergarten croft the sixth grade.

the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten croft the sixth grade. the remote city has an elementary school with great levels with kindergarten and croft the sixth grade.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten croft the sixth grade', 'the remote city has an elementary school with great levels with kindergarten and croft the sixth grade']

[ "he had expanded it himself and had it decorated with caesar one everdingen", "he had expanded it himself and had it decorated with caesar one everdingen", "he had expanded himself and had it degraded with caesar i everdingen", "he had expanded himself and had it degraded with caesar one everdingen", "he had expanded it himself and had it degraded with caesar i everdingen" ]

he had expanded it himself and had it decorated by caesar van everdingen

he had expanded it himself and had it decorated with caesar one everdingen.

he had expanded it himself and had it decorated with caesar one everdingen. he had expanded himself and had it degraded with caesar i everdingen. he had expanded himself and had it degraded with caesar one everdingen. he had expanded it himself and had it degraded with caesar i everdingen.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had expanded it himself and had it decorated with caesar one everdingen', 'he had expanded it himself and had it decorated with caesar one everdingen', 'he had expanded himself and had it degraded with caesar i everdingen', 'he had expanded himself and had it degraded with caesar one everdingen', 'he had expanded it himself and had it degraded with caesar i everdingen']

[ "the most high profile of regia anglaurum is activities is the whitehurst project", "the most high profile of regia and glorum is activities is the whitehurst project", "the most high profile of regia anglorum is activities is the whitehurst project", "the most high profile of regia anglaurum is activities is the whitehurst project", "the most high profile of regia englorum is activities is the whitehurst project" ]

the most high profile of regia anglorum is activities is the wychurst project

the most high profile of regia anglaurum is activities is the whitehurst project.

the most high profile of regia and glorum is activities is the whitehurst project. the most high profile of regia anglorum is activities is the whitehurst project. the most high profile of regia anglaurum is activities is the whitehurst project. the most high profile of regia englorum is activities is the whitehurst project.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the most high profile of regia anglaurum is activities is the whitehurst project', 'the most high profile of regia and glorum is activities is the whitehurst project', 'the most high profile of regia anglorum is activities is the whitehurst project', 'the most high profile of regia anglaurum is activities is the whitehurst project', 'the most high profile of regia englorum is activities is the whitehurst project']

[ "the couple have two daughters and the family using country", "the couple have two daughters and the family using her country", "the couple have two daughters and the family using country", "the couple have two daughters and the family using the country", "the couple have two daughters and the family using a country" ]

the couple have two daughters and the family lives in coventry

the couple have two daughters and the family using country.

the couple have two daughters and the family using her country. the couple have two daughters and the family using country. the couple have two daughters and the family using the country. the couple have two daughters and the family using a country.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the couple have two daughters and the family using country', 'the couple have two daughters and the family using her country', 'the couple have two daughters and the family using country', 'the couple have two daughters and the family using the country', 'the couple have two daughters and the family using a country']

[ "march cautions homer but gets enticed by snakes three card monte game", "march cautions homer but gets enticed by snakes three card monte game", "marge cautions homer but gets enticed by snakes three card monte game", "march cautions homer but gets enticed by snake is three card monte game", "march cautions homer but gets enticed by snakes three card monte game" ]

marge cautions homer but gets enticed by snake is three card monte game

march cautions homer but gets enticed by snakes three card monte game.

march cautions homer but gets enticed by snakes three card monte game. marge cautions homer but gets enticed by snakes three card monte game. march cautions homer but gets enticed by snake is three card monte game. march cautions homer but gets enticed by snakes three card monte game.

train_cv

null

[]

You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['march cautions homer but gets enticed by snakes three card monte game', 'march cautions homer but gets enticed by snakes three card monte game', 'marge cautions homer but gets enticed by snakes three card monte game', 'march cautions homer but gets enticed by snake is three card monte game', 'march cautions homer but gets enticed by snakes three card monte game']

[ "it was known in arabic sources as no lambda", "it was known in arabic sources as no lanta", "it was known in arabic sources as no lanto", "it was known in arabic sources as no lamta", "it was known in arabic sources as nolamta" ]

it was known in arabic sources as noul lamta

it was known in arabic sources as no lambda.

it was known in arabic sources as no lanta. it was known in arabic sources as no lanto. it was known in arabic sources as no lamta. it was known in arabic sources as nolamta.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was known in arabic sources as no lambda', 'it was known in arabic sources as no lanta', 'it was known in arabic sources as no lanto', 'it was known in arabic sources as no lamta', 'it was known in arabic sources as nolamta']

[ "smith subsequently failed to make payments on the farm", "smith is subsequently failed to make payments on the farm", "smith subsequently failed to make payments on farm", "smith is subsequently failed to make payments on farm", "smith subsequently failed to make payments on the farm" ]

smith subsequently failed to make payments on the farm

smith subsequently failed to make payments on the farm.

