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[ "determined to hold out for rescue he goes to horrifying lengths to survive", "determined to hold out for rescue he goes to horrifying length to survive", "determined to hold out for rescue he goes to horrifying lengths to survive", "determined to hold out for rescue he goes to horrifying lengths to survive", "determined to hold out for rescue he goes to horrifying lengths to survive" ]
determined to hold out for rescue he goes to horrifying lengths to survive
determined to hold out for rescue he goes to horrifying lengths to survive.
determined to hold out for rescue he goes to horrifying length to survive. determined to hold out for rescue he goes to horrifying lengths to survive. determined to hold out for rescue he goes to horrifying lengths to survive. determined to hold out for rescue he goes to horrifying lengths to survive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['determined to hold out for rescue he goes to horrifying lengths to survive', 'determined to hold out for rescue he goes to horrifying length to survive', 'determined to hold out for rescue he goes to horrifying lengths to survive', 'determined to hold out for rescue he goes to horrifying lengths to survive', 'determined to hold out for rescue he goes to horrifying lengths to survive']
[ "tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city", "tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city", "tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city", "tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city", "tourists visiting the municipality primarily comes from adjacent municipalities and kottabato city" ]
tourists visiting the municipality primarily comes from adjacent municipalities and cotabato city
tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city.
tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city. tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city. tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city. tourists visiting the municipality primarily comes from adjacent municipalities and kottabato city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city', 'tourists visiting the municipality primarily comes from adjacent municipalities and kutabato city', 'tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city', 'tourists visiting the municipality primarily comes from adjacent municipalities and kotabato city', 'tourists visiting the municipality primarily comes from adjacent municipalities and kottabato city']
[ "the northern side of the lodge has many dunes forts and cane circles", "the northern side of the lodge has many dunes forts and canes circles", "the northern side of the lodge has many dunes forts and canes circles", "the northern side of the lodge has many dunes forts and cane circles", "the northern side of the lodge has many dunes forts and cane circles" ]
the northern side of the loch has many duns forts and cairn circles
the northern side of the lodge has many dunes forts and cane circles.
the northern side of the lodge has many dunes forts and canes circles. the northern side of the lodge has many dunes forts and canes circles. the northern side of the lodge has many dunes forts and cane circles. the northern side of the lodge has many dunes forts and cane circles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the northern side of the lodge has many dunes forts and cane circles', 'the northern side of the lodge has many dunes forts and canes circles', 'the northern side of the lodge has many dunes forts and canes circles', 'the northern side of the lodge has many dunes forts and cane circles', 'the northern side of the lodge has many dunes forts and cane circles']
[ "the war office was suitably impressed and chose it as a gun tractor", "the war office was suitably impressed and chose it as a gun tractor", "the war office was suitably impressed and chose it as a gun tractor", "the war office was suitably impressed and chose it as a gun tractor", "the war office was suitably impressed and chose it as a gun tractor" ]
the war office was suitably impressed and chose it as a gun tractor
the war office was suitably impressed and chose it as a gun tractor.
the war office was suitably impressed and chose it as a gun tractor. the war office was suitably impressed and chose it as a gun tractor. the war office was suitably impressed and chose it as a gun tractor. the war office was suitably impressed and chose it as a gun tractor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the war office was suitably impressed and chose it as a gun tractor', 'the war office was suitably impressed and chose it as a gun tractor', 'the war office was suitably impressed and chose it as a gun tractor', 'the war office was suitably impressed and chose it as a gun tractor', 'the war office was suitably impressed and chose it as a gun tractor']
[ "gilling went on to act in several television series", "gilling went on to act in several television series", "gilling went on to act in several television series", "gilling went on to act in several television series", "gilling went on to act in several television series" ]
gilling went on to act in several television series
gilling went on to act in several television series.
gilling went on to act in several television series. gilling went on to act in several television series. gilling went on to act in several television series. gilling went on to act in several television series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gilling went on to act in several television series', 'gilling went on to act in several television series', 'gilling went on to act in several television series', 'gilling went on to act in several television series', 'gilling went on to act in several television series']
[ "the team is managed by jean louis garcia", "the team is managed by jean louis garcia", "the team is managed by jean louille garcia", "the team is managed by jean louis gaussier", "the team is managed by jean louille garcia" ]
the team is managed by jean louis garcia
the team is managed by jean louis garcia.
the team is managed by jean louis garcia. the team is managed by jean louille garcia. the team is managed by jean louis gaussier. the team is managed by jean louille garcia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the team is managed by jean louis garcia', 'the team is managed by jean louis garcia', 'the team is managed by jean louille garcia', 'the team is managed by jean louis gaussier', 'the team is managed by jean louille garcia']
[ "though several nice piney style homes found free out the town", "there were several nice piney style homes found free out the town", "those several nice piney style homes found free out the town", "though several nice piney style homes found free out the town", "there were several nice piney style homes found free out the town" ]
there are several nice pioneer style homes found throughout the town
though several nice piney style homes found free out the town.
there were several nice piney style homes found free out the town. those several nice piney style homes found free out the town. though several nice piney style homes found free out the town. there were several nice piney style homes found free out the town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['though several nice piney style homes found free out the town', 'there were several nice piney style homes found free out the town', 'those several nice piney style homes found free out the town', 'though several nice piney style homes found free out the town', 'there were several nice piney style homes found free out the town']
[ "the main dealies employ their own journalists who competed for news flashes", "the main dealies employed their own journalists who competed for news flashes", "the main delis employed their own journalists who competed for news flashes", "the main deities employed their own journalists who competed for news flashes", "the main delies employed their own journalists who competed for news flashes" ]
the main dailies employed their own journalists who competed for news flashes
the main dealies employ their own journalists who competed for news flashes.
the main dealies employed their own journalists who competed for news flashes. the main delis employed their own journalists who competed for news flashes. the main deities employed their own journalists who competed for news flashes. the main delies employed their own journalists who competed for news flashes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the main dealies employ their own journalists who competed for news flashes', 'the main dealies employed their own journalists who competed for news flashes', 'the main delis employed their own journalists who competed for news flashes', 'the main deities employed their own journalists who competed for news flashes', 'the main delies employed their own journalists who competed for news flashes']
[ "like bronzite it is sometimes cut and polished as a gemstone", "like bronzeite it is sometimes cut and polished as a gemstone", "like bronzer it is sometimes cut and polished as a gemstone", "like bronzite it is sometimes cut and polished as a gemstone", "like bronzeite it is sometimes cut and polished as a gemstone" ]
like bronzite it is sometimes cut and polished as a gemstone
like bronzite it is sometimes cut and polished as a gemstone.
like bronzeite it is sometimes cut and polished as a gemstone. like bronzer it is sometimes cut and polished as a gemstone. like bronzite it is sometimes cut and polished as a gemstone. like bronzeite it is sometimes cut and polished as a gemstone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like bronzite it is sometimes cut and polished as a gemstone', 'like bronzeite it is sometimes cut and polished as a gemstone', 'like bronzer it is sometimes cut and polished as a gemstone', 'like bronzite it is sometimes cut and polished as a gemstone', 'like bronzeite it is sometimes cut and polished as a gemstone']
[ "students interested in researching inside the wetlands can fill out a wetlands reondage poem", "students interested in researching inside the wetlands can fill out a wetland is reondage poem", "students interested in researching inside the wetlands can fill out a wetlands reondage perm", "students interested in researching inside the wetlands can fill out a wetland is reondage pump", "students interested in researching inside the wetlands can fill out a wetland is reandurch poem" ]
students interested in researching inside the wetlands can fill out a wetlands research permit
students interested in researching inside the wetlands can fill out a wetlands reondage poem.
students interested in researching inside the wetlands can fill out a wetland is reondage poem. students interested in researching inside the wetlands can fill out a wetlands reondage perm. students interested in researching inside the wetlands can fill out a wetland is reondage pump. students interested in researching inside the wetlands can fill out a wetland is reandurch poem.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['students interested in researching inside the wetlands can fill out a wetlands reondage poem', 'students interested in researching inside the wetlands can fill out a wetland is reondage poem', 'students interested in researching inside the wetlands can fill out a wetlands reondage perm', 'students interested in researching inside the wetlands can fill out a wetland is reondage pump', 'students interested in researching inside the wetlands can fill out a wetland is reandurch poem']
[ "a player is first class statistics include many performances in test matches", "a player is first class statistics include many performances in test matches", "a players first class statistics include many performances in test matches", "a players first class statistics include many performances in test matches", "a players first class statistics include many performances in test matches" ]
a player is first class statistics include any performances in test matches
a player is first class statistics include many performances in test matches.
a player is first class statistics include many performances in test matches. a players first class statistics include many performances in test matches. a players first class statistics include many performances in test matches. a players first class statistics include many performances in test matches.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a player is first class statistics include many performances in test matches', 'a player is first class statistics include many performances in test matches', 'a players first class statistics include many performances in test matches', 'a players first class statistics include many performances in test matches', 'a players first class statistics include many performances in test matches']
[ "the new station is president was a", "the new stations president was a", "the new station is president was a", "the new stations president was a", "the new station is president was a" ]
the new station is president was a
the new station is president was a.
the new stations president was a. the new station is president was a. the new stations president was a. the new station is president was a.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the new station is president was a', 'the new stations president was a', 'the new station is president was a', 'the new stations president was a', 'the new station is president was a']
[ "the village is named after joshua warden", "the village is streamed after joshua was entered", "the village is name after joshua was entered", "the village is claimed after joshua was in town", "the village is streamed after joshua was not" ]
the village is named after joshua waddington
the village is named after joshua warden.
