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[ "in these cells the viral genes that encode envelop proteins have restricted expression", "in these cells the viral genes that encode and develop proteins have restricted expression", "in these cells the viral genes that encode enveloped proteins have restricted expression", "in these cells the viral genes that encode envelop proteins have restricted expression", "in these cells the viral genes that encode and develop proteins have restricted expression" ]
in these cells the viral genes that encode envelope proteins have restricted expression
in these cells the viral genes that encode envelop proteins have restricted expression.
in these cells the viral genes that encode and develop proteins have restricted expression. in these cells the viral genes that encode enveloped proteins have restricted expression. in these cells the viral genes that encode envelop proteins have restricted expression. in these cells the viral genes that encode and develop proteins have restricted expression.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in these cells the viral genes that encode envelop proteins have restricted expression', 'in these cells the viral genes that encode and develop proteins have restricted expression', 'in these cells the viral genes that encode enveloped proteins have restricted expression', 'in these cells the viral genes that encode envelop proteins have restricted expression', 'in these cells the viral genes that encode and develop proteins have restricted expression']
[ "celebrating the novru is holiday softened cut strike", "celebrating the novru is holiday softened cut stripe", "celebrating the novaroos holiday softened cut stripe", "celebrating the novaroos holiday softened cut strike", "celebrating the novaru is holiday softened cut strike" ]
celebrating the nowruz holiday was often constrained
celebrating the novru is holiday softened cut strike.
celebrating the novru is holiday softened cut stripe. celebrating the novaroos holiday softened cut stripe. celebrating the novaroos holiday softened cut strike. celebrating the novaru is holiday softened cut strike.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['celebrating the novru is holiday softened cut strike', 'celebrating the novru is holiday softened cut stripe', 'celebrating the novaroos holiday softened cut stripe', 'celebrating the novaroos holiday softened cut strike', 'celebrating the novaru is holiday softened cut strike']
[ "the county seat is what is sicker", "the county seat is what is sicker", "the county seat is wat sikha", "the county seat is wat sikka", "the county seat is watsika" ]
the county seat is watseka
the county seat is what is sicker.
the county seat is what is sicker. the county seat is wat sikha. the county seat is wat sikka. the county seat is watsika.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the county seat is what is sicker', 'the county seat is what is sicker', 'the county seat is wat sikha', 'the county seat is wat sikka', 'the county seat is watsika']
[ "the matter was settled in court to frostman is advantage", "the matter was settled in court to throesman is advantage", "the matter was settled in court to throesmann is advantage", "the matter was settled in court to throwsman is advantage", "the matter was settled in court to fraudsman is advantage" ]
the matter was settled in court to thorsman is advantage
the matter was settled in court to frostman is advantage.
the matter was settled in court to throesman is advantage. the matter was settled in court to throesmann is advantage. the matter was settled in court to throwsman is advantage. the matter was settled in court to fraudsman is advantage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the matter was settled in court to frostman is advantage', 'the matter was settled in court to throesman is advantage', 'the matter was settled in court to throesmann is advantage', 'the matter was settled in court to throwsman is advantage', 'the matter was settled in court to fraudsman is advantage']
[ "from the age of seven what is in practice on john is following", "from the age of seven what is the practice on john is following", "from the age of seven what is the practice on john is following", "from the age of seven morrison practiced on john is following", "from the age of seven what is in practice on john is following" ]
from the age of seven morrison practiced on john is cornet
from the age of seven what is in practice on john is following.
from the age of seven what is the practice on john is following. from the age of seven what is the practice on john is following. from the age of seven morrison practiced on john is following. from the age of seven what is in practice on john is following.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from the age of seven what is in practice on john is following', 'from the age of seven what is the practice on john is following', 'from the age of seven what is the practice on john is following', 'from the age of seven morrison practiced on john is following', 'from the age of seven what is in practice on john is following']
[ "this practice was mentioned in this and by justice herbs in brown and yellow taxi cat", "this practice was mentioned in dyson by justice herbs in brown and yellow taxi cat", "this practice was mentioned in this and by justice herbs in brown and yellow taxic cat", "this practice was mentioned in disson by justice herbs in brown and yellow taxi cat", "this practice was mentioned in this and by justice herbs in brown and yellow taxi cap" ]
this practice was mentioned in dissent by justice holmes in brown and yellow taxicab
this practice was mentioned in this and by justice herbs in brown and yellow taxi cat.
