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[ "portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior", "portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior", "portrait tinesis aremita was originally interpreted as the early evidence of her crab like behavior", "portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior", "portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior" ]
protichnites eremita was originally interpreted as early evidence of hermit crab like behavior
portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior.
portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior. portrait tinesis aremita was originally interpreted as the early evidence of her crab like behavior. portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior. portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior', 'portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior', 'portrait tinesis aremita was originally interpreted as the early evidence of her crab like behavior', 'portrait tinesis arimeter was originally interpreted as the early evidence of her crab like behavior', 'portrait tinesis aramita was originally interpreted as the early evidence of her crab like behavior']
[ "it has since been continued by chris cassett gary brookens and susie mcnally", "it has since been continued by chris cassett gary brookens and susie mcnally", "it has since been continued by chris cassett gary brookings and susie mcnally", "it has since been continued by chris cassett gary brogans and susie mcnally", "it has since been continued by chris cassett gary brookings and susie mcnally" ]
it has since been continued by chris cassatt gary brookins and susie macnelly
it has since been continued by chris cassett gary brookens and susie mcnally.
it has since been continued by chris cassett gary brookens and susie mcnally. it has since been continued by chris cassett gary brookings and susie mcnally. it has since been continued by chris cassett gary brogans and susie mcnally. it has since been continued by chris cassett gary brookings and susie mcnally.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has since been continued by chris cassett gary brookens and susie mcnally', 'it has since been continued by chris cassett gary brookens and susie mcnally', 'it has since been continued by chris cassett gary brookings and susie mcnally', 'it has since been continued by chris cassett gary brogans and susie mcnally', 'it has since been continued by chris cassett gary brookings and susie mcnally']
[ "i need to go to the library before my book is over you", "i need to go to the library before my book is over to you", "i need to go to the library before my book is over to you", "i need to go to the library before my book is over you", "i need to go to the library before my book is over you" ]
i need to go to the library before my book is overdue
i need to go to the library before my book is over you.
i need to go to the library before my book is over to you. i need to go to the library before my book is over to you. i need to go to the library before my book is over you. i need to go to the library before my book is over you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i need to go to the library before my book is over you', 'i need to go to the library before my book is over to you', 'i need to go to the library before my book is over to you', 'i need to go to the library before my book is over you', 'i need to go to the library before my book is over you']
[ "brown then became manager of saint john stone", "brown then became manager of saint johnstone", "brown then became manager of saint johnstone", "brown then became manager of saint john stone", "brown then became manager of saint johnstone" ]
brown then became manager of saint johnstone
brown then became manager of saint john stone.
brown then became manager of saint johnstone. brown then became manager of saint johnstone. brown then became manager of saint john stone. brown then became manager of saint johnstone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['brown then became manager of saint john stone', 'brown then became manager of saint johnstone', 'brown then became manager of saint johnstone', 'brown then became manager of saint john stone', 'brown then became manager of saint johnstone']
[ "he wants to challenge himself in the national rugby league", "he wants to challenge himself in the national rugby league", "he wants to challenge himself in the national rugby league", "he wants to challenge himself in the national rugby league", "he wants to challenge himself in the national rugby league" ]
he wants to challenge himself in the national rugby league
he wants to challenge himself in the national rugby league.
he wants to challenge himself in the national rugby league. he wants to challenge himself in the national rugby league. he wants to challenge himself in the national rugby league. he wants to challenge himself in the national rugby league.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he wants to challenge himself in the national rugby league', 'he wants to challenge himself in the national rugby league', 'he wants to challenge himself in the national rugby league', 'he wants to challenge himself in the national rugby league', 'he wants to challenge himself in the national rugby league']
[ "the book has an introduction and four sections with fifteen chapters in total", "the book has an introduction and four sections with fifteen chapters in total", "the book has an introduction and four sections with fifteen chapters in total", "the book has an introduction and four sections with fifteen chapters in total", "the book has an introduction and four sections with fifteen chapters in total" ]
the book has an introduction and four sections with fifteen chapters in total
the book has an introduction and four sections with fifteen chapters in total.
the book has an introduction and four sections with fifteen chapters in total. the book has an introduction and four sections with fifteen chapters in total. the book has an introduction and four sections with fifteen chapters in total. the book has an introduction and four sections with fifteen chapters in total.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the book has an introduction and four sections with fifteen chapters in total', 'the book has an introduction and four sections with fifteen chapters in total', 'the book has an introduction and four sections with fifteen chapters in total', 'the book has an introduction and four sections with fifteen chapters in total', 'the book has an introduction and four sections with fifteen chapters in total']
[ "i say joe how is grandpa this week pretty amiable", "i say joe how was grandpa this week pretty amiable", "i say joe how is grandpart this week pretty amiable", "i say joe how is grandpa this week pretty amiable", "i say joe how was grandpart this week pretty amiable" ]
i say jo how is grandpa this week pretty amiable
i say joe how is grandpa this week pretty amiable.
i say joe how was grandpa this week pretty amiable. i say joe how is grandpart this week pretty amiable. i say joe how is grandpa this week pretty amiable. i say joe how was grandpart this week pretty amiable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i say joe how is grandpa this week pretty amiable', 'i say joe how was grandpa this week pretty amiable', 'i say joe how is grandpart this week pretty amiable', 'i say joe how is grandpa this week pretty amiable', 'i say joe how was grandpart this week pretty amiable']
[ "the first cartoon aired during this time is doraemon", "the first cartoon aired during this time is doremon", "the first cartoon ed during this time is doraemon", "the first cartoon aired during this time as doraemon", "the first cartoon aired during this time as doremon" ]
the first cartoon aired during this time is doraemon
the first cartoon aired during this time is doraemon.
the first cartoon aired during this time is doremon. the first cartoon ed during this time is doraemon. the first cartoon aired during this time as doraemon. the first cartoon aired during this time as doremon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first cartoon aired during this time is doraemon', 'the first cartoon aired during this time is doremon', 'the first cartoon ed during this time is doraemon', 'the first cartoon aired during this time as doraemon', 'the first cartoon aired during this time as doremon']
[ "is a cultural representation of white fear of asian female sexuality", "a cultural representation of white fear of asian female sexuality", "the dragon lady is a cultural representation of white fear of asian female sexuality", "the jagan lady is a cultural representation of white fear of asian female sexuality", "the jagan lady is a cultural representation of white fear of asian female sexuality" ]
the dragon lady is a cultural representation of white fear of asian female sexuality
is a cultural representation of white fear of asian female sexuality.
a cultural representation of white fear of asian female sexuality. the dragon lady is a cultural representation of white fear of asian female sexuality. the jagan lady is a cultural representation of white fear of asian female sexuality. the jagan lady is a cultural representation of white fear of asian female sexuality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is a cultural representation of white fear of asian female sexuality', 'a cultural representation of white fear of asian female sexuality', 'the dragon lady is a cultural representation of white fear of asian female sexuality', 'the jagan lady is a cultural representation of white fear of asian female sexuality', 'the jagan lady is a cultural representation of white fear of asian female sexuality']
[ "approximately a year later he began to experience complications related to the shootout", "approximately a year later he began to experience complications related to the shootout", "approximately a year later he began to experience complications related to the shoot out", "approximately a year later he began to experience complications related to the shoot out", "approximately a year later he began to experience complications related to the shoot out" ]
approximately a year later he began to experience complications related to the shootout
approximately a year later he began to experience complications related to the shootout.
approximately a year later he began to experience complications related to the shootout. approximately a year later he began to experience complications related to the shoot out. approximately a year later he began to experience complications related to the shoot out. approximately a year later he began to experience complications related to the shoot out.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['approximately a year later he began to experience complications related to the shootout', 'approximately a year later he began to experience complications related to the shootout', 'approximately a year later he began to experience complications related to the shoot out', 'approximately a year later he began to experience complications related to the shoot out', 'approximately a year later he began to experience complications related to the shoot out']
[ "the stream and valley are also called kolu anui", "the stream and valley are also called callua nui", "the stream and valley are also called callua newi", "the stream and valley are also called kolu anui", "the stream and valley are also called kuala nui" ]
the stream and valley are also called kaluanui
the stream and valley are also called kolu anui.
the stream and valley are also called callua nui. the stream and valley are also called callua newi. the stream and valley are also called kolu anui. the stream and valley are also called kuala nui.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the stream and valley are also called kolu anui', 'the stream and valley are also called callua nui', 'the stream and valley are also called callua newi', 'the stream and valley are also called kolu anui', 'the stream and valley are also called kuala nui']
[ "cheers federation and the american mining history association", "chase federation and the american mining history association", "cheese federation and the american mining history association", "cheese federation and the american mining history association", "cheers federation and the american mining history association" ]
chess federation and the american mining history association
cheers federation and the american mining history association.
chase federation and the american mining history association. cheese federation and the american mining history association. cheese federation and the american mining history association. cheers federation and the american mining history association.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cheers federation and the american mining history association', 'chase federation and the american mining history association', 'cheese federation and the american mining history association', 'cheese federation and the american mining history association', 'cheers federation and the american mining history association']
[ "past composers in association have included b tommy anderson", "past composers and association have included b tommy anderson", "past composers and associations have included b tommy anderson", "past composers in association have included beat tommy anderson", "past composers in association have included b tomi anderson" ]
past composers in association have included b tommy andersson
past composers in association have included b tommy anderson.
