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[ "gale also earns a large print publishes christian a large print and wheel publishing", "gale also earns a large print publishes christian a large print and wheel publishing", "gail also earns a large print publishes christian a large print and wheel publishing", "gail also earns a large print publishes christian a large print and wheel publishing", "gale also earns a large print publishes christian a large print and wheel publishing" ]
gale also owns large print publishers christian large print and wheeler publishing
gale also earns a large print publishes christian a large print and wheel publishing.
gale also earns a large print publishes christian a large print and wheel publishing. gail also earns a large print publishes christian a large print and wheel publishing. gail also earns a large print publishes christian a large print and wheel publishing. gale also earns a large print publishes christian a large print and wheel publishing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gale also earns a large print publishes christian a large print and wheel publishing', 'gale also earns a large print publishes christian a large print and wheel publishing', 'gail also earns a large print publishes christian a large print and wheel publishing', 'gail also earns a large print publishes christian a large print and wheel publishing', 'gale also earns a large print publishes christian a large print and wheel publishing']
[ "the sun defended successfully", "this time defended successfully", "the sun defended successfully", "this time defended successfully", "the stand defended successfully" ]
the son defended successfully
the sun defended successfully.
this time defended successfully. the sun defended successfully. this time defended successfully. the stand defended successfully.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sun defended successfully', 'this time defended successfully', 'the sun defended successfully', 'this time defended successfully', 'the stand defended successfully']
[ "the work has such amenities as big nicking areas and youth camping", "the work has such amenities as picnicking areas and euth camping", "the work has such amenities as picnicking areas and youth camping", "the work has such amenities and speaking areas and youth camping", "the work has such amenities as big nicking areas and euth camping" ]
the park has such amenities as picnicking areas and youth camping
the work has such amenities as big nicking areas and youth camping.
the work has such amenities as picnicking areas and euth camping. the work has such amenities as picnicking areas and youth camping. the work has such amenities and speaking areas and youth camping. the work has such amenities as big nicking areas and euth camping.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the work has such amenities as big nicking areas and youth camping', 'the work has such amenities as picnicking areas and euth camping', 'the work has such amenities as picnicking areas and youth camping', 'the work has such amenities and speaking areas and youth camping', 'the work has such amenities as big nicking areas and euth camping']
[ "it came from sensory", "it came from sensory", "it came from sensory", "it came from the sensory", "it came from sensory" ]
it came from chancery
it came from sensory.
it came from sensory. it came from sensory. it came from the sensory. it came from sensory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it came from sensory', 'it came from sensory', 'it came from sensory', 'it came from the sensory', 'it came from sensory']
[ "hunter started playing the fiddle when he was seven years old", "hunter started playing the fiddle when he was seven years old", "hunter started playing the fiddle when he was seven years old", "hunter started playing the fiddle when he was seven years old", "hunter started playing the fiddle when he was seven years old" ]
hunter started playing the fiddle when he was seven years old
hunter started playing the fiddle when he was seven years old.
hunter started playing the fiddle when he was seven years old. hunter started playing the fiddle when he was seven years old. hunter started playing the fiddle when he was seven years old. hunter started playing the fiddle when he was seven years old.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hunter started playing the fiddle when he was seven years old', 'hunter started playing the fiddle when he was seven years old', 'hunter started playing the fiddle when he was seven years old', 'hunter started playing the fiddle when he was seven years old', 'hunter started playing the fiddle when he was seven years old']
[ "however the installed disks that ship with intel based macs only contain intel binaries", "however the installed disks that ship with intel based max only contain intel binaries", "however the installed disks that ship with intel based max only contain intel binaries", "however the installed disks that ship with intel based max only contain intel binaries", "however the installed disks that ship with intel based macs only contain intel binaries" ]
however the install disks that ship with intel based macs only contain intel binaries
however the installed disks that ship with intel based macs only contain intel binaries.
however the installed disks that ship with intel based max only contain intel binaries. however the installed disks that ship with intel based max only contain intel binaries. however the installed disks that ship with intel based max only contain intel binaries. however the installed disks that ship with intel based macs only contain intel binaries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the installed disks that ship with intel based macs only contain intel binaries', 'however the installed disks that ship with intel based max only contain intel binaries', 'however the installed disks that ship with intel based max only contain intel binaries', 'however the installed disks that ship with intel based max only contain intel binaries', 'however the installed disks that ship with intel based macs only contain intel binaries']
[ "a man in a business suit walking on the sidewalk", "a man in a business suit walking on the sidewalk", "a man in a business suit walking on the sidewalk", "a man in a business suit walking on the sidewalk", "a man in the business suit walking on the sidewalk" ]
a man in a business suit walking on the sidewalk
a man in a business suit walking on the sidewalk.
a man in a business suit walking on the sidewalk. a man in a business suit walking on the sidewalk. a man in a business suit walking on the sidewalk. a man in the business suit walking on the sidewalk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man in a business suit walking on the sidewalk', 'a man in a business suit walking on the sidewalk', 'a man in a business suit walking on the sidewalk', 'a man in a business suit walking on the sidewalk', 'a man in the business suit walking on the sidewalk']
[ "the origin of the town is unusual name is not known", "the origin of the town is unusual name is not known", "the origin of the town is unusual name is not known", "the origin of the town is unusual name is not known", "the origin of the town is unusual name is not known" ]
the origin of the town is unusual name is not known
the origin of the town is unusual name is not known.
the origin of the town is unusual name is not known. the origin of the town is unusual name is not known. the origin of the town is unusual name is not known. the origin of the town is unusual name is not known.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the origin of the town is unusual name is not known', 'the origin of the town is unusual name is not known', 'the origin of the town is unusual name is not known', 'the origin of the town is unusual name is not known', 'the origin of the town is unusual name is not known']
[ "both have rich adglotinated morphology and are strictly head final", "both have rich adglutinative morphology and are strictly head final", "both have rich adjuvanted morphology and are strictly head final", "both have rich adglutinated morphology and are strictly head final", "both have rich adglotinated morphology and are strictly head fine" ]
both have rich agglutinative morphology and are strictly head final
both have rich adglotinated morphology and are strictly head final.
both have rich adglutinative morphology and are strictly head final. both have rich adjuvanted morphology and are strictly head final. both have rich adglutinated morphology and are strictly head final. both have rich adglotinated morphology and are strictly head fine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both have rich adglotinated morphology and are strictly head final', 'both have rich adglutinative morphology and are strictly head final', 'both have rich adjuvanted morphology and are strictly head final', 'both have rich adglutinated morphology and are strictly head final', 'both have rich adglotinated morphology and are strictly head fine']
[ "the next year the california highway commission declined to have the campo road improved", "the next year the california highway commission declined to have the camp or road improved", "the next year the california highway commission declined to have the campo road improved", "the next year the california highway commission declined to have to come for road improved", "the next year the california highway commission declined to have the campo road improved" ]
the next year the california highway commission declined to have the campo road improved
the next year the california highway commission declined to have the campo road improved.
the next year the california highway commission declined to have the camp or road improved. the next year the california highway commission declined to have the campo road improved. the next year the california highway commission declined to have to come for road improved. the next year the california highway commission declined to have the campo road improved.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next year the california highway commission declined to have the campo road improved', 'the next year the california highway commission declined to have the camp or road improved', 'the next year the california highway commission declined to have the campo road improved', 'the next year the california highway commission declined to have to come for road improved', 'the next year the california highway commission declined to have the campo road improved']
[ "stashevite usually sits as small rounded gravels in the matrix of other midrules", "stashevite usually sits as small rounded gravels in a matrix of other midrules", "staschovite usually sits as small rounded gravels in the matrix of other midrules", "steshavite usually sits as small rounded gravels in the matrix of other midrules", "stashevite usually sits as small rounded gravels in the matrix of other mid rules" ]
stishovite usually sits as small rounded gravels in a matrix of other minerals
stashevite usually sits as small rounded gravels in the matrix of other midrules.
stashevite usually sits as small rounded gravels in a matrix of other midrules. staschovite usually sits as small rounded gravels in the matrix of other midrules. steshavite usually sits as small rounded gravels in the matrix of other midrules. stashevite usually sits as small rounded gravels in the matrix of other mid rules.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stashevite usually sits as small rounded gravels in the matrix of other midrules', 'stashevite usually sits as small rounded gravels in a matrix of other midrules', 'staschovite usually sits as small rounded gravels in the matrix of other midrules', 'steshavite usually sits as small rounded gravels in the matrix of other midrules', 'stashevite usually sits as small rounded gravels in the matrix of other mid rules']
[ "wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished", "wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished", "wolf is stance style is highly admired by many sources easily recognizable and exceptionally distinguished", "wolf is stands style is highly admired by many sources easily recognizable and exceptionally distinguished", "wolf is stand style is highly admired by many sources easily recognizable and exceptionally distinguished" ]
wulfstan is style is highly admired by many sources easily recognizable and exceptionally distinguished
wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished.
wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished. wolf is stance style is highly admired by many sources easily recognizable and exceptionally distinguished. wolf is stands style is highly admired by many sources easily recognizable and exceptionally distinguished. wolf is stand style is highly admired by many sources easily recognizable and exceptionally distinguished.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished', 'wolfstand is style is highly admired by many sources easily recognizable and exceptionally distinguished', 'wolf is stance style is highly admired by many sources easily recognizable and exceptionally distinguished', 'wolf is stands style is highly admired by many sources easily recognizable and exceptionally distinguished', 'wolf is stand style is highly admired by many sources easily recognizable and exceptionally distinguished']
[ "its appearance is more cursive than shavian", "its appearance is more cursive than shavient", "its appearance is more cursive than shabien", "its appearance is more cursive than shavian", "it is appearance is more cursive than shavian" ]
its appearance is more cursive than shavian
its appearance is more cursive than shavian.