this practice was mentioned in dyson by justice herbs in brown and yellow taxi cat. this practice was mentioned in this and by justice herbs in brown and yellow taxic cat. this practice was mentioned in disson by justice herbs in brown and yellow taxi cat. this practice was mentioned in this and by justice herbs in brown and yellow taxi cap.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this practice was mentioned in this and by justice herbs in brown and yellow taxi cat', 'this practice was mentioned in dyson by justice herbs in brown and yellow taxi cat', 'this practice was mentioned in this and by justice herbs in brown and yellow taxic cat', 'this practice was mentioned in disson by justice herbs in brown and yellow taxi cat', 'this practice was mentioned in this and by justice herbs in brown and yellow taxi cap']
[ "this locomotive has been cosmetically restored and is on indoor display", "this locomotive has been cosmetically restored and is on into display", "this locomotive has been cosmically restored and is on indoor display", "this locomotive has been cosmetically restored and is on hindu display", "this locomotive has been cosmetically restored and is on in the display" ]
this locomotive has been cosmetically restored and is on indoor display
this locomotive has been cosmetically restored and is on indoor display.
this locomotive has been cosmetically restored and is on into display. this locomotive has been cosmically restored and is on indoor display. this locomotive has been cosmetically restored and is on hindu display. this locomotive has been cosmetically restored and is on in the display.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this locomotive has been cosmetically restored and is on indoor display', 'this locomotive has been cosmetically restored and is on into display', 'this locomotive has been cosmically restored and is on indoor display', 'this locomotive has been cosmetically restored and is on hindu display', 'this locomotive has been cosmetically restored and is on in the display']
[ "lombardy grew up in auckland", "lamardy grew up in auckland", "lombardy crew up in auckland", "lombardy grew up in oakland", "lombardi grew up in auckland" ]
lombardi grew up in oakland
lombardy grew up in auckland.
lamardy grew up in auckland. lombardy crew up in auckland. lombardy grew up in oakland. lombardi grew up in auckland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lombardy grew up in auckland', 'lamardy grew up in auckland', 'lombardy crew up in auckland', 'lombardy grew up in oakland', 'lombardi grew up in auckland']
[ "a group of young boys tanning near another boy sitting on a swing on a playground", "a group of young boys standing near another boy sitting on a swing on a playground", "a group of young boys standing near another boys sitting on a swing on a playground", "a group of young boys standing near and other boys sitting on a swing on a playground", "a group of young boys tanning near another boys sitting on a swing on a playground" ]
a group of young boys standing near another boy sitting on a swing on a playground
a group of young boys tanning near another boy sitting on a swing on a playground.
a group of young boys standing near another boy sitting on a swing on a playground. a group of young boys standing near another boys sitting on a swing on a playground. a group of young boys standing near and other boys sitting on a swing on a playground. a group of young boys tanning near another boys sitting on a swing on a playground.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a group of young boys tanning near another boy sitting on a swing on a playground', 'a group of young boys standing near another boy sitting on a swing on a playground', 'a group of young boys standing near another boys sitting on a swing on a playground', 'a group of young boys standing near and other boys sitting on a swing on a playground', 'a group of young boys tanning near another boys sitting on a swing on a playground']
[ "there is your cans upon it lawfully but in deep earnestness", "there is your cans upon it lawfully but in deep earnestness", "there is your cans upon it laughingly but in deep earnestness", "there is your cans upon it laughingly but in deep earnestness", "there is your hands upon it lawfully but in deep earnestness" ]
they shook hands upon it laughingly but in deep earnestness
there is your cans upon it lawfully but in deep earnestness.