the village is streamed after joshua was entered. the village is name after joshua was entered. the village is claimed after joshua was in town. the village is streamed after joshua was not.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village is named after joshua warden', 'the village is streamed after joshua was entered', 'the village is name after joshua was entered', 'the village is claimed after joshua was in town', 'the village is streamed after joshua was not']
[ "the two saudi night societies have seen the clues", "the two saudi nights society is at the close", "the two saudi night societies are safe and close", "the two saturday night societies are safe and close", "the two saudi nights societies have seen the clues" ]
the two saturday night societies have since closed
the two saudi night societies have seen the clues.
the two saudi nights society is at the close. the two saudi night societies are safe and close. the two saturday night societies are safe and close. the two saudi nights societies have seen the clues.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two saudi night societies have seen the clues', 'the two saudi nights society is at the close', 'the two saudi night societies are safe and close', 'the two saturday night societies are safe and close', 'the two saudi nights societies have seen the clues']
[ "they are also near the swat valley", "they are also near the swat valley", "they are also near the swat valley", "they are also near the swath valley", "they are also near the swat valley" ]
they are also near the swat valley
they are also near the swat valley.
they are also near the swat valley. they are also near the swat valley. they are also near the swath valley. they are also near the swat valley.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are also near the swat valley', 'they are also near the swat valley', 'they are also near the swat valley', 'they are also near the swath valley', 'they are also near the swat valley']
[ "wright is town is governed under the borough form of new jersey municipal government", "wright is town is governed under the barra form of new jersey municipal government", "rights town is governed under the borough form of new jersey municipal government", "rights town is governed under the borough form of new jersey municipal government", "right is town is governed under the borough form of new jersey municipal government" ]
wrightstown is governed under the borough form of new jersey municipal government
wright is town is governed under the borough form of new jersey municipal government.
wright is town is governed under the barra form of new jersey municipal government. rights town is governed under the borough form of new jersey municipal government. rights town is governed under the borough form of new jersey municipal government. right is town is governed under the borough form of new jersey municipal government.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wright is town is governed under the borough form of new jersey municipal government', 'wright is town is governed under the barra form of new jersey municipal government', 'rights town is governed under the borough form of new jersey municipal government', 'rights town is governed under the borough form of new jersey municipal government', 'right is town is governed under the borough form of new jersey municipal government']
[ "it is locally known as fiske boulevard", "it is locally known as fisker boulevard", "it is locally known as fiscal boulevard", "it is locally known as fiscal boulevard", "it is locally known as fiscable word" ]
it is locally known as fiske boulevard
it is locally known as fiske boulevard.
it is locally known as fisker boulevard. it is locally known as fiscal boulevard. it is locally known as fiscal boulevard. it is locally known as fiscable word.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is locally known as fiske boulevard', 'it is locally known as fisker boulevard', 'it is locally known as fiscal boulevard', 'it is locally known as fiscal boulevard', 'it is locally known as fiscable word']
[ "shann wrote a regular article in the bi monthly magazine trader monthly", "shan wrote a regular article in the bi monthly magazine trader monthly", "shannon wrote a regular article in the bi monthly magazine trader monthly", "chan wrote a regular article in the bi monthly magazine trader monthly", "shannon wrote a regular article in the bi monthly magazine trader monthly" ]
chan wrote a regular article in the bi monthly magazine trader monthly
shann wrote a regular article in the bi monthly magazine trader monthly.
shan wrote a regular article in the bi monthly magazine trader monthly. shannon wrote a regular article in the bi monthly magazine trader monthly. chan wrote a regular article in the bi monthly magazine trader monthly. shannon wrote a regular article in the bi monthly magazine trader monthly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shann wrote a regular article in the bi monthly magazine trader monthly', 'shan wrote a regular article in the bi monthly magazine trader monthly', 'shannon wrote a regular article in the bi monthly magazine trader monthly', 'chan wrote a regular article in the bi monthly magazine trader monthly', 'shannon wrote a regular article in the bi monthly magazine trader monthly']
[ "baker tried to end the water department is use of volunteer spies", "baker tried to end the water department is use of volunteers spies", "baker tried to end the water department is use of volunteer spies", "baker tried to end the water apartment is use of volunteer spies", "baker tried to end the ward department is use of volunteer spies" ]
baker tried to end the war department is use of volunteer spies
baker tried to end the water department is use of volunteer spies.
baker tried to end the water department is use of volunteers spies. baker tried to end the water department is use of volunteer spies. baker tried to end the water apartment is use of volunteer spies. baker tried to end the ward department is use of volunteer spies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['baker tried to end the water department is use of volunteer spies', 'baker tried to end the water department is use of volunteers spies', 'baker tried to end the water department is use of volunteer spies', 'baker tried to end the water apartment is use of volunteer spies', 'baker tried to end the ward department is use of volunteer spies']
[ "the actor becomes a kind of living stop motion puppet", "the act becomes a kind of living stop motion puppet", "the actor becomes a kind of living stop motion puppet", "the act becomes a kind of living stop motion puppet", "the act becomes a kind of living stop motion puppet" ]
the actor becomes a kind of living stop motion puppet
the actor becomes a kind of living stop motion puppet.
the act becomes a kind of living stop motion puppet. the actor becomes a kind of living stop motion puppet. the act becomes a kind of living stop motion puppet. the act becomes a kind of living stop motion puppet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the actor becomes a kind of living stop motion puppet', 'the act becomes a kind of living stop motion puppet', 'the actor becomes a kind of living stop motion puppet', 'the act becomes a kind of living stop motion puppet', 'the act becomes a kind of living stop motion puppet']
[ "females rely on steep terrain more so than males", "females rely on steep terrain more so than males", "females rely on steep terrain moreso than males", "females rely on steep terrain more so than males", "females rely on steep terrain more so than males" ]
females rely on steep terrain more so than males
females rely on steep terrain more so than males.
females rely on steep terrain more so than males. females rely on steep terrain moreso than males. females rely on steep terrain more so than males. females rely on steep terrain more so than males.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['females rely on steep terrain more so than males', 'females rely on steep terrain more so than males', 'females rely on steep terrain moreso than males', 'females rely on steep terrain more so than males', 'females rely on steep terrain more so than males']
[ "ground skippers have appeared occasionally as minor characters in fiction and moving images", "ground skippers have appeared occasionally as minor characters in fiction and moving images", "ground is keepers have appeared occasionally as minor characters in fiction and moving images", "ground keepers have appeared occasionally as minor characters in fiction and moving images", "grounds keepers have appeared occasionally as minor characters in fiction and moving images" ]
groundskeepers have appeared occasionally as minor characters in fiction and moving images
ground skippers have appeared occasionally as minor characters in fiction and moving images.
ground skippers have appeared occasionally as minor characters in fiction and moving images. ground is keepers have appeared occasionally as minor characters in fiction and moving images. ground keepers have appeared occasionally as minor characters in fiction and moving images. grounds keepers have appeared occasionally as minor characters in fiction and moving images.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ground skippers have appeared occasionally as minor characters in fiction and moving images', 'ground skippers have appeared occasionally as minor characters in fiction and moving images', 'ground is keepers have appeared occasionally as minor characters in fiction and moving images', 'ground keepers have appeared occasionally as minor characters in fiction and moving images', 'grounds keepers have appeared occasionally as minor characters in fiction and moving images']
[ "surgeon tansley was appointed head teacher after the retirement of verland wulka", "surgeon tansley was appointed head teacher after the retirement of rowland wulka", "surgeon tansley was appointed head teacher after the retirement of roland wolcah", "surgeon townsley was appointed head teacher after the retirement of roland wolka", "surgeon townsley was appointed head teacher after the retirement of verland wulka" ]
sir john townsley was appointed head teacher after the retirement of roland walker
surgeon tansley was appointed head teacher after the retirement of verland wulka.
surgeon tansley was appointed head teacher after the retirement of rowland wulka. surgeon tansley was appointed head teacher after the retirement of roland wolcah. surgeon townsley was appointed head teacher after the retirement of roland wolka. surgeon townsley was appointed head teacher after the retirement of verland wulka.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['surgeon tansley was appointed head teacher after the retirement of verland wulka', 'surgeon tansley was appointed head teacher after the retirement of rowland wulka', 'surgeon tansley was appointed head teacher after the retirement of roland wolcah', 'surgeon townsley was appointed head teacher after the retirement of roland wolka', 'surgeon townsley was appointed head teacher after the retirement of verland wulka']
[ "he has also been running the family bicycle shop", "he has also been running the family bicycle shop", "he has also been running the family bicycle shop", "he has also been running the family bicycle shop", "he has also been running the family bicycle shop" ]
he has also been running the family bicycle shop
he has also been running the family bicycle shop.
he has also been running the family bicycle shop. he has also been running the family bicycle shop. he has also been running the family bicycle shop. he has also been running the family bicycle shop.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he has also been running the family bicycle shop', 'he has also been running the family bicycle shop', 'he has also been running the family bicycle shop', 'he has also been running the family bicycle shop', 'he has also been running the family bicycle shop']
[ "why is the sickencing all from the album the rise", "why is the second single from the album the rise", "why is the sickencing all from the album of the rise", "why is the sickencing all from the album of the rise", "why is the sickencing all from the album the rise" ]
why is the second single from the album the rise
why is the sickencing all from the album the rise.
why is the second single from the album the rise. why is the sickencing all from the album of the rise. why is the sickencing all from the album of the rise. why is the sickencing all from the album the rise.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['why is the sickencing all from the album the rise', 'why is the second single from the album the rise', 'why is the sickencing all from the album of the rise', 'why is the sickencing all from the album of the rise', 'why is the sickencing all from the album the rise']
[ "the two traveled and sketched together for months", "the two traveled and sketched together for months", "the two traveled and sketched together for months", "the two traveled and sketched together for months", "the two traveled and sketched together for months" ]
the two traveled and sketched together for months
the two traveled and sketched together for months.
