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[ "isotropic etching may occur unavoidably or it may be desirable for process reasons", "isotropic etching may occur unavoidably or it may be desirable for process reasons", "isotropic etching may occur unnevoidably or it may be desirable for process reasons", "isotropic etching may occur unavoidably or it may be desirable for processed reasons", "isotropic etching may occur unnevoidably or it may be desirable for process reasons" ]
isotropic etching may occur unavoidably or it may be desirable for process reasons
isotropic etching may occur unavoidably or it may be desirable for process reasons.
isotropic etching may occur unavoidably or it may be desirable for process reasons. isotropic etching may occur unnevoidably or it may be desirable for process reasons. isotropic etching may occur unavoidably or it may be desirable for processed reasons. isotropic etching may occur unnevoidably or it may be desirable for process reasons.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['isotropic etching may occur unavoidably or it may be desirable for process reasons', 'isotropic etching may occur unavoidably or it may be desirable for process reasons', 'isotropic etching may occur unnevoidably or it may be desirable for process reasons', 'isotropic etching may occur unavoidably or it may be desirable for processed reasons', 'isotropic etching may occur unnevoidably or it may be desirable for process reasons']
[ "despite its title none of the film was shot in brazil", "despite its title none of the film is shot in brazil", "despite it is title none of the film was shot in brazil", "despite its title none of the film was shot in brazil", "despite its title none of the film is shot in brazil" ]
despite its title none of the film was shot in brazil
despite its title none of the film was shot in brazil.
despite its title none of the film is shot in brazil. despite it is title none of the film was shot in brazil. despite its title none of the film was shot in brazil. despite its title none of the film is shot in brazil.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['despite its title none of the film was shot in brazil', 'despite its title none of the film is shot in brazil', 'despite it is title none of the film was shot in brazil', 'despite its title none of the film was shot in brazil', 'despite its title none of the film is shot in brazil']
[ "all of them are available for free download from the jet audio website", "all of the available for free download from the jet audio website", "all of them are available for free download from the jet audio website", "all of them are available for free download from the jet audio website", "all of the available for free download from the jet audio website" ]
all of the above are available for free download from the jetaudio website
all of them are available for free download from the jet audio website.
all of the available for free download from the jet audio website. all of them are available for free download from the jet audio website. all of them are available for free download from the jet audio website. all of the available for free download from the jet audio website.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all of them are available for free download from the jet audio website', 'all of the available for free download from the jet audio website', 'all of them are available for free download from the jet audio website', 'all of them are available for free download from the jet audio website', 'all of the available for free download from the jet audio website']
[ "ultimately the other contestants is jarrisette and rogers and here is him", "ultimately the other contestants is yarrisette and rogers and here is him", "ultimately the other contestants is very sick and nauseous and here is him", "ultimately the other contestants is very sick and nauseous and care for them", "ultimately the other contestants are jealous of them and here is him" ]
alternatively the other contestants were jealous of androgeus and killed him
ultimately the other contestants is jarrisette and rogers and here is him.
ultimately the other contestants is yarrisette and rogers and here is him. ultimately the other contestants is very sick and nauseous and here is him. ultimately the other contestants is very sick and nauseous and care for them. ultimately the other contestants are jealous of them and here is him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ultimately the other contestants is jarrisette and rogers and here is him', 'ultimately the other contestants is yarrisette and rogers and here is him', 'ultimately the other contestants is very sick and nauseous and here is him', 'ultimately the other contestants is very sick and nauseous and care for them', 'ultimately the other contestants are jealous of them and here is him']
[ "add the artist to my top classical playlist", "add the artist to my top classical playlist", "add the artist to my top classical playlist", "add the artists to my top classical playlist", "add the artist to my top classical playlist" ]
add the artist to my top classical playlist
add the artist to my top classical playlist.
add the artist to my top classical playlist. add the artist to my top classical playlist. add the artists to my top classical playlist. add the artist to my top classical playlist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['add the artist to my top classical playlist', 'add the artist to my top classical playlist', 'add the artist to my top classical playlist', 'add the artists to my top classical playlist', 'add the artist to my top classical playlist']
[ "he then continues to create with five national league teams in four more seasons", "he then continues to create with five national league teams and four more seasons", "he then continued his career with five national league teams and four more seasons", "he then continued his career with five national league teams in four more seasons", "he did not continue his career with five national league teams in four more seasons" ]
he then continued his career with five national league teams in four more seasons
he then continues to create with five national league teams in four more seasons.
he then continues to create with five national league teams and four more seasons. he then continued his career with five national league teams and four more seasons. he then continued his career with five national league teams in four more seasons. he did not continue his career with five national league teams in four more seasons.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then continues to create with five national league teams in four more seasons', 'he then continues to create with five national league teams and four more seasons', 'he then continued his career with five national league teams and four more seasons', 'he then continued his career with five national league teams in four more seasons', 'he did not continue his career with five national league teams in four more seasons']
[ "statistics is widely used in quantitative psychological research", "statistics is widely used in quantitative psychological research", "statistics is widely used in quantitative psychological research", "statistics is widely used in quantitative psychological research", "statistics is widely used in quantitative psychological research" ]
statistics is widely used in quantitative psychological research
statistics is widely used in quantitative psychological research.
statistics is widely used in quantitative psychological research. statistics is widely used in quantitative psychological research. statistics is widely used in quantitative psychological research. statistics is widely used in quantitative psychological research.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['statistics is widely used in quantitative psychological research', 'statistics is widely used in quantitative psychological research', 'statistics is widely used in quantitative psychological research', 'statistics is widely used in quantitative psychological research', 'statistics is widely used in quantitative psychological research']
[ "but his life is about to change with his third marriage", "but it is life is about a change with us to marriage", "but it is life is about to change with us to marriage", "but his life is about to change with us to marriage", "but his life was about to change with his third marriage" ]
but his life was about to change with his third marriage
but his life is about to change with his third marriage.
but it is life is about a change with us to marriage. but it is life is about to change with us to marriage. but his life is about to change with us to marriage. but his life was about to change with his third marriage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but his life is about to change with his third marriage', 'but it is life is about a change with us to marriage', 'but it is life is about to change with us to marriage', 'but his life is about to change with us to marriage', 'but his life was about to change with his third marriage']
[ "the sync is more and after they talk to their loses all memory of them", "the sync is more and after that talk to her loses all memory of him", "the sync is more and after the talk talk to her loses all memory of him", "the sync is more and after they talk to their loses all memory of them", "the sync is more and after they talk to her loses all memory of him" ]
this angers mori and after their talk tacto loses all memory of him
the sync is more and after they talk to their loses all memory of them.
the sync is more and after that talk to her loses all memory of him. the sync is more and after the talk talk to her loses all memory of him. the sync is more and after they talk to their loses all memory of them. the sync is more and after they talk to her loses all memory of him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sync is more and after they talk to their loses all memory of them', 'the sync is more and after that talk to her loses all memory of him', 'the sync is more and after the talk talk to her loses all memory of him', 'the sync is more and after they talk to their loses all memory of them', 'the sync is more and after they talk to her loses all memory of him']
[ "the eastern terminus is in waterville valley at the center of the town", "the eastern terminus is in waterville valley at the center of the town", "the eastern terminus is in waterville valley at the center of the town", "the eastern terminus is in waterville valley at the center of the town", "the eastern terminus is in waterville valley at the center of the town" ]
the eastern terminus is in waterville valley at the center of the town
the eastern terminus is in waterville valley at the center of the town.
the eastern terminus is in waterville valley at the center of the town. the eastern terminus is in waterville valley at the center of the town. the eastern terminus is in waterville valley at the center of the town. the eastern terminus is in waterville valley at the center of the town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the eastern terminus is in waterville valley at the center of the town', 'the eastern terminus is in waterville valley at the center of the town', 'the eastern terminus is in waterville valley at the center of the town', 'the eastern terminus is in waterville valley at the center of the town', 'the eastern terminus is in waterville valley at the center of the town']
[ "these angels pointed out the divine status of the figures between them", "these angels pointed out that they find status of the figures between them", "these anchors pointed out the divine status of the figures between them", "these angels pointed out that the divine status of the figures between them", "these angels conjured out the divine status of the figures between them" ]
these angels pointed out the divine status of the figures between them
these angels pointed out the divine status of the figures between them.
these angels pointed out that they find status of the figures between them. these anchors pointed out the divine status of the figures between them. these angels pointed out that the divine status of the figures between them. these angels conjured out the divine status of the figures between them.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these angels pointed out the divine status of the figures between them', 'these angels pointed out that they find status of the figures between them', 'these anchors pointed out the divine status of the figures between them', 'these angels pointed out that the divine status of the figures between them', 'these angels conjured out the divine status of the figures between them']
[ "astralin victoria epitomizes the beauty of the city", "astralin victoria epitomizes the beauty of the city", "ash trilling victoria epitomizes the beauty of the city", "ash trillin victoria epitomizes the beauty of the city", "ashtrillin victoria epitomizes the beauty of the city" ]
astrelin victoria epitomizes the beauty of the city
astralin victoria epitomizes the beauty of the city.
astralin victoria epitomizes the beauty of the city. ash trilling victoria epitomizes the beauty of the city. ash trillin victoria epitomizes the beauty of the city. ashtrillin victoria epitomizes the beauty of the city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['astralin victoria epitomizes the beauty of the city', 'astralin victoria epitomizes the beauty of the city', 'ash trilling victoria epitomizes the beauty of the city', 'ash trillin victoria epitomizes the beauty of the city', 'ashtrillin victoria epitomizes the beauty of the city']
[ "trains run south to liverpool street and north to either chestnut or infield town", "trains run south to liverpool street and north to either chestnut or in field town", "trains run south to liverpool street and north to either chestnut or infield town", "trains run south to liverpool street and north to either chestnut or in field town", "trains run south to liverpool street and north to either chestnut or infield town" ]
trains run south to liverpool street and north to either cheshunt or enfield town
trains run south to liverpool street and north to either chestnut or infield town.
