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[ "they have two children matt and katie", "they have two children matt and katie", "they have two children martin katie", "they have two children matt and katie", "there are two children matt and katie" ]
they have two children matt and katie
they have two children matt and katie.
they have two children matt and katie. they have two children martin katie. they have two children matt and katie. there are two children matt and katie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have two children matt and katie', 'they have two children matt and katie', 'they have two children martin katie', 'they have two children matt and katie', 'there are two children matt and katie']
[ "these health centers are still exclusive to entertainment industry members", "these health centers are still exclusive to entertainment industry members", "these health centers are still exclusive to entertainment industry members", "these health centers are still exclusive to the entertainment industry memb...
these health centers are still exclusive to entertainment industry members
these health centers are still exclusive to entertainment industry members.
these health centers are still exclusive to entertainment industry members. these health centers are still exclusive to entertainment industry members. these health centers are still exclusive to the entertainment industry members. these health centers are still exclusive to the entertainment industry members.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these health centers are still exclusive to entertainment industry members', 'these health centers are still exclusive to entertainment industry members', 'these health centers are still exclusive to entertain...
[ "sometimes it is replaced by its metabolite ambroxyl as a mucosol one or muco engine", "sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine", "sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine", "sometimes it is replaced by its metabolite ambro...
sometimes it is replaced by its metabolite ambroxol as in mucosolvan or mucoangin
sometimes it is replaced by its metabolite ambroxyl as a mucosol one or muco engine.
sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine. sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine. sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine. sometimes it is replaced by its metabolite ambroxol as a mucosol ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sometimes it is replaced by its metabolite ambroxyl as a mucosol one or muco engine', 'sometimes it is replaced by its metabolite ambroxol as a mucosol one or muco engine', 'sometimes it is replaced by its met...
[ "had he been appointed cabriner is would have been the first hispanic supreme court justice", "had he been appointed cabrani is would have been the first hispanic supreme court justice", "had he been appointed cabriner is would have been the first hispanic supreme court justice", "had he been appointed cabran...
had he been appointed cabranes would have been the first hispanic supreme court justice
had he been appointed cabriner is would have been the first hispanic supreme court justice.
had he been appointed cabrani is would have been the first hispanic supreme court justice. had he been appointed cabriner is would have been the first hispanic supreme court justice. had he been appointed cabranas would have been the first hispanic supreme court justice. had he been appointed cabrani is would have been...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['had he been appointed cabriner is would have been the first hispanic supreme court justice', 'had he been appointed cabrani is would have been the first hispanic supreme court justice', 'had he been appointed ...
[ "three boys play tag on the beach", "three boys played tag on the beach", "three boys play tag on the beach", "three boys play a tag on the beach", "three boys play tag on the beach" ]
three boys play tag on the beach
three boys play tag on the beach.
three boys played tag on the beach. three boys play tag on the beach. three boys play a tag on the beach. three boys play tag on the beach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['three boys play tag on the beach', 'three boys played tag on the beach', 'three boys play tag on the beach', 'three boys play a tag on the beach', 'three boys play tag on the beach']
[ "the submitted free report will have the next year", "the submit a free report over the next year", "there is submit a free report over the next year", "they submit a free report over the next year", "the submit a free report of the next year" ]
they submitted three reports over the next year
the submitted free report will have the next year.
the submit a free report over the next year. there is submit a free report over the next year. they submit a free report over the next year. the submit a free report of the next year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the submitted free report will have the next year', 'the submit a free report over the next year', 'there is submit a free report over the next year', 'they submit a free report over the next year', 'the submi...
[ "in recent years copagisk has developed a diversified economy", "in recent years copenhagen has developed a diversified economy", "in recent years coppagisk has developed a diversified economy", "in recent years kopagisk has developed a diversified economy", "in recent years copagisk has developed a diversi...
in recent years kopejsk has developed a diversified economy
in recent years copagisk has developed a diversified economy.
in recent years copenhagen has developed a diversified economy. in recent years coppagisk has developed a diversified economy. in recent years kopagisk has developed a diversified economy. in recent years copagisk has developed a diversified economy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in recent years copagisk has developed a diversified economy', 'in recent years copenhagen has developed a diversified economy', 'in recent years coppagisk has developed a diversified economy', 'in recent year...
[ "it is kant is seat is burnsville", "it is kant is seat is bernsville", "it is can not see it is burns well", "it is conned seat is burnt well", "it is conned seat is burnsville" ]
its county seat is burnsville
it is kant is seat is burnsville.
it is kant is seat is bernsville. it is can not see it is burns well. it is conned seat is burnt well. it is conned seat is burnsville.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is kant is seat is burnsville', 'it is kant is seat is bernsville', 'it is can not see it is burns well', 'it is conned seat is burnt well', 'it is conned seat is burnsville']
[ "paranormal researcher john j fees told havis that he was becoming sensitive to paranormal phenomena", "paranormal researcher john j fees told haviz that he was becoming sensitive to paranormal phenomena", "paranormal researcher john j fees told havis that he was becoming sensitive to paranormal phenomenon", ...
paranormal researcher john zaffis told hawes that he was becoming sensitive to paranormal phenomena
paranormal researcher john j fees told havis that he was becoming sensitive to paranormal phenomena.
paranormal researcher john j fees told haviz that he was becoming sensitive to paranormal phenomena. paranormal researcher john j fees told havis that he was becoming sensitive to paranormal phenomenon. paranormal researcher john j feast told havis that he was becoming sensitive to paranormal phenomena. paranormal rese...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['paranormal researcher john j fees told havis that he was becoming sensitive to paranormal phenomena', 'paranormal researcher john j fees told haviz that he was becoming sensitive to paranormal phenomena', 'par...
[ "it can also be administered intra muscularly", "it can also be administered intramuscularly", "it can also be administered intramascularly", "it can also be administered intra muscularly", "it can also be administered intra musculotly" ]
it can also be administered intramuscularly
it can also be administered intra muscularly.
it can also be administered intramuscularly. it can also be administered intramascularly. it can also be administered intra muscularly. it can also be administered intra musculotly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it can also be administered intra muscularly', 'it can also be administered intramuscularly', 'it can also be administered intramascularly', 'it can also be administered intra muscularly', 'it can also be admi...
[ "there were neighbors and the friends of luke costello of the abbot and costello duo", "they were neighbors and the friends of luke costello of the abbot and costello duo", "there were neighbors and the friends of luke costello of the abort and costello duo", "there were neighbors and the friends of luke cost...
they were neighbors and friends of lou costello of the abbott and costello duo
there were neighbors and the friends of luke costello of the abbot and costello duo.
they were neighbors and the friends of luke costello of the abbot and costello duo. there were neighbors and the friends of luke costello of the abort and costello duo. there were neighbors and the friends of luke costello of the abbot and costello duo. there were neighbors and the friends of luke costello of the abbot...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were neighbors and the friends of luke costello of the abbot and costello duo', 'they were neighbors and the friends of luke costello of the abbot and costello duo', 'there were neighbors and the friends...
[ "the businessman has a change of heart and follows her to wisconsin", "the businessman has a change of heart and follows her to wisconsin", "the businessman has a change of heart and follows her to wisconsin", "the businessman has a change of heart and follows her to wisconsin", "the business man has a chan...
the businessman has a change of heart and follows her to wisconsin
the businessman has a change of heart and follows her to wisconsin.
the businessman has a change of heart and follows her to wisconsin. the businessman has a change of heart and follows her to wisconsin. the businessman has a change of heart and follows her to wisconsin. the business man has a change of heart and follows her to wisconsin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the businessman has a change of heart and follows her to wisconsin', 'the businessman has a change of heart and follows her to wisconsin', 'the businessman has a change of heart and follows her to wisconsin', ...
[ "i cat under the bench hissing with the dog a growling and trying to get it", "i cut under the bench hissing with a darker growling and trying to get it", "i cat under the bench hissing with the dog a growling and trying to get it", "i cat under the bench hissing with a dog a growling and trying to get it", ...
a cat under the bench hissing with a dog growling and trying to get it
i cat under the bench hissing with the dog a growling and trying to get it.
i cut under the bench hissing with a darker growling and trying to get it. i cat under the bench hissing with the dog a growling and trying to get it. i cat under the bench hissing with a dog a growling and trying to get it. i cut under the bench hissing with the dog a growling and trying to get it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i cat under the bench hissing with the dog a growling and trying to get it', 'i cut under the bench hissing with a darker growling and trying to get it', 'i cat under the bench hissing with the dog a growling ...