past composers and association have included b tommy anderson. past composers and associations have included b tommy anderson. past composers in association have included beat tommy anderson. past composers in association have included b tomi anderson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['past composers in association have included b tommy anderson', 'past composers and association have included b tommy anderson', 'past composers and associations have included b tommy anderson', 'past composers in association have included beat tommy anderson', 'past composers in association have included b tomi anderson']
[ "for example he decorated the castle cough time", "for example he decorated the castle calthane", "for example he decorated the castle calftain", "for example he decorated the castle calftain", "for example he decorated the castle half time" ]
for example he decorated the castle karlstejn
for example he decorated the castle cough time.
for example he decorated the castle calthane. for example he decorated the castle calftain. for example he decorated the castle calftain. for example he decorated the castle half time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for example he decorated the castle cough time', 'for example he decorated the castle calthane', 'for example he decorated the castle calftain', 'for example he decorated the castle calftain', 'for example he decorated the castle half time']
[ "all are of plaster cast by p p capronian brother", "all are of plastic cost by p p capronian brother", "all are of plastic ice by p p capronian brother", "all are of plastic costs by p p capronian brother", "all are of plaster costs by p p capronian brother" ]
all are of plaster cast by p p caproni and brother
all are of plaster cast by p p capronian brother.
all are of plastic cost by p p capronian brother. all are of plastic ice by p p capronian brother. all are of plastic costs by p p capronian brother. all are of plaster costs by p p capronian brother.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all are of plaster cast by p p capronian brother', 'all are of plastic cost by p p capronian brother', 'all are of plastic ice by p p capronian brother', 'all are of plastic costs by p p capronian brother', 'all are of plaster costs by p p capronian brother']
[ "records note that the room began to cheer after the announcement was made", "records note that the room began to cheer up after the announcement was made", "records are not that the room began to cheer after the announcement was made", "records note that the room began to cheer after the announcement was made", "records are not that the room began to cheer after the announcement was made" ]
records note that the room began to cheer after the announcement was made
records note that the room began to cheer after the announcement was made.
records note that the room began to cheer up after the announcement was made. records are not that the room began to cheer after the announcement was made. records note that the room began to cheer after the announcement was made. records are not that the room began to cheer after the announcement was made.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['records note that the room began to cheer after the announcement was made', 'records note that the room began to cheer up after the announcement was made', 'records are not that the room began to cheer after the announcement was made', 'records note that the room began to cheer after the announcement was made', 'records are not that the room began to cheer after the announcement was made']
[ "the village itself is in fact located further north from the side of the station", "the village itself is in fact located further north from the site of the station", "the relationship itself is in fact located further north from the side of the station", "the relationship itself is in fact located further north from the site of the station", "the relaunch itself is in fact located further north from the side of the station" ]
the village itself is in fact located further north from the site of the station
the village itself is in fact located further north from the side of the station.
the village itself is in fact located further north from the site of the station. the relationship itself is in fact located further north from the side of the station. the relationship itself is in fact located further north from the site of the station. the relaunch itself is in fact located further north from the side of the station.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village itself is in fact located further north from the side of the station', 'the village itself is in fact located further north from the site of the station', 'the relationship itself is in fact located further north from the side of the station', 'the relationship itself is in fact located further north from the site of the station', 'the relaunch itself is in fact located further north from the side of the station']
[ "he lives in bethesda maryland and falls village connected", "he lives in bethesda maryland and falls village connectivity", "he lives in bethesda maryland and falls village connectivity", "he lives in bethesda maryland and falls village connected", "he lives in bethesda maryland and falls village connected good" ]
he lives in bethesda maryland and falls village connecticut
he lives in bethesda maryland and falls village connected.
he lives in bethesda maryland and falls village connectivity. he lives in bethesda maryland and falls village connectivity. he lives in bethesda maryland and falls village connected. he lives in bethesda maryland and falls village connected good.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he lives in bethesda maryland and falls village connected', 'he lives in bethesda maryland and falls village connectivity', 'he lives in bethesda maryland and falls village connectivity', 'he lives in bethesda maryland and falls village connected', 'he lives in bethesda maryland and falls village connected good']
[ "however portland international airport is in one hour drive west of ruby river", "however portland international airport is in one hour drive west of guberville", "however portland international airport is in one hour drive west of guadalupe", "however portland international airport is in one hour drive west of guidoville", "however portland international airport is in one hour drive west of guadalupe" ]
however portland international airport is a one hour drive west of hood river
however portland international airport is in one hour drive west of ruby river.
however portland international airport is in one hour drive west of guberville. however portland international airport is in one hour drive west of guadalupe. however portland international airport is in one hour drive west of guidoville. however portland international airport is in one hour drive west of guadalupe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however portland international airport is in one hour drive west of ruby river', 'however portland international airport is in one hour drive west of guberville', 'however portland international airport is in one hour drive west of guadalupe', 'however portland international airport is in one hour drive west of guidoville', 'however portland international airport is in one hour drive west of guadalupe']
[ "buyers may perceive that cost plus pricing is a reasonable approach", "buyers may perceive that cost plus pricing is reasonable approach", "byers may perceive that cost plus pricing is a reasonable approach", "byers may perceive that cost plus pricing is reasonable approach", "byers may perceive that cost plus pricing is a reasonable approach" ]
buyers may perceive that cost plus pricing is a reasonable approach
buyers may perceive that cost plus pricing is a reasonable approach.
buyers may perceive that cost plus pricing is reasonable approach. byers may perceive that cost plus pricing is a reasonable approach. byers may perceive that cost plus pricing is reasonable approach. byers may perceive that cost plus pricing is a reasonable approach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['buyers may perceive that cost plus pricing is a reasonable approach', 'buyers may perceive that cost plus pricing is reasonable approach', 'byers may perceive that cost plus pricing is a reasonable approach', 'byers may perceive that cost plus pricing is reasonable approach', 'byers may perceive that cost plus pricing is a reasonable approach']
[ "episodes are listed in production number order not production order or day added order", "episodes are listed in production number order not production order or day added order", "episodes were listed in production number order not production order or day added order", "episodes are listed in production number order not production order or data data order", "episodes are listed in production number order not production order or the added order" ]
episodes are listed in production number order not production order or air date order
episodes are listed in production number order not production order or day added order.
episodes are listed in production number order not production order or day added order. episodes were listed in production number order not production order or day added order. episodes are listed in production number order not production order or data data order. episodes are listed in production number order not production order or the added order.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['episodes are listed in production number order not production order or day added order', 'episodes are listed in production number order not production order or day added order', 'episodes were listed in production number order not production order or day added order', 'episodes are listed in production number order not production order or data data order', 'episodes are listed in production number order not production order or the added order']
[ "it was only seventeen and she was twelve years older", "he was only seventeen and she was twelve years older", "who is only seventeen and she was twelve years older", "it was only seventeen and she was twelve years older", "he was only seventeen and she was twelve years older" ]
he was only seventeen and she was twelve years older
it was only seventeen and she was twelve years older.
he was only seventeen and she was twelve years older. who is only seventeen and she was twelve years older. it was only seventeen and she was twelve years older. he was only seventeen and she was twelve years older.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was only seventeen and she was twelve years older', 'he was only seventeen and she was twelve years older', 'who is only seventeen and she was twelve years older', 'it was only seventeen and she was twelve years older', 'he was only seventeen and she was twelve years older']
[ "the bill has been viewed as the parody of the american holmes botan act", "the bill has been viewed as the parody of the american homes botan act", "the bill has been viewed as the parody of the american homes built to act", "the bill has been viewed as the parody of the american holmes bulletin act", "the bill has been viewed as the parody of the american holmes botanact" ]
the bill has been viewed as a parody of the american helms burton act
the bill has been viewed as the parody of the american holmes botan act.
the bill has been viewed as the parody of the american homes botan act. the bill has been viewed as the parody of the american homes built to act. the bill has been viewed as the parody of the american holmes bulletin act. the bill has been viewed as the parody of the american holmes botanact.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bill has been viewed as the parody of the american holmes botan act', 'the bill has been viewed as the parody of the american homes botan act', 'the bill has been viewed as the parody of the american homes built to act', 'the bill has been viewed as the parody of the american holmes bulletin act', 'the bill has been viewed as the parody of the american holmes botanact']
[ "playing in the position of fullback he was noted for his aggressive attacking style", "playing in the position of full back he was noted for his aggressive attacking style", "playing in the position of fullback he was noted for his aggressive attacking style", "playing in the position of full back he was noted for his aggressive attacking style", "playing in the position of fullback he was noted for his aggressive attacking style" ]
playing in the position of fullback he was noted for his aggressive attacking style
playing in the position of fullback he was noted for his aggressive attacking style.
playing in the position of full back he was noted for his aggressive attacking style. playing in the position of fullback he was noted for his aggressive attacking style. playing in the position of full back he was noted for his aggressive attacking style. playing in the position of fullback he was noted for his aggressive attacking style.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['playing in the position of fullback he was noted for his aggressive attacking style', 'playing in the position of full back he was noted for his aggressive attacking style', 'playing in the position of fullback he was noted for his aggressive attacking style', 'playing in the position of full back he was noted for his aggressive attacking style', 'playing in the position of fullback he was noted for his aggressive attacking style']
[ "it is high end in diameter", "it is high hand in diameter", "it is high hand in diameter", "it is high end in diameter", "it is high and in diameter" ]
it is high and in diameter
it is high end in diameter.
it is high hand in diameter. it is high hand in diameter. it is high end in diameter. it is high and in diameter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is high end in diameter', 'it is high hand in diameter', 'it is high hand in diameter', 'it is high end in diameter', 'it is high and in diameter']
[ "other habitat types include wetlands and crop land", "other habitat types include wetlands and cropland", "other habitat types include wetlands and crockland", "other habitat types include wetlands and cropland", "other habitat types include wetlands and crockland" ]
other habitat types include wetlands and cropland
other habitat types include wetlands and crop land.