trains run south to liverpool street and north to either chestnut or in field town. trains run south to liverpool street and north to either chestnut or infield town. trains run south to liverpool street and north to either chestnut or in field town. trains run south to liverpool street and north to either chestnut or infield town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['trains run south to liverpool street and north to either chestnut or infield town', 'trains run south to liverpool street and north to either chestnut or in field town', 'trains run south to liverpool street and north to either chestnut or infield town', 'trains run south to liverpool street and north to either chestnut or in field town', 'trains run south to liverpool street and north to either chestnut or infield town']
[ "let us work model the children is bureau investigations from the work she did while at hallhouse", "let us work model the children is bureau investigations from the work she did while at hull house", "let us work model the children is bureau investigations from the work she did while at hull house", "let us work model the children is bureau investigations from the work she did while at hallhouse", "let us work model the children is bureau investigations from the work she did while at hullhouse" ]
lathrop modeled the children is bureau investigations from the work she did while at hull house
let us work model the children is bureau investigations from the work she did while at hallhouse.
let us work model the children is bureau investigations from the work she did while at hull house. let us work model the children is bureau investigations from the work she did while at hull house. let us work model the children is bureau investigations from the work she did while at hallhouse. let us work model the children is bureau investigations from the work she did while at hullhouse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us work model the children is bureau investigations from the work she did while at hallhouse', 'let us work model the children is bureau investigations from the work she did while at hull house', 'let us work model the children is bureau investigations from the work she did while at hull house', 'let us work model the children is bureau investigations from the work she did while at hallhouse', 'let us work model the children is bureau investigations from the work she did while at hullhouse']
[ "minimum maintenance is required as transformers and capacitors can be very reliable", "minimum maintenance is required as transformers and capacitors can be very reliable", "minimum maintenance is required as transformers and capacitors can be very reliable", "minimum maintenance is required as transformers and capacitors can be very reliable", "minimum maintenance is required as transformers and capacitors can be very reliable" ]
minimum maintenance is required as transformers and capacitors can be very reliable
minimum maintenance is required as transformers and capacitors can be very reliable.
minimum maintenance is required as transformers and capacitors can be very reliable. minimum maintenance is required as transformers and capacitors can be very reliable. minimum maintenance is required as transformers and capacitors can be very reliable. minimum maintenance is required as transformers and capacitors can be very reliable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['minimum maintenance is required as transformers and capacitors can be very reliable', 'minimum maintenance is required as transformers and capacitors can be very reliable', 'minimum maintenance is required as transformers and capacitors can be very reliable', 'minimum maintenance is required as transformers and capacitors can be very reliable', 'minimum maintenance is required as transformers and capacitors can be very reliable']
[ "graf is later research has a heavy focus on pedagogy", "graff is later research has a heavy focus on pedagogy", "graphs later research has a heavy focus on pedagogy", "grafts later research has a heavy focus on pedagogy", "guards later research has a heavy focus on pedagogy" ]
graff is later research has a heavy focus on pedagogy
graf is later research has a heavy focus on pedagogy.
graff is later research has a heavy focus on pedagogy. graphs later research has a heavy focus on pedagogy. grafts later research has a heavy focus on pedagogy. guards later research has a heavy focus on pedagogy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['graf is later research has a heavy focus on pedagogy', 'graff is later research has a heavy focus on pedagogy', 'graphs later research has a heavy focus on pedagogy', 'grafts later research has a heavy focus on pedagogy', 'guards later research has a heavy focus on pedagogy']
[ "wakely management set stopquets were necessary due to poor economic condition", "wakely management set stopquets were necessary due to poor economic conditions", "wakely management set stop cuts were necessary due to poor economic condition", "wakely management set stopquets will necessary due to poor economic condition", "weakly management set stopquets were necessary due to poor economic condition" ]
weekly management said staff cuts were necessary due to poor economic conditions
wakely management set stopquets were necessary due to poor economic condition.
wakely management set stopquets were necessary due to poor economic conditions. wakely management set stop cuts were necessary due to poor economic condition. wakely management set stopquets will necessary due to poor economic condition. weakly management set stopquets were necessary due to poor economic condition.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wakely management set stopquets were necessary due to poor economic condition', 'wakely management set stopquets were necessary due to poor economic conditions', 'wakely management set stop cuts were necessary due to poor economic condition', 'wakely management set stopquets will necessary due to poor economic condition', 'weakly management set stopquets were necessary due to poor economic condition']
[ "it is slightly poisonous and is purgative and rubber facient when used fresh", "it is slightly poisonous and is purgative and rubour facient when used fresh", "it is slightly poisonous and is purgative and rubber fasciant when used fresh", "it is slightly poisonous and is purgative and rubber fascient when used fresh", "it is slightly poisonous and is purgative and rubefacient when used fresh" ]
it is slightly poisonous and is purgative and rubefacient when used fresh
it is slightly poisonous and is purgative and rubber facient when used fresh.
it is slightly poisonous and is purgative and rubour facient when used fresh. it is slightly poisonous and is purgative and rubber fasciant when used fresh. it is slightly poisonous and is purgative and rubber fascient when used fresh. it is slightly poisonous and is purgative and rubefacient when used fresh.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is slightly poisonous and is purgative and rubber facient when used fresh', 'it is slightly poisonous and is purgative and rubour facient when used fresh', 'it is slightly poisonous and is purgative and rubber fasciant when used fresh', 'it is slightly poisonous and is purgative and rubber fascient when used fresh', 'it is slightly poisonous and is purgative and rubefacient when used fresh']
[ "after jean is retirement judy and sandy became co managers of type for you", "after gene is retirement judy and sandy became co managers of type for you", "after gene is retirement judy and sandy became co managers of type for you", "after jeans retirement judy and sandy became co managers of type for you", "after jean is retirement judy and sandy became co managers of type for you" ]
after jean is retirement judy and sandy become co managers of type for you
after jean is retirement judy and sandy became co managers of type for you.
after gene is retirement judy and sandy became co managers of type for you. after gene is retirement judy and sandy became co managers of type for you. after jeans retirement judy and sandy became co managers of type for you. after jean is retirement judy and sandy became co managers of type for you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after jean is retirement judy and sandy became co managers of type for you', 'after gene is retirement judy and sandy became co managers of type for you', 'after gene is retirement judy and sandy became co managers of type for you', 'after jeans retirement judy and sandy became co managers of type for you', 'after jean is retirement judy and sandy became co managers of type for you']
[ "her career stagnated and she soon began appearing in sex films", "her career stagnated and she soon began appearing in sex films", "her career stagnated and she soon began appearing in sex films", "her career stagnated and she soon began appearing in sex films", "her career stagnated and she soon began appearing in sex films" ]
her career stagnated and she soon began appearing in sex films
her career stagnated and she soon began appearing in sex films.
her career stagnated and she soon began appearing in sex films. her career stagnated and she soon began appearing in sex films. her career stagnated and she soon began appearing in sex films. her career stagnated and she soon began appearing in sex films.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her career stagnated and she soon began appearing in sex films', 'her career stagnated and she soon began appearing in sex films', 'her career stagnated and she soon began appearing in sex films', 'her career stagnated and she soon began appearing in sex films', 'her career stagnated and she soon began appearing in sex films']
[ "there was very limited enemy resistance on the ground", "it was very limited enemy resistance on the ground", "it was a very limited enemy resistance on the ground", "there was a very limited enemy resistance on the ground", "there was a very limited enemy resistance on the ground" ]
there was very limited enemy resistance on the ground
there was very limited enemy resistance on the ground.
it was very limited enemy resistance on the ground. it was a very limited enemy resistance on the ground. there was a very limited enemy resistance on the ground. there was a very limited enemy resistance on the ground.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there was very limited enemy resistance on the ground', 'it was very limited enemy resistance on the ground', 'it was a very limited enemy resistance on the ground', 'there was a very limited enemy resistance on the ground', 'there was a very limited enemy resistance on the ground']
[ "the plane was adopted for television in a hallmark hall of fame production", "the play was adopted for television in a hallmark hall of fame production", "the flame was adopted for television in a hallmark hall of fame production", "the play was adopted for television in a hallmark hall of fame production", "the plane was adopted for television in a hallmark hall of fame production" ]
the play was adapted for television in a hallmark hall of fame production
the plane was adopted for television in a hallmark hall of fame production.
the play was adopted for television in a hallmark hall of fame production. the flame was adopted for television in a hallmark hall of fame production. the play was adopted for television in a hallmark hall of fame production. the plane was adopted for television in a hallmark hall of fame production.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the plane was adopted for television in a hallmark hall of fame production', 'the play was adopted for television in a hallmark hall of fame production', 'the flame was adopted for television in a hallmark hall of fame production', 'the play was adopted for television in a hallmark hall of fame production', 'the plane was adopted for television in a hallmark hall of fame production']
[ "bill and mary are in law", "bill and mary are in love", "bill and mary are in law", "bill and mary are in love", "bill and mary are in love" ]
bill and mary are in love
bill and mary are in law.
bill and mary are in love. bill and mary are in law. bill and mary are in love. bill and mary are in love.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bill and mary are in law', 'bill and mary are in love', 'bill and mary are in law', 'bill and mary are in love', 'bill and mary are in love']
[ "he authored the official song for talk like a pirate day", "he authored the official song for talk like a pirate day", "he authored the official song for talk like a pirate day", "here you authored the official song for talk like a pirate day", "hear you authored the official song for talk like a pirate day" ]
he authored the official song for talk like a pirate day
he authored the official song for talk like a pirate day.