[ "when human subjects were given time to practice they substantially outperformed the young chimps", "when human subjects were given time to practice they substantially outperform the young chimps", "when human subjects were given time to practice they substantially outperformed the young chimps", "when human ...
when human subjects were given time to practice they substantially outperformed the young chimps
when human subjects were given time to practice they substantially outperformed the young chimps.
when human subjects were given time to practice they substantially outperform the young chimps. when human subjects were given time to practice they substantially outperformed the young chimps. when human subjects were given time to practice they substantially outperformed the young chimp is. when human subjects were g...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when human subjects were given time to practice they substantially outperformed the young chimps', 'when human subjects were given time to practice they substantially outperform the young chimps', 'when human ...
[ "this is likely an error", "this is likely an error", "this is likely an error", "this is likely an error", "disease likely and error" ]
this is likely an error
this is likely an error.
this is likely an error. this is likely an error. this is likely an error. disease likely and error.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is likely an error', 'this is likely an error', 'this is likely an error', 'this is likely an error', 'disease likely and error']
[ "ateria catches a ball in a field", "eteria catches a ball in a field", "iteria catches a ball in a field", "ateria catches the ball in a field", "ontario catches a ball in a field" ]
a terrier catches a ball in a field
ateria catches a ball in a field.
eteria catches a ball in a field. iteria catches a ball in a field. ateria catches the ball in a field. ontario catches a ball in a field.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ateria catches a ball in a field', 'eteria catches a ball in a field', 'iteria catches a ball in a field', 'ateria catches the ball in a field', 'ontario catches a ball in a field']
[ "he was said to be a staunch supporter of the renfrewshire foxland", "he was said to be a staunch supporter of the renfrewshire foxlet", "he was said to be a staunch supporter of the renfrewshire foxlet", "he was said to be a staunch supporter of the renfrewshire foxland", "he was said to be a staunch suppo...
he was said to be a staunch supporter of the renfrewshire fox hunt
he was said to be a staunch supporter of the renfrewshire foxland.
he was said to be a staunch supporter of the renfrewshire foxlet. he was said to be a staunch supporter of the renfrewshire foxlet. he was said to be a staunch supporter of the renfrewshire foxland. he was said to be a staunch supporter of the renfrew shire foxland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was said to be a staunch supporter of the renfrewshire foxland', 'he was said to be a staunch supporter of the renfrewshire foxlet', 'he was said to be a staunch supporter of the renfrewshire foxlet', 'he w...
[ "i am passing commuter train clouds with a monster who then destroys the train", "i am passing commuter train clouds with them on star hidden destroys the train", "i am passing commuter train clouds with them on star hidden destroyer train", "i am passing commuter train clouds with a monster who then destroys...
a passing commuter train collides with the monster who then destroys the train
i am passing commuter train clouds with a monster who then destroys the train.
i am passing commuter train clouds with them on star hidden destroys the train. i am passing commuter train clouds with them on star hidden destroyer train. i am passing commuter train clouds with a monster who then destroys a train. i am passing commuter train clouds with them on star hidden source of train.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am passing commuter train clouds with a monster who then destroys the train', 'i am passing commuter train clouds with them on star hidden destroys the train', 'i am passing commuter train clouds with them o...
[ "late in the third quarter one of kapaiti is teammates told patherno of joey swish", "late in the third quarter one of kapai ti is teammates told patherno of joey swish", "late in the third quarter one of kapaiti is teammates told patarno of joey swish", "late in the third quarter one of kapaiti is teammates ...
late in the third quarter one of cappelletti is teammates told paterno of joey is wish
late in the third quarter one of kapaiti is teammates told patherno of joey swish.
late in the third quarter one of kapai ti is teammates told patherno of joey swish. late in the third quarter one of kapaiti is teammates told patarno of joey swish. late in the third quarter one of kapaiti is teammates told patherno of joy is wish. late in the third quarter one of kapaiti is teammates told patherno of...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['late in the third quarter one of kapaiti is teammates told patherno of joey swish', 'late in the third quarter one of kapai ti is teammates told patherno of joey swish', 'late in the third quarter one of kapai...
[ "i still have the scars from that fall he told the monitor", "i still have the scars from that fall he told the monitor", "i still have the scars from that fall he told the monitor", "i still have the scars from that fall he told the manager", "i still have the scars from that fall he told the manager" ]
i still have the scars from that fall he told the monitor
i still have the scars from that fall he told the monitor.
i still have the scars from that fall he told the monitor. i still have the scars from that fall he told the monitor. i still have the scars from that fall he told the manager. i still have the scars from that fall he told the manager.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i still have the scars from that fall he told the monitor', 'i still have the scars from that fall he told the monitor', 'i still have the scars from that fall he told the monitor', 'i still have the scars fro...
[ "but still the first wicket staying continued", "but still the first wicket staying continued", "but still the first wicket staying continued", "but still the first wicket staying continued", "but still the first wicket staying continued" ]
but still the first wicket stand continued
but still the first wicket staying continued.
but still the first wicket staying continued. but still the first wicket staying continued. but still the first wicket staying continued. but still the first wicket staying continued.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but still the first wicket staying continued', 'but still the first wicket staying continued', 'but still the first wicket staying continued', 'but still the first wicket staying continued', 'but still the fir...
[ "at common law admissions were admissible", "at common law admissions were admissible", "at common law admissions were admissible", "at common law admissions were admissible", "at common law admissions were admissible" ]
at common law admissions were admissible
at common law admissions were admissible.
at common law admissions were admissible. at common law admissions were admissible. at common law admissions were admissible. at common law admissions were admissible.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at common law admissions were admissible', 'at common law admissions were admissible', 'at common law admissions were admissible', 'at common law admissions were admissible', 'at common law admissions were adm...
[ "he became increasingly interested in armature the trickle", "he became increasingly interested in armature the trickle", "he became increasingly interested in our measure the trickle", "he became increasingly interested in our major the trickle", "he became increasingly interested in our measure the trickl...
he became increasingly interested in amateur theatricals
he became increasingly interested in armature the trickle.
he became increasingly interested in armature the trickle. he became increasingly interested in our measure the trickle. he became increasingly interested in our major the trickle. he became increasingly interested in our measure the trickle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he became increasingly interested in armature the trickle', 'he became increasingly interested in armature the trickle', 'he became increasingly interested in our measure the trickle', 'he became increasingly ...
[ "in addition paid professional support is available with the easy publish enterprise edition", "in addition paid professional support is available with the easy publish enterprise edition", "in addition paid professional support is available with the easy publish enterprise edition", "in addition paid profess...
in addition paid professional support is available with the ez publish enterprise edition
in addition paid professional support is available with the easy publish enterprise edition.
in addition paid professional support is available with the easy publish enterprise edition. in addition paid professional support is available with the easy publish enterprise edition. in addition paid professional support is available with the easy publish enterprise edition. in addition paid professional support is ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in addition paid professional support is available with the easy publish enterprise edition', 'in addition paid professional support is available with the easy publish enterprise edition', 'in addition paid pr...
[ "in addition to these contacts roman armies undertook punitive expeditions north of the frontiers", "in addition to these contacts roman armies undertook punitive expeditions north of the frontiers", "in addition to these contacts roman armies undertook punitive expeditions in north of the frontiers", "in add...
in addition to these contacts roman armies undertook punitive expeditions north of the frontiers
in addition to these contacts roman armies undertook punitive expeditions north of the frontiers.
in addition to these contacts roman armies undertook punitive expeditions north of the frontiers. in addition to these contacts roman armies undertook punitive expeditions in north of the frontiers. in addition to these contacts roman armies undertook punitive expeditions north of the frontiers. in addition to these co...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in addition to these contacts roman armies undertook punitive expeditions north of the frontiers', 'in addition to these contacts roman armies undertook punitive expeditions north of the frontiers', 'in additi...