the two traveled and sketched together for months. the two traveled and sketched together for months. the two traveled and sketched together for months. the two traveled and sketched together for months.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two traveled and sketched together for months', 'the two traveled and sketched together for months', 'the two traveled and sketched together for months', 'the two traveled and sketched together for months', 'the two traveled and sketched together for months']
[ "the two lived there for eight to nine months", "the two lived there for eight to nine months", "the two lived there for eight nine months", "two the two lived there for eight to nine months", "two the two lived there for eight nine months" ]
the two lived there for eight to nine months
the two lived there for eight to nine months.
the two lived there for eight to nine months. the two lived there for eight nine months. two the two lived there for eight to nine months. two the two lived there for eight nine months.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two lived there for eight to nine months', 'the two lived there for eight to nine months', 'the two lived there for eight nine months', 'two the two lived there for eight to nine months', 'two the two lived there for eight nine months']
[ "a faster discharge flash tube or an external laser you should use for this purpose", "a faster discharge flash tube or an external laser you should usually use for this purpose", "a faster discharge flash tube or an external laser you should really use for this purpose", "a fast test class tube or an external laser you should usually use for this purpose", "a fast test class tube or an external laser you should use for this purpose" ]
a fast discharge flashtube or an external laser is usually used for this purpose
a faster discharge flash tube or an external laser you should use for this purpose.
a faster discharge flash tube or an external laser you should usually use for this purpose. a faster discharge flash tube or an external laser you should really use for this purpose. a fast test class tube or an external laser you should usually use for this purpose. a fast test class tube or an external laser you should use for this purpose.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a faster discharge flash tube or an external laser you should use for this purpose', 'a faster discharge flash tube or an external laser you should usually use for this purpose', 'a faster discharge flash tube or an external laser you should really use for this purpose', 'a fast test class tube or an external laser you should usually use for this purpose', 'a fast test class tube or an external laser you should use for this purpose']
[ "about a month after the segment had been filmed carson died from his illness", "about a month after the segment had been filmed kassin died from his illness", "about a month after the segment had been filmed kasson died from his illness", "about a month after the segment had been filmed kassen died from his illness", "about a month after the segment had been filmed cossum died from his illness" ]
about a month after the segment had been filmed carson died from his illness
about a month after the segment had been filmed carson died from his illness.
about a month after the segment had been filmed kassin died from his illness. about a month after the segment had been filmed kasson died from his illness. about a month after the segment had been filmed kassen died from his illness. about a month after the segment had been filmed cossum died from his illness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['about a month after the segment had been filmed carson died from his illness', 'about a month after the segment had been filmed kassin died from his illness', 'about a month after the segment had been filmed kasson died from his illness', 'about a month after the segment had been filmed kassen died from his illness', 'about a month after the segment had been filmed cossum died from his illness']
[ "we have no connection proven", "you have no connection proven", "we have no connection for within", "we have no connection proven", "we have no connection proven" ]
we have no connection proven
we have no connection proven.
you have no connection proven. we have no connection for within. we have no connection proven. we have no connection proven.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we have no connection proven', 'you have no connection proven', 'we have no connection for within', 'we have no connection proven', 'we have no connection proven']
[ "at the time of the death hawkins was living in las vegas nevada", "at the time of his death hawkins was living in las vegas nevada", "at the time of his death hawkins was living in las vegas nevada", "at the time of this death hawkins was living in las vegas nevada", "at the time of this death hawkins was living in las vegas nevada" ]
at the time of his death hawkins was living in las vegas nevada
at the time of the death hawkins was living in las vegas nevada.
at the time of his death hawkins was living in las vegas nevada. at the time of his death hawkins was living in las vegas nevada. at the time of this death hawkins was living in las vegas nevada. at the time of this death hawkins was living in las vegas nevada.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at the time of the death hawkins was living in las vegas nevada', 'at the time of his death hawkins was living in las vegas nevada', 'at the time of his death hawkins was living in las vegas nevada', 'at the time of this death hawkins was living in las vegas nevada', 'at the time of this death hawkins was living in las vegas nevada']
[ "the album was recorded at janberry sound studio in dallas", "the album was recorded at janbury sound studio in dallas", "the album was recorded at janberry sound studio in dallas", "the album was recorded at janbury sound studio in dallas", "the album was recorded at january sound studio in dallas" ]
the album was recorded at january sound studio in dallas
the album was recorded at janberry sound studio in dallas.
the album was recorded at janbury sound studio in dallas. the album was recorded at janberry sound studio in dallas. the album was recorded at janbury sound studio in dallas. the album was recorded at january sound studio in dallas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album was recorded at janberry sound studio in dallas', 'the album was recorded at janbury sound studio in dallas', 'the album was recorded at janberry sound studio in dallas', 'the album was recorded at janbury sound studio in dallas', 'the album was recorded at january sound studio in dallas']
[ "today cross minton is played all around the world", "today cross minton is played all around the world", "today crossminton is played all around the world", "today crosminton is played all around the world", "today krosminton is played all around the world" ]
today crossminton is played all around the world
today cross minton is played all around the world.
today cross minton is played all around the world. today crossminton is played all around the world. today crosminton is played all around the world. today krosminton is played all around the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today cross minton is played all around the world', 'today cross minton is played all around the world', 'today crossminton is played all around the world', 'today crosminton is played all around the world', 'today krosminton is played all around the world']
[ "rojas was known for an unusual delivery appearing to almost stumble during his follow through", "rogers was known for an unusual delivery appearing to almost stumble during his follow through", "roger is was known for an unusual delivery appearing to almost stumble during his follow through", "rojas was known for an unusual delivery appearing to almost stumble during his follow through", "rogers was known for an unusual delivery appearing to almost stumble during his follow through" ]
rogers was known for an unusual delivery appearing to almost stumble during his follow through
rojas was known for an unusual delivery appearing to almost stumble during his follow through.
rogers was known for an unusual delivery appearing to almost stumble during his follow through. roger is was known for an unusual delivery appearing to almost stumble during his follow through. rojas was known for an unusual delivery appearing to almost stumble during his follow through. rogers was known for an unusual delivery appearing to almost stumble during his follow through.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rojas was known for an unusual delivery appearing to almost stumble during his follow through', 'rogers was known for an unusual delivery appearing to almost stumble during his follow through', 'roger is was known for an unusual delivery appearing to almost stumble during his follow through', 'rojas was known for an unusual delivery appearing to almost stumble during his follow through', 'rogers was known for an unusual delivery appearing to almost stumble during his follow through']
[ "it takes about milk to make large cheese", "it takes about milk to make large cheese", "it takes about milk to make large cheese", "it takes about milk to make large cheese", "it takes about milk to make large cheese" ]
it takes about of milk to make a large cheese
it takes about milk to make large cheese.
it takes about milk to make large cheese. it takes about milk to make large cheese. it takes about milk to make large cheese. it takes about milk to make large cheese.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it takes about milk to make large cheese', 'it takes about milk to make large cheese', 'it takes about milk to make large cheese', 'it takes about milk to make large cheese', 'it takes about milk to make large cheese']
[ "the following year costing agent james cooley likened her to an exotic gray scaling", "the following year costing agent james cooley likened her to an exotic gray scaling", "the following year costing agent james cooley likened her to an exotic gray scaling", "the following year costing agent james cooley likened her to an exotic gray scaling", "the following year costing agent james cooley likened her to an exotic gray scally" ]
the following year casting agent james scully likened her to an exotic grace kelly
the following year costing agent james cooley likened her to an exotic gray scaling.
the following year costing agent james cooley likened her to an exotic gray scaling. the following year costing agent james cooley likened her to an exotic gray scaling. the following year costing agent james cooley likened her to an exotic gray scaling. the following year costing agent james cooley likened her to an exotic gray scally.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the following year costing agent james cooley likened her to an exotic gray scaling', 'the following year costing agent james cooley likened her to an exotic gray scaling', 'the following year costing agent james cooley likened her to an exotic gray scaling', 'the following year costing agent james cooley likened her to an exotic gray scaling', 'the following year costing agent james cooley likened her to an exotic gray scally']
[ "it was claimed that the jews had tortured and crucified him", "it was claimed that the jews had tortured and crucified him", "it was claimed that the jews had tortured and crucified him", "it was claimed that the jews had tortured and crucified him", "it was claimed that the jews had tortured and crucified him" ]
it was claimed that the jews had tortured and crucified him
it was claimed that the jews had tortured and crucified him.
it was claimed that the jews had tortured and crucified him. it was claimed that the jews had tortured and crucified him. it was claimed that the jews had tortured and crucified him. it was claimed that the jews had tortured and crucified him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was claimed that the jews had tortured and crucified him', 'it was claimed that the jews had tortured and crucified him', 'it was claimed that the jews had tortured and crucified him', 'it was claimed that the jews had tortured and crucified him', 'it was claimed that the jews had tortured and crucified him']
[ "the top and field are two hitmen working for the mafia", "the top and the field are two hitmen working for the mafia", "the top and field are two hitmen working for the mafia", "the top and the field are two hitmen working for the mafia", "the top and fielder are two hitmen working for the mafia" ]
gustav and feodor are two hitmen working for the mafia
the top and field are two hitmen working for the mafia.
the top and the field are two hitmen working for the mafia. the top and field are two hitmen working for the mafia. the top and the field are two hitmen working for the mafia. the top and fielder are two hitmen working for the mafia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the top and field are two hitmen working for the mafia', 'the top and the field are two hitmen working for the mafia', 'the top and field are two hitmen working for the mafia', 'the top and the field are two hitmen working for the mafia', 'the top and fielder are two hitmen working for the mafia']
[ "the conservation designations overlap considerably with many protected areas covered by multiple designations", "the conservation designations overlap considerably with many protected areas covered by multiple designations", "the conservation designations overlap considerably with many protected areas covered by multiple designations", "the conservation designations overlap considerably with many protected areas covered by multiple designations", "the conservation designations overlap considerably with many protected areas covered by multiple designations" ]
the conservation designations overlap considerably with many protected areas covered by multiple designations
the conservation designations overlap considerably with many protected areas covered by multiple designations.
