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[ "the pair were good friends and business partners in the photographic agency", "the pair were good friends and business partners in their photographic agency", "the pair were good friends and business partners in the photographic agency", "the pair were good friends and business partners in the foro graphic agency", "the pair were good friends and business partners in the ferro graphic agency" ]
the pair were good friends and business partners in a photographic agency
the pair were good friends and business partners in the photographic agency.
the pair were good friends and business partners in their photographic agency. the pair were good friends and business partners in the photographic agency. the pair were good friends and business partners in the foro graphic agency. the pair were good friends and business partners in the ferro graphic agency.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the pair were good friends and business partners in the photographic agency', 'the pair were good friends and business partners in their photographic agency', 'the pair were good friends and business partners in the photographic agency', 'the pair were good friends and business partners in the foro graphic agency', 'the pair were good friends and business partners in the ferro graphic agency']
[ "the net domain was added with the first implementation of these domains", "the net domain was added with the first implementation of this domain", "the net domain was added with the first implementation of these domains", "the inet domain was added with the first implementation of these domains", "the net domain was added with the first implementation of these domains" ]
the net domain was added with the first implementation of these domains
the net domain was added with the first implementation of these domains.
the net domain was added with the first implementation of this domain. the net domain was added with the first implementation of these domains. the inet domain was added with the first implementation of these domains. the net domain was added with the first implementation of these domains.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the net domain was added with the first implementation of these domains', 'the net domain was added with the first implementation of this domain', 'the net domain was added with the first implementation of these domains', 'the inet domain was added with the first implementation of these domains', 'the net domain was added with the first implementation of these domains']
[ "the village of capac is located within the township", "the village of kappak is located within the township", "the village of kappek is located within the township", "the village of capek is located within the township", "the village of kapak is located within the township" ]
the village of capac is located within the township
the village of capac is located within the township.
the village of kappak is located within the township. the village of kappek is located within the township. the village of capek is located within the township. the village of kapak is located within the township.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village of capac is located within the township', 'the village of kappak is located within the township', 'the village of kappek is located within the township', 'the village of capek is located within the township', 'the village of kapak is located within the township']
[ "hey the overall the chinox seems to owe more to monaster than a spit and tastery", "hey the overall the chinox seems to owe more to monaster than its bits and tastery", "hey the overall the chinook seems to owe more to monaster then it is bit and testry", "hey the overall the chinox seems to owe more to monaster than a spits and testry", "hey the overall the chinook seems to owe more to monaster than his spits and tastery" ]
overall the chinook seems to owe more to molosser than to spitz ancestry
hey the overall the chinox seems to owe more to monaster than a spit and tastery.
hey the overall the chinox seems to owe more to monaster than its bits and tastery. hey the overall the chinook seems to owe more to monaster then it is bit and testry. hey the overall the chinox seems to owe more to monaster than a spits and testry. hey the overall the chinook seems to owe more to monaster than his spits and tastery.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hey the overall the chinox seems to owe more to monaster than a spit and tastery', 'hey the overall the chinox seems to owe more to monaster than its bits and tastery', 'hey the overall the chinook seems to owe more to monaster then it is bit and testry', 'hey the overall the chinox seems to owe more to monaster than a spits and testry', 'hey the overall the chinook seems to owe more to monaster than his spits and tastery']
[ "with three decades he was leading bigger in the conservative monday club", "with three decades he was leading bigger in the conservative monday club", "with three decades he was a leading figure in the conservative monday club", "with three decades he was a leading figure in the conservative monday club", "with three decades he was leading bigger in the conservative monday club" ]
for three decades he was a leading figure in the conservative monday club
with three decades he was leading bigger in the conservative monday club.
with three decades he was leading bigger in the conservative monday club. with three decades he was a leading figure in the conservative monday club. with three decades he was a leading figure in the conservative monday club. with three decades he was leading bigger in the conservative monday club.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with three decades he was leading bigger in the conservative monday club', 'with three decades he was leading bigger in the conservative monday club', 'with three decades he was a leading figure in the conservative monday club', 'with three decades he was a leading figure in the conservative monday club', 'with three decades he was leading bigger in the conservative monday club']
[ "this declaration was part of the reorganization of the soviet union", "this declaration was part of the reorganization of the soviet union", "this declaration was part of the reorganization of the soviet union", "this declaration was a part of the reorganization of the soviet union", "this declaration was a part of the reorganization of the soviet union" ]
this declaration was part of the reorganization of the soviet union
this declaration was part of the reorganization of the soviet union.
this declaration was part of the reorganization of the soviet union. this declaration was part of the reorganization of the soviet union. this declaration was a part of the reorganization of the soviet union. this declaration was a part of the reorganization of the soviet union.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this declaration was part of the reorganization of the soviet union', 'this declaration was part of the reorganization of the soviet union', 'this declaration was part of the reorganization of the soviet union', 'this declaration was a part of the reorganization of the soviet union', 'this declaration was a part of the reorganization of the soviet union']
[ "he won the mid school while ranked second in the overall", "he won the minth score while ranked second in the overall", "he won the mid school well ranked second in the overall", "he won the minth school while ranked second in the overall", "he won the min score while ranked second in the overall" ]
he won the men is poll while ranked second in the overall
he won the mid school while ranked second in the overall.
he won the minth score while ranked second in the overall. he won the mid school well ranked second in the overall. he won the minth school while ranked second in the overall. he won the min score while ranked second in the overall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he won the mid school while ranked second in the overall', 'he won the minth score while ranked second in the overall', 'he won the mid school well ranked second in the overall', 'he won the minth school while ranked second in the overall', 'he won the min score while ranked second in the overall']
[ "it does not feature on any map", "it does not feature on any map", "it does not feature on any map", "it does not feature on any map", "it does not feature on any map" ]
it does not feature on any map
it does not feature on any map.
it does not feature on any map. it does not feature on any map. it does not feature on any map. it does not feature on any map.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it does not feature on any map', 'it does not feature on any map', 'it does not feature on any map', 'it does not feature on any map', 'it does not feature on any map']
[ "there are a large number of different violence born methods", "there are a large number of different violence bound methods", "there are a large number of different violence bond methods", "there are a large number of different violence bond methods", "there are a large number of different violence born methods" ]
there are a large number of different valence bond methods
there are a large number of different violence born methods.
there are a large number of different violence bound methods. there are a large number of different violence bond methods. there are a large number of different violence bond methods. there are a large number of different violence born methods.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are a large number of different violence born methods', 'there are a large number of different violence bound methods', 'there are a large number of different violence bond methods', 'there are a large number of different violence bond methods', 'there are a large number of different violence born methods']
[ "additionally it marked the beginning of the thank you or father kids running gag", "additionally it marked the beginning of the thank you or father kids running gag", "additionally it mugged the beginning of the thank you or father kids running gag", "additionally it mug the beginning of the thank you or father kids running gag", "additionally it marked the beginning of the thank you or father kids running gag" ]
additionally it marked the beginning of the thank your father kids running gag
additionally it marked the beginning of the thank you or father kids running gag.
additionally it marked the beginning of the thank you or father kids running gag. additionally it mugged the beginning of the thank you or father kids running gag. additionally it mug the beginning of the thank you or father kids running gag. additionally it marked the beginning of the thank you or father kids running gag.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['additionally it marked the beginning of the thank you or father kids running gag', 'additionally it marked the beginning of the thank you or father kids running gag', 'additionally it mugged the beginning of the thank you or father kids running gag', 'additionally it mug the beginning of the thank you or father kids running gag', 'additionally it marked the beginning of the thank you or father kids running gag']
[ "in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning", "in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning", "in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning", "in jrr tolkien is middle earth legendarium the hobbits have developed the shire reckoning", "in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning" ]
in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning
in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning.
in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning. in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning. in jrr tolkien is middle earth legendarium the hobbits have developed the shire reckoning. in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning', 'in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning', 'in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning', 'in jrr tolkien is middle earth legendarium the hobbits have developed the shire reckoning', 'in j r r tolkien is middle earth legendarium the hobbits have developed the shire reckoning']
[ "a private elevator served only the presidential suite", "the private elevator served only the presidential suite", "a private elevator served only the presidential suite", "a private elevator served only the presidential suite", "the private elevator served only the presidential suite" ]
a private elevator served only the presidential suite
a private elevator served only the presidential suite.
the private elevator served only the presidential suite. a private elevator served only the presidential suite. a private elevator served only the presidential suite. the private elevator served only the presidential suite.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a private elevator served only the presidential suite', 'the private elevator served only the presidential suite', 'a private elevator served only the presidential suite', 'a private elevator served only the presidential suite', 'the private elevator served only the presidential suite']
[ "constable was highly reputed as a poet in his own day", "constable was highly reputed as a poet in his wound day", "constable was highly reputed as a poet in his own day", "constable was highly reputed as a poet in his wound day", "constable was highly reputed as a poet in his woon day" ]
constable was highly reputed as a poet in his own day
constable was highly reputed as a poet in his own day.
constable was highly reputed as a poet in his wound day. constable was highly reputed as a poet in his own day. constable was highly reputed as a poet in his wound day. constable was highly reputed as a poet in his woon day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['constable was highly reputed as a poet in his own day', 'constable was highly reputed as a poet in his wound day', 'constable was highly reputed as a poet in his own day', 'constable was highly reputed as a poet in his wound day', 'constable was highly reputed as a poet in his woon day']
[ "the car won the round and helped secure the championship", "the car won the round and helped secure the champion ship", "the car won the round and helped secure the championship", "the car won the round and helped secure the championship", "the car won the round and helped secure the championship" ]
the car won the round and helped secure the championship
the car won the round and helped secure the championship.
