hypothesis
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5.37k
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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'] |
End of preview. Expand
in Dataset Viewer.
Dataset Name: Pilot dataset for Multi-domain ASR corrections
Description
This dataset is a pilot version of a larger dataset for automatic speech recognition (ASR) corrections across multiple domains. It contains paired hypotheses and corrected transcriptions for various ASR tasks consolidated from PeacefulData/HyPoradise-v0
Structure
Data Split
The dataset is divided into training and test splits:
- Training Data: 281,082 entries
- Approximately 6,255,198 tokens for transcriptions
- Approximately 31,211,083 tokens for concatenated hypotheses
- Test Data: 16,108 entries
- Approximately 327,750 tokens for transcriptions
- Approximately 1,629,093 tokens for concatenated hypotheses
Columns
hypothesis: N-best hypothesis from beam search.transcription: Corrected asr transcription.hypothesis_concatenated: An alternative version of the text output.source: The source of the text entry, indicating the origin dataset.prompt: Instructional prompt for correction taskscore: An acoustic model score (not all entries have this).
Source Datasets
The dataset combines entries from various sources:
Training Sources:
train_td3: 50,000 entriestrain_other_500: 50,000 entriestrain_cv: 47,293 entriestrain_lrs2: 42,940 entriestrain_wsj_score: 37,514 entries ## disable for challengetrain_swbd: 36,539 entriestrain_chime4: 9,600 entriestrain_coraal: 3,232 entries
Test Sources:
test_ls_other: 2,939 entriestest_ls_clean: 2,620 entriestest_lrs2: 2,259 entriestest_swbd: 2,000 entriestest_cv: 2,000 entriestest_chime4: 1,320 entriestest_td3: 1,155 entriestest_coraal: 170 entries
Diff from NeurIPS 23 we remove follow n-best for SLT challenge
train_wsj_score: 37,514 entriestrain_atis: 3,964 entriestest_wsj_score: 836 entriestest_atis: 809 entries
Access
The dataset can be accessed and downloaded through the HuggingFace Datasets library. Use the following command to load the dataset:
from datasets import load_dataset
dataset = load_dataset("PeacefulData/HyPoradise-pilot")
Acknowledgments
This dataset is consolidated from the PeacefulData/HyPoradise-v0 dataset. Thanks to the original creators for making this data available.
References
@inproceedings{yang2023generative,
title={Generative speech recognition error correction with large language models and task-activating prompting},
author={Yang, Chao-Han Huck and Gu, Yile and Liu, Yi-Chieh and Ghosh, Shalini and Bulyko, Ivan and Stolcke, Andreas},
booktitle={2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
pages={1--8},
year={2023},
organization={IEEE}
}
@inproceedings{chen2023hyporadise,
title={HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models},
author={CHEN, CHEN and Hu, Yuchen and Yang, Chao-Han Huck and Siniscalchi, Sabato Marco and Chen, Pin-Yu and Chng, Ensiong},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2023}
}
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