other habitat types include wetlands and cropland. other habitat types include wetlands and crockland. other habitat types include wetlands and cropland. other habitat types include wetlands and crockland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other habitat types include wetlands and crop land', 'other habitat types include wetlands and cropland', 'other habitat types include wetlands and crockland', 'other habitat types include wetlands and cropland', 'other habitat types include wetlands and crockland']
[ "he at length became a franciscan monk of canterbury", "he at length became a franciscan monk of canterbury", "he at length became a franciscan monk of canterbury", "he at length became a franciscan monk of canterbury", "he at length became a franciscan monk of canterbury" ]
he at length became a franciscan monk of canterbury
he at length became a franciscan monk of canterbury.
he at length became a franciscan monk of canterbury. he at length became a franciscan monk of canterbury. he at length became a franciscan monk of canterbury. he at length became a franciscan monk of canterbury.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he at length became a franciscan monk of canterbury', 'he at length became a franciscan monk of canterbury', 'he at length became a franciscan monk of canterbury', 'he at length became a franciscan monk of canterbury', 'he at length became a franciscan monk of canterbury']
[ "kahai decided to go in a venge is father", "kahai decided to go in avenge his father", "kahai decided to go in a vinji is father", "kaihai decided to go in a venge is father", "kaihai decided to go in avenge his father" ]
kaha i decided to go and avenge his father
kahai decided to go in a venge is father.
kahai decided to go in avenge his father. kahai decided to go in a vinji is father. kaihai decided to go in a venge is father. kaihai decided to go in avenge his father.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kahai decided to go in a venge is father', 'kahai decided to go in avenge his father', 'kahai decided to go in a vinji is father', 'kaihai decided to go in a venge is father', 'kaihai decided to go in avenge his father']
[ "and the foundation stone of service in his case was obedience", "and the foundation stone of service in his case was obedience", "and the foundation stone of service in his case was obedience", "and the foundation stone of service in his case was obedience", "and the foundation is stone of service in his case was obedience" ]
and the foundation stone of service in his case was obedience
and the foundation stone of service in his case was obedience.
and the foundation stone of service in his case was obedience. and the foundation stone of service in his case was obedience. and the foundation stone of service in his case was obedience. and the foundation is stone of service in his case was obedience.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and the foundation stone of service in his case was obedience', 'and the foundation stone of service in his case was obedience', 'and the foundation stone of service in his case was obedience', 'and the foundation stone of service in his case was obedience', 'and the foundation is stone of service in his case was obedience']
[ "i met you on the sunday heard at the open championship in june", "i met you on the sunday heard at the open championship in june", "i met you at the sandy hood at the open championship in june", "amuchu and sandy heard at the open championship in june", "i met you on the saturday heard at the open championship in june" ]
amateur and sandy herd at the open championship in june
i met you on the sunday heard at the open championship in june.
i met you on the sunday heard at the open championship in june. i met you at the sandy hood at the open championship in june. amuchu and sandy heard at the open championship in june. i met you on the saturday heard at the open championship in june.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i met you on the sunday heard at the open championship in june', 'i met you on the sunday heard at the open championship in june', 'i met you at the sandy hood at the open championship in june', 'amuchu and sandy heard at the open championship in june', 'i met you on the saturday heard at the open championship in june']
[ "bola who has made minister for local government in the new cabinet", "bola who has made minister for local government in a new cabinet", "bola who has made minister for local government in the new cabinet", "bola who has made minister for local government in the new cabinet", "bola who has made minister for local government in the new cabinet" ]
boland was made minister for local government in the new cabinet
bola who has made minister for local government in the new cabinet.
bola who has made minister for local government in a new cabinet. bola who has made minister for local government in the new cabinet. bola who has made minister for local government in the new cabinet. bola who has made minister for local government in the new cabinet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bola who has made minister for local government in the new cabinet', 'bola who has made minister for local government in a new cabinet', 'bola who has made minister for local government in the new cabinet', 'bola who has made minister for local government in the new cabinet', 'bola who has made minister for local government in the new cabinet']
[ "it was so accurate to what was going on", "it was so accurate to what was going on", "it was so accurate to what was going on", "it was so accurate to what was going on", "it was so accurate to what was going on" ]
it was so accurate to what was going on
it was so accurate to what was going on.
it was so accurate to what was going on. it was so accurate to what was going on. it was so accurate to what was going on. it was so accurate to what was going on.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was so accurate to what was going on', 'it was so accurate to what was going on', 'it was so accurate to what was going on', 'it was so accurate to what was going on', 'it was so accurate to what was going on']
[ "two dogs play tug of war with a dark object in the snow", "two dogs play tug of war with the dark object in the snow", "two dogs play tug of war with a dark object in the snow", "two dogs play tug of war with the dark object in the snow", "two dogs play tug of war with a dark object in the snow" ]
two dogs play tugofwar with a dark object in the snow
two dogs play tug of war with a dark object in the snow.
two dogs play tug of war with the dark object in the snow. two dogs play tug of war with a dark object in the snow. two dogs play tug of war with the dark object in the snow. two dogs play tug of war with a dark object in the snow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two dogs play tug of war with a dark object in the snow', 'two dogs play tug of war with the dark object in the snow', 'two dogs play tug of war with a dark object in the snow', 'two dogs play tug of war with the dark object in the snow', 'two dogs play tug of war with a dark object in the snow']
[ "no lectern is provided for the gospel reading in the armenian sanctuary", "no lectern is provided for the gospel reading in the armenian sanctuary", "no lectern is provided for the gospel reading in the armenian sanctuary", "no lectern is provided for the gospel reading in the armenian sanctuary", "no lectern is provided for the gospel reading in the armenian sanctuary" ]
no lectern is provided for the gospel reading in the armenian sanctuary
no lectern is provided for the gospel reading in the armenian sanctuary.
no lectern is provided for the gospel reading in the armenian sanctuary. no lectern is provided for the gospel reading in the armenian sanctuary. no lectern is provided for the gospel reading in the armenian sanctuary. no lectern is provided for the gospel reading in the armenian sanctuary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no lectern is provided for the gospel reading in the armenian sanctuary', 'no lectern is provided for the gospel reading in the armenian sanctuary', 'no lectern is provided for the gospel reading in the armenian sanctuary', 'no lectern is provided for the gospel reading in the armenian sanctuary', 'no lectern is provided for the gospel reading in the armenian sanctuary']
[ "we are a fellow he said", "well fellow he said", "we will follow he said", "well hello he said", "we are fellow he said" ]
poor fellow he said
we are a fellow he said.
well fellow he said. we will follow he said. well hello he said. we are fellow he said.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are a fellow he said', 'well fellow he said', 'we will follow he said', 'well hello he said', 'we are fellow he said']
[ "the latin name may possibly refer to their active periods collegor means darkness", "the latin name may possibly refer to their active periods collegal means darkness", "the latin name may possibly refer to their active periods colligo means darkness", "the latin name may possibly refer to their active periods colleger means darkness", "the latin name may possibly refer to their active periods colleague means darkness" ]
the latin name may possibly refer to their active periods caligo means darkness
the latin name may possibly refer to their active periods collegor means darkness.
the latin name may possibly refer to their active periods collegal means darkness. the latin name may possibly refer to their active periods colligo means darkness. the latin name may possibly refer to their active periods colleger means darkness. the latin name may possibly refer to their active periods colleague means darkness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the latin name may possibly refer to their active periods collegor means darkness', 'the latin name may possibly refer to their active periods collegal means darkness', 'the latin name may possibly refer to their active periods colligo means darkness', 'the latin name may possibly refer to their active periods colleger means darkness', 'the latin name may possibly refer to their active periods colleague means darkness']
[ "one of the patrons makes a racist comment to menu", "one of the patrons makes a racist comment to minute", "one of the patrons makes a racist comment to manure", "one of the patrons makes the racist comment to menu", "one of the patrons makes a racist comment to me new" ]
one of the patrons makes a racist comment to manu
one of the patrons makes a racist comment to menu.
one of the patrons makes a racist comment to minute. one of the patrons makes a racist comment to manure. one of the patrons makes the racist comment to menu. one of the patrons makes a racist comment to me new.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the patrons makes a racist comment to menu', 'one of the patrons makes a racist comment to minute', 'one of the patrons makes a racist comment to manure', 'one of the patrons makes the racist comment to menu', 'one of the patrons makes a racist comment to me new']
[ "all three buildings have been or currently are being converted for residential use", "all tree buildings have been or currently are being converted for residential use", "all three buildings have been or currently are being converted for residential use", "all tree buildings have been or currently are being converted for residential use", "all three buildings have been or currently are being converted for residential use" ]
all three buildings have been or currently are being converted for residential use
all three buildings have been or currently are being converted for residential use.
all tree buildings have been or currently are being converted for residential use. all three buildings have been or currently are being converted for residential use. all tree buildings have been or currently are being converted for residential use. all three buildings have been or currently are being converted for residential use.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all three buildings have been or currently are being converted for residential use', 'all tree buildings have been or currently are being converted for residential use', 'all three buildings have been or currently are being converted for residential use', 'all tree buildings have been or currently are being converted for residential use', 'all three buildings have been or currently are being converted for residential use']
[ "sinoc particularly praised the doctor and the master as well as the subtle humor", "sinatra particularly praised the doctor and the master as well as the subtle humor", "sinok particularly praised the doctor and the master as well as the subtle humor", "sinak particularly praised the doctor and the master as well as the subtle humor", "sinag particularly praised the doctor and the master as well as the subtle humor" ]
sinnott particularly praised the doctor and the master as well as the subtle humor
sinoc particularly praised the doctor and the master as well as the subtle humor.