there is your cans upon it lawfully but in deep earnestness. there is your cans upon it laughingly but in deep earnestness. there is your cans upon it laughingly but in deep earnestness. there is your hands upon it lawfully but in deep earnestness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is your cans upon it lawfully but in deep earnestness', 'there is your cans upon it lawfully but in deep earnestness', 'there is your cans upon it laughingly but in deep earnestness', 'there is your cans upon it laughingly but in deep earnestness', 'there is your hands upon it lawfully but in deep earnestness']
[ "the matured aimed content of night crap made it the source of some controversy", "the mature deemed content of night crap made it the source of some controversy", "the matured deemed content of night crap made it the source of some controversy", "the mature themed content of night crap made it the source of some controversy", "the matured aimed content of night crab made it the source of some controversy" ]
the mature themed content of night trap made it the source of some controversy
the matured aimed content of night crap made it the source of some controversy.
the mature deemed content of night crap made it the source of some controversy. the matured deemed content of night crap made it the source of some controversy. the mature themed content of night crap made it the source of some controversy. the matured aimed content of night crab made it the source of some controversy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the matured aimed content of night crap made it the source of some controversy', 'the mature deemed content of night crap made it the source of some controversy', 'the matured deemed content of night crap made it the source of some controversy', 'the mature themed content of night crap made it the source of some controversy', 'the matured aimed content of night crab made it the source of some controversy']
[ "this version was released worldwide under the name cole vellius valley of doom", "this version was released worldwide under the name govelius valley of doom", "this version was released worldwide under the name golvelius valley of doom", "this version was released worldwide under the name goldvelius valley of doom", "this version was released worldwide under the name cole velius valley of doom" ]
this version was released worldwide under the name golvellius valley of doom
this version was released worldwide under the name cole vellius valley of doom.
this version was released worldwide under the name govelius valley of doom. this version was released worldwide under the name golvelius valley of doom. this version was released worldwide under the name goldvelius valley of doom. this version was released worldwide under the name cole velius valley of doom.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this version was released worldwide under the name cole vellius valley of doom', 'this version was released worldwide under the name govelius valley of doom', 'this version was released worldwide under the name golvelius valley of doom', 'this version was released worldwide under the name goldvelius valley of doom', 'this version was released worldwide under the name cole velius valley of doom']
[ "he claimed the process to water help him feel better", "he claimed the process to water helping him feel better", "he claimed the process to water helps him feel better", "he claimed the process to water helped him feel better", "he claimed the process to water helps him feel better" ]
he claimed the processed water helped him feel better
he claimed the process to water help him feel better.
he claimed the process to water helping him feel better. he claimed the process to water helps him feel better. he claimed the process to water helped him feel better. he claimed the process to water helps him feel better.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he claimed the process to water help him feel better', 'he claimed the process to water helping him feel better', 'he claimed the process to water helps him feel better', 'he claimed the process to water helped him feel better', 'he claimed the process to water helps him feel better']
[ "see also list of axioms list of theorems and list of conjectures", "see also list of axioms list of theorems and list of conjectures", "see also a list of axioms list of theorems and list of conjectures", "see also list of axioms list of theorems and list of conjectures", "see also list of axioms list of theorems and list of conjectures" ]
see also list of axioms list of theorems and list of conjectures
see also list of axioms list of theorems and list of conjectures.
see also list of axioms list of theorems and list of conjectures. see also a list of axioms list of theorems and list of conjectures. see also list of axioms list of theorems and list of conjectures. see also list of axioms list of theorems and list of conjectures.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['see also list of axioms list of theorems and list of conjectures', 'see also list of axioms list of theorems and list of conjectures', 'see also a list of axioms list of theorems and list of conjectures', 'see also list of axioms list of theorems and list of conjectures', 'see also list of axioms list of theorems and list of conjectures']
[ "he was a right handed off brake bowler and a competent lower order batsman", "he was a right handed off brake bowler and a competent lower order batsman", "he was a right handed off break bowler and a competent lower order batsman", "he was a right handed off brake bowler and a competent lower order batsman", "he was a right handed off break bowler and a competent lower order batsman" ]
he was a right handed offbreak bowler and a competent lower order batsman
he was a right handed off brake bowler and a competent lower order batsman.
