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[ "it also provides industry statistics and benchmarking services", "it also provides industries statistics and benchmarking services", "it also provides industries statistics and benchmarking services", "it also provides industry statistics and bench working services", "it also provides industries statistics and bench working services" ]
it also provides industry statistics and benchmarking services
it also provides industry statistics and benchmarking services.
it also provides industries statistics and benchmarking services. it also provides industries statistics and benchmarking services. it also provides industry statistics and bench working services. it also provides industries statistics and bench working services.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also provides industry statistics and benchmarking services', 'it also provides industries statistics and benchmarking services', 'it also provides industries statistics and benchmarking services', 'it also provides industry statistics and bench working services', 'it also provides industries statistics and bench working services']
[ "near the singapore philatellic museum the recently restored masonic club", "near the singapore philatelic museum the recently restored masonic club", "near the singapore philatellic museum the recently restored masonic club", "near the singapore philatelli museum the recently restored masonic club", "near the singapore philatonic museum the recently restored masonic club" ]
near the singapore philatelic museum the recently restored masonic club
near the singapore philatellic museum the recently restored masonic club.
near the singapore philatelic museum the recently restored masonic club. near the singapore philatellic museum the recently restored masonic club. near the singapore philatelli museum the recently restored masonic club. near the singapore philatonic museum the recently restored masonic club.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['near the singapore philatellic museum the recently restored masonic club', 'near the singapore philatelic museum the recently restored masonic club', 'near the singapore philatellic museum the recently restored masonic club', 'near the singapore philatelli museum the recently restored masonic club', 'near the singapore philatonic museum the recently restored masonic club']
[ "the conflict culminated in a final battle in antarctica on the surface world", "the conflict culminated in a final battle in antarctica and the surface world", "the conflict culminated in a final battle in antarctica under surface world", "the conflict culminated in a final battle in antarctica under surface world", "the conflict culminated in a final battle in antarctica on the surface world" ]
the conflict culminated in a final battle in antarctica on the surface world
the conflict culminated in a final battle in antarctica on the surface world.
the conflict culminated in a final battle in antarctica and the surface world. the conflict culminated in a final battle in antarctica under surface world. the conflict culminated in a final battle in antarctica under surface world. the conflict culminated in a final battle in antarctica on the surface world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the conflict culminated in a final battle in antarctica on the surface world', 'the conflict culminated in a final battle in antarctica and the surface world', 'the conflict culminated in a final battle in antarctica under surface world', 'the conflict culminated in a final battle in antarctica under surface world', 'the conflict culminated in a final battle in antarctica on the surface world']
[ "even after the iteration flicks brooklyn could still be described as homogenous town", "even after the irration flicks brooklyn could still be described as homogenous town", "even after the iteration clicks brooklyn could still be described as homogenous town", "even after the irration clicks brooklyn could still be described as homogenous town", "even after the iteration flicks brooklyn could still be described as homogeneous town" ]
even after the irish influx brookline could still be described as a homogeneous town
even after the iteration flicks brooklyn could still be described as homogenous town.
even after the irration flicks brooklyn could still be described as homogenous town. even after the iteration clicks brooklyn could still be described as homogenous town. even after the irration clicks brooklyn could still be described as homogenous town. even after the iteration flicks brooklyn could still be described as homogeneous town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['even after the iteration flicks brooklyn could still be described as homogenous town', 'even after the irration flicks brooklyn could still be described as homogenous town', 'even after the iteration clicks brooklyn could still be described as homogenous town', 'even after the irration clicks brooklyn could still be described as homogenous town', 'even after the iteration flicks brooklyn could still be described as homogeneous town']
[ "some of these formulas give the cartesian version", "some of these formulas you the cartesian version", "some of these formulas view the cartesian version", "some of these formulas you the cartesian version", "some of these formulas you the cartesian version" ]
some of these formulas give the cartesian version
some of these formulas give the cartesian version.
some of these formulas you the cartesian version. some of these formulas view the cartesian version. some of these formulas you the cartesian version. some of these formulas you the cartesian version.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some of these formulas give the cartesian version', 'some of these formulas you the cartesian version', 'some of these formulas view the cartesian version', 'some of these formulas you the cartesian version', 'some of these formulas you the cartesian version']
[ "in population ecology the argument t often represents spatial displacement in a dispersal kernel", "in population ecology the argument t often represents spatial displacement in a dispersal kernel", "in population ecology the argument t often represents spatial displacement in a dispersal kernel", "in population ecology the argument t often represents spatial displacement in a dispersal kernel", "in population ecology the argument t often represents spatial displacement in a dispersal kernel" ]
in population ecology the argument t often represents spatial displacement in a dispersal kernel
in population ecology the argument t often represents spatial displacement in a dispersal kernel.
in population ecology the argument t often represents spatial displacement in a dispersal kernel. in population ecology the argument t often represents spatial displacement in a dispersal kernel. in population ecology the argument t often represents spatial displacement in a dispersal kernel. in population ecology the argument t often represents spatial displacement in a dispersal kernel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in population ecology the argument t often represents spatial displacement in a dispersal kernel', 'in population ecology the argument t often represents spatial displacement in a dispersal kernel', 'in population ecology the argument t often represents spatial displacement in a dispersal kernel', 'in population ecology the argument t often represents spatial displacement in a dispersal kernel', 'in population ecology the argument t often represents spatial displacement in a dispersal kernel']
[ "nevertheless moaning on the right forty short stories", "nevertheless moan on the right forty short stories", "nevertheless mullen on the right forty short stories", "nevertheless most of them are eight forty short stories", "nevertheless marlon on the right forty short stories" ]
nevertheless mulliner narrates forty short stories
nevertheless moaning on the right forty short stories.
nevertheless moan on the right forty short stories. nevertheless mullen on the right forty short stories. nevertheless most of them are eight forty short stories. nevertheless marlon on the right forty short stories.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nevertheless moaning on the right forty short stories', 'nevertheless moan on the right forty short stories', 'nevertheless mullen on the right forty short stories', 'nevertheless most of them are eight forty short stories', 'nevertheless marlon on the right forty short stories']
[ "to other passengers we are not seriously injured", "to other passengers will not seriously injured", "to all the passengers will not seriously injured", "two other passengers will not seriously injured", "to other passengers we are not seriously injured" ]
two other passengers were not seriously injured
to other passengers we are not seriously injured.
to other passengers will not seriously injured. to all the passengers will not seriously injured. two other passengers will not seriously injured. to other passengers we are not seriously injured.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to other passengers we are not seriously injured', 'to other passengers will not seriously injured', 'to all the passengers will not seriously injured', 'two other passengers will not seriously injured', 'to other passengers we are not seriously injured']
[ "some promote a sweetened however unsweetened or dried but most tend to be beaten", "some promote a sweetened however unsweetened or dried bermouth can be beaten", "some promote a sweetened however unsweetened or dried bermouth can be beaten", "some promote a sweetened however unsweetened or dried promote ten feet beaten", "some promote a sweetened however unsweetened or dried but most tend to be bitten" ]
some vermouth is sweetened however unsweetened or dry vermouth tends to be bitter
some promote a sweetened however unsweetened or dried but most tend to be beaten.
some promote a sweetened however unsweetened or dried bermouth can be beaten. some promote a sweetened however unsweetened or dried bermouth can be beaten. some promote a sweetened however unsweetened or dried promote ten feet beaten. some promote a sweetened however unsweetened or dried but most tend to be bitten.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some promote a sweetened however unsweetened or dried but most tend to be beaten', 'some promote a sweetened however unsweetened or dried bermouth can be beaten', 'some promote a sweetened however unsweetened or dried bermouth can be beaten', 'some promote a sweetened however unsweetened or dried promote ten feet beaten', 'some promote a sweetened however unsweetened or dried but most tend to be bitten']
[ "aldrich township who was named after aldrich minasota", "aldrich township who is named after aldrich minasota", "aldrich township who was named after aldrich minasota", "aldrich township was named after aldrich minasota", "aldrich township who is named after aldrich minasota" ]
aldrich township was named after aldrich minnesota
aldrich township who was named after aldrich minasota.
aldrich township who is named after aldrich minasota. aldrich township who was named after aldrich minasota. aldrich township was named after aldrich minasota. aldrich township who is named after aldrich minasota.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['aldrich township who was named after aldrich minasota', 'aldrich township who is named after aldrich minasota', 'aldrich township who was named after aldrich minasota', 'aldrich township was named after aldrich minasota', 'aldrich township who is named after aldrich minasota']
[ "he never married and his title became extinct on his death", "he never married and his title became extinct on his death", "and his title became extinct on his death", "and his title became extinct on his death", "and his title became extinct on his death" ]
he never married and his title became extinct on his death
he never married and his title became extinct on his death.
he never married and his title became extinct on his death. and his title became extinct on his death. and his title became extinct on his death. and his title became extinct on his death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he never married and his title became extinct on his death', 'he never married and his title became extinct on his death', 'and his title became extinct on his death', 'and his title became extinct on his death', 'and his title became extinct on his death']
[ "two rockers smile defense violent stage", "two rocker smile depends while on stage", "two rocker smile depends while on stage", "two rockers smile depends while on stage", "two rockers smile depends while on stage" ]
two rockers smile to fans while on stage
two rockers smile defense violent stage.
two rocker smile depends while on stage. two rocker smile depends while on stage. two rockers smile depends while on stage. two rockers smile depends while on stage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two rockers smile defense violent stage', 'two rocker smile depends while on stage', 'two rocker smile depends while on stage', 'two rockers smile depends while on stage', 'two rockers smile depends while on stage']
[ "jackwell and kennedy led an effort to redecorate and restore the white house", "jacqueline kennedy led an effort to redecorate and restore the white house", "jacqueline kennedy led an effort to redecorate and restore the white house", "jacqueline kennedy lead an effort to redecorate and restore the white house", "jackwell kennedy led an effort to redecorate and restore the white house" ]
jacqueline kennedy led an effort to redecorate and restore the white house
jackwell and kennedy led an effort to redecorate and restore the white house.