the car won the round and helped secure the champion ship. the car won the round and helped secure the championship. the car won the round and helped secure the championship. the car won the round and helped secure the championship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the car won the round and helped secure the championship', 'the car won the round and helped secure the champion ship', 'the car won the round and helped secure the championship', 'the car won the round and helped secure the championship', 'the car won the round and helped secure the championship']
[ "the glass cladding had also begun to rise", "the glasscladding had also begun to rise", "the glass gliding had also begun to rise", "the glass cladding had also begun to rise", "the glasscladding had also begun to rise" ]
the glass cladding had also begun to rise
the glass cladding had also begun to rise.
the glasscladding had also begun to rise. the glass gliding had also begun to rise. the glass cladding had also begun to rise. the glasscladding had also begun to rise.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the glass cladding had also begun to rise', 'the glasscladding had also begun to rise', 'the glass gliding had also begun to rise', 'the glass cladding had also begun to rise', 'the glasscladding had also begun to rise']
[ "similar protests erupted across the country", "similar products erupted across the country", "similar protest erupted across the country", "similar protests erupted across the country", "similar protests erupted across the country" ]
similar protests erupted across the country
similar protests erupted across the country.
similar products erupted across the country. similar protest erupted across the country. similar protests erupted across the country. similar protests erupted across the country.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['similar protests erupted across the country', 'similar products erupted across the country', 'similar protest erupted across the country', 'similar protests erupted across the country', 'similar protests erupted across the country']
[ "chief joseph is widely credited with leading the nez per se on this journey", "chief joseph is widely credited with leading the nez perse on this journey", "chief joseph is widely credited with leading the nez per se on this journey", "chief joseph is widely credited with leading the nes per se on this journey", "chief joseph is widely credited with leading the nes perse on this journey" ]
chief joseph is widely credited with leading the nez perce on this journey
chief joseph is widely credited with leading the nez per se on this journey.
chief joseph is widely credited with leading the nez perse on this journey. chief joseph is widely credited with leading the nez per se on this journey. chief joseph is widely credited with leading the nes per se on this journey. chief joseph is widely credited with leading the nes perse on this journey.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chief joseph is widely credited with leading the nez per se on this journey', 'chief joseph is widely credited with leading the nez perse on this journey', 'chief joseph is widely credited with leading the nez per se on this journey', 'chief joseph is widely credited with leading the nes per se on this journey', 'chief joseph is widely credited with leading the nes perse on this journey']
[ "a secretary of state can add or remove species at any time", "a secretary of state can add or remove species at any time", "a secretariat of state can add or remove species at any time", "a secretary of state can add or remove species at any time", "a secretariat of state can add or remove species at any time" ]
a secretary of state can add or remove species at any time
a secretary of state can add or remove species at any time.
a secretary of state can add or remove species at any time. a secretariat of state can add or remove species at any time. a secretary of state can add or remove species at any time. a secretariat of state can add or remove species at any time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a secretary of state can add or remove species at any time', 'a secretary of state can add or remove species at any time', 'a secretariat of state can add or remove species at any time', 'a secretary of state can add or remove species at any time', 'a secretariat of state can add or remove species at any time']
[ "cosmological horizon set the size and scale of the observable universe", "because my logical horizon set the size and scale of the observable universe", "horizons set the size and scale of the observable universe", "horizontal horizon set the size and scale of the observable universe", "cosmological horizon set the size and scale of the observable universe" ]
cosmological horizons set the size and scale of the observable universe
cosmological horizon set the size and scale of the observable universe.
because my logical horizon set the size and scale of the observable universe. horizons set the size and scale of the observable universe. horizontal horizon set the size and scale of the observable universe. cosmological horizon set the size and scale of the observable universe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cosmological horizon set the size and scale of the observable universe', 'because my logical horizon set the size and scale of the observable universe', 'horizons set the size and scale of the observable universe', 'horizontal horizon set the size and scale of the observable universe', 'cosmological horizon set the size and scale of the observable universe']
[ "the residents were hostile to the echo arrangements of british colonists on the territory", "the residents were hostile to the echo regiments of british colonists on the territory", "the residents were hostile to the acreagements of british colonists on the territory", "the residents were hostile to the echo arrangements of british colonists on the territory", "the residents were hostile to the echo regiments of british colonists on the territory" ]
the residents were hostile to the encroachments of british colonists on their territory
the residents were hostile to the echo arrangements of british colonists on the territory.
the residents were hostile to the echo regiments of british colonists on the territory. the residents were hostile to the acreagements of british colonists on the territory. the residents were hostile to the echo arrangements of british colonists on the territory. the residents were hostile to the echo regiments of british colonists on the territory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the residents were hostile to the echo arrangements of british colonists on the territory', 'the residents were hostile to the echo regiments of british colonists on the territory', 'the residents were hostile to the acreagements of british colonists on the territory', 'the residents were hostile to the echo arrangements of british colonists on the territory', 'the residents were hostile to the echo regiments of british colonists on the territory']
[ "body square leader and single member of parliament is david stamall", "body square leader and single member of parliament is david seymour", "body square leader and single member of parliament is david stammall", "but his poor leader and single member of parliament is david stamall", "but his poor leader and single member of parliament is david stammall" ]
the party is current leader and single member of parliament is david seymour
body square leader and single member of parliament is david stamall.
body square leader and single member of parliament is david seymour. body square leader and single member of parliament is david stammall. but his poor leader and single member of parliament is david stamall. but his poor leader and single member of parliament is david stammall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['body square leader and single member of parliament is david stamall', 'body square leader and single member of parliament is david seymour', 'body square leader and single member of parliament is david stammall', 'but his poor leader and single member of parliament is david stamall', 'but his poor leader and single member of parliament is david stammall']
[ "like hell in birds is hate robbery as actually my national news", "like hell in birds is hate robbery as actually made national news", "like hell in birds is hate robbery as actually made national news", "like hell and birds is hate robbery as actually my national news", "like hell in birds is hate robbery as actually my national news" ]
the calvin versus hope rivalry has actually made national news
like hell in birds is hate robbery as actually my national news.
like hell in birds is hate robbery as actually made national news. like hell in birds is hate robbery as actually made national news. like hell and birds is hate robbery as actually my national news. like hell in birds is hate robbery as actually my national news.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like hell in birds is hate robbery as actually my national news', 'like hell in birds is hate robbery as actually made national news', 'like hell in birds is hate robbery as actually made national news', 'like hell and birds is hate robbery as actually my national news', 'like hell in birds is hate robbery as actually my national news']
[ "in lighter periods this connection was expressed as the triple god tar saker of cyrus", "in lighter periods this connection was expressed as the triple god tar sekar of cyrus", "in lighter periods this connection was expressed as the triple god tar saker of cyrus", "in lighter periods this connection was expressed as the triple god tar saker of cyrus", "in lighter periods this connection was expressed as the triple god tar saker of cyrus" ]
in later periods this connection was expressed as the triple god ptah seker osiris
in lighter periods this connection was expressed as the triple god tar saker of cyrus.
in lighter periods this connection was expressed as the triple god tar sekar of cyrus. in lighter periods this connection was expressed as the triple god tar saker of cyrus. in lighter periods this connection was expressed as the triple god tar saker of cyrus. in lighter periods this connection was expressed as the triple god tar saker of cyrus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in lighter periods this connection was expressed as the triple god tar saker of cyrus', 'in lighter periods this connection was expressed as the triple god tar sekar of cyrus', 'in lighter periods this connection was expressed as the triple god tar saker of cyrus', 'in lighter periods this connection was expressed as the triple god tar saker of cyrus', 'in lighter periods this connection was expressed as the triple god tar saker of cyrus']
[ "hardwick", "hardwick", "hardwick", "hardwick", "hardwik" ]
hardwick
hardwick.
hardwick. hardwick. hardwick. hardwik.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hardwick', 'hardwick', 'hardwick', 'hardwick', 'hardwik']
[ "hostpower increased to about measured in independent tests", "hostpower increase to about measured in independent tests", "holes power increase to about measured in independent tests", "holes power increased to about measured in independent tests", "horsepower increased to about measured in independent tests" ]
horsepower increased to about measured in independent tests
hostpower increased to about measured in independent tests.
hostpower increase to about measured in independent tests. holes power increase to about measured in independent tests. holes power increased to about measured in independent tests. horsepower increased to about measured in independent tests.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hostpower increased to about measured in independent tests', 'hostpower increase to about measured in independent tests', 'holes power increase to about measured in independent tests', 'holes power increased to about measured in independent tests', 'horsepower increased to about measured in independent tests']
[ "whitwell is built environment is characterized by its mixture of stone and thatched housing", "whitwell is built environment is characterized by its mixture of stone and thatched housing", "witwell is built environment is characterized by its mixture of stone and thatched housing", "wittwell is built environment is characterized by its mixture of stone and thatched housing", "wittwill is built environment is characterized by its mixture of stone and thatched housing" ]
whitwell is built environment is characterized by its mixture of stone and thatched housing
whitwell is built environment is characterized by its mixture of stone and thatched housing.
whitwell is built environment is characterized by its mixture of stone and thatched housing. witwell is built environment is characterized by its mixture of stone and thatched housing. wittwell is built environment is characterized by its mixture of stone and thatched housing. wittwill is built environment is characterized by its mixture of stone and thatched housing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['whitwell is built environment is characterized by its mixture of stone and thatched housing', 'whitwell is built environment is characterized by its mixture of stone and thatched housing', 'witwell is built environment is characterized by its mixture of stone and thatched housing', 'wittwell is built environment is characterized by its mixture of stone and thatched housing', 'wittwill is built environment is characterized by its mixture of stone and thatched housing']
[ "the decoration is similar to the air force medical badge", "the decoration is similar to the air force medical badge", "the decoration is similar to the air force medical badge", "the decoration is similar to the air force medical badge", "the decoration is similar to the air force medical badge" ]
the decoration is similar to the air force medical badge
the decoration is similar to the air force medical badge.