its appearance is more cursive than shavient. its appearance is more cursive than shabien. its appearance is more cursive than shavian. it is appearance is more cursive than shavian.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its appearance is more cursive than shavian', 'its appearance is more cursive than shavient', 'its appearance is more cursive than shabien', 'its appearance is more cursive than shavian', 'it is appearance is more cursive than shavian']
[ "another national park on the vellabit is puccanecia on its southern side", "another national park on the vellabit is parcanesia on its southern side", "another national park on the vellabit is pachanesia on its southern side", "another national park on the vellabit is parcanesia on its southern side", "another national park on the vellabit is park anicia on its southern side" ]
another national park on velebit is the paklenica on its southern side
another national park on the vellabit is puccanecia on its southern side.
another national park on the vellabit is parcanesia on its southern side. another national park on the vellabit is pachanesia on its southern side. another national park on the vellabit is parcanesia on its southern side. another national park on the vellabit is park anicia on its southern side.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another national park on the vellabit is puccanecia on its southern side', 'another national park on the vellabit is parcanesia on its southern side', 'another national park on the vellabit is pachanesia on its southern side', 'another national park on the vellabit is parcanesia on its southern side', 'another national park on the vellabit is park anicia on its southern side']
[ "the myth and all characterized by resistance against conformality convictions and consumerism", "the myth and all characterize by resistance against conformality convictions and consumerism", "the myth and all characterized by resistance against conformality convictions and consumerism", "the myth and all characterized by resistance against conformality convictions and consumerism", "the myth and all characterizes by resistance against conformality convictions and consumerism" ]
the movement was characterized by resistance against conformity conventions and consumerism
the myth and all characterized by resistance against conformality convictions and consumerism.
the myth and all characterize by resistance against conformality convictions and consumerism. the myth and all characterized by resistance against conformality convictions and consumerism. the myth and all characterized by resistance against conformality convictions and consumerism. the myth and all characterizes by resistance against conformality convictions and consumerism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the myth and all characterized by resistance against conformality convictions and consumerism', 'the myth and all characterize by resistance against conformality convictions and consumerism', 'the myth and all characterized by resistance against conformality convictions and consumerism', 'the myth and all characterized by resistance against conformality convictions and consumerism', 'the myth and all characterizes by resistance against conformality convictions and consumerism']
[ "it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna", "it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna", "it stars gillian anderson robert carlyle sean mcginley ken stott and tyrone mckenna", "it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna", "it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna" ]
it stars gillian anderson robert carlyle sean mcginley ken stott and tyrone mckenna
it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna.
it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna. it stars gillian anderson robert carlyle sean mcginley ken stott and tyrone mckenna. it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna. it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna', 'it stars gillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna', 'it stars gillian anderson robert carlyle sean mcginley ken stott and tyrone mckenna', 'it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna', 'it stars jillian anderson robert carlisle sean mcginley ken stott and tyrone mckenna']
[ "i do not sing very well i will try about it", "i do not seem very well i will try about it", "i do not sing very well i will try about it", "i do not think very well i will try about it", "i do not think very well i will try about it" ]
i do not sing very well i was shy about it
i do not sing very well i will try about it.
i do not seem very well i will try about it. i do not sing very well i will try about it. i do not think very well i will try about it. i do not think very well i will try about it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i do not sing very well i will try about it', 'i do not seem very well i will try about it', 'i do not sing very well i will try about it', 'i do not think very well i will try about it', 'i do not think very well i will try about it']
[ "lama edited the collected works of george stokes james thompson and william thompson", "lana edited the collected works of george stokes james thompson and william thompson", "lama edited the collected works of george stokes james thompson and william thompson", "lama edited the collected works of george stokes james thompson and william thompson", "lama edited the collected works of george stocks james thompson and william thompson" ]
larmor edited the collected works of george stokes james thomson and william thomson
lama edited the collected works of george stokes james thompson and william thompson.
lana edited the collected works of george stokes james thompson and william thompson. lama edited the collected works of george stokes james thompson and william thompson. lama edited the collected works of george stokes james thompson and william thompson. lama edited the collected works of george stocks james thompson and william thompson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lama edited the collected works of george stokes james thompson and william thompson', 'lana edited the collected works of george stokes james thompson and william thompson', 'lama edited the collected works of george stokes james thompson and william thompson', 'lama edited the collected works of george stokes james thompson and william thompson', 'lama edited the collected works of george stocks james thompson and william thompson']
[ "the two compartments are separated by the iron pronged wool membrane", "the two compartments are separated by the iron primed wool membrane", "the two compartments are separated by the iron prone wool membrane", "the two compartments are separated by the iron pronged wall membrane", "the two compartments are separated by the iron pronged wall membrane" ]
the two compartments are separated by an ion permeable membrane
the two compartments are separated by the iron pronged wool membrane.
the two compartments are separated by the iron primed wool membrane. the two compartments are separated by the iron prone wool membrane. the two compartments are separated by the iron pronged wall membrane. the two compartments are separated by the iron pronged wall membrane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two compartments are separated by the iron pronged wool membrane', 'the two compartments are separated by the iron primed wool membrane', 'the two compartments are separated by the iron prone wool membrane', 'the two compartments are separated by the iron pronged wall membrane', 'the two compartments are separated by the iron pronged wall membrane']
[ "differentials provide a simple way to understand the total derivative", "the freshers provide a simple way to understand the total derivative", "differentials provide a simple way to understand the total derivative", "differences provide a simple way to understand the total derivative", "the freshers provide a simple way to understand the total derivative" ]
differentials provide a simple way to understand the total derivative
differentials provide a simple way to understand the total derivative.
the freshers provide a simple way to understand the total derivative. differentials provide a simple way to understand the total derivative. differences provide a simple way to understand the total derivative. the freshers provide a simple way to understand the total derivative.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['differentials provide a simple way to understand the total derivative', 'the freshers provide a simple way to understand the total derivative', 'differentials provide a simple way to understand the total derivative', 'differences provide a simple way to understand the total derivative', 'the freshers provide a simple way to understand the total derivative']
[ "it also has a music school", "it also has a music school", "it also has a music school", "it also has a music school", "it also has a music school" ]
it also has a music school
it also has a music school.
it also has a music school. it also has a music school. it also has a music school. it also has a music school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also has a music school', 'it also has a music school', 'it also has a music school', 'it also has a music school', 'it also has a music school']
[ "bruce savage works with the baltimore country police athletics league kids programs", "bruce savage works with the baltimore country police athletics league kids programs", "bruce savage works with the baltimore country police athletics league kids programs", "bruceovich works with the baltimore country police athletics league kids programs", "bruce savage works with the baltimore country police athletics league kids programs" ]
peruzovic works with the baltimore county police athletic league kids programs
bruce savage works with the baltimore country police athletics league kids programs.
bruce savage works with the baltimore country police athletics league kids programs. bruce savage works with the baltimore country police athletics league kids programs. bruceovich works with the baltimore country police athletics league kids programs. bruce savage works with the baltimore country police athletics league kids programs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bruce savage works with the baltimore country police athletics league kids programs', 'bruce savage works with the baltimore country police athletics league kids programs', 'bruce savage works with the baltimore country police athletics league kids programs', 'bruceovich works with the baltimore country police athletics league kids programs', 'bruce savage works with the baltimore country police athletics league kids programs']
[ "however they self identify as tibetans", "however they self identify as tibetans", "however they self identify as tibetans", "however they self identified as tibetans", "however they self identify as tibetans" ]
however they self identify as tibetans
however they self identify as tibetans.
however they self identify as tibetans. however they self identify as tibetans. however they self identified as tibetans. however they self identify as tibetans.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however they self identify as tibetans', 'however they self identify as tibetans', 'however they self identify as tibetans', 'however they self identified as tibetans', 'however they self identify as tibetans']
[ "the county continues to operate the facility as the william b high league field", "the county continues to operate the facility as the william b highlig field", "the county continues to operate the facility as the william b highleague field", "the county continues to operate the facility as the william b high league field", "the county continues to operate the facility as the william b high league field" ]
the county continues to operate the facility as the william b heilig field
the county continues to operate the facility as the william b high league field.
the county continues to operate the facility as the william b highlig field. the county continues to operate the facility as the william b highleague field. the county continues to operate the facility as the william b high league field. the county continues to operate the facility as the william b high league field.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the county continues to operate the facility as the william b high league field', 'the county continues to operate the facility as the william b highlig field', 'the county continues to operate the facility as the william b highleague field', 'the county continues to operate the facility as the william b high league field', 'the county continues to operate the facility as the william b high league field']
[ "a portion of this film was shot in stamford connecticut", "a portion of this film was shot in stanford connecticut", "a portion of this film was shot in stamford connectiquet", "a portion of this film was shot in stamford connecticat", "a portion of this film was shot in stamford connecticut" ]
a portion of this film was shot in stamford connecticut
a portion of this film was shot in stamford connecticut.
a portion of this film was shot in stanford connecticut. a portion of this film was shot in stamford connectiquet. a portion of this film was shot in stamford connecticat. a portion of this film was shot in stamford connecticut.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a portion of this film was shot in stamford connecticut', 'a portion of this film was shot in stanford connecticut', 'a portion of this film was shot in stamford connectiquet', 'a portion of this film was shot in stamford connecticat', 'a portion of this film was shot in stamford connecticut']
[ "the kalian rail inhabits kalian island in the philippines", "the callian rail inhabits callian island in the philippines", "the kalian rail inhabits kalian islands in the philippines", "the kallien rail inhabits kallien island in the philippines", "the kallion rail inhabits kallion island in the philippines" ]
the calayan rail inhabits calayan island in the philippines
the kalian rail inhabits kalian island in the philippines.
the callian rail inhabits callian island in the philippines. the kalian rail inhabits kalian islands in the philippines. the kallien rail inhabits kallien island in the philippines. the kallion rail inhabits kallion island in the philippines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the kalian rail inhabits kalian island in the philippines', 'the callian rail inhabits callian island in the philippines', 'the kalian rail inhabits kalian islands in the philippines', 'the kallien rail inhabits kallien island in the philippines', 'the kallion rail inhabits kallion island in the philippines']
[ "these included the middle east and north africa south asia and southeast asia", "these included the middle east and north africa south asia and southeast asia", "these included the middle east and north africa south asia and south east asia", "these included the middle east and north africa south asia and southeast asia", "these included the middle east and north africa south asia and south east asia" ]
these included the middle east and north africa south asia and southeast asia
these included the middle east and north africa south asia and southeast asia.
