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[ "he did it to prove that there were flaws in an emotionless police force", "he did it to prove that they were flaws in an emotionless police force", "he did it to prove that they were flaws in an emotionless police force", "he did it to prove that there were flaws in an emotionless police force", "he did it...
he did it to prove that there were flaws in an emotionless police force
he did it to prove that there were flaws in an emotionless police force.
he did it to prove that they were flaws in an emotionless police force. he did it to prove that they were flaws in an emotionless police force. he did it to prove that there were flaws in an emotionless police force. he did it to prove that there were flaws in an emotionless police force.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he did it to prove that there were flaws in an emotionless police force', 'he did it to prove that they were flaws in an emotionless police force', 'he did it to prove that they were flaws in an emotionless po...
[ "green top is part of the kirkstill micro political area", "green top is part of the kurdsville micro political area", "green top is part of the kirkstill micro political area", "green top is part of the kurzville micro political area", "grantom is part of the kirkstill micro political area" ]
greentop is part of the kirksville micropolitan statistical area
green top is part of the kirkstill micro political area.
green top is part of the kurdsville micro political area. green top is part of the kirkstill micro political area. green top is part of the kurzville micro political area. grantom is part of the kirkstill micro political area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['green top is part of the kirkstill micro political area', 'green top is part of the kurdsville micro political area', 'green top is part of the kirkstill micro political area', 'green top is part of the kurzvi...
[ "the mold build itself as the first enclosed mold in the united states", "the mold build itself is the first enclosed mold in the united states", "the mold build itself is the first enclosed wall in the united states", "the mold build itself as the first enclosed wall in the united states", "the mold built ...
the mall billed itself as the first enclosed mall in the united states
the mold build itself as the first enclosed mold in the united states.
the mold build itself is the first enclosed mold in the united states. the mold build itself is the first enclosed wall in the united states. the mold build itself as the first enclosed wall in the united states. the mold built itself as the first enclosed wall in the united states.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mold build itself as the first enclosed mold in the united states', 'the mold build itself is the first enclosed mold in the united states', 'the mold build itself is the first enclosed wall in the united ...
[ "selected models also include variable exhaust", "selected models also include varable exhaust", "selected models also include wearable exhaust", "selected models also include variable exhausts", "selected models also include verable exhaust" ]
selected models also include variable exhaust
selected models also include variable exhaust.
selected models also include varable exhaust. selected models also include wearable exhaust. selected models also include variable exhausts. selected models also include verable exhaust.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['selected models also include variable exhaust', 'selected models also include varable exhaust', 'selected models also include wearable exhaust', 'selected models also include variable exhausts', 'selected mode...
[ "they are traditionally served with a clear soup on the side", "they are traditionally served with a clear suit on the side", "they are traditionally served with a clear supe on the side", "they are traditionally served with a clear soup on the side", "they are traditionally served with a clear soup on the ...
they are traditionally served with a clear soup on the side
they are traditionally served with a clear soup on the side.
they are traditionally served with a clear suit on the side. they are traditionally served with a clear supe on the side. they are traditionally served with a clear soup on the side. they are traditionally served with a clear soup on the side.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are traditionally served with a clear soup on the side', 'they are traditionally served with a clear suit on the side', 'they are traditionally served with a clear supe on the side', 'they are traditional...
[ "a copy may be available for a fee per copy", "a copy of it will be available for a fee per copy", "a copy of it may be available for a fee per copy", "a copy of may be available for a fee per copy", "a copy of it will be available for a fee per copy" ]
a copier may be available for a fee per copy
a copy may be available for a fee per copy.
a copy of it will be available for a fee per copy. a copy of it may be available for a fee per copy. a copy of may be available for a fee per copy. a copy of it will be available for a fee per copy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a copy may be available for a fee per copy', 'a copy of it will be available for a fee per copy', 'a copy of it may be available for a fee per copy', 'a copy of may be available for a fee per copy', 'a copy of...
[ "it has a dark green foliage and bright blue spherical flower heads", "it has a dark green foliage and bright blaze spherical flower heads", "it has a dark green foliage and bright blisterical flower heads", "it has a dark green foliage and bright blue spherical flower heads", "it has a dark green foliage a...
it has a dark evergreen foliage and bright blue spherical flowerheads
it has a dark green foliage and bright blue spherical flower heads.
it has a dark green foliage and bright blaze spherical flower heads. it has a dark green foliage and bright blisterical flower heads. it has a dark green foliage and bright blue spherical flower heads. it has a dark green foliage and bright blazed spherical flower heads.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has a dark green foliage and bright blue spherical flower heads', 'it has a dark green foliage and bright blaze spherical flower heads', 'it has a dark green foliage and bright blisterical flower heads', 'i...
[ "the united states postal service operates the mount makes post office", "the united states postal service operates the mount mix post office", "the united states postal service operates the mount mixed post office", "the united states postal service operates the mount makes post office", "the united states...
the united states postal service operates the mount meigs post office
the united states postal service operates the mount makes post office.
the united states postal service operates the mount mix post office. the united states postal service operates the mount mixed post office. the united states postal service operates the mount makes post office. the united states postal service operates the mount makes 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 postal service operates the mount makes post office', 'the united states postal service operates the mount mix post office', 'the united states postal service operates the mount mixed post of...
[ "prisoners are given religious freedom and privileges while in prison", "prisoners are given religious freedom and privileges while in prison", "prisoners are given religious freedom and privileges while in prison", "prisoners are given religious freedom and privileges while in prison", "prisoners are given...
prisoners are given religious freedom and privileges while in prison
prisoners are given religious freedom and privileges while in prison.
prisoners are given religious freedom and privileges while in prison. prisoners are given religious freedom and privileges while in prison. prisoners are given religious freedom and privileges while in prison. prisoners are given religious freedom and privileges while in prison.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['prisoners are given religious freedom and privileges while in prison', 'prisoners are given religious freedom and privileges while in prison', 'prisoners are given religious freedom and privileges while in pri...
[ "some people on motorcycles are riding down the road in the same direction as a trolley car", "some people on motorcycles are riding down the road in the same direction as the trolley car", "some people are motorcycles are riding down the road in the same direction as a trolley car", "some people on motorcycl...
some people on motorcycles are riding down the road in the same direction as a trolley car
some people on motorcycles are riding down the road in the same direction as a trolley car.
some people on motorcycles are riding down the road in the same direction as the trolley car. some people are motorcycles are riding down the road in the same direction as a trolley car. some people on motorcycles are riding down the road in the same direction as a trolley car. some people on motorcycles are riding dow...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some people on motorcycles are riding down the road in the same direction as a trolley car', 'some people on motorcycles are riding down the road in the same direction as the trolley car', 'some people are mot...
[ "he was afterwards a pupil of cardinal francesco at barney", "he was afterwards a pupil of cardinal francesco at barney", "he was afterwards a pupil of cardinal francesco at banny", "he was afterwards a pupil of cardinal francesco at bany", "he was afterwards a pupil of cardinal francesco at banning" ]
he was afterwards a pupil of cardinal francesco albani
he was afterwards a pupil of cardinal francesco at barney.
he was afterwards a pupil of cardinal francesco at barney. he was afterwards a pupil of cardinal francesco at banny. he was afterwards a pupil of cardinal francesco at bany. he was afterwards a pupil of cardinal francesco at banning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was afterwards a pupil of cardinal francesco at barney', 'he was afterwards a pupil of cardinal francesco at barney', 'he was afterwards a pupil of cardinal francesco at banny', 'he was afterwards a pupil o...
[ "railway development came late to mongolia", "railway development came late to mongolia", "rauway development came late to mongolia", "railway development came late to mongolia", "railway development came late to mongolia" ]
railway development came late to mongolia
railway development came late to mongolia.
railway development came late to mongolia. rauway development came late to mongolia. railway development came late to mongolia. railway development came late to mongolia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['railway development came late to mongolia', 'railway development came late to mongolia', 'rauway development came late to mongolia', 'railway development came late to mongolia', 'railway development came late ...