sinatra particularly praised the doctor and the master as well as the subtle humor. sinok particularly praised the doctor and the master as well as the subtle humor. sinak particularly praised the doctor and the master as well as the subtle humor. sinag particularly praised the doctor and the master as well as the subtle humor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sinoc particularly praised the doctor and the master as well as the subtle humor', 'sinatra particularly praised the doctor and the master as well as the subtle humor', 'sinok particularly praised the doctor and the master as well as the subtle humor', 'sinak particularly praised the doctor and the master as well as the subtle humor', 'sinag particularly praised the doctor and the master as well as the subtle humor']
[ "this series was troubled throughout its run", "the series was troubled throughout its run", "this series was troubled throughout its realm", "this series was troubled throughout it is run", "the series was troubled throughout its realm" ]
the series was troubled throughout its run
this series was troubled throughout its run.
the series was troubled throughout its run. this series was troubled throughout its realm. this series was troubled throughout it is run. the series was troubled throughout its realm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this series was troubled throughout its run', 'the series was troubled throughout its run', 'this series was troubled throughout its realm', 'this series was troubled throughout it is run', 'the series was troubled throughout its realm']
[ "his contribution to renel physiology led to renel franconi syndrome being named for him", "his contribution to renel physiology led to renel franconi syndrome being named for him", "his contributions to renel physiology led to renel franconi syndrome being named for him", "his contributions to renel physiology led to renel franconi syndrome being named for him", "his contribution to renal physiology led to renal franconi syndrome being named for him" ]
his contributions to renal physiology led to renal fanconi syndrome being named for him
his contribution to renel physiology led to renel franconi syndrome being named for him.
his contribution to renel physiology led to renel franconi syndrome being named for him. his contributions to renel physiology led to renel franconi syndrome being named for him. his contributions to renel physiology led to renel franconi syndrome being named for him. his contribution to renal physiology led to renal franconi syndrome being named for him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his contribution to renel physiology led to renel franconi syndrome being named for him', 'his contribution to renel physiology led to renel franconi syndrome being named for him', 'his contributions to renel physiology led to renel franconi syndrome being named for him', 'his contributions to renel physiology led to renel franconi syndrome being named for him', 'his contribution to renal physiology led to renal franconi syndrome being named for him']
[ "felix said longoria junior", "felix said lungoria junior", "felix said longoria junior", "felix said longoria junior", "felix said longoria junior" ]
felix z longoria junior
felix said longoria junior.
felix said lungoria junior. felix said longoria junior. felix said longoria junior. felix said longoria junior.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['felix said longoria junior', 'felix said lungoria junior', 'felix said longoria junior', 'felix said longoria junior', 'felix said longoria junior']
[ "abdelos may be the most architecturally traditional settlement on icaria", "abdelos may be the most architecturally traditional settlement on ecarrea", "epidelose may be the most architecturally traditional settlement on icaria", "epidelose may be the most architecturally traditional settlement on ecarrea", "epidelose may be the most architecturally traditional settlement on ecarrea" ]
evdilos may be the most architecturally traditional settlement on ikaria
abdelos may be the most architecturally traditional settlement on icaria.
abdelos may be the most architecturally traditional settlement on ecarrea. epidelose may be the most architecturally traditional settlement on icaria. epidelose may be the most architecturally traditional settlement on ecarrea. epidelose may be the most architecturally traditional settlement on ecarrea.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['abdelos may be the most architecturally traditional settlement on icaria', 'abdelos may be the most architecturally traditional settlement on ecarrea', 'epidelose may be the most architecturally traditional settlement on icaria', 'epidelose may be the most architecturally traditional settlement on ecarrea', 'epidelose may be the most architecturally traditional settlement on ecarrea']
[ "however the law was not fully implemented", "however the law was not fully implemented", "however the law was not fully implemented", "however the law was not fully implemented", "however the law was not fully implemented" ]
however the law was not fully implemented
however the law was not fully implemented.
however the law was not fully implemented. however the law was not fully implemented. however the law was not fully implemented. however the law was not fully implemented.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the law was not fully implemented', 'however the law was not fully implemented', 'however the law was not fully implemented', 'however the law was not fully implemented', 'however the law was not fully implemented']
[ "finlay hosted a master is day and invited boris gary to serve as master of sermonies", "finlay hosted a master is day and invited boris gary to serve as master of ceremonies", "finlay hosted a master is day and invited boris gehry to serve as master of sermonies", "finlay hosted a master is day and invited boris garry to serve as master of sermonies", "finlay hosted a master is day and invited boris gehry to serve as master of ceremonies" ]
finley hosted a mustache day and invited bordagaray to serve as master of ceremonies
finlay hosted a master is day and invited boris gary to serve as master of sermonies.
finlay hosted a master is day and invited boris gary to serve as master of ceremonies. finlay hosted a master is day and invited boris gehry to serve as master of sermonies. finlay hosted a master is day and invited boris garry to serve as master of sermonies. finlay hosted a master is day and invited boris gehry to serve as master of ceremonies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['finlay hosted a master is day and invited boris gary to serve as master of sermonies', 'finlay hosted a master is day and invited boris gary to serve as master of ceremonies', 'finlay hosted a master is day and invited boris gehry to serve as master of sermonies', 'finlay hosted a master is day and invited boris garry to serve as master of sermonies', 'finlay hosted a master is day and invited boris gehry to serve as master of ceremonies']
[ "the juru annariver is not navigable due to its many waterfalls and rapids", "the juruenariver is not navigable due to its many waterfalls and rapids", "the juru enariver is not navigable due to its many waterfalls and rapids", "the juru annarivar is not navigable due to its many waterfalls and rapids", "the juru annariver is not navigable due to its many waterfalls and rapids" ]
the juruena river is not navigable due to its many waterfalls and rapids
the juru annariver is not navigable due to its many waterfalls and rapids.
the juruenariver is not navigable due to its many waterfalls and rapids. the juru enariver is not navigable due to its many waterfalls and rapids. the juru annarivar is not navigable due to its many waterfalls and rapids. the juru annariver is not navigable due to its many waterfalls and rapids.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the juru annariver is not navigable due to its many waterfalls and rapids', 'the juruenariver is not navigable due to its many waterfalls and rapids', 'the juru enariver is not navigable due to its many waterfalls and rapids', 'the juru annarivar is not navigable due to its many waterfalls and rapids', 'the juru annariver is not navigable due to its many waterfalls and rapids']
[ "often these programs can be targeted towards adolescent self employing work during the summer vacation", "often these programs can be targeted towards adolescent staff employing work during the summer vacation", "often these programs can be targeted towards adolescent self employment during the summer vacation", "often these programs can be targeted towards adolescent self employment during the summer vacation", "often these programs can be targeted towards adolescent staff employing work during the summer vacation" ]
often these programs can be targeted towards adolescent self employment during the summer vacation
often these programs can be targeted towards adolescent self employing work during the summer vacation.
often these programs can be targeted towards adolescent staff employing work during the summer vacation. often these programs can be targeted towards adolescent self employment during the summer vacation. often these programs can be targeted towards adolescent self employment during the summer vacation. often these programs can be targeted towards adolescent staff employing work during the summer vacation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['often these programs can be targeted towards adolescent self employing work during the summer vacation', 'often these programs can be targeted towards adolescent staff employing work during the summer vacation', 'often these programs can be targeted towards adolescent self employment during the summer vacation', 'often these programs can be targeted towards adolescent self employment during the summer vacation', 'often these programs can be targeted towards adolescent staff employing work during the summer vacation']
[ "he saw political history as the best and most important kind of history", "he is so political history as the best and most important kind of history", "he saw a political history as the best and most important kind of history", "he saw political history as the best and most important kind of history", "he saw political history as the best and most important kind of history" ]
he saw political history as the best and most important kind of history
he saw political history as the best and most important kind of history.
he is so political history as the best and most important kind of history. he saw a political history as the best and most important kind of history. he saw political history as the best and most important kind of history. he saw political history as the best and most important kind of history.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he saw political history as the best and most important kind of history', 'he is so political history as the best and most important kind of history', 'he saw a political history as the best and most important kind of history', 'he saw political history as the best and most important kind of history', 'he saw political history as the best and most important kind of history']
[ "two different cash amounts were hidden in four different paths", "two different cache amounts were hidden in four different paths", "two different cash amounts were hidden in four different pasts", "two different cash amounts were hidden in four different parts", "two different cache amounts were hidden in four different paths" ]
two different cash amounts were hidden in four different panels
two different cash amounts were hidden in four different paths.
two different cache amounts were hidden in four different paths. two different cash amounts were hidden in four different pasts. two different cash amounts were hidden in four different parts. two different cache amounts were hidden in four different paths.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two different cash amounts were hidden in four different paths', 'two different cache amounts were hidden in four different paths', 'two different cash amounts were hidden in four different pasts', 'two different cash amounts were hidden in four different parts', 'two different cache amounts were hidden in four different paths']
[ "diagraphs with are treated as letters and given separate positions in the abkhaz alphabet", "diagrams with are treated as letters and given separate positions in the abkhaz alphabet", "degraves with are treated as letters and given separate positions in the abkhaz alphabet", "digraphs with are treated as letters and given separate positions in the abkhaz alphabet", "digers with are treated as letters and given separate positions in the abkhaz alphabet" ]
digraphs with are treated as letters and given separate positions in the abkhaz alphabet
diagraphs with are treated as letters and given separate positions in the abkhaz alphabet.