the conservation designations overlap considerably with many protected areas covered by multiple designations. the conservation designations overlap considerably with many protected areas covered by multiple designations. the conservation designations overlap considerably with many protected areas covered by multiple designations. the conservation designations overlap considerably with many protected areas covered by multiple designations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the conservation designations overlap considerably with many protected areas covered by multiple designations', 'the conservation designations overlap considerably with many protected areas covered by multiple designations', 'the conservation designations overlap considerably with many protected areas covered by multiple designations', 'the conservation designations overlap considerably with many protected areas covered by multiple designations', 'the conservation designations overlap considerably with many protected areas covered by multiple designations']
[ "the following year fuzz overhauled its lineup and musical direction", "the following year fans overhauled its lineup and musical direction", "the following year has overhauled its lineup and musical direction", "the following year fuzz overhauled its lineup and musical direction", "the following year thus overhauled its lineup and musical direction" ]
the following year phuz overhauled its lineup and musical direction
the following year fuzz overhauled its lineup and musical direction.
the following year fans overhauled its lineup and musical direction. the following year has overhauled its lineup and musical direction. the following year fuzz overhauled its lineup and musical direction. the following year thus overhauled its lineup and musical direction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the following year fuzz overhauled its lineup and musical direction', 'the following year fans overhauled its lineup and musical direction', 'the following year has overhauled its lineup and musical direction', 'the following year fuzz overhauled its lineup and musical direction', 'the following year thus overhauled its lineup and musical direction']
[ "the ground floor is dedicated to the entrance and the gate house", "the ground floor is dedicated to the entrance and the gatehouse", "the ground floor is dedicated to entrance and gate house", "the ground floor is dedicated to the entrants and the gate house", "the ground floor is dedicated to the entrance and the gait house" ]
the ground floor is dedicated to the entrance and the gatehouse
the ground floor is dedicated to the entrance and the gate house.
the ground floor is dedicated to the entrance and the gatehouse. the ground floor is dedicated to entrance and gate house. the ground floor is dedicated to the entrants and the gate house. the ground floor is dedicated to the entrance and the gait house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ground floor is dedicated to the entrance and the gate house', 'the ground floor is dedicated to the entrance and the gatehouse', 'the ground floor is dedicated to entrance and gate house', 'the ground floor is dedicated to the entrants and the gate house', 'the ground floor is dedicated to the entrance and the gait house']
[ "refety was born in queens new york", "referee was born in queens new york", "the referee was born in queens new york", "referee was born in queens new york", "referee was born in queens new york" ]
rafferty was born in queens new york
refety was born in queens new york.
referee was born in queens new york. the referee was born in queens new york. referee was born in queens new york. referee was born in queens new york.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['refety was born in queens new york', 'referee was born in queens new york', 'the referee was born in queens new york', 'referee was born in queens new york', 'referee was born in queens new york']
[ "fried hot dog and spam are also two popular meats included in the dish", "fried hot dog and spam are also two popular meats include in the dish", "fried hot dog and spam are also two popular meats including the dish", "friday hot dog and spam are also two popular meats included in the dish", "friday hot dog and spam are also two popular meats include in the dish" ]
fried hotdog and spam are also two popular meats to include in the dish
fried hot dog and spam are also two popular meats included in the dish.
fried hot dog and spam are also two popular meats include in the dish. fried hot dog and spam are also two popular meats including the dish. friday hot dog and spam are also two popular meats included in the dish. friday hot dog and spam are also two popular meats include in the dish.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fried hot dog and spam are also two popular meats included in the dish', 'fried hot dog and spam are also two popular meats include in the dish', 'fried hot dog and spam are also two popular meats including the dish', 'friday hot dog and spam are also two popular meats included in the dish', 'friday hot dog and spam are also two popular meats include in the dish']
[ "tndan is named doctor tndan a general of the warning state speeding", "tndan is named doctor tndan a general of the warning states fielding", "tndan his name is doctor tndan a general of the warning states feeding", "tndan his name doctor tndan a general of the warning states feeding", "t n dan is named doctor t n dan a general of the warning states feeding" ]
tian dan is named after tian dan a general of the warring states period
tndan is named doctor tndan a general of the warning state speeding.
tndan is named doctor tndan a general of the warning states fielding. tndan his name is doctor tndan a general of the warning states feeding. tndan his name doctor tndan a general of the warning states feeding. t n dan is named doctor t n dan a general of the warning states feeding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tndan is named doctor tndan a general of the warning state speeding', 'tndan is named doctor tndan a general of the warning states fielding', 'tndan his name is doctor tndan a general of the warning states feeding', 'tndan his name doctor tndan a general of the warning states feeding', 't n dan is named doctor t n dan a general of the warning states feeding']
[ "the nolder word very tall and of muscular build", "the knulder worked very tall and of muscular build", "the knulder word very tall and of muscular build", "the nolder word very tall and of muscular build", "the nolder word very tall and of muscular build" ]
the noldor were very tall and of muscular build
the nolder word very tall and of muscular build.
the knulder worked very tall and of muscular build. the knulder word very tall and of muscular build. the nolder word very tall and of muscular build. the nolder word very tall and of muscular build.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the nolder word very tall and of muscular build', 'the knulder worked very tall and of muscular build', 'the knulder word very tall and of muscular build', 'the nolder word very tall and of muscular build', 'the nolder word very tall and of muscular build']
[ "however they do not do very well at dispersing blunt trauma", "however they do not do very well at dispersing blunt trauma", "however they do not do very well at dispersing blunt trauma", "however they do not do very well at dispersing blunt trauma", "however they do not do very well at dispersing blunt trauma" ]
however they do not do very well at dispersing blunt trauma
however they do not do very well at dispersing blunt trauma.
however they do not do very well at dispersing blunt trauma. however they do not do very well at dispersing blunt trauma. however they do not do very well at dispersing blunt trauma. however they do not do very well at dispersing blunt trauma.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however they do not do very well at dispersing blunt trauma', 'however they do not do very well at dispersing blunt trauma', 'however they do not do very well at dispersing blunt trauma', 'however they do not do very well at dispersing blunt trauma', 'however they do not do very well at dispersing blunt trauma']
[ "there is eco controversy on the means of replenishment of d pond", "there is eco controversy on the means of replenishment of du ponding", "there is eco controversy on the means of replenishment of du pond", "there is eco controversy on the means of replenishment of du ponds", "there is eco controversy on the means of replenishment of du ponding" ]
there is equal controversy on the means of replenishment of dew ponds
there is eco controversy on the means of replenishment of d pond.
there is eco controversy on the means of replenishment of du ponding. there is eco controversy on the means of replenishment of du pond. there is eco controversy on the means of replenishment of du ponds. there is eco controversy on the means of replenishment of du ponding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is eco controversy on the means of replenishment of d pond', 'there is eco controversy on the means of replenishment of du ponding', 'there is eco controversy on the means of replenishment of du pond', 'there is eco controversy on the means of replenishment of du ponds', 'there is eco controversy on the means of replenishment of du ponding']
[ "the past welcome the spectacle and refer to it as miss world", "the past welcome the spectacle and refer to it as miss weld", "the past will come to respect the core and refer to it as miss world", "the past welcome the respective core and refer to it as miss weld", "the past welcome the respective core and refer to it as miss world" ]
the press welcomed the spectacle and referred to it as miss world
the past welcome the spectacle and refer to it as miss world.
the past welcome the spectacle and refer to it as miss weld. the past will come to respect the core and refer to it as miss world. the past welcome the respective core and refer to it as miss weld. the past welcome the respective core and refer to it as miss world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the past welcome the spectacle and refer to it as miss world', 'the past welcome the spectacle and refer to it as miss weld', 'the past will come to respect the core and refer to it as miss world', 'the past welcome the respective core and refer to it as miss weld', 'the past welcome the respective core and refer to it as miss world']
[ "here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum", "here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum", "here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum", "here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum", "here identify three species as pergillus flavus panicidium robrum and panicidium jugurlesum" ]
he identified three species aspergillus flavus penicillium rubrum and penicillium rugulosum
here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum.
here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum. here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum. here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum. here identify three species as pergillus flavus panicidium robrum and panicidium jugurlesum.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum', 'here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum', 'here identify three species as pergillus flavus panicidium robramth and panicidium jugurlesum', 'here identify three species as pergillus flavus panicidium robraum and panicidium jugurlesum', 'here identify three species as pergillus flavus panicidium robrum and panicidium jugurlesum']
[ "his daughter mord lived in oxford having married bookseller albujo rosenthorne", "his daughter mord lived in oxford having married bookseller albujo rosenthal", "his daughter maude lived in oxford having married bookseller albujo rosenthorne", "his daughter maud lived in oxford having married bookseller albujo rosenthorne", "his daughter more lived in oxford having married bookseller albujo rosenthorne" ]
his daughter maud lived in oxford having married the bookseller albi rosenthal
his daughter mord lived in oxford having married bookseller albujo rosenthorne.
his daughter mord lived in oxford having married bookseller albujo rosenthal. his daughter maude lived in oxford having married bookseller albujo rosenthorne. his daughter maud lived in oxford having married bookseller albujo rosenthorne. his daughter more lived in oxford having married bookseller albujo rosenthorne.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his daughter mord lived in oxford having married bookseller albujo rosenthorne', 'his daughter mord lived in oxford having married bookseller albujo rosenthal', 'his daughter maude lived in oxford having married bookseller albujo rosenthorne', 'his daughter maud lived in oxford having married bookseller albujo rosenthorne', 'his daughter more lived in oxford having married bookseller albujo rosenthorne']
[ "very few of these so called aria is seven day notes escaped incineration", "very few of these so called arias seven day notes escaped incineration", "very few of these so called area is seven day notes escaped incineration", "very few of these so called ria is seven day notes escaped incineration", "very few of these so called arias seven day notes escaped incineration" ]
very few of these so called arias seven day notes escaped incineration
very few of these so called aria is seven day notes escaped incineration.