he was a right handed off brake bowler and a competent lower order batsman. he was a right handed off break bowler and a competent lower order batsman. he was a right handed off brake bowler and a competent lower order batsman. he was a right handed off break bowler and a competent lower order batsman.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a right handed off brake bowler and a competent lower order batsman', 'he was a right handed off brake bowler and a competent lower order batsman', 'he was a right handed off break bowler and a competent lower order batsman', 'he was a right handed off brake bowler and a competent lower order batsman', 'he was a right handed off break bowler and a competent lower order batsman']
[ "sound was provided through headsets given by the cabin crew", "sound was provided through headzets given by the cabin crew", "sound was provided through headsets given by the cabin crew", "sound was provided through the headsets given by the cabin crew", "sound was provided through headzads given by the cabin crew" ]
sound was provided through headsets given by the cabin crew
sound was provided through headsets given by the cabin crew.
sound was provided through headzets given by the cabin crew. sound was provided through headsets given by the cabin crew. sound was provided through the headsets given by the cabin crew. sound was provided through headzads given by the cabin crew.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sound was provided through headsets given by the cabin crew', 'sound was provided through headzets given by the cabin crew', 'sound was provided through headsets given by the cabin crew', 'sound was provided through the headsets given by the cabin crew', 'sound was provided through headzads given by the cabin crew']
[ "branagh has narrated several audio books such as the magicians nephew by c s lewis", "branagh has narrated several audiobooks such as the magician is nephew by c s lewis", "branagh has narrated several audiobooks such as the magicians nephew by c s lewis", "branagh has narrated several audio books such as the magician is nephew by c s lewis", "branagh has narrated several audio books such as the magicians nephew by c s lewis" ]
branagh has narrated several audiobooks such as the magician is nephew by c s lewis
branagh has narrated several audio books such as the magicians nephew by c s lewis.
branagh has narrated several audiobooks such as the magician is nephew by c s lewis. branagh has narrated several audiobooks such as the magicians nephew by c s lewis. branagh has narrated several audio books such as the magician is nephew by c s lewis. branagh has narrated several audio books such as the magicians nephew by c s lewis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['branagh has narrated several audio books such as the magicians nephew by c s lewis', 'branagh has narrated several audiobooks such as the magician is nephew by c s lewis', 'branagh has narrated several audiobooks such as the magicians nephew by c s lewis', 'branagh has narrated several audio books such as the magician is nephew by c s lewis', 'branagh has narrated several audio books such as the magicians nephew by c s lewis']
[ "the album features a duet with tony bennett on making whoopee", "the album features a duet with tony bennett on makin whoopi", "the album features a duet with tony bennett on making whoopi", "the album features a duet with tony bennett on makin whoopee", "the album features the duet with tony bennett on making whoopee" ]
the album features a duet with tony bennett on makin whoopee
the album features a duet with tony bennett on making whoopee.
the album features a duet with tony bennett on makin whoopi. the album features a duet with tony bennett on making whoopi. the album features a duet with tony bennett on makin whoopee. the album features the duet with tony bennett on making whoopee.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album features a duet with tony bennett on making whoopee', 'the album features a duet with tony bennett on makin whoopi', 'the album features a duet with tony bennett on making whoopi', 'the album features a duet with tony bennett on makin whoopee', 'the album features the duet with tony bennett on making whoopee']
[ "they have a voice at the table but no binding vote", "they have a voice at the table but no binding vote", "they have a voice at the table but no binding vote", "they have a voice at the table but no binding vote", "they have a voice at the table but no binding vote" ]
they have a voice at the table but no binding vote
they have a voice at the table but no binding vote.