jacqueline kennedy led an effort to redecorate and restore the white house. jacqueline kennedy led an effort to redecorate and restore the white house. jacqueline kennedy lead an effort to redecorate and restore the white house. jackwell kennedy led an effort to redecorate and restore the white house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jackwell and kennedy led an effort to redecorate and restore the white house', 'jacqueline kennedy led an effort to redecorate and restore the white house', 'jacqueline kennedy led an effort to redecorate and restore the white house', 'jacqueline kennedy lead an effort to redecorate and restore the white house', 'jackwell kennedy led an effort to redecorate and restore the white house']
[ "it may be accompanied by vomiting and sweating", "it may be accompanied by vomiting and sweating", "it may be accompanied by vomiting and sweating", "it may be accompanied by vomiting and sweating", "it may be accompanied by vomiting and sweating" ]
it may be accompanied by vomiting and sweating
it may be accompanied by vomiting and sweating.
it may be accompanied by vomiting and sweating. it may be accompanied by vomiting and sweating. it may be accompanied by vomiting and sweating. it may be accompanied by vomiting and sweating.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it may be accompanied by vomiting and sweating', 'it may be accompanied by vomiting and sweating', 'it may be accompanied by vomiting and sweating', 'it may be accompanied by vomiting and sweating', 'it may be accompanied by vomiting and sweating']
[ "two representative changed parties one died and five resigned", "two representatives changed parties one died and five resigned", "two representative changed parties one died and a five resigned", "two representative changed parties one died and five resigned", "two representatives changed parties one died and a five resigned" ]
two representatives changed parties one died and five resigned
two representative changed parties one died and five resigned.
two representatives changed parties one died and five resigned. two representative changed parties one died and a five resigned. two representative changed parties one died and five resigned. two representatives changed parties one died and a five resigned.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two representative changed parties one died and five resigned', 'two representatives changed parties one died and five resigned', 'two representative changed parties one died and a five resigned', 'two representative changed parties one died and five resigned', 'two representatives changed parties one died and a five resigned']
[ "various historians have had conflicting opinions about the matter", "various historians have had conflicting opinions about the matter", "various historians have had conflicting opinions about the matter", "various historians have had conflicting opinions about the matter", "various historians have had conflicting opinions about the matter" ]
various historians have had conflicting opinions about the matter
various historians have had conflicting opinions about the matter.
various historians have had conflicting opinions about the matter. various historians have had conflicting opinions about the matter. various historians have had conflicting opinions about the matter. various historians have had conflicting opinions about the matter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['various historians have had conflicting opinions about the matter', 'various historians have had conflicting opinions about the matter', 'various historians have had conflicting opinions about the matter', 'various historians have had conflicting opinions about the matter', 'various historians have had conflicting opinions about the matter']
[ "the song inspired the band is slogan good save the kings", "the song inspired the band is slogan good save the kings", "the song inspired the band is slogan good save the kings", "the song inspired the band is slogan good sailed the kings", "the song inspired the band is slogan good sailed the kings" ]
the song inspired the band is slogan god save the kinks
the song inspired the band is slogan good save the kings.
the song inspired the band is slogan good save the kings. the song inspired the band is slogan good save the kings. the song inspired the band is slogan good sailed the kings. the song inspired the band is slogan good sailed the kings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the song inspired the band is slogan good save the kings', 'the song inspired the band is slogan good save the kings', 'the song inspired the band is slogan good save the kings', 'the song inspired the band is slogan good sailed the kings', 'the song inspired the band is slogan good sailed the kings']
[ "they have two children a son and a daughter ellie nun also an actress", "they have two children a son and a daughter ellie nun also an actress", "they have two children a son and a daughter ellie nunn also an actress", "they have two children a son and a daughter ellie ngan also an actress", "they have two children a son and a daughter ellie nun also an actress" ]
they have two children a son and a daughter ellie nunn also an actress
they have two children a son and a daughter ellie nun also an actress.
they have two children a son and a daughter ellie nun also an actress. they have two children a son and a daughter ellie nunn also an actress. they have two children a son and a daughter ellie ngan also an actress. they have two children a son and a daughter ellie nun also an actress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have two children a son and a daughter ellie nun also an actress', 'they have two children a son and a daughter ellie nun also an actress', 'they have two children a son and a daughter ellie nunn also an actress', 'they have two children a son and a daughter ellie ngan also an actress', 'they have two children a son and a daughter ellie nun also an actress']
[ "after the game stubach said he threw the ball and said i hail mary", "after the game stu batch said he threw the ball and said i hail mary", "after the game stubach said he threw the ball and said i hail mary", "after the game stubach said he threw the ball and said i hail mary", "after the game stubach said he threw the ball and said i hail mary" ]
after the game staubach said he threw the ball and said a hail mary
after the game stubach said he threw the ball and said i hail mary.
after the game stu batch said he threw the ball and said i hail mary. after the game stubach said he threw the ball and said i hail mary. after the game stubach said he threw the ball and said i hail mary. after the game stubach said he threw the ball and said i hail mary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the game stubach said he threw the ball and said i hail mary', 'after the game stu batch said he threw the ball and said i hail mary', 'after the game stubach said he threw the ball and said i hail mary', 'after the game stubach said he threw the ball and said i hail mary', 'after the game stubach said he threw the ball and said i hail mary']
[ "i enjoy having a quiet pint at a traditional british pub", "i enjoy having a quiet pint at a traditional british pub", "i enjoy having a quiet pint at a traditional british pub", "i enjoy having a quiet pint at a traditional british pub", "i enjoy having a quiet pint at a traditional british pub" ]
i enjoy having a quiet pint at a traditional british pub
i enjoy having a quiet pint at a traditional british pub.
i enjoy having a quiet pint at a traditional british pub. i enjoy having a quiet pint at a traditional british pub. i enjoy having a quiet pint at a traditional british pub. i enjoy having a quiet pint at a traditional british pub.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i enjoy having a quiet pint at a traditional british pub', 'i enjoy having a quiet pint at a traditional british pub', 'i enjoy having a quiet pint at a traditional british pub', 'i enjoy having a quiet pint at a traditional british pub', 'i enjoy having a quiet pint at a traditional british pub']
[ "it is most effectively used as a crossing knot", "it is most effectively used as a crossing knot", "it is most effectively used as a crossing knot", "it is most effectively used as a crossing knot", "it is most effectively used as a crossing knot" ]
it is most effectively used as a crossing knot
it is most effectively used as a crossing knot.
it is most effectively used as a crossing knot. it is most effectively used as a crossing knot. it is most effectively used as a crossing knot. it is most effectively used as a crossing knot.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is most effectively used as a crossing knot', 'it is most effectively used as a crossing knot', 'it is most effectively used as a crossing knot', 'it is most effectively used as a crossing knot', 'it is most effectively used as a crossing knot']
[ "a three input gate uses eight three input sea elements", "a three input gate uses eight three input c elements", "a three input gate uses eight three input c elements", "a three input gate uses eight three input c element", "a three input gate uses eight three input c elements" ]
a three input gate uses eight three input c elements
a three input gate uses eight three input sea elements.
a three input gate uses eight three input c elements. a three input gate uses eight three input c elements. a three input gate uses eight three input c element. a three input gate uses eight three input c elements.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a three input gate uses eight three input sea elements', 'a three input gate uses eight three input c elements', 'a three input gate uses eight three input c elements', 'a three input gate uses eight three input c element', 'a three input gate uses eight three input c elements']
[ "he was cremated and his efforts was scattered near wensleek village california", "he was cremated and his efforts was scattered near wensleek village california", "he was cremated and his efforts was scattered near wensleek village california", "he was cremated and his efforts were scattered near wensleek village california", "he was cremated and his efforts were scattered near wensleek village california" ]
he was cremated and his ashes were scattered near westlake village california
he was cremated and his efforts was scattered near wensleek village california.
he was cremated and his efforts was scattered near wensleek village california. he was cremated and his efforts was scattered near wensleek village california. he was cremated and his efforts were scattered near wensleek village california. he was cremated and his efforts were scattered near wensleek village california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was cremated and his efforts was scattered near wensleek village california', 'he was cremated and his efforts was scattered near wensleek village california', 'he was cremated and his efforts was scattered near wensleek village california', 'he was cremated and his efforts were scattered near wensleek village california', 'he was cremated and his efforts were scattered near wensleek village california']
[ "it also requires mandatory support for wideband audio", "it also requires mandatory support for whiteband audio", "it also requires mandatory support for whiteband audio", "it also requires mandatory support for white band audio", "it also requires mandatory support for white band audio" ]
it also requires mandatory support for wideband audio
it also requires mandatory support for wideband audio.
it also requires mandatory support for whiteband audio. it also requires mandatory support for whiteband audio. it also requires mandatory support for white band audio. it also requires mandatory support for white band audio.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also requires mandatory support for wideband audio', 'it also requires mandatory support for whiteband audio', 'it also requires mandatory support for whiteband audio', 'it also requires mandatory support for white band audio', 'it also requires mandatory support for white band audio']
[ "the eastern railway passed through mondering on its first route through to chidlow", "the eastern railway passed through mondering on its first route through to chidlow", "the eastern railway passed through mondering on its first route through to chidlow", "the eastern railway passed through mundering on its first route through to chidlow", "the eastern railway passed through mundering on its first route through to chidlow" ]
the eastern railway passed through mundaring on its first route through to chidlow
the eastern railway passed through mondering on its first route through to chidlow.