these included the middle east and north africa south asia and southeast asia. these included the middle east and north africa south asia and south east asia. these included the middle east and north africa south asia and southeast asia. these included the middle east and north africa south asia and south east asia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these included the middle east and north africa south asia and southeast asia', 'these included the middle east and north africa south asia and southeast asia', 'these included the middle east and north africa south asia and south east asia', 'these included the middle east and north africa south asia and southeast asia', 'these included the middle east and north africa south asia and south east asia']
[ "it was a distant relative of poet sydney elenia and writer thomas elenia williams", "it was a distant relative of poet sydney elenio and writer thomas elenio williams", "it was a distant relative of poet sidney elenia and writer thomas elenia williams", "it was a distant relative of poet sydney elenia and writer thomas elenia williams", "it was a distant relative of poet sydney elenio and writer thomas elenio williams" ]
he was a distant relative of poet sidney lanier and writer thomas lanier williams
it was a distant relative of poet sydney elenia and writer thomas elenia williams.
it was a distant relative of poet sydney elenio and writer thomas elenio williams. it was a distant relative of poet sidney elenia and writer thomas elenia williams. it was a distant relative of poet sydney elenia and writer thomas elenia williams. it was a distant relative of poet sydney elenio and writer thomas elenio williams.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a distant relative of poet sydney elenia and writer thomas elenia williams', 'it was a distant relative of poet sydney elenio and writer thomas elenio williams', 'it was a distant relative of poet sidney elenia and writer thomas elenia williams', 'it was a distant relative of poet sydney elenia and writer thomas elenia williams', 'it was a distant relative of poet sydney elenio and writer thomas elenio williams']
[ "the bullying is now considered architecturally notable and has been restored", "the bowling is now considered architecturally notable and has been restored", "the building is now considered architecturally notable and has been restored", "the bulling is now considered architecturally notable and has been restored", "the bowling is now considered architecturally notable and has been restored" ]
the building is now considered architecturally notable and has been restored
the bullying is now considered architecturally notable and has been restored.
the bowling is now considered architecturally notable and has been restored. the building is now considered architecturally notable and has been restored. the bulling is now considered architecturally notable and has been restored. the bowling is now considered architecturally notable and has been restored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bullying is now considered architecturally notable and has been restored', 'the bowling is now considered architecturally notable and has been restored', 'the building is now considered architecturally notable and has been restored', 'the bulling is now considered architecturally notable and has been restored', 'the bowling is now considered architecturally notable and has been restored']
[ "no pre cogories were taken and no prior identifications were made", "no pre coveries were taken and no prior identifications were made", "no pre cogories were taken and no prior identification were made", "no pre colories were taken and no prior identifications were made", "no pre coveries were taken and no prior identification were made" ]
no precoveries were taken and no prior identifications were made
no pre cogories were taken and no prior identifications were made.
no pre coveries were taken and no prior identifications were made. no pre cogories were taken and no prior identification were made. no pre colories were taken and no prior identifications were made. no pre coveries were taken and no prior identification were made.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no pre cogories were taken and no prior identifications were made', 'no pre coveries were taken and no prior identifications were made', 'no pre cogories were taken and no prior identification were made', 'no pre colories were taken and no prior identifications were made', 'no pre coveries were taken and no prior identification were made']
[ "following lesson she appeared in the l i which proved unsuccessful at the box office", "following lesson she appeared in the l i which proved unsuccessful at the box office", "following lesa lesa she appeared in the lie which proved unsuccessful at the box office", "following lesa lesa she appeared in the ally which proved unsuccessful at the box office", "following lesa lesa she appeared in the ally which proved unsuccessful at the box office" ]
following lesa lesa she appeared in alai which proved unsuccessful at the box office
following lesson she appeared in the l i which proved unsuccessful at the box office.
following lesson she appeared in the l i which proved unsuccessful at the box office. following lesa lesa she appeared in the lie which proved unsuccessful at the box office. following lesa lesa she appeared in the ally which proved unsuccessful at the box office. following lesa lesa she appeared in the ally which proved unsuccessful at the box office.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['following lesson she appeared in the l i which proved unsuccessful at the box office', 'following lesson she appeared in the l i which proved unsuccessful at the box office', 'following lesa lesa she appeared in the lie which proved unsuccessful at the box office', 'following lesa lesa she appeared in the ally which proved unsuccessful at the box office', 'following lesa lesa she appeared in the ally which proved unsuccessful at the box office']
[ "recent departures include cis boom bar luft gallery burst in gallery and bracket gallery", "recent departures include cis boom bar luft gallery burst in gallery and bracket gallery", "recent departures include cis boom bar luft gallery burst gallery and bracket gallery", "recent departures include sis boombar luft gallery burst gallery and bracket gallery", "recent departures include sys boom bar luft gallery burst gallery and bracket gallery" ]
recent departures include sis boom bah luft gallery burston gallery and brackett gallery
recent departures include cis boom bar luft gallery burst in gallery and bracket gallery.
recent departures include cis boom bar luft gallery burst in gallery and bracket gallery. recent departures include cis boom bar luft gallery burst gallery and bracket gallery. recent departures include sis boombar luft gallery burst gallery and bracket gallery. recent departures include sys boom bar luft gallery burst gallery and bracket gallery.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['recent departures include cis boom bar luft gallery burst in gallery and bracket gallery', 'recent departures include cis boom bar luft gallery burst in gallery and bracket gallery', 'recent departures include cis boom bar luft gallery burst gallery and bracket gallery', 'recent departures include sis boombar luft gallery burst gallery and bracket gallery', 'recent departures include sys boom bar luft gallery burst gallery and bracket gallery']
[ "rusty moriali was the host", "rasi moriali was the host", "rossi moriali was the host", "rusty moriale was the host", "rashi moriali was the host" ]
rossi morreale was the host
rusty moriali was the host.
rasi moriali was the host. rossi moriali was the host. rusty moriale was the host. rashi moriali was the host.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rusty moriali was the host', 'rasi moriali was the host', 'rossi moriali was the host', 'rusty moriale was the host', 'rashi moriali was the host']
[ "however in meeting subject to robert is rules of order straw poles are not allowed", "however in meetings subject to robert is rules of order straw poles are not allowed", "however in meeting subject to roberts rules of order straw poles are not allowed", "however in meeting subject to roberts rules of order straw poles are not allowed", "however in meetings subject to roberts rules of order straw poles are not allowed" ]
however in meetings subject to robert is rules of order straw polls are not allowed
however in meeting subject to robert is rules of order straw poles are not allowed.
however in meetings subject to robert is rules of order straw poles are not allowed. however in meeting subject to roberts rules of order straw poles are not allowed. however in meeting subject to roberts rules of order straw poles are not allowed. however in meetings subject to roberts rules of order straw poles are not allowed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however in meeting subject to robert is rules of order straw poles are not allowed', 'however in meetings subject to robert is rules of order straw poles are not allowed', 'however in meeting subject to roberts rules of order straw poles are not allowed', 'however in meeting subject to roberts rules of order straw poles are not allowed', 'however in meetings subject to roberts rules of order straw poles are not allowed']
[ "following the river south the man find an empty gate", "following the river south then man find an empty gate", "following the river south the man find and him together", "following the river south the man find and empty every", "following the river south the man find and empty every" ]
following the river south the men find an empty cabin
following the river south the man find an empty gate.
following the river south then man find an empty gate. following the river south the man find and him together. following the river south the man find and empty every. following the river south the man find and empty every.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['following the river south the man find an empty gate', 'following the river south then man find an empty gate', 'following the river south the man find and him together', 'following the river south the man find and empty every', 'following the river south the man find and empty every']
[ "knowledge of agriculture can enable people to become self sufficient", "knowledge of agriculture can enable people to become soft sufficient", "knowledge of agriculture can enable people to become self sufficient", "knowledge of agriculture can enable people to become self sufficient", "knowledge of agriculture can enable people to become self sufficient" ]
knowledge of agriculture can enable people to become self sufficient
knowledge of agriculture can enable people to become self sufficient.
knowledge of agriculture can enable people to become soft sufficient. knowledge of agriculture can enable people to become self sufficient. knowledge of agriculture can enable people to become self sufficient. knowledge of agriculture can enable people to become self sufficient.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['knowledge of agriculture can enable people to become self sufficient', 'knowledge of agriculture can enable people to become soft sufficient', 'knowledge of agriculture can enable people to become self sufficient', 'knowledge of agriculture can enable people to become self sufficient', 'knowledge of agriculture can enable people to become self sufficient']
[ "with her band zeriko playboys", "with her band zerco playboys", "with her band zerco playboys", "with her band zika playboys", "with her band zeta kerr playboys" ]
she tours and records with her band the zydeco playboys
with her band zeriko playboys.
with her band zerco playboys. with her band zerco playboys. with her band zika playboys. with her band zeta kerr playboys.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with her band zeriko playboys', 'with her band zerco playboys', 'with her band zerco playboys', 'with her band zika playboys', 'with her band zeta kerr playboys']
[ "he plays a piano and is a fan of movie music compositions", "he plays the piano and is a fan of movie music compositions", "he plays a piano and is a fan of music compositions", "he plays a piano and is a fan of movie music compositions", "he plays the piano and is a fan of music compositions" ]
he plays the piano and is a fan of movie music compositions
he plays a piano and is a fan of movie music compositions.
he plays the piano and is a fan of movie music compositions. he plays a piano and is a fan of music compositions. he plays a piano and is a fan of movie music compositions. he plays the piano and is a fan of music compositions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he plays a piano and is a fan of movie music compositions', 'he plays the piano and is a fan of movie music compositions', 'he plays a piano and is a fan of music compositions', 'he plays a piano and is a fan of movie music compositions', 'he plays the piano and is a fan of music compositions']
[ "however there is very little empirical evidence of any benefit to inhaling radon", "however there is very little empirical evidence of any benefit to inhaling raedon", "however there is very little empirical evidence of any benefit to inhaling raidon", "however there is very little empirical evidence of any benefit to inhaling raidon", "however there is very little empirical evidence of any benefit to inhaling radon" ]
however there is very little empirical evidence of any benefit to inhaling radon
however there is very little empirical evidence of any benefit to inhaling radon.