[ "it belongs to ivo constituency", "it belongs to ivo constituency", "it belongs to ivo constituency", "it belongs to ivo constituency", "it belongs to ivo constituency" ]
it belongs to aiwo constituency
it belongs to ivo constituency.
it belongs to ivo constituency. it belongs to ivo constituency. it belongs to ivo constituency. it belongs to ivo constituency.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it belongs to ivo constituency', 'it belongs to ivo constituency', 'it belongs to ivo constituency', 'it belongs to ivo constituency', 'it belongs to ivo constituency']
[ "in recent years the loft rin harvest festival was also staged in the village", "in recent years the loft rin harvest festival was also staged in the village", "in recent years the loff rin harvest festival was also staged in the village", "in recent years the lough rin harvest festival was also staged in the...
in recent years the lough rynn harvest festival was also staged in the village
in recent years the loft rin harvest festival was also staged in the village.
in recent years the loft rin harvest festival was also staged in the village. in recent years the loff rin harvest festival was also staged in the village. in recent years the lough rin harvest festival was also staged in the village. in recent years the loft ring harvest festival was also staged in the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in recent years the loft rin harvest festival was also staged in the village', 'in recent years the loft rin harvest festival was also staged in the village', 'in recent years the loff rin harvest festival was...
[ "nephi is brother jacob explains that subsequent kings bore the title nephi", "nephi is brother jacob explains that subsequent kings bore the title nephi", "neffi is brother jacob explains that subsequent kings bore the title neffi", "nephi is brother jacob explains that subsequent kings bore the title nephi"...
nephi is brother jacob explains that subsequent kings bore the title nephi
nephi is brother jacob explains that subsequent kings bore the title nephi.
nephi is brother jacob explains that subsequent kings bore the title nephi. neffi is brother jacob explains that subsequent kings bore the title neffi. nephi is brother jacob explains that subsequent kings bore the title nephi. nephi is brother jacob explains that subsequent kings bore the title nephi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nephi is brother jacob explains that subsequent kings bore the title nephi', 'nephi is brother jacob explains that subsequent kings bore the title nephi', 'neffi is brother jacob explains that subsequent kings...
[ "most hydrogen production indices environmental impacts", "most hydrogen production induces environmental impacts", "most hydrogen production india is environmental impacts", "most hydrogen production indexes environmental impacts", "most hydrogen production india uses environmental impacts" ]
most hydrogen production induces environmental impacts
most hydrogen production indices environmental impacts.
most hydrogen production induces environmental impacts. most hydrogen production india is environmental impacts. most hydrogen production indexes environmental impacts. most hydrogen production india uses environmental impacts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most hydrogen production indices environmental impacts', 'most hydrogen production induces environmental impacts', 'most hydrogen production india is environmental impacts', 'most hydrogen production indexes e...
[ "tom is is featured in kramer is reality tour conducted by kenny kramer", "tom is is featured in kramer is reality tour conducted by kenny kramer", "tom is is featured in kramer is reality tour conducted by kenny kramer", "tom is is featured in kramer is reality tour conducted by kenny kramer", "tom is is f...
tom is is featured in kramer is reality tour conducted by kenny kramer
tom is is featured in kramer is reality tour conducted by kenny kramer.
tom is is featured in kramer is reality tour conducted by kenny kramer. tom is is featured in kramer is reality tour conducted by kenny kramer. tom is is featured in kramer is reality tour conducted by kenny kramer. tom is is featured in kramer is reality tour conducted by kenny kramer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tom is is featured in kramer is reality tour conducted by kenny kramer', 'tom is is featured in kramer is reality tour conducted by kenny kramer', 'tom is is featured in kramer is reality tour conducted by ken...
[ "the city is northern residents are served by north high school in north saint paul", "the city is northern residents are served by north high school in north saint paul", "the city is northern residents are served by north rai school in north saint paul", "the city is northern residents are served by north h...
the city is northern residents are served by north high school in north saint paul
the city is northern residents are served by north high school in north saint paul.
the city is northern residents are served by north high school in north saint paul. the city is northern residents are served by north rai school in north saint paul. the city is northern residents are served by north high school in north saint paul. the city is northern residents are served by north high school in nor...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the city is northern residents are served by north high school in north saint paul', 'the city is northern residents are served by north high school in north saint paul', 'the city is northern residents are se...
[ "the united states post service operates the mercedes post office", "the united express post service operates the mercedes post office", "the united east east post service operates the mercedes post office", "the united states post service operates the marsidious post office", "the united states post servic...
the united states postal service operates the mercedes post office
the united states post service operates the mercedes post office.
the united express post service operates the mercedes post office. the united east east post service operates the mercedes post office. the united states post service operates the marsidious post office. the united states post service operates the marsidios post office.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the united states post service operates the mercedes post office', 'the united express post service operates the mercedes post office', 'the united east east post service operates the mercedes post office', 't...
[ "the hero of the first theme represents the hero", "the hero of the first game represents the hero", "the hero of the first team represents the hero", "the hero of the first theme represents the hero", "the hero the first theme represents the hero" ]
the hero the first theme represents the hero
the hero of the first theme represents the hero.
the hero of the first game represents the hero. the hero of the first team represents the hero. the hero of the first theme represents the hero. the hero the first theme represents the hero.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hero of the first theme represents the hero', 'the hero of the first game represents the hero', 'the hero of the first team represents the hero', 'the hero of the first theme represents the hero', 'the her...
[ "the area of present day katagami was part of ancient deva promise", "the area of present day kathagami was part of ancient deva promise", "the area of present day katadami was part of ancient deva promise", "the area of present day katagami was part of asian deva promise", "the area of present day katagami...
the area of present day katagami was part of ancient dewa province
the area of present day katagami was part of ancient deva promise.
the area of present day kathagami was part of ancient deva promise. the area of present day katadami was part of ancient deva promise. the area of present day katagami was part of asian deva promise. the area of present day katagami was part of asian deva promise.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the area of present day katagami was part of ancient deva promise', 'the area of present day kathagami was part of ancient deva promise', 'the area of present day katadami was part of ancient deva promise', 't...
[ "street cinema was released with no pigeons appearing as bonus track", "street cinema was re released with no pigeons appearing as bonus track", "street cinema was released with no pigeons appearing as bonus trap", "street cinema was re released with no pigeons appearing as bonus trap", "street cinema was r...
street cinema was re released with no pigeons appearing as a bonus track
street cinema was released with no pigeons appearing as bonus track.
street cinema was re released with no pigeons appearing as bonus track. street cinema was released with no pigeons appearing as bonus trap. street cinema was re released with no pigeons appearing as bonus trap. street cinema was re released with no pigeons appearing as bonus track.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['street cinema was released with no pigeons appearing as bonus track', 'street cinema was re released with no pigeons appearing as bonus track', 'street cinema was released with no pigeons appearing as bonus tr...
[ "seasoned tickets are the most cost effective and time efficient option for regular commuters", "seasoned tickets are the most cost effective and time efficient option for regular commuters", "season tickets are the most cost effective and time efficient option for regular commuters", "seasoned tickets are th...
season tickets are the most cost effective and time efficient option for regular commuters
seasoned tickets are the most cost effective and time efficient option for regular commuters.
seasoned tickets are the most cost effective and time efficient option for regular commuters. season tickets are the most cost effective and time efficient option for regular commuters. seasoned tickets are the most cost effective and time efficient option for regular commuters. seas and tickets are the most cost effec...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['seasoned tickets are the most cost effective and time efficient option for regular commuters', 'seasoned tickets are the most cost effective and time efficient option for regular commuters', 'season tickets ar...
[ "for the book they selected hundreds of texts and arranged them thematically", "for the book they selected hundreds of texts and arranged them them thematically", "for the book they selected hundreds of texts and arranged them thematically", "for the book they selected hundreds of texts and arranged them them...
for the book they selected hundreds of texts and arranged them thematically
for the book they selected hundreds of texts and arranged them thematically.
for the book they selected hundreds of texts and arranged them them thematically. for the book they selected hundreds of texts and arranged them thematically. for the book they selected hundreds of texts and arranged them themitically. for the book they selected hundreds of texts and arranged them thematically.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the book they selected hundreds of texts and arranged them thematically', 'for the book they selected hundreds of texts and arranged them them thematically', 'for the book they selected hundreds of texts a...