the decoration is similar to the air force medical badge. the decoration is similar to the air force medical badge. the decoration is similar to the air force medical badge. the decoration is similar to the air force medical badge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the decoration is similar to the air force medical badge', 'the decoration is similar to the air force medical badge', 'the decoration is similar to the air force medical badge', 'the decoration is similar to the air force medical badge', 'the decoration is similar to the air force medical badge']
[ "the musket boil remained in him for the rest of his life", "the musket boiled remained in him for the rest of his life", "the musket boy remained in him for the rest of his life", "the musket ball remained in him for the rest of his life", "the musket oil remained in him for the rest of his life" ]
the musket ball remained in him for the rest of his life
the musket boil remained in him for the rest of his life.
the musket boiled remained in him for the rest of his life. the musket boy remained in him for the rest of his life. the musket ball remained in him for the rest of his life. the musket oil remained in him for the rest of his life.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the musket boil remained in him for the rest of his life', 'the musket boiled remained in him for the rest of his life', 'the musket boy remained in him for the rest of his life', 'the musket ball remained in him for the rest of his life', 'the musket oil remained in him for the rest of his life']
[ "large adjacent symbols are also formed by the addition of other soloing instruments", "large adjacent samples are also formed by the addition of other soloing instruments", "large adjacent symbols are also formed by the addition of other siloing instruments", "large adjacent samples are also formed by the addition of other siloing instruments", "larger jasm symbols are also formed by the addition of other soloing instruments" ]
larger jazz ensembles are also formed by the addition of other soloing instruments
large adjacent symbols are also formed by the addition of other soloing instruments.
large adjacent samples are also formed by the addition of other soloing instruments. large adjacent symbols are also formed by the addition of other siloing instruments. large adjacent samples are also formed by the addition of other siloing instruments. larger jasm symbols are also formed by the addition of other soloing instruments.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['large adjacent symbols are also formed by the addition of other soloing instruments', 'large adjacent samples are also formed by the addition of other soloing instruments', 'large adjacent symbols are also formed by the addition of other siloing instruments', 'large adjacent samples are also formed by the addition of other siloing instruments', 'larger jasm symbols are also formed by the addition of other soloing instruments']
[ "mister brookie is interested in ideas and they bubble in per crop", "mister brukey is interested in ideas and they bubble in per crop", "mister brookie is interested in ideas and they bubble on per crop", "mister brukey is interested in ideas and they bubble on per crop", "mister brookie is interested in ideas and they bubble and per crop" ]
mister burke is interested in ideas and they bubble and perk throughout
mister brookie is interested in ideas and they bubble in per crop.
mister brukey is interested in ideas and they bubble in per crop. mister brookie is interested in ideas and they bubble on per crop. mister brukey is interested in ideas and they bubble on per crop. mister brookie is interested in ideas and they bubble and per crop.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mister brookie is interested in ideas and they bubble in per crop', 'mister brukey is interested in ideas and they bubble in per crop', 'mister brookie is interested in ideas and they bubble on per crop', 'mister brukey is interested in ideas and they bubble on per crop', 'mister brookie is interested in ideas and they bubble and per crop']
[ "the russian advance made with police resistance", "the russian advance made with polish resistance", "the russian advance made with police resistance", "the russian advanced made with police resistance", "the russian advance made with polish resistance" ]
the russian advance met with polish resistance
the russian advance made with police resistance.
the russian advance made with polish resistance. the russian advance made with police resistance. the russian advanced made with police resistance. the russian advance made with polish resistance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the russian advance made with police resistance', 'the russian advance made with polish resistance', 'the russian advance made with police resistance', 'the russian advanced made with police resistance', 'the russian advance made with polish resistance']
[ "tana went to sleep in the porch hammock he remarked", "tanner went to sleep in the porch hammock he remarked", "tana went to sleep in the porch hammock you remarked", "tanna went to sleep in the porch hammock you remarked", "tanna went to sleep in the porch hammock he remarked" ]
tana went to sleep in the porch hammock he remarked
tana went to sleep in the porch hammock he remarked.
tanner went to sleep in the porch hammock he remarked. tana went to sleep in the porch hammock you remarked. tanna went to sleep in the porch hammock you remarked. tanna went to sleep in the porch hammock he remarked.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tana went to sleep in the porch hammock he remarked', 'tanner went to sleep in the porch hammock he remarked', 'tana went to sleep in the porch hammock you remarked', 'tanna went to sleep in the porch hammock you remarked', 'tanna went to sleep in the porch hammock he remarked']
[ "for full details of past dance formation see english verbs", "for full details of pass dance formation see english verbs", "for full details of bar stance formation see english verbs", "for full details of past tense formation see english verbs", "for full details of past dance formation see english words" ]
for full details of past tense formation see english verbs
for full details of past dance formation see english verbs.
for full details of pass dance formation see english verbs. for full details of bar stance formation see english verbs. for full details of past tense formation see english verbs. for full details of past dance formation see english words.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for full details of past dance formation see english verbs', 'for full details of pass dance formation see english verbs', 'for full details of bar stance formation see english verbs', 'for full details of past tense formation see english verbs', 'for full details of past dance formation see english words']
[ "the conflict was exacerbated by communication issues and cultural overreliance on alternative medicine", "the conflict was exacerbated by communication issues and cult role over reliance on alternative medicine", "the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine", "the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine", "the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine" ]
the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine
the conflict was exacerbated by communication issues and cultural overreliance on alternative medicine.
the conflict was exacerbated by communication issues and cult role over reliance on alternative medicine. the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine. the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine. the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the conflict was exacerbated by communication issues and cultural overreliance on alternative medicine', 'the conflict was exacerbated by communication issues and cult role over reliance on alternative medicine', 'the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine', 'the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine', 'the conflict was exacerbated by communication issues and cultural over reliance on alternative medicine']
[ "this page is a list of all characters in this series", "this page is a list of all characters in the series", "this page is a list of all characters in this series", "this page is a list of all characters in this series", "this page is a list of all characters in this series" ]
this page is a list of all characters in the series
this page is a list of all characters in this series.
this page is a list of all characters in the series. this page is a list of all characters in this series. this page is a list of all characters in this series. this page is a list of all characters in this series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this page is a list of all characters in this series', 'this page is a list of all characters in the series', 'this page is a list of all characters in this series', 'this page is a list of all characters in this series', 'this page is a list of all characters in this series']
[ "his first overseas assignment was in socialist federal republic of yugoslavia", "his first overseas assignment was in socialist federal republic of yugoslavia", "his first overseas assignment was in socialist federal republic of yugoslavia", "his first overseas assignment was in socialist federal republic of yugoslavia", "his first overseas assignment was in the socialist federal republic of yugoslavia" ]
his first overseas assignment was in the socialist federal republic of yugoslavia
his first overseas assignment was in socialist federal republic of yugoslavia.
his first overseas assignment was in socialist federal republic of yugoslavia. his first overseas assignment was in socialist federal republic of yugoslavia. his first overseas assignment was in socialist federal republic of yugoslavia. his first overseas assignment was in the socialist federal republic of yugoslavia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his first overseas assignment was in socialist federal republic of yugoslavia', 'his first overseas assignment was in socialist federal republic of yugoslavia', 'his first overseas assignment was in socialist federal republic of yugoslavia', 'his first overseas assignment was in socialist federal republic of yugoslavia', 'his first overseas assignment was in the socialist federal republic of yugoslavia']
[ "it has since become the longest running astronomical convention in the world", "it has since become the longest running astronomical convention in the world", "it has since become the longest running astronomical convention in the world", "it has since become the longest running astronomical convention in the world", "it has since become the longest running astronomical convention in the world" ]
it has since become the longest running astronomical convention in the world
it has since become the longest running astronomical convention in the world.
it has since become the longest running astronomical convention in the world. it has since become the longest running astronomical convention in the world. it has since become the longest running astronomical convention in the world. it has since become the longest running astronomical convention in the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has since become the longest running astronomical convention in the world', 'it has since become the longest running astronomical convention in the world', 'it has since become the longest running astronomical convention in the world', 'it has since become the longest running astronomical convention in the world', 'it has since become the longest running astronomical convention in the world']
[ "this has put the responsibility for choosing the appropriate character codec on the client", "this has put the responsibility for choosing the appropriate character codec on the client", "this has put the responsibility for choosing the appropriate character codic on the client", "this has put the responsibility for choosing the appropriate corrector codec on the client", "this has put the responsibility for choosing the appropriate character codec on the client" ]
this has put the responsibility for choosing the appropriate character codec on the client
this has put the responsibility for choosing the appropriate character codec on the client.
this has put the responsibility for choosing the appropriate character codec on the client. this has put the responsibility for choosing the appropriate character codic on the client. this has put the responsibility for choosing the appropriate corrector codec on the client. this has put the responsibility for choosing the appropriate character codec on the client.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this has put the responsibility for choosing the appropriate character codec on the client', 'this has put the responsibility for choosing the appropriate character codec on the client', 'this has put the responsibility for choosing the appropriate character codic on the client', 'this has put the responsibility for choosing the appropriate corrector codec on the client', 'this has put the responsibility for choosing the appropriate character codec on the client']
[ "the band is known for straight forward hard catured melodic punk rock", "the band is known for straightforward hard catured melodic punk rock", "the band is known for straightforward hard catchered melodic punk rock", "the band is known for straight forward hard catchered melodic punk rock", "the band is known for straightforward hard catching melodic punk rock" ]
the band is known for straightforward hard edged melodic punk rock
the band is known for straight forward hard catured melodic punk rock.
the band is known for straightforward hard catured melodic punk rock. the band is known for straightforward hard catchered melodic punk rock. the band is known for straight forward hard catchered melodic punk rock. the band is known for straightforward hard catching melodic punk rock.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the band is known for straight forward hard catured melodic punk rock', 'the band is known for straightforward hard catured melodic punk rock', 'the band is known for straightforward hard catchered melodic punk rock', 'the band is known for straight forward hard catchered melodic punk rock', 'the band is known for straightforward hard catching melodic punk rock']
[ "other hits included shorty got her eyes on me and this love", "other hits included shorty got her eyes on me and this love", "other hits included shorty got her eyes on me and this love", "other hits included shorty got her eyes on me and this love", "other hits included shorty got her eyes on me at this love" ]
other hits included shorty got her eyes on me and this luv
other hits included shorty got her eyes on me and this love.