he authored the official song for talk like a pirate day. he authored the official song for talk like a pirate day. here you authored the official song for talk like a pirate day. hear you authored the official song for talk like a pirate day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he authored the official song for talk like a pirate day', 'he authored the official song for talk like a pirate day', 'he authored the official song for talk like a pirate day', 'here you authored the official song for talk like a pirate day', 'hear you authored the official song for talk like a pirate day']
[ "there are direct trains from manglo to mumbai tani chennai goa and tremarva", "there are direct trains from bangalore to mumbai tani chennai goa and tremarva", "there are direct trains from anglo to mumbai tani chennai goa and tremarva", "there are direct trains from bangalore to mumbai tani chennai goa and somalvo", "there are direct trains from bangalore to mumbai tani chennai goa and tremarvo" ]
there are direct trains from mangalore to mumbai thane chennai goa and trivandrum
there are direct trains from manglo to mumbai tani chennai goa and tremarva.
there are direct trains from bangalore to mumbai tani chennai goa and tremarva. there are direct trains from anglo to mumbai tani chennai goa and tremarva. there are direct trains from bangalore to mumbai tani chennai goa and somalvo. there are direct trains from bangalore to mumbai tani chennai goa and tremarvo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are direct trains from manglo to mumbai tani chennai goa and tremarva', 'there are direct trains from bangalore to mumbai tani chennai goa and tremarva', 'there are direct trains from anglo to mumbai tani chennai goa and tremarva', 'there are direct trains from bangalore to mumbai tani chennai goa and somalvo', 'there are direct trains from bangalore to mumbai tani chennai goa and tremarvo']
[ "i never admired a man more than that butler", "i never admired a man more than that butt love", "i never admired a man more than that butler", "i never admired a man more than that butler", "i never admired a man more than that butler" ]
i never admired a man more than that butler
i never admired a man more than that butler.
i never admired a man more than that butt love. i never admired a man more than that butler. i never admired a man more than that butler. i never admired a man more than that butler.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i never admired a man more than that butler', 'i never admired a man more than that butt love', 'i never admired a man more than that butler', 'i never admired a man more than that butler', 'i never admired a man more than that butler']
[ "the term may be gallic in origin", "the term may be gallic in origin", "the term may be galaic in origin", "the term may be gallic in origin", "the term may be gallic in origin" ]
the term may be gallic in origin
the term may be gallic in origin.
the term may be gallic in origin. the term may be galaic in origin. the term may be gallic in origin. the term may be gallic in origin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the term may be gallic in origin', 'the term may be gallic in origin', 'the term may be galaic in origin', 'the term may be gallic in origin', 'the term may be gallic in origin']
[ "the rebellion quickly speed to the rest of the island", "the rebellion quickly split to the rest of the island", "the romanian quickly speed to the rest of the island", "the mammalian quickly speed to the rest of the island", "the rebellion quickly speed to the rest of eilers" ]
the rebellion quickly spread to the rest of ireland
the rebellion quickly speed to the rest of the island.
the rebellion quickly split to the rest of the island. the romanian quickly speed to the rest of the island. the mammalian quickly speed to the rest of the island. the rebellion quickly speed to the rest of eilers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the rebellion quickly speed to the rest of the island', 'the rebellion quickly split to the rest of the island', 'the romanian quickly speed to the rest of the island', 'the mammalian quickly speed to the rest of the island', 'the rebellion quickly speed to the rest of eilers']
[ "as a patron of the arts he was notable", "as the patron of the arts he was notable", "as a background of the arts he was notable", "as a patron of the arts he was notable", "as a pattern of the arts he was notable" ]
as a patron of the arts he was notable
as a patron of the arts he was notable.
as the patron of the arts he was notable. as a background of the arts he was notable. as a patron of the arts he was notable. as a pattern of the arts he was notable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a patron of the arts he was notable', 'as the patron of the arts he was notable', 'as a background of the arts he was notable', 'as a patron of the arts he was notable', 'as a pattern of the arts he was notable']
[ "the grand trainyan would often play host to the king and his wife", "the grand trainyan would often play host to the king and his wife", "the grand trainyon would often play host to the king and his wife", "the grand trainyon would often play host to the king and his wife", "the grand trainyan would often play hosts to the king and his wife" ]
the grand trianon would often play host to the king and his wife
the grand trainyan would often play host to the king and his wife.
the grand trainyan would often play host to the king and his wife. the grand trainyon would often play host to the king and his wife. the grand trainyon would often play host to the king and his wife. the grand trainyan would often play hosts to the king and his wife.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the grand trainyan would often play host to the king and his wife', 'the grand trainyan would often play host to the king and his wife', 'the grand trainyon would often play host to the king and his wife', 'the grand trainyon would often play host to the king and his wife', 'the grand trainyan would often play hosts to the king and his wife']
[ "the djibouti and navy is the naval service branch of the djibouti armed forces", "the djibouti and navy is the naval service branch of the djibouti armed forces", "the djibouti and navi is the naval service branch of the djibouti armed forces", "the djibouti and navi is the naval service branch of the djibouti armed forces", "the djibouti navy is the naval service branch of the djibouti armed forces" ]
the djiboutian navy is the naval service branch of the djibouti armed forces
the djibouti and navy is the naval service branch of the djibouti armed forces.
the djibouti and navy is the naval service branch of the djibouti armed forces. the djibouti and navi is the naval service branch of the djibouti armed forces. the djibouti and navi is the naval service branch of the djibouti armed forces. the djibouti navy is the naval service branch of the djibouti armed forces.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the djibouti and navy is the naval service branch of the djibouti armed forces', 'the djibouti and navy is the naval service branch of the djibouti armed forces', 'the djibouti and navi is the naval service branch of the djibouti armed forces', 'the djibouti and navi is the naval service branch of the djibouti armed forces', 'the djibouti navy is the naval service branch of the djibouti armed forces']
[ "kabazin is married to maazin the daughter of rosalind and how it is in", "kabazin is married to maazin the daughter of roslyn and how it is in", "kabazin is married to maazin the daughter of rosalyn and how it is in", "kabazin is married to maazin the daughter of ruslan and how it is in", "kabazin is married to maazin the daughter of ursula and how it is in" ]
kabat zinn is married to myla zinn the daughter of roslyn and howard zinn
kabazin is married to maazin the daughter of rosalind and how it is in.
kabazin is married to maazin the daughter of roslyn and how it is in. kabazin is married to maazin the daughter of rosalyn and how it is in. kabazin is married to maazin the daughter of ruslan and how it is in. kabazin is married to maazin the daughter of ursula and how it is in.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kabazin is married to maazin the daughter of rosalind and how it is in', 'kabazin is married to maazin the daughter of roslyn and how it is in', 'kabazin is married to maazin the daughter of rosalyn and how it is in', 'kabazin is married to maazin the daughter of ruslan and how it is in', 'kabazin is married to maazin the daughter of ursula and how it is in']
[ "now there are two ashok is and two bahadur is in the same city", "now there are two ashok is and two bahadur is in the same city", "now there are two ashok and two bahadur is in the same city", "now there are two ashoks and two bahadur is in the same city", "now there are two ashok and two bahadur in the same city" ]
now there are two ashoks and two bahadurs in the same city
now there are two ashok is and two bahadur is in the same city.
now there are two ashok is and two bahadur is in the same city. now there are two ashok and two bahadur is in the same city. now there are two ashoks and two bahadur is in the same city. now there are two ashok and two bahadur in the same city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['now there are two ashok is and two bahadur is in the same city', 'now there are two ashok is and two bahadur is in the same city', 'now there are two ashok and two bahadur is in the same city', 'now there are two ashoks and two bahadur is in the same city', 'now there are two ashok and two bahadur in the same city']
[ "the hallucinations also often fit into person surroundings", "the hallucinations also often fit into persons surroundings", "the hallucinations also often fit into person is surroundings", "the high hallucinations also often fit into person surroundings", "the hallucinations also often fit into person surroundings" ]
the hallucinations also often fit into the person is surroundings
the hallucinations also often fit into person surroundings.
the hallucinations also often fit into persons surroundings. the hallucinations also often fit into person is surroundings. the high hallucinations also often fit into person surroundings. the hallucinations also often fit into person surroundings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hallucinations also often fit into person surroundings', 'the hallucinations also often fit into persons surroundings', 'the hallucinations also often fit into person is surroundings', 'the high hallucinations also often fit into person surroundings', 'the hallucinations also often fit into person surroundings']
[ "this allows the writer to apply pressure and effect a hillside turn", "this allows the rider to apply pressure and effect a hillside turn", "this allows the writer to apply pressure and affect a hillside turn", "this allows the writer to apply pressure and effect a hillside turn", "this allows the ritor to apply pressure and effect a hillside turn" ]
this allows the rider to apply pressure and effect a heelside turn
this allows the writer to apply pressure and effect a hillside turn.
this allows the rider to apply pressure and effect a hillside turn. this allows the writer to apply pressure and affect a hillside turn. this allows the writer to apply pressure and effect a hillside turn. this allows the ritor to apply pressure and effect a hillside turn.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this allows the writer to apply pressure and effect a hillside turn', 'this allows the rider to apply pressure and effect a hillside turn', 'this allows the writer to apply pressure and affect a hillside turn', 'this allows the writer to apply pressure and effect a hillside turn', 'this allows the ritor to apply pressure and effect a hillside turn']
[ "british columbia did not participate in the conference", "british columbia did not participate in the conference", "british columbia did not participate in the conference", "the british columbia did not participate in the conference", "british columbia did not participate in the conference" ]
british columbia did not participate in the conference
british columbia did not participate in the conference.