diagrams with are treated as letters and given separate positions in the abkhaz alphabet. degraves with are treated as letters and given separate positions in the abkhaz alphabet. digraphs with are treated as letters and given separate positions in the abkhaz alphabet. digers with are treated as letters and given separate positions in the abkhaz alphabet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['diagraphs with are treated as letters and given separate positions in the abkhaz alphabet', 'diagrams with are treated as letters and given separate positions in the abkhaz alphabet', 'degraves with are treated as letters and given separate positions in the abkhaz alphabet', 'digraphs with are treated as letters and given separate positions in the abkhaz alphabet', 'digers with are treated as letters and given separate positions in the abkhaz alphabet']
[ "doctor skaden has written of his experience with blindness", "doctor scadden has written of his experience with blindness", "doctor scaden has written of his experience with blindness", "doctor skaden has written off his experience with blindness", "doctor skaden has written of his experience with blindness" ]
doctor scadden has written of his experiences with blindness
doctor skaden has written of his experience with blindness.
doctor scadden has written of his experience with blindness. doctor scaden has written of his experience with blindness. doctor skaden has written off his experience with blindness. doctor skaden has written of his experience with blindness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['doctor skaden has written of his experience with blindness', 'doctor scadden has written of his experience with blindness', 'doctor scaden has written of his experience with blindness', 'doctor skaden has written off his experience with blindness', 'doctor skaden has written of his experience with blindness']
[ "has been found and studied in medio crater arizona", "as being found and studied in media or greater arizona", "as being found and studied in media or cradle arizona", "as being found and studied in medio crater arizona", "has been found and studied in media or greater arizona" ]
kamacite has been found and studied in meteor crater arizona
has been found and studied in medio crater arizona.
as being found and studied in media or greater arizona. as being found and studied in media or cradle arizona. as being found and studied in medio crater arizona. has been found and studied in media or greater arizona.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['has been found and studied in medio crater arizona', 'as being found and studied in media or greater arizona', 'as being found and studied in media or cradle arizona', 'as being found and studied in medio crater arizona', 'has been found and studied in media or greater arizona']
[ "two thirds of the land is agricultural while a tenth is urban", "two thirds of the land is agricultural while a tenth is urban", "two thirds of the land is agricultural while a tenth is urban", "two thirds of the land is agricultural while a tenth is urban", "two thirds of the land is agricultural while a tenth is urban" ]
two thirds of the land is agricultural while a tenth is urban
two thirds of the land is agricultural while a tenth is urban.
two thirds of the land is agricultural while a tenth is urban. two thirds of the land is agricultural while a tenth is urban. two thirds of the land is agricultural while a tenth is urban. two thirds of the land is agricultural while a tenth is urban.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two thirds of the land is agricultural while a tenth is urban', 'two thirds of the land is agricultural while a tenth is urban', 'two thirds of the land is agricultural while a tenth is urban', 'two thirds of the land is agricultural while a tenth is urban', 'two thirds of the land is agricultural while a tenth is urban']
[ "it was not fair to hurt her", "it was not fair to her though", "it was not fair to hurt her", "it was not fair to heard her", "it was not fair to her though" ]
it was not fair to hurt her
it was not fair to hurt her.
it was not fair to her though. it was not fair to hurt her. it was not fair to heard her. it was not fair to her though.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was not fair to hurt her', 'it was not fair to her though', 'it was not fair to hurt her', 'it was not fair to heard her', 'it was not fair to her though']
[ "levi later testified in support of borg at his confirmation hearing", "levi later testified in support of bork at his confirmation hearing", "levi later testified in support of bawke at his confirmation hearing", "levi later testified in support of borg at his confirmation hearing", "levi later testified in support of bork at his confirmation hearing" ]
levi later testified in support of bork at his confirmation hearing
levi later testified in support of borg at his confirmation hearing.
levi later testified in support of bork at his confirmation hearing. levi later testified in support of bawke at his confirmation hearing. levi later testified in support of borg at his confirmation hearing. levi later testified in support of bork at his confirmation hearing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['levi later testified in support of borg at his confirmation hearing', 'levi later testified in support of bork at his confirmation hearing', 'levi later testified in support of bawke at his confirmation hearing', 'levi later testified in support of borg at his confirmation hearing', 'levi later testified in support of bork at his confirmation hearing']
[ "some neurologists call this condition epidemiol hypertension", "some neurologists call this condition epitomeal hypertension", "some neurologists call this condition epidemiul hypertension", "some urologists call this condition epidemiol hypertension", "some urologists call this condition epidemiul hypertension" ]
some urologists call this condition epididymal hypertension
some neurologists call this condition epidemiol hypertension.
some neurologists call this condition epitomeal hypertension. some neurologists call this condition epidemiul hypertension. some urologists call this condition epidemiol hypertension. some urologists call this condition epidemiul hypertension.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some neurologists call this condition epidemiol hypertension', 'some neurologists call this condition epitomeal hypertension', 'some neurologists call this condition epidemiul hypertension', 'some urologists call this condition epidemiol hypertension', 'some urologists call this condition epidemiul hypertension']
[ "sregun is derived from the same source they are developing an entirely different meaning", "sregun is derived from the same source they are developing an entirely different meaning", "sregan is derived from the same source they are developing an entirely different meaning", "sregun is derived from the same source they are developing an entirely different meaning", "sregun is derived from the same source they are developing in entirely different meaning" ]
sergeant is derived from the same source though developing an entirely different meaning
sregun is derived from the same source they are developing an entirely different meaning.
sregun is derived from the same source they are developing an entirely different meaning. sregan is derived from the same source they are developing an entirely different meaning. sregun is derived from the same source they are developing an entirely different meaning. sregun is derived from the same source they are developing in entirely different meaning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sregun is derived from the same source they are developing an entirely different meaning', 'sregun is derived from the same source they are developing an entirely different meaning', 'sregan is derived from the same source they are developing an entirely different meaning', 'sregun is derived from the same source they are developing an entirely different meaning', 'sregun is derived from the same source they are developing in entirely different meaning']
[ "he was exceeded in that post by david buffett", "he was succeeded in that post by david buffett", "it was exceeded in that post by david buffett", "here was exceeded in that post by david buffett", "he was excited in that post by david buffett" ]
he was succeeded in that post by david buffett
he was exceeded in that post by david buffett.
he was succeeded in that post by david buffett. it was exceeded in that post by david buffett. here was exceeded in that post by david buffett. he was excited in that post by david buffett.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was exceeded in that post by david buffett', 'he was succeeded in that post by david buffett', 'it was exceeded in that post by david buffett', 'here was exceeded in that post by david buffett', 'he was excited in that post by david buffett']
[ "early models also had troubles with unreliable springs but the problem was quickly solved", "early models also had troubles with unreliable springs but the problem was quickly solved", "early models also had trouble with unreliable springs but the problem was quickly solved", "ile models also had troubles with unreliable springs but the problem was quickly solved", "early models also had trouble with unreliable springs but the problem was quickly solved" ]
early models also had trouble with unreliable springs but the problem was quickly solved
early models also had troubles with unreliable springs but the problem was quickly solved.
early models also had troubles with unreliable springs but the problem was quickly solved. early models also had trouble with unreliable springs but the problem was quickly solved. ile models also had troubles with unreliable springs but the problem was quickly solved. early models also had trouble with unreliable springs but the problem was quickly solved.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['early models also had troubles with unreliable springs but the problem was quickly solved', 'early models also had troubles with unreliable springs but the problem was quickly solved', 'early models also had trouble with unreliable springs but the problem was quickly solved', 'ile models also had troubles with unreliable springs but the problem was quickly solved', 'early models also had trouble with unreliable springs but the problem was quickly solved']
[ "good almond parish church has an early saxon chancel and a norman tower", "good almond parish church has an early saxon chancel and a norman tower", "godelming parish church has an early sex and chancel and a normal tower", "good almond parish church has an early sex and chancel and a normal tower", "go downing parish church has an early saxon chancel and a norman tower" ]
godalming parish church has an early saxon chancel and a norman tower
good almond parish church has an early saxon chancel and a norman tower.
good almond parish church has an early saxon chancel and a norman tower. godelming parish church has an early sex and chancel and a normal tower. good almond parish church has an early sex and chancel and a normal tower. go downing parish church has an early saxon chancel and a norman tower.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['good almond parish church has an early saxon chancel and a norman tower', 'good almond parish church has an early saxon chancel and a norman tower', 'godelming parish church has an early sex and chancel and a normal tower', 'good almond parish church has an early sex and chancel and a normal tower', 'go downing parish church has an early saxon chancel and a norman tower']
[ "the launch model animax is for the major expansion in new york", "the launch mod animax is for the major expansion in new york", "the launch log animax is for the major expansion in new york", "the launch mod animax is for the major expansion in the yaroq", "the launch mode animax is for the major expansion in the yaroq" ]
the launch marked animax is first major expansion into europe
the launch model animax is for the major expansion in new york.