[ "source code for linux to reproduce the effect is available on the web", "source code for linux to reproduce the effect is available on the web", "source code for linux to reproduce the effect is available on the web", "source code for linux to reproduce the effect is available on the web", "source code for...
source code for linux to reproduce the effect is available on the web
source code for linux to reproduce the effect is available on the web.
source code for linux to reproduce the effect is available on the web. source code for linux to reproduce the effect is available on the web. source code for linux to reproduce the effect is available on the web. source code for linux to reproduce the effect is available on the web.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['source code for linux to reproduce the effect is available on the web', 'source code for linux to reproduce the effect is available on the web', 'source code for linux to reproduce the effect is available on t...
[ "it discuss the importance of objectives and the difficulty of setting them", "it discuss the importance of objectives and the difficulty of setting them", "we discuss the importance of objectives and the difficulty of setting them", "it discuss the importance of objectives and the difficulty of setting them"...
it discussed the importance of objectives and the difficulty of setting them
it discuss the importance of objectives and the difficulty of setting them.
it discuss the importance of objectives and the difficulty of setting them. we discuss the importance of objectives and the difficulty of setting them. it discuss the importance of objectives and the difficulty of setting them. it discusses the importance of objectives and the difficulty of setting them.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it discuss the importance of objectives and the difficulty of setting them', 'it discuss the importance of objectives and the difficulty of setting them', 'we discuss the importance of objectives and the diffi...
[ "incidentally secret gardens wilderness was fionwala shari who is irish", "incidentally secret gardens wilderness was fionwala shari who was irish", "incidentally secret gardens wilderness was fionala shari who is irish", "incidentally secret gardens wilderness was fionwala sheri who is irish", "incidentall...
incidentally secret garden is violinist was fionnuala sherry who is irish
incidentally secret gardens wilderness was fionwala shari who is irish.
incidentally secret gardens wilderness was fionwala shari who was irish. incidentally secret gardens wilderness was fionala shari who is irish. incidentally secret gardens wilderness was fionwala sheri who is irish. incidentally secret gardens wildenished was fionwala shari who is irish.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['incidentally secret gardens wilderness was fionwala shari who is irish', 'incidentally secret gardens wilderness was fionwala shari who was irish', 'incidentally secret gardens wilderness was fionala shari who...
[ "these russian troops were led by colonel obehov", "these russian troops were led by colonel oberhoff", "these russian troops were led by colonel obahov", "these russian troops were led by colonel oblehov", "these russian troops were led by colonel obedov" ]
theses russian troops were led by colonel obuhov
these russian troops were led by colonel obehov.
these russian troops were led by colonel oberhoff. these russian troops were led by colonel obahov. these russian troops were led by colonel oblehov. these russian troops were led by colonel obedov.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these russian troops were led by colonel obehov', 'these russian troops were led by colonel oberhoff', 'these russian troops were led by colonel obahov', 'these russian troops were led by colonel oblehov', 'th...
[ "evdokia is sister akadirina also married a naval officer rear admiral maxim maximovic gennig", "evdochia is sister ekaterina also married a naval officer rear admiral maxim maximovic gennig", "evdokia is sister akaterina also married a naval officer rear admiral maxim maximovic gennig", "evdochia is sister e...
evdokiya is sister ekaterina also married a naval officer rear admiral maksim maksimovich genning
evdokia is sister akadirina also married a naval officer rear admiral maxim maximovic gennig.
evdochia is sister ekaterina also married a naval officer rear admiral maxim maximovic gennig. evdokia is sister akaterina also married a naval officer rear admiral maxim maximovic gennig. evdochia is sister ekaterina also married a naval officer re admiral maxim maximovic gennig. evdokia is sister ekaterina also marri...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['evdokia is sister akadirina also married a naval officer rear admiral maxim maximovic gennig', 'evdochia is sister ekaterina also married a naval officer rear admiral maxim maximovic gennig', 'evdokia is siste...
[ "the equivalent novel rating is that of master chief pd officer", "the equivalent novel rating is that of master chief pd officer", "the equivalent naval rating is that of master chief pd officer", "the equivalent novel rating is that of master chief petty officer", "the equivalent novel rating is that of m...
the equivalent naval rating is that of master chief petty officer
the equivalent novel rating is that of master chief pd officer.
the equivalent novel rating is that of master chief pd officer. the equivalent naval rating is that of master chief pd officer. the equivalent novel rating is that of master chief petty officer. the equivalent novel rating is that of master chief pd officer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the equivalent novel rating is that of master chief pd officer', 'the equivalent novel rating is that of master chief pd officer', 'the equivalent naval rating is that of master chief pd officer', 'the equival...
[ "the mansfield school district was a one high school district for many years", "the mansfield school district was a one high school district for many years", "a man is field school district was a one high school district for many years", "the man is field school district was a one high school district for man...
the mansfield school district was a one high school district for many years
the mansfield school district was a one high school district for many years.
the mansfield school district was a one high school district for many years. a man is field school district was a one high school district for many years. the man is field school district was a one high school district for many years. the man is field school district was a one high school district for many years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mansfield school district was a one high school district for many years', 'the mansfield school district was a one high school district for many years', 'a man is field school district was a one high schoo...
[ "she originally studied mathematics and economics in kazan before she chose to acting", "she originally studied mathematics and economics in kazan", "she originally studied mathematics and economics in kazakhstan", "she originally studied mathematics and economics in kazan before she took to acting", "she o...
she originally studied mathematics and economics in kazan before switching to acting
she originally studied mathematics and economics in kazan before she chose to acting.
she originally studied mathematics and economics in kazan. she originally studied mathematics and economics in kazakhstan. she originally studied mathematics and economics in kazan before she took to acting. she originally studied mathematics and economics in kazakhstan before she chose to acting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she originally studied mathematics and economics in kazan before she chose to acting', 'she originally studied mathematics and economics in kazan', 'she originally studied mathematics and economics in kazakhst...
[ "it serves to ensure that the property is not left in limbo without recognized ownership", "it serves to ensure that property is not left in limbo without recognized ownership", "it serves to ensure that the property is not left in limbo without recognized ownership", "it serves to ensure that the property is...
it serves to ensure that property is not left in limbo without recognized ownership
it serves to ensure that the property is not left in limbo without recognized ownership.
it serves to ensure that property is not left in limbo without recognized ownership. it serves to ensure that the property is not left in limbo without recognized ownership. it serves to ensure that the property is not left in limbo without recognized ownership. it serves to ensure that the property is not left in limb...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it serves to ensure that the property is not left in limbo without recognized ownership', 'it serves to ensure that property is not left in limbo without recognized ownership', 'it serves to ensure that the pr...
[ "a person who studies vectorology is a vectorologist", "a person who stratates vectorology is a vectorologist", "a person whose threat is vectorology is a vectorologist", "a person who steadies vectorology is a vectorologist", "a person who steadies vectorology is a vectorologist" ]
a person who studies bacteriology is a bacteriologist
a person who studies vectorology is a vectorologist.
a person who stratates vectorology is a vectorologist. a person whose threat is vectorology is a vectorologist. a person who steadies vectorology is a vectorologist. a person who steadies vectorology is a vectorologist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a person who studies vectorology is a vectorologist', 'a person who stratates vectorology is a vectorologist', 'a person whose threat is vectorology is a vectorologist', 'a person who steadies vectorology is a...
[ "the building was painted green after mother is bob took ownership of it", "the building was painted green after mother is bow to ownership of it", "the building was painted green after mother is bow to ownership of it", "the building was painted green after mother is bow took ownership of it", "the buildin...
the building was painted green after mothersbaugh took ownership of it
the building was painted green after mother is bob took ownership of it.
the building was painted green after mother is bow to ownership of it. the building was painted green after mother is bow to ownership of it. the building was painted green after mother is bow took ownership of it. the building was painted green after mother is bow to ownership of it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the building was painted green after mother is bob took ownership of it', 'the building was painted green after mother is bow to ownership of it', 'the building was painted green after mother is bow to ownersh...
[ "there may be more than one structural unit in the repeat unit", "there may be more than one structural unit in the repeat unit", "there may be more than one structural unit in the repeat unit", "there may be more than one structural unit in the repeat unit", "there may be more than one structural unit in t...
there may be more than one structural unit in the repeat unit
there may be more than one structural unit in the repeat unit.
there may be more than one structural unit in the repeat unit. there may be more than one structural unit in the repeat unit. there may be more than one structural unit in the repeat unit. there may be more than one structural unit in the repeat unit.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there may be more than one structural unit in the repeat unit', 'there may be more than one structural unit in the repeat unit', 'there may be more than one structural unit in the repeat unit', 'there may be m...