the eastern railway passed through mondering on its first route through to chidlow. the eastern railway passed through mondering on its first route through to chidlow. the eastern railway passed through mundering on its first route through to chidlow. the eastern railway passed through mundering on its first route through to chidlow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the eastern railway passed through mondering on its first route through to chidlow', 'the eastern railway passed through mondering on its first route through to chidlow', 'the eastern railway passed through mondering on its first route through to chidlow', 'the eastern railway passed through mundering on its first route through to chidlow', 'the eastern railway passed through mundering on its first route through to chidlow']
[ "the bronze medal was subsequently awarded to french runner mahidine mckeecy bennerbad", "the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad", "the bronze medal was subsequently awarded to french runner mahidine mckeecy bernabede", "the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad", "the bronze medal was subsequently awarded to french runner mahidine mckeece benerbad" ]
the bronze medal was subsequently awarded to french runner mahiedine mekhissi benabbad
the bronze medal was subsequently awarded to french runner mahidine mckeecy bennerbad.
the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad. the bronze medal was subsequently awarded to french runner mahidine mckeecy bernabede. the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad. the bronze medal was subsequently awarded to french runner mahidine mckeece benerbad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bronze medal was subsequently awarded to french runner mahidine mckeecy bennerbad', 'the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad', 'the bronze medal was subsequently awarded to french runner mahidine mckeecy bernabede', 'the bronze medal was subsequently awarded to french runner mahidine mceasey benabbad', 'the bronze medal was subsequently awarded to french runner mahidine mckeece benerbad']
[ "these men did not support her however she carried herself on an independent income", "these men did not support her however she carried herself on an independent income", "this man did not support her however she carried herself on an independent income", "this men did not support her however she carried herself on an independent income", "these men did not support her however she targeted herself on an independent income" ]
these men did not support her however she prided herself on her independent income
these men did not support her however she carried herself on an independent income.
these men did not support her however she carried herself on an independent income. this man did not support her however she carried herself on an independent income. this men did not support her however she carried herself on an independent income. these men did not support her however she targeted herself on an independent income.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these men did not support her however she carried herself on an independent income', 'these men did not support her however she carried herself on an independent income', 'this man did not support her however she carried herself on an independent income', 'this men did not support her however she carried herself on an independent income', 'these men did not support her however she targeted herself on an independent income']
[ "its occlusion is due in part to floor profile on the porch walls", "its occlusion is during part to floor profile on the porch walls", "its occlusion is due in part to floor profile on the approach walls", "its occlusion is due in part to floor profile on the perch walks", "its occlusion is during part to flow perfect along the perch walks" ]
its seclusion is due in part to its low profile and long approach walks
its occlusion is due in part to floor profile on the porch walls.
its occlusion is during part to floor profile on the porch walls. its occlusion is due in part to floor profile on the approach walls. its occlusion is due in part to floor profile on the perch walks. its occlusion is during part to flow perfect along the perch walks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its occlusion is due in part to floor profile on the porch walls', 'its occlusion is during part to floor profile on the porch walls', 'its occlusion is due in part to floor profile on the approach walls', 'its occlusion is due in part to floor profile on the perch walks', 'its occlusion is during part to flow perfect along the perch walks']
[ "he died a canterbury and is buried in the cathedral", "he died at canterbury and is buried in the cathedral", "he died at canterbury and is buried in the cathedral", "he died a canterbury and is buried in the cathedral", "he died a canterbury and is buried in the cathedral" ]
he died at canterbury and is buried in the cathedral
he died a canterbury and is buried in the cathedral.
he died at canterbury and is buried in the cathedral. he died at canterbury and is buried in the cathedral. he died a canterbury and is buried in the cathedral. he died a canterbury and is buried in the cathedral.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he died a canterbury and is buried in the cathedral', 'he died at canterbury and is buried in the cathedral', 'he died at canterbury and is buried in the cathedral', 'he died a canterbury and is buried in the cathedral', 'he died a canterbury and is buried in the cathedral']
[ "troughgate pointed out that lenin had effectively accused stalin of a lack of loyalty", "trophy pointed out that lenin had effectively accused stalin of a lack of loyalty", "troughgate pointed out that lennon had effectively accused stalin of a lack of loyalty", "trouffky pointed out that lenin had effectively accused stalin of a lack of loyalty", "trophy pointed out that lennon had effectively accused stalin of a lack of loyalty" ]
trotsky pointed out that lenin had effectively accused stalin of a lack of loyalty
troughgate pointed out that lenin had effectively accused stalin of a lack of loyalty.
trophy pointed out that lenin had effectively accused stalin of a lack of loyalty. troughgate pointed out that lennon had effectively accused stalin of a lack of loyalty. trouffky pointed out that lenin had effectively accused stalin of a lack of loyalty. trophy pointed out that lennon had effectively accused stalin of a lack of loyalty.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['troughgate pointed out that lenin had effectively accused stalin of a lack of loyalty', 'trophy pointed out that lenin had effectively accused stalin of a lack of loyalty', 'troughgate pointed out that lennon had effectively accused stalin of a lack of loyalty', 'trouffky pointed out that lenin had effectively accused stalin of a lack of loyalty', 'trophy pointed out that lennon had effectively accused stalin of a lack of loyalty']
[ "let be a real number", "let me in real number", "let me a real number", "let me am real number", "let it be a real number" ]
let be a real number
let be a real number.
let me in real number. let me a real number. let me am real number. let it be a real number.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let be a real number', 'let me in real number', 'let me a real number', 'let me am real number', 'let it be a real number']
[ "nevertheless weaker reductions are also considered", "nevertheless we care reductions are also considered", "nevertheless weika reductions are also considered", "nevertheless wca reductions are also considered", "nevertheless weaker reductions are also considered" ]
nevertheless weaker reductions are also considered
nevertheless weaker reductions are also considered.
nevertheless we care reductions are also considered. nevertheless weika reductions are also considered. nevertheless wca reductions are also considered. nevertheless weaker reductions are also considered.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nevertheless weaker reductions are also considered', 'nevertheless we care reductions are also considered', 'nevertheless weika reductions are also considered', 'nevertheless wca reductions are also considered', 'nevertheless weaker reductions are also considered']
[ "you then obtain the king is license to found a priority on these lands", "you then obtain the king is license to found a priority on these lands", "you then obtain the king is license to find a priority on these lands", "he then obtained the king is license to found a priority on these lands", "you did not obtain the king is license to found a priority on these lands" ]
he then obtained the king is license to found a priory on his lands
you then obtain the king is license to found a priority on these lands.
you then obtain the king is license to found a priority on these lands. you then obtain the king is license to find a priority on these lands. he then obtained the king is license to found a priority on these lands. you did not obtain the king is license to found a priority on these lands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you then obtain the king is license to found a priority on these lands', 'you then obtain the king is license to found a priority on these lands', 'you then obtain the king is license to find a priority on these lands', 'he then obtained the king is license to found a priority on these lands', 'you did not obtain the king is license to found a priority on these lands']
[ "the club was located in the basement of polish national circuit", "the club was located in the basement of polish national church", "the club was located in the basement of polish national church", "the club was located in the basement of the polish national circuit", "the club was located in the basement of the polish national church" ]
the club was located in the basement of the polish national church
the club was located in the basement of polish national circuit.
the club was located in the basement of polish national church. the club was located in the basement of polish national church. the club was located in the basement of the polish national circuit. the club was located in the basement of the polish national church.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the club was located in the basement of polish national circuit', 'the club was located in the basement of polish national church', 'the club was located in the basement of polish national church', 'the club was located in the basement of the polish national circuit', 'the club was located in the basement of the polish national church']
[ "the sensors are designed using quantum physics", "the sensors are designed using quantum physics", "the sensors are designed using quantum physics", "the sensors are designed using quantum physics", "the sensors are designed using quantum physics" ]
the sensors are designed using quantum physics
the sensors are designed using quantum physics.
the sensors are designed using quantum physics. the sensors are designed using quantum physics. the sensors are designed using quantum physics. the sensors are designed using quantum physics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sensors are designed using quantum physics', 'the sensors are designed using quantum physics', 'the sensors are designed using quantum physics', 'the sensors are designed using quantum physics', 'the sensors are designed using quantum physics']
[ "carl willis the former minor league pitching coordinator was promoted to pitching coach", "karl willis the former minor league pitching coordinator was promoted to pitching coach", "colable willis the former minor league pitching coordinator was promoted to pitching coach", "carl willis the former minor league pitching coordinator was promoted to pitching coach", "karl willis the former minor league pitching coordinator was promoted to pitching coach" ]
carl willis the former minor league pitching coordinator was promoted to pitching coach
carl willis the former minor league pitching coordinator was promoted to pitching coach.
karl willis the former minor league pitching coordinator was promoted to pitching coach. colable willis the former minor league pitching coordinator was promoted to pitching coach. carl willis the former minor league pitching coordinator was promoted to pitching coach. karl willis the former minor league pitching coordinator was promoted to pitching coach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['carl willis the former minor league pitching coordinator was promoted to pitching coach', 'karl willis the former minor league pitching coordinator was promoted to pitching coach', 'colable willis the former minor league pitching coordinator was promoted to pitching coach', 'carl willis the former minor league pitching coordinator was promoted to pitching coach', 'karl willis the former minor league pitching coordinator was promoted to pitching coach']
[ "the next season she began competing on the senior international level", "the next season she began competing on the senior international level", "the next season she began competing on the senior international level", "the next season she began competing on the senior international level", "the next season she began competing on the senior international level" ]
the next season she began competing on the senior international level
the next season she began competing on the senior international level.
the next season she began competing on the senior international level. the next season she began competing on the senior international level. the next season she began competing on the senior international level. the next season she began competing on the senior international level.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next season she began competing on the senior international level', 'the next season she began competing on the senior international level', 'the next season she began competing on the senior international level', 'the next season she began competing on the senior international level', 'the next season she began competing on the senior international level']
[ "all turn tables and sri lanka railways were operated manually", "old turn tables and sri lanka railways were operated manually", "all turn tables in sri lanka railways were operated manually", "all turn tables and sri lanka railways were operated manually", "old turn tables in sri lanka were operated manually" ]
all turntables in sri lanka railways were operated manually
all turn tables and sri lanka railways were operated manually.