however there is very little empirical evidence of any benefit to inhaling raedon. however there is very little empirical evidence of any benefit to inhaling raidon. however there is very little empirical evidence of any benefit to inhaling raidon. however there is very little empirical evidence of any benefit to inhaling radon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however there is very little empirical evidence of any benefit to inhaling radon', 'however there is very little empirical evidence of any benefit to inhaling raedon', 'however there is very little empirical evidence of any benefit to inhaling raidon', 'however there is very little empirical evidence of any benefit to inhaling raidon', 'however there is very little empirical evidence of any benefit to inhaling radon']
[ "in some cases the surface may skip tracks or get stuck", "in some cases the surface may skip tracks or get stuck", "in some cases the surface may skip tracks or get stuck", "in some cases the surface may skip tracks or get stuck", "in some cases the surface may skip tracks or get stuck" ]
in some cases the servos may skip tracks or get stuck
in some cases the surface may skip tracks or get stuck.
in some cases the surface may skip tracks or get stuck. in some cases the surface may skip tracks or get stuck. in some cases the surface may skip tracks or get stuck. in some cases the surface may skip tracks or get stuck.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in some cases the surface may skip tracks or get stuck', 'in some cases the surface may skip tracks or get stuck', 'in some cases the surface may skip tracks or get stuck', 'in some cases the surface may skip tracks or get stuck', 'in some cases the surface may skip tracks or get stuck']
[ "countess mother died when countess was eleven years old", "countess mother died when countess eleven years old", "countess mother died when countess eleven years old", "countess mother died when countess was eleven years old", "countess mother died when countess eleven years old" ]
caunter is mother died when caunter was eleven years old
countess mother died when countess was eleven years old.
countess mother died when countess eleven years old. countess mother died when countess eleven years old. countess mother died when countess was eleven years old. countess mother died when countess eleven years old.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['countess mother died when countess was eleven years old', 'countess mother died when countess eleven years old', 'countess mother died when countess eleven years old', 'countess mother died when countess was eleven years old', 'countess mother died when countess eleven years old']
[ "pallad found his horse blocked almost from the start", "pallard found his horse blocked almost from the start", "pollard found his horse blocked almost from the start", "pallag found his horse blocked almost from the start", "pallard bound his horse blocked almost from the start" ]
pollard found his horse blocked almost from the start
pallad found his horse blocked almost from the start.
pallard found his horse blocked almost from the start. pollard found his horse blocked almost from the start. pallag found his horse blocked almost from the start. pallard bound his horse blocked almost from the start.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pallad found his horse blocked almost from the start', 'pallard found his horse blocked almost from the start', 'pollard found his horse blocked almost from the start', 'pallag found his horse blocked almost from the start', 'pallard bound his horse blocked almost from the start']
[ "included as belonging to the middle class are professionals managers and senior civil servants", "included as belonging to the middle class are professionals managers and senior civil servants", "included as belonging to the middle class of professionals managers and senior civil servants", "included as belonging to the middle class of professionals managers and senior civil servants", "included as belonging to the middle class of professionals managers and senior civil servants" ]
included as belonging to the middle class are professionals managers and senior civil servants
included as belonging to the middle class are professionals managers and senior civil servants.
included as belonging to the middle class are professionals managers and senior civil servants. included as belonging to the middle class of professionals managers and senior civil servants. included as belonging to the middle class of professionals managers and senior civil servants. included as belonging to the middle class of professionals managers and senior civil servants.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['included as belonging to the middle class are professionals managers and senior civil servants', 'included as belonging to the middle class are professionals managers and senior civil servants', 'included as belonging to the middle class of professionals managers and senior civil servants', 'included as belonging to the middle class of professionals managers and senior civil servants', 'included as belonging to the middle class of professionals managers and senior civil servants']
[ "it was the successor to the wesleyan theological institution", "it was the successor to the wesleyan theological institution", "it was the successor to the wesleyan theological institution", "it was the successor to the wesleyan theological institution", "it was the successor to the wesleyan theological institution" ]
it was the successor to the wesleyan theological institution
it was the successor to the wesleyan theological institution.
it was the successor to the wesleyan theological institution. it was the successor to the wesleyan theological institution. it was the successor to the wesleyan theological institution. it was the successor to the wesleyan theological institution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was the successor to the wesleyan theological institution', 'it was the successor to the wesleyan theological institution', 'it was the successor to the wesleyan theological institution', 'it was the successor to the wesleyan theological institution', 'it was the successor to the wesleyan theological institution']
[ "he lives in boness and his club of sale harriers", "he lives in boness and his club as sale harriers", "he lives in boness and his club has sailharias", "he lives in boness and his club as sailhariers", "he lives in boness and his club has sailharrias" ]
he lives in bo ness and his club was sale harriers
he lives in boness and his club of sale harriers.
he lives in boness and his club as sale harriers. he lives in boness and his club has sailharias. he lives in boness and his club as sailhariers. he lives in boness and his club has sailharrias.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he lives in boness and his club of sale harriers', 'he lives in boness and his club as sale harriers', 'he lives in boness and his club has sailharias', 'he lives in boness and his club as sailhariers', 'he lives in boness and his club has sailharrias']
[ "feeling cheater benya will continue to chase jordan for the title", "feeling cheated benya will continue to chase jordan for the title", "feeling cheater benio will continue to chase jordan for the title", "feeling cheater benya will continue to trace jordan for the title", "feeling cheated benya will continue to trace jordan for the title" ]
feeling cheated benoit continued to chase jordan for the title
feeling cheater benya will continue to chase jordan for the title.
feeling cheated benya will continue to chase jordan for the title. feeling cheater benio will continue to chase jordan for the title. feeling cheater benya will continue to trace jordan for the title. feeling cheated benya will continue to trace jordan for the title.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['feeling cheater benya will continue to chase jordan for the title', 'feeling cheated benya will continue to chase jordan for the title', 'feeling cheater benio will continue to chase jordan for the title', 'feeling cheater benya will continue to trace jordan for the title', 'feeling cheated benya will continue to trace jordan for the title']
[ "some characters and celebrations are loosely based upon real life people and incidents", "some characters and celebrations are loosely based upon real life people and incidents", "some characters and situations are loosely based upon real life people and incidents", "some characters and civilizations are loosely based upon real life people and incidents", "some characters and motivations are loosely based upon real life people and incidents" ]
some characters and situations are loosely based upon real life people and incidents
some characters and celebrations are loosely based upon real life people and incidents.
some characters and celebrations are loosely based upon real life people and incidents. some characters and situations are loosely based upon real life people and incidents. some characters and civilizations are loosely based upon real life people and incidents. some characters and motivations are loosely based upon real life people and incidents.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some characters and celebrations are loosely based upon real life people and incidents', 'some characters and celebrations are loosely based upon real life people and incidents', 'some characters and situations are loosely based upon real life people and incidents', 'some characters and civilizations are loosely based upon real life people and incidents', 'some characters and motivations are loosely based upon real life people and incidents']
[ "the result of the battle was the decisive car list victory", "the result of the battle was the decisive car lift victory", "the result of the battle was the decisive card victory", "the result of the battle was a decisive car lift victory", "the result of the battle was the decisive card this victory" ]
the result of the battle was a decisive carlist victory
the result of the battle was the decisive car list victory.
the result of the battle was the decisive car lift victory. the result of the battle was the decisive card victory. the result of the battle was a decisive car lift victory. the result of the battle was the decisive card this victory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the result of the battle was the decisive car list victory', 'the result of the battle was the decisive car lift victory', 'the result of the battle was the decisive card victory', 'the result of the battle was a decisive car lift victory', 'the result of the battle was the decisive card this victory']
[ "nothing can be done to prevent the disease", "nothing can be done to prevent the disease", "nothing can be done to prevent the disease", "nothing can be done to prevent the disease", "nothing can be done to prevent the disease" ]
nothing can be done to prevent the disease
nothing can be done to prevent the disease.
nothing can be done to prevent the disease. nothing can be done to prevent the disease. nothing can be done to prevent the disease. nothing can be done to prevent the disease.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nothing can be done to prevent the disease', 'nothing can be done to prevent the disease', 'nothing can be done to prevent the disease', 'nothing can be done to prevent the disease', 'nothing can be done to prevent the disease']
[ "clothing optional sunbathing is common at the beach", "clothing option on sunbathing is common at the beach", "clothing optional sunbathing is common at the beach", "clothing option on sunbathing is common at the beach", "clothing option on sunbathing is common at the beach" ]
clothing optional sunbathing is common at the beach
clothing optional sunbathing is common at the beach.
clothing option on sunbathing is common at the beach. clothing optional sunbathing is common at the beach. clothing option on sunbathing is common at the beach. clothing option on sunbathing is common at the beach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clothing optional sunbathing is common at the beach', 'clothing option on sunbathing is common at the beach', 'clothing optional sunbathing is common at the beach', 'clothing option on sunbathing is common at the beach', 'clothing option on sunbathing is common at the beach']
[ "most of these tributaries are short rivers flowing from the high verkoyansk mountains", "most of these tributaries are short rivers flowing from the high vercoyansk mountains", "most of these tributaries are short rivers flowing from the high verkoyansk mountains", "most of these tributaries are short rivers flowing from the high verkoyansk mountains", "most of these tributaries are short rivers flowing from the high verkoiansk mountains" ]
most of these tributaries are short rivers flowing from the high verkhoyansk mountains
most of these tributaries are short rivers flowing from the high verkoyansk mountains.