[ "it includes ten large fields a children is play area and a skateboard park", "it includes ten large fields a children is play area and a skateboard park", "it includes ten large fields a children is play area and the skateboard park", "it includes ten large fields a children is play area and the skateboard p...
it includes three large fields a children is play area and a skateboard park
it includes ten large fields a children is play area and a skateboard park.
it includes ten large fields a children is play area and a skateboard park. it includes ten large fields a children is play area and the skateboard park. it includes ten large fields a children is play area and the skateboard park. it includes ten large fields a children is play area and a skateboard park.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it includes ten large fields a children is play area and a skateboard park', 'it includes ten large fields a children is play area and a skateboard park', 'it includes ten large fields a children is play area ...
[ "a basketball player is jumping and holding a basketball over the net", "a basketball player is jumping and holding a basketball over the net", "a basketball player is jumping and holding a basketball over the net", "a basketball player is jumping and holding a basketball over the net", "a basketball player...
a basketball player is jumping and holding a basketball over the net
a basketball player is jumping and holding a basketball over the net.
a basketball player is jumping and holding a basketball over the net. a basketball player is jumping and holding a basketball over the net. a basketball player is jumping and holding a basketball over the net. a basketball player is jumping and holding a basketball over the net.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a basketball player is jumping and holding a basketball over the net', 'a basketball player is jumping and holding a basketball over the net', 'a basketball player is jumping and holding a basketball over the ...
[ "history being dust appears in the collection the book of fantasy", "history being dust appears in the collection the book of fantasy", "history being dust appears in the collection the book of fantasy", "his story being dust appears in the collection the book of fantasy", "history being dust appears in the...
his story being dust appears in the collection the book of fantasy
history being dust appears in the collection the book of fantasy.
history being dust appears in the collection the book of fantasy. history being dust appears in the collection the book of fantasy. his story being dust appears in the collection the book of fantasy. history being dust appears in the collection the book of fantasy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['history being dust appears in the collection the book of fantasy', 'history being dust appears in the collection the book of fantasy', 'history being dust appears in the collection the book of fantasy', 'his s...
[ "hanoverton also played its part in the underground railroad", "hanoverton also played its part in the underground railroad", "hanoverton also played its part in the underground rail road", "hanoverton also played its part in the underground railroad", "hanoverton also played its part in the underground rai...
hanoverton also played its part in the underground railroad
hanoverton also played its part in the underground railroad.
hanoverton also played its part in the underground railroad. hanoverton also played its part in the underground rail road. hanoverton also played its part in the underground railroad. hanoverton also played its part in the underground railroad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hanoverton also played its part in the underground railroad', 'hanoverton also played its part in the underground railroad', 'hanoverton also played its part in the underground rail road', 'hanoverton also pla...
[ "their court has had various problems with delays recently", "the airport has had various problems with delays recently", "their code has had various problems with delays recently", "their court has had various problems with delays recently", "their port has had various problems with delays recently" ]
the airport has had various problems with delays recently
their court has had various problems with delays recently.
the airport has had various problems with delays recently. their code has had various problems with delays recently. their court has had various problems with delays recently. their port has had various problems with delays recently.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their court has had various problems with delays recently', 'the airport has had various problems with delays recently', 'their code has had various problems with delays recently', 'their court has had various...
[ "the doctor sets out to find ace and eventually finds her and bev", "the doctor sits out to find ace and eventually finds her and bev", "the doctor sits out to find ace and eventually finds her and beav", "the doctor sits out to find ace and eventually finds her and be of .", "the doctor sits out to find ac...
the doctor sets out to find ace and eventually finds her and bev
the doctor sets out to find ace and eventually finds her and bev.
the doctor sits out to find ace and eventually finds her and bev. the doctor sits out to find ace and eventually finds her and beav. the doctor sits out to find ace and eventually finds her and be of .. the doctor sits out to find ace and eventually finds her and beve.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the doctor sets out to find ace and eventually finds her and bev', 'the doctor sits out to find ace and eventually finds her and bev', 'the doctor sits out to find ace and eventually finds her and beav', 'the ...
[ "their familial coat of arms was later adopted by the village", "the familial coat of arms was later adopted by the village", "the familial coat of arms was later adopted by the village", "their familial coat of arms was later adopted by the village", "their familial coat of arms was later adopted by the vi...
their familial coat of arms was later adopted by the village
their familial coat of arms was later adopted by the village.
the familial coat of arms was later adopted by the village. the familial coat of arms was later adopted by the village. their familial coat of arms was later adopted by the village. their familial coat of arms was later adopted by the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their familial coat of arms was later adopted by the village', 'the familial coat of arms was later adopted by the village', 'the familial coat of arms was later adopted by the village', 'their familial coat o...
[ "the same practice was followed by videos who remarried", "the same practice was followed by videos who remarried", "the same practice was followed by widows who remarried", "the same practice was followed by videos who remarried", "the same practice was followed by videos who remarried" ]
the same practice was followed by widows who remarried
the same practice was followed by videos who remarried.
the same practice was followed by videos who remarried. the same practice was followed by widows who remarried. the same practice was followed by videos who remarried. the same practice was followed by videos who remarried.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the same practice was followed by videos who remarried', 'the same practice was followed by videos who remarried', 'the same practice was followed by widows who remarried', 'the same practice was followed by v...
[ "the first alfie model had a flat twin engine", "the first alfie model had a flat twin engine", "the onest alfie model had a flat twin engine", "the first alfie model had a flat twin engine", "the first alfie model had a flat twin engine" ]
the first alfi model had a flat twin engine
the first alfie model had a flat twin engine.
the first alfie model had a flat twin engine. the onest alfie model had a flat twin engine. the first alfie model had a flat twin engine. the first alfie model had a flat twin engine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first alfie model had a flat twin engine', 'the first alfie model had a flat twin engine', 'the onest alfie model had a flat twin engine', 'the first alfie model had a flat twin engine', 'the first alfie m...
[ "the officers for both are at cantina boggo", "the offices for both are at cantina boggo", "the officers for both are at cantina bogo", "the officers for both are at kentina boggo", "the offices for both are at cantina bogo" ]
the offices for both are at catania borgo
the officers for both are at cantina boggo.
the offices for both are at cantina boggo. the officers for both are at cantina bogo. the officers for both are at kentina boggo. the offices for both are at cantina bogo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the officers for both are at cantina boggo', 'the offices for both are at cantina boggo', 'the officers for both are at cantina bogo', 'the officers for both are at kentina boggo', 'the offices for both are at...
[ "bacteria are grown under favorable conditions", "bacteria are grown on the favorable conditions", "bacteria are grown under favorable conditions", "bacteria are grown on the favorable conditions", "bacteria are grown on the favorable conditions" ]
bacteria are grown under favorable conditions
bacteria are grown under favorable conditions.
bacteria are grown on the favorable conditions. bacteria are grown under favorable conditions. bacteria are grown on the favorable conditions. bacteria are grown on the favorable conditions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bacteria are grown under favorable conditions', 'bacteria are grown on the favorable conditions', 'bacteria are grown under favorable conditions', 'bacteria are grown on the favorable conditions', 'bacteria ar...
[ "he plunked his stock into a charitable foundation", "he plunked his stalk into a charitable foundation", "he planked his stock into a charitable foundation", "he plunked his stock into a charitable foundation", "he plunged his stock into a charitable foundation" ]
he plunked his stock into a charitable foundation
he plunked his stock into a charitable foundation.
he plunked his stalk into a charitable foundation. he planked his stock into a charitable foundation. he plunked his stock into a charitable foundation. he plunged his stock into a charitable foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he plunked his stock into a charitable foundation', 'he plunked his stalk into a charitable foundation', 'he planked his stock into a charitable foundation', 'he plunked his stock into a charitable foundation'...