old turn tables and sri lanka railways were operated manually. all turn tables in sri lanka railways were operated manually. all turn tables and sri lanka railways were operated manually. old turn tables in sri lanka were operated manually.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all turn tables and sri lanka railways were operated manually', 'old turn tables and sri lanka railways were operated manually', 'all turn tables in sri lanka railways were operated manually', 'all turn tables and sri lanka railways were operated manually', 'old turn tables in sri lanka were operated manually']
[ "more recently androgen receptors have been shown to have a second mode of action", "more recently androgen receptors have been shown to have a second mode of action", "more recently androgyn receptors have been shown to have a second mode of action", "more recently androgyne receptors have been shown to have a second mode of action", "more recently androgyner receptors have been shown to have a second mode of action" ]
more recently androgen receptors have been shown to have a second mode of action
more recently androgen receptors have been shown to have a second mode of action.
more recently androgen receptors have been shown to have a second mode of action. more recently androgyn receptors have been shown to have a second mode of action. more recently androgyne receptors have been shown to have a second mode of action. more recently androgyner receptors have been shown to have a second mode of action.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['more recently androgen receptors have been shown to have a second mode of action', 'more recently androgen receptors have been shown to have a second mode of action', 'more recently androgyn receptors have been shown to have a second mode of action', 'more recently androgyne receptors have been shown to have a second mode of action', 'more recently androgyner receptors have been shown to have a second mode of action']
[ "chad mcnamara has also appeared in the canadian productions of mamma mia", "chad mcnamara has also appeared in the canadian productions of mamamia", "chad mcnamara has also appeared in the canadian productions of mama mia", "chad mcnamara has also appeared in the canadian productions of mamma mia", "chad mcneymar has also appeared in the canadian productions of mamma mia" ]
chad mcnamara has also appeared in the canadian productions of mamma mia
chad mcnamara has also appeared in the canadian productions of mamma mia.
chad mcnamara has also appeared in the canadian productions of mamamia. chad mcnamara has also appeared in the canadian productions of mama mia. chad mcnamara has also appeared in the canadian productions of mamma mia. chad mcneymar has also appeared in the canadian productions of mamma mia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chad mcnamara has also appeared in the canadian productions of mamma mia', 'chad mcnamara has also appeared in the canadian productions of mamamia', 'chad mcnamara has also appeared in the canadian productions of mama mia', 'chad mcnamara has also appeared in the canadian productions of mamma mia', 'chad mcneymar has also appeared in the canadian productions of mamma mia']
[ "the album was released on hope recordings", "the album was released on hope recordings", "the album was released on hope recordings", "the album was released on hope recordings", "the album was released on hope recordings" ]
the album was released on hope recordings
the album was released on hope recordings.
the album was released on hope recordings. the album was released on hope recordings. the album was released on hope recordings. the album was released on hope recordings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album was released on hope recordings', 'the album was released on hope recordings', 'the album was released on hope recordings', 'the album was released on hope recordings', 'the album was released on hope recordings']
[ "it forms part of the national trust black cap nature reserve", "it forms part of the national trust black cap nature reserve", "it forms part of the national trust black cap nature reserve", "it forms part of the national trust black cap nature zone", "it forms part of the national trust black cap nature reserve" ]
it forms part of the national trust blackcap nature reserve
it forms part of the national trust black cap nature reserve.
it forms part of the national trust black cap nature reserve. it forms part of the national trust black cap nature reserve. it forms part of the national trust black cap nature zone. it forms part of the national trust black cap nature reserve.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it forms part of the national trust black cap nature reserve', 'it forms part of the national trust black cap nature reserve', 'it forms part of the national trust black cap nature reserve', 'it forms part of the national trust black cap nature zone', 'it forms part of the national trust black cap nature reserve']
[ "he was given permission by the british to travel through madras bengal and selon", "he was given permission by the british to travel through madras bengal and salon", "he was given permission by the british to travel to madras bengal and selon", "he was given permission by the british to travel through madras bengal and sailor", "he was given permission by the british to travel to madras bengal and salon" ]
he was given permission by the british to travel through madras bengal and ceylon
he was given permission by the british to travel through madras bengal and selon.
he was given permission by the british to travel through madras bengal and salon. he was given permission by the british to travel to madras bengal and selon. he was given permission by the british to travel through madras bengal and sailor. he was given permission by the british to travel to madras bengal and salon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was given permission by the british to travel through madras bengal and selon', 'he was given permission by the british to travel through madras bengal and salon', 'he was given permission by the british to travel to madras bengal and selon', 'he was given permission by the british to travel through madras bengal and sailor', 'he was given permission by the british to travel to madras bengal and salon']
[ "also sounds not normally associated with blues often used at shelf bar blues format", "also sounds not normally associated with blues often use a child bar blues format", "also sounds not normally associated with blues often use a shelf bar blues format", "also sounds not normally associated with blues often used at shelf bar blues format", "also some are not normally associated with blues often used at shelf bar blues format" ]
also songs not normally associated with blues often use a twelve bar blues format
also sounds not normally associated with blues often used at shelf bar blues format.
also sounds not normally associated with blues often use a child bar blues format. also sounds not normally associated with blues often use a shelf bar blues format. also sounds not normally associated with blues often used at shelf bar blues format. also some are not normally associated with blues often used at shelf bar blues format.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['also sounds not normally associated with blues often used at shelf bar blues format', 'also sounds not normally associated with blues often use a child bar blues format', 'also sounds not normally associated with blues often use a shelf bar blues format', 'also sounds not normally associated with blues often used at shelf bar blues format', 'also some are not normally associated with blues often used at shelf bar blues format']
[ "the game between gorani and ponte preta unknown as derby and benerio", "the game between gorani and ponte preta unknown as derby and fenirio", "the game between gorani and ponty preta unknown as derby and benerio", "the game between gorani and ponte pretta unknown as derby and benerio", "the game between gorani and ponte pretta unknown as derby and fenirio" ]
the games between guarani and ponte preta are known as derby campineiro
the game between gorani and ponte preta unknown as derby and benerio.
the game between gorani and ponte preta unknown as derby and fenirio. the game between gorani and ponty preta unknown as derby and benerio. the game between gorani and ponte pretta unknown as derby and benerio. the game between gorani and ponte pretta unknown as derby and fenirio.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the game between gorani and ponte preta unknown as derby and benerio', 'the game between gorani and ponte preta unknown as derby and fenirio', 'the game between gorani and ponty preta unknown as derby and benerio', 'the game between gorani and ponte pretta unknown as derby and benerio', 'the game between gorani and ponte pretta unknown as derby and fenirio']
[ "they were a small group that made their ideology very clear", "they were small groups that made their ideology very clear", "they were small groups that made their ideology very clear", "they were small groups that made their ideology very clear", "they were small groups that made their ideology very clear" ]
they were a small group that made their ideology very clear
they were a small group that made their ideology very clear.
they were small groups that made their ideology very clear. they were small groups that made their ideology very clear. they were small groups that made their ideology very clear. they were small groups that made their ideology very clear.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they were a small group that made their ideology very clear', 'they were small groups that made their ideology very clear', 'they were small groups that made their ideology very clear', 'they were small groups that made their ideology very clear', 'they were small groups that made their ideology very clear']
[ "the pioneers locketing campaign was recognized internationally", "the pioneers locketing campaign was recognized internationally", "the pioneers marketing campaign was recognized internationally", "the finance marketing campaign was recognized internationally", "the buying and marketing campaign was recognized internationally" ]
the pioneers marketing campaign was recognized internationally
the pioneers locketing campaign was recognized internationally.
the pioneers locketing campaign was recognized internationally. the pioneers marketing campaign was recognized internationally. the finance marketing campaign was recognized internationally. the buying and marketing campaign was recognized internationally.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the pioneers locketing campaign was recognized internationally', 'the pioneers locketing campaign was recognized internationally', 'the pioneers marketing campaign was recognized internationally', 'the finance marketing campaign was recognized internationally', 'the buying and marketing campaign was recognized internationally']
[ "hali and malbrough go to the bank", "hali and my bro go to the bank", "hali and malbro go to the bank", "harley and merlbrough go to the bank", "haali and malbrough go to the bank" ]
harley and marlboro go to the bank
hali and malbrough go to the bank.
hali and my bro go to the bank. hali and malbro go to the bank. harley and merlbrough go to the bank. haali and malbrough go to the bank.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hali and malbrough go to the bank', 'hali and my bro go to the bank', 'hali and malbro go to the bank', 'harley and merlbrough go to the bank', 'haali and malbrough go to the bank']
[ "in some sense you revived arabic studies", "in some sense you revived arabic studies", "in some sense you revived our book studies", "in some sense he revived arabic studies", "in some sense you revived arabic studies" ]
in some sense he revived arabic studies
in some sense you revived arabic studies.
in some sense you revived arabic studies. in some sense you revived our book studies. in some sense he revived arabic studies. in some sense you revived arabic studies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in some sense you revived arabic studies', 'in some sense you revived arabic studies', 'in some sense you revived our book studies', 'in some sense he revived arabic studies', 'in some sense you revived arabic studies']
[ "he worked with minimal means and maximum abstraction instead of initiating nature", "he worked with minimal means and maximum attraction instead of initiating nature", "he worked with minimal means and maximum abstraction instead of initiating nature", "he worked with minimal means and maximum extraction instead of initiating nature", "he worked with minimal means and maximum abstraction instead of irritating nature" ]
he worked with minimal means and maximum abstraction instead of imitating nature
he worked with minimal means and maximum abstraction instead of initiating nature.