most of these tributaries are short rivers flowing from the high vercoyansk mountains. most of these tributaries are short rivers flowing from the high verkoyansk mountains. most of these tributaries are short rivers flowing from the high verkoyansk mountains. most of these tributaries are short rivers flowing from the high verkoiansk mountains.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of these tributaries are short rivers flowing from the high verkoyansk mountains', 'most of these tributaries are short rivers flowing from the high vercoyansk mountains', 'most of these tributaries are short rivers flowing from the high verkoyansk mountains', 'most of these tributaries are short rivers flowing from the high verkoyansk mountains', 'most of these tributaries are short rivers flowing from the high verkoiansk mountains']
[ "research shows that these are different modes of practice more than different historical periods", "research shows that these are different modes of practice more than different historical periods", "research shows that these are different modes of practice more than different historical periods", "research shows that these are different modes of practice more than different historical details", "research shows that these are different modes of practice more than different historical periods" ]
research shows that these are different modes of practice more than different historical periods
research shows that these are different modes of practice more than different historical periods.
research shows that these are different modes of practice more than different historical periods. research shows that these are different modes of practice more than different historical periods. research shows that these are different modes of practice more than different historical details. research shows that these are different modes of practice more than different historical periods.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['research shows that these are different modes of practice more than different historical periods', 'research shows that these are different modes of practice more than different historical periods', 'research shows that these are different modes of practice more than different historical periods', 'research shows that these are different modes of practice more than different historical details', 'research shows that these are different modes of practice more than different historical periods']
[ "music scores were now co written by ed bogas and judy munson", "music scores were now co written by ed bogers and judy munson", "music scores were now co written by ed boggers and judy munson", "music scores were now co written by ed bogas and judy munson", "music scores were now co written by ed bogers and judy munson" ]
music scores were now co written by ed bogas and judy munsen
music scores were now co written by ed bogas and judy munson.
music scores were now co written by ed bogers and judy munson. music scores were now co written by ed boggers and judy munson. music scores were now co written by ed bogas and judy munson. music scores were now co written by ed bogers and judy munson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['music scores were now co written by ed bogas and judy munson', 'music scores were now co written by ed bogers and judy munson', 'music scores were now co written by ed boggers and judy munson', 'music scores were now co written by ed bogas and judy munson', 'music scores were now co written by ed bogers and judy munson']
[ "general mechanism for delivering supplementary services is explained in this paper", "general mechanism for delivering supplementary services is explained in this paper", "general mechanism for delivering supplementary services is explained in this paper", "general mechanism for delivering supplementary services is explained in this paper", "general mechanism for delivering supplementary services is explained in this paper" ]
the general mechanism for delivering supplementary services is explained in this paper
general mechanism for delivering supplementary services is explained in this paper.
general mechanism for delivering supplementary services is explained in this paper. general mechanism for delivering supplementary services is explained in this paper. general mechanism for delivering supplementary services is explained in this paper. general mechanism for delivering supplementary services is explained in this paper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['general mechanism for delivering supplementary services is explained in this paper', 'general mechanism for delivering supplementary services is explained in this paper', 'general mechanism for delivering supplementary services is explained in this paper', 'general mechanism for delivering supplementary services is explained in this paper', 'general mechanism for delivering supplementary services is explained in this paper']
[ "mason and dj", "mason dj", "mason and dg", "mason dg", "mason and dj" ]
mason and d j
mason and dj.
mason dj. mason and dg. mason dg. mason and dj.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mason and dj', 'mason dj', 'mason and dg', 'mason dg', 'mason and dj']
[ "eastern black nightshade is not a strong competitor with most crops", "eastern black nightshade is not a strong competition with most crops", "eastern black nightshade is not a strong competitor with most crops", "eastern black nightshare is not a strong competitor with most crops", "east and black nightshade is not a strong competitor with most crops" ]
eastern black nightshade is not a strong competitor with most crops
eastern black nightshade is not a strong competitor with most crops.
eastern black nightshade is not a strong competition with most crops. eastern black nightshade is not a strong competitor with most crops. eastern black nightshare is not a strong competitor with most crops. east and black nightshade is not a strong competitor with most crops.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eastern black nightshade is not a strong competitor with most crops', 'eastern black nightshade is not a strong competition with most crops', 'eastern black nightshade is not a strong competitor with most crops', 'eastern black nightshare is not a strong competitor with most crops', 'east and black nightshade is not a strong competitor with most crops']
[ "the suburb is home to the cricket ground bay oval", "the suburb is home to the cricket ground bay oval", "the suburb is home to the cricket ground bay oval", "the suburb is home to the cricket ground bay oval", "the suburb is home to the cricket ground bae oval" ]
the suburb is home to the cricket ground bay oval
the suburb is home to the cricket ground bay oval.
the suburb is home to the cricket ground bay oval. the suburb is home to the cricket ground bay oval. the suburb is home to the cricket ground bay oval. the suburb is home to the cricket ground bae oval.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the suburb is home to the cricket ground bay oval', 'the suburb is home to the cricket ground bay oval', 'the suburb is home to the cricket ground bay oval', 'the suburb is home to the cricket ground bay oval', 'the suburb is home to the cricket ground bae oval']
[ "dio was born in custom house london to anthony and christine dio", "dio was born in custom house london to anthony and christine dio", "dyer was born in custom house london to anthony and christine dyer", "dio was born in custom house london to enter in christine dio", "dyer was born in custom house london to anthony and christine dyer" ]
dyer was born in custom house london to antony and christine dyer
dio was born in custom house london to anthony and christine dio.
dio was born in custom house london to anthony and christine dio. dyer was born in custom house london to anthony and christine dyer. dio was born in custom house london to enter in christine dio. dyer was born in custom house london to anthony and christine dyer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dio was born in custom house london to anthony and christine dio', 'dio was born in custom house london to anthony and christine dio', 'dyer was born in custom house london to anthony and christine dyer', 'dio was born in custom house london to enter in christine dio', 'dyer was born in custom house london to anthony and christine dyer']
[ "the second movement represents the vast expanse of ocean in stormy agitation", "the second movement represents the vast expanse of ocean in stormy education", "the second movement represents the wildstick spans of ocean in stormy agitation", "the second movement represents the wildstick spans of ocean in stormy education", "the second movement represents the vast expanse of ocean in stormy vegetation" ]
the second movement represents the vast expanse of ocean in stormy agitation
the second movement represents the vast expanse of ocean in stormy agitation.
the second movement represents the vast expanse of ocean in stormy education. the second movement represents the wildstick spans of ocean in stormy agitation. the second movement represents the wildstick spans of ocean in stormy education. the second movement represents the vast expanse of ocean in stormy vegetation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the second movement represents the vast expanse of ocean in stormy agitation', 'the second movement represents the vast expanse of ocean in stormy education', 'the second movement represents the wildstick spans of ocean in stormy agitation', 'the second movement represents the wildstick spans of ocean in stormy education', 'the second movement represents the vast expanse of ocean in stormy vegetation']
[ "it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments", "it interests the utility programs are the jpeg com and wrjpeg com for handling embedded text comments", "it introduced the utility programs are the jpeg calm and wrjpeg calm for handling embedded text comments", "it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments", "it introduces the utility programs are the jpeg com and wrjpeg com for handling embedded text comments" ]
it introduced the utility programs rdjpgcom and wrjpgcom for handling embedded text comments
it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments.
it interests the utility programs are the jpeg com and wrjpeg com for handling embedded text comments. it introduced the utility programs are the jpeg calm and wrjpeg calm for handling embedded text comments. it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments. it introduces the utility programs are the jpeg com and wrjpeg com for handling embedded text comments.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments', 'it interests the utility programs are the jpeg com and wrjpeg com for handling embedded text comments', 'it introduced the utility programs are the jpeg calm and wrjpeg calm for handling embedded text comments', 'it introduced the utility programs are the jpeg com and wrjpeg com for handling embedded text comments', 'it introduces the utility programs are the jpeg com and wrjpeg com for handling embedded text comments']
[ "kings on the hill rise of the pittsburgh crawfords", "kings on the hill rise of the pittsburgh crawfords", "kings on the hill rise of the pittsburgh crawfords", "kings on the hill rise of the pittsburgh crawfords", "kings on the hill rise of the pittsburgh crawfords" ]
kings on the hill rise of the pittsburgh crawfords
kings on the hill rise of the pittsburgh crawfords.
kings on the hill rise of the pittsburgh crawfords. kings on the hill rise of the pittsburgh crawfords. kings on the hill rise of the pittsburgh crawfords. kings on the hill rise of the pittsburgh crawfords.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kings on the hill rise of the pittsburgh crawfords', 'kings on the hill rise of the pittsburgh crawfords', 'kings on the hill rise of the pittsburgh crawfords', 'kings on the hill rise of the pittsburgh crawfords', 'kings on the hill rise of the pittsburgh crawfords']
[ "was a panelist on the weekly game show what is my line", "a panelist on the weekly game show what is my line", "was a panelist on the weekly game show what is my line", "a panelist on the weekly game show what is my line", "a panelist on the weekly game show what is my line" ]
francis was a panelist on the weekly game show what is my line
was a panelist on the weekly game show what is my line.
a panelist on the weekly game show what is my line. was a panelist on the weekly game show what is my line. a panelist on the weekly game show what is my line. a panelist on the weekly game show what is my line.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['was a panelist on the weekly game show what is my line', 'a panelist on the weekly game show what is my line', 'was a panelist on the weekly game show what is my line', 'a panelist on the weekly game show what is my line', 'a panelist on the weekly game show what is my line']
[ "he was offered the chance to write with aussie", "he was offered the chance to write with ozzy", "he was offered the chance to write with osli", "he was offered the chance to write with ozdy", "he was offered the chance to write with ozee" ]
he was offered the chance to write with ozzy
he was offered the chance to write with aussie.
he was offered the chance to write with ozzy. he was offered the chance to write with osli. he was offered the chance to write with ozdy. he was offered the chance to write with ozee.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was offered the chance to write with aussie', 'he was offered the chance to write with ozzy', 'he was offered the chance to write with osli', 'he was offered the chance to write with ozdy', 'he was offered the chance to write with ozee']
[ "a groundswell of support built up for coolidge who won the nomination over lenroot", "a groundswell of support built up for coolidge who won the nomination over landroot", "a groundswell of support built up for coolidge who won the nomination over lennroot", "a groundswell of support built up for coolidge who won the nomination over lennrude", "a groundswell of support built up for coolidge who won the nomination over lennaroot" ]
a groundswell of support built up for coolidge who won the nomination over lenroot
a groundswell of support built up for coolidge who won the nomination over lenroot.