very few of these so called arias seven day notes escaped incineration. very few of these so called area is seven day notes escaped incineration. very few of these so called ria is seven day notes escaped incineration. very few of these so called arias seven day notes escaped incineration.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['very few of these so called aria is seven day notes escaped incineration', 'very few of these so called arias seven day notes escaped incineration', 'very few of these so called area is seven day notes escaped incineration', 'very few of these so called ria is seven day notes escaped incineration', 'very few of these so called arias seven day notes escaped incineration']
[ "the aswithi government offices are located at the west melbourne city hall", "the aswithi government offices are located at the west melbourne city hall", "the aswiting government offices are located at the west melbourne city hall", "the sviti government offices are located at the west melbourne city hall", "the asvithi government offices are located at the west melbourne city hall" ]
the city government offices are located at the west melbourne city hall
the aswithi government offices are located at the west melbourne city hall.
the aswithi government offices are located at the west melbourne city hall. the aswiting government offices are located at the west melbourne city hall. the sviti government offices are located at the west melbourne city hall. the asvithi government offices are located at the west melbourne city hall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the aswithi government offices are located at the west melbourne city hall', 'the aswithi government offices are located at the west melbourne city hall', 'the aswiting government offices are located at the west melbourne city hall', 'the sviti government offices are located at the west melbourne city hall', 'the asvithi government offices are located at the west melbourne city hall']
[ "it is situated west of kingston and east of steyt rock dam", "it is situated west of kingstown and east of saint rock dam", "it is situated west of kingston and east of saint rock dam", "it is situated west of kingston and east of saint troc dam", "it is situated west of kingston and east of stydroch dam" ]
it is situated west of kingstown and east of split rock dam
it is situated west of kingston and east of steyt rock dam.
it is situated west of kingstown and east of saint rock dam. it is situated west of kingston and east of saint rock dam. it is situated west of kingston and east of saint troc dam. it is situated west of kingston and east of stydroch dam.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is situated west of kingston and east of steyt rock dam', 'it is situated west of kingstown and east of saint rock dam', 'it is situated west of kingston and east of saint rock dam', 'it is situated west of kingston and east of saint troc dam', 'it is situated west of kingston and east of stydroch dam']
[ "it appears on the soundtrack album to the movie notting hill", "it appears on the soundtrack album to the movie notting hill", "it appears on the soundtrack album to the movie notting hill", "it appears on the soundtrack album to the movie notting hill", "it appears on the soundtrack album to the movie notting hill" ]
it appears on the soundtrack album to the movie notting hill
it appears on the soundtrack album to the movie notting hill.
it appears on the soundtrack album to the movie notting hill. it appears on the soundtrack album to the movie notting hill. it appears on the soundtrack album to the movie notting hill. it appears on the soundtrack album to the movie notting hill.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it appears on the soundtrack album to the movie notting hill', 'it appears on the soundtrack album to the movie notting hill', 'it appears on the soundtrack album to the movie notting hill', 'it appears on the soundtrack album to the movie notting hill', 'it appears on the soundtrack album to the movie notting hill']
[ "the family includes wilderness plants such as the fig banyan breadfruit mulberry and osage orange", "the family includes wilderness plants such as the fig banyan breed food mulberry and osage orange", "the family includes wilderness plants such as the fig banyan breadfruit mulberry and osach orange", "the family includes wilderness plants such as the fig banyan bread food mulberry and osage orange", "the family includes wilderness plants such as the fig banyan breed food mulberry and osach orange" ]
the family includes well known plants such as the fig banyan breadfruit mulberry and osage orange
the family includes wilderness plants such as the fig banyan breadfruit mulberry and osage orange.
the family includes wilderness plants such as the fig banyan breed food mulberry and osage orange. the family includes wilderness plants such as the fig banyan breadfruit mulberry and osach orange. the family includes wilderness plants such as the fig banyan bread food mulberry and osage orange. the family includes wilderness plants such as the fig banyan breed food mulberry and osach orange.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the family includes wilderness plants such as the fig banyan breadfruit mulberry and osage orange', 'the family includes wilderness plants such as the fig banyan breed food mulberry and osage orange', 'the family includes wilderness plants such as the fig banyan breadfruit mulberry and osach orange', 'the family includes wilderness plants such as the fig banyan bread food mulberry and osage orange', 'the family includes wilderness plants such as the fig banyan breed food mulberry and osach orange']
[ "this bridge runs between paduka and brookport", "this bridge runs between paduka and rukpot", "this bridge runs between paduka and rukport", "this bridge runs between padukha and brookport", "this bridge runs between paduka and rookport" ]
this bridge runs between paducah and brookport
this bridge runs between paduka and brookport.
this bridge runs between paduka and rukpot. this bridge runs between paduka and rukport. this bridge runs between padukha and brookport. this bridge runs between paduka and rookport.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this bridge runs between paduka and brookport', 'this bridge runs between paduka and rukpot', 'this bridge runs between paduka and rukport', 'this bridge runs between padukha and brookport', 'this bridge runs between paduka and rookport']
[ "the antagonists are now albanian", "the antagonist are now albanian", "the anthroponist are now albanian", "the entrepreneurs are now albanian", "the anthroponists are now albanian" ]
the antagonists are now albanian
the antagonists are now albanian.
the antagonist are now albanian. the anthroponist are now albanian. the entrepreneurs are now albanian. the anthroponists are now albanian.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the antagonists are now albanian', 'the antagonist are now albanian', 'the anthroponist are now albanian', 'the entrepreneurs are now albanian', 'the anthroponists are now albanian']
[ "it runs from greenville to temple", "it runs from greenville to tempo", "it runs from greenville to temple", "it runs from greenville to tempo", "it runs from greenville to temple" ]
it runs from greenville to temple
it runs from greenville to temple.
it runs from greenville to tempo. it runs from greenville to temple. it runs from greenville to tempo. it runs from greenville to temple.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it runs from greenville to temple', 'it runs from greenville to tempo', 'it runs from greenville to temple', 'it runs from greenville to tempo', 'it runs from greenville to temple']
[ "since then the area has been a center of industrial and shipping activity", "since then the area has been a center of industrial and shipping activity", "since then the area has been a center of industrial and shipping activity", "since then the area has been a center of industrial and shipping activity", "since then the area has been a center of industrial and shipping activity" ]
since then the area has been a center of industrial and shipping activity
since then the area has been a center of industrial and shipping activity.
since then the area has been a center of industrial and shipping activity. since then the area has been a center of industrial and shipping activity. since then the area has been a center of industrial and shipping activity. since then the area has been a center of industrial and shipping activity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since then the area has been a center of industrial and shipping activity', 'since then the area has been a center of industrial and shipping activity', 'since then the area has been a center of industrial and shipping activity', 'since then the area has been a center of industrial and shipping activity', 'since then the area has been a center of industrial and shipping activity']
[ "to the south lie the port hills", "to the south lie the port hills", "to the south light the port hills", "to the south light the port hills", "to the south line the port hills" ]
to the south lie the port hills
to the south lie the port hills.
to the south lie the port hills. to the south light the port hills. to the south light the port hills. to the south line the port hills.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to the south lie the port hills', 'to the south lie the port hills', 'to the south light the port hills', 'to the south light the port hills', 'to the south line the port hills']
[ "this section continues into a spoken a rhythmic incantatory solo with background", "this section continues into a spoken every rhythmic incantatory so look at that ground", "this section continues into a spoken every rhythmic incantatory solo with background", "this section continues into a spoken every ethnic and cantonary solo with background", "this section continues into a spoken a rhythmic incantatory solo with that ground" ]
this section continues into a spoken arrhythmic incantatory solo with background
this section continues into a spoken a rhythmic incantatory solo with background.
this section continues into a spoken every rhythmic incantatory so look at that ground. this section continues into a spoken every rhythmic incantatory solo with background. this section continues into a spoken every ethnic and cantonary solo with background. this section continues into a spoken a rhythmic incantatory solo with that ground.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this section continues into a spoken a rhythmic incantatory solo with background', 'this section continues into a spoken every rhythmic incantatory so look at that ground', 'this section continues into a spoken every rhythmic incantatory solo with background', 'this section continues into a spoken every ethnic and cantonary solo with background', 'this section continues into a spoken a rhythmic incantatory solo with that ground']
[ "at one point he ran his own consulting business vixie enterprises", "at one point he ran his own consulting business vixie on the prices", "at one point he ran his own consulting business vixie on the prices", "at one point he ran his own consulting business vixie enterprises", "at one point he ran his own consulting business vixie enterprises" ]
at one point he ran his own consulting business vixie enterprises
at one point he ran his own consulting business vixie enterprises.
at one point he ran his own consulting business vixie on the prices. at one point he ran his own consulting business vixie on the prices. at one point he ran his own consulting business vixie enterprises. at one point he ran his own consulting business vixie enterprises.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at one point he ran his own consulting business vixie enterprises', 'at one point he ran his own consulting business vixie on the prices', 'at one point he ran his own consulting business vixie on the prices', 'at one point he ran his own consulting business vixie enterprises', 'at one point he ran his own consulting business vixie enterprises']
[ "it is the most successful maria island which is managed as a refuge", "it is the most successful maria island which is managed as a refuge", "it is the most successful maria island which is managed as a refuge", "it is the most successful maria island which is managed as a refuge", "it is the most successful maria island which is managed as a refuge" ]
it is most successful on maria island which is managed as a refuge
it is the most successful maria island which is managed as a refuge.