he worked with minimal means and maximum attraction instead of initiating nature. he worked with minimal means and maximum abstraction instead of initiating nature. he worked with minimal means and maximum extraction instead of initiating nature. he worked with minimal means and maximum abstraction instead of irritating nature.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he worked with minimal means and maximum abstraction instead of initiating nature', 'he worked with minimal means and maximum attraction instead of initiating nature', 'he worked with minimal means and maximum abstraction instead of initiating nature', 'he worked with minimal means and maximum extraction instead of initiating nature', 'he worked with minimal means and maximum abstraction instead of irritating nature']
[ "it contains crackdown primary school and salt more acronym", "it contains crackdown primary school and salt more acronym", "it contains crackdown primary school and salt more academic", "it contains black town primary school and southmore academy", "it contains krakow primary school and southmore academy" ]
it contains grangetown primary school and southmoor academy
it contains crackdown primary school and salt more acronym.
it contains crackdown primary school and salt more acronym. it contains crackdown primary school and salt more academic. it contains black town primary school and southmore academy. it contains krakow primary school and southmore academy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it contains crackdown primary school and salt more acronym', 'it contains crackdown primary school and salt more acronym', 'it contains crackdown primary school and salt more academic', 'it contains black town primary school and southmore academy', 'it contains krakow primary school and southmore academy']
[ "at home artificial intelligence can be misleading it cannot think on its own yet", "at home artificial intelligence can be misleading it cannot think on it is own yet", "at home artificial intelligence can be misleading it cannot think on its own yet", "at home artificial intelligence can be misleading it cannot think on it is own yet", "the term artificial intelligence can be misleading it cannot think on its own yet" ]
the term artificial intelligence can be misleading it cannot think on its own yet
at home artificial intelligence can be misleading it cannot think on its own yet.
at home artificial intelligence can be misleading it cannot think on it is own yet. at home artificial intelligence can be misleading it cannot think on its own yet. at home artificial intelligence can be misleading it cannot think on it is own yet. the term artificial intelligence can be misleading it cannot think on its own yet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at home artificial intelligence can be misleading it cannot think on its own yet', 'at home artificial intelligence can be misleading it cannot think on it is own yet', 'at home artificial intelligence can be misleading it cannot think on its own yet', 'at home artificial intelligence can be misleading it cannot think on it is own yet', 'the term artificial intelligence can be misleading it cannot think on its own yet']
[ "since then the barge has had eight hiatus", "since then the barges had eight hiatus", "since then the barge has had eight hiatus", "since then the barges had eight hiatus", "since then the barges had ate hiatus" ]
since then the band has had a hiatus
since then the barge has had eight hiatus.
since then the barges had eight hiatus. since then the barge has had eight hiatus. since then the barges had eight hiatus. since then the barges had ate hiatus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since then the barge has had eight hiatus', 'since then the barges had eight hiatus', 'since then the barge has had eight hiatus', 'since then the barges had eight hiatus', 'since then the barges had ate hiatus']
[ "texts land now or television executive varsal commissioner", "text land now or television executive varsal commissioner", "texts land now or television executive worse or commissioner", "text land now or television executive worse or commissioner", "text land now or television executive or sub commissioner" ]
rex lardner a television executive was the commissioner
texts land now or television executive varsal commissioner.
text land now or television executive varsal commissioner. texts land now or television executive worse or commissioner. text land now or television executive worse or commissioner. text land now or television executive or sub commissioner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['texts land now or television executive varsal commissioner', 'text land now or television executive varsal commissioner', 'texts land now or television executive worse or commissioner', 'text land now or television executive worse or commissioner', 'text land now or television executive or sub commissioner']
[ "the house holds three stages", "the house holds three stages", "the house holds three stages", "the house holds three stages", "the house holds three stages" ]
the house holds three stages
the house holds three stages.
the house holds three stages. the house holds three stages. the house holds three stages. the house holds three stages.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the house holds three stages', 'the house holds three stages', 'the house holds three stages', 'the house holds three stages', 'the house holds three stages']
[ "older pupils usually attend full fit school in york", "older pupils usually attend full fret school in york", "older pupils usually attend fulford school in york", "older pupils usually attend full frid school in york", "older pupils usually attend full fid school in york" ]
older pupils usually attend fulford school in york
older pupils usually attend full fit school in york.
older pupils usually attend full fret school in york. older pupils usually attend fulford school in york. older pupils usually attend full frid school in york. older pupils usually attend full fid school in york.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['older pupils usually attend full fit school in york', 'older pupils usually attend full fret school in york', 'older pupils usually attend fulford school in york', 'older pupils usually attend full frid school in york', 'older pupils usually attend full fid school in york']
[ "the spines are mixed with long soft hairs", "the spines are mixed with long softwares", "the spines are mixed with long soft hairs", "the spines are mixed with long softwares", "the spider mixed with long soft hairs" ]
the spines are mixed with long soft hairs
the spines are mixed with long soft hairs.
the spines are mixed with long softwares. the spines are mixed with long soft hairs. the spines are mixed with long softwares. the spider mixed with long soft hairs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the spines are mixed with long soft hairs', 'the spines are mixed with long softwares', 'the spines are mixed with long soft hairs', 'the spines are mixed with long softwares', 'the spider mixed with long soft hairs']
[ "downstream from the barrier of the cone is marked by navigation voice", "downstream from the barrier of the cone is marked by an navigation voice", "downstream from the barrier the cone is marked by navigation voice", "downscreen from the barrier of the cone is marked by navigation voice", "downstream from the barrier the cone is marked by an navigation voice" ]
downstream from the barrier the colne is marked by navigation buoys
downstream from the barrier of the cone is marked by navigation voice.
downstream from the barrier of the cone is marked by an navigation voice. downstream from the barrier the cone is marked by navigation voice. downscreen from the barrier of the cone is marked by navigation voice. downstream from the barrier the cone is marked by an navigation voice.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['downstream from the barrier of the cone is marked by navigation voice', 'downstream from the barrier of the cone is marked by an navigation voice', 'downstream from the barrier the cone is marked by navigation voice', 'downscreen from the barrier of the cone is marked by navigation voice', 'downstream from the barrier the cone is marked by an navigation voice']
[ "the mission presumably served as encouragement to the workers on that project", "the mission presumably serves as encouragement to the workers on that project", "the mission presumably serve as encouragement to the workers on that project", "the mission presumably served as an encouragement to the workers on that project", "the mission presumably serve as encouragement to the workers on that project" ]
the mission presumably served as encouragement to the workers on that project
the mission presumably served as encouragement to the workers on that project.
the mission presumably serves as encouragement to the workers on that project. the mission presumably serve as encouragement to the workers on that project. the mission presumably served as an encouragement to the workers on that project. the mission presumably serve as encouragement to the workers on that project.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mission presumably served as encouragement to the workers on that project', 'the mission presumably serves as encouragement to the workers on that project', 'the mission presumably serve as encouragement to the workers on that project', 'the mission presumably served as an encouragement to the workers on that project', 'the mission presumably serve as encouragement to the workers on that project']
[ "you also study astronomy and philosophy", "you will soon study astronomy and philosophy", "you will see study astronomy and philosophy", "you also study astronomy across the field", "you will see study astronomy in philosophy" ]
he also studied astronomy and philosophy
you also study astronomy and philosophy.
you will soon study astronomy and philosophy. you will see study astronomy and philosophy. you also study astronomy across the field. you will see study astronomy in philosophy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you also study astronomy and philosophy', 'you will soon study astronomy and philosophy', 'you will see study astronomy and philosophy', 'you also study astronomy across the field', 'you will see study astronomy in philosophy']
[ "telefunkin was later bought by the french electronics manufacturer thompson", "telefunkin was later bought by the french electronics manufacturer thompson", "telefunkin was later bought by the french electronics manufacturer thompson", "telefunken was later bought by the french electronics manufacturer thompson", "telefunkin was later bought by the french electronics manufacturer thompson" ]
telefunken was later bought by the french electronics manufacturer thomson
telefunkin was later bought by the french electronics manufacturer thompson.
telefunkin was later bought by the french electronics manufacturer thompson. telefunkin was later bought by the french electronics manufacturer thompson. telefunken was later bought by the french electronics manufacturer thompson. telefunkin was later bought by the french electronics manufacturer thompson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['telefunkin was later bought by the french electronics manufacturer thompson', 'telefunkin was later bought by the french electronics manufacturer thompson', 'telefunkin was later bought by the french electronics manufacturer thompson', 'telefunken was later bought by the french electronics manufacturer thompson', 'telefunkin was later bought by the french electronics manufacturer thompson']
[ "jennifer is born and raised in culver city california", "jennifer is born and raised in culvercity california", "jennifer is born and raised in culver city california", "genophus born and raised in culver city california", "jennifer is mom and raised in culver city california" ]
janoff was born and raised in culver city california
jennifer is born and raised in culver city california.
jennifer is born and raised in culvercity california. jennifer is born and raised in culver city california. genophus born and raised in culver city california. jennifer is mom and raised in culver city california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jennifer is born and raised in culver city california', 'jennifer is born and raised in culvercity california', 'jennifer is born and raised in culver city california', 'genophus born and raised in culver city california', 'jennifer is mom and raised in culver city california']
[ "surface erosion can expose such preserved materials", "surface erosion can expose such preserve materials", "surface erosion can expose such bizarre materials", "surface erosion can expose such preservative materials", "the surface erosion can expose such preserved materials" ]
surface erosion can expose such preserved materials
surface erosion can expose such preserved materials.
surface erosion can expose such preserve materials. surface erosion can expose such bizarre materials. surface erosion can expose such preservative materials. the surface erosion can expose such preserved materials.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['surface erosion can expose such preserved materials', 'surface erosion can expose such preserve materials', 'surface erosion can expose such bizarre materials', 'surface erosion can expose such preservative materials', 'the surface erosion can expose such preserved materials']
[ "logical positivism attempts to combine positivism with a version of a priorism", "logical positivism attempts to combine positivism with a version of a", "logical positivism attempts to combine positivism with a version of a priorism", "logical positivism attempts to combine positivism with a version of a priorism", "logical positivism attempts to combine positivism with a version of a priorism" ]
logical positivism attempts to combine positivism with a version of a priorism
logical positivism attempts to combine positivism with a version of a priorism.