[ "the greater reactivity of chloride is typical but chlorides are connectically poor oxidants", "the greater rectility of chloride is typical but chlorides are connectically poor oxidants", "the greater activity of chloride is typical but chlorides are connectically poor oxidants", "the greater rectility of ch...
the greater reactivity of chlorate is typical perchlorates are kinetically poorer oxidants
the greater reactivity of chloride is typical but chlorides are connectically poor oxidants.
the greater rectility of chloride is typical but chlorides are connectically poor oxidants. the greater activity of chloride is typical but chlorides are connectically poor oxidants. the greater rectility of chloride is typical which chlorides a connectically poor oxidant. the greater reactivity of chloride is typical ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the greater reactivity of chloride is typical but chlorides are connectically poor oxidants', 'the greater rectility of chloride is typical but chlorides are connectically poor oxidants', 'the greater activity...
[ "kalanuk was born and raised in agnesville and has a degree from brandon university", "kalanuk was born and raised in agnesville and has a degree from brandon university", "kalalok was born and raised in agnesville and has a degree from brandon university", "kalanuk was born and raised in agnesville and has a...
kalynuk was born and raised in angusville and has a degree from brandon university
kalanuk was born and raised in agnesville and has a degree from brandon university.
kalanuk was born and raised in agnesville and has a degree from brandon university. kalalok was born and raised in agnesville and has a degree from brandon university. kalanuk was born and raised in agnesville and has a decree from brandon university. kalanok was born and raised in agnesville and has a degree from bran...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kalanuk was born and raised in agnesville and has a degree from brandon university', 'kalanuk was born and raised in agnesville and has a degree from brandon university', 'kalalok was born and raised in agnesv...
[ "the nearest town snoqualmie washington is located about to the northwest", "the nearest town snow quality washington is located about to the northwest", "the nearest town snow quarney washington is located about to the northwest", "the nearest town snow corny washington is located about to the northwest", ...
the nearest town snoqualmie washington is located about to the northwest
the nearest town snoqualmie washington is located about to the northwest.
the nearest town snow quality washington is located about to the northwest. the nearest town snow quarney washington is located about to the northwest. the nearest town snow corny washington is located about to the northwest. the nearest town snorqually washington is located about to the northwest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the nearest town snoqualmie washington is located about to the northwest', 'the nearest town snow quality washington is located about to the northwest', 'the nearest town snow quarney washington is located abo...
[ "the gravel was never a success and was discontinued", "the gravel was never a success and was discontinued", "the grapple was never a success and was discontinued", "the gravel was never a success and it was discontinued", "the grabba was never a success and was discontinued" ]
the gravel was never a success and was discontinued
the gravel was never a success and was discontinued.
the gravel was never a success and was discontinued. the grapple was never a success and was discontinued. the gravel was never a success and it was discontinued. the grabba was never a success and was discontinued.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the gravel was never a success and was discontinued', 'the gravel was never a success and was discontinued', 'the grapple was never a success and was discontinued', 'the gravel was never a success and it was d...
[ "the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively", "the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively", "the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively", "the votes are repr...
the wards are represented by deborah mell carlos ramirez rosa and margaret laurino respectively
the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively.
the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively. the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively. the votes are represented by deborah mell carlos ramirez rosa and margaret lorino respectively. the votes are represented by debor...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively', 'the votes are represented by deborah mel carlos ramirez rosa and margaret lorino respectively', 'the votes are r...
[ "sack wind bats feed mainly on insects and occasionally on fruit", "sack winged bats feed mainly on insects and occasionally on fruit", "sac winged bats feed mainly on insects and occasionally on fruit", "sack winged bats feed mainly on insects and occasionally on fruit", "sac winged bats feed mainly on ins...
sac winged bats feed mainly on insects and occasionally on fruit
sack wind bats feed mainly on insects and occasionally on fruit.
sack winged bats feed mainly on insects and occasionally on fruit. sac winged bats feed mainly on insects and occasionally on fruit. sack winged bats feed mainly on insects and occasionally on fruit. sac winged bats feed mainly on insects and occasionally on fruit.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sack wind bats feed mainly on insects and occasionally on fruit', 'sack winged bats feed mainly on insects and occasionally on fruit', 'sac winged bats feed mainly on insects and occasionally on fruit', 'sack ...
[ "in your five they start studying english", "in your five they start studying english", "in year five they start studying english", "in year five they start studying english", "in your five they start studying english" ]
in year five they start studying english
in your five they start studying english.
in your five they start studying english. in year five they start studying english. in year five they start studying english. in your five they start studying english.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in your five they start studying english', 'in your five they start studying english', 'in year five they start studying english', 'in year five they start studying english', 'in your five they start studying ...
[ "so sindka was known as one of the largest professional cyclists competing in europe", "so sindhka was known as one of the largest professional cyclists competing in europe", "so sindha was known as one of the largest professional cyclists competing in europe", "so senka was known as one of the largest profes...
sosenka was known as one of the largest professional cyclists competing in europe
so sindka was known as one of the largest professional cyclists competing in europe.
so sindhka was known as one of the largest professional cyclists competing in europe. so sindha was known as one of the largest professional cyclists competing in europe. so senka was known as one of the largest professional cyclists competing in europe. so sin was known as one of the largest professional cyclists comp...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so sindka was known as one of the largest professional cyclists competing in europe', 'so sindhka was known as one of the largest professional cyclists competing in europe', 'so sindha was known as one of the ...
[ "his other brother vises bala has also run for the residency", "his other brother vises bala has also run for the presidency", "his other brother vises bala has also run for the presidency", "his other brother veeces bala has also run for the residency", "his other brother vises bala has also run for the re...
his other brother ulises humala has also run for the presidency
his other brother vises bala has also run for the residency.
his other brother vises bala has also run for the presidency. his other brother vises bala has also run for the presidency. his other brother veeces bala has also run for the residency. his other brother vises bala has also run for the residency.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his other brother vises bala has also run for the residency', 'his other brother vises bala has also run for the presidency', 'his other brother vises bala has also run for the presidency', 'his other brother ...
[ "he had excellent skills in understanding sandstone and limestone", "he had excellent skills in understanding sandstone and limestone", "he had excellent skills in understanding sandstone and limestone", "he had excellent skills in understanding sandstone and limestone", "he had excellent skills in understa...
he had excellent skills in understanding sandstone and limestone
he had excellent skills in understanding sandstone and limestone.
he had excellent skills in understanding sandstone and limestone. he had excellent skills in understanding sandstone and limestone. he had excellent skills in understanding sandstone and limestone. he had excellent skills in understanding sandstone and limestone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had excellent skills in understanding sandstone and limestone', 'he had excellent skills in understanding sandstone and limestone', 'he had excellent skills in understanding sandstone and limestone', 'he ha...
[ "here is an ink stand here are paints and paper", "here is an ink stand here are paints and paper", "here is an inxtend here are paints and paper", "here is an inkstand here are paints and paper", "here is an ink stand here are paints and paper" ]
here is an inkstand here are pens and paper
here is an ink stand here are paints and paper.
here is an ink stand here are paints and paper. here is an inxtend here are paints and paper. here is an inkstand here are paints and paper. here is an ink stand here are paints and paper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here is an ink stand here are paints and paper', 'here is an ink stand here are paints and paper', 'here is an inxtend here are paints and paper', 'here is an inkstand here are paints and paper', 'here is an i...
[ "fincastle is part of the roanoke metropolitan statistical area", "fin castle is part of the rowan noke metropolitan is statistical area", "fin castle is part of the roanoke metropolitan statistical area", "fin castle is part of the rowan noke metropolitan is testicle area", "fin castle is part of the rowan...
fincastle is part of the roanoke metropolitan statistical area
fincastle is part of the roanoke metropolitan statistical area.
fin castle is part of the rowan noke metropolitan is statistical area. fin castle is part of the roanoke metropolitan statistical area. fin castle is part of the rowan noke metropolitan is testicle area. fin castle is part of the rowan noke metropolitan statistical area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fincastle is part of the roanoke metropolitan statistical area', 'fin castle is part of the rowan noke metropolitan is statistical area', 'fin castle is part of the roanoke metropolitan statistical area', 'fin...