british columbia did not participate in the conference. british columbia did not participate in the conference. the british columbia did not participate in the conference. british columbia did not participate in the conference.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['british columbia did not participate in the conference', 'british columbia did not participate in the conference', 'british columbia did not participate in the conference', 'the british columbia did not participate in the conference', 'british columbia did not participate in the conference']
[ "the origins of the flag are the subject of dispute and mythology", "the origins of the flag are the subject of dispute and mythology", "the origins of the flag or the subject of dispute and mythology", "the origins of the flag or the subject of dispute and mythology", "the origins of the flag are the subject of dispute and mythology" ]
the origins of the flag are the subject of dispute and mythology
the origins of the flag are the subject of dispute and mythology.
the origins of the flag are the subject of dispute and mythology. the origins of the flag or the subject of dispute and mythology. the origins of the flag or the subject of dispute and mythology. the origins of the flag are the subject of dispute and mythology.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the origins of the flag are the subject of dispute and mythology', 'the origins of the flag are the subject of dispute and mythology', 'the origins of the flag or the subject of dispute and mythology', 'the origins of the flag or the subject of dispute and mythology', 'the origins of the flag are the subject of dispute and mythology']
[ "he is denounced journalists as rats", "he has denounced journalists as rats", "he is the announce journalist as rats", "he is the announce journalists as rats", "he is the announce journalist is as rats" ]
he has denounced journalists as rats
he is denounced journalists as rats.
he has denounced journalists as rats. he is the announce journalist as rats. he is the announce journalists as rats. he is the announce journalist is as rats.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is denounced journalists as rats', 'he has denounced journalists as rats', 'he is the announce journalist as rats', 'he is the announce journalists as rats', 'he is the announce journalist is as rats']
[ "vilton was originally built up chiefly by ukrainians", "wellton was originally built up chiefly by ukrainians", "welton was originally built up chiefly by ukrainians", "wilton was originally built up chiefly by ukrainians", "weltern was originally built up chiefly by ukrainians" ]
wilton was originally built up chiefly by ukrainians
vilton was originally built up chiefly by ukrainians.
wellton was originally built up chiefly by ukrainians. welton was originally built up chiefly by ukrainians. wilton was originally built up chiefly by ukrainians. weltern was originally built up chiefly by ukrainians.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['vilton was originally built up chiefly by ukrainians', 'wellton was originally built up chiefly by ukrainians', 'welton was originally built up chiefly by ukrainians', 'wilton was originally built up chiefly by ukrainians', 'weltern was originally built up chiefly by ukrainians']
[ "the community is solved by the bethlehem area school district", "the community is solved by the bethlehem area school district", "the community is served by the bethlehem area school district", "the community is served by the bethlehem area school district", "the community is solved by the bethlehem area school district" ]
the community is served by the bethlehem area school district
the community is solved by the bethlehem area school district.
the community is solved by the bethlehem area school district. the community is served by the bethlehem area school district. the community is served by the bethlehem area school district. the community is solved by the bethlehem area school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the community is solved by the bethlehem area school district', 'the community is solved by the bethlehem area school district', 'the community is served by the bethlehem area school district', 'the community is served by the bethlehem area school district', 'the community is solved by the bethlehem area school district']
[ "it is written by john bittie and directed by bob anderson", "it is written by john bitty and directed by bob anderson", "it is written by john vittie and directed by bob anderson", "it is written by john bittey and directed by bob anderson", "it is written by john bittie and directed by bob anderson" ]
it was written by jon vitti and directed by bob anderson
it is written by john bittie and directed by bob anderson.
it is written by john bitty and directed by bob anderson. it is written by john vittie and directed by bob anderson. it is written by john bittey and directed by bob anderson. it is written by john bittie and directed by bob anderson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is written by john bittie and directed by bob anderson', 'it is written by john bitty and directed by bob anderson', 'it is written by john vittie and directed by bob anderson', 'it is written by john bittey and directed by bob anderson', 'it is written by john bittie and directed by bob anderson']
[ "one of his sons doctor k kasim hussein was an expert in infectious diseases", "one of his sons doctor kay kasim hussein was an expert in infectious diseases", "one of your sons doctor k kasim hussein was an expert in infectious diseases", "one of his sons doctor k kasim hussein was an expert in infectious diseases", "one of his sons doctor kay kasim hussein was in an expert in infectious diseases" ]
one of his sons doctor k khasim hussain was an expert in infectious diseases
one of his sons doctor k kasim hussein was an expert in infectious diseases.
one of his sons doctor kay kasim hussein was an expert in infectious diseases. one of your sons doctor k kasim hussein was an expert in infectious diseases. one of his sons doctor k kasim hussein was an expert in infectious diseases. one of his sons doctor kay kasim hussein was in an expert in infectious diseases.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of his sons doctor k kasim hussein was an expert in infectious diseases', 'one of his sons doctor kay kasim hussein was an expert in infectious diseases', 'one of your sons doctor k kasim hussein was an expert in infectious diseases', 'one of his sons doctor k kasim hussein was an expert in infectious diseases', 'one of his sons doctor kay kasim hussein was in an expert in infectious diseases']
[ "a nurse poses for a picture with a mother and her newborn", "an nurse poses for a picture with a mother and her newborn", "annurse poses for a picture with a mother and her newborn", "annurse poses for a picture with a mother and her newborn", "annurse poses for a picture with a mother and her newborn" ]
a nurse poses for a picture with a mother and her newborn
a nurse poses for a picture with a mother and her newborn.
an nurse poses for a picture with a mother and her newborn. annurse poses for a picture with a mother and her newborn. annurse poses for a picture with a mother and her newborn. annurse poses for a picture with a mother and her newborn.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a nurse poses for a picture with a mother and her newborn', 'an nurse poses for a picture with a mother and her newborn', 'annurse poses for a picture with a mother and her newborn', 'annurse poses for a picture with a mother and her newborn', 'annurse poses for a picture with a mother and her newborn']
[ "glaciers form and develop during long periods of cool and wet weather", "glaciers form and develop during long periods of cool and wet weather", "glaciers form and developed during long periods of cool and wet weather", "glacier is warm and developed during long periods of cool and wet weather", "glacier is form and developed during long periods of cool and wet weather" ]
glaciers form and develop during long periods of cool and wet weather
glaciers form and develop during long periods of cool and wet weather.
glaciers form and develop during long periods of cool and wet weather. glaciers form and developed during long periods of cool and wet weather. glacier is warm and developed during long periods of cool and wet weather. glacier is form and developed during long periods of cool and wet weather.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['glaciers form and develop during long periods of cool and wet weather', 'glaciers form and develop during long periods of cool and wet weather', 'glaciers form and developed during long periods of cool and wet weather', 'glacier is warm and developed during long periods of cool and wet weather', 'glacier is form and developed during long periods of cool and wet weather']
[ "the climate is mild but relatively erratic", "the climate is mild but relatively errant", "the climate is mild but relatively arid", "the climate is mild but relatively erred", "the climate is mild but relatively erud" ]
the climate is mild but relatively arid
the climate is mild but relatively erratic.
the climate is mild but relatively errant. the climate is mild but relatively arid. the climate is mild but relatively erred. the climate is mild but relatively erud.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the climate is mild but relatively erratic', 'the climate is mild but relatively errant', 'the climate is mild but relatively arid', 'the climate is mild but relatively erred', 'the climate is mild but relatively erud']
[ "the tasmanian government disputed these claims", "the tasmanian government disputed these claims", "the tasmanian government has put in these claims", "the tasmanian government is puting these claims", "the tasmanian government has put in these claims" ]
the tasmanian government disputed these claims
the tasmanian government disputed these claims.
the tasmanian government disputed these claims. the tasmanian government has put in these claims. the tasmanian government is puting these claims. the tasmanian government has put in these claims.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tasmanian government disputed these claims', 'the tasmanian government disputed these claims', 'the tasmanian government has put in these claims', 'the tasmanian government is puting these claims', 'the tasmanian government has put in these claims']
[ "there were two heavy sheets of steel behind the pilot is head and back", "there were two heavy sheets of steel behind the pilot is head and back", "there were two heavy sheets of steel behind the pilot is head and back", "there were two heavy sheets of steel behind the pilots head and back", "there were two heavy sheets of steel behind the pilot is head and back" ]
there were two heavy sheets of steel behind the pilot is head and back
there were two heavy sheets of steel behind the pilot is head and back.
there were two heavy sheets of steel behind the pilot is head and back. there were two heavy sheets of steel behind the pilot is head and back. there were two heavy sheets of steel behind the pilots head and back. there were two heavy sheets of steel behind the pilot is head and back.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were two heavy sheets of steel behind the pilot is head and back', 'there were two heavy sheets of steel behind the pilot is head and back', 'there were two heavy sheets of steel behind the pilot is head and back', 'there were two heavy sheets of steel behind the pilots head and back', 'there were two heavy sheets of steel behind the pilot is head and back']
[ "later version to the data set fixed this", "later version to the data set fix this", "later version to the dataset fixed this", "later version to the data set fixed this", "later version to the data set fix this" ]
later versions of the data set fixed this
later version to the data set fixed this.
later version to the data set fix this. later version to the dataset fixed this. later version to the data set fixed this. later version to the data set fix this.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later version to the data set fixed this', 'later version to the data set fix this', 'later version to the dataset fixed this', 'later version to the data set fixed this', 'later version to the data set fix this']
[ "he was educated at university of cambridge in pembroke college", "he was educated at the university of cambridge in pembroke college", "he was educator at university of cambridge in pembroke college", "he was educator university of cambridge in pembroke college", "he was educator at university of cambridge in pembroke college" ]
he was educated at the university of cambridge in pembroke college
he was educated at university of cambridge in pembroke college.