smith is subsequently failed to make payments on the farm. smith subsequently failed to make payments on farm. smith is subsequently failed to make payments on farm. smith subsequently failed to make payments on the farm.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['smith subsequently failed to make payments on the farm', 'smith is subsequently failed to make payments on the farm', 'smith subsequently failed to make payments on farm', 'smith is subsequently failed to make payments on farm', 'smith subsequently failed to make payments on the farm']

[ "there are several other permanent variable styles in suffice", "there are several of the permanent variable styles in suffice", "there are several other permanent variable styles in sephius", "there are several other permanent variable styles in sephyus", "there are several of the permanent variable styles in sephius" ]

there are several other prominent variable stars in cepheus

there are several other permanent variable styles in suffice.

there are several of the permanent variable styles in suffice. there are several other permanent variable styles in sephius. there are several other permanent variable styles in sephyus. there are several of the permanent variable styles in sephius.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are several other permanent variable styles in suffice', 'there are several of the permanent variable styles in suffice', 'there are several other permanent variable styles in sephius', 'there are several other permanent variable styles in sephyus', 'there are several of the permanent variable styles in sephius']

[ "the company was founded by frederick chudah", "the company was founded by frederick tudor", "the company was founded by friedrich tudor", "the company was founded by frederick chuda", "the company was founded by frederick chewda" ]

the company was founded by frederic tudor

the company was founded by frederick chudah.

the company was founded by frederick tudor. the company was founded by friedrich tudor. the company was founded by frederick chuda. the company was founded by frederick chewda.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company was founded by frederick chudah', 'the company was founded by frederick tudor', 'the company was founded by friedrich tudor', 'the company was founded by frederick chuda', 'the company was founded by frederick chewda']

[ "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club", "during that same time many comedians also appeared at the club" ]

during that same time many comedians also appeared at the club

during that same time many comedians also appeared at the club.

during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club. during that same time many comedians also appeared at the club.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club', 'during that same time many comedians also appeared at the club']

[ "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran", "his mother was persian and he had strong support in iran" ]

his mother was persian and he had strong support in iran

his mother was persian and he had strong support in iran.

his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran. his mother was persian and he had strong support in iran.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran', 'his mother was persian and he had strong support in iran']

[ "the back feet are sindactyl which helps it to climb", "the back feet are sin tactile which helps it to climb", "the back feet are seen tactile which helps it to climb", "the back feet are sin tactile which helps it to climb", "the back feet are syntactyl which helps it to climb" ]

the back feet are syndactyl which helps it to climb

the back feet are sindactyl which helps it to climb.

the back feet are sin tactile which helps it to climb. the back feet are seen tactile which helps it to climb. the back feet are sin tactile which helps it to climb. the back feet are syntactyl which helps it to climb.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the back feet are sindactyl which helps it to climb', 'the back feet are sin tactile which helps it to climb', 'the back feet are seen tactile which helps it to climb', 'the back feet are sin tactile which helps it to climb', 'the back feet are syntactyl which helps it to climb']

[ "the house interview appropriate subcommittee was not convinced and the plan went along unchanged", "the house interview appropriate subcommittee was not convinced and plan went along unchanged", "the house interview appropriate subcommittee was not convened and the plan went along unchanged", "the house interview appropriate subcommittee was not convened and plan went along unchanged", "the house interior appropriate subcommittee was not convinced and the plan went along unchanged" ]

the house interior appropriates subcommittee was not convinced and the plan went along unchanged

the house interview appropriate subcommittee was not convinced and the plan went along unchanged.

the house interview appropriate subcommittee was not convinced and plan went along unchanged. the house interview appropriate subcommittee was not convened and the plan went along unchanged. the house interview appropriate subcommittee was not convened and plan went along unchanged. the house interior appropriate subcommittee was not convinced and the plan went along unchanged.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the house interview appropriate subcommittee was not convinced and the plan went along unchanged', 'the house interview appropriate subcommittee was not convinced and plan went along unchanged', 'the house interview appropriate subcommittee was not convened and the plan went along unchanged', 'the house interview appropriate subcommittee was not convened and plan went along unchanged', 'the house interior appropriate subcommittee was not convinced and the plan went along unchanged']

[ "she is buried at highgate cemetery", "she is buried at hygate cemetery", "she is married at highgate cemetery", "she is buried at hygote cemetery", "she is buried at highgate cemetery" ]

she is buried at highgate cemetery

she is buried at highgate cemetery.

she is buried at hygate cemetery. she is married at highgate cemetery. she is buried at hygote cemetery. she is buried at highgate cemetery.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is buried at highgate cemetery', 'she is buried at hygate cemetery', 'she is married at highgate cemetery', 'she is buried at hygote cemetery', 'she is buried at highgate cemetery']

[ "there is one parish george saint peter is", "there is one parish church saint peter is", "there is one parish church saint peter is", "there is one paris george saint peter is", "there is one parish george saint peter is" ]

there is one parish church saint peter is

there is one parish george saint peter is.