other hits included shorty got her eyes on me and this love. other hits included shorty got her eyes on me and this love. other hits included shorty got her eyes on me and this love. other hits included shorty got her eyes on me at this love.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other hits included shorty got her eyes on me and this love', 'other hits included shorty got her eyes on me and this love', 'other hits included shorty got her eyes on me and this love', 'other hits included shorty got her eyes on me and this love', 'other hits included shorty got her eyes on me at this love']
[ "the station underwent summer modernization such as slyly ordered its original design", "the station underwent several modernizations which slightly altered its original design", "the station underwent several modernizations which slightly ordered its original design", "the station underwent several modernizations such as slyly ordered its original design", "the station underwent summer modernization such as slyley ordered its original design" ]
the station underwent several modernisations which slightly altered its original design
the station underwent summer modernization such as slyly ordered its original design.
the station underwent several modernizations which slightly altered its original design. the station underwent several modernizations which slightly ordered its original design. the station underwent several modernizations such as slyly ordered its original design. the station underwent summer modernization such as slyley ordered its original design.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the station underwent summer modernization such as slyly ordered its original design', 'the station underwent several modernizations which slightly altered its original design', 'the station underwent several modernizations which slightly ordered its original design', 'the station underwent several modernizations such as slyly ordered its original design', 'the station underwent summer modernization such as slyley ordered its original design']
[ "an unnamed widget has a blank name and no pointer is stored", "an unnamed widget has a blank name and no pointer is stored", "an unnamed widget has a blank name and no pointer is stored", "an unnamed widget has a blank name and no pointer is stored", "an unnamed widget has a blank name and no pointer is stored" ]
an unnamed widget has a blank name and no pointer is stored
an unnamed widget has a blank name and no pointer is stored.
an unnamed widget has a blank name and no pointer is stored. an unnamed widget has a blank name and no pointer is stored. an unnamed widget has a blank name and no pointer is stored. an unnamed widget has a blank name and no pointer is stored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an unnamed widget has a blank name and no pointer is stored', 'an unnamed widget has a blank name and no pointer is stored', 'an unnamed widget has a blank name and no pointer is stored', 'an unnamed widget has a blank name and no pointer is stored', 'an unnamed widget has a blank name and no pointer is stored']
[ "adamson has two daughters isabelle and sylvie", "adamson has two daughters isabella and sylvie", "adamson has two daughters isabel and sylvie", "addamsin has two daughters isabelle and sylvie", "addamsin has two daughters isabella and sylvie" ]
adamson has two daughters isabelle and sylvie
adamson has two daughters isabelle and sylvie.
adamson has two daughters isabella and sylvie. adamson has two daughters isabel and sylvie. addamsin has two daughters isabelle and sylvie. addamsin has two daughters isabella and sylvie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['adamson has two daughters isabelle and sylvie', 'adamson has two daughters isabella and sylvie', 'adamson has two daughters isabel and sylvie', 'addamsin has two daughters isabelle and sylvie', 'addamsin has two daughters isabella and sylvie']
[ "our books get started in the episode as the voice of cowboy blop", "our books get started in the episode as the voice of cowboy blop", "all our books get started in the episode as the voice of cowboy blop", "our books get started in the episode as the voice of cowboy blop", "our books get started in the episode as the voice of cowboy blob" ]
albert brooks guest starred in the episode as the voice of cowboy bob
our books get started in the episode as the voice of cowboy blop.
our books get started in the episode as the voice of cowboy blop. all our books get started in the episode as the voice of cowboy blop. our books get started in the episode as the voice of cowboy blop. our books get started in the episode as the voice of cowboy blob.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['our books get started in the episode as the voice of cowboy blop', 'our books get started in the episode as the voice of cowboy blop', 'all our books get started in the episode as the voice of cowboy blop', 'our books get started in the episode as the voice of cowboy blop', 'our books get started in the episode as the voice of cowboy blob']
[ "more opinions on the reliability of those references are also listed", "more is opinions on the reliability of those references are also listed", "more is opinions on the reliability of those references are also listed", "more opinions on the reliability of those references are also listed", "more opinions on the reliability of those references are also listed" ]
moore is opinions on the reliability of those references are also listed
more opinions on the reliability of those references are also listed.
more is opinions on the reliability of those references are also listed. more is opinions on the reliability of those references are also listed. more opinions on the reliability of those references are also listed. more opinions on the reliability of those references are also listed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['more opinions on the reliability of those references are also listed', 'more is opinions on the reliability of those references are also listed', 'more is opinions on the reliability of those references are also listed', 'more opinions on the reliability of those references are also listed', 'more opinions on the reliability of those references are also listed']
[ "hughes doctors considered his recovery almost miraculous", "hughes doctors considered his recovery almost miraculous", "hughes doctors considered his recovery almost miraculous", "hughes doctors considered his recovery almost miraculous", "hughes doctors considered his recovery almost miraculous" ]
hughes doctors considered his recovery almost miraculous
hughes doctors considered his recovery almost miraculous.
hughes doctors considered his recovery almost miraculous. hughes doctors considered his recovery almost miraculous. hughes doctors considered his recovery almost miraculous. hughes doctors considered his recovery almost miraculous.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hughes doctors considered his recovery almost miraculous', 'hughes doctors considered his recovery almost miraculous', 'hughes doctors considered his recovery almost miraculous', 'hughes doctors considered his recovery almost miraculous', 'hughes doctors considered his recovery almost miraculous']
[ "go to cousin up at the plaza", "got a cousin up at the plaza", "go to cousin up at the plaza", "go to causing up at the plaza", "got a cousin up at the plaza" ]
got a cousin up at the plaza
go to cousin up at the plaza.
got a cousin up at the plaza. go to cousin up at the plaza. go to causing up at the plaza. got a cousin up at the plaza.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['go to cousin up at the plaza', 'got a cousin up at the plaza', 'go to cousin up at the plaza', 'go to causing up at the plaza', 'got a cousin up at the plaza']
[ "leroy is music was studied for its neurological impact in the radiatic population", "lerao is music was studied for its neurological impact in the radiatic population", "leroy is music was studied for its neurological impact in the triatriotic population", "leroy is music was studied for its neurological impact in the reatriotic population", "leroy is music was studied for its neurological impact in the radiiatric population" ]
leroy is music was studied for its neurological impact in geriatric populations
leroy is music was studied for its neurological impact in the radiatic population.
lerao is music was studied for its neurological impact in the radiatic population. leroy is music was studied for its neurological impact in the triatriotic population. leroy is music was studied for its neurological impact in the reatriotic population. leroy is music was studied for its neurological impact in the radiiatric population.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['leroy is music was studied for its neurological impact in the radiatic population', 'lerao is music was studied for its neurological impact in the radiatic population', 'leroy is music was studied for its neurological impact in the triatriotic population', 'leroy is music was studied for its neurological impact in the reatriotic population', 'leroy is music was studied for its neurological impact in the radiiatric population']
[ "the province of naples is the most densely populated in italy", "the province of napples is the most densely populated in italy", "the province of neppels is the most densely populated in italy", "the province of neapols is the most densely populated in italy", "the province of neuples is the most densely populated in italy" ]
the province of naples is the most densely populated in italy
the province of naples is the most densely populated in italy.
the province of napples is the most densely populated in italy. the province of neppels is the most densely populated in italy. the province of neapols is the most densely populated in italy. the province of neuples is the most densely populated in italy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the province of naples is the most densely populated in italy', 'the province of napples is the most densely populated in italy', 'the province of neppels is the most densely populated in italy', 'the province of neapols is the most densely populated in italy', 'the province of neuples is the most densely populated in italy']
[ "at dawn a crowd was waiting to see what would happen", "at dawn a crowd was waiting to see what would happen", "at dawn a crowd was waiting to see what would happen", "at dawn a crowd was waiting to see what would happen", "at dawn a crowd was waiting to see what would happen" ]
at dawn a crowd was waiting to see what would happen
at dawn a crowd was waiting to see what would happen.
at dawn a crowd was waiting to see what would happen. at dawn a crowd was waiting to see what would happen. at dawn a crowd was waiting to see what would happen. at dawn a crowd was waiting to see what would happen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at dawn a crowd was waiting to see what would happen', 'at dawn a crowd was waiting to see what would happen', 'at dawn a crowd was waiting to see what would happen', 'at dawn a crowd was waiting to see what would happen', 'at dawn a crowd was waiting to see what would happen']
[ "the cheese produced there is called insult cheese following the counting name", "the cheese produced there is called insult cheese following the county name", "the cheese produced there is called insult cheese following the counting name", "the cheese produced there is called imsel cheese following the counting name", "the cheese produced there is called imsel cheese following the counting name" ]
the cheese produced there is called imsil cheese following the county name
the cheese produced there is called insult cheese following the counting name.
the cheese produced there is called insult cheese following the county name. the cheese produced there is called insult cheese following the counting name. the cheese produced there is called imsel cheese following the counting name. the cheese produced there is called imsel cheese following the counting name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cheese produced there is called insult cheese following the counting name', 'the cheese produced there is called insult cheese following the county name', 'the cheese produced there is called insult cheese following the counting name', 'the cheese produced there is called imsel cheese following the counting name', 'the cheese produced there is called imsel cheese following the counting name']
[ "the first well known carrier of the name was charlemagne is cousin william of galon aka", "the first well known carrier of the name was charlemagne is cousin william of galon aka", "the first well known carrier of the name was charlemagne is cousin william of galone aka", "the first well known carrier of the name was charlemagne is cousin william of gologne aka", "the first well known carrier of the name was charlemagne is cousin william of gallowane aka" ]
the first well known carrier of the name was charlemagne is cousin william of gellone a k a
the first well known carrier of the name was charlemagne is cousin william of galon aka.