[ "on the opposite side is judas clutching a purse with thirty pieces of silver", "on the opposite side is judas clutching a purse with thirty pieces of silver", "on the opposite side is judas clutching a purse with thirty pieces of silver", "on the opposite side is judas clutching a purse with thirty pieces of...
on the opposite side is judas clutching a purse with thirty pieces of silver
on the opposite side is judas clutching a purse with thirty pieces of silver.
on the opposite side is judas clutching a purse with thirty pieces of silver. on the opposite side is judas clutching a purse with thirty pieces of silver. on the opposite side is judas clutching a purse with thirty pieces of silver. on the opposite side is judas clutching a purse with thirty pieces of silver.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on the opposite side is judas clutching a purse with thirty pieces of silver', 'on the opposite side is judas clutching a purse with thirty pieces of silver', 'on the opposite side is judas clutching a purse w...
[ "the flutter crater remnant gregie f is attached to the south west exterior", "the flutter crater remnant gregie f is attached to the south west exterior", "the flutter crater remnant geriki f is attached to the south west exterior", "the flutter crater remnant gregie f is attached to the south west exterior"...
the flooded crater remnant guericke f is attached to the southwest exterior
the flutter crater remnant gregie f is attached to the south west exterior.
the flutter crater remnant gregie f is attached to the south west exterior. the flutter crater remnant geriki f is attached to the south west exterior. the flutter crater remnant gregie f is attached to the south west exterior. the flutter crater remnant greaky f is attached to the south west exterior.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the flutter crater remnant gregie f is attached to the south west exterior', 'the flutter crater remnant gregie f is attached to the south west exterior', 'the flutter crater remnant geriki f is attached to th...
[ "he was an attractive left hand batsman and a useful spinner", "he was an attractive left hand batsman and a useful spinner", "he was an attractive left hand batsman and a useful spinner", "he was an attractive left hand batsman and a useful spinner", "he was an attractive left hand batsman and a useful spi...
he was an attractive left hand batsman and a useful spinner
he was an attractive left hand batsman and a useful spinner.
he was an attractive left hand batsman and a useful spinner. he was an attractive left hand batsman and a useful spinner. he was an attractive left hand batsman and a useful spinner. he was an attractive left hand batsman and a useful spinner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was an attractive left hand batsman and a useful spinner', 'he was an attractive left hand batsman and a useful spinner', 'he was an attractive left hand batsman and a useful spinner', 'he was an attractive...
[ "moral among the band was ratholo", "moral among the band was rathola", "moral among the band was rathodon", "moral among the band was rathulun", "moral among the band was rathulon" ]
morale among the band was rather low
moral among the band was ratholo.
moral among the band was rathola. moral among the band was rathodon. moral among the band was rathulun. moral among the band was rathulon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['moral among the band was ratholo', 'moral among the band was rathola', 'moral among the band was rathodon', 'moral among the band was rathulun', 'moral among the band was rathulon']
[ "people are sitting on a train or subway", "people are sitting on a train or subway", "people are sitting on a train or subway", "people are sitting on a train or subway", "people are sitting on a train or subway" ]
people are sitting on a train or subway
people are sitting on a train or subway.
people are sitting on a train or subway. people are sitting on a train or subway. people are sitting on a train or subway. people are sitting on a train or subway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['people are sitting on a train or subway', 'people are sitting on a train or subway', 'people are sitting on a train or subway', 'people are sitting on a train or subway', 'people are sitting on a train or subw...
[ "too much heat results in a product with reduced adhesive qualities", "too much heat results in a product with reduced adhesive qualities", "too much it results in a product with reduced adhesive qualities", "too much heat results in a product with reduced adhesive qualities", "too much it results in a prod...
too much heat results in a product with reduced adhesive qualities
too much heat results in a product with reduced adhesive qualities.
too much heat results in a product with reduced adhesive qualities. too much it results in a product with reduced adhesive qualities. too much heat results in a product with reduced adhesive qualities. too much it results in a product with reduced adhesive qualities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['too much heat results in a product with reduced adhesive qualities', 'too much heat results in a product with reduced adhesive qualities', 'too much it results in a product with reduced adhesive qualities', 't...
[ "in india black forest gaitu is generally prepared without alcohol", "in india black forest narrative is generally prepared without alcohol", "in india black forest guilty is generally prepared without alcohol", "in india black forest guetiu is generally prepared without alcohol", "in india black forest gui...
in india black forest gateau is generally prepared without alcohol
in india black forest gaitu is generally prepared without alcohol.
in india black forest narrative is generally prepared without alcohol. in india black forest guilty is generally prepared without alcohol. in india black forest guetiu is generally prepared without alcohol. in india black forest guided is generally prepared without alcohol.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in india black forest gaitu is generally prepared without alcohol', 'in india black forest narrative is generally prepared without alcohol', 'in india black forest guilty is generally prepared without alcohol'...
[ "a food can then most of the installation still exists but is delayed", "a food can then most of the installation still exists but is delayed", "a food can then most of the installation still exist but is delayed", "a food can then most of the distillation still exists but is delayed", "a food can then most...
at fort camden most of the installation still exists but is derelict
a food can then most of the installation still exists but is delayed.
a food can then most of the installation still exists but is delayed. a food can then most of the installation still exist but is delayed. a food can then most of the distillation still exists but is delayed. a food can then most of the installation still exist but is delayed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a food can then most of the installation still exists but is delayed', 'a food can then most of the installation still exists but is delayed', 'a food can then most of the installation still exist but is delay...
[ "you said about ten tell me your opinions", "if you said about ten tell me your repeat this", "if you said about ten tell me your repeat this", "you said about ten tell me your opinions", "you said about ten so only repeat this" ]
you said about ten tony repeats
you said about ten tell me your opinions.
if you said about ten tell me your repeat this. if you said about ten tell me your repeat this. you said about ten tell me your opinions. you said about ten so only repeat this.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you said about ten tell me your opinions', 'if you said about ten tell me your repeat this', 'if you said about ten tell me your repeat this', 'you said about ten tell me your opinions', 'you said about ten so...
[ "ian orson pratt were the first two mormons to enter the valley", "ian orson pratt were the first to mormons to enter the valley", "he and orson pratt were the first two mormons to enter the valley", "ian orson pratt was the first to mormons to enter the valley", "ian orson pratt with the first two mormons ...
he and orson pratt were the first two mormons to enter the valley
ian orson pratt were the first two mormons to enter the valley.
ian orson pratt were the first to mormons to enter the valley. he and orson pratt were the first two mormons to enter the valley. ian orson pratt was the first to mormons to enter the valley. ian orson pratt with the first two mormons to enter the valley.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ian orson pratt were the first two mormons to enter the valley', 'ian orson pratt were the first to mormons to enter the valley', 'he and orson pratt were the first two mormons to enter the valley', 'ian orson...
[ "the map engendered controversy", "the map engendered controversy", "the map engendered controversy", "the map engendered controversy", "the map engendered controversy" ]
the map engendered controversy
the map engendered controversy.
the map engendered controversy. the map engendered controversy. the map engendered controversy. the map engendered controversy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the map engendered controversy', 'the map engendered controversy', 'the map engendered controversy', 'the map engendered controversy', 'the map engendered controversy']
[ "he died in lansing and is entered in mount hope cemetery there", "he died in lansing and is entered in mount hope symmetry there", "she died in lansing and is entered in mount hope cemetery there", "he died in lansing and is entered in mount hope symmetry there", "he died in lansing and is entered in mount...
he died in lansing and is interred in mount hope cemetery there
he died in lansing and is entered in mount hope cemetery there.
he died in lansing and is entered in mount hope symmetry there. she died in lansing and is entered in mount hope cemetery there. he died in lansing and is entered in mount hope symmetry there. he died in lansing and is entered in mount hoops cemetery there.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he died in lansing and is entered in mount hope cemetery there', 'he died in lansing and is entered in mount hope symmetry there', 'she died in lansing and is entered in mount hope cemetery there', 'he died in...
[ "the episode introduced the character francis griffin peter is obsessively deviled irish catholic father", "the episode introduced the character francis griffin peter is obsessively deviled irish catholic father", "the episode introduced the character francis griffin peter is obsessedly deviled irish catholic f...
the episode introduced the character francis griffin peter is obsessively devout irish catholic father
the episode introduced the character francis griffin peter is obsessively deviled irish catholic father.
the episode introduced the character francis griffin peter is obsessively deviled irish catholic father. the episode introduced the character francis griffin peter is obsessedly deviled irish catholic father. the episode introduced the character francis griffin peter is obsessedly deviled irish catholic father. the epi...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the episode introduced the character francis griffin peter is obsessively deviled irish catholic father', 'the episode introduced the character francis griffin peter is obsessively deviled irish catholic fathe...