he was educated at the university of cambridge in pembroke college. he was educator at university of cambridge in pembroke college. he was educator university of cambridge in pembroke college. he was educator at university of cambridge in pembroke college.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was educated at university of cambridge in pembroke college', 'he was educated at the university of cambridge in pembroke college', 'he was educator at university of cambridge in pembroke college', 'he was educator university of cambridge in pembroke college', 'he was educator at university of cambridge in pembroke college']
[ "a secret plan was put in place and dubbed operation prime chance", "a secret plan was put in place and dubbed operation prime chants", "a secret plan was put in place and dubbed operation prime chance", "a secret plan was put in place and dubbed operation prime chance", "a secret plan was put in place and dubbed operation prime chance" ]
a secret plan was put in place and dubbed operation prime chance
a secret plan was put in place and dubbed operation prime chance.
a secret plan was put in place and dubbed operation prime chants. a secret plan was put in place and dubbed operation prime chance. a secret plan was put in place and dubbed operation prime chance. a secret plan was put in place and dubbed operation prime chance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a secret plan was put in place and dubbed operation prime chance', 'a secret plan was put in place and dubbed operation prime chants', 'a secret plan was put in place and dubbed operation prime chance', 'a secret plan was put in place and dubbed operation prime chance', 'a secret plan was put in place and dubbed operation prime chance']
[ "i am sitting in the sound tower and all the kids are everywhere", "i am sitting in the sound tower and all the kids are everywhere", "i am sitting in the sound tower and all the kids are everywhere", "i am sitting in the sound tower and all the kids are everywhere", "i am sitting in the soundtower and all the kids are everywhere" ]
i am sitting in the sound tower and all the kids are everywhere
i am sitting in the sound tower and all the kids are everywhere.
i am sitting in the sound tower and all the kids are everywhere. i am sitting in the sound tower and all the kids are everywhere. i am sitting in the sound tower and all the kids are everywhere. i am sitting in the soundtower and all the kids are everywhere.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am sitting in the sound tower and all the kids are everywhere', 'i am sitting in the sound tower and all the kids are everywhere', 'i am sitting in the sound tower and all the kids are everywhere', 'i am sitting in the sound tower and all the kids are everywhere', 'i am sitting in the soundtower and all the kids are everywhere']
[ "umar may have been trying to win over the techannis and the balobao", "umar may have been trying to win over the techannis and the balobaw", "umar may have been trying to win over the techannis and the bailobao", "umar may have been trying to win over the techannis and the balobow", "umar may have been trying to win over the techannis and the balobau" ]
umar may have been trying to win over the tijanis under ba lobbo
umar may have been trying to win over the techannis and the balobao.
umar may have been trying to win over the techannis and the balobaw. umar may have been trying to win over the techannis and the bailobao. umar may have been trying to win over the techannis and the balobow. umar may have been trying to win over the techannis and the balobau.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['umar may have been trying to win over the techannis and the balobao', 'umar may have been trying to win over the techannis and the balobaw', 'umar may have been trying to win over the techannis and the bailobao', 'umar may have been trying to win over the techannis and the balobow', 'umar may have been trying to win over the techannis and the balobau']
[ "due to the small board games typically finish quicker than in standard chess", "due to the smallboard games typically finish quicker than in standard chess", "due to the small board games typically finish quicker than in standard chess", "due to the small board games typically finish quicker than in standard chess", "due to the small board games typically finish quicker than in standard chess" ]
due to the small board games typically finish quicker than in standard chess
due to the small board games typically finish quicker than in standard chess.
due to the smallboard games typically finish quicker than in standard chess. due to the small board games typically finish quicker than in standard chess. due to the small board games typically finish quicker than in standard chess. due to the small board games typically finish quicker than in standard chess.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['due to the small board games typically finish quicker than in standard chess', 'due to the smallboard games typically finish quicker than in standard chess', 'due to the small board games typically finish quicker than in standard chess', 'due to the small board games typically finish quicker than in standard chess', 'due to the small board games typically finish quicker than in standard chess']
[ "as this scheme progresses more roles are expected to become available", "as this keen progresses more roles are expected to become available", "as this scheme progresses more roles are expected to become available", "as this scheme progresses more roles are expected to become available", "as this scheme progresses more roles are expected to become available" ]
as the scheme progresses more roles are expected to become available
as this scheme progresses more roles are expected to become available.
as this keen progresses more roles are expected to become available. as this scheme progresses more roles are expected to become available. as this scheme progresses more roles are expected to become available. as this scheme progresses more roles are expected to become available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as this scheme progresses more roles are expected to become available', 'as this keen progresses more roles are expected to become available', 'as this scheme progresses more roles are expected to become available', 'as this scheme progresses more roles are expected to become available', 'as this scheme progresses more roles are expected to become available']
[ "the church of england parish church is dedicated to saint peter and saint paul", "the church of england paris church is dedicated to saint peter and saint paul", "the church of england parish church is dedicated to saint peter and saint paul", "the church of england parish church is dedicated to saint peter and saint paul", "the church of england parish church is dedicated to saint peter and saint paul" ]
the church of england parish church is dedicated to saint peter and saint paul
the church of england parish church is dedicated to saint peter and saint paul.
the church of england paris church is dedicated to saint peter and saint paul. the church of england parish church is dedicated to saint peter and saint paul. the church of england parish church is dedicated to saint peter and saint paul. the church of england parish church is dedicated to saint peter and saint paul.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the church of england parish church is dedicated to saint peter and saint paul', 'the church of england paris church is dedicated to saint peter and saint paul', 'the church of england parish church is dedicated to saint peter and saint paul', 'the church of england parish church is dedicated to saint peter and saint paul', 'the church of england parish church is dedicated to saint peter and saint paul']
[ "a woman wearing red white and blue is riding a bike in a trailer", "a woman wearing red white and blue is riding a bike in a channel", "a woman wearing red white and blue is riding a bike in a camera", "a woman wearing red white and blue is riding a bike in a trailer", "a woman wearing red white and blue is riding a bike in a china" ]
a woman wearing red white and blue is riding a bike in a gym
a woman wearing red white and blue is riding a bike in a trailer.
a woman wearing red white and blue is riding a bike in a channel. a woman wearing red white and blue is riding a bike in a camera. a woman wearing red white and blue is riding a bike in a trailer. a woman wearing red white and blue is riding a bike in a china.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a woman wearing red white and blue is riding a bike in a trailer', 'a woman wearing red white and blue is riding a bike in a channel', 'a woman wearing red white and blue is riding a bike in a camera', 'a woman wearing red white and blue is riding a bike in a trailer', 'a woman wearing red white and blue is riding a bike in a china']
[ "it is very humid but patched in some months making the weather very oppressive", "it is very humid but poached in some months making the weather very oppressive", "it is very humid but patched in some months making the weather very oppressive", "it is very humid but potched in some months making the weather very oppressive", "it is very humid but parched in some months making the weather very oppressive" ]
it is very humid but parched in some months making the weather very oppressive
it is very humid but patched in some months making the weather very oppressive.
it is very humid but poached in some months making the weather very oppressive. it is very humid but patched in some months making the weather very oppressive. it is very humid but potched in some months making the weather very oppressive. it is very humid but parched in some months making the weather very oppressive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is very humid but patched in some months making the weather very oppressive', 'it is very humid but poached in some months making the weather very oppressive', 'it is very humid but patched in some months making the weather very oppressive', 'it is very humid but potched in some months making the weather very oppressive', 'it is very humid but parched in some months making the weather very oppressive']
[ "oh yes i know", "oh yes i knew", "oh yes i know", "oh yes i know", "oh yes i know" ]
ah yes i know
oh yes i know.
oh yes i knew. oh yes i know. oh yes i know. oh yes i know.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['oh yes i know', 'oh yes i knew', 'oh yes i know', 'oh yes i know', 'oh yes i know']
[ "climbing to place at paramount is astoria storials in astoria queen", "climbing two plays at paramount is astoria stories in astoria queen", "climbing to place at paramount is astoria stories in astoria queen", "climbing two place at paramount is astoria storials in astoria queen", "climbing two place at paramount is astoria stories in astoria queen" ]
filming took place at paramount is astoria studios in astoria queens
climbing to place at paramount is astoria storials in astoria queen.
climbing two plays at paramount is astoria stories in astoria queen. climbing to place at paramount is astoria stories in astoria queen. climbing two place at paramount is astoria storials in astoria queen. climbing two place at paramount is astoria stories in astoria queen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['climbing to place at paramount is astoria storials in astoria queen', 'climbing two plays at paramount is astoria stories in astoria queen', 'climbing to place at paramount is astoria stories in astoria queen', 'climbing two place at paramount is astoria storials in astoria queen', 'climbing two place at paramount is astoria stories in astoria queen']
[ "the related articles are then listed in order of relatedness", "the related articles are then listed in order of relatedness", "the related articles are then listed in order of relatedness", "the related articles are then listed in order of relatedness", "the related articles are then listed in order of relatedness" ]
the related articles are then listed in order of relatedness
the related articles are then listed in order of relatedness.
the related articles are then listed in order of relatedness. the related articles are then listed in order of relatedness. the related articles are then listed in order of relatedness. the related articles are then listed in order of relatedness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the related articles are then listed in order of relatedness', 'the related articles are then listed in order of relatedness', 'the related articles are then listed in order of relatedness', 'the related articles are then listed in order of relatedness', 'the related articles are then listed in order of relatedness']
[ "this is simply not true", "this is simply not true", "this is simply not true", "this is simply not true", "this is simply not true" ]
this is simply not true
this is simply not true.