the first well known carrier of the name was charlemagne is cousin william of galon aka. the first well known carrier of the name was charlemagne is cousin william of galone aka. the first well known carrier of the name was charlemagne is cousin william of gologne aka. the first well known carrier of the name was charlemagne is cousin william of gallowane aka.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first well known carrier of the name was charlemagne is cousin william of galon aka', 'the first well known carrier of the name was charlemagne is cousin william of galon aka', 'the first well known carrier of the name was charlemagne is cousin william of galone aka', 'the first well known carrier of the name was charlemagne is cousin william of gologne aka', 'the first well known carrier of the name was charlemagne is cousin william of gallowane aka']
[ "osong is credited to lead dormant", "all songs credited to lead dormant", "ossung is credited to lead dormant", "osong is credited to lead dolman", "osung is credited to lead dormant" ]
all songs credited to lee dorman
osong is credited to lead dormant.
all songs credited to lead dormant. ossung is credited to lead dormant. osong is credited to lead dolman. osung is credited to lead dormant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['osong is credited to lead dormant', 'all songs credited to lead dormant', 'ossung is credited to lead dormant', 'osong is credited to lead dolman', 'osung is credited to lead dormant']
[ "in the united kingdom viewed the spelling field and fueling", "in the united kingdom view the spelling field and fueling", "in the united kingdom we view the spelling field and fueling", "in the united kingdom viewed the spelling fuel and fueling", "in the united kingdom viewed the spelling field and fuelling" ]
in the united kingdom we use the spellings fuelled and fuelling
in the united kingdom viewed the spelling field and fueling.
in the united kingdom view the spelling field and fueling. in the united kingdom we view the spelling field and fueling. in the united kingdom viewed the spelling fuel and fueling. in the united kingdom viewed the spelling field and fuelling.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the united kingdom viewed the spelling field and fueling', 'in the united kingdom view the spelling field and fueling', 'in the united kingdom we view the spelling field and fueling', 'in the united kingdom viewed the spelling fuel and fueling', 'in the united kingdom viewed the spelling field and fuelling']
[ "corporatization was seen as a halfway house on the road to privatization", "corporatization was seen as halfway house on the road to privatization", "corporateization was seen as a halfway house on the road to privatization", "corporatization was seen as half way house on the road to privatization", "corporalization was seen as a halfway house on the road to privatization" ]
corporatization was seen as a half way house on the road to privatization
corporatization was seen as a halfway house on the road to privatization.
corporatization was seen as halfway house on the road to privatization. corporateization was seen as a halfway house on the road to privatization. corporatization was seen as half way house on the road to privatization. corporalization was seen as a halfway house on the road to privatization.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['corporatization was seen as a halfway house on the road to privatization', 'corporatization was seen as halfway house on the road to privatization', 'corporateization was seen as a halfway house on the road to privatization', 'corporatization was seen as half way house on the road to privatization', 'corporalization was seen as a halfway house on the road to privatization']
[ "the internet radio station ruchon air has its headquarters in newbury", "the internet radio station ruchon air has its headquarters in newbury", "the internet radio station rich on air has its headquarters in newbury", "the internet radio station rich on air has its headquarters in newbury", "the internet radio station reach on air has its headquarters in newbury" ]
the internet radio station reach onair has its headquarters in newbury
the internet radio station ruchon air has its headquarters in newbury.
the internet radio station ruchon air has its headquarters in newbury. the internet radio station rich on air has its headquarters in newbury. the internet radio station rich on air has its headquarters in newbury. the internet radio station reach on air has its headquarters in newbury.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the internet radio station ruchon air has its headquarters in newbury', 'the internet radio station ruchon air has its headquarters in newbury', 'the internet radio station rich on air has its headquarters in newbury', 'the internet radio station rich on air has its headquarters in newbury', 'the internet radio station reach on air has its headquarters in newbury']
[ "the company sold their location to the jacobs group", "the company sold their location to the jacobs group", "the company sold their location with the jacobs group", "the company sold their location to the shakeups group", "the company sold their location to the checkups group" ]
the company sold their location to the jacobs group
the company sold their location to the jacobs group.
the company sold their location to the jacobs group. the company sold their location with the jacobs group. the company sold their location to the shakeups group. the company sold their location to the checkups group.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company sold their location to the jacobs group', 'the company sold their location to the jacobs group', 'the company sold their location with the jacobs group', 'the company sold their location to the shakeups group', 'the company sold their location to the checkups group']
[ "in local newspapers an obituary may be published for any local resident upon death", "in local newspapers an obituary may be published for any local resident upon the death", "in local newspapers an obituary may be published for any local resident upon the death", "in local newspapers an obituary may be published for any local resident upon the death", "in local newspapers an obituary may be published for any local resident upon the death" ]
in local newspapers an obituary may be published for any local resident upon death
in local newspapers an obituary may be published for any local resident upon death.
in local newspapers an obituary may be published for any local resident upon the death. in local newspapers an obituary may be published for any local resident upon the death. in local newspapers an obituary may be published for any local resident upon the death. in local newspapers an obituary may be published for any local resident upon the death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in local newspapers an obituary may be published for any local resident upon death', 'in local newspapers an obituary may be published for any local resident upon the death', 'in local newspapers an obituary may be published for any local resident upon the death', 'in local newspapers an obituary may be published for any local resident upon the death', 'in local newspapers an obituary may be published for any local resident upon the death']
[ "in professor faitkin is honor carnegie mellon university has established the fretkin professorship", "in professor fadkin is honor carnegie mellon university has established the fadkin professorship", "in professor faitkin is honor carnegie mellon university has established the fretkin professorship", "in professor fadkins honor carnegie mellon university has established the fadkins professorship", "in professor fadkin is honor carnegie mellon university has established the fadkin professorship" ]
in professor fredkin is honor carnegie mellon university has established the fredkin professorship
in professor faitkin is honor carnegie mellon university has established the fretkin professorship.
in professor fadkin is honor carnegie mellon university has established the fadkin professorship. in professor faitkin is honor carnegie mellon university has established the fretkin professorship. in professor fadkins honor carnegie mellon university has established the fadkins professorship. in professor fadkin is honor carnegie mellon university has established the fadkin professorship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in professor faitkin is honor carnegie mellon university has established the fretkin professorship', 'in professor fadkin is honor carnegie mellon university has established the fadkin professorship', 'in professor faitkin is honor carnegie mellon university has established the fretkin professorship', 'in professor fadkins honor carnegie mellon university has established the fadkins professorship', 'in professor fadkin is honor carnegie mellon university has established the fadkin professorship']
[ "the town is known for its seventeenth century sahelian mosque", "the town is known for its seventeenth century sahilian mosque", "the town is known for its seventeenth century sahilian mosque", "the town is known for its seventeenth century sahelian mosque", "the town is known for its seventeenth century sir helian mosque" ]
the town is known for its seventeenth century sahelian mosque
the town is known for its seventeenth century sahelian mosque.
the town is known for its seventeenth century sahilian mosque. the town is known for its seventeenth century sahilian mosque. the town is known for its seventeenth century sahelian mosque. the town is known for its seventeenth century sir helian mosque.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town is known for its seventeenth century sahelian mosque', 'the town is known for its seventeenth century sahilian mosque', 'the town is known for its seventeenth century sahilian mosque', 'the town is known for its seventeenth century sahelian mosque', 'the town is known for its seventeenth century sir helian mosque']
[ "the company started in chicago and built a manufacturing plant on diversy parkway", "the company started in chicago and built a manufacturing plant on divicy parkway", "the company started in chicago and built a manufacturing plant on diversi parkway", "the company started in chicago and built a manufacturing plant on divacy parkway", "the company started in chicago and built a manufacturing plant on divisee parkway" ]
the company started in chicago and built a manufacturing plant on diversey parkway
the company started in chicago and built a manufacturing plant on diversy parkway.
the company started in chicago and built a manufacturing plant on divicy parkway. the company started in chicago and built a manufacturing plant on diversi parkway. the company started in chicago and built a manufacturing plant on divacy parkway. the company started in chicago and built a manufacturing plant on divisee parkway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company started in chicago and built a manufacturing plant on diversy parkway', 'the company started in chicago and built a manufacturing plant on divicy parkway', 'the company started in chicago and built a manufacturing plant on diversi parkway', 'the company started in chicago and built a manufacturing plant on divacy parkway', 'the company started in chicago and built a manufacturing plant on divisee parkway']
[ "the club has also had some international success", "the club has also had some international success", "the club has also had some international success", "the club has also had some international success", "the club has also had some international success" ]
the club has also had some international success
the club has also had some international success.
the club has also had some international success. the club has also had some international success. the club has also had some international success. the club has also had some international success.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the club has also had some international success', 'the club has also had some international success', 'the club has also had some international success', 'the club has also had some international success', 'the club has also had some international success']
[ "as mary is the day is long", "as mary is the day is long", "as mary is the day is long", "as mary is the day is long", "as mary is the day is long" ]
as merry as the day is long
as mary is the day is long.
as mary is the day is long. as mary is the day is long. as mary is the day is long. as mary is the day is long.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as mary is the day is long', 'as mary is the day is long', 'as mary is the day is long', 'as mary is the day is long', 'as mary is the day is long']
[ "the cops sitting on his police bike", "a cop sitting on his police bike", "the cops sitting on his police bike", "a cop sitting on his police bike", "the cop is sitting on his police bike" ]
a cop sitting on his police bike
the cops sitting on his police bike.
a cop sitting on his police bike. the cops sitting on his police bike. a cop sitting on his police bike. the cop is sitting on his police bike.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cops sitting on his police bike', 'a cop sitting on his police bike', 'the cops sitting on his police bike', 'a cop sitting on his police bike', 'the cop is sitting on his police bike']
[ "his maternal grandfather had been head groundskeeper at chi cout", "his maternal grandfather had been head groundskeeper at chi count", "his maternal grandfather had been head grounds keeper at chi cout", "his maternal grandfather had been head groundskeeper at kaikout", "his maternal grandfather had been head groundskeeper at kaik out" ]
his maternal grandfather had been head groundskeeper at kykuit
his maternal grandfather had been head groundskeeper at chi cout.