there is one parish church saint peter is. there is one parish church saint peter is. there is one paris george saint peter is. there is one parish george saint peter is.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is one parish george saint peter is', 'there is one parish church saint peter is', 'there is one parish church saint peter is', 'there is one paris george saint peter is', 'there is one parish george saint peter is']

[ "the parachute clatworthy was part of the wilaton and freyman is one hundred", "the parachute clat worthy was part of the wilaton and freyman is one hundred", "the parachute clackworthy was part of the wilaton and freyman is one hundred", "the parorship clat worthy was part of the willeton and freyman is hundred", "the parorship clat worthy was part of the willeton and freyman is one hundred" ]

the parish of clatworthy was part of the williton and freemanners hundred

the parachute clatworthy was part of the wilaton and freyman is one hundred.

the parachute clat worthy was part of the wilaton and freyman is one hundred. the parachute clackworthy was part of the wilaton and freyman is one hundred. the parorship clat worthy was part of the willeton and freyman is hundred. the parorship clat worthy was part of the willeton and freyman is one hundred.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the parachute clatworthy was part of the wilaton and freyman is one hundred', 'the parachute clat worthy was part of the wilaton and freyman is one hundred', 'the parachute clackworthy was part of the wilaton and freyman is one hundred', 'the parorship clat worthy was part of the willeton and freyman is hundred', 'the parorship clat worthy was part of the willeton and freyman is one hundred']

[ "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fiveth projective proof", "they also mentioned but do not describe the details of fifth projective proof", "they also mention but do not describe the details of fiveth projective proof" ]

they also mention but do not describe the details of a fifth bijective proof

they also mentioned but do not describe the details of fiveth projective proof.

they also mentioned but do not describe the details of fiveth projective proof. they also mentioned but do not describe the details of fiveth projective proof. they also mentioned but do not describe the details of fifth projective proof. they also mention but do not describe the details of fiveth projective proof.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fiveth projective proof', 'they also mentioned but do not describe the details of fifth projective proof', 'they also mention but do not describe the details of fiveth projective proof']

[ "rick immediately became a regular on the left wing replacing joel janskron", "rick immediately became a regular on the left wing replacing joel jamstron", "ricks immediately became a regular on the left wing replacing joel janskron", "rick immediately became a regular on the left wing replacing joel jamstrong", "rick immediately became a regular on the left wing with placing joel janskron" ]

rix immediately became a regular on the left wing replacing george armstrong

rick immediately became a regular on the left wing replacing joel janskron.

rick immediately became a regular on the left wing replacing joel jamstron. ricks immediately became a regular on the left wing replacing joel janskron. rick immediately became a regular on the left wing replacing joel jamstrong. rick immediately became a regular on the left wing with placing joel janskron.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rick immediately became a regular on the left wing replacing joel janskron', 'rick immediately became a regular on the left wing replacing joel jamstron', 'ricks immediately became a regular on the left wing replacing joel janskron', 'rick immediately became a regular on the left wing replacing joel jamstrong', 'rick immediately became a regular on the left wing with placing joel janskron']

[ "the thing cheach and chong are great with is voices", "the thing chichun chong are great with is voices", "the thing chichen chong are great with is voices", "the thing cheach and chong are great with is voices", "the thing qi chen chong are great with is voices" ]

the thing cheech and chong are great with is voices

the thing cheach and chong are great with is voices.

the thing chichun chong are great with is voices. the thing chichen chong are great with is voices. the thing cheach and chong are great with is voices. the thing qi chen chong are great with is voices.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the thing cheach and chong are great with is voices', 'the thing chichun chong are great with is voices', 'the thing chichen chong are great with is voices', 'the thing cheach and chong are great with is voices', 'the thing qi chen chong are great with is voices']

[ "a bibliography of monday is published books was included by alice in his biography", "a bibliography of mondays published books was included by alice in his biography", "a bibliography of monday is published books was included by ellis in his biography", "a bibliography of mondays published books was included by ellis in his biography", "a bibliography of monde is published books was included by alice in his biography" ]

a bibliography of mundy is published books was included by ellis in his biography

a bibliography of monday is published books was included by alice in his biography.

a bibliography of mondays published books was included by alice in his biography. a bibliography of monday is published books was included by ellis in his biography. a bibliography of mondays published books was included by ellis in his biography. a bibliography of monde is published books was included by alice in his biography.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a bibliography of monday is published books was included by alice in his biography', 'a bibliography of mondays published books was included by alice in his biography', 'a bibliography of monday is published books was included by ellis in his biography', 'a bibliography of mondays published books was included by ellis in his biography', 'a bibliography of monde is published books was included by alice in his biography']

[ "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members", "it is a company limited by guarantee owned and run by its members" ]

it is a company limited by guarantee owned and run by its members

it is a company limited by guarantee owned and run by its members.

it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members. it is a company limited by guarantee owned and run by its members.

train_cv

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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members', 'it is a company limited by guarantee owned and run by its members']