they have a voice at the table but no binding vote. they have a voice at the table but no binding vote. they have a voice at the table but no binding vote. they have a voice at the table but no binding vote.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have a voice at the table but no binding vote', 'they have a voice at the table but no binding vote', 'they have a voice at the table but no binding vote', 'they have a voice at the table but no binding vote', 'they have a voice at the table but no binding vote']
[ "a polyhedron that has positive volume has vertices that are not all co planar", "a polyhedron that has positive volume has vertices that are not all co plainer", "a polyheatrin that has positive volume has vertices that are not all co plainer", "a polyhedron that has positive volume has vertices that are not all co plina", "a polyheatrin that has positive volume has vertices that are not all co planar" ]
a polyhedron that has positive volume has vertices that are not all coplanar
a polyhedron that has positive volume has vertices that are not all co planar.
a polyhedron that has positive volume has vertices that are not all co plainer. a polyheatrin that has positive volume has vertices that are not all co plainer. a polyhedron that has positive volume has vertices that are not all co plina. a polyheatrin that has positive volume has vertices that are not all co planar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a polyhedron that has positive volume has vertices that are not all co planar', 'a polyhedron that has positive volume has vertices that are not all co plainer', 'a polyheatrin that has positive volume has vertices that are not all co plainer', 'a polyhedron that has positive volume has vertices that are not all co plina', 'a polyheatrin that has positive volume has vertices that are not all co planar']
[ "the site interface is deliberately kept simple with tutorials offered in several areas", "the site interface is deliberately kept simple with tutorials offered in several areas", "the site interface is deliberately kept simple with tutorials offered in several areas", "the sci interface is deliberately kept simple with tutorials offered in several areas", "the science interface is deliberately kept simple with tutorials offered in several areas" ]
the site interface is deliberately kept simple with tutorials offered in several areas
the site interface is deliberately kept simple with tutorials offered in several areas.
the site interface is deliberately kept simple with tutorials offered in several areas. the site interface is deliberately kept simple with tutorials offered in several areas. the sci interface is deliberately kept simple with tutorials offered in several areas. the science interface is deliberately kept simple with tutorials offered in several areas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the site interface is deliberately kept simple with tutorials offered in several areas', 'the site interface is deliberately kept simple with tutorials offered in several areas', 'the site interface is deliberately kept simple with tutorials offered in several areas', 'the sci interface is deliberately kept simple with tutorials offered in several areas', 'the science interface is deliberately kept simple with tutorials offered in several areas']
[ "public schools must now offer pupils the choice between religion and secular courses", "public schools must now offer pupils the choice between religion and secular courses", "public schools must now offer pupils the choice between religion and secular courses", "public schools must now offer pupils the choice between religion and secular courses", "public schools must now offer pupils the choice between religion and secular courses" ]
public schools must now offer pupils the choice between religion and secular courses
public schools must now offer pupils the choice between religion and secular courses.
public schools must now offer pupils the choice between religion and secular courses. public schools must now offer pupils the choice between religion and secular courses. public schools must now offer pupils the choice between religion and secular courses. public schools must now offer pupils the choice between religion and secular courses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['public schools must now offer pupils the choice between religion and secular courses', 'public schools must now offer pupils the choice between religion and secular courses', 'public schools must now offer pupils the choice between religion and secular courses', 'public schools must now offer pupils the choice between religion and secular courses', 'public schools must now offer pupils the choice between religion and secular courses']
[ "by the age of warring states flogging had been largely replaced by a decapitation", "by the age of worrying states flogging had been largely replaced by a decapitation", "by the age of wearing states flogging had been largely replaced by a decapitation", "by the age of varying states flogging had been largely replaced by a decapitation", "by the age of warring states vlogging had been largely replaced by a decapitation" ]
by the age of warring states flogging had been largely replaced by decapitation
by the age of warring states flogging had been largely replaced by a decapitation.