it is the most successful maria island which is managed as a refuge. it is the most successful maria island which is managed as a refuge. it is the most successful maria island which is managed as a refuge. it is the most successful maria island which is managed as a refuge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the most successful maria island which is managed as a refuge', 'it is the most successful maria island which is managed as a refuge', 'it is the most successful maria island which is managed as a refuge', 'it is the most successful maria island which is managed as a refuge', 'it is the most successful maria island which is managed as a refuge']
[ "shamu was the first intentional live capture of a healthy or calm", "shahmu was the first intentional live capture of a healthy or calm", "shamu was the first intentional live capture of a healthy orca", "shamu was the first intentional life capture of a healthy or calm", "shyamu was the first intentional live capture of a healthy or calm" ]
shamu is was the first intentional live capture of a healthy orca
shamu was the first intentional live capture of a healthy or calm.
shahmu was the first intentional live capture of a healthy or calm. shamu was the first intentional live capture of a healthy orca. shamu was the first intentional life capture of a healthy or calm. shyamu was the first intentional live capture of a healthy or calm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shamu was the first intentional live capture of a healthy or calm', 'shahmu was the first intentional live capture of a healthy or calm', 'shamu was the first intentional live capture of a healthy orca', 'shamu was the first intentional life capture of a healthy or calm', 'shyamu was the first intentional live capture of a healthy or calm']
[ "montergo was dedicated as well as everything", "montergo was dedicated as well as every mountain", "montergo was dedicated as well as her mother", "montagu was dedicated as well as every mountain", "montagu was dedicated as well as everything" ]
montagu was a dedicatee as was sir henry marten
montergo was dedicated as well as everything.
montergo was dedicated as well as every mountain. montergo was dedicated as well as her mother. montagu was dedicated as well as every mountain. montagu was dedicated as well as everything.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['montergo was dedicated as well as everything', 'montergo was dedicated as well as every mountain', 'montergo was dedicated as well as her mother', 'montagu was dedicated as well as every mountain', 'montagu was dedicated as well as everything']
[ "the showcase is interrupted using vocal", "the showcase is uninterrupted using vocal", "the showcase is interrupted using the vocal", "the showcase is untrusted using vocal", "the showcase is uncharacter using vocal" ]
the showcase is handcrafted using oak wood
the showcase is interrupted using vocal.
the showcase is uninterrupted using vocal. the showcase is interrupted using the vocal. the showcase is untrusted using vocal. the showcase is uncharacter using vocal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the showcase is interrupted using vocal', 'the showcase is uninterrupted using vocal', 'the showcase is interrupted using the vocal', 'the showcase is untrusted using vocal', 'the showcase is uncharacter using vocal']
[ "botteflika ran for president as an independent candidate supported by the military", "border flicker ran for president as an independent candidate supported by the military", "border flicker ran for president as an independent candidate supported by the military", "botteflicker ran for president as an independent candidate supported by the military", "botte flicker ran for president as an independent candidate supported by the military" ]
bouteflika ran for president as an independent candidate supported by the military
botteflika ran for president as an independent candidate supported by the military.
border flicker ran for president as an independent candidate supported by the military. border flicker ran for president as an independent candidate supported by the military. botteflicker ran for president as an independent candidate supported by the military. botte flicker ran for president as an independent candidate supported by the military.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['botteflika ran for president as an independent candidate supported by the military', 'border flicker ran for president as an independent candidate supported by the military', 'border flicker ran for president as an independent candidate supported by the military', 'botteflicker ran for president as an independent candidate supported by the military', 'botte flicker ran for president as an independent candidate supported by the military']
[ "proccipitation is both spread throughout the year including snowfall in the winter", "preccipitation is both spread throughout the year including snowfall in the winter", "percipitation is both spread throughout the year including snowfall in the winter", "percipitation is both spread throughout the year including snowfall in the winter", "presipulation is both spread throughout the year including snowfall in the winter" ]
precipitation is well spread throughout the year including snowfall in the winter
proccipitation is both spread throughout the year including snowfall in the winter.
preccipitation is both spread throughout the year including snowfall in the winter. percipitation is both spread throughout the year including snowfall in the winter. percipitation is both spread throughout the year including snowfall in the winter. presipulation is both spread throughout the year including snowfall in the winter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['proccipitation is both spread throughout the year including snowfall in the winter', 'preccipitation is both spread throughout the year including snowfall in the winter', 'percipitation is both spread throughout the year including snowfall in the winter', 'percipitation is both spread throughout the year including snowfall in the winter', 'presipulation is both spread throughout the year including snowfall in the winter']
[ "however this is a common misconception", "however this is a common misconception", "however this is a common misconception", "however this is a common misconception", "however this is a common misconception" ]
however this is a common misconception
however this is a common misconception.
however this is a common misconception. however this is a common misconception. however this is a common misconception. however this is a common misconception.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however this is a common misconception', 'however this is a common misconception', 'however this is a common misconception', 'however this is a common misconception', 'however this is a common misconception']
[ "he was succeeded by a known pick only", "he was succeeded by a known pick on me", "he was succeeded by a known pick only", "he was succeeded by a known pick only", "he was succeeded by a known pick only" ]
he was succeeded by noam pikelny
he was succeeded by a known pick only.
he was succeeded by a known pick on me. he was succeeded by a known pick only. he was succeeded by a known pick only. he was succeeded by a known pick only.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was succeeded by a known pick only', 'he was succeeded by a known pick on me', 'he was succeeded by a known pick only', 'he was succeeded by a known pick only', 'he was succeeded by a known pick only']
[ "sal is in europe we are low", "see you in the next video", "sausanne europe puello", "sal is in europe well low", "sarah is in europe we are low" ]
sales in europe were low
sal is in europe we are low.
see you in the next video. sausanne europe puello. sal is in europe well low. sarah is in europe we are low.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sal is in europe we are low', 'see you in the next video', 'sausanne europe puello', 'sal is in europe well low', 'sarah is in europe we are low']
[ "enclosed is a photo of her and her albert clearly lands for the skew", "enclosed is a photo of her and her albert clearly learns for the skew", "enclosed is a photo of her and her albert clearly dance for the skew", "enclosed is a photo of her and her albert clearly learns from the skew", "inclosed is a photo of her and her albert clearly lands for the skew" ]
enclosed is a photo of her and her albert clearly lance fortescue
enclosed is a photo of her and her albert clearly lands for the skew.
enclosed is a photo of her and her albert clearly learns for the skew. enclosed is a photo of her and her albert clearly dance for the skew. enclosed is a photo of her and her albert clearly learns from the skew. inclosed is a photo of her and her albert clearly lands for the skew.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['enclosed is a photo of her and her albert clearly lands for the skew', 'enclosed is a photo of her and her albert clearly learns for the skew', 'enclosed is a photo of her and her albert clearly dance for the skew', 'enclosed is a photo of her and her albert clearly learns from the skew', 'inclosed is a photo of her and her albert clearly lands for the skew']
[ "the eiff assume roles as watchmen for the lease against the slavers", "the eiff assume roles as watchmen for the lees against the slavers", "the ephysium rose as watchman for the lease against the slavers", "the eiff assume roles as watchmen for the lease against the slavers", "the eiff assume roles as watchmen for the lees against the slavers" ]
the efe assumed roles as watchmen for the lese against the slavers
the eiff assume roles as watchmen for the lease against the slavers.
the eiff assume roles as watchmen for the lees against the slavers. the ephysium rose as watchman for the lease against the slavers. the eiff assume roles as watchmen for the lease against the slavers. the eiff assume roles as watchmen for the lees against the slavers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the eiff assume roles as watchmen for the lease against the slavers', 'the eiff assume roles as watchmen for the lees against the slavers', 'the ephysium rose as watchman for the lease against the slavers', 'the eiff assume roles as watchmen for the lease against the slavers', 'the eiff assume roles as watchmen for the lees against the slavers']
[ "but you should have seen her", "but you should have seen her", "but you should have seen her", "but you should have seen her", "but you should have seen her" ]
but you should have seen her
but you should have seen her.
but you should have seen her. but you should have seen her. but you should have seen her. but you should have seen her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but you should have seen her', 'but you should have seen her', 'but you should have seen her', 'but you should have seen her', 'but you should have seen her']
[ "as a general principle fe ions are used to oxidize the o", "as a janitor principal fe ions are used to oxidize the o", "as a janitor principle fe ions are used to oxidize the o", "as a genital principal fe ions are used to oxidize the o", "as a general principal fe ions are used to oxidize the o" ]
as a general principle fe ions are used to oxidize the ore
as a general principle fe ions are used to oxidize the o.
as a janitor principal fe ions are used to oxidize the o. as a janitor principle fe ions are used to oxidize the o. as a genital principal fe ions are used to oxidize the o. as a general principal fe ions are used to oxidize the o.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a general principle fe ions are used to oxidize the o', 'as a janitor principal fe ions are used to oxidize the o', 'as a janitor principle fe ions are used to oxidize the o', 'as a genital principal fe ions are used to oxidize the o', 'as a general principal fe ions are used to oxidize the o']
[ "it was a common facet of feudal law", "it was a common facet of feudal law", "it was a common facet of feudal law", "it was a common facet of feudal law", "it was a common facet of feudal law" ]
it was a common facet of feudal law
it was a common facet of feudal law.
it was a common facet of feudal law. it was a common facet of feudal law. it was a common facet of feudal law. it was a common facet of feudal law.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a common facet of feudal law', 'it was a common facet of feudal law', 'it was a common facet of feudal law', 'it was a common facet of feudal law', 'it was a common facet of feudal law']
[ "the wolffish is throat is also scattered with serrated teeth", "the woolfisher is throat is also scattered with serrated teeth", "the wolf fish is throat is also scattered with serrated teeth", "the wool fish is throat is also scattered with serrated teeth", "the woolfish is throat is also scattered with serrated teeth" ]
the wolffish is throat is also scattered with serrated teeth
the wolffish is throat is also scattered with serrated teeth.