logical positivism attempts to combine positivism with a version of a. logical positivism attempts to combine positivism with a version of a priorism. logical positivism attempts to combine positivism with a version of a priorism. logical positivism attempts to combine positivism with a version of a priorism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['logical positivism attempts to combine positivism with a version of a priorism', 'logical positivism attempts to combine positivism with a version of a', 'logical positivism attempts to combine positivism with a version of a priorism', 'logical positivism attempts to combine positivism with a version of a priorism', 'logical positivism attempts to combine positivism with a version of a priorism']
[ "hodgson participated as a mentor on canadian idol along with dennis deyoung", "hodgson participated as a mentor on canadian idol along with dennis diyong", "hodgson participated as a mentor on canadian idol along with dennis de jong", "hodgson participated as a mentor on canadian idol along with dennis de young", "hodgson participated as a mentor on canadian idol along with dennis diyong" ]
hodgson participated as a mentor on canadian idol along with dennis deyoung
hodgson participated as a mentor on canadian idol along with dennis deyoung.
hodgson participated as a mentor on canadian idol along with dennis diyong. hodgson participated as a mentor on canadian idol along with dennis de jong. hodgson participated as a mentor on canadian idol along with dennis de young. hodgson participated as a mentor on canadian idol along with dennis diyong.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hodgson participated as a mentor on canadian idol along with dennis deyoung', 'hodgson participated as a mentor on canadian idol along with dennis diyong', 'hodgson participated as a mentor on canadian idol along with dennis de jong', 'hodgson participated as a mentor on canadian idol along with dennis de young', 'hodgson participated as a mentor on canadian idol along with dennis diyong']
[ "frank wants to use them to rob people", "frank wants to use them to rob people", "frank wants to use them to rob people", "frank wants to use them to rob people", "frank wants to use them to rob people" ]
frank wants to use them to rob people
frank wants to use them to rob people.
frank wants to use them to rob people. frank wants to use them to rob people. frank wants to use them to rob people. frank wants to use them to rob people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['frank wants to use them to rob people', 'frank wants to use them to rob people', 'frank wants to use them to rob people', 'frank wants to use them to rob people', 'frank wants to use them to rob people']
[ "specifically collins refers to this as the construct of ditch autonomous oppositional difference", "specifically collins refers to this as the construct of ditch autonomous oppositional difference", "specifically collins refers to this as a construct of ditch autonomous oppositional difference", "specifically collins refers to this as the construct of dichotonymous oppositional difference", "specifically collins refers to this as the construct of ditch autonomous oppositional difference" ]
specifically collins refers to this as the construct of dichotomous oppositional difference
specifically collins refers to this as the construct of ditch autonomous oppositional difference.
specifically collins refers to this as the construct of ditch autonomous oppositional difference. specifically collins refers to this as a construct of ditch autonomous oppositional difference. specifically collins refers to this as the construct of dichotonymous oppositional difference. specifically collins refers to this as the construct of ditch autonomous oppositional difference.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['specifically collins refers to this as the construct of ditch autonomous oppositional difference', 'specifically collins refers to this as the construct of ditch autonomous oppositional difference', 'specifically collins refers to this as a construct of ditch autonomous oppositional difference', 'specifically collins refers to this as the construct of dichotonymous oppositional difference', 'specifically collins refers to this as the construct of ditch autonomous oppositional difference']
[ "the center of campus is known as the green", "the center of campus is known as the green", "the center of campus is known as the grain", "the center of campus is known as the greene", "the center of campus is known as the green" ]
the center of campus is known as the green
the center of campus is known as the green.
the center of campus is known as the green. the center of campus is known as the grain. the center of campus is known as the greene. the center of campus is known as the green.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the center of campus is known as the green', 'the center of campus is known as the green', 'the center of campus is known as the grain', 'the center of campus is known as the greene', 'the center of campus is known as the green']
[ "happy talk was created by our primer who also created the eyewitness news format", "happy talk was created by our primer who also created the eyewitnessness format", "happy talk was created by our primer who also created the eyewitness news format", "happy talk was created by our primary who also created the eyewitness news format", "happy talk was created by al prima who also created the eyewitness news format" ]
happy talk was created by al primo who also created the eyewitness news format
happy talk was created by our primer who also created the eyewitness news format.
happy talk was created by our primer who also created the eyewitnessness format. happy talk was created by our primer who also created the eyewitness news format. happy talk was created by our primary who also created the eyewitness news format. happy talk was created by al prima who also created the eyewitness news format.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['happy talk was created by our primer who also created the eyewitness news format', 'happy talk was created by our primer who also created the eyewitnessness format', 'happy talk was created by our primer who also created the eyewitness news format', 'happy talk was created by our primary who also created the eyewitness news format', 'happy talk was created by al prima who also created the eyewitness news format']
[ "the company is based in plymouth minnesota a suburb of minneapolis", "the company is based in plain mall minnesota a suburb of minneapolis", "the company is based in pline mall minnesota a suburb of minneapolis", "the company is based in playa mall minnesota a suburb of minneapolis", "the company is based in pliemau minnesota a suburb of minneapolis" ]
the company is based in plymouth minnesota a suburb of minneapolis
the company is based in plymouth minnesota a suburb of minneapolis.
the company is based in plain mall minnesota a suburb of minneapolis. the company is based in pline mall minnesota a suburb of minneapolis. the company is based in playa mall minnesota a suburb of minneapolis. the company is based in pliemau minnesota a suburb of minneapolis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company is based in plymouth minnesota a suburb of minneapolis', 'the company is based in plain mall minnesota a suburb of minneapolis', 'the company is based in pline mall minnesota a suburb of minneapolis', 'the company is based in playa mall minnesota a suburb of minneapolis', 'the company is based in pliemau minnesota a suburb of minneapolis']
[ "the film portrays the hopelessness of the merely class educated urban youth in modern india", "the film portrays the hopelessness of the merely class educated urban youth in modern india", "the film portrays the hopelessness of the middle class educated urban youth in modern india", "the film portrays the hopelessness of the merry class educated urban youth in modern india", "the film portrays the hopelessness of the merely class educated urban youth in modern india" ]
the film portrays the hopelessness of the middle class educated urban youth in modern india
the film portrays the hopelessness of the merely class educated urban youth in modern india.
the film portrays the hopelessness of the merely class educated urban youth in modern india. the film portrays the hopelessness of the middle class educated urban youth in modern india. the film portrays the hopelessness of the merry class educated urban youth in modern india. the film portrays the hopelessness of the merely class educated urban youth in modern india.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film portrays the hopelessness of the merely class educated urban youth in modern india', 'the film portrays the hopelessness of the merely class educated urban youth in modern india', 'the film portrays the hopelessness of the middle class educated urban youth in modern india', 'the film portrays the hopelessness of the merry class educated urban youth in modern india', 'the film portrays the hopelessness of the merely class educated urban youth in modern india']
[ "the tageliad does not even consistently use refrains", "the tag elied does not even consistently use refrains", "the tag aliad does not even consistently use refrains", "the tag eliod does not even consistently use refrains", "the tag alured does not even consistently use refrains" ]
the tagelied does not even consistently use refrains
the tageliad does not even consistently use refrains.
the tag elied does not even consistently use refrains. the tag aliad does not even consistently use refrains. the tag eliod does not even consistently use refrains. the tag alured does not even consistently use refrains.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tageliad does not even consistently use refrains', 'the tag elied does not even consistently use refrains', 'the tag aliad does not even consistently use refrains', 'the tag eliod does not even consistently use refrains', 'the tag alured does not even consistently use refrains']
[ "he was born in zurich", "it was born in zurich", "he was born and served", "he was born in zurich", "it was born and served" ]
he was born in zurich
he was born in zurich.
it was born in zurich. he was born and served. he was born in zurich. it was born and served.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was born in zurich', 'it was born in zurich', 'he was born and served', 'he was born in zurich', 'it was born and served']
[ "his younger brother patrick kiko is an awesome macroeconomic theorist", "his younger brother patrick kiko is also a macroeconomic theorist", "his younger brother patrick kiko is an awesome macroeconomic theorist", "his younger brother patrick kiko is also a macroeconomic theorist", "his younger brother patrick kiko is also a macroeconomic theorist" ]
his younger brother patrick kehoe is also a macroeconomic theorist
his younger brother patrick kiko is an awesome macroeconomic theorist.
his younger brother patrick kiko is also a macroeconomic theorist. his younger brother patrick kiko is an awesome macroeconomic theorist. his younger brother patrick kiko is also a macroeconomic theorist. his younger brother patrick kiko is also a macroeconomic theorist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his younger brother patrick kiko is an awesome macroeconomic theorist', 'his younger brother patrick kiko is also a macroeconomic theorist', 'his younger brother patrick kiko is an awesome macroeconomic theorist', 'his younger brother patrick kiko is also a macroeconomic theorist', 'his younger brother patrick kiko is also a macroeconomic theorist']
[ "the reformation of the active molybdenum center occurs by the addition of water", "the reformation of the active molybdenum center occurs by the addition of water", "the reformation of the active molybdenum center occurs by the addition of water", "the reformation of the active molybdenum center occurs by the addition of water", "the reformation of the active millibdenum center occurs by the addition of water" ]
the reformation of the active molybdenum center occurs by the addition of water
the reformation of the active molybdenum center occurs by the addition of water.
the reformation of the active molybdenum center occurs by the addition of water. the reformation of the active molybdenum center occurs by the addition of water. the reformation of the active molybdenum center occurs by the addition of water. the reformation of the active millibdenum center occurs by the addition of water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the reformation of the active molybdenum center occurs by the addition of water', 'the reformation of the active molybdenum center occurs by the addition of water', 'the reformation of the active molybdenum center occurs by the addition of water', 'the reformation of the active molybdenum center occurs by the addition of water', 'the reformation of the active millibdenum center occurs by the addition of water']
[ "this fifth suit was produced by a number of companies", "this fifth suit was produced by a number of companies", "this fifth suit was produced by a number of companies", "this fifth suit was produced by a number of companies", "this fifth suit was produced by a number of companies" ]
this fifth suit was produced by a number of companies
this fifth suit was produced by a number of companies.