[ "he was incarcerated at a minimum security california men is colony san luis obispo", "he was incarcerated at the minimum security california men is colony san luis obispo", "he was incarcerated at the minimum security california men is colony san luis obispo", "he was incarcerated at the minimum security cal...
he was incarcerated at the minimum security california men is colony san luis obispo
he was incarcerated at a minimum security california men is colony san luis obispo.
he was incarcerated at the minimum security california men is colony san luis obispo. he was incarcerated at the minimum security california men is colony san luis obispo. he was incarcerated at the minimum security california man is colony san luis obispo. he was incarcerated at a minimum security california man is co...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was incarcerated at a minimum security california men is colony san luis obispo', 'he was incarcerated at the minimum security california men is colony san luis obispo', 'he was incarcerated at the minimum ...
[ "downshifting is not an isolated or unusual choice", "downshifting is not an isolated or unusual choice", "down shifting is not an isolated or unusual choice", "down shifting is not an isolated or unusual choice", "downshifting is not an isolated or unusual choice" ]
downshifting is not an isolated or unusual choice
downshifting is not an isolated or unusual choice.
downshifting is not an isolated or unusual choice. down shifting is not an isolated or unusual choice. down shifting is not an isolated or unusual choice. downshifting is not an isolated or unusual choice.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['downshifting is not an isolated or unusual choice', 'downshifting is not an isolated or unusual choice', 'down shifting is not an isolated or unusual choice', 'down shifting is not an isolated or unusual choic...
[ "this is the mayor", "this is the mayor", "this is somewhere", "this is samaer", "this is the mayor" ]
this is the mayor
this is the mayor.
this is the mayor. this is somewhere. this is samaer. this is the mayor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is the mayor', 'this is the mayor', 'this is somewhere', 'this is samaer', 'this is the mayor']
[ "it was released as the b side of that single from here to eternity", "it was released as the b side of the single from here to eternity", "it was released as the b side of that single from here to eternity", "it was released as the b side of their single from here to eternity", "it was released as the b si...
it was released as the b side of their single from here to eternity
it was released as the b side of that single from here to eternity.
it was released as the b side of the single from here to eternity. it was released as the b side of that single from here to eternity. it was released as the b side of their single from here to eternity. it was released as the b side of that single from here to eternity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was released as the b side of that single from here to eternity', 'it was released as the b side of the single from here to eternity', 'it was released as the b side of that single from here to eternity', '...
[ "i did not need to prove that to myself", "i did not need to prove that to myself", "i did not need to prove that to myself", "i did not need to prove that to myself", "i did not need to prove that to myself" ]
i did not need to prove that to myself
i did not need to prove that to myself.
i did not need to prove that to myself. i did not need to prove that to myself. i did not need to prove that to myself. i did not need to prove that to myself.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i did not need to prove that to myself', 'i did not need to prove that to myself', 'i did not need to prove that to myself', 'i did not need to prove that to myself', 'i did not need to prove that to myself']
[ "at night the remaining tea would be poured away", "at night the remaining tea would be poured away", "at night the remaining tea would be poured away", "at night the remaining tea would be poured away", "at night the remaining tea would be poured away" ]
at night the remaining tea would be poured away
at night the remaining tea would be poured away.
at night the remaining tea would be poured away. at night the remaining tea would be poured away. at night the remaining tea would be poured away. at night the remaining tea would be poured away.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at night the remaining tea would be poured away', 'at night the remaining tea would be poured away', 'at night the remaining tea would be poured away', 'at night the remaining tea would be poured away', 'at ni...
[ "do not mind lies within two counties", "do not much lies within two counties", "talmud lies within two counties", "do not want lies within two counties", "dortmund lies within two counties" ]
tallmadge lies within two counties
do not mind lies within two counties.
do not much lies within two counties. talmud lies within two counties. do not want lies within two counties. dortmund lies within two counties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do not mind lies within two counties', 'do not much lies within two counties', 'talmud lies within two counties', 'do not want lies within two counties', 'dortmund lies within two counties']
[ "skyline drive connects ringwood and oakland through ringwood state park", "skyline drive connects ringwood and oakland through ringwood state park", "skyline drive connects ringwood and oakland through ringwood state park", "skyline drive connects ringwood and oakland through ringwood state park", "skyline...
skyline drive connects ringwood and oakland through ringwood state park
skyline drive connects ringwood and oakland through ringwood state park.
skyline drive connects ringwood and oakland through ringwood state park. skyline drive connects ringwood and oakland through ringwood state park. skyline drive connects ringwood and oakland through ringwood state park. skyline drive connects ringwood and oakland through ringwood state park.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['skyline drive connects ringwood and oakland through ringwood state park', 'skyline drive connects ringwood and oakland through ringwood state park', 'skyline drive connects ringwood and oakland through ringwoo...
[ "this is one of the peculiarities in this month to speculate in stocks", "this is along the peculiarity of dangerous months to speculate in stocks", "this is along the peculiarity of this month to speculate in stocks", "this is one of the peculiarities of this month to speculate in stocks", "this is along t...
this is one of the peculiarly dangerous months to speculate in stocks
this is one of the peculiarities in this month to speculate in stocks.
this is along the peculiarity of dangerous months to speculate in stocks. this is along the peculiarity of this month to speculate in stocks. this is one of the peculiarities of this month to speculate in stocks. this is along the peculiarity of indigenous months to speculate in stocks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is one of the peculiarities in this month to speculate in stocks', 'this is along the peculiarity of dangerous months to speculate in stocks', 'this is along the peculiarity of this month to speculate in ...
[ "he attended primary and secondary schools in ensunada by california and hermosillo sonora", "he attended primary and secondary schools in ensignada baya california and hermesillo sonora", "he attended primary and secondary schools in ensignada bayer california and hermesillo sonora", "he attended primary and...
he attended primary and secondary schools in ensenada baja california and hermosillo sonora
he attended primary and secondary schools in ensunada by california and hermosillo sonora.
he attended primary and secondary schools in ensignada baya california and hermesillo sonora. he attended primary and secondary schools in ensignada bayer california and hermesillo sonora. he attended primary and secondary schools in ensenada by california and hermosillo sonora. he attended primary and secondary school...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he attended primary and secondary schools in ensunada by california and hermosillo sonora', 'he attended primary and secondary schools in ensignada baya california and hermesillo sonora', 'he attended primary ...
[ "we wanted to raise our children there", "we wanted to raise our children there", "we wanted to raise our children there", "we wanted to raise our children there", "our children there" ]
we wanted to raise our children there
we wanted to raise our children there.
we wanted to raise our children there. we wanted to raise our children there. we wanted to raise our children there. our children there.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we wanted to raise our children there', 'we wanted to raise our children there', 'we wanted to raise our children there', 'we wanted to raise our children there', 'our children there']
[ "these are mid sized woodpeckers", "these are mid sized woodpeckers", "these are midsized woodpeckers", "these are mid sized woodpeckers", "these are mid sized woodpeckers" ]
these are mid sized woodpeckers
these are mid sized woodpeckers.
these are mid sized woodpeckers. these are midsized woodpeckers. these are mid sized woodpeckers. these are mid sized woodpeckers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these are mid sized woodpeckers', 'these are mid sized woodpeckers', 'these are midsized woodpeckers', 'these are mid sized woodpeckers', 'these are mid sized woodpeckers']
[ "the second match was against italy which ended in a scoreless draw", "the second match was against italy which ended in a scoreless draw", "the second match was against italy which ended in a scoreless draw", "the second match was against italy which ended in a scoreless draw", "the second match was agains...
the second match was against italy which ended in a scoreless draw
the second match was against italy which ended in a scoreless draw.
the second match was against italy which ended in a scoreless draw. the second match was against italy which ended in a scoreless draw. the second match was against italy which ended in a scoreless draw. the second match was against italy which ended in a scoreless draw.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the second match was against italy which ended in a scoreless draw', 'the second match was against italy which ended in a scoreless draw', 'the second match was against italy which ended in a scoreless draw', ...
[ "mancini stated pre season that manchester city is long term aim was to win the champions league", "mancini stated preseason that manchester city is long term aim was to win the champions league", "mancini stated pre season that manchester city is long term aim was to win the champions league", "mancini state...
mancini stated pre season that manchester city is long term aim was to win the champions league
mancini stated pre season that manchester city is long term aim was to win the champions league.
mancini stated preseason that manchester city is long term aim was to win the champions league. mancini stated pre season that manchester city is long term aim was to win the champions league. mancini stated pre season that manchester city is long term aim was to win the champion two league. mancini is data pre season ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mancini stated pre season that manchester city is long term aim was to win the champions league', 'mancini stated preseason that manchester city is long term aim was to win the champions league', 'mancini stat...