the launch mod animax is for the major expansion in new york. the launch log animax is for the major expansion in new york. the launch mod animax is for the major expansion in the yaroq. the launch mode animax is for the major expansion in the yaroq.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the launch model animax is for the major expansion in new york', 'the launch mod animax is for the major expansion in new york', 'the launch log animax is for the major expansion in new york', 'the launch mod animax is for the major expansion in the yaroq', 'the launch mode animax is for the major expansion in the yaroq']
[ "it is part of the golden trandled region of the state", "it is part of the golden triangle region of the state", "it is part of the golden trandle region of the state", "it is part of the golden triangle region of the state", "it is part of the golden trandled region of the state" ]
it is part of the golden triangle region of the state
it is part of the golden trandled region of the state.
it is part of the golden triangle region of the state. it is part of the golden trandle region of the state. it is part of the golden triangle region of the state. it is part of the golden trandled region of the state.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is part of the golden trandled region of the state', 'it is part of the golden triangle region of the state', 'it is part of the golden trandle region of the state', 'it is part of the golden triangle region of the state', 'it is part of the golden trandled region of the state']
[ "when worn on the desert combat uniform the patch was tan and brown", "when worn on the desert combat uniform the patch was tan and brown", "when worn on the desert combat uniform the patch was tan and brown", "when worn on the desert combat uniform the patch was tan and brown", "when worn on the desert combat uniform the patch was tan and brown" ]
when worn on the desert combat uniform the patch was tan and brown
when worn on the desert combat uniform the patch was tan and brown.
when worn on the desert combat uniform the patch was tan and brown. when worn on the desert combat uniform the patch was tan and brown. when worn on the desert combat uniform the patch was tan and brown. when worn on the desert combat uniform the patch was tan and brown.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when worn on the desert combat uniform the patch was tan and brown', 'when worn on the desert combat uniform the patch was tan and brown', 'when worn on the desert combat uniform the patch was tan and brown', 'when worn on the desert combat uniform the patch was tan and brown', 'when worn on the desert combat uniform the patch was tan and brown']
[ "the film did not receive success on box office", "the film did not receive success on boxoffice", "the film did not receive success on box office", "the film did not receive success on boxoffice", "the film did not receive success on boxoffice" ]
the film did not receive success on box office
the film did not receive success on box office.
the film did not receive success on boxoffice. the film did not receive success on box office. the film did not receive success on boxoffice. the film did not receive success on boxoffice.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film did not receive success on box office', 'the film did not receive success on boxoffice', 'the film did not receive success on box office', 'the film did not receive success on boxoffice', 'the film did not receive success on boxoffice']
[ "during the early period of ottoman rule berat fell into severe decline", "during the early period of ottoman rule barat fell into severe decline", "during the early period of ottoman rule berat fell into severe decline", "during the early period of ottoman rule berat fell into severe decline", "during the early period of ottoman rule bharat fell into severe decline" ]
during the early period of ottoman rule berat fell into severe decline
during the early period of ottoman rule berat fell into severe decline.
during the early period of ottoman rule barat fell into severe decline. during the early period of ottoman rule berat fell into severe decline. during the early period of ottoman rule berat fell into severe decline. during the early period of ottoman rule bharat fell into severe decline.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during the early period of ottoman rule berat fell into severe decline', 'during the early period of ottoman rule barat fell into severe decline', 'during the early period of ottoman rule berat fell into severe decline', 'during the early period of ottoman rule berat fell into severe decline', 'during the early period of ottoman rule bharat fell into severe decline']
[ "the dutch sent a worship to avis", "the dutch sent a warship to avis", "the dutch sent a worship to abyss", "the dutch sent a warship to avis", "the dutch sent a warship to avis" ]
the dutch sent a warship to aves
the dutch sent a worship to avis.
the dutch sent a warship to avis. the dutch sent a worship to abyss. the dutch sent a warship to avis. the dutch sent a warship to avis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dutch sent a worship to avis', 'the dutch sent a warship to avis', 'the dutch sent a worship to abyss', 'the dutch sent a warship to avis', 'the dutch sent a warship to avis']
[ "these kin based partnerships at many limitations", "these kin based partnerships had many limitations", "these kin based partnerships have many limitations", "these kin based partnerships and many limitations", "these kin based partnerships at many limitations" ]
these kin based partnerships had many limitations
these kin based partnerships at many limitations.
these kin based partnerships had many limitations. these kin based partnerships have many limitations. these kin based partnerships and many limitations. these kin based partnerships at many limitations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these kin based partnerships at many limitations', 'these kin based partnerships had many limitations', 'these kin based partnerships have many limitations', 'these kin based partnerships and many limitations', 'these kin based partnerships at many limitations']
[ "we also at present have no permanent sales or information premises", "we also at present have no permanent sales or information promises", "we also our present have no permanent sales or information premises", "we also at present have no permanent sales or information premises", "we also our present have no permanent sales or information promises" ]
we also at present have no permanent sales or information premises
we also at present have no permanent sales or information premises.
we also at present have no permanent sales or information promises. we also our present have no permanent sales or information premises. we also at present have no permanent sales or information premises. we also our present have no permanent sales or information promises.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we also at present have no permanent sales or information premises', 'we also at present have no permanent sales or information promises', 'we also our present have no permanent sales or information premises', 'we also at present have no permanent sales or information premises', 'we also our present have no permanent sales or information promises']
[ "racing cars are essential to motorsport", "racing cars are essential to motorsport", "racing cars are essential to motorsport", "racing cars are essential to motorsport", "racing cars are essential to motorsport" ]
racing cars are essential to motorsport
racing cars are essential to motorsport.
racing cars are essential to motorsport. racing cars are essential to motorsport. racing cars are essential to motorsport. racing cars are essential to motorsport.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['racing cars are essential to motorsport', 'racing cars are essential to motorsport', 'racing cars are essential to motorsport', 'racing cars are essential to motorsport', 'racing cars are essential to motorsport']
[ "the mascot is the titan", "the mascot is titan", "the mascot is titan", "the mascot is tightened", "the mascot needs to tighten" ]
the mascot is a titan
the mascot is the titan.
the mascot is titan. the mascot is titan. the mascot is tightened. the mascot needs to tighten.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mascot is the titan', 'the mascot is titan', 'the mascot is titan', 'the mascot is tightened', 'the mascot needs to tighten']
[ "this motorcycle is now in the smithsonian institution", "this motorcycle is now in the smithsonian institution", "this motorcycle is now in the smithsonian station", "this motorcycle is now in the smithsonian institution", "this motorcycle is now in the smithsonian station" ]
this motorcycle is now in the smithsonian institution
this motorcycle is now in the smithsonian institution.
this motorcycle is now in the smithsonian institution. this motorcycle is now in the smithsonian station. this motorcycle is now in the smithsonian institution. this motorcycle is now in the smithsonian station.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this motorcycle is now in the smithsonian institution', 'this motorcycle is now in the smithsonian institution', 'this motorcycle is now in the smithsonian station', 'this motorcycle is now in the smithsonian institution', 'this motorcycle is now in the smithsonian station']
[ "zealand is nebord by galheed to the south and miss pasprim to the north", "zeeland is nebord by galheed to the south and miss pasprim to the north", "zealand is nebord by galhid to the south and miss pasprim to the north", "zealand is nebord by galheed to the south and mispass spring to the north", "zeeland is nebord by galhid to the south and miss pasprim to the north" ]
zealand is neighbored by galehead to the south and mizpah spring to the north
zealand is nebord by galheed to the south and miss pasprim to the north.
zeeland is nebord by galheed to the south and miss pasprim to the north. zealand is nebord by galhid to the south and miss pasprim to the north. zealand is nebord by galheed to the south and mispass spring to the north. zeeland is nebord by galhid to the south and miss pasprim to the north.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['zealand is nebord by galheed to the south and miss pasprim to the north', 'zeeland is nebord by galheed to the south and miss pasprim to the north', 'zealand is nebord by galhid to the south and miss pasprim to the north', 'zealand is nebord by galheed to the south and mispass spring to the north', 'zeeland is nebord by galhid to the south and miss pasprim to the north']
[ "it was buried in the deen cemetery", "it was buried in the dean is cemetery", "it was buried in the deen cemetery", "it was buried in the dean cemetery", "it was buried in the deen cemetery" ]
he was buried in the dean cemetery
it was buried in the deen cemetery.
it was buried in the dean is cemetery. it was buried in the deen cemetery. it was buried in the dean cemetery. it was buried in the deen cemetery.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was buried in the deen cemetery', 'it was buried in the dean is cemetery', 'it was buried in the deen cemetery', 'it was buried in the dean cemetery', 'it was buried in the deen cemetery']
[ "this region is commonly called free amps but is part of the bernie is amps", "this region is commonly called free amps but is part of the bernie is amps", "this region is commonly called free amps but is part of the burnie is amps", "this region is commonly called free amps but is part of the bernese amps", "this region is commonly called free amps but is part of the burning is amps" ]
this region is commonly called pre alps but is part of the bernese alps
this region is commonly called free amps but is part of the bernie is amps.
this region is commonly called free amps but is part of the bernie is amps. this region is commonly called free amps but is part of the burnie is amps. this region is commonly called free amps but is part of the bernese amps. this region is commonly called free amps but is part of the burning is amps.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this region is commonly called free amps but is part of the bernie is amps', 'this region is commonly called free amps but is part of the bernie is amps', 'this region is commonly called free amps but is part of the burnie is amps', 'this region is commonly called free amps but is part of the bernese amps', 'this region is commonly called free amps but is part of the burning is amps']
[ "this bird is chilly by growing my arm tighter to her own", "this book is chilly by growing my arm tighter to her own", "this book is chilly by growing my arm tighter to her own", "this bird is chilly by growing my arm tighter to her own", "this book is chili by growing my arm tighter to her own" ]
whispered miss jellyby drawing my arm tighter through her own
this bird is chilly by growing my arm tighter to her own.