this is simply not true. this is simply not true. this is simply not true. this is simply not true.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is simply not true', 'this is simply not true', 'this is simply not true', 'this is simply not true', 'this is simply not true']
[ "tato was born in quebec but later lived mainly in western canada", "tatl was born in quebec but later lived mainly in western canada", "tattle was born in quebec but later lived mainly in western canada", "tuttle was born in quebec but later lived mainly in western canada", "tottle was born in quebec but later lived mainly in western canada" ]
tottle was born in quebec but later lived mainly in western canada
tato was born in quebec but later lived mainly in western canada.
tatl was born in quebec but later lived mainly in western canada. tattle was born in quebec but later lived mainly in western canada. tuttle was born in quebec but later lived mainly in western canada. tottle was born in quebec but later lived mainly in western canada.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tato was born in quebec but later lived mainly in western canada', 'tatl was born in quebec but later lived mainly in western canada', 'tattle was born in quebec but later lived mainly in western canada', 'tuttle was born in quebec but later lived mainly in western canada', 'tottle was born in quebec but later lived mainly in western canada']
[ "a dog leaps over a wooden fence as another is about to", "a dog leaps over a wooden fence has another is about two", "a dog leaps over a wooden fence has another is about to", "a dog leaps over a wooden fence as another is about to", "a dog leaps over a wooden fence has another is about two" ]
a dog leaps over a wooden fence as another is about to
a dog leaps over a wooden fence as another is about to.
a dog leaps over a wooden fence has another is about two. a dog leaps over a wooden fence has another is about to. a dog leaps over a wooden fence as another is about to. a dog leaps over a wooden fence has another is about two.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a dog leaps over a wooden fence as another is about to', 'a dog leaps over a wooden fence has another is about two', 'a dog leaps over a wooden fence has another is about to', 'a dog leaps over a wooden fence as another is about to', 'a dog leaps over a wooden fence has another is about two']
[ "spanish colonizers later denominated the area into two distinct regions", "spanish colonizers later denominated the area into two distinct regions", "spanish colonizers later denominated the area into two distinct regions", "spanish colonizers later denominated the area into two distinct regions", "spanish colonizers later denominated the area into two distinct regions" ]
spanish colonizers later denominated the area into two distinct regions
spanish colonizers later denominated the area into two distinct regions.
spanish colonizers later denominated the area into two distinct regions. spanish colonizers later denominated the area into two distinct regions. spanish colonizers later denominated the area into two distinct regions. spanish colonizers later denominated the area into two distinct regions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['spanish colonizers later denominated the area into two distinct regions', 'spanish colonizers later denominated the area into two distinct regions', 'spanish colonizers later denominated the area into two distinct regions', 'spanish colonizers later denominated the area into two distinct regions', 'spanish colonizers later denominated the area into two distinct regions']
[ "the telescope was donated by the copenhagen astronomical society", "the telescope was donated by the copernick astronomical society", "the telescope was donated by the coppanec astronomical society", "the telescope was donated by the copponic astronomical society", "the telescope was donated by the copenic astronomical society" ]
the telescope was donated by the kopernik astronomical society
the telescope was donated by the copenhagen astronomical society.
the telescope was donated by the copernick astronomical society. the telescope was donated by the coppanec astronomical society. the telescope was donated by the copponic astronomical society. the telescope was donated by the copenic astronomical society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the telescope was donated by the copenhagen astronomical society', 'the telescope was donated by the copernick astronomical society', 'the telescope was donated by the coppanec astronomical society', 'the telescope was donated by the copponic astronomical society', 'the telescope was donated by the copenic astronomical society']
[ "the small gym contains a rock climbing wall and an archery core", "the small gym contains a rock climbing wall and an archery court", "the small gym contains a rock climbing war and an archery court", "the smorgium contains a rock climbing wall and an archery court", "the small gym contains a rock climbing wall and an archery port" ]
the small gym contains a rock climbing wall and an archery court
the small gym contains a rock climbing wall and an archery core.
the small gym contains a rock climbing wall and an archery court. the small gym contains a rock climbing war and an archery court. the smorgium contains a rock climbing wall and an archery court. the small gym contains a rock climbing wall and an archery port.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the small gym contains a rock climbing wall and an archery core', 'the small gym contains a rock climbing wall and an archery court', 'the small gym contains a rock climbing war and an archery court', 'the smorgium contains a rock climbing wall and an archery court', 'the small gym contains a rock climbing wall and an archery port']
[ "jason played by ken hodder through pressing over the counter", "jason played by ken hodder through pressing the over the counter", "jason played by ken hodder through prising over the counter", "jason played by ken horder through pressing over the counter", "jason played by ken horder through pressing the over the counter" ]
jason played by kane hodder threw kirzinger over the counter
jason played by ken hodder through pressing over the counter.
jason played by ken hodder through pressing the over the counter. jason played by ken hodder through prising over the counter. jason played by ken horder through pressing over the counter. jason played by ken horder through pressing the over the counter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jason played by ken hodder through pressing over the counter', 'jason played by ken hodder through pressing the over the counter', 'jason played by ken hodder through prising over the counter', 'jason played by ken horder through pressing over the counter', 'jason played by ken horder through pressing the over the counter']
[ "note that the user is name is never transmitted in unencrypted clear text improving privacy", "note that the user is name is never transmitted in unencrypted clear text improving privacy", "note that the user is name is never transmitted in unencrypted cleotext improving privacy", "note that the user is name is never transmitted in unencrypted cleotext improving privacy", "note that the user is name is never transmitted in unencrypted clear text improving privacy" ]
note that the user is name is never transmitted in unencrypted clear text improving privacy
note that the user is name is never transmitted in unencrypted clear text improving privacy.
note that the user is name is never transmitted in unencrypted clear text improving privacy. note that the user is name is never transmitted in unencrypted cleotext improving privacy. note that the user is name is never transmitted in unencrypted cleotext improving privacy. note that the user is name is never transmitted in unencrypted clear text improving privacy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['note that the user is name is never transmitted in unencrypted clear text improving privacy', 'note that the user is name is never transmitted in unencrypted clear text improving privacy', 'note that the user is name is never transmitted in unencrypted cleotext improving privacy', 'note that the user is name is never transmitted in unencrypted cleotext improving privacy', 'note that the user is name is never transmitted in unencrypted clear text improving privacy']
[ "a young cop is lying in the family", "a young cop is mine a family", "a young cop is my and a family", "a young cop is lying in a family", "a young cop is mine in the family" ]
a young couple play in a fountain
a young cop is lying in the family.
a young cop is mine a family. a young cop is my and a family. a young cop is lying in a family. a young cop is mine in the family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a young cop is lying in the family', 'a young cop is mine a family', 'a young cop is my and a family', 'a young cop is lying in a family', 'a young cop is mine in the family']
[ "braitings were decent but the demographic was older by a generational too", "braidings were decent but the demographic was older by a generational too", "braitings were decent but the demographic was older by a generational too", "braitings were decent but the demographic was older by a generational term", "braitings were decent but the demographic was older by a generational too" ]
ratings were decent but the demographic was older by a generation or two
braitings were decent but the demographic was older by a generational too.
braidings were decent but the demographic was older by a generational too. braitings were decent but the demographic was older by a generational too. braitings were decent but the demographic was older by a generational term. braitings were decent but the demographic was older by a generational too.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['braitings were decent but the demographic was older by a generational too', 'braidings were decent but the demographic was older by a generational too', 'braitings were decent but the demographic was older by a generational too', 'braitings were decent but the demographic was older by a generational term', 'braitings were decent but the demographic was older by a generational too']
[ "the building also housed heath towns public library", "the building also housed heat towns public library", "the building also housed heat towns publicly", "the building also housed heat towns public library", "the building also housed heat towns public library" ]
the building also housed heath town is public library
the building also housed heath towns public library.
the building also housed heat towns public library. the building also housed heat towns publicly. the building also housed heat towns public library. the building also housed heat towns public library.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the building also housed heath towns public library', 'the building also housed heat towns public library', 'the building also housed heat towns publicly', 'the building also housed heat towns public library', 'the building also housed heat towns public library']
[ "if not how much of this constitutes stage terrorism", "if not how much of this constitutes stage iteration", "if not how much of this constitutes stage tetherism", "if not how much of this constitutes stage deterioration", "if not how much of this constitutes stage deuterism" ]
if not how much of this constitutes state terrorism
if not how much of this constitutes stage terrorism.
if not how much of this constitutes stage iteration. if not how much of this constitutes stage tetherism. if not how much of this constitutes stage deterioration. if not how much of this constitutes stage deuterism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if not how much of this constitutes stage terrorism', 'if not how much of this constitutes stage iteration', 'if not how much of this constitutes stage tetherism', 'if not how much of this constitutes stage deterioration', 'if not how much of this constitutes stage deuterism']
[ "these included the recent fortifications at dunbar gospel leith and iml", "these included the recent fortifications at dunbar hospital leith and iml", "these included the recent fortifications at dunbar gospel leith and iml", "these included the recent fortifications at dunbar cosswell leith and iml", "these included the recent fortifications at domba hospital leith and iml" ]
these included the recent fortifications at dunbar castle leith and eyemouth
these included the recent fortifications at dunbar gospel leith and iml.
these included the recent fortifications at dunbar hospital leith and iml. these included the recent fortifications at dunbar gospel leith and iml. these included the recent fortifications at dunbar cosswell leith and iml. these included the recent fortifications at domba hospital leith and iml.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these included the recent fortifications at dunbar gospel leith and iml', 'these included the recent fortifications at dunbar hospital leith and iml', 'these included the recent fortifications at dunbar gospel leith and iml', 'these included the recent fortifications at dunbar cosswell leith and iml', 'these included the recent fortifications at domba hospital leith and iml']
[ "thus they return to the studio to capture this newfound energy", "thus they return to the studio to capture this newfound energy", "thus they return to the studio to capture this new found energy", "thus they return to the studio to capture this new found energy", "thus they return to the studio to capture this newfound energy" ]
thus they returned to the studio to capture this newfound energy
thus they return to the studio to capture this newfound energy.