his maternal grandfather had been head groundskeeper at chi count. his maternal grandfather had been head grounds keeper at chi cout. his maternal grandfather had been head groundskeeper at kaikout. his maternal grandfather had been head groundskeeper at kaik out.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his maternal grandfather had been head groundskeeper at chi cout', 'his maternal grandfather had been head groundskeeper at chi count', 'his maternal grandfather had been head grounds keeper at chi cout', 'his maternal grandfather had been head groundskeeper at kaikout', 'his maternal grandfather had been head groundskeeper at kaik out']
[ "la luga fua fua being the main central meeting malai of all of atua district", "la luga fua fua being the main central meeting malai of all of atua district", "la luga fua fua being the main central meeting malai of all of atua district", "la luga fua fua being the main central meeting malai of all of artua district", "la luga fua fua being the main central meeting malai of all of atoa district" ]
lalogafuafua being the main central meeting malae of all of atua district
la luga fua fua being the main central meeting malai of all of atua district.
la luga fua fua being the main central meeting malai of all of atua district. la luga fua fua being the main central meeting malai of all of atua district. la luga fua fua being the main central meeting malai of all of artua district. la luga fua fua being the main central meeting malai of all of atoa district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['la luga fua fua being the main central meeting malai of all of atua district', 'la luga fua fua being the main central meeting malai of all of atua district', 'la luga fua fua being the main central meeting malai of all of atua district', 'la luga fua fua being the main central meeting malai of all of artua district', 'la luga fua fua being the main central meeting malai of all of atoa district']
[ "discoordained hearing status can also pose practical problems", "discordant hearing status can also pose practical problems", "descordant hearing status can also pose practical problems", "descordant hearing stay less canoes of those practical problems", "discordant hearing stay less canoeservous practical problems" ]
discordant hearing status can also pose practical problems
discoordained hearing status can also pose practical problems.
discordant hearing status can also pose practical problems. descordant hearing status can also pose practical problems. descordant hearing stay less canoes of those practical problems. discordant hearing stay less canoeservous practical problems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['discoordained hearing status can also pose practical problems', 'discordant hearing status can also pose practical problems', 'descordant hearing status can also pose practical problems', 'descordant hearing stay less canoes of those practical problems', 'discordant hearing stay less canoeservous practical problems']
[ "he also looked into how the blood and immunoglobin react with cellular surfaces", "he also looked into how the bloods and munich labans react with cellular surfaces", "he also looked into how the blood immunoglobin react with cellular surfaces", "he also looked into how the blood immunoglobin reacts with cellular surfaces", "he also looked into how the bloods and munich lopens react with cellular surfaces" ]
he also looked into how the blood is immunoglobins react with cellular surfaces
he also looked into how the blood and immunoglobin react with cellular surfaces.
he also looked into how the bloods and munich labans react with cellular surfaces. he also looked into how the blood immunoglobin react with cellular surfaces. he also looked into how the blood immunoglobin reacts with cellular surfaces. he also looked into how the bloods and munich lopens react with cellular surfaces.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also looked into how the blood and immunoglobin react with cellular surfaces', 'he also looked into how the bloods and munich labans react with cellular surfaces', 'he also looked into how the blood immunoglobin react with cellular surfaces', 'he also looked into how the blood immunoglobin reacts with cellular surfaces', 'he also looked into how the bloods and munich lopens react with cellular surfaces']
[ "and sani is married with three children and resides in park ridge illinois", "and sani is married with three children and resides in park ridge illinois", "and sani is married with three children and resides in park ridge illinois", "and saani is married with three children and resides in park ridge illinois", "and sani is married with three children and resides in park ridge illinois" ]
ansani is married with three children and resides in park ridge illinois
and sani is married with three children and resides in park ridge illinois.
and sani is married with three children and resides in park ridge illinois. and sani is married with three children and resides in park ridge illinois. and saani is married with three children and resides in park ridge illinois. and sani is married with three children and resides in park ridge illinois.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and sani is married with three children and resides in park ridge illinois', 'and sani is married with three children and resides in park ridge illinois', 'and sani is married with three children and resides in park ridge illinois', 'and saani is married with three children and resides in park ridge illinois', 'and sani is married with three children and resides in park ridge illinois']
[ "a man in a green shirt holds out a clipboard for a woman in pink is attention", "a man in a green shirt holds out a clipboard for a woman in pink is attention", "a man in a green shirt holds out a clipboard for a woman in pinks attention", "a man in a green shirt holds out a clipboard for a woman in pink is attention", "a man in a green shirt holds out a clipboard for a woman in pink is attention" ]
a man in a green shirt holds out a clipboard for a woman in pink is attention
a man in a green shirt holds out a clipboard for a woman in pink is attention.
a man in a green shirt holds out a clipboard for a woman in pink is attention. a man in a green shirt holds out a clipboard for a woman in pinks attention. a man in a green shirt holds out a clipboard for a woman in pink is attention. a man in a green shirt holds out a clipboard for a woman in pink is attention.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man in a green shirt holds out a clipboard for a woman in pink is attention', 'a man in a green shirt holds out a clipboard for a woman in pink is attention', 'a man in a green shirt holds out a clipboard for a woman in pinks attention', 'a man in a green shirt holds out a clipboard for a woman in pink is attention', 'a man in a green shirt holds out a clipboard for a woman in pink is attention']
[ "the source is close to the highest peak in the chuban mountains", "the source is close to the highest peak in the truman mountains", "the source is close to the highest peak in the turbine mountains", "the source is close to the highest peak in the urban mountains", "the source is close to the highest peak in the turban mountains" ]
the source is close to the highest peak in the cibin mountains
the source is close to the highest peak in the chuban mountains.
the source is close to the highest peak in the truman mountains. the source is close to the highest peak in the turbine mountains. the source is close to the highest peak in the urban mountains. the source is close to the highest peak in the turban mountains.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the source is close to the highest peak in the chuban mountains', 'the source is close to the highest peak in the truman mountains', 'the source is close to the highest peak in the turbine mountains', 'the source is close to the highest peak in the urban mountains', 'the source is close to the highest peak in the turban mountains']
[ "software visualization uses a variety of information available about software systems", "software visualization uses a variety of information available about software systems", "software visualization uses a variety of information available about software systems", "software visualization uses a variety of information available about software systems", "software visualization is as a variety of information available about software systems" ]
software visualization uses a variety of information available about software systems
software visualization uses a variety of information available about software systems.
software visualization uses a variety of information available about software systems. software visualization uses a variety of information available about software systems. software visualization uses a variety of information available about software systems. software visualization is as a variety of information available about software systems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['software visualization uses a variety of information available about software systems', 'software visualization uses a variety of information available about software systems', 'software visualization uses a variety of information available about software systems', 'software visualization uses a variety of information available about software systems', 'software visualization is as a variety of information available about software systems']
[ "he did extensive work in the analysis of proteins polypeptides and enzymes", "he did extensive work in the analysis of proteins polypeptides and enzymes", "he did extensive work in the analysis of proteins polypeptides and enzymes", "he did extensive work in the analysis of proteins polypeptides and enzymes", "he did extensive work in the analysis of proteins polypeptides and enzymes" ]
he did extensive work in the analysis of proteins polypeptides and enzymes
he did extensive work in the analysis of proteins polypeptides and enzymes.
he did extensive work in the analysis of proteins polypeptides and enzymes. he did extensive work in the analysis of proteins polypeptides and enzymes. he did extensive work in the analysis of proteins polypeptides and enzymes. he did extensive work in the analysis of proteins polypeptides and enzymes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he did extensive work in the analysis of proteins polypeptides and enzymes', 'he did extensive work in the analysis of proteins polypeptides and enzymes', 'he did extensive work in the analysis of proteins polypeptides and enzymes', 'he did extensive work in the analysis of proteins polypeptides and enzymes', 'he did extensive work in the analysis of proteins polypeptides and enzymes']
[ "during the slovenian independence he was the secretary of information of slovenia", "during this slovenian independence he was the secretary of information of slovenia", "during this slovenian independence he was the secretary of information of slovenian", "during the slovenian independence he was the secretary of information of slovenian", "during the slovenian independence war he was the secretary of information of slovenia" ]
during the slovenian independence war he was the secretary of information of slovenia
during the slovenian independence he was the secretary of information of slovenia.
during this slovenian independence he was the secretary of information of slovenia. during this slovenian independence he was the secretary of information of slovenian. during the slovenian independence he was the secretary of information of slovenian. during the slovenian independence war he was the secretary of information of slovenia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during the slovenian independence he was the secretary of information of slovenia', 'during this slovenian independence he was the secretary of information of slovenia', 'during this slovenian independence he was the secretary of information of slovenian', 'during the slovenian independence he was the secretary of information of slovenian', 'during the slovenian independence war he was the secretary of information of slovenia']
[ "both were arrested and taken to a jail at celi", "both were arrested and taken to a jail at sally", "both were arrested and taken to a jail at selie", "both were arrested and taken to a jail at celly", "both was arrested and taken to a jail at celi" ]
bothe was arrested and taken to a jail at celle
both were arrested and taken to a jail at celi.
both were arrested and taken to a jail at sally. both were arrested and taken to a jail at selie. both were arrested and taken to a jail at celly. both was arrested and taken to a jail at celi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both were arrested and taken to a jail at celi', 'both were arrested and taken to a jail at sally', 'both were arrested and taken to a jail at selie', 'both were arrested and taken to a jail at celly', 'both was arrested and taken to a jail at celi']
[ "the modern village grew up around the coaching in an otter burned tower", "the modern village grew up around the coaching in an ottoman tower", "the modern village grew up around the coaching in an otterburn tower", "the modern village grew up around the coaching in an otterburn tower", "the modern village grew up around the coaching in an otter burn tower" ]
the modern village grew up around a coaching inn and otterburn tower
the modern village grew up around the coaching in an otter burned tower.