by the age of worrying states flogging had been largely replaced by a decapitation. by the age of wearing states flogging had been largely replaced by a decapitation. by the age of varying states flogging had been largely replaced by a decapitation. by the age of warring states vlogging had been largely replaced by a decapitation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by the age of warring states flogging had been largely replaced by a decapitation', 'by the age of worrying states flogging had been largely replaced by a decapitation', 'by the age of wearing states flogging had been largely replaced by a decapitation', 'by the age of varying states flogging had been largely replaced by a decapitation', 'by the age of warring states vlogging had been largely replaced by a decapitation']
[ "the academy also holds a periodic book festival to encourage reading among the masses", "the academy also holds a periodic book festivals to encourage reading among the masses", "the academy also holds a periodic book festival to encourage reading among the masses", "the academy also holds a periodic book festivals to encourage reading among the masses", "the academy also holds a periodical book festival to encourage reading among the masses" ]
the akademi also holds periodic book festivals to encourage reading among the masses
the academy also holds a periodic book festival to encourage reading among the masses.
the academy also holds a periodic book festivals to encourage reading among the masses. the academy also holds a periodic book festival to encourage reading among the masses. the academy also holds a periodic book festivals to encourage reading among the masses. the academy also holds a periodical book festival to encourage reading among the masses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the academy also holds a periodic book festival to encourage reading among the masses', 'the academy also holds a periodic book festivals to encourage reading among the masses', 'the academy also holds a periodic book festival to encourage reading among the masses', 'the academy also holds a periodic book festivals to encourage reading among the masses', 'the academy also holds a periodical book festival to encourage reading among the masses']
[ "she was watered built and smashed beautiful teenager at the age of fifteen", "she was watered returns most beautiful teenager at the age of fifteen", "she was watered withstands most beautiful teenager at the age of fifteen", "she was watered built in small beautiful teenager at the age of fifteen", "she was watered witnessed most beautiful teenager at the age of fifteen" ]
she was voted britain is most beautiful teenager at the age of fifteen
she was watered built and smashed beautiful teenager at the age of fifteen.
she was watered returns most beautiful teenager at the age of fifteen. she was watered withstands most beautiful teenager at the age of fifteen. she was watered built in small beautiful teenager at the age of fifteen. she was watered witnessed most beautiful teenager at the age of fifteen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was watered built and smashed beautiful teenager at the age of fifteen', 'she was watered returns most beautiful teenager at the age of fifteen', 'she was watered withstands most beautiful teenager at the age of fifteen', 'she was watered built in small beautiful teenager at the age of fifteen', 'she was watered witnessed most beautiful teenager at the age of fifteen']
[ "crown is connected to the national railway network", "crown is connected to the national railway network", "cron is connected to the national railway network", "cron is connected to the national railway network", "the crown is connected to the national railway network" ]
colne is connected to the national railway network
crown is connected to the national railway network.
crown is connected to the national railway network. cron is connected to the national railway network. cron is connected to the national railway network. the crown is connected to the national railway network.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['crown is connected to the national railway network', 'crown is connected to the national railway network', 'cron is connected to the national railway network', 'cron is connected to the national railway network', 'the crown is connected to the national railway network']
[ "in stark terror tina fitties", "in starterra tina fitties", "instructor tina fitties", "in this dark terror turn our fees", "in this dark terror tune our fees" ]
in stark terror tina flees
in stark terror tina fitties.
in starterra tina fitties. instructor tina fitties. in this dark terror turn our fees. in this dark terror tune our fees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in stark terror tina fitties', 'in starterra tina fitties', 'instructor tina fitties', 'in this dark terror turn our fees', 'in this dark terror tune our fees']
[ "nations of the chakka region employ the part to treat stomach problems", "natives of the chakka region employ the part to treat stomach problems", "nations of the chakka region employ the part to treat stomach problems", "nations of the chakka region employed the bark to treat stomach problems", "natives of the chakka region employed the bark to treat stomach problems" ]
natives of the chaco region employ the bark to treat stomach problems
nations of the chakka region employ the part to treat stomach problems.
natives of the chakka region employ the part to treat stomach problems. nations of the chakka region employ the part to treat stomach problems. nations of the chakka region employed the bark to treat stomach problems. natives of the chakka region employed the bark to treat stomach problems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nations of the chakka region employ the part to treat stomach problems', 'natives of the chakka region employ the part to treat stomach problems', 'nations of the chakka region employ the part to treat stomach problems', 'nations of the chakka region employed the bark to treat stomach problems', 'natives of the chakka region employed the bark to treat stomach problems']
[ "the population growth rate between the two is roughly the same", "the population goes right between the two is roughly the same", "the population growth rate between the two is a roughly the same", "the population growth rate between the two is roughly the same", "the population goes right between the two is roughly the same" ]
the population growth rate between the two is roughly the same
the population growth rate between the two is roughly the same.