thus they return to the studio to capture this newfound energy. thus they return to the studio to capture this new found energy. thus they return to the studio to capture this new found energy. thus they return to the studio to capture this newfound energy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thus they return to the studio to capture this newfound energy', 'thus they return to the studio to capture this newfound energy', 'thus they return to the studio to capture this new found energy', 'thus they return to the studio to capture this new found energy', 'thus they return to the studio to capture this newfound energy']
[ "it was a hot thing to recover from", "it was hot too to recover from", "it was hot too to recover from it", "it was hot to recover from it", "it was hot to recover from" ]
it was a hard thing to recover from
it was a hot thing to recover from.
it was hot too to recover from. it was hot too to recover from it. it was hot to recover from it. it was hot to recover from.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a hot thing to recover from', 'it was hot too to recover from', 'it was hot too to recover from it', 'it was hot to recover from it', 'it was hot to recover from']
[ "the ottoman village of malabis appears at this site on the british river map", "the ottoman village of nullabis appears at this site on the british river map", "the ottoman village of malabis appears at this site on the british hervae map", "the ottoman village of malabis appears at this site on the british railway map", "the ottoman village of malabis appears at this site on the british her way map" ]
the ottoman village of mulebbis appears at this site on the british survey map
the ottoman village of malabis appears at this site on the british river map.
the ottoman village of nullabis appears at this site on the british river map. the ottoman village of malabis appears at this site on the british hervae map. the ottoman village of malabis appears at this site on the british railway map. the ottoman village of malabis appears at this site on the british her way map.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ottoman village of malabis appears at this site on the british river map', 'the ottoman village of nullabis appears at this site on the british river map', 'the ottoman village of malabis appears at this site on the british hervae map', 'the ottoman village of malabis appears at this site on the british railway map', 'the ottoman village of malabis appears at this site on the british her way map']
[ "it is close to an out of body experience", "it is closer than out of bullets parents", "it is closer and out of bullets parents", "it is close to an out of body experience", "it is close to an outer body experience" ]
it is close to an out of body experience
it is close to an out of body experience.
it is closer than out of bullets parents. it is closer and out of bullets parents. it is close to an out of body experience. it is close to an outer body experience.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is close to an out of body experience', 'it is closer than out of bullets parents', 'it is closer and out of bullets parents', 'it is close to an out of body experience', 'it is close to an outer body experience']
[ "some sources name a third son named alex", "some sources name a third son named lalex", "some sources name a third son named lilix", "some sources name a third sun named lalex", "some sources name a third son named alex" ]
some sources name a third son named lelex
some sources name a third son named alex.
some sources name a third son named lalex. some sources name a third son named lilix. some sources name a third sun named lalex. some sources name a third son named alex.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some sources name a third son named alex', 'some sources name a third son named lalex', 'some sources name a third son named lilix', 'some sources name a third sun named lalex', 'some sources name a third son named alex']
[ "this is best illustrated in the diagram opposite", "and this is best illustrated in the diagram opposite", "this is best illustrated in the diagram opposite", "and this is best illustrated in the diagram opposite", "this is best illustrated in the diagram opposite" ]
this is best illustrated in the diagram opposite
this is best illustrated in the diagram opposite.
and this is best illustrated in the diagram opposite. this is best illustrated in the diagram opposite. and this is best illustrated in the diagram opposite. this is best illustrated in the diagram opposite.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is best illustrated in the diagram opposite', 'and this is best illustrated in the diagram opposite', 'this is best illustrated in the diagram opposite', 'and this is best illustrated in the diagram opposite', 'this is best illustrated in the diagram opposite']
[ "two people are working towards a wooded building", "two people are working towards a wooded building", "two people are working towards a wooded building", "two people are walking towards a wooded building", "two people are working towards a wooded building" ]
two people are walking towards a wooded building
two people are working towards a wooded building.
two people are working towards a wooded building. two people are working towards a wooded building. two people are walking towards a wooded building. two people are working towards a wooded building.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two people are working towards a wooded building', 'two people are working towards a wooded building', 'two people are working towards a wooded building', 'two people are walking towards a wooded building', 'two people are working towards a wooded building']
[ "alternatively we can use this argument to motivate introducing new axioms to set theory", "alternatively we can use this argument to motivate introducing new axioms set theory", "alternatively we can use this argument to motivate introducing new axes to set theory", "alternatively we can use this argument to motivate introducing new axioms to set theory", "alternatively we can use this argument to motivate introducing new axiom is set theory" ]
alternatively we can use this argument to motivate introducing new axioms for set theory
alternatively we can use this argument to motivate introducing new axioms to set theory.
alternatively we can use this argument to motivate introducing new axioms set theory. alternatively we can use this argument to motivate introducing new axes to set theory. alternatively we can use this argument to motivate introducing new axioms to set theory. alternatively we can use this argument to motivate introducing new axiom is set theory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['alternatively we can use this argument to motivate introducing new axioms to set theory', 'alternatively we can use this argument to motivate introducing new axioms set theory', 'alternatively we can use this argument to motivate introducing new axes to set theory', 'alternatively we can use this argument to motivate introducing new axioms to set theory', 'alternatively we can use this argument to motivate introducing new axiom is set theory']
[ "this case was fought with chaffa cakes", "this case was fought with chaffa cakes", "this case was fought with chaffer cakes", "this case was fought with chafa cakes", "this case was fought with chaffa cakes" ]
this case was fought with jaffacakes
this case was fought with chaffa cakes.
this case was fought with chaffa cakes. this case was fought with chaffer cakes. this case was fought with chafa cakes. this case was fought with chaffa cakes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this case was fought with chaffa cakes', 'this case was fought with chaffa cakes', 'this case was fought with chaffer cakes', 'this case was fought with chafa cakes', 'this case was fought with chaffa cakes']
[ "todd mccarthy of variety called it a vanity production of the first order", "todd mccarthy of variety called it a venti production of the first order", "todd mccarthy of variety called it a vented production of the first order", "todd mccarthy of variety called it a venti production of the first order", "todd mccarthy of variety called it a venti production of the first order" ]
todd mccarthy of variety called it a vanity production of the first order
todd mccarthy of variety called it a vanity production of the first order.
todd mccarthy of variety called it a venti production of the first order. todd mccarthy of variety called it a vented production of the first order. todd mccarthy of variety called it a venti production of the first order. todd mccarthy of variety called it a venti production of the first order.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['todd mccarthy of variety called it a vanity production of the first order', 'todd mccarthy of variety called it a venti production of the first order', 'todd mccarthy of variety called it a vented production of the first order', 'todd mccarthy of variety called it a venti production of the first order', 'todd mccarthy of variety called it a venti production of the first order']
[ "it is true", "it is true", "it is true", "it is true", "it is true" ]
it is true
it is true.
it is true. it is true. it is true. it is true.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is true', 'it is true', 'it is true', 'it is true', 'it is true']
[ "i knew the worst now and was composed to it", "i knew the worst now and was composed to it", "i knew the worst now and was composed to it", "i knew the worst now and was composed to it", "i knew the worst now and was composed to it" ]
i knew the worst now and was composed to it
i knew the worst now and was composed to it.
i knew the worst now and was composed to it. i knew the worst now and was composed to it. i knew the worst now and was composed to it. i knew the worst now and was composed to it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i knew the worst now and was composed to it', 'i knew the worst now and was composed to it', 'i knew the worst now and was composed to it', 'i knew the worst now and was composed to it', 'i knew the worst now and was composed to it']
[ "at the same time kent resisted many innovations for characteristic for rural east flanders", "at the same time kent resisted many innovations for characteristic for rural east flandas", "at the same time kent resisted many innovations for characteristic for rural east flanders", "at the same time kant resisted many innovations for characteristic for rural east flanders", "at the same time hant resisted many innovations for characteristic for rural east flanders" ]
at the same time ghent resisted many innovations characteristic for rural east flanders
at the same time kent resisted many innovations for characteristic for rural east flanders.
at the same time kent resisted many innovations for characteristic for rural east flandas. at the same time kent resisted many innovations for characteristic for rural east flanders. at the same time kant resisted many innovations for characteristic for rural east flanders. at the same time hant resisted many innovations for characteristic for rural east flanders.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at the same time kent resisted many innovations for characteristic for rural east flanders', 'at the same time kent resisted many innovations for characteristic for rural east flandas', 'at the same time kent resisted many innovations for characteristic for rural east flanders', 'at the same time kant resisted many innovations for characteristic for rural east flanders', 'at the same time hant resisted many innovations for characteristic for rural east flanders']
[ "jinesse wave this provisor and the group continued with replacement bassist a evans", "janess wave this provisor and the group continued with replacement bassist a evans", "jinesse wave this proviso and the group continued with replacement bassist a evans", "janess wave this provisor and the group continued with replacement bassist a evans", "janess waive this provisor and the group continued with replacement bassist a evans" ]
jenness waived this proviso and the group continued with replacement bassist ean evans
jinesse wave this provisor and the group continued with replacement bassist a evans.
janess wave this provisor and the group continued with replacement bassist a evans. jinesse wave this proviso and the group continued with replacement bassist a evans. janess wave this provisor and the group continued with replacement bassist a evans. janess waive this provisor and the group continued with replacement bassist a evans.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jinesse wave this provisor and the group continued with replacement bassist a evans', 'janess wave this provisor and the group continued with replacement bassist a evans', 'jinesse wave this proviso and the group continued with replacement bassist a evans', 'janess wave this provisor and the group continued with replacement bassist a evans', 'janess waive this provisor and the group continued with replacement bassist a evans']
[ "but i tried", "but i tried", "but i tried", "but i tried", "but i tried" ]
but i tried
but i tried.