the modern village grew up around the coaching in an ottoman tower. the modern village grew up around the coaching in an otterburn tower. the modern village grew up around the coaching in an otterburn tower. the modern village grew up around the coaching in an otter burn tower.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the modern village grew up around the coaching in an otter burned tower', 'the modern village grew up around the coaching in an ottoman tower', 'the modern village grew up around the coaching in an otterburn tower', 'the modern village grew up around the coaching in an otterburn tower', 'the modern village grew up around the coaching in an otter burn tower']
[ "on both doors young natureal is charles darwin who collected his specimens on shore", "on both doors young the nature of this charles darwin who collected his specimens on shore", "on both doors young nature at least charles darwin who collected his specimens on shore", "on both doors young naturedisk charles darwin who collected his specimens on shore", "on both doors young natureal is charles david who collected his specimens on shore" ]
on board was the young naturalist charles darwin who collected specimens on shore
on both doors young natureal is charles darwin who collected his specimens on shore.
on both doors young the nature of this charles darwin who collected his specimens on shore. on both doors young nature at least charles darwin who collected his specimens on shore. on both doors young naturedisk charles darwin who collected his specimens on shore. on both doors young natureal is charles david who collected his specimens on shore.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on both doors young natureal is charles darwin who collected his specimens on shore', 'on both doors young the nature of this charles darwin who collected his specimens on shore', 'on both doors young nature at least charles darwin who collected his specimens on shore', 'on both doors young naturedisk charles darwin who collected his specimens on shore', 'on both doors young natureal is charles david who collected his specimens on shore']
[ "it was witchfine is version of stria", "it was witch fine is version of stria", "it was witchfiren is version of stria", "it was witchfine is version of austria", "it was witchfine is version austria" ]
it was witchfynde is first show in austria
it was witchfine is version of stria.
it was witch fine is version of stria. it was witchfiren is version of stria. it was witchfine is version of austria. it was witchfine is version austria.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was witchfine is version of stria', 'it was witch fine is version of stria', 'it was witchfiren is version of stria', 'it was witchfine is version of austria', 'it was witchfine is version austria']
[ "it also contains the scores of all of the games in the series", "it also contains the scores of all the games in the series", "it also contains the scores of all of the games in the series", "it also contains the scores of all of the games in the series", "it also contains the scores of all of the games in the series" ]
it also contains the scores of all of the games in the series
it also contains the scores of all of the games in the series.
it also contains the scores of all the games in the series. it also contains the scores of all of the games in the series. it also contains the scores of all of the games in the series. it also contains the scores of all of the games in the series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also contains the scores of all of the games in the series', 'it also contains the scores of all the games in the series', 'it also contains the scores of all of the games in the series', 'it also contains the scores of all of the games in the series', 'it also contains the scores of all of the games in the series']
[ "as both teams were undefeated this match became a virtual world cup final", "as both teams were undefeated this match became a virtual world cup final", "as both teams were undefeated this match became a virtual world cup final", "as both teams were undefeated this match became a virtual world cup final", "as both teams were undefeated this match became a virtual world cup final" ]
as both teams were undefeated this match became a virtual world cup final
as both teams were undefeated this match became a virtual world cup final.
as both teams were undefeated this match became a virtual world cup final. as both teams were undefeated this match became a virtual world cup final. as both teams were undefeated this match became a virtual world cup final. as both teams were undefeated this match became a virtual world cup final.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as both teams were undefeated this match became a virtual world cup final', 'as both teams were undefeated this match became a virtual world cup final', 'as both teams were undefeated this match became a virtual world cup final', 'as both teams were undefeated this match became a virtual world cup final', 'as both teams were undefeated this match became a virtual world cup final']
[ "the soviet subsequently released berghoon", "the soviet subsequently released berghorn", "the soviet subsequently released berghun", "the soviet subsequently released bergheon", "the soviet subsequently released bergerun" ]
the soviets subsequently released barghoorn
the soviet subsequently released berghoon.
the soviet subsequently released berghorn. the soviet subsequently released berghun. the soviet subsequently released bergheon. the soviet subsequently released bergerun.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the soviet subsequently released berghoon', 'the soviet subsequently released berghorn', 'the soviet subsequently released berghun', 'the soviet subsequently released bergheon', 'the soviet subsequently released bergerun']
[ "the cd of the enter is trying to develop the former airfield", "the cd of the inner is trying to develop the former airfield", "the cd of the ener is trying to develop the former airfield", "the city of vienna is trying to develop the former airfield", "the cdo vienna is trying to develop the former airfield" ]
the city of vienna is trying to develop the former airfield
the cd of the enter is trying to develop the former airfield.
the cd of the inner is trying to develop the former airfield. the cd of the ener is trying to develop the former airfield. the city of vienna is trying to develop the former airfield. the cdo vienna is trying to develop the former airfield.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cd of the enter is trying to develop the former airfield', 'the cd of the inner is trying to develop the former airfield', 'the cd of the ener is trying to develop the former airfield', 'the city of vienna is trying to develop the former airfield', 'the cdo vienna is trying to develop the former airfield']
[ "additional programs can be used for this call in microsoft windows", "additional programs can be used for this call in microsoft windows", "additional programs can be used for this call in microsoft windows", "additional programs can be used for this call in microsoft windows", "additional programs can be used for this call in microsoft windows" ]
additional programs can be used for this goal in microsoft windows
additional programs can be used for this call in microsoft windows.
additional programs can be used for this call in microsoft windows. additional programs can be used for this call in microsoft windows. additional programs can be used for this call in microsoft windows. additional programs can be used for this call in microsoft windows.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['additional programs can be used for this call in microsoft windows', 'additional programs can be used for this call in microsoft windows', 'additional programs can be used for this call in microsoft windows', 'additional programs can be used for this call in microsoft windows', 'additional programs can be used for this call in microsoft windows']
[ "the failure to reinstate the uptake rule is not acceptable", "the failure to reinstate the uptick rule is not acceptable", "the failure to reinstate the up to roll is not acceptable", "the failure to reinstate the up to crawl is not acceptable", "the failure to reinstate the uptoick rule is not acceptable" ]
the failure to reinstate the uptick rule is not acceptable
the failure to reinstate the uptake rule is not acceptable.
the failure to reinstate the uptick rule is not acceptable. the failure to reinstate the up to roll is not acceptable. the failure to reinstate the up to crawl is not acceptable. the failure to reinstate the uptoick rule is not acceptable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the failure to reinstate the uptake rule is not acceptable', 'the failure to reinstate the uptick rule is not acceptable', 'the failure to reinstate the up to roll is not acceptable', 'the failure to reinstate the up to crawl is not acceptable', 'the failure to reinstate the uptoick rule is not acceptable']
[ "although sometimes describe this expressionistic barrier was not an expressionist panel", "although sometimes described as the expressionistic barrier was not an expressionist panel", "although sometimes describe this expressionistic barrier was not an expressionist pain", "although sometimes described as an expressionistic barrier was not an expressionist pain", "although sometimes described as the expressionistic barrier was not an expressionist pain" ]
although sometimes described as expressionistic auerbach is not an expressionist painter
although sometimes describe this expressionistic barrier was not an expressionist panel.
although sometimes described as the expressionistic barrier was not an expressionist panel. although sometimes describe this expressionistic barrier was not an expressionist pain. although sometimes described as an expressionistic barrier was not an expressionist pain. although sometimes described as the expressionistic barrier was not an expressionist pain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['although sometimes describe this expressionistic barrier was not an expressionist panel', 'although sometimes described as the expressionistic barrier was not an expressionist panel', 'although sometimes describe this expressionistic barrier was not an expressionist pain', 'although sometimes described as an expressionistic barrier was not an expressionist pain', 'although sometimes described as the expressionistic barrier was not an expressionist pain']
[ "fourteen other chain combinations have been identified in vivo", "fourteen other chain combinations have been identified in vivo", "fourteen other chain combinations have been identified in vivo", "fourteen other chain combinations have been identified in vivo", "fourteen other chain combinations have been identified in vivo" ]
fourteen other chain combinations have been identified in vivo
fourteen other chain combinations have been identified in vivo.
fourteen other chain combinations have been identified in vivo. fourteen other chain combinations have been identified in vivo. fourteen other chain combinations have been identified in vivo. fourteen other chain combinations have been identified in vivo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fourteen other chain combinations have been identified in vivo', 'fourteen other chain combinations have been identified in vivo', 'fourteen other chain combinations have been identified in vivo', 'fourteen other chain combinations have been identified in vivo', 'fourteen other chain combinations have been identified in vivo']
[ "mixed depositive reviews have appeared in the encyclopedium battalion", "mixed positive reviews have appeared in the encyclopaedium battalion", "mixed compositive reviews have appeared in the encyclopedium battalion", "mixed depositive reviews have appeared in the encyclopedium battalion", "mixed depositive reviews have appeared in the encyclopaedium battalion" ]
mixed to positive reviews have appeared in the encyclopedia metallum
mixed depositive reviews have appeared in the encyclopedium battalion.
mixed positive reviews have appeared in the encyclopaedium battalion. mixed compositive reviews have appeared in the encyclopedium battalion. mixed depositive reviews have appeared in the encyclopedium battalion. mixed depositive reviews have appeared in the encyclopaedium battalion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mixed depositive reviews have appeared in the encyclopedium battalion', 'mixed positive reviews have appeared in the encyclopaedium battalion', 'mixed compositive reviews have appeared in the encyclopedium battalion', 'mixed depositive reviews have appeared in the encyclopedium battalion', 'mixed depositive reviews have appeared in the encyclopaedium battalion']
[ "the elbows should be bent very slightly", "the elbows should be bent very slightly", "the elbows should be bent very slightly", "the elbows should be bent very slightly", "the elbows should be bent very slightly" ]
the elbows should be bent very slightly
the elbows should be bent very slightly.