the woolfisher is throat is also scattered with serrated teeth. the wolf fish is throat is also scattered with serrated teeth. the wool fish is throat is also scattered with serrated teeth. the woolfish is throat is also scattered with serrated teeth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the wolffish is throat is also scattered with serrated teeth', 'the woolfisher is throat is also scattered with serrated teeth', 'the wolf fish is throat is also scattered with serrated teeth', 'the wool fish is throat is also scattered with serrated teeth', 'the woolfish is throat is also scattered with serrated teeth']
[ "can it also contributes to the website justgames com", "can it also contribute to the website justgames com", "can i also contribute to the website justgames com", "can it also contributes to the website justgames com", "can it also contribute to the website chestgames com" ]
keene also contributes to the website chessgames dot com
can it also contributes to the website justgames com.
can it also contribute to the website justgames com. can i also contribute to the website justgames com. can it also contributes to the website justgames com. can it also contribute to the website chestgames com.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['can it also contributes to the website justgames com', 'can it also contribute to the website justgames com', 'can i also contribute to the website justgames com', 'can it also contributes to the website justgames com', 'can it also contribute to the website chestgames com']
[ "north dakota state university agriculture information page about prunus virginiana", "north dakota state university agricultural information page about prunus virginiana", "north dakota state university agriculture information page about prunas virginiana", "north dakota state university agricultural information page about prunas virginiana", "north dakota state university agriculture information page about prunus virginiana" ]
north dakota state university agriculture information page about prunus virginiana
north dakota state university agriculture information page about prunus virginiana.
north dakota state university agricultural information page about prunus virginiana. north dakota state university agriculture information page about prunas virginiana. north dakota state university agricultural information page about prunas virginiana. north dakota state university agriculture information page about prunus virginiana.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['north dakota state university agriculture information page about prunus virginiana', 'north dakota state university agricultural information page about prunus virginiana', 'north dakota state university agriculture information page about prunas virginiana', 'north dakota state university agricultural information page about prunas virginiana', 'north dakota state university agriculture information page about prunus virginiana']
[ "the group heads for hong kong", "the group heads for hong kong", "the group heads for hong kong", "the group heads for hong kong", "the group heads for hong kong" ]
the group heads for hong kong
the group heads for hong kong.
the group heads for hong kong. the group heads for hong kong. the group heads for hong kong. the group heads for hong kong.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the group heads for hong kong', 'the group heads for hong kong', 'the group heads for hong kong', 'the group heads for hong kong', 'the group heads for hong kong']
[ "amano was born in shizuoka shizuoka perfecture japan", "amano was born in shizuoka shizuoka perfecta japan", "amano was born in shizuoka shizuoka perfected japan", "amano was born in shizuoka shizuoka perfecture japan", "a man who was born in shizuoka shizuoka perfecture japan" ]
amano was born in shizuoka shizuoka prefecture japan
amano was born in shizuoka shizuoka perfecture japan.
amano was born in shizuoka shizuoka perfecta japan. amano was born in shizuoka shizuoka perfected japan. amano was born in shizuoka shizuoka perfecture japan. a man who was born in shizuoka shizuoka perfecture japan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['amano was born in shizuoka shizuoka perfecture japan', 'amano was born in shizuoka shizuoka perfecta japan', 'amano was born in shizuoka shizuoka perfected japan', 'amano was born in shizuoka shizuoka perfecture japan', 'a man who was born in shizuoka shizuoka perfecture japan']
[ "four very dal language is dogmatic because it is in a capy better physical", "for buried alanguage is dogmatic because it is in a capy better physical", "four very dull language is dogmatic because it is in a capy better physical", "four very dal language is dogmatic because it is in a capy better physical", "four very dal language is dogmatic because it is in a capley better physical" ]
for derrida language is dogmatic because it is inescapably metaphysical
four very dal language is dogmatic because it is in a capy better physical.
for buried alanguage is dogmatic because it is in a capy better physical. four very dull language is dogmatic because it is in a capy better physical. four very dal language is dogmatic because it is in a capy better physical. four very dal language is dogmatic because it is in a capley better physical.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['four very dal language is dogmatic because it is in a capy better physical', 'for buried alanguage is dogmatic because it is in a capy better physical', 'four very dull language is dogmatic because it is in a capy better physical', 'four very dal language is dogmatic because it is in a capy better physical', 'four very dal language is dogmatic because it is in a capley better physical']
[ "early versions were knee length but later ones were shorter", "early versions were knee length but later ones were shorter", "early versions were knee length but later ones were shorter", "early versions were knee length but later ones were shorter", "early versions were knee length but later ones were shorter" ]
early versions were knee length but later ones were shorter
early versions were knee length but later ones were shorter.
early versions were knee length but later ones were shorter. early versions were knee length but later ones were shorter. early versions were knee length but later ones were shorter. early versions were knee length but later ones were shorter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['early versions were knee length but later ones were shorter', 'early versions were knee length but later ones were shorter', 'early versions were knee length but later ones were shorter', 'early versions were knee length but later ones were shorter', 'early versions were knee length but later ones were shorter']
[ "guests can use a full practice range and separate short game facility", "guests can use a full practice range and separate shot game facility", "guests can use a full practice range and separate short game facility", "guests can use a full practice range and separate short game facility", "guests can use a full practice range and separate shot game facility" ]
guests can use a full practice range and separate short game facility
guests can use a full practice range and separate short game facility.
guests can use a full practice range and separate shot game facility. guests can use a full practice range and separate short game facility. guests can use a full practice range and separate short game facility. guests can use a full practice range and separate shot game facility.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['guests can use a full practice range and separate short game facility', 'guests can use a full practice range and separate shot game facility', 'guests can use a full practice range and separate short game facility', 'guests can use a full practice range and separate short game facility', 'guests can use a full practice range and separate shot game facility']
[ "the company now operates facilities in austin texas and edmund oklahoma", "the company now operates facilities in austin texas and edmond oklahoma", "the company now operates facilities in austin texas and edmund oklahoma", "the company now operates facilities in austin texas and edmond oklahoma", "the company now operates facilities in austin texas and edmont oklahoma" ]
the company now operates facilities in austin texas and edmond oklahoma
the company now operates facilities in austin texas and edmund oklahoma.
the company now operates facilities in austin texas and edmond oklahoma. the company now operates facilities in austin texas and edmund oklahoma. the company now operates facilities in austin texas and edmond oklahoma. the company now operates facilities in austin texas and edmont oklahoma.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company now operates facilities in austin texas and edmund oklahoma', 'the company now operates facilities in austin texas and edmond oklahoma', 'the company now operates facilities in austin texas and edmund oklahoma', 'the company now operates facilities in austin texas and edmond oklahoma', 'the company now operates facilities in austin texas and edmont oklahoma']
[ "because of the depression many families lost their land and subsequently became tenant farmers", "because of the depression many families lost their land and subsequently became tenant farmers", "because of the depression many families lost their land and subsequently became tenant farmers", "because of the depression many families lost their land and subsequently became tenant farmers", "because of the depression many families lost their land and subsequently became tenant farmers" ]
because of the depression many families lost their land and subsequently became tenant farmers
because of the depression many families lost their land and subsequently became tenant farmers.
because of the depression many families lost their land and subsequently became tenant farmers. because of the depression many families lost their land and subsequently became tenant farmers. because of the depression many families lost their land and subsequently became tenant farmers. because of the depression many families lost their land and subsequently became tenant farmers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because of the depression many families lost their land and subsequently became tenant farmers', 'because of the depression many families lost their land and subsequently became tenant farmers', 'because of the depression many families lost their land and subsequently became tenant farmers', 'because of the depression many families lost their land and subsequently became tenant farmers', 'because of the depression many families lost their land and subsequently became tenant farmers']
[ "the town is not wealthy for an abundance of pure white spirits", "the town is not worthy for an abundance of pure white spirits", "the town is not worthy for an abundance of pure white squirrels", "the town is not wealthy for an abundance of pure white squirrels", "the town is not worth it for an abundance of pure white spirits" ]
the town is noteworthy for an abundance of pure white squirrels
the town is not wealthy for an abundance of pure white spirits.
the town is not worthy for an abundance of pure white spirits. the town is not worthy for an abundance of pure white squirrels. the town is not wealthy for an abundance of pure white squirrels. the town is not worth it for an abundance of pure white spirits.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town is not wealthy for an abundance of pure white spirits', 'the town is not worthy for an abundance of pure white spirits', 'the town is not worthy for an abundance of pure white squirrels', 'the town is not wealthy for an abundance of pure white squirrels', 'the town is not worth it for an abundance of pure white spirits']
[ "copies of the infectiousness of fragile sturdy have been distributed widely", "copies of the infectiousness of fragile state have been distributed widely", "copies of the infectiousness of fragile sterile have been distributed widely", "copies of the infectiousness of fragile staring have been distributed widely", "copies of the infectiousness of fragile study have been distributed widely" ]
copies of the infant jesus of prague statue have been distributed widely
copies of the infectiousness of fragile sturdy have been distributed widely.
copies of the infectiousness of fragile state have been distributed widely. copies of the infectiousness of fragile sterile have been distributed widely. copies of the infectiousness of fragile staring have been distributed widely. copies of the infectiousness of fragile study have been distributed widely.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['copies of the infectiousness of fragile sturdy have been distributed widely', 'copies of the infectiousness of fragile state have been distributed widely', 'copies of the infectiousness of fragile sterile have been distributed widely', 'copies of the infectiousness of fragile staring have been distributed widely', 'copies of the infectiousness of fragile study have been distributed widely']
[ "the chestnut headed chacha lacka was considered a subspecies", "the chestnut headed chacha laka was considered a subspecies", "the chestnut headed chacha laka was considered a subspecies", "the chestnut headed chacha lacco was considered a subspecies", "the chestnut headed chacha lacka was considered a subspecies" ]
the chestnut headed chachalaca was considered a subspecies
the chestnut headed chacha lacka was considered a subspecies.