a groundswell of support built up for coolidge who won the nomination over landroot. a groundswell of support built up for coolidge who won the nomination over lennroot. a groundswell of support built up for coolidge who won the nomination over lennrude. a groundswell of support built up for coolidge who won the nomination over lennaroot.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a groundswell of support built up for coolidge who won the nomination over lenroot', 'a groundswell of support built up for coolidge who won the nomination over landroot', 'a groundswell of support built up for coolidge who won the nomination over lennroot', 'a groundswell of support built up for coolidge who won the nomination over lennrude', 'a groundswell of support built up for coolidge who won the nomination over lennaroot']
[ "the ability to survive comes with generality", "the obligatory survive comes with generality", "the obliterage survive comes with generality", "the obliteration survive comes with generality", "the obliterate survive comes with generality" ]
the ability to survive comes with generality
the ability to survive comes with generality.
the obligatory survive comes with generality. the obliterage survive comes with generality. the obliteration survive comes with generality. the obliterate survive comes with generality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ability to survive comes with generality', 'the obligatory survive comes with generality', 'the obliterage survive comes with generality', 'the obliteration survive comes with generality', 'the obliterate survive comes with generality']
[ "the money flow is divided into positive and negative money flow", "the money flow is divided into positive and negative money flow", "the money flow is divided into positive and negative money flow", "the money flow is divided into positive and negative money flow", "the money flow is divided into positive and negative money flow" ]
the money flow is divided into positive and negative money flow
the money flow is divided into positive and negative money flow.
the money flow is divided into positive and negative money flow. the money flow is divided into positive and negative money flow. the money flow is divided into positive and negative money flow. the money flow is divided into positive and negative money flow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the money flow is divided into positive and negative money flow', 'the money flow is divided into positive and negative money flow', 'the money flow is divided into positive and negative money flow', 'the money flow is divided into positive and negative money flow', 'the money flow is divided into positive and negative money flow']
[ "modern incendiary bombs usually contain termite made from aluminum and ferric oxide", "modern incendiary bombs usually contain termite made from aluminum and ferric oxide", "modern incendiary bombs usually contain termite made from aluminum and ferric oxide", "modern incendiary bombs usually contained termite made from aluminum and ferric oxide", "modern incendiary bombs usually contain termite made from aluminum and very coaxile" ]
modern incendiary bombs usually contain thermite made from aluminum and ferric oxide
modern incendiary bombs usually contain termite made from aluminum and ferric oxide.
modern incendiary bombs usually contain termite made from aluminum and ferric oxide. modern incendiary bombs usually contain termite made from aluminum and ferric oxide. modern incendiary bombs usually contained termite made from aluminum and ferric oxide. modern incendiary bombs usually contain termite made from aluminum and very coaxile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['modern incendiary bombs usually contain termite made from aluminum and ferric oxide', 'modern incendiary bombs usually contain termite made from aluminum and ferric oxide', 'modern incendiary bombs usually contain termite made from aluminum and ferric oxide', 'modern incendiary bombs usually contained termite made from aluminum and ferric oxide', 'modern incendiary bombs usually contain termite made from aluminum and very coaxile']
[ "another prize is awarded by the readers of the austrian newspaper dare standard", "another prize is awarded by the readers of the austrian newspaper der standard", "another prize is awarded by the readers of the austrian newspaper derstandard", "another prize is awarded by the readers of the austrian newspaper derstandert", "another prize is awarded by the readers of the austrian newspaper daer standard" ]
another prize is awarded by the readers of the austrian newspaper der standard
another prize is awarded by the readers of the austrian newspaper dare standard.
another prize is awarded by the readers of the austrian newspaper der standard. another prize is awarded by the readers of the austrian newspaper derstandard. another prize is awarded by the readers of the austrian newspaper derstandert. another prize is awarded by the readers of the austrian newspaper daer standard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another prize is awarded by the readers of the austrian newspaper dare standard', 'another prize is awarded by the readers of the austrian newspaper der standard', 'another prize is awarded by the readers of the austrian newspaper derstandard', 'another prize is awarded by the readers of the austrian newspaper derstandert', 'another prize is awarded by the readers of the austrian newspaper daer standard']
[ "our burn has an order", "our burn has an ordnance", "our burn has an ordnance", "our bun has an order", "our burn has an ordance" ]
audubon has an orton is
our burn has an order.
our burn has an ordnance. our burn has an ordnance. our bun has an order. our burn has an ordance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['our burn has an order', 'our burn has an ordnance', 'our burn has an ordnance', 'our bun has an order', 'our burn has an ordance']
[ "allegedly one strikes jasmine who then attempts to commit suicide", "allegedly one strikes jasmine who then attempts to commit suicide", "allegedly one strikes jasmine who then attempts to commit suicide", "allegedly one strikes jasmine who then attempts to commit suicide", "allegedly one strikes jasmine who then attempts to commit suicide" ]
allegedly wang strikes jasmine who then attempts to commit suicide
allegedly one strikes jasmine who then attempts to commit suicide.
allegedly one strikes jasmine who then attempts to commit suicide. allegedly one strikes jasmine who then attempts to commit suicide. allegedly one strikes jasmine who then attempts to commit suicide. allegedly one strikes jasmine who then attempts to commit suicide.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['allegedly one strikes jasmine who then attempts to commit suicide', 'allegedly one strikes jasmine who then attempts to commit suicide', 'allegedly one strikes jasmine who then attempts to commit suicide', 'allegedly one strikes jasmine who then attempts to commit suicide', 'allegedly one strikes jasmine who then attempts to commit suicide']
[ "it takes its originator interchange with the rabat thank you and express it", "it takes its origin at the interchange with the robot thank you and express it", "it takes its origin at the interchange with the rabat thank you and express you", "it takes its origin at the interchange with the rabat thank you and express it", "it takes its originator interchange with the rappad thank you and express it" ]
it takes its origin at the interchange with the rabat tangier expressway
it takes its originator interchange with the rabat thank you and express it.
it takes its origin at the interchange with the robot thank you and express it. it takes its origin at the interchange with the rabat thank you and express you. it takes its origin at the interchange with the rabat thank you and express it. it takes its originator interchange with the rappad thank you and express it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it takes its originator interchange with the rabat thank you and express it', 'it takes its origin at the interchange with the robot thank you and express it', 'it takes its origin at the interchange with the rabat thank you and express you', 'it takes its origin at the interchange with the rabat thank you and express it', 'it takes its originator interchange with the rappad thank you and express it']
[ "the two affiliated but separate companies", "the two affiliated but separate companies", "the two affiliated but separate companies", "the two affiliated bud separate companies", "the two are affiliated but separate companies" ]
the two were affiliated but separate companies
the two affiliated but separate companies.
the two affiliated but separate companies. the two affiliated but separate companies. the two affiliated bud separate companies. the two are affiliated but separate companies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two affiliated but separate companies', 'the two affiliated but separate companies', 'the two affiliated but separate companies', 'the two affiliated bud separate companies', 'the two are affiliated but separate companies']
[ "however the rewards seem hollow due to g is lethargy and kate is rejection of him", "however the rewards seem holler due to genius lethargy and kate is rejection of him", "however the rewards seem holler due to genius lethargy and case rejection of him", "however the reward seemed hollow due to g is lethargy and kate is rejection of him", "however the rewards seem hollow due to genius lethargy and kate is rejection of him" ]
however the rewards seem hollow due to g is lethargy and kate is rejection of him
however the rewards seem hollow due to g is lethargy and kate is rejection of him.
however the rewards seem holler due to genius lethargy and kate is rejection of him. however the rewards seem holler due to genius lethargy and case rejection of him. however the reward seemed hollow due to g is lethargy and kate is rejection of him. however the rewards seem hollow due to genius lethargy and kate is rejection of him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the rewards seem hollow due to g is lethargy and kate is rejection of him', 'however the rewards seem holler due to genius lethargy and kate is rejection of him', 'however the rewards seem holler due to genius lethargy and case rejection of him', 'however the reward seemed hollow due to g is lethargy and kate is rejection of him', 'however the rewards seem hollow due to genius lethargy and kate is rejection of him']
[ "clock missed the rest of the regular season on playoffs", "clock missed the rest of the regular season and playoffs", "clock missed the rest of the regular season in playoffs", "clock mister rest of the regular season on playoffs", "clock mister rest of the regular season and playoffs" ]
clark missed the rest of the regular season and playoffs
clock missed the rest of the regular season on playoffs.
clock missed the rest of the regular season and playoffs. clock missed the rest of the regular season in playoffs. clock mister rest of the regular season on playoffs. clock mister rest of the regular season and playoffs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clock missed the rest of the regular season on playoffs', 'clock missed the rest of the regular season and playoffs', 'clock missed the rest of the regular season in playoffs', 'clock mister rest of the regular season on playoffs', 'clock mister rest of the regular season and playoffs']
[ "so it shows that the freedom is perhaps an illusion it is also a necessity", "so it shows that the freedom is perhaps an illusion it is also a necessity", "so i just showed you that the freedom is perhaps an illusion it is also a necessity", "so i just showed you that the freedom is perhaps an illusion it is also a necessity", "so i just show you that the freedom is perhaps an illusion it is also a necessity" ]
sartre shows that though freedom is perhaps an illusion it is also a necessity
so it shows that the freedom is perhaps an illusion it is also a necessity.