[ "moisture is removed and latent heat released as the air mass is autographically lifted", "moisture is removed and latent heat released as the air mass is autobiographically lifted", "moisture is removed and latent heat released as the air mass is orthographically lifted", "moisture is removed and latent heat...
moisture is removed and latent heat released as the air mass is orographically lifted
moisture is removed and latent heat released as the air mass is autographically lifted.
moisture is removed and latent heat released as the air mass is autobiographically lifted. moisture is removed and latent heat released as the air mass is orthographically lifted. moisture is removed and latent heat released as the airmass is autographically lifted. moisture is removed and latent heat released as the a...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['moisture is removed and latent heat released as the air mass is autographically lifted', 'moisture is removed and latent heat released as the air mass is autobiographically lifted', 'moisture is removed and la...
[ "sections of the parkway near the tunnels are often closed in winter", "sections of the parkway near the tunnels are often closed in winter", "sections of the parkway near the tunnels are often closed in winter", "sections of the parkway near the tunnels are often closed in winter", "sections of the parkway...
sections of the parkway near the tunnels are often closed in winter
sections of the parkway near the tunnels are often closed in winter.
sections of the parkway near the tunnels are often closed in winter. sections of the parkway near the tunnels are often closed in winter. sections of the parkway near the tunnels are often closed in winter. sections of the parkway near the tunnels are often closed in winter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sections of the parkway near the tunnels are often closed in winter', 'sections of the parkway near the tunnels are often closed in winter', 'sections of the parkway near the tunnels are often closed in winter...
[ "butler looked at aunt", "butler looked at aunt", "butler looked at aunt", "butler looked at aunt", "butler looked at aunt" ]
butler looked at aunt
butler looked at aunt.
butler looked at aunt. butler looked at aunt. butler looked at aunt. butler looked at aunt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['butler looked at aunt', 'butler looked at aunt', 'butler looked at aunt', 'butler looked at aunt', 'butler looked at aunt']
[ "again it all takes a picture in front of a blue background with a print", "again it all takes a picture in front of a blue background with your print", "again it all takes a picture in front of a blue background with their print", "again it all takes a picture in front of a blue background with your front", ...
a girl takes a picture in front of a blue background with her friend
again it all takes a picture in front of a blue background with a print.
again it all takes a picture in front of a blue background with your print. again it all takes a picture in front of a blue background with their print. again it all takes a picture in front of a blue background with your front. again it all takes a picture in front of a blue background with their front.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['again it all takes a picture in front of a blue background with a print', 'again it all takes a picture in front of a blue background with your print', 'again it all takes a picture in front of a blue backgrou...
[ "one day poseidon filled with lust for tyro disguised himself as any pose", "one day poseidon filled with lust for tyro disguised himself as any pose", "one day poseidon filled with lust for tyro disguised himself as enipus", "one day poseidon filled with lustful tyro disguised himself as any pose", "one da...
one day poseidon filled with lust for tyro disguised himself as enipeus
one day poseidon filled with lust for tyro disguised himself as any pose.
one day poseidon filled with lust for tyro disguised himself as any pose. one day poseidon filled with lust for tyro disguised himself as enipus. one day poseidon filled with lustful tyro disguised himself as any pose. one day poseidon filled with lust for tyro disguised himself as enipus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one day poseidon filled with lust for tyro disguised himself as any pose', 'one day poseidon filled with lust for tyro disguised himself as any pose', 'one day poseidon filled with lust for tyro disguised hims...
[ "the mule is a central character in foundation and empire and second foundation", "the mule is a central character in foundation in empire and second foundation", "the mule is a central character in foundation in empire and second foundation", "the mule is a central character in foundation and empire and seco...
the mule is a central character in foundation and empire and second foundation
the mule is a central character in foundation and empire and second foundation.
the mule is a central character in foundation in empire and second foundation. the mule is a central character in foundation in empire and second foundation. the mule is a central character in foundation and empire and second foundation. the mule is a central character in foundation and empire and second foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mule is a central character in foundation and empire and second foundation', 'the mule is a central character in foundation in empire and second foundation', 'the mule is a central character in foundation ...
[ "these insurgents were normally stalked by using crane crackers who directed the reaction force", "these insurgents were normally stopped by using crane crackers who directed the reaction force", "these insurgents were normally stalked by using crann crackers who directed the reaction force", "these insurgent...
these insurgents were normally stalked by using trained trackers who directed the reaction force
these insurgents were normally stalked by using crane crackers who directed the reaction force.
these insurgents were normally stopped by using crane crackers who directed the reaction force. these insurgents were normally stalked by using crann crackers who directed the reaction force. these insurgents were normally stalked by using crane crackers who directed the reaction force. these insurgents were normally s...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these insurgents were normally stalked by using crane crackers who directed the reaction force', 'these insurgents were normally stopped by using crane crackers who directed the reaction force', 'these insurge...
[ "into his services he introduced many peculiarities", "into his services he introduced many peculiarities", "into his services he introduced many peculiarities", "in his services he introduced many peculiarities", "into his services he introduced many peculiarities" ]
into his services he introduced many peculiarities
into his services he introduced many peculiarities.
into his services he introduced many peculiarities. into his services he introduced many peculiarities. in his services he introduced many peculiarities. into his services he introduced many peculiarities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['into his services he introduced many peculiarities', 'into his services he introduced many peculiarities', 'into his services he introduced many peculiarities', 'in his services he introduced many peculiaritie...
[ "he was also a professor of chamber music at the paris conservatoire", "he was also professor of chamber music at the paris conservatoire", "he was also a professor of chamber music at the paris conservatoire", "he was also professor of chamber music at the paris conservatoire", "he was also professor of ch...
he was also professor of chamber music at the paris conservatoire
he was also a professor of chamber music at the paris conservatoire.
he was also professor of chamber music at the paris conservatoire. he was also a professor of chamber music at the paris conservatoire. he was also professor of chamber music at the paris conservatoire. he was also professor of chamber music at the paris conservatoire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was also a professor of chamber music at the paris conservatoire', 'he was also professor of chamber music at the paris conservatoire', 'he was also a professor of chamber music at the paris conservatoire',...
[ "a girl riding a pony with braids and pink bows", "a girl riding a pony with braids and a pink bows", "a girl riding a pony with braids and a pink bows", "a girl riding a pony with braids and a pink bows", "a girl riding a pony with braids and a pink bows" ]
a girl riding a pony with braids and pink bows
a girl riding a pony with braids and pink bows.
a girl riding a pony with braids and a pink bows. a girl riding a pony with braids and a pink bows. a girl riding a pony with braids and a pink bows. a girl riding a pony with braids and a pink bows.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a girl riding a pony with braids and pink bows', 'a girl riding a pony with braids and a pink bows', 'a girl riding a pony with braids and a pink bows', 'a girl riding a pony with braids and a pink bows', 'a g...
[ "it also serves as headquarters for the chicago children is choir", "it also serves as headquarters for the chicago children is choir", "it also serves as headquarters for the chicago children is choir", "it also serves as headquarters for the chicago children is corps", "it also serves as headquarters with...
it also serves as headquarters for the chicago children is choir
it also serves as headquarters for the chicago children is choir.
it also serves as headquarters for the chicago children is choir. it also serves as headquarters for the chicago children is choir. it also serves as headquarters for the chicago children is corps. it also serves as headquarters with the chicago children is choir.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also serves as headquarters for the chicago children is choir', 'it also serves as headquarters for the chicago children is choir', 'it also serves as headquarters for the chicago children is choir', 'it al...
[ "this motion was referred to a magistrate judge", "this motion was referred to a magistrate judge", "this motion was referred to a magistrate church", "this motion was referred to a magistrate judge", "this motion was referred to a magistrate church" ]
this motion was referred to a magistrate judge
this motion was referred to a magistrate judge.
this motion was referred to a magistrate judge. this motion was referred to a magistrate church. this motion was referred to a magistrate judge. this motion was referred to a magistrate church.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this motion was referred to a magistrate judge', 'this motion was referred to a magistrate judge', 'this motion was referred to a magistrate church', 'this motion was referred to a magistrate judge', 'this mot...