[ "based on public domain information published by the united states navy office of information", "based on public domain information published by the united states navy office of information", "based on public domain information published by the united states navy office of information", "based on public domai...
based on public domain information published by the united states navy office of information
based on public domain information published by the united states navy office of information.
based on public domain information published by the united states navy office of information. based on public domain information published by the united states navy office of information. based on public domain information published by the united states navy office of information. based on public domain information pub...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['based on public domain information published by the united states navy office of information', 'based on public domain information published by the united states navy office of information', 'based on public d...
[ "after recovering he produced many woodcuts", "after recovering he purchased many woodcuts", "after recovering he produced many woodcuts", "after recovering he purchased many woodcuts", "after recovering he produced many woodcups" ]
after recovering he produced many woodcuts
after recovering he produced many woodcuts.
after recovering he purchased many woodcuts. after recovering he produced many woodcuts. after recovering he purchased many woodcuts. after recovering he produced many woodcups.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after recovering he produced many woodcuts', 'after recovering he purchased many woodcuts', 'after recovering he produced many woodcuts', 'after recovering he purchased many woodcuts', 'after recovering he pro...
[ "it is hosted by the hong kong jockey club", "it is hosted by the hong kong jocky club", "it is hosted by the hong kong jockey club", "it is hosted by the hong kong jokie club", "it is hosted by the hong kong chucky club" ]
it is hosted by the hong kong jockey club
it is hosted by the hong kong jockey club.
it is hosted by the hong kong jocky club. it is hosted by the hong kong jockey club. it is hosted by the hong kong jokie club. it is hosted by the hong kong chucky club.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is hosted by the hong kong jockey club', 'it is hosted by the hong kong jocky club', 'it is hosted by the hong kong jockey club', 'it is hosted by the hong kong jokie club', 'it is hosted by the hong kong c...
[ "the flashing swords", "the flashing sores", "the flashing solids", "flashing swords", "the flashing soles" ]
the flashing swords
the flashing swords.
the flashing sores. the flashing solids. flashing swords. the flashing soles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the flashing swords', 'the flashing sores', 'the flashing solids', 'flashing swords', 'the flashing soles']
[ "another type flintless stoneware has also been identified", "another type flintless stoneware has also been identified", "another type flintless stoneware has also been identified", "another type flintless stoneware has also been identified", "another type flintless stoneware has also been identified" ]
another type flintless stoneware has also been identified
another type flintless stoneware has also been identified.
another type flintless stoneware has also been identified. another type flintless stoneware has also been identified. another type flintless stoneware has also been identified. another type flintless stoneware has also been identified.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another type flintless stoneware has also been identified', 'another type flintless stoneware has also been identified', 'another type flintless stoneware has also been identified', 'another type flintless sto...
[ "eventually he returned to zimbabwe to rejoin at this site", "eventually he returns on zimbabwe to rejoin at this site", "eventually he returned on zimbabwe to rejoin at this site", "eventually he returned to zimbabwe to rejoin at this site", "eventually he returned on zimbabwe to region on the this side" ]
eventually he returned to zimbabwe to re join the test side
eventually he returned to zimbabwe to rejoin at this site.
eventually he returns on zimbabwe to rejoin at this site. eventually he returned on zimbabwe to rejoin at this site. eventually he returned to zimbabwe to rejoin at this site. eventually he returned on zimbabwe to region on the this side.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eventually he returned to zimbabwe to rejoin at this site', 'eventually he returns on zimbabwe to rejoin at this site', 'eventually he returned on zimbabwe to rejoin at this site', 'eventually he returned to z...
[ "its county is seat is hoxie", "its county seat is hoxie", "its county is seat is huxie", "its county is seat is hoxy", "it is county is seat is hoxie" ]
its county seat is hoxie
its county is seat is hoxie.
its county seat is hoxie. its county is seat is huxie. its county is seat is hoxy. it is county is seat is hoxie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its county is seat is hoxie', 'its county seat is hoxie', 'its county is seat is huxie', 'its county is seat is hoxy', 'it is county is seat is hoxie']
[ "the event is a travesty", "the event is a travesty", "the event is a travesty", "the event is a travesty", "the event is a privacy" ]
the event is a travesty
the event is a travesty.
the event is a travesty. the event is a travesty. the event is a travesty. the event is a privacy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the event is a travesty', 'the event is a travesty', 'the event is a travesty', 'the event is a travesty', 'the event is a privacy']
[ "it is hosted by massage rock", "it is hosted by massaged rock", "it is hosted by marciage rock", "it is hosted by mashiage rock", "it is hosted by mashiach rock" ]
it is hosted by maciej rock
it is hosted by massage rock.
it is hosted by massaged rock. it is hosted by marciage rock. it is hosted by mashiage rock. it is hosted by mashiach rock.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is hosted by massage rock', 'it is hosted by massaged rock', 'it is hosted by marciage rock', 'it is hosted by mashiage rock', 'it is hosted by mashiach rock']
[ "amputation must be urgently performed to avoid sin death", "amputation must be urgently performed to avoid sudden death", "amputation must be urgently performed to avoid some death", "amputation must be urgently performed to avoid send death", "imputation must be urgently performed to avoid sin death" ]
amputation must be urgently performed to avoid certain death
amputation must be urgently performed to avoid sin death.
amputation must be urgently performed to avoid sudden death. amputation must be urgently performed to avoid some death. amputation must be urgently performed to avoid send death. imputation must be urgently performed to avoid sin death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['amputation must be urgently performed to avoid sin death', 'amputation must be urgently performed to avoid sudden death', 'amputation must be urgently performed to avoid some death', 'amputation must be urgent...
[ "nia philadelphia is a suburb of athens north of the city center", "nia philadelphia is a suburb of athens north of the city center", "nia philadelphia is a suburb of athens north of the city center", "nia philadelphia is a suburb of athens north of the city center", "nia philadelphia is a suburb of athens ...
nea filadelfeia is a suburb of athens north of the city center
nia philadelphia is a suburb of athens north of the city center.
nia philadelphia is a suburb of athens north of the city center. nia philadelphia is a suburb of athens north of the city center. nia philadelphia is a suburb of athens north of the city center. nia philadelphia is a suburb of athens north of the city center.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nia philadelphia is a suburb of athens north of the city center', 'nia philadelphia is a suburb of athens north of the city center', 'nia philadelphia is a suburb of athens north of the city center', 'nia phil...
[ "many parts of the city are hilly", "many parts of the city are hilly", "many parts of the city are hilly", "many parts of the city are hilly", "many parts of the city are hilly" ]
many parts of the city are hilly
many parts of the city are hilly.
many parts of the city are hilly. many parts of the city are hilly. many parts of the city are hilly. many parts of the city are hilly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many parts of the city are hilly', 'many parts of the city are hilly', 'many parts of the city are hilly', 'many parts of the city are hilly', 'many parts of the city are hilly']
[ "a modern television set sharpness control is an example of edge enhancement", "a modern television sets sharpness control is an example of edge enhancement", "a modern television set sharpness control is an example of edge enhancement", "a modern television set is sharpness control is an example of edge enha...
a modern television set is sharpness control is an example of edge enhancement
a modern television set sharpness control is an example of edge enhancement.
a modern television sets sharpness control is an example of edge enhancement. a modern television set sharpness control is an example of edge enhancement. a modern television set is sharpness control is an example of edge enhancement. a modern television sets sharpness control is an example of edge enhancement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a modern television set sharpness control is an example of edge enhancement', 'a modern television sets sharpness control is an example of edge enhancement', 'a modern television set sharpness control is an ex...
[ "he has also performed and recorded with the call back off to you", "he has also performed and recorded with a call back off to you", "he has also performed and recorded with the call back off tree", "he has also performed and recorded with the call back off true", "he has also performed and recorded with t...
he has also performed and recorded with the kolpakov trio
he has also performed and recorded with the call back off to you.
he has also performed and recorded with a call back off to you. he has also performed and recorded with the call back off tree. he has also performed and recorded with the call back off true. he has also performed and recorded with the call back off too.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he has also performed and recorded with the call back off to you', 'he has also performed and recorded with a call back off to you', 'he has also performed and recorded with the call back off tree', 'he has al...