so it shows that the freedom is perhaps an illusion it is also a necessity. so i just showed you that the freedom is perhaps an illusion it is also a necessity. so i just showed you that the freedom is perhaps an illusion it is also a necessity. so i just show you that the freedom is perhaps an illusion it is also a necessity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it shows that the freedom is perhaps an illusion it is also a necessity', 'so it shows that the freedom is perhaps an illusion it is also a necessity', 'so i just showed you that the freedom is perhaps an illusion it is also a necessity', 'so i just showed you that the freedom is perhaps an illusion it is also a necessity', 'so i just show you that the freedom is perhaps an illusion it is also a necessity']
[ "much of this is because of large oil revenues", "much of this is because of large oil revenues", "much of this is because of large oil revenues", "much of this is because of large oil revenues", "much of this is because of large oil revenues" ]
much of this is because of large oil revenues
much of this is because of large oil revenues.
much of this is because of large oil revenues. much of this is because of large oil revenues. much of this is because of large oil revenues. much of this is because of large oil revenues.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['much of this is because of large oil revenues', 'much of this is because of large oil revenues', 'much of this is because of large oil revenues', 'much of this is because of large oil revenues', 'much of this is because of large oil revenues']
[ "multi generational poverty found in struggling neighborhoods or iso contributes", "multigenerational poverty found in struggling neighborhoods or iso contributes", "multi generational poverty found in struggling neighborhoods or iso contributes", "multigenerational poverty found in struggling neighborhoods or iso contributes", "multi generational poverty found in struggling neighborhoods or so contributes" ]
multi generational poverty found in struggling neighborhoods also contributes
multi generational poverty found in struggling neighborhoods or iso contributes.
multigenerational poverty found in struggling neighborhoods or iso contributes. multi generational poverty found in struggling neighborhoods or iso contributes. multigenerational poverty found in struggling neighborhoods or iso contributes. multi generational poverty found in struggling neighborhoods or so contributes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['multi generational poverty found in struggling neighborhoods or iso contributes', 'multigenerational poverty found in struggling neighborhoods or iso contributes', 'multi generational poverty found in struggling neighborhoods or iso contributes', 'multigenerational poverty found in struggling neighborhoods or iso contributes', 'multi generational poverty found in struggling neighborhoods or so contributes']
[ "the city also has the diocese former cathedral saint anne devoted to saint anne", "the city also has the diocese former cathedral saint anne devoted to saint anne", "the city also has the diocese former cathedral saint anne devoted to saint anne", "the city also has the diocese former cathedral saint anne devoted to saint anne", "the city also has the diocese former cathedral saint anne devoted to saint anne" ]
the city also has the diocese is former cathedral sainte anne devoted to saint anna
the city also has the diocese former cathedral saint anne devoted to saint anne.
the city also has the diocese former cathedral saint anne devoted to saint anne. the city also has the diocese former cathedral saint anne devoted to saint anne. the city also has the diocese former cathedral saint anne devoted to saint anne. the city also has the diocese former cathedral saint anne devoted to saint anne.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the city also has the diocese former cathedral saint anne devoted to saint anne', 'the city also has the diocese former cathedral saint anne devoted to saint anne', 'the city also has the diocese former cathedral saint anne devoted to saint anne', 'the city also has the diocese former cathedral saint anne devoted to saint anne', 'the city also has the diocese former cathedral saint anne devoted to saint anne']
[ "the name means great place of gold in the comtee comtee language", "the name means great place of gold in the compty compty language", "the name means great place of gold in the campty campty language", "the name means great place of gold in the comty comty language", "the name means great place of gold in the comty comty language" ]
the name means great place of gold in the hkamti khamti language
the name means great place of gold in the comtee comtee language.
the name means great place of gold in the compty compty language. the name means great place of gold in the campty campty language. the name means great place of gold in the comty comty language. the name means great place of gold in the comty comty language.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name means great place of gold in the comtee comtee language', 'the name means great place of gold in the compty compty language', 'the name means great place of gold in the campty campty language', 'the name means great place of gold in the comty comty language', 'the name means great place of gold in the comty comty language']
[ "the cretaceous sea reptile mosaure is named after the river mose", "the cretaceous sea reptile mosaure is named after the river mosaure", "the cretaceous sea reptile moser saw is named after the river mos", "the cretaceous sea reptile mosaure is named after the river mose", "the cretaceous sea reptile moser saw is named after the river mos" ]
the cretaceous sea reptile mosasaur is named after the river meuse
the cretaceous sea reptile mosaure is named after the river mose.
the cretaceous sea reptile mosaure is named after the river mosaure. the cretaceous sea reptile moser saw is named after the river mos. the cretaceous sea reptile mosaure is named after the river mose. the cretaceous sea reptile moser saw is named after the river mos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cretaceous sea reptile mosaure is named after the river mose', 'the cretaceous sea reptile mosaure is named after the river mosaure', 'the cretaceous sea reptile moser saw is named after the river mos', 'the cretaceous sea reptile mosaure is named after the river mose', 'the cretaceous sea reptile moser saw is named after the river mos']
[ "the game is very reminiscent of the sega classic xaxon", "the game is very reminiscent of the sega classic zaxon", "the game is very reminiscent of the sega classic xaxon", "the game is very reminiscent of the sega classic zaxon", "the game is very reminiscent of the sega classic sachsen" ]
the game is very reminiscent of the sega classic zaxxon
the game is very reminiscent of the sega classic xaxon.
the game is very reminiscent of the sega classic zaxon. the game is very reminiscent of the sega classic xaxon. the game is very reminiscent of the sega classic zaxon. the game is very reminiscent of the sega classic sachsen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the game is very reminiscent of the sega classic xaxon', 'the game is very reminiscent of the sega classic zaxon', 'the game is very reminiscent of the sega classic xaxon', 'the game is very reminiscent of the sega classic zaxon', 'the game is very reminiscent of the sega classic sachsen']
[ "and that he turned and hurried down to her", "and that he turned and hurried down to him", "and that he turned and hurried down to her", "at that he turned and hurried down to her", "and that he turned and hurried down to her" ]
at that he turned and hurried down to her
and that he turned and hurried down to her.
and that he turned and hurried down to him. and that he turned and hurried down to her. at that he turned and hurried down to her. and that he turned and hurried down to her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that he turned and hurried down to her', 'and that he turned and hurried down to him', 'and that he turned and hurried down to her', 'at that he turned and hurried down to her', 'and that he turned and hurried down to her']
[ "these solutions are called tiles", "these solutions are called types", "these positions are called tiles", "these solutions are called ties", "these solutions are called ties" ]
these divisions are called tiles
these solutions are called tiles.
these solutions are called types. these positions are called tiles. these solutions are called ties. these solutions are called ties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these solutions are called tiles', 'these solutions are called types', 'these positions are called tiles', 'these solutions are called ties', 'these solutions are called ties']
[ "the battle is reenacted at the day battlefield historic state park hichio", "the battle is re enacted at the day battlefield historic state park hichio", "the battle is reenacted at the day battlefield historic state park hichio", "the battle is reenacted at the day battlefield historic state park ichio", "the battle is re enacted at the day battlefield historic state park ichio" ]
the battle is re enacted at the dade battlefield historic state park each year
the battle is reenacted at the day battlefield historic state park hichio.
the battle is re enacted at the day battlefield historic state park hichio. the battle is reenacted at the day battlefield historic state park hichio. the battle is reenacted at the day battlefield historic state park ichio. the battle is re enacted at the day battlefield historic state park ichio.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the battle is reenacted at the day battlefield historic state park hichio', 'the battle is re enacted at the day battlefield historic state park hichio', 'the battle is reenacted at the day battlefield historic state park hichio', 'the battle is reenacted at the day battlefield historic state park ichio', 'the battle is re enacted at the day battlefield historic state park ichio']
[ "as a result the british attack was disordered and confused", "as a result the british attack was disordered and confused", "as a result the british attack was disordered and confused", "as a result the british attack was disordered and confused", "as a result the british attack was disordered and confused" ]
as a result the british attack was disordered and confused
as a result the british attack was disordered and confused.
as a result the british attack was disordered and confused. as a result the british attack was disordered and confused. as a result the british attack was disordered and confused. as a result the british attack was disordered and confused.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a result the british attack was disordered and confused', 'as a result the british attack was disordered and confused', 'as a result the british attack was disordered and confused', 'as a result the british attack was disordered and confused', 'as a result the british attack was disordered and confused']
[ "it is currently the largest exporter of military small arms in europe", "it is currently the largest exporter of military small arms in europe", "it is currently the largest exporter of military small arms in europe", "it is currently the largest exporter of military small arms in europe", "it is currently the largest exporter of military small arms in europe" ]
it is currently the largest exporter of military small arms in europe
it is currently the largest exporter of military small arms in europe.
it is currently the largest exporter of military small arms in europe. it is currently the largest exporter of military small arms in europe. it is currently the largest exporter of military small arms in europe. it is currently the largest exporter of military small arms in europe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is currently the largest exporter of military small arms in europe', 'it is currently the largest exporter of military small arms in europe', 'it is currently the largest exporter of military small arms in europe', 'it is currently the largest exporter of military small arms in europe', 'it is currently the largest exporter of military small arms in europe']
[ "his infant son died instantly", "his infant is son died instantly", "is infant sun died instantly", "is infant sun died instantly", "his infant son died instantly" ]
his infant son died instantly
his infant son died instantly.
his infant is son died instantly. is infant sun died instantly. is infant sun died instantly. his infant son died instantly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his infant son died instantly', 'his infant is son died instantly', 'is infant sun died instantly', 'is infant sun died instantly', 'his infant son died instantly']
[ "the only exceptions are for remote counties lacking in advanced education facilities", "the only exceptions are for remote counties liking in advanced education facilities", "the only exceptions are four remote counties lacking in advanced education facilities", "the only exceptions are for remote count days lacking in advanced education facilities", "the only exceptions are for remote counties lacking in advanced education facilities" ]
the only exceptions are for remote counties lacking in advanced education facilities
the only exceptions are for remote counties lacking in advanced education facilities.