the elbows should be bent very slightly. the elbows should be bent very slightly. the elbows should be bent very slightly. the elbows should be bent very slightly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the elbows should be bent very slightly', 'the elbows should be bent very slightly', 'the elbows should be bent very slightly', 'the elbows should be bent very slightly', 'the elbows should be bent very slightly']
[ "their root zones are separate requisites for bacterial communities", "their root zones are superb requisites for bacterial communities", "their root zones are support requisites for bacterial communities", "their root zones are superb recosites for bacterial communities", "their upzones are superb requisites for bacterial communities" ]
their root zones are superb micro sites for bacterial communities
their root zones are separate requisites for bacterial communities.
their root zones are superb requisites for bacterial communities. their root zones are support requisites for bacterial communities. their root zones are superb recosites for bacterial communities. their upzones are superb requisites for bacterial communities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their root zones are separate requisites for bacterial communities', 'their root zones are superb requisites for bacterial communities', 'their root zones are support requisites for bacterial communities', 'their root zones are superb recosites for bacterial communities', 'their upzones are superb requisites for bacterial communities']
[ "the growth of the collection was supported by private donations and various foundations", "the growth of the collection is supported by private donations and various foundations", "the growth of the collection the supported by private donations and various foundations", "the growth of the collection was supported by private donations and various fundations", "the growth of the collection was supported by private donations and various fundations" ]
the growth of the collection was supported by private donations and various foundations
the growth of the collection was supported by private donations and various foundations.
the growth of the collection is supported by private donations and various foundations. the growth of the collection the supported by private donations and various foundations. the growth of the collection was supported by private donations and various fundations. the growth of the collection was supported by private donations and various fundations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the growth of the collection was supported by private donations and various foundations', 'the growth of the collection is supported by private donations and various foundations', 'the growth of the collection the supported by private donations and various foundations', 'the growth of the collection was supported by private donations and various fundations', 'the growth of the collection was supported by private donations and various fundations']
[ "the songs are largely based on mayor is personal experiences", "the songs are largely based on my personal experiences", "the songs are largely based on mayor is personal experiences", "the songs are largely based on mayor is personal experiences", "the songs are largely based on major personal experiences" ]
the songs are largely based on mayer is personal experiences
the songs are largely based on mayor is personal experiences.
the songs are largely based on my personal experiences. the songs are largely based on mayor is personal experiences. the songs are largely based on mayor is personal experiences. the songs are largely based on major personal experiences.
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 songs are largely based on mayor is personal experiences', 'the songs are largely based on my personal experiences', 'the songs are largely based on mayor is personal experiences', 'the songs are largely based on mayor is personal experiences', 'the songs are largely based on major personal experiences']
[ "the district has one elementary school one middle school and one high school", "the district has one elementary school one middle school and one high school", "the district has one elementary school one middle school and one high school", "the district has one elementary school one middle school and one high school", "the district has one elementary school one middle school and one high school" ]
the district has one elementary school one middle school and one high school
the district has one elementary school one middle school and one high school.
the district has one elementary school one middle school and one high school. the district has one elementary school one middle school and one high school. the district has one elementary school one middle school and one high school. the district has one elementary school one middle school and one high school.
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 district has one elementary school one middle school and one high school', 'the district has one elementary school one middle school and one high school', 'the district has one elementary school one middle school and one high school', 'the district has one elementary school one middle school and one high school', 'the district has one elementary school one middle school and one high school']
[ "hill county contains beaver creek park the largest county park in the nation", "heal county contains beaver creek park the largest county park in the nation", "heel county contains beaver creek park the largest county park in the nation", "hill county contains beaver creek park the largest county park in the nation", "hill county contains beaver creek park the largest county park in the nation" ]
hill county contains beaver creek park the largest county park in the nation
hill county contains beaver creek park the largest county park in the nation.
heal county contains beaver creek park the largest county park in the nation. heel county contains beaver creek park the largest county park in the nation. hill county contains beaver creek park the largest county park in the nation. hill county contains beaver creek park the largest county park in the nation.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hill county contains beaver creek park the largest county park in the nation', 'heal county contains beaver creek park the largest county park in the nation', 'heel county contains beaver creek park the largest county park in the nation', 'hill county contains beaver creek park the largest county park in the nation', 'hill county contains beaver creek park the largest county park in the nation']
[ "however as before she soon returned to her own work", "however as before she soon returned to her own work", "however as before she soon returned to her own work", "however as before she soon returned to her own work", "however as before she soon returned to her own work" ]
however as before she soon returned to her own work
however as before she soon returned to her own work.
however as before she soon returned to her own work. however as before she soon returned to her own work. however as before she soon returned to her own work. however as before she soon returned to her own work.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however as before she soon returned to her own work', 'however as before she soon returned to her own work', 'however as before she soon returned to her own work', 'however as before she soon returned to her own work', 'however as before she soon returned to her own work']
[ "a reaction turbine needs to fully contain the water during energy transfer", "a reaction turbine needs to fully contain the water during an energy transfer", "a reaction turbine needs to fully contain the water during nng transfer", "a reaction turbine needs to fully contain the water during energy transfer", "a reaction turbine needs to fully contain the water during energy transfer" ]
a reaction turbine needs to fully contain the water during energy transfer
a reaction turbine needs to fully contain the water during energy transfer.
a reaction turbine needs to fully contain the water during an energy transfer. a reaction turbine needs to fully contain the water during nng transfer. a reaction turbine needs to fully contain the water during energy transfer. a reaction turbine needs to fully contain the water during energy transfer.
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 reaction turbine needs to fully contain the water during energy transfer', 'a reaction turbine needs to fully contain the water during an energy transfer', 'a reaction turbine needs to fully contain the water during nng transfer', 'a reaction turbine needs to fully contain the water during energy transfer', 'a reaction turbine needs to fully contain the water during energy transfer']
[ "it is the third smallest county in nevada by area", "it is the third smallest county in nevada by area", "it is the threerd smallest county in nevada by area", "it is the third smallest county in nevada by area", "it is the third smallest county in nevada by area" ]
it is the third smallest county in nevada by area
it is the third smallest county in nevada by area.
it is the third smallest county in nevada by area. it is the threerd smallest county in nevada by area. it is the third smallest county in nevada by area. it is the third smallest county in nevada by area.
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 the third smallest county in nevada by area', 'it is the third smallest county in nevada by area', 'it is the threerd smallest county in nevada by area', 'it is the third smallest county in nevada by area', 'it is the third smallest county in nevada by area']
[ "the barrel can be changed only after lifting open the feed tray cover", "the barrel can be changed only after lifting open the feed tray cover", "the barrel can be changed only after lifting open the feed tray cover", "the barrel can be changed only after lifting open the feed tray cover", "the barrel can be changed only after lifting open the feed tray cover" ]
the barrel can be changed only after lifting open the feed tray cover
the barrel can be changed only after lifting open the feed tray cover.
the barrel can be changed only after lifting open the feed tray cover. the barrel can be changed only after lifting open the feed tray cover. the barrel can be changed only after lifting open the feed tray cover. the barrel can be changed only after lifting open the feed tray cover.
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 barrel can be changed only after lifting open the feed tray cover', 'the barrel can be changed only after lifting open the feed tray cover', 'the barrel can be changed only after lifting open the feed tray cover', 'the barrel can be changed only after lifting open the feed tray cover', 'the barrel can be changed only after lifting open the feed tray cover']
[ "monday night raw will replace the showroom is time slot the following week", "monday night raw will replace the showroom is time slot the following week", "monday night raw will replace the showman is time slot the following week", "monday night raw will replace the showroom is time slot for the following week", "monday night raw will replace the showroom is time slot for the following week" ]
monday night raw replaced the show in its timeslot the following week
monday night raw will replace the showroom is time slot the following week.
monday night raw will replace the showroom is time slot the following week. monday night raw will replace the showman is time slot the following week. monday night raw will replace the showroom is time slot for the following week. monday night raw will replace the showroom is time slot for the following week.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['monday night raw will replace the showroom is time slot the following week', 'monday night raw will replace the showroom is time slot the following week', 'monday night raw will replace the showman is time slot the following week', 'monday night raw will replace the showroom is time slot for the following week', 'monday night raw will replace the showroom is time slot for the following week']
[ "made the star was approximate as to the delicious north pole as far as it is now", "made the star was approximate as to the delicious north pole as far as it is now", "made the star was approximate as to the delicious north port as far as it is now", "made the staff was approximate as to the delicious north pole as far as it is now", "made the staff was approximate as to the delicious north port as far as it is now" ]
neither star was as proximitous to the celestial north pole as polaris is now
made the star was approximate as to the delicious north pole as far as it is now.
made the star was approximate as to the delicious north pole as far as it is now. made the star was approximate as to the delicious north port as far as it is now. made the staff was approximate as to the delicious north pole as far as it is now. made the staff was approximate as to the delicious north port as far as it is now.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['made the star was approximate as to the delicious north pole as far as it is now', 'made the star was approximate as to the delicious north pole as far as it is now', 'made the star was approximate as to the delicious north port as far as it is now', 'made the staff was approximate as to the delicious north pole as far as it is now', 'made the staff was approximate as to the delicious north port as far as it is now']
[ "hinduism and buddhism are the major religions", "hinduism and buddhism are the major religions", "hinduism and buddhism are the major religions", "hinduism and buddhism are the major religions", "hinduism and buddhism are the major religions" ]
hinduism and buddhism are the major religions
hinduism and buddhism are the major religions.
hinduism and buddhism are the major religions. hinduism and buddhism are the major religions. hinduism and buddhism are the major religions. hinduism and buddhism are the major religions.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hinduism and buddhism are the major religions', 'hinduism and buddhism are the major religions', 'hinduism and buddhism are the major religions', 'hinduism and buddhism are the major religions', 'hinduism and buddhism are the major religions']