this book is chilly by growing my arm tighter to her own. this book is chilly by growing my arm tighter to her own. this bird is chilly by growing my arm tighter to her own. this book is chili by growing my arm tighter to her own.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this bird is chilly by growing my arm tighter to her own', 'this book is chilly by growing my arm tighter to her own', 'this book is chilly by growing my arm tighter to her own', 'this bird is chilly by growing my arm tighter to her own', 'this book is chili by growing my arm tighter to her own']
[ "a photographer sets up the tag pictures", "a photographer sets up the tight pictures", "a photographer sets out the tag pictures", "a photographer sets up the type of pictures", "a photographer sets up the type of pictures" ]
a photographer sets up to take pictures
a photographer sets up the tag pictures.
a photographer sets up the tight pictures. a photographer sets out the tag pictures. a photographer sets up the type of pictures. a photographer sets up the type of pictures.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a photographer sets up the tag pictures', 'a photographer sets up the tight pictures', 'a photographer sets out the tag pictures', 'a photographer sets up the type of pictures', 'a photographer sets up the type of pictures']
[ "three people sitting at a table and one of them toasting a drink to the camera", "three people sitting at a table and one of them toasting a drink to the camera", "three people sitting at a table and one of them toasting a drink to the camera", "three people sitting at a table and one of them toasting a drink to the camera", "three people sitting at a table and one of them toasting a drink to the camera" ]
three people sitting at a table and one of them toasting a drink to the camera
three people sitting at a table and one of them toasting a drink to the camera.
three people sitting at a table and one of them toasting a drink to the camera. three people sitting at a table and one of them toasting a drink to the camera. three people sitting at a table and one of them toasting a drink to the camera. three people sitting at a table and one of them toasting a drink to the camera.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['three people sitting at a table and one of them toasting a drink to the camera', 'three people sitting at a table and one of them toasting a drink to the camera', 'three people sitting at a table and one of them toasting a drink to the camera', 'three people sitting at a table and one of them toasting a drink to the camera', 'three people sitting at a table and one of them toasting a drink to the camera']
[ "the girls did not know who to trust so they ran fast", "the girls did not know who to trust so they ran fast", "the girls did not know who to trust so they ran fast", "the girls did not know who to trust so they ran fast", "the girls did not know who to trust so they ran fast" ]
the girls didn t know who to trust so they ran fast
the girls did not know who to trust so they ran fast.
the girls did not know who to trust so they ran fast. the girls did not know who to trust so they ran fast. the girls did not know who to trust so they ran fast. the girls did not know who to trust so they ran fast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the girls did not know who to trust so they ran fast', 'the girls did not know who to trust so they ran fast', 'the girls did not know who to trust so they ran fast', 'the girls did not know who to trust so they ran fast', 'the girls did not know who to trust so they ran fast']
[ "his brother ira ingber is also a prominent musician", "his brother ira inber is also a prominent musician", "his brother ira ingber is also a prominent musician", "his brother ira inber is also a prominent musician", "his brother ira ingber is also a prominent musician" ]
his brother ira ingber is also a prominent musician
his brother ira ingber is also a prominent musician.
his brother ira inber is also a prominent musician. his brother ira ingber is also a prominent musician. his brother ira inber is also a prominent musician. his brother ira ingber is also a prominent musician.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his brother ira ingber is also a prominent musician', 'his brother ira inber is also a prominent musician', 'his brother ira ingber is also a prominent musician', 'his brother ira inber is also a prominent musician', 'his brother ira ingber is also a prominent musician']
[ "however a planned book detailing his travels was not completed", "however a planned book detailing as travels was not completed", "however a planned book detailing as travel is was not completed", "however a plan to book detailing his travels was not completed", "however a planned book detailing as travel is was not completed" ]
however a planned book detailing his travels was not completed
however a planned book detailing his travels was not completed.
however a planned book detailing as travels was not completed. however a planned book detailing as travel is was not completed. however a plan to book detailing his travels was not completed. however a planned book detailing as travel is was not completed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however a planned book detailing his travels was not completed', 'however a planned book detailing as travels was not completed', 'however a planned book detailing as travel is was not completed', 'however a plan to book detailing his travels was not completed', 'however a planned book detailing as travel is was not completed']
[ "sometimes being featured in popular culture particularly in video games", "that have sometimes been featured in popular culture particularly in video games", "one that has sometimes been featured in popular culture particularly in video games", "being featured in popular culture particularly in video games", "have sometimes been featured in popular culture particularly in video games" ]
wombats have sometimes been featured in popular culture particularly in video games
sometimes being featured in popular culture particularly in video games.
that have sometimes been featured in popular culture particularly in video games. one that has sometimes been featured in popular culture particularly in video games. being featured in popular culture particularly in video games. have sometimes been featured in popular culture particularly in video games.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sometimes being featured in popular culture particularly in video games', 'that have sometimes been featured in popular culture particularly in video games', 'one that has sometimes been featured in popular culture particularly in video games', 'being featured in popular culture particularly in video games', 'have sometimes been featured in popular culture particularly in video games']
[ "stress and fatigue may also be a cause", "stress and fatigue may also be a cause", "stress and fatigue may also be a cause", "stress and fatigue may also be a cause", "stress and fatigue may also be a cause" ]
stress and fatigue may also be a cause
stress and fatigue may also be a cause.
stress and fatigue may also be a cause. stress and fatigue may also be a cause. stress and fatigue may also be a cause. stress and fatigue may also be a cause.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stress and fatigue may also be a cause', 'stress and fatigue may also be a cause', 'stress and fatigue may also be a cause', 'stress and fatigue may also be a cause', 'stress and fatigue may also be a cause']
[ "a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut", "a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut", "a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut", "a do nothing philosophy has been followed on the hilltops surrounding fukuoka is hut", "a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut" ]
a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut
a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut.
a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut. a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut. a do nothing philosophy has been followed on the hilltops surrounding fukuoka is hut. a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut', 'a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut', 'a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut', 'a do nothing philosophy has been followed on the hilltops surrounding fukuoka is hut', 'a do nothing philosophy has been followed on the hilltop surrounding fukuoka is hut']
[ "his first published work was a collection of short stories entitled into the sun", "his first published work was a collection of short stories entitled into the sun", "his first published work was a collection of short stories entitled into the sun", "his first published work was a collection of short stories entitled into this one", "his first published work was a collection of short stories entitled into the sun" ]
his first published work was a collection of short stories entitled into the sun
his first published work was a collection of short stories entitled into the sun.
his first published work was a collection of short stories entitled into the sun. his first published work was a collection of short stories entitled into the sun. his first published work was a collection of short stories entitled into this one. his first published work was a collection of short stories entitled into the sun.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his first published work was a collection of short stories entitled into the sun', 'his first published work was a collection of short stories entitled into the sun', 'his first published work was a collection of short stories entitled into the sun', 'his first published work was a collection of short stories entitled into this one', 'his first published work was a collection of short stories entitled into the sun']
[ "specifically a intruder could discover an ordnance", "specifically a intruder could discover an order nonsense", "specifically a intruder could discover an order nons", "specifically a intruder could discover an ordnance", "specifically a intruder could discover an order nonsense" ]
specifically an intruder could discover an older nonce
specifically a intruder could discover an ordnance.
specifically a intruder could discover an order nonsense. specifically a intruder could discover an order nons. specifically a intruder could discover an ordnance. specifically a intruder could discover an order nonsense.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['specifically a intruder could discover an ordnance', 'specifically a intruder could discover an order nonsense', 'specifically a intruder could discover an order nons', 'specifically a intruder could discover an ordnance', 'specifically a intruder could discover an order nonsense']
[ "the international association of machinists and aerospace workers find objections to the election", "the international association of mechanists and aerospace workers find objections to the election", "the international association of machinists and aerospace workers find objections to the election", "the international association of mechanists and aerospace workers find objections to the election", "the international association of machines and aerospace workers find objections to the election" ]
the international association of machinists and aerospace workers filed objections to the election
the international association of machinists and aerospace workers find objections to the election.
the international association of mechanists and aerospace workers find objections to the election. the international association of machinists and aerospace workers find objections to the election. the international association of mechanists and aerospace workers find objections to the election. the international association of machines and aerospace workers find objections to the election.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the international association of machinists and aerospace workers find objections to the election', 'the international association of mechanists and aerospace workers find objections to the election', 'the international association of machinists and aerospace workers find objections to the election', 'the international association of mechanists and aerospace workers find objections to the election', 'the international association of machines and aerospace workers find objections to the election']
[ "and most place than a friend", "and most places than a friend", "and most place then a friend", "and most place then a friend", "and most place then a friend" ]
and much less than a friend
and most place than a friend.
and most places than a friend. and most place then a friend. and most place then a friend. and most place then a friend.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and most place than a friend', 'and most places than a friend', 'and most place then a friend', 'and most place then a friend', 'and most place then a friend']
[ "there is also an arrangement for four hand piano duet by composer max rieger", "there is also an arrangement for four hand piano duet by composer max riga", "there is also an arrangement for four hand piano duet by composer max riga", "there is also an arrangement for forehand piano duet by composer max rieger", "there is also an arrangement for four hand piano duet by composer max rieger" ]
there is also an arrangement for four hand piano duet by composer max reger
there is also an arrangement for four hand piano duet by composer max rieger.