but i tried. but i tried. but i tried. but i tried.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but i tried', 'but i tried', 'but i tried', 'but i tried', 'but i tried']
[ "the show is feature rural characters and humorous and sometimes observed situations", "the show is feature rural characters and humorous and sometimes absurd situations", "this shows feature rural characters and humorous and sometimes observed situations", "the shows feature rural characters and humorous and sometimes observed situations", "the show is feature rural characters and humorous and sometimes observe situations" ]
the shows feature rural characters in humorous and sometimes absurd situations
the show is feature rural characters and humorous and sometimes observed situations.
the show is feature rural characters and humorous and sometimes absurd situations. this shows feature rural characters and humorous and sometimes observed situations. the shows feature rural characters and humorous and sometimes observed situations. the show is feature rural characters and humorous and sometimes observe situations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the show is feature rural characters and humorous and sometimes observed situations', 'the show is feature rural characters and humorous and sometimes absurd situations', 'this shows feature rural characters and humorous and sometimes observed situations', 'the shows feature rural characters and humorous and sometimes observed situations', 'the show is feature rural characters and humorous and sometimes observe situations']
[ "because which are preserved inside the brain we loaded through hatches in the roof", "because which are preserved inside brine we loaded through hatches in the roof", "because we are preserved inside the brain we loaded through hatches in the roof", "because which are preserved inside the brain we loaded through hatches in the roof", "because we are preserved in salt brine we loaded through hatches in the roof" ]
pickles which are preserved in salt brine were loaded through hatches in the roof
because which are preserved inside the brain we loaded through hatches in the roof.
because which are preserved inside brine we loaded through hatches in the roof. because we are preserved inside the brain we loaded through hatches in the roof. because which are preserved inside the brain we loaded through hatches in the roof. because we are preserved in salt brine we loaded through hatches in the roof.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because which are preserved inside the brain we loaded through hatches in the roof', 'because which are preserved inside brine we loaded through hatches in the roof', 'because we are preserved inside the brain we loaded through hatches in the roof', 'because which are preserved inside the brain we loaded through hatches in the roof', 'because we are preserved in salt brine we loaded through hatches in the roof']
[ "rose stood still in conjunction with his printed dessaso close shilling", "rose stood still in conjunction with this printed dessaso clothed shelling", "rose stood still in conjunction with his printed dessaso clothed shelling", "rose stood still in conjunction with his pretty disso close shilling", "rose stood still in conjunction with this printed dessaso close shilling" ]
rose stood still in conjunction with his predecessor claus schilling
rose stood still in conjunction with his printed dessaso close shilling.
rose stood still in conjunction with this printed dessaso clothed shelling. rose stood still in conjunction with his printed dessaso clothed shelling. rose stood still in conjunction with his pretty disso close shilling. rose stood still in conjunction with this printed dessaso close shilling.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rose stood still in conjunction with his printed dessaso close shilling', 'rose stood still in conjunction with this printed dessaso clothed shelling', 'rose stood still in conjunction with his printed dessaso clothed shelling', 'rose stood still in conjunction with his pretty disso close shilling', 'rose stood still in conjunction with this printed dessaso close shilling']
[ "at the time bus", "at the time boss", "at the time bus", "at the time bus", "at the time boss" ]
at the time bus
at the time bus.
at the time boss. at the time bus. at the time bus. at the time boss.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at the time bus', 'at the time boss', 'at the time bus', 'at the time bus', 'at the time boss']
[ "while alone pharaoh stumbled upon sabretooth", "while alone pharaoh stumbled upon sabretooth", "while alone fear will stumble upon the saber tooth", "while alone fear will stumble upon the saber tooth", "while alone pharaoh stumbled upon saber tooth" ]
while alone feral stumbled upon sabretooth
while alone pharaoh stumbled upon sabretooth.
while alone pharaoh stumbled upon sabretooth. while alone fear will stumble upon the saber tooth. while alone fear will stumble upon the saber tooth. while alone pharaoh stumbled upon saber tooth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['while alone pharaoh stumbled upon sabretooth', 'while alone pharaoh stumbled upon sabretooth', 'while alone fear will stumble upon the saber tooth', 'while alone fear will stumble upon the saber tooth', 'while alone pharaoh stumbled upon saber tooth']
[ "many new blazing manufacturers also offer pacifier attachments for infants and toddlers", "many nebulizing manufacturers also offer pacifier attachments for infants and toddlers", "many new blazing manufactures also offer pacifier attachments for infants and toddlers", "many new blazing manufacturers also offer pacifier advertisements for infants and toddlers", "many new blazing manufacturers also offer pacifier attachments for infants and codeners" ]
many nebulizer manufacturers also offer pacifier attachments for infants and toddlers
many new blazing manufacturers also offer pacifier attachments for infants and toddlers.
many nebulizing manufacturers also offer pacifier attachments for infants and toddlers. many new blazing manufactures also offer pacifier attachments for infants and toddlers. many new blazing manufacturers also offer pacifier advertisements for infants and toddlers. many new blazing manufacturers also offer pacifier attachments for infants and codeners.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many new blazing manufacturers also offer pacifier attachments for infants and toddlers', 'many nebulizing manufacturers also offer pacifier attachments for infants and toddlers', 'many new blazing manufactures also offer pacifier attachments for infants and toddlers', 'many new blazing manufacturers also offer pacifier advertisements for infants and toddlers', 'many new blazing manufacturers also offer pacifier attachments for infants and codeners']
[ "in two thousand the album debuted at number twenty-six", "in two thousand the album debuted at no twenty-six", "in two thousand and seventeen the album debuted at number twenty-six", "in two thousand and seventeen the album debuted at no twenty-six", "in two thousand and thirteen the album debuted at number twenty-six" ]
in switzerland the album debuted at number twenty six
in two thousand the album debuted at number twenty-six.
in two thousand the album debuted at no twenty-six. in two thousand and seventeen the album debuted at number twenty-six. in two thousand and seventeen the album debuted at no twenty-six. in two thousand and thirteen the album debuted at number twenty-six.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in two thousand the album debuted at number twenty-six', 'in two thousand the album debuted at no twenty-six', 'in two thousand and seventeen the album debuted at number twenty-six', 'in two thousand and seventeen the album debuted at no twenty-six', 'in two thousand and thirteen the album debuted at number twenty-six']
[ "it is located in western hanun province", "it is located in western hanan province", "it is located in western hanan province", "it is located in western hannaan province", "it is located in western hanan province" ]
it is located in western hunan province
it is located in western hanun province.
it is located in western hanan province. it is located in western hanan province. it is located in western hannaan province. it is located in western hanan province.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is located in western hanun province', 'it is located in western hanan province', 'it is located in western hanan province', 'it is located in western hannaan province', 'it is located in western hanan province']
[ "the character of johnny was based on will", "the character of johnny was based on will", "the character of johnny was based on will", "the character of jonny was based on will", "the character of johnny was based on will" ]
the character of johnny was based on will
the character of johnny was based on will.
the character of johnny was based on will. the character of johnny was based on will. the character of jonny was based on will. the character of johnny was based on will.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the character of johnny was based on will', 'the character of johnny was based on will', 'the character of johnny was based on will', 'the character of jonny was based on will', 'the character of johnny was based on will']
[ "it was one mile long and three for longs wide", "it was one mile long and three for long is wide", "it was one mile long and three for longs wide", "it was one mile long and three for long is wide", "it was one mile long and three for longs wide" ]
it was one mile long and three furlongs wide
it was one mile long and three for longs wide.
it was one mile long and three for long is wide. it was one mile long and three for longs wide. it was one mile long and three for long is wide. it was one mile long and three for longs wide.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was one mile long and three for longs wide', 'it was one mile long and three for long is wide', 'it was one mile long and three for longs wide', 'it was one mile long and three for long is wide', 'it was one mile long and three for longs wide']
[ "different on show countries treat income rising from offshore funds in different ways", "different on shore countries treat income rising from offshore funds in different ways", "different on show countries treat income arising from offshore funds in different ways", "different on show countries treat income verizing from offshore funds in different ways", "different on shore countries treat income arising from offshore funds in different ways" ]
different onshore countries treat income arising from offshore funds in different ways
different on show countries treat income rising from offshore funds in different ways.
different on shore countries treat income rising from offshore funds in different ways. different on show countries treat income arising from offshore funds in different ways. different on show countries treat income verizing from offshore funds in different ways. different on shore countries treat income arising from offshore funds in different ways.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['different on show countries treat income rising from offshore funds in different ways', 'different on shore countries treat income rising from offshore funds in different ways', 'different on show countries treat income arising from offshore funds in different ways', 'different on show countries treat income verizing from offshore funds in different ways', 'different on shore countries treat income arising from offshore funds in different ways']
[ "the operator in most cases is new their voice or new the person being called", "the operator in most cases is new their voice or new the person being called", "the operator in most cases is new their voice or new the person being called", "the operator in most cases knew their voice or knew the person being called", "the operator in most cases is new their voice or new the person being called" ]
the operator in most cases knew their voice or knew the person being called
the operator in most cases is new their voice or new the person being called.
the operator in most cases is new their voice or new the person being called. the operator in most cases is new their voice or new the person being called. the operator in most cases knew their voice or knew the person being called. the operator in most cases is new their voice or new the person being called.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the operator in most cases is new their voice or new the person being called', 'the operator in most cases is new their voice or new the person being called', 'the operator in most cases is new their voice or new the person being called', 'the operator in most cases knew their voice or knew the person being called', 'the operator in most cases is new their voice or new the person being called']