[ "it is becoming harder to distinguish from evolutionary strategies", "it is becoming harder to distinguish from evolutionary strategies", "because becoming harder to distinguish from evolutionary strategies", "because it is becoming harder to distinguish from evolutionary strategies", "because it is becomin...
it is becoming harder to distinguish from evolutionary strategies
it is becoming harder to distinguish from evolutionary strategies.
it is becoming harder to distinguish from evolutionary strategies. because becoming harder to distinguish from evolutionary strategies. because it is becoming harder to distinguish from evolutionary strategies. because it is becoming harder to distinguish from evolutionary strategies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is becoming harder to distinguish from evolutionary strategies', 'it is becoming harder to distinguish from evolutionary strategies', 'because becoming harder to distinguish from evolutionary strategies', '...
[ "it has been produced as a musical named dance of the vampires", "it has been produced as a musical name to dance of the vampires", "it has been produced as a musical name to dance of the vampires", "it has been produced as a musical named dance of the vampires", "it has been produced as a musical named dan...
it has been produced as a musical named dance of the vampires
it has been produced as a musical named dance of the vampires.
it has been produced as a musical name to dance of the vampires. it has been produced as a musical name to dance of the vampires. it has been produced as a musical named dance of the vampires. it has been produced as a musical named dance of the vampires.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has been produced as a musical named dance of the vampires', 'it has been produced as a musical name to dance of the vampires', 'it has been produced as a musical name to dance of the vampires', 'it has bee...
[ "hatfield was later acquitted of marijuana possession charges", "hatfield was later acquitted of marijuana possession charges", "hattfield was later acquitted of marijuana possession charges", "half filled was later acquitted of marijuana possession charges", "halffield was later acquitted of marijuana poss...
hatfield was later acquitted of marijuana possession charges
hatfield was later acquitted of marijuana possession charges.
hatfield was later acquitted of marijuana possession charges. hattfield was later acquitted of marijuana possession charges. half filled was later acquitted of marijuana possession charges. halffield was later acquitted of marijuana possession charges.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hatfield was later acquitted of marijuana possession charges', 'hatfield was later acquitted of marijuana possession charges', 'hattfield was later acquitted of marijuana possession charges', 'half filled was ...
[ "the song revert is a tba to revert phoenix", "the song river is a tba to river phoenix", "the song revert is a tbh to revert phoenix", "the song revert is a tbh to revert phoenix", "the song river is a tribute to river phoenix" ]
the song river is a tribute to river phoenix
the song revert is a tba to revert phoenix.
the song river is a tba to river phoenix. the song revert is a tbh to revert phoenix. the song revert is a tbh to revert phoenix. the song river is a tribute to river phoenix.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the song revert is a tba to revert phoenix', 'the song river is a tba to river phoenix', 'the song revert is a tbh to revert phoenix', 'the song revert is a tbh to revert phoenix', 'the song river is a tribute...
[ "the creature is eventually lured to a neon sign and appears to be defeated", "the creature is eventually lured to a neon sign and appears to be defeated", "the creature is eventually lured to a neon sign and appears to be defeated", "the creature is eventually lured to a neon sign and appears to be defeated"...
the creature is eventually lured to a neon sign and appears to be defeated
the creature is eventually lured to a neon sign and appears to be defeated.
the creature is eventually lured to a neon sign and appears to be defeated. the creature is eventually lured to a neon sign and appears to be defeated. the creature is eventually lured to a neon sign and appears to be defeated. the creature is eventually lured to a neon sign and appears to be defeated.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the creature is eventually lured to a neon sign and appears to be defeated', 'the creature is eventually lured to a neon sign and appears to be defeated', 'the creature is eventually lured to a neon sign and a...
[ "benidome and alicante cities are the major tourist centers", "benny dome and alicante cities are the major tourist centers", "benidome and alicante cities are the major tourist centers", "benny dome and alicante cities are the major tourist centers", "benny dome and elecante cities are the major tourist ce...
benidorm and alicante cities are the major tourist centers
benidome and alicante cities are the major tourist centers.
benny dome and alicante cities are the major tourist centers. benidome and alicante cities are the major tourist centers. benny dome and alicante cities are the major tourist centers. benny dome and elecante cities are the major tourist centers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['benidome and alicante cities are the major tourist centers', 'benny dome and alicante cities are the major tourist centers', 'benidome and alicante cities are the major tourist centers', 'benny dome and alican...
[ "they left behind an acid burn staying on a table and corroded plumbing", "they left behind an acid burn stay on a table and corroded plumbing", "they left behind an acid burn staying on a table and corroded plumping", "they left behind an acid burn stay in on a table and corroded plumping", "they left behi...
they left behind an acid burn stain on a table and corroded plumbing
they left behind an acid burn staying on a table and corroded plumbing.
they left behind an acid burn stay on a table and corroded plumbing. they left behind an acid burn staying on a table and corroded plumping. they left behind an acid burn stay in on a table and corroded plumping. they left behind an acid burn stay on a table and corroded plumping.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they left behind an acid burn staying on a table and corroded plumbing', 'they left behind an acid burn stay on a table and corroded plumbing', 'they left behind an acid burn staying on a table and corroded pl...
[ "he was also appointed attorney general", "he was also appointed attorney general", "he was also appointed attorney general", "he was also appointed attorney general", "he was also appointed attorney general" ]
he was also appointed attorney general
he was also appointed attorney general.
he was also appointed attorney general. he was also appointed attorney general. he was also appointed attorney general. he was also appointed attorney general.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was also appointed attorney general', 'he was also appointed attorney general', 'he was also appointed attorney general', 'he was also appointed attorney general', 'he was also appointed attorney general']
[ "it is normally assumed that the chargers in question have the same sign", "it is normally assumed that the charges in question have the same sign", "it is normally assumed that the chargers in question have the same sign", "it is normally assumed that the chargers in question have the same sign", "it is no...
it is normally assumed that the charges in question have the same sign
it is normally assumed that the chargers in question have the same sign.
it is normally assumed that the charges in question have the same sign. it is normally assumed that the chargers in question have the same sign. it is normally assumed that the chargers in question have the same sign. it is normally assumed that the charges in question have the same sign.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is normally assumed that the chargers in question have the same sign', 'it is normally assumed that the charges in question have the same sign', 'it is normally assumed that the chargers in question have th...
[ "it is glandular and hairy on the upper parts", "it is a glandular and hairy on the upper parts", "it is glandelor and hairy on the upper parts", "it is a glandular and hairy on the upper parts", "it is glandular and hairy on the upper parts" ]
it is glandular and hairy on the upper parts
it is glandular and hairy on the upper parts.
it is a glandular and hairy on the upper parts. it is glandelor and hairy on the upper parts. it is a glandular and hairy on the upper parts. it is glandular and hairy on the upper parts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is glandular and hairy on the upper parts', 'it is a glandular and hairy on the upper parts', 'it is glandelor and hairy on the upper parts', 'it is a glandular and hairy on the upper parts', 'it is glandul...
[ "rabbi dover moshe sun was rabbi yusuf friedman", "rabbi dover moshe sun was rabbi yusuf friedman", "rabbi dover moshe sun was rabbi yusul friedman", "rabbi dover moshe sun was rabbi yusur friedman", "rabbi dovet moshe sun was rabbi yusuf friedman" ]
rabbi dovid moshe is son was rabbi yisroel friedman
rabbi dover moshe sun was rabbi yusuf friedman.
rabbi dover moshe sun was rabbi yusuf friedman. rabbi dover moshe sun was rabbi yusul friedman. rabbi dover moshe sun was rabbi yusur friedman. rabbi dovet moshe sun was rabbi yusuf friedman.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rabbi dover moshe sun was rabbi yusuf friedman', 'rabbi dover moshe sun was rabbi yusuf friedman', 'rabbi dover moshe sun was rabbi yusul friedman', 'rabbi dover moshe sun was rabbi yusur friedman', 'rabbi dov...