the only exceptions are for remote counties liking in advanced education facilities. the only exceptions are four remote counties lacking in advanced education facilities. the only exceptions are for remote count days lacking in advanced education facilities. the only exceptions are for remote counties lacking in advanced education facilities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the only exceptions are for remote counties lacking in advanced education facilities', 'the only exceptions are for remote counties liking in advanced education facilities', 'the only exceptions are four remote counties lacking in advanced education facilities', 'the only exceptions are for remote count days lacking in advanced education facilities', 'the only exceptions are for remote counties lacking in advanced education facilities']
[ "the oriental and indian languages departments are located in the marine campus", "the oriental and indian languages departments are located in the marina campus", "the oriental and indian languages departments are located in the marina campus", "the oriental and indian languages departments are located in the marine campus", "the oriental and indian languages departments are located in the marine campus" ]
the oriental and indian languages departments are located in the marina campus
the oriental and indian languages departments are located in the marine campus.
the oriental and indian languages departments are located in the marina campus. the oriental and indian languages departments are located in the marina campus. the oriental and indian languages departments are located in the marine campus. the oriental and indian languages departments are located in the marine campus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the oriental and indian languages departments are located in the marine campus', 'the oriental and indian languages departments are located in the marina campus', 'the oriental and indian languages departments are located in the marina campus', 'the oriental and indian languages departments are located in the marine campus', 'the oriental and indian languages departments are located in the marine campus']
[ "lake ewy borders the northern edge of the township", "lake ewe boathers the northern edge of the township", "lake ewy boathers the northern edge of the township", "lake ewe borders the northern edge of the township", "lake ewe bothers the northern edge of the township" ]
lake erie borders the northern edge of the township
lake ewy borders the northern edge of the township.
lake ewe boathers the northern edge of the township. lake ewy boathers the northern edge of the township. lake ewe borders the northern edge of the township. lake ewe bothers the northern edge of the township.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lake ewy borders the northern edge of the township', 'lake ewe boathers the northern edge of the township', 'lake ewy boathers the northern edge of the township', 'lake ewe borders the northern edge of the township', 'lake ewe bothers the northern edge of the township']
[ "she becomes proficient and skips two levels to become a junior skater", "she becomes proficient and keeps two levels to become a junior skater", "she becomes proficient and skips two levels to become a junior skater", "she becomes proficient and skips two levels to become a junior skater", "she becomes proficient and skips two levels to become a junior skater" ]
she becomes proficient and skips two levels to become a junior skater
she becomes proficient and skips two levels to become a junior skater.
she becomes proficient and keeps two levels to become a junior skater. she becomes proficient and skips two levels to become a junior skater. she becomes proficient and skips two levels to become a junior skater. she becomes proficient and skips two levels to become a junior skater.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she becomes proficient and skips two levels to become a junior skater', 'she becomes proficient and keeps two levels to become a junior skater', 'she becomes proficient and skips two levels to become a junior skater', 'she becomes proficient and skips two levels to become a junior skater', 'she becomes proficient and skips two levels to become a junior skater']
[ "the area has been mined for uranium", "the area has been mined for uranium", "the area has been mined for uranium", "the area has been mined for uranium", "the area has been mined for uranium" ]
the area has been mined for uranium
the area has been mined for uranium.
the area has been mined for uranium. the area has been mined for uranium. the area has been mined for uranium. the area has been mined for uranium.
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 area has been mined for uranium', 'the area has been mined for uranium', 'the area has been mined for uranium', 'the area has been mined for uranium', 'the area has been mined for uranium']
[ "the district also includes a small part of north central san antonio", "the district also includes a small part of north central san antonio", "the district also includes a small part of north central san enternier", "the district also includes a small part of north central san entonia", "the district also includes a small part of north central san enternia" ]
the district also includes a small part of north central san antonio
the district also includes a small part of north central san antonio.
the district also includes a small part of north central san antonio. the district also includes a small part of north central san enternier. the district also includes a small part of north central san entonia. the district also includes a small part of north central san enternia.
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 district also includes a small part of north central san antonio', 'the district also includes a small part of north central san antonio', 'the district also includes a small part of north central san enternier', 'the district also includes a small part of north central san entonia', 'the district also includes a small part of north central san enternia']
[ "small has kippelfield syndrome which accounts for his distinctive no knock appearance", "small has kippelfield syndrome which accounts for his distinctive no knock appearance", "small has kippelfield syndrome which accounts for his distinctive no neck appearance", "small has kiplophila syndrome which accounts for his distinctive no knock appearance", "small has kippelfield syndrome which accounts for his distinctive no neck appearance" ]
small has klippel feil syndrome which accounts for his distinctive no neck appearance
small has kippelfield syndrome which accounts for his distinctive no knock appearance.
small has kippelfield syndrome which accounts for his distinctive no knock appearance. small has kippelfield syndrome which accounts for his distinctive no neck appearance. small has kiplophila syndrome which accounts for his distinctive no knock appearance. small has kippelfield syndrome which accounts for his distinctive no neck appearance.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['small has kippelfield syndrome which accounts for his distinctive no knock appearance', 'small has kippelfield syndrome which accounts for his distinctive no knock appearance', 'small has kippelfield syndrome which accounts for his distinctive no neck appearance', 'small has kiplophila syndrome which accounts for his distinctive no knock appearance', 'small has kippelfield syndrome which accounts for his distinctive no neck appearance']
[ "there is an average of only of small annually", "there is an average of only of small annually", "there is an average of only of small annually", "there is an average of only of small annually", "there is an average of only of small annually" ]
there is an average of only of snow annually
there is an average of only of small annually.
there is an average of only of small annually. there is an average of only of small annually. there is an average of only of small annually. there is an average of only of small annually.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is an average of only of small annually', 'there is an average of only of small annually', 'there is an average of only of small annually', 'there is an average of only of small annually', 'there is an average of only of small annually']
[ "the first vertebral is not or scarcely broder anteriorly than posteriorly", "the first vertebral is not or scarcely brooder anteriorly than posteriorly", "the first vertebral is not or scarcely broader anteriorly than posteriorly", "the first vertebral is not or scarcely brooder anteriorly then posteriorly", "the first vertebral is not or scarcely broder anteriorly then posteriorly" ]
the first vertebral is not or scarcely broader anteriorly than posteriorly
the first vertebral is not or scarcely broder anteriorly than posteriorly.
the first vertebral is not or scarcely brooder anteriorly than posteriorly. the first vertebral is not or scarcely broader anteriorly than posteriorly. the first vertebral is not or scarcely brooder anteriorly then posteriorly. the first vertebral is not or scarcely broder anteriorly then posteriorly.
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 first vertebral is not or scarcely broder anteriorly than posteriorly', 'the first vertebral is not or scarcely brooder anteriorly than posteriorly', 'the first vertebral is not or scarcely broader anteriorly than posteriorly', 'the first vertebral is not or scarcely brooder anteriorly then posteriorly', 'the first vertebral is not or scarcely broder anteriorly then posteriorly']
[ "leave the room alan she repeated trembling all over", "leave the room alan she repeated trembling all over", "leave the room alan she repeated tramming all over", "leave the room ellen she repeated trembling all over", "leave the room ellen she repeated trembling all over" ]
leave the room ellen she repeated trembling all over
leave the room alan she repeated trembling all over.
leave the room alan she repeated trembling all over. leave the room alan she repeated tramming all over. leave the room ellen she repeated trembling all over. leave the room ellen she repeated trembling all over.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['leave the room alan she repeated trembling all over', 'leave the room alan she repeated trembling all over', 'leave the room alan she repeated tramming all over', 'leave the room ellen she repeated trembling all over', 'leave the room ellen she repeated trembling all over']
[ "all that war hit though he can not have an often divided eerie car", "all that war hit though he can not an often divided eerie car", "all out war hit though he can not an often divided eerie car", "all out war hit though he can not have an often divided eerie car", "all our war hit though he can not have an often divided eerie car" ]
all out war hit the weakened and often divided arikara
all that war hit though he can not have an often divided eerie car.
all that war hit though he can not an often divided eerie car. all out war hit though he can not an often divided eerie car. all out war hit though he can not have an often divided eerie car. all our war hit though he can not have an often divided eerie car.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all that war hit though he can not have an often divided eerie car', 'all that war hit though he can not an often divided eerie car', 'all out war hit though he can not an often divided eerie car', 'all out war hit though he can not have an often divided eerie car', 'all our war hit though he can not have an often divided eerie car']
[ "piracy was enough of a problem that some states entered into the redemption business", "piracy was enough of a problem that some states entered into the revotemption business", "piracy was enough of a problem that some states entered into the redemption business", "piracy was enough of a problem that some states entered into the redemption business", "piracy was enough of a problem that some states entered into the redemption business" ]
piracy was enough of a problem that some states entered into the redemption business
piracy was enough of a problem that some states entered into the redemption business.
piracy was enough of a problem that some states entered into the revotemption business. piracy was enough of a problem that some states entered into the redemption business. piracy was enough of a problem that some states entered into the redemption business. piracy was enough of a problem that some states entered into the redemption business.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['piracy was enough of a problem that some states entered into the redemption business', 'piracy was enough of a problem that some states entered into the revotemption business', 'piracy was enough of a problem that some states entered into the redemption business', 'piracy was enough of a problem that some states entered into the redemption business', 'piracy was enough of a problem that some states entered into the redemption business']
[ "dinahara station is an underground station with a single island platform serving two tracks", "dinahara station is an underground station with a single island platform serving two tracks", "dyna hara station is an underground station with a single island platform serving two tracks", "dina hara station is an underground station with a single island platform serving two tracks", "daina hara station is an underground station with a single island platform serving two tracks" ]
dainohara station is an underground station with a single island platform serving two tracks
dinahara station is an underground station with a single island platform serving two tracks.
dinahara station is an underground station with a single island platform serving two tracks. dyna hara station is an underground station with a single island platform serving two tracks. dina hara station is an underground station with a single island platform serving two tracks. daina hara station is an underground station with a single island platform serving two tracks.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dinahara station is an underground station with a single island platform serving two tracks', 'dinahara station is an underground station with a single island platform serving two tracks', 'dyna hara station is an underground station with a single island platform serving two tracks', 'dina hara station is an underground station with a single island platform serving two tracks', 'daina hara station is an underground station with a single island platform serving two tracks']