[ "he married leslie now", "he married leslina", "he married lessilina", "he married leselina", "he married leselyna" ]
he married lescelina
he married leslie now.
he married leslina. he married lessilina. he married leselina. he married leselyna.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he married leslie now', 'he married leslina', 'he married lessilina', 'he married leselina', 'he married leselyna']
[ "in most cases helical antennas are mounted over a ground plane", "in most cases helical antennas are mounted over a ground plane", "in most cases helical antennas are mounted over a ground plane", "in most cases helical antennas are mounted over a ground plane", "in most cases helical antennas are mounted ...
in most cases helical antennas are mounted over a ground plane
in most cases helical antennas are mounted over a ground plane.
in most cases helical antennas are mounted over a ground plane. in most cases helical antennas are mounted over a ground plane. in most cases helical antennas are mounted over a ground plane. in most cases helical antennas are mounted over a ground plane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in most cases helical antennas are mounted over a ground plane', 'in most cases helical antennas are mounted over a ground plane', 'in most cases helical antennas are mounted over a ground plane', 'in most cas...
[ "in both species the back is elevated into a hump shape", "in both pages the back is elevated into a hump shape", "in both species the back is elevated into a hump shape", "in both pages the back is elevated into a hump shape", "in both species the back is elevated into a hump shape" ]
in both species the back is elevated into a hump shape
in both species the back is elevated into a hump shape.
in both pages the back is elevated into a hump shape. in both species the back is elevated into a hump shape. in both pages the back is elevated into a hump shape. in both species the back is elevated into a hump shape.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in both species the back is elevated into a hump shape', 'in both pages the back is elevated into a hump shape', 'in both species the back is elevated into a hump shape', 'in both pages the back is elevated in...
[ "the verdict was rendered by chief justice sardar muhammad asnard", "the verdict was rendered by chief justice sardar mohammed asnard", "the verdict was rendered by chief justice sardar muhammad asnar", "the verdict was rendered by chief justice sardar mohamed asnar", "the verdict was rendered by chief just...
the verdict was rendered by chief justice sardar muhammad aslam
the verdict was rendered by chief justice sardar muhammad asnard.
the verdict was rendered by chief justice sardar mohammed asnard. the verdict was rendered by chief justice sardar muhammad asnar. the verdict was rendered by chief justice sardar mohamed asnar. the verdict was rendered by chief justice sardar mohamed asner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the verdict was rendered by chief justice sardar muhammad asnard', 'the verdict was rendered by chief justice sardar mohammed asnard', 'the verdict was rendered by chief justice sardar muhammad asnar', 'the ve...
[ "his resolution is to matter as to any of which he proceeds to do", "his resolution is to my last journey which he proceeds to do", "his resolution is to matter as to any which he proceeds to do", "his resolution is to my last journey which he proceeds to do", "his resolution is to matter as to any which he...
his resolution is to murder sterni which he proceeds to do
his resolution is to matter as to any of which he proceeds to do.
his resolution is to my last journey which he proceeds to do. his resolution is to matter as to any which he proceeds to do. his resolution is to my last journey which he proceeds to do. his resolution is to matter as to any which he proceeds to do.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his resolution is to matter as to any of which he proceeds to do', 'his resolution is to my last journey which he proceeds to do', 'his resolution is to matter as to any which he proceeds to do', 'his resoluti...
[ "to the north in the venengo country are clinton and the scrub grouse townships", "to the north in the venengo country are clinton and the scrap grouse townships", "to the north in the venongo country are clinton and the scrub grouse townships", "to the north in the venengo country are clinton and the scrap g...
to the north in venango county are clinton and scrubgrass townships
to the north in the venengo country are clinton and the scrub grouse townships.
to the north in the venengo country are clinton and the scrap grouse townships. to the north in the venongo country are clinton and the scrub grouse townships. to the north in the venengo country are clinton and the scrap grows townships. to the north in the venongo country are clinton and the scrap grouse townships.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to the north in the venengo country are clinton and the scrub grouse townships', 'to the north in the venengo country are clinton and the scrap grouse townships', 'to the north in the venongo country are clint...
[ "a group of people sit outdoors together at night", "a group of people sit at doors together at night", "a group of people sit out doors together at night", "a group of people sit outdoors together at night", "a group of people sit out doors together at night" ]
a group of people sit outdoors together at night
a group of people sit outdoors together at night.
a group of people sit at doors together at night. a group of people sit out doors together at night. a group of people sit outdoors together at night. a group of people sit out doors together at night.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a group of people sit outdoors together at night', 'a group of people sit at doors together at night', 'a group of people sit out doors together at night', 'a group of people sit outdoors together at night', '...
[ "life rafts were lowered and rescue efforts by surrounding ships commenced", "life rafts were lowered and rescue efforts by surrounding ships commenced", "live rafts were lowered and rescue efforts by surrounding ships commenced", "life rafts were lowered and rescue efforts by surrounding ships commenced", ...
life rafts were lowered and rescue efforts by surrounding ships commenced
life rafts were lowered and rescue efforts by surrounding ships commenced.
life rafts were lowered and rescue efforts by surrounding ships commenced. live rafts were lowered and rescue efforts by surrounding ships commenced. life rafts were lowered and rescue efforts by surrounding ships commenced. life rafts were lowered and rescue efforts by surrounding ships commenced.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['life rafts were lowered and rescue efforts by surrounding ships commenced', 'life rafts were lowered and rescue efforts by surrounding ships commenced', 'live rafts were lowered and rescue efforts by surroundi...
[ "another early variant of name was clayroot", "another early variant of name was clayroot", "another early variant of name was clayroot", "another early variant of name was clay root", "another early variant of name was clareute" ]
another early variant name was clayroot
another early variant of name was clayroot.
another early variant of name was clayroot. another early variant of name was clayroot. another early variant of name was clay root. another early variant of name was clareute.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another early variant of name was clayroot', 'another early variant of name was clayroot', 'another early variant of name was clayroot', 'another early variant of name was clay root', 'another early variant of...
[ "by this method some human right can be considered islamic", "by this method some human rights can be considered islamic", "by this method some human right can be considered islamic", "by this method some human right can be considered as linux", "by this method some human rite can be considered islamic" ]
by this method some human rights can be considered islamic
by this method some human right can be considered islamic.
by this method some human rights can be considered islamic. by this method some human right can be considered islamic. by this method some human right can be considered as linux. by this method some human rite can be considered islamic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by this method some human right can be considered islamic', 'by this method some human rights can be considered islamic', 'by this method some human right can be considered islamic', 'by this method some human...
[ "bunchering is often used with white to brie algorithm in coding systems", "bunchering is often used with white debris algorithm in coding systems", "bunchering is often used with white and brie algorithm in coding systems", "puncturing is often used with white to brie algorithm in coding systems", "punctur...
puncturing is often used with the viterbi algorithm in coding systems
bunchering is often used with white to brie algorithm in coding systems.
bunchering is often used with white debris algorithm in coding systems. bunchering is often used with white and brie algorithm in coding systems. puncturing is often used with white to brie algorithm in coding systems. puncturing is often used with white debris algorithm in coding systems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bunchering is often used with white to brie algorithm in coding systems', 'bunchering is often used with white debris algorithm in coding systems', 'bunchering is often used with white and brie algorithm in co...
[ "he is the eightth youngest living medal of honor recipient", "he is the eightth youngest living medal of honor recipient", "he is the eightth youngest living middle of honor recipient", "he is the eightth youngest living medal of honor recipient", "he is the eighth youngest living medal of honor recipient"...
he is the eighth youngest living medal of honor recipient
he is the eightth youngest living medal of honor recipient.
he is the eightth youngest living medal of honor recipient. he is the eightth youngest living middle of honor recipient. he is the eightth youngest living medal of honor recipient. he is the eighth youngest living medal of honor recipient.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is the eightth youngest living medal of honor recipient', 'he is the eightth youngest living medal of honor recipient', 'he is the eightth youngest living middle of honor recipient', 'he is the eightth youn...