there is also an arrangement for four hand piano duet by composer max riga. there is also an arrangement for four hand piano duet by composer max riga. there is also an arrangement for forehand piano duet by composer max rieger. there is also an arrangement for four hand piano duet by composer max rieger.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is also an arrangement for four hand piano duet by composer max rieger', 'there is also an arrangement for four hand piano duet by composer max riga', 'there is also an arrangement for four hand piano duet by composer max riga', 'there is also an arrangement for forehand piano duet by composer max rieger', 'there is also an arrangement for four hand piano duet by composer max rieger']
[ "he is part of gravity is team and helps battle crossbones", "he is part of gravity is team and helps battle crossbones", "he is part of gravity is team and helps battle cross bones", "he is part of gravity is team and helps battle cross burns", "he is part of gravity is team and helps battle cross bones" ]
he is part of gravity is team and helps battle crossbones
he is part of gravity is team and helps battle crossbones.
he is part of gravity is team and helps battle crossbones. he is part of gravity is team and helps battle cross bones. he is part of gravity is team and helps battle cross burns. he is part of gravity is team and helps battle cross bones.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is part of gravity is team and helps battle crossbones', 'he is part of gravity is team and helps battle crossbones', 'he is part of gravity is team and helps battle cross bones', 'he is part of gravity is team and helps battle cross burns', 'he is part of gravity is team and helps battle cross bones']
[ "the answer is usually written and the students are not penalized for guessing", "the answer is usually written in and the students are not penalized for guessing", "the answer is usually written and the students are not penalized for guessing", "the answers usually written in and the students are not penalized for guessing", "the aunt says usually written in and the students are not penalized for guessing" ]
the answer is usually written in and the students are not penalized for guessing
the answer is usually written and the students are not penalized for guessing.
the answer is usually written in and the students are not penalized for guessing. the answer is usually written and the students are not penalized for guessing. the answers usually written in and the students are not penalized for guessing. the aunt says usually written in and the students are not penalized for guessing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the answer is usually written and the students are not penalized for guessing', 'the answer is usually written in and the students are not penalized for guessing', 'the answer is usually written and the students are not penalized for guessing', 'the answers usually written in and the students are not penalized for guessing', 'the aunt says usually written in and the students are not penalized for guessing']
[ "the village administrator is don podkorsky", "the village administrator is don podkorski", "the village administrator is don podkorsky", "the village administrator is don podkovsky", "the village administrator is dan podkorsky" ]
the village administrator is dan podgorski
the village administrator is don podkorsky.
the village administrator is don podkorski. the village administrator is don podkorsky. the village administrator is don podkovsky. the village administrator is dan podkorsky.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village administrator is don podkorsky', 'the village administrator is don podkorski', 'the village administrator is don podkorsky', 'the village administrator is don podkovsky', 'the village administrator is dan podkorsky']
[ "more complete lists of churches students is available via mathematics genealogy project", "more complete lists of churches students is available via mathematics genealogy project", "more complete lists of churches students is available via mathematics genealogy project", "more complete lists of churches students is available via a mathematics genealogy project", "more complete lists of churches students is available via mathematics genealogy project" ]
a more complete list of church is students is available via mathematics genealogy project
more complete lists of churches students is available via mathematics genealogy project.
more complete lists of churches students is available via mathematics genealogy project. more complete lists of churches students is available via mathematics genealogy project. more complete lists of churches students is available via a mathematics genealogy project. more complete lists of churches students is available via mathematics genealogy project.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['more complete lists of churches students is available via mathematics genealogy project', 'more complete lists of churches students is available via mathematics genealogy project', 'more complete lists of churches students is available via mathematics genealogy project', 'more complete lists of churches students is available via a mathematics genealogy project', 'more complete lists of churches students is available via mathematics genealogy project']
[ "the bottom two clubs face relegation to the regional lower divisions", "the bottom two clubs face relegation to the regional lower divisions", "the bottom two clubs face delegation to the regional lower divisions", "the bottom two clubs face relegation to the regional lower divisions", "the bottom two clubs face relegation to the regional lowered divisions" ]
the bottom two clubs face relegation to the regional lower divisions
the bottom two clubs face relegation to the regional lower divisions.
the bottom two clubs face relegation to the regional lower divisions. the bottom two clubs face delegation to the regional lower divisions. the bottom two clubs face relegation to the regional lower divisions. the bottom two clubs face relegation to the regional lowered divisions.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bottom two clubs face relegation to the regional lower divisions', 'the bottom two clubs face relegation to the regional lower divisions', 'the bottom two clubs face delegation to the regional lower divisions', 'the bottom two clubs face relegation to the regional lower divisions', 'the bottom two clubs face relegation to the regional lowered divisions']
[ "baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser", "baba rosa has been ordered to kidnap her by abraham pasha the ottoman grand viser", "baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandviser", "baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandvisor", "father rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser" ]
barbarossa had been ordered to kidnap her by ibrahim pasha the ottoman grand vizier
baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser.
baba rosa has been ordered to kidnap her by abraham pasha the ottoman grand viser. baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandviser. baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandvisor. father rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser', 'baba rosa has been ordered to kidnap her by abraham pasha the ottoman grand viser', 'baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandviser', 'baba rosa has been ordered to kidnap her by ibrahim pasha the ottoman grandvisor', 'father rosa has been ordered to kidnap her by ibrahim pasha the ottoman grand viser']
[ "the next modern was adapted for use as a bonnettic assailant", "the next modern was adapted for use as a lunatic assailant", "folk moldem was adapted for use as a lunatic assailant", "volk moldem was adapted for use as a lunatic assailant", "volk modem was adapted for use as a lunatic assailant" ]
fort malden was adapted for use as a lunatic asylum
the next modern was adapted for use as a bonnettic assailant.
the next modern was adapted for use as a lunatic assailant. folk moldem was adapted for use as a lunatic assailant. volk moldem was adapted for use as a lunatic assailant. volk modem was adapted for use as a lunatic assailant.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next modern was adapted for use as a bonnettic assailant', 'the next modern was adapted for use as a lunatic assailant', 'folk moldem was adapted for use as a lunatic assailant', 'volk moldem was adapted for use as a lunatic assailant', 'volk modem was adapted for use as a lunatic assailant']
[ "if you purchase before the ex dividend date you get the dividend", "if you purchase before the x dividend date you get the dividend", "if you purchase before the x dividend date you get the dividend", "if you purchase before the x dividend date you get the dividend", "if you purchase before the x dividend date you get the dividend" ]
if you purchase before the ex dividend date you get the dividend
if you purchase before the ex dividend date you get the dividend.
if you purchase before the x dividend date you get the dividend. if you purchase before the x dividend date you get the dividend. if you purchase before the x dividend date you get the dividend. if you purchase before the x dividend date you get the dividend.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if you purchase before the ex dividend date you get the dividend', 'if you purchase before the x dividend date you get the dividend', 'if you purchase before the x dividend date you get the dividend', 'if you purchase before the x dividend date you get the dividend', 'if you purchase before the x dividend date you get the dividend']
[ "the united states team won the silver medal behind romania", "the united states team won the silver medal behind romania", "the united states team won the silver medal behind romania", "the united states team won the silver medal behind romania", "the united states team won the silver medal behind romania" ]
the united states team won the silver medal behind romania
the united states team won the silver medal behind romania.
the united states team won the silver medal behind romania. the united states team won the silver medal behind romania. the united states team won the silver medal behind romania. the united states team won the silver medal behind romania.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the united states team won the silver medal behind romania', 'the united states team won the silver medal behind romania', 'the united states team won the silver medal behind romania', 'the united states team won the silver medal behind romania', 'the united states team won the silver medal behind romania']
[ "also heavily featured was the fictional band creeper", "also heavily featured was the fictional band creeper", "also heavily featured was the fictional band creeper", "also heavily featured was the fictional band creeper", "also heavily featured was the fictional band creeper" ]
also heavily featured was the fictional band creeper
also heavily featured was the fictional band creeper.
also heavily featured was the fictional band creeper. also heavily featured was the fictional band creeper. also heavily featured was the fictional band creeper. also heavily featured was the fictional band creeper.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['also heavily featured was the fictional band creeper', 'also heavily featured was the fictional band creeper', 'also heavily featured was the fictional band creeper', 'also heavily featured was the fictional band creeper', 'also heavily featured was the fictional band creeper']
[ "some preconception may be false", "some preconceptions may be false", "some preconception may be false", "some preconception may be false", "some reconception may be false" ]
some preconceptions may be false
some preconception may be false.
some preconceptions may be false. some preconception may be false. some preconception may be false. some reconception may be false.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some preconception may be false', 'some preconceptions may be false', 'some preconception may be false', 'some preconception may be false', 'some reconception may be false']
[ "in the film the agents and calls this period in history of women is holocaust", "in the film the agents and calls this period in history of women is holocaust", "in the film the agents and co host this period in history of women is holocaust", "in the film the legends and calls this period in history of women is holocaust", "in the film thia jensen calls this period in history of women is holocaust" ]
in the film thea jensen calls this period in history a women is holocaust
in the film the agents and calls this period in history of women is holocaust.
in the film the agents and calls this period in history of women is holocaust. in the film the agents and co host this period in history of women is holocaust. in the film the legends and calls this period in history of women is holocaust. in the film thia jensen calls this period in history of women is holocaust.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the film the agents and calls this period in history of women is holocaust', 'in the film the agents and calls this period in history of women is holocaust', 'in the film the agents and co host this period in history of women is holocaust', 'in the film the legends and calls this period in history of women is holocaust', 'in the film thia jensen calls this period in history of women is holocaust']