this fifth suit was produced by a number of companies. this fifth suit was produced by a number of companies. this fifth suit was produced by a number of companies. this fifth suit was produced by a number of companies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this fifth suit was produced by a number of companies', 'this fifth suit was produced by a number of companies', 'this fifth suit was produced by a number of companies', 'this fifth suit was produced by a number of companies', 'this fifth suit was produced by a number of companies']
[ "those two are inoperable at the present time", "dostu are inoperable at the present time", "those two are inoperouble at the present time", "those two are inoperable at the present time", "those two are inoperable at the present time" ]
those two are inoperable at the present time
those two are inoperable at the present time.
dostu are inoperable at the present time. those two are inoperouble at the present time. those two are inoperable at the present time. those two are inoperable at the present time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['those two are inoperable at the present time', 'dostu are inoperable at the present time', 'those two are inoperouble at the present time', 'those two are inoperable at the present time', 'those two are inoperable at the present time']
[ "currently he holds the position of first vice president", "currently he holds the position of first vice president", "currently he holds the position of first vice president", "currently he holds the position of the first vice president", "currently he holds the position of first vice president" ]
currently he holds the position of first vice president
currently he holds the position of first vice president.
currently he holds the position of first vice president. currently he holds the position of first vice president. currently he holds the position of the first vice president. currently he holds the position of first vice president.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['currently he holds the position of first vice president', 'currently he holds the position of first vice president', 'currently he holds the position of first vice president', 'currently he holds the position of the first vice president', 'currently he holds the position of first vice president']
[ "meetings are held monday night and the entire student body is welcome to attend", "meetings are held monday night and the entire student body is welcome to attend", "meetings are held monday night and the entire student body is welcome to attend", "meetings are held monday night and the entire student body is welcome to attend", "meetings are held monday night and the entire student body is welcome to attend" ]
meetings are held monday nights and the entire student body is welcome to attend
meetings are held monday night and the entire student body is welcome to attend.
meetings are held monday night and the entire student body is welcome to attend. meetings are held monday night and the entire student body is welcome to attend. meetings are held monday night and the entire student body is welcome to attend. meetings are held monday night and the entire student body is welcome to attend.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['meetings are held monday night and the entire student body is welcome to attend', 'meetings are held monday night and the entire student body is welcome to attend', 'meetings are held monday night and the entire student body is welcome to attend', 'meetings are held monday night and the entire student body is welcome to attend', 'meetings are held monday night and the entire student body is welcome to attend']
[ "later in life he served as member of parliament for two or ten years", "later in life he served as member of parliament for two or ten", "later in life he served as member of parliament for october tenth", "later in life he served as member of parliament for two or ten", "later in life he served as member of parliament for october tenth" ]
later in life he served as member of parliament for tiverton
later in life he served as member of parliament for two or ten years.
later in life he served as member of parliament for two or ten. later in life he served as member of parliament for october tenth. later in life he served as member of parliament for two or ten. later in life he served as member of parliament for october tenth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later in life he served as member of parliament for two or ten years', 'later in life he served as member of parliament for two or ten', 'later in life he served as member of parliament for october tenth', 'later in life he served as member of parliament for two or ten', 'later in life he served as member of parliament for october tenth']
[ "in earlier times however builders were often sailors or seafaring men", "in earlier times however builders were often sailors or seafaring men", "in earlier times however builders were often sailors or sea faring men", "in earlier times however builders were often sailors or seafaring men", "in earlier times however builders were often sailors or seafaring men" ]
in earlier times however builders were often sailors or seafaring men
in earlier times however builders were often sailors or seafaring men.
in earlier times however builders were often sailors or seafaring men. in earlier times however builders were often sailors or sea faring men. in earlier times however builders were often sailors or seafaring men. in earlier times however builders were often sailors or seafaring men.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in earlier times however builders were often sailors or seafaring men', 'in earlier times however builders were often sailors or seafaring men', 'in earlier times however builders were often sailors or sea faring men', 'in earlier times however builders were often sailors or seafaring men', 'in earlier times however builders were often sailors or seafaring men']
[ "plans can use tie downs or hangers for parking", "plans can use tie dance or hangers for parking", "plans can use tydans or hangers for parking", "plants can use tie downs or hangers for parking", "plants can use tydans or hangers for parking" ]
planes can use tiedowns or hangars for parking
plans can use tie downs or hangers for parking.
plans can use tie dance or hangers for parking. plans can use tydans or hangers for parking. plants can use tie downs or hangers for parking. plants can use tydans or hangers for parking.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['plans can use tie downs or hangers for parking', 'plans can use tie dance or hangers for parking', 'plans can use tydans or hangers for parking', 'plants can use tie downs or hangers for parking', 'plants can use tydans or hangers for parking']
[ "the saskatchewan government then apologized for the wrongful conviction", "the saskatchewan government then apologized for the wrongful conviction", "the saskatchewan government then apologized for the wrongful conviction", "this saskatchewan government then apologized for the wrongful conviction", "the saskatchewan government then apologized for the wrongful conviction" ]
the saskatchewan government then apologized for the wrongful conviction
the saskatchewan government then apologized for the wrongful conviction.
the saskatchewan government then apologized for the wrongful conviction. the saskatchewan government then apologized for the wrongful conviction. this saskatchewan government then apologized for the wrongful conviction. the saskatchewan government then apologized for the wrongful conviction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the saskatchewan government then apologized for the wrongful conviction', 'the saskatchewan government then apologized for the wrongful conviction', 'the saskatchewan government then apologized for the wrongful conviction', 'this saskatchewan government then apologized for the wrongful conviction', 'the saskatchewan government then apologized for the wrongful conviction']
[ "jobs were moved to the deep south and later offshore", "the jobs were moved to the deep south and later offshore", "jobs were moved to the deep south and later offshore", "jobs were moved to the deep south and later off shore", "jobs were moved to deep south and later offshore" ]
jobs were moved to the deep south and later offshore
jobs were moved to the deep south and later offshore.
the jobs were moved to the deep south and later offshore. jobs were moved to the deep south and later offshore. jobs were moved to the deep south and later off shore. jobs were moved to deep south and later offshore.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jobs were moved to the deep south and later offshore', 'the jobs were moved to the deep south and later offshore', 'jobs were moved to the deep south and later offshore', 'jobs were moved to the deep south and later off shore', 'jobs were moved to deep south and later offshore']
[ "i remember augustus mentioning it in his speech", "i remember augustus mentioning it in his speech", "i remember augustus mentioning it in his speech", "i remember augustus mentioning it in his speech", "i remember augustus mentioning it in his speech" ]
i remember augustus mentioning it in his speech
i remember augustus mentioning it in his speech.
i remember augustus mentioning it in his speech. i remember augustus mentioning it in his speech. i remember augustus mentioning it in his speech. i remember augustus mentioning it in his speech.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i remember augustus mentioning it in his speech', 'i remember augustus mentioning it in his speech', 'i remember augustus mentioning it in his speech', 'i remember augustus mentioning it in his speech', 'i remember augustus mentioning it in his speech']
[ "so when the opportunity came to join a girl group i was studying", "so when the opportunity comes to join a girl group i was studying", "so when the opportunity came to join a girl group i was studying", "so when the opportunity comes to join a girl group i was studying", "so when the opportunity to join a girl group i was studying" ]
so when the opportunity came to join a girl group i was ready
so when the opportunity came to join a girl group i was studying.
so when the opportunity comes to join a girl group i was studying. so when the opportunity came to join a girl group i was studying. so when the opportunity comes to join a girl group i was studying. so when the opportunity to join a girl group i was studying.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so when the opportunity came to join a girl group i was studying', 'so when the opportunity comes to join a girl group i was studying', 'so when the opportunity came to join a girl group i was studying', 'so when the opportunity comes to join a girl group i was studying', 'so when the opportunity to join a girl group i was studying']
[ "bastien thierry was the last person to be executed by firing squad in france", "bastion theory was the last person to be executed by firing squad in france", "bastion theory was the last person to be executed by firing squad in france", "bastien thierry was the last person to be executed by firing squad in france", "bastien thierry was the last person to be executed by firing squad in france" ]
bastien thiry was the last person to be executed by firing squad in france
bastien thierry was the last person to be executed by firing squad in france.
bastion theory was the last person to be executed by firing squad in france. bastion theory was the last person to be executed by firing squad in france. bastien thierry was the last person to be executed by firing squad in france. bastien thierry was the last person to be executed by firing squad in france.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bastien thierry was the last person to be executed by firing squad in france', 'bastion theory was the last person to be executed by firing squad in france', 'bastion theory was the last person to be executed by firing squad in france', 'bastien thierry was the last person to be executed by firing squad in france', 'bastien thierry was the last person to be executed by firing squad in france']
[ "mass spectrometry is an alarmical technique that measures the mass to charge ratio of molecules", "mass spectrometry is an analytical technique that measures the mass to charge ratio of molecules", "mass spectrometry is an electrical technique that measures the mass to charge ratio of molecules", "mass spectrometry is an alarm electrical technique that measures the mass to charge ratio of molecules", "mass petrometry is an alarmical technique that measures the mass to charge ratio of molecules" ]
mass spectrometry is an analytical technique that measures the mass to charge ratio of molecules
mass spectrometry is an alarmical technique that measures the mass to charge ratio of molecules.