[ "by her own account the sudden deaths precipitated a profound identity crisis", "by her own account the sudden deaths precipitated a profound identity crisis", "by her own account the sudden deaths precipitated a profound identity crisis", "by her own account the sudden deaths precipitated a profound identity...
by her own account the sudden deaths precipitated a profound identity crisis
by her own account the sudden deaths precipitated a profound identity crisis.
by her own account the sudden deaths precipitated a profound identity crisis. by her own account the sudden deaths precipitated a profound identity crisis. by her own account the sudden deaths precipitated a profound identity crisis. by her own account the sudden deaths precipitated a profound identity crisis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by her own account the sudden deaths precipitated a profound identity crisis', 'by her own account the sudden deaths precipitated a profound identity crisis', 'by her own account the sudden deaths precipitated...
[ "the current director of music is malcolm singer", "the current director of music is malcolm singer", "the current director of music is malcolm singer", "the current director of music is malcom singer", "the current director of music is melcom singer" ]
the current director of music is malcolm singer
the current director of music is malcolm singer.
the current director of music is malcolm singer. the current director of music is malcolm singer. the current director of music is malcom singer. the current director of music is melcom singer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current director of music is malcolm singer', 'the current director of music is malcolm singer', 'the current director of music is malcolm singer', 'the current director of music is malcom singer', 'the cu...
[ "mosheweb do not use his visa", "mushabib do not use his visa", "mosheweb did not use his visa", "mushweb do not use his visa", "mushavib do not use his visa" ]
mushabib did not use his visa
mosheweb do not use his visa.
mushabib do not use his visa. mosheweb did not use his visa. mushweb do not use his visa. mushavib do not use his visa.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mosheweb do not use his visa', 'mushabib do not use his visa', 'mosheweb did not use his visa', 'mushweb do not use his visa', 'mushavib do not use his visa']
[ "we continue in office to register a office president is fee", "we continue in office to register a office presidency", "we continue in the office to register a office president is fee", "he continued in office to register a office president is fee", "we continue in office to adjust to a office president is...
he continued in office during chester a arthur is presidency
we continue in office to register a office president is fee.
we continue in office to register a office presidency. we continue in the office to register a office president is fee. he continued in office to register a office president is fee. we continue in office to adjust to a office president is view.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we continue in office to register a office president is fee', 'we continue in office to register a office presidency', 'we continue in the office to register a office president is fee', 'he continued in office...
[ "a meat type of pop song in this video is based on personal experience", "a meat type of pop punch song is created by opus based on personal experience", "a meat type of pop punch song is created by open based on personal experience", "a meat type of pop punch song is created by opus based on personal experie...
a mid tempo pop punk song it was written by hoppus based on personal experience
a meat type of pop song in this video is based on personal experience.
a meat type of pop punch song is created by opus based on personal experience. a meat type of pop punch song is created by open based on personal experience. a meat type of pop punch song is created by opus based on personal experience. a meat type of pop punch song is created by open based on personal experience.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a meat type of pop song in this video is based on personal experience', 'a meat type of pop punch song is created by opus based on personal experience', 'a meat type of pop punch song is created by open based ...
[ "to punish them god sent a drought", "to finish them god sent a drought", "to punish them god sent a droid", "to punish them god sent a drought", "to punish them god sent a drawt" ]
to punish them god sent a drought
to punish them god sent a drought.
to finish them god sent a drought. to punish them god sent a droid. to punish them god sent a drought. to punish them god sent a drawt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to punish them god sent a drought', 'to finish them god sent a drought', 'to punish them god sent a droid', 'to punish them god sent a drought', 'to punish them god sent a drawt']
[ "shall we take a hard line on leaks of classified information", "shall we took a hard line on leaks of classified information", "shall we took a hard line on leaks of classified information", "shall we took a hard line on leaks of classified information", "shall we take a hard line on leaks of classified in...
shelby took a hard line on leaks of classified information
shall we take a hard line on leaks of classified information.
shall we took a hard line on leaks of classified information. shall we took a hard line on leaks of classified information. shall we took a hard line on leaks of classified information. shall we take a hard line on leaks of classified information.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shall we take a hard line on leaks of classified information', 'shall we took a hard line on leaks of classified information', 'shall we took a hard line on leaks of classified information', 'shall we took a h...
[ "he died at izelben", "he died at eizelben", "he died at isleben", "he died at izelben", "he died at islebin" ]
he died at eisleben
he died at izelben.
he died at eizelben. he died at isleben. he died at izelben. he died at islebin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he died at izelben', 'he died at eizelben', 'he died at isleben', 'he died at izelben', 'he died at islebin']
[ "there are many references to religion and popular culture", "there are many references to a virgin in popular culture", "there are many references to origin and popular culture", "there are many references to origin in popular culture", "there are many references to religion in popular culture" ]
there have been many references to the legend in popular culture
there are many references to religion and popular culture.
there are many references to a virgin in popular culture. there are many references to origin and popular culture. there are many references to origin in popular culture. there are many references to religion in popular culture.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are many references to religion and popular culture', 'there are many references to a virgin in popular culture', 'there are many references to origin and popular culture', 'there are many references to ...
[ "this allows records of one file format to be converted into others", "this allows records of one file format to be converted into others", "this allows records of one file format to be converted into others", "this allows records of one point five format to be converted into others", "this allows records o...
this allows records of one file format to be converted into others
this allows records of one file format to be converted into others.
this allows records of one file format to be converted into others. this allows records of one file format to be converted into others. this allows records of one point five format to be converted into others. this allows records of onefile format to be converted into others.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this allows records of one file format to be converted into others', 'this allows records of one file format to be converted into others', 'this allows records of one file format to be converted into others', ...
[ "i wonder if the man last night had seen that i recognized him", "i wonder if the man last night had seen that i recognized him", "i wonder if the man last night had seen that i recognized him", "i wonder if the man last night had seen that i recognized him", "i wonder if the man last night had seen that i ...
i wondered if the man last night had seen that i recognized him
i wonder if the man last night had seen that i recognized him.
i wonder if the man last night had seen that i recognized him. i wonder if the man last night had seen that i recognized him. i wonder if the man last night had seen that i recognized him. i wonder if the man last night had seen that i recognized him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i wonder if the man last night had seen that i recognized him', 'i wonder if the man last night had seen that i recognized him', 'i wonder if the man last night had seen that i recognized him', 'i wonder if th...
[ "market as well as ralph waldo amazon and henry david thoreau", "market as well as ralph waldo amazon and henry david thoreau", "market as well as ralph waldo emerson and henry david thoreau", "market as well as ralph waldo amazon and henry david through", "market as well as ralph waldo emerson and henry da...
marquette as well as ralph waldo emerson and henry david thoreau
market as well as ralph waldo amazon and henry david thoreau.
market as well as ralph waldo amazon and henry david thoreau. market as well as ralph waldo emerson and henry david thoreau. market as well as ralph waldo amazon and henry david through. market as well as ralph waldo emerson and henry david thoreau.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['market as well as ralph waldo amazon and henry david thoreau', 'market as well as ralph waldo amazon and henry david thoreau', 'market as well as ralph waldo emerson and henry david thoreau', 'market as well a...
[ "his platform was to prepare china for constitutional government land reform and price control", "his platform was to prepare china for constitutional government land reform and price control", "his platform was to prepare china for constitutional government land reform and price control", "his platform was t...
his platform was to prepare china for constitutional government land reform and price control
his platform was to prepare china for constitutional government land reform and price control.
his platform was to prepare china for constitutional government land reform and price control. his platform was to prepare china for constitutional government land reform and price control. his platform was to prepare china for constitutional government land reform and price control. his platform was to prepare china f...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his platform was to prepare china for constitutional government land reform and price control', 'his platform was to prepare china for constitutional government land reform and price control', 'his platform wa...
[ "the lake is famous for its sunken riding ships", "the lake is famous for its sunken rodent ships", "the lake is famous for its sunken writing ships", "the lake is famous for its sunken rodent ships", "the lake is famous for its sunken rodent ships" ]
the lake is famous for its sunken roman ships
the lake is famous for its sunken riding ships.
the lake is famous for its sunken rodent ships. the lake is famous for its sunken writing ships. the lake is famous for its sunken rodent ships. the lake is famous for its sunken rodent ships.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the lake is famous for its sunken riding ships', 'the lake is famous for its sunken rodent ships', 'the lake is famous for its sunken writing ships', 'the lake is famous for its sunken rodent ships', 'the lake...