[ "musicians included far mark redloff and paul spurman", "musicians included fahre mark redloff and paul spurman", "musicians included farr mark redloff and paul spurman", "musicians included fah mark redloff and paul spurman", "musicians included faire mark redloff and paul spurman" ]
musicians included farr mark radloff and paul sperman
musicians included far mark redloff and paul spurman.
musicians included fahre mark redloff and paul spurman. musicians included farr mark redloff and paul spurman. musicians included fah mark redloff and paul spurman. musicians included faire mark redloff and paul spurman.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['musicians included far mark redloff and paul spurman', 'musicians included fahre mark redloff and paul spurman', 'musicians included farr mark redloff and paul spurman', 'musicians included fah mark redloff an...
[ "choice according to this common sense view lies between good and evil", "choice according to this common sense view lies between good and evil", "choice according to this common sense view lies between good and evil", "choice according to this common sense view lies between good and evil", "choice accordin...
choice according to this common sense view lies between good and evil
choice according to this common sense view lies between good and evil.
choice according to this common sense view lies between good and evil. choice according to this common sense view lies between good and evil. choice according to this common sense view lies between good and evil. choice according to this common sense view lies between good and evil.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['choice according to this common sense view lies between good and evil', 'choice according to this common sense view lies between good and evil', 'choice according to this common sense view lies between good an...
[ "this town is very famous for calf perjure in jican state", "this town is very famous for calf persia in jican state", "this town is very famous for calf persia in japan state", "this town is very famous for calf perjure in jacquian state", "this town is very famous for calf perjure in jacan state" ]
this town is very famous for chath puja in jharkhand state
this town is very famous for calf perjure in jican state.
this town is very famous for calf persia in jican state. this town is very famous for calf persia in japan state. this town is very famous for calf perjure in jacquian state. this town is very famous for calf perjure in jacan state.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this town is very famous for calf perjure in jican state', 'this town is very famous for calf persia in jican state', 'this town is very famous for calf persia in japan state', 'this town is very famous for ca...
[ "he made three appearances on the tour scoring tries against fiji and tonga", "he made three appearances on the tour scoring trials against fiji and tonga", "he made three appearances on the tour scoring tries against fiji and tunga", "he made three appearances on the tour scoring trials against fiji and tung...
he made three appearances on the tour scoring tries against fiji and tonga
he made three appearances on the tour scoring tries against fiji and tonga.
he made three appearances on the tour scoring trials against fiji and tonga. he made three appearances on the tour scoring tries against fiji and tunga. he made three appearances on the tour scoring trials against fiji and tunga. he made three appearances on the tour scoring tries against fiji and tonga.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he made three appearances on the tour scoring tries against fiji and tonga', 'he made three appearances on the tour scoring trials against fiji and tonga', 'he made three appearances on the tour scoring tries ...
[ "her catchphrase is kya", "her catchphrase is kia", "her catchphrase is keyah", "her catchphrase is kea", "her catchphrase is key" ]
her catchphrase is kya
her catchphrase is kya.
her catchphrase is kia. her catchphrase is keyah. her catchphrase is kea. her catchphrase is key.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her catchphrase is kya', 'her catchphrase is kia', 'her catchphrase is keyah', 'her catchphrase is kea', 'her catchphrase is key']
[ "the main inductees here are phishing and traditional textile manufacturing", "the main industries here are facing an additional textile manufacturing", "the main inductees here are fishing and traditional textile manufacturing", "the main inductees here are facing an additional textile manufacturing", "the...
the main industries here are fishing and traditional textile manufacturing
the main inductees here are phishing and traditional textile manufacturing.
the main industries here are facing an additional textile manufacturing. the main inductees here are fishing and traditional textile manufacturing. the main inductees here are facing an additional textile manufacturing. the main industries here are fishing and traditional textile manufacturing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the main inductees here are phishing and traditional textile manufacturing', 'the main industries here are facing an additional textile manufacturing', 'the main inductees here are fishing and traditional text...
[ "punning a post to introduce theory and attorneys into the washing trial system", "punning a post to introduce theory and attorneys into the washing current system", "funding a post to introduce theory and attorneys into the washing trial system", "punning a pose to introduce theory and attorneys into the was...
panin opposed to introduce jury and attorneys into the russian trial system
punning a post to introduce theory and attorneys into the washing trial system.
punning a post to introduce theory and attorneys into the washing current system. funding a post to introduce theory and attorneys into the washing trial system. punning a pose to introduce theory and attorneys into the washing trial system. pannen opposed to introduce theory and attorneys into the washing trial system...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['punning a post to introduce theory and attorneys into the washing trial system', 'punning a post to introduce theory and attorneys into the washing current system', 'funding a post to introduce theory and atto...
[ "also nearby is the gallery of local artist georges camille", "also nearby is the gallery of local artist georges camille", "also nearby is the gallery of local artist george camille", "also nearby is the gallery of local artist george camille", "also nearby is the gallery of local artist georges camille" ]
also nearby is the gallery of local artist georges camille
also nearby is the gallery of local artist georges camille.
also nearby is the gallery of local artist georges camille. also nearby is the gallery of local artist george camille. also nearby is the gallery of local artist george camille. also nearby is the gallery of local artist georges camille.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['also nearby is the gallery of local artist georges camille', 'also nearby is the gallery of local artist georges camille', 'also nearby is the gallery of local artist george camille', 'also nearby is the galle...
[ "however mobile number portability means an individual number might have been ported", "however mobile number portability means an individual number might have been ported", "however mobile number portability means an individual number might help input it", "however mobile number portability means an individu...
however mobile number portability means an individual number might have been ported
however mobile number portability means an individual number might have been ported.
however mobile number portability means an individual number might have been ported. however mobile number portability means an individual number might help input it. however mobile number portability means an individual number might help import it. however mobile number portability means an individual number might hel...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however mobile number portability means an individual number might have been ported', 'however mobile number portability means an individual number might have been ported', 'however mobile number portability m...
[ "in recent years pi has gained some acclaim in mainland chinese literary circles", "in recent years pi has gained some acclaim in mainland chinese literary circles", "in recent years pai has gained summer claim in mainland chinese literary circles", "in recent years pi has gained some acclaim in mainland chin...
in recent years pai has gained some acclaim in mainland chinese literary circles
in recent years pi has gained some acclaim in mainland chinese literary circles.
in recent years pi has gained some acclaim in mainland chinese literary circles. in recent years pai has gained summer claim in mainland chinese literary circles. in recent years pi has gained some acclaim in mainland chinese literary circles. in recent years pi has gained summer claim in mainland chinese literary circ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in recent years pi has gained some acclaim in mainland chinese literary circles', 'in recent years pi has gained some acclaim in mainland chinese literary circles', 'in recent years pai has gained summer claim...
[ "her top side were wrecked and a large fire burned amid ships", "her top side were wrecked and a large fire burned amid ships", "her top side were rect and a large fire burned amid ships", "her topside were wrecked and a large fire burned amid ships", "her top side were erect and a large fire burned amid sh...
her topsides were wrecked and a large fire burned amidships
her top side were wrecked and a large fire burned amid ships.
her top side were wrecked and a large fire burned amid ships. her top side were rect and a large fire burned amid ships. her topside were wrecked and a large fire burned amid ships. her top side were erect and a large fire burned amid ships.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her top side were wrecked and a large fire burned amid ships', 'her top side were wrecked and a large fire burned amid ships', 'her top side were rect and a large fire burned amid ships', 'her topside were wre...
[ "wild boar are known to be competent swimmers capable of covering long distances", "wild boar are known to be competent swimmers capable of covering long distances", "wild boar are known to be competent swimmers capable of covering long distances", "wild boar are known to be competent swimmers capable of cove...
wild boar are known to be competent swimmers capable of covering long distances
wild boar are known to be competent swimmers capable of covering long distances.
wild boar are known to be competent swimmers capable of covering long distances. wild boar are known to be competent swimmers capable of covering long distances. wild boar are known to be competent swimmers capable of covering long distances. wild boar are known to be competent swimmers capable of covering long distanc...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wild boar are known to be competent swimmers capable of covering long distances', 'wild boar are known to be competent swimmers capable of covering long distances', 'wild boar are known to be competent swimmer...