mass spectrometry is an analytical technique that measures the mass to charge ratio of molecules. mass spectrometry is an electrical technique that measures the mass to charge ratio of molecules. mass spectrometry is an alarm electrical technique that measures the mass to charge ratio of molecules. mass petrometry is an alarmical technique that measures the mass to charge ratio of molecules.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mass spectrometry is an alarmical technique that measures the mass to charge ratio of molecules', 'mass spectrometry is an analytical technique that measures the mass to charge ratio of molecules', 'mass spectrometry is an electrical technique that measures the mass to charge ratio of molecules', 'mass spectrometry is an alarm electrical technique that measures the mass to charge ratio of molecules', 'mass petrometry is an alarmical technique that measures the mass to charge ratio of molecules']
[ "razial is the central character in general archeswood is point pleasant", "razial is the central character in jen archeswood is point pleasant", "razial is the central character in jan archeswood is point pleasant", "razial is the central character in jan archeswood is point pleasant", "razial is the central character in general archeswood is point pleasant" ]
raziel is a central character in jen archer wood is point pleasant
razial is the central character in general archeswood is point pleasant.
razial is the central character in jen archeswood is point pleasant. razial is the central character in jan archeswood is point pleasant. razial is the central character in jan archeswood is point pleasant. razial is the central character in general archeswood is point pleasant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['razial is the central character in general archeswood is point pleasant', 'razial is the central character in jen archeswood is point pleasant', 'razial is the central character in jan archeswood is point pleasant', 'razial is the central character in jan archeswood is point pleasant', 'razial is the central character in general archeswood is point pleasant']
[ "but we can cause one to evolve", "but we can cause one to evolve", "that we can cause one to evolve", "but we can cause one to evolve", "but we can cause one to evolve" ]
but we can cause one to evolve
but we can cause one to evolve.
but we can cause one to evolve. that we can cause one to evolve. but we can cause one to evolve. but we can cause one to evolve.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but we can cause one to evolve', 'but we can cause one to evolve', 'that we can cause one to evolve', 'but we can cause one to evolve', 'but we can cause one to evolve']
[ "when she saw her skeleton she exclaimed i have seen my death", "when she saw her skeleton she exclaimed i have seen my death", "when she saw her skeleton she exclaimed i have seen my death", "when she saw her skeleton she exclaimed i have seen my death", "when she saw her skeleton she exclaimed i have seen my death" ]
when she saw her skeleton she exclaimed i have seen my death
when she saw her skeleton she exclaimed i have seen my death.
when she saw her skeleton she exclaimed i have seen my death. when she saw her skeleton she exclaimed i have seen my death. when she saw her skeleton she exclaimed i have seen my death. when she saw her skeleton she exclaimed i have seen my death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when she saw her skeleton she exclaimed i have seen my death', 'when she saw her skeleton she exclaimed i have seen my death', 'when she saw her skeleton she exclaimed i have seen my death', 'when she saw her skeleton she exclaimed i have seen my death', 'when she saw her skeleton she exclaimed i have seen my death']
[ "since hitler survived and the conspirators were somewhat in bad they were quickly exposed", "since hitler survived and the conspirators were somewhat in bed they were quickly exposed", "since hitler survived and the conspirators were somewhat in bad they were quickly exports", "since hitler survived and the conspirators were somewhat in bed they were quickly exposed", "since hitler survived and the conspirators were somewhat in bad they were quickly exposed" ]
since hitler survived and the conspirators were somewhat inept they were quickly exposed
since hitler survived and the conspirators were somewhat in bad they were quickly exposed.
since hitler survived and the conspirators were somewhat in bed they were quickly exposed. since hitler survived and the conspirators were somewhat in bad they were quickly exports. since hitler survived and the conspirators were somewhat in bed they were quickly exposed. since hitler survived and the conspirators were somewhat in bad they were quickly exposed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since hitler survived and the conspirators were somewhat in bad they were quickly exposed', 'since hitler survived and the conspirators were somewhat in bed they were quickly exposed', 'since hitler survived and the conspirators were somewhat in bad they were quickly exports', 'since hitler survived and the conspirators were somewhat in bed they were quickly exposed', 'since hitler survived and the conspirators were somewhat in bad they were quickly exposed']
[ "question danna benefited from retirement ahead of him to take fourth place for real", "question dana benefited from retirements ahead of him to take fourth place for real", "question danna benefited from retirements ahead of him to take fourth place for real", "question dana benefited from retirement ahead of him to take fourth place for real", "question danna benefited from retirement ahead of him to take fourth place for real" ]
christian danner benefited from retirements ahead of him to take fourth place for rial
question danna benefited from retirement ahead of him to take fourth place for real.
question dana benefited from retirements ahead of him to take fourth place for real. question danna benefited from retirements ahead of him to take fourth place for real. question dana benefited from retirement ahead of him to take fourth place for real. question danna benefited from retirement ahead of him to take fourth place for real.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['question danna benefited from retirement ahead of him to take fourth place for real', 'question dana benefited from retirements ahead of him to take fourth place for real', 'question danna benefited from retirements ahead of him to take fourth place for real', 'question dana benefited from retirement ahead of him to take fourth place for real', 'question danna benefited from retirement ahead of him to take fourth place for real']
[ "the relation between chevaly groups stainless group and regroups is roughly as follows", "the relation between chevaly groups stainless groups and regroups is roughly as follows", "the relation between chevaly groups stainable groups and regroups is roughly as follows", "the relation between chevaly groups stain book group and regroups is roughly as follows", "the relation between chevaly groups stainable group and regroups is roughly as follows" ]
the relation between chevalley groups steinberg group and ree groups is roughly as follows
the relation between chevaly groups stainless group and regroups is roughly as follows.
the relation between chevaly groups stainless groups and regroups is roughly as follows. the relation between chevaly groups stainable groups and regroups is roughly as follows. the relation between chevaly groups stain book group and regroups is roughly as follows. the relation between chevaly groups stainable group and regroups is roughly as follows.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the relation between chevaly groups stainless group and regroups is roughly as follows', 'the relation between chevaly groups stainless groups and regroups is roughly as follows', 'the relation between chevaly groups stainable groups and regroups is roughly as follows', 'the relation between chevaly groups stain book group and regroups is roughly as follows', 'the relation between chevaly groups stainable group and regroups is roughly as follows']
[ "the ammonia interconversion is rapid at room temperature", "the ammonia interconversion is rapid at room temperature", "desmonia interconversion is rapid at room temperature", "the ammonia interconversion is rapid at room temperature", "the ammonia interconversion is rapid at room temperature" ]
the ammonia interconversion is rapid at room temperature
the ammonia interconversion is rapid at room temperature.
the ammonia interconversion is rapid at room temperature. desmonia interconversion is rapid at room temperature. the ammonia interconversion is rapid at room temperature. the ammonia interconversion is rapid at room temperature.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ammonia interconversion is rapid at room temperature', 'the ammonia interconversion is rapid at room temperature', 'desmonia interconversion is rapid at room temperature', 'the ammonia interconversion is rapid at room temperature', 'the ammonia interconversion is rapid at room temperature']
[ "wheeler is force retired", "wheeler is force retired", "wheelers force retired", "wheeler is fours retired", "wheeler is force retired" ]
wheeler is force retired
wheeler is force retired.
wheeler is force retired. wheelers force retired. wheeler is fours retired. wheeler is force retired.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wheeler is force retired', 'wheeler is force retired', 'wheelers force retired', 'wheeler is fours retired', 'wheeler is force retired']
[ "film director victor ails was warned that", "film director victor ailes was warned that", "the film director is victor l is was warned that", "film director victor l is was warned that", "the film director is victor ails was warned that" ]
film director victor erice was born there
film director victor ails was warned that.
film director victor ailes was warned that. the film director is victor l is was warned that. film director victor l is was warned that. the film director is victor ails was warned that.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['film director victor ails was warned that', 'film director victor ailes was warned that', 'the film director is victor l is was warned that', 'film director victor l is was warned that', 'the film director is victor ails was warned that']
[ "it is now held in the british library", "it is now hailed in the british library", "it is now held in the british library", "it is now held in the british library", "it is now held in the british library" ]
it is now held in the british library
it is now held in the british library.
it is now hailed in the british library. it is now held in the british library. it is now held in the british library. it is now held in the british library.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is now held in the british library', 'it is now hailed in the british library', 'it is now held in the british library', 'it is now held in the british library', 'it is now held in the british library']
[ "following his discharge he remained in the united states and became a naturalist citizen", "following his discharge he remained in the united states and became a naturalist citizen", "following his discharge he remained in the united states and became a naturalist citizen", "following his discharge he remained in the united states and became a naturalist citizen", "following his discharge he remained in the united states and became a naturalist citizen" ]
following his discharge he remained in the united states and became a naturalized citizen
following his discharge he remained in the united states and became a naturalist citizen.
following his discharge he remained in the united states and became a naturalist citizen. following his discharge he remained in the united states and became a naturalist citizen. following his discharge he remained in the united states and became a naturalist citizen. following his discharge he remained in the united states and became a naturalist citizen.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['following his discharge he remained in the united states and became a naturalist citizen', 'following his discharge he remained in the united states and became a naturalist citizen', 'following his discharge he remained in the united states and became a naturalist citizen', 'following his discharge he remained in the united states and became a naturalist citizen', 'following his discharge he remained in the united states and became a naturalist citizen']
[ "the green mountain was rescued baker and returned him to his family", "the green mountain was rescued baker and returned him to his family", "the green mountain was rescued byker and returned him to his family", "the green mountain was rescued byker and returned him to his family", "the green mountain was rescued byker and returned him to his family" ]
the green mountain boys rescued baker and returned him to his family
the green mountain was rescued baker and returned him to his family.
the green mountain was rescued baker and returned him to his family. the green mountain was rescued byker and returned him to his family. the green mountain was rescued byker and returned him to his family. the green mountain was rescued byker and returned him to his family.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the green mountain was rescued baker and returned him to his family', 'the green mountain was rescued baker and returned him to his family', 'the green mountain was rescued byker and returned him to his family', 'the green mountain was rescued byker and returned him to his family', 'the green mountain was rescued byker and returned him to his family']