[ "the first settlers around kitapa one were predominantly manobos", "the first settlers around kitapa one were predominantly manobos", "the first settlers around kitapa one were predominantly manobos", "the first settlers around kitapa one were predominantly manobos", "the first settlers around kitapa i were...
the first settlers around kidapawan were predominantly manobos
the first settlers around kitapa one were predominantly manobos.
the first settlers around kitapa one were predominantly manobos. the first settlers around kitapa one were predominantly manobos. the first settlers around kitapa one were predominantly manobos. the first settlers around kitapa i were predominantly manobos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first settlers around kitapa one were predominantly manobos', 'the first settlers around kitapa one were predominantly manobos', 'the first settlers around kitapa one were predominantly manobos', 'the firs...
[ "man in an orange face is sitting down in front of a computer at this", "man in an orange face is sitting down in front of a computer at dusk", "man in an orange face is sitting down in front of a computer a desk", "man in an orange fist is sitting down in front of a computer at this", "man in an orange fac...
man in an orange vest is sitting down in front of a computer at a desk
man in an orange face is sitting down in front of a computer at this.
man in an orange face is sitting down in front of a computer at dusk. man in an orange face is sitting down in front of a computer a desk. man in an orange fist is sitting down in front of a computer at this. man in an orange face is sitting down in front of a computer a desk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['man in an orange face is sitting down in front of a computer at this', 'man in an orange face is sitting down in front of a computer at dusk', 'man in an orange face is sitting down in front of a computer a de...
[ "states of the small energy are better than those of a greater energy", "states of the smaller energy are better than those of a greater energy", "states of a smaller energy are better than those of a greater energy", "states of a small energy are better than those of a greater energy", "state of the small ...
states with a smaller energy are better than those with a greater energy
states of the small energy are better than those of a greater energy.
states of the smaller energy are better than those of a greater energy. states of a smaller energy are better than those of a greater energy. states of a small energy are better than those of a greater energy. state of the small energy are better than those of a greater energy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['states of the small energy are better than those of a greater energy', 'states of the smaller energy are better than those of a greater energy', 'states of a smaller energy are better than those of a greater e...
[ "dangerous include pairs", "dangerous include pays", "dangers include pairs", "dangers include pays", "dangerous include pairs" ]
dangers include bears
dangerous include pairs.
dangerous include pays. dangers include pairs. dangers include pays. dangerous include pairs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dangerous include pairs', 'dangerous include pays', 'dangers include pairs', 'dangers include pays', 'dangerous include pairs']
[ "today the name mission park has been completely superseded", "today the name mission park has been completely superseded", "today the name mission park has been completely superseded", "today the name mission park has been completely superseded", "today the name mission park has been completely superseded"...
today the name mission park has been completely superseded
today the name mission park has been completely superseded.
today the name mission park has been completely superseded. today the name mission park has been completely superseded. today the name mission park has been completely superseded. today the name mission park has been completely superseded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today the name mission park has been completely superseded', 'today the name mission park has been completely superseded', 'today the name mission park has been completely superseded', 'today the name mission ...
[ "at one time an eagle was also a mascot at the school", "at one time an eagle was also a mascot at the school", "at one time an eagle was also a mascot at the school", "at one time an eagle was also a mascot at the school", "at one time an eagle was also a mascot at the school" ]
at one time an eagle was also a mascot at the school
at one time an eagle was also a mascot at the school.
at one time an eagle was also a mascot at the school. at one time an eagle was also a mascot at the school. at one time an eagle was also a mascot at the school. at one time an eagle was also a mascot at the school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at one time an eagle was also a mascot at the school', 'at one time an eagle was also a mascot at the school', 'at one time an eagle was also a mascot at the school', 'at one time an eagle was also a mascot at...
[ "the cloud should know me by now but this poet monks of china", "the clouds should know me by now but this poet monks of china", "the cloud should know me by now but this poet monks of china", "the cloud should know me by now but this poet monks of china", "the cloud should know me by now but this poet mong...
the clouds should know me by now buddhist poet monks of china
the cloud should know me by now but this poet monks of china.
the clouds should know me by now but this poet monks of china. the cloud should know me by now but this poet monks of china. the cloud should know me by now but this poet monks of china. the cloud should know me by now but this poet mongs of china.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cloud should know me by now but this poet monks of china', 'the clouds should know me by now but this poet monks of china', 'the cloud should know me by now but this poet monks of china', 'the cloud should...
[ "this term is in hegashiyama q qtwo", "this tom is in hegashiyama q qtwo", "this term is in hegashiyama qqtwo", "this tom is in hegashiyama qqtwo", "this tom is in hegashiyama qtwo" ]
his tomb is in higashiyama ku kyoto
this term is in hegashiyama q qtwo.
this tom is in hegashiyama q qtwo. this term is in hegashiyama qqtwo. this tom is in hegashiyama qqtwo. this tom is in hegashiyama qtwo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this term is in hegashiyama q qtwo', 'this tom is in hegashiyama q qtwo', 'this term is in hegashiyama qqtwo', 'this tom is in hegashiyama qqtwo', 'this tom is in hegashiyama qtwo']
[ "she worked as a runway model in paris before she became an actress", "she worked as a runway model in paris before she became an actress", "she worked as a runway model in paris before she became an actress", "she worked as a runway model in paris before she became an actress", "she worked as a runway mode...
she worked as a runway model in paris before she became an actress
she worked as a runway model in paris before she became an actress.
she worked as a runway model in paris before she became an actress. she worked as a runway model in paris before she became an actress. she worked as a runway model in paris before she became an actress. she worked as a runway model in paris before she became an actress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she worked as a runway model in paris before she became an actress', 'she worked as a runway model in paris before she became an actress', 'she worked as a runway model in paris before she became an actress', ...
[ "his professional career was spent as a researcher from international business machine", "his professional career was spent as the researcher from international business machine", "his professional career was spent as a researcher from international business machine", "his professional career was spent as a r...
his professional career was spent as a researcher for international business machines
his professional career was spent as a researcher from international business machine.
his professional career was spent as the researcher from international business machine. his professional career was spent as a researcher from international business machine. his professional career was spent as a researcher from the international business machine. his professional career was spanned as a researcher f...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his professional career was spent as a researcher from international business machine', 'his professional career was spent as the researcher from international business machine', 'his professional career was s...
[ "in bolivia the channel is available on digital television systems", "in bolivia the channel is available on digital television systems", "in bolivia the channel is available on digital television systems", "in bolivia the channel is available on digital television systems", "in bolivia the channel is avail...
in bolivia the channel is available on digital television systems
in bolivia the channel is available on digital television systems.
in bolivia the channel is available on digital television systems. in bolivia the channel is available on digital television systems. in bolivia the channel is available on digital television systems. in bolivia the channel is available on digital television systems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in bolivia the channel is available on digital television systems', 'in bolivia the channel is available on digital television systems', 'in bolivia the channel is available on digital television systems', 'in...
[ "the distributor may or may not apply fe to either option", "the distributor may or may not apply a fee to either option", "the distributor may or may not apply fe to either option", "the distributor may or may not apply fe to either option", "the distributor may or may not apply fe to either option" ]
the distributor may or may not apply a fee to either option
the distributor may or may not apply fe to either option.
the distributor may or may not apply a fee to either option. the distributor may or may not apply fe to either option. the distributor may or may not apply fe to either option. the distributor may or may not apply fe to either option.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the distributor may or may not apply fe to either option', 'the distributor may or may not apply a fee to either option', 'the distributor may or may not apply fe to either option', 'the distributor may or may...
[ "at tarry the river splits and becomes a double delta", "at tari the river splits and becomes a double delta", "at tari the river splits and becomes a double delta", "at tarry the river splits and becomes a double delta", "at tari the river splits and becomes a double delta" ]
at taree the river splits and becomes a double delta
at tarry the river splits and becomes a double delta.
at tari the river splits and becomes a double delta. at tari the river splits and becomes a double delta. at tarry the river splits and becomes a double delta. at tari the river splits and becomes a double delta.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at tarry the river splits and becomes a double delta', 'at tari the river splits and becomes a double delta', 'at tari the river splits and becomes a double delta', 'at tarry the river splits and becomes a dou...