the chestnut headed chacha laka was considered a subspecies. the chestnut headed chacha laka was considered a subspecies. the chestnut headed chacha lacco was considered a subspecies. the chestnut headed chacha lacka was considered a subspecies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the chestnut headed chacha lacka was considered a subspecies', 'the chestnut headed chacha laka was considered a subspecies', 'the chestnut headed chacha laka was considered a subspecies', 'the chestnut headed chacha lacco was considered a subspecies', 'the chestnut headed chacha lacka was considered a subspecies']
[ "computing suppliers such as printer cartridges paper and batteries may be recycled as well", "computing supplies such as printer cartridges paper and batteries may be recycled as well", "computing suppliers such as printer cartridges paper and batteries may be recycled as well", "computing supplies such as printer cartridges paper and batteries may be recycled as well", "computing suppliers such as printer cartridges paper and batteries may be recycled as well" ]
computing supplies such as printer cartridges paper and batteries may be recycled as well
computing suppliers such as printer cartridges paper and batteries may be recycled as well.
computing supplies such as printer cartridges paper and batteries may be recycled as well. computing suppliers such as printer cartridges paper and batteries may be recycled as well. computing supplies such as printer cartridges paper and batteries may be recycled as well. computing suppliers such as printer cartridges paper and batteries may be recycled as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['computing suppliers such as printer cartridges paper and batteries may be recycled as well', 'computing supplies such as printer cartridges paper and batteries may be recycled as well', 'computing suppliers such as printer cartridges paper and batteries may be recycled as well', 'computing supplies such as printer cartridges paper and batteries may be recycled as well', 'computing suppliers such as printer cartridges paper and batteries may be recycled as well']
[ "they used to cook with lamb meat and with leftovers including mainly bread", "they used to cook with lamb meat and with leftovers including mainly bread", "they used to cook with lamb meat and with left overs including mainly bread", "they used to cook with lamb meat and with left overs including mainly bread", "they used to cook with lamb meat and with leftovers included mainly bread" ]
they used to cook with lamb meat and with left overs including mainly bread
they used to cook with lamb meat and with leftovers including mainly bread.
they used to cook with lamb meat and with leftovers including mainly bread. they used to cook with lamb meat and with left overs including mainly bread. they used to cook with lamb meat and with left overs including mainly bread. they used to cook with lamb meat and with leftovers included mainly bread.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they used to cook with lamb meat and with leftovers including mainly bread', 'they used to cook with lamb meat and with leftovers including mainly bread', 'they used to cook with lamb meat and with left overs including mainly bread', 'they used to cook with lamb meat and with left overs including mainly bread', 'they used to cook with lamb meat and with leftovers included mainly bread']
[ "his funeral at which parsons preached was attended by thousands", "his funeral at which parsons preached was attended by thousands", "his funeral at which parsons preached was attended by thousands", "his funeral at which parsons preached was attended by thousands", "his funeral at which parsons preached was attended by thousands" ]
his funeral at which parsons preached was attended by thousands
his funeral at which parsons preached was attended by thousands.
his funeral at which parsons preached was attended by thousands. his funeral at which parsons preached was attended by thousands. his funeral at which parsons preached was attended by thousands. his funeral at which parsons preached was attended by thousands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his funeral at which parsons preached was attended by thousands', 'his funeral at which parsons preached was attended by thousands', 'his funeral at which parsons preached was attended by thousands', 'his funeral at which parsons preached was attended by thousands', 'his funeral at which parsons preached was attended by thousands']
[ "but with a mistaken faith intelligence i plotted on", "but with the mistaken faith intelligence i plotted on", "but with a mistaken faith intelligence i applauded on", "but with a mistake in faith intelligence i plotted on", "but with a mistaken faith intelligence i plotted on" ]
but with a mistaken faith in intelligence i plodded on
but with a mistaken faith intelligence i plotted on.
but with the mistaken faith intelligence i plotted on. but with a mistaken faith intelligence i applauded on. but with a mistake in faith intelligence i plotted on. but with a mistaken faith intelligence i plotted on.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but with a mistaken faith intelligence i plotted on', 'but with the mistaken faith intelligence i plotted on', 'but with a mistaken faith intelligence i applauded on', 'but with a mistake in faith intelligence i plotted on', 'but with a mistaken faith intelligence i plotted on']
[ "hospital commander is colonel virginia egana", "hospital commander is calling virginia a gunner", "hospital commander is colonel virginia egana", "hospital command is colonel virginia egana", "hospital commander is calling virginia a ghana" ]
hospital commander is colonel virginia a garner
hospital commander is colonel virginia egana.
hospital commander is calling virginia a gunner. hospital commander is colonel virginia egana. hospital command is colonel virginia egana. hospital commander is calling virginia a ghana.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hospital commander is colonel virginia egana', 'hospital commander is calling virginia a gunner', 'hospital commander is colonel virginia egana', 'hospital command is colonel virginia egana', 'hospital commander is calling virginia a ghana']
[ "however lungbog refused to take anyone but mobile", "however lung bog refused to take anyone but mobile", "however lungbog refused to take anyone but nobody", "however lungbog refuse to take anyone but mobile", "however lung bog refuse to take anyone but mobile" ]
however lundborg refused to take anyone but nobile
however lungbog refused to take anyone but mobile.
however lung bog refused to take anyone but mobile. however lungbog refused to take anyone but nobody. however lungbog refuse to take anyone but mobile. however lung bog refuse to take anyone but mobile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however lungbog refused to take anyone but mobile', 'however lung bog refused to take anyone but mobile', 'however lungbog refused to take anyone but nobody', 'however lungbog refuse to take anyone but mobile', 'however lung bog refuse to take anyone but mobile']
[ "the fur becomes denser and thicker from fall through the winter", "the fur becomes denser antica from fall through the winter", "the fur becomes denser and thicker from the fall through the winter", "the fur becomes denser and thicker from fall through the winter", "the fur becomes denser antica from the fall through the winter" ]
the fur becomes denser and thicker from fall through the winter
the fur becomes denser and thicker from fall through the winter.
the fur becomes denser antica from fall through the winter. the fur becomes denser and thicker from the fall through the winter. the fur becomes denser and thicker from fall through the winter. the fur becomes denser antica from the fall through the winter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the fur becomes denser and thicker from fall through the winter', 'the fur becomes denser antica from fall through the winter', 'the fur becomes denser and thicker from the fall through the winter', 'the fur becomes denser and thicker from fall through the winter', 'the fur becomes denser antica from the fall through the winter']
[ "the patient is a stress to predict the difficulty of intubation", "the patient is obsessed to predict the difficulty of intubation", "the patient is a stress to predict the difficulty of intubation", "the patient is a stress to predict the difficulty of intuition", "the patient is a stress to predict the difficulty of intubation" ]
the patient is assessed to predict the difficulty of intubation
the patient is a stress to predict the difficulty of intubation.
the patient is obsessed to predict the difficulty of intubation. the patient is a stress to predict the difficulty of intubation. the patient is a stress to predict the difficulty of intuition. the patient is a stress to predict the difficulty of intubation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the patient is a stress to predict the difficulty of intubation', 'the patient is obsessed to predict the difficulty of intubation', 'the patient is a stress to predict the difficulty of intubation', 'the patient is a stress to predict the difficulty of intuition', 'the patient is a stress to predict the difficulty of intubation']
[ "traditionally a program must be specifically compiled to run online designated operating system", "traditionally a program must be specifically compiled to run online designated operating system", "traditionally a program must be specifically compiled to run on the designated operating system", "traditionally a program must be specifically compiled to run online designated operating system", "traditionally a program must be specifically compiled to run online designated operating system" ]
traditionally a program must be specifically compiled to run on a designated operating system
traditionally a program must be specifically compiled to run online designated operating system.
traditionally a program must be specifically compiled to run online designated operating system. traditionally a program must be specifically compiled to run on the designated operating system. traditionally a program must be specifically compiled to run online designated operating system. traditionally a program must be specifically compiled to run online designated operating system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['traditionally a program must be specifically compiled to run online designated operating system', 'traditionally a program must be specifically compiled to run online designated operating system', 'traditionally a program must be specifically compiled to run on the designated operating system', 'traditionally a program must be specifically compiled to run online designated operating system', 'traditionally a program must be specifically compiled to run online designated operating system']
[ "centrifugal compressors are common in very large applications", "center fugal compressors are common in very large applications", "center fugal compressors are common in very large applications", "center fugal compressors are common in very large applications", "center fugal compressors are common in very large applications" ]
centrifugal compressors are common in very large applications
centrifugal compressors are common in very large applications.
center fugal compressors are common in very large applications. center fugal compressors are common in very large applications. center fugal compressors are common in very large applications. center fugal compressors are common in very large applications.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['centrifugal compressors are common in very large applications', 'center fugal compressors are common in very large applications', 'center fugal compressors are common in very large applications', 'center fugal compressors are common in very large applications', 'center fugal compressors are common in very large applications']
[ "she told newspapers and magazines that she had evidence of water fraud", "she told newspapers and magazines that she had evidence of voter fraud", "she told newspapers and magazines that she had evidence of what a fraud", "she told newspapers and magazines that she had evidences of water fraud", "she told newspapers and magazines that she had evidence of water fraud" ]
she told newspapers and magazines that she had evidence of voter fraud
she told newspapers and magazines that she had evidence of water fraud.
she told newspapers and magazines that she had evidence of voter fraud. she told newspapers and magazines that she had evidence of what a fraud. she told newspapers and magazines that she had evidences of water fraud. she told newspapers and magazines that she had evidence of water fraud.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she told newspapers and magazines that she had evidence of water fraud', 'she told newspapers and magazines that she had evidence of voter fraud', 'she told newspapers and magazines that she had evidence of what a fraud', 'she told newspapers and magazines that she had evidences of water fraud', 'she told newspapers and magazines that she had evidence of water fraud']