the population goes right between the two is roughly the same. the population growth rate between the two is a roughly the same. the population growth rate between the two is roughly the same. the population goes right between the two is roughly the same.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the population growth rate between the two is roughly the same', 'the population goes right between the two is roughly the same', 'the population growth rate between the two is a roughly the same', 'the population growth rate between the two is roughly the same', 'the population goes right between the two is roughly the same']
[ "blackstroke describes the dark electronic sound as frozen ballerade gay biker house", "blackstroke describes the dark electronic sound as frozen belaried gay biker house", "blackstroke describes the dark electronic sound as frozen ballerad gay biker house", "blackstroke describes the dark electronic sound as frozen billaried gay biker house", "blackstroke describes the dark electronic sound as frozen balaried gay biker house" ]
black strobe describe their dark electronic sound as frozen balearic gay biker house
blackstroke describes the dark electronic sound as frozen ballerade gay biker house.
blackstroke describes the dark electronic sound as frozen belaried gay biker house. blackstroke describes the dark electronic sound as frozen ballerad gay biker house. blackstroke describes the dark electronic sound as frozen billaried gay biker house. blackstroke describes the dark electronic sound as frozen balaried gay biker house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['blackstroke describes the dark electronic sound as frozen ballerade gay biker house', 'blackstroke describes the dark electronic sound as frozen belaried gay biker house', 'blackstroke describes the dark electronic sound as frozen ballerad gay biker house', 'blackstroke describes the dark electronic sound as frozen billaried gay biker house', 'blackstroke describes the dark electronic sound as frozen balaried gay biker house']
[ "the term raya came to denote an underprivileged tax ridden in socially inferior population", "the term raya came to denote an underprivileged tax written in socially inferior population", "the term raya came to denote an underprivileged tax written and socially inferior population", "the term raya came to denote an underprivileged tax ridden in socially inferior population", "the term raya came into to note an underprivileged tax ridden in socially inferior population" ]
the term rayah came to denote an underprivileged tax ridden and socially inferior population
the term raya came to denote an underprivileged tax ridden in socially inferior population.
the term raya came to denote an underprivileged tax written in socially inferior population. the term raya came to denote an underprivileged tax written and socially inferior population. the term raya came to denote an underprivileged tax ridden in socially inferior population. the term raya came into to note an underprivileged tax ridden in socially inferior population.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the term raya came to denote an underprivileged tax ridden in socially inferior population', 'the term raya came to denote an underprivileged tax written in socially inferior population', 'the term raya came to denote an underprivileged tax written and socially inferior population', 'the term raya came to denote an underprivileged tax ridden in socially inferior population', 'the term raya came into to note an underprivileged tax ridden in socially inferior population']
[ "it is on the record that they exclude us close upon two thousandnm", "it is on the record that the extruded close upon two thousandnm", "it is on the record that he extruded close upon two thousandnm", "it is on the record that they exclude us close upon two thousand annums", "it is on the record that they exclude us close upon two thousand annums" ]
it is on record that he executed close upon two thousand enamels
it is on the record that they exclude us close upon two thousandnm.
it is on the record that the extruded close upon two thousandnm. it is on the record that he extruded close upon two thousandnm. it is on the record that they exclude us close upon two thousand annums. it is on the record that they exclude us close upon two thousand annums.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is on the record that they exclude us close upon two thousandnm', 'it is on the record that the extruded close upon two thousandnm', 'it is on the record that he extruded close upon two thousandnm', 'it is on the record that they exclude us close upon two thousand annums', 'it is on the record that they exclude us close upon two thousand annums']
[ "comforter shells vary in design and color often designed to coordinate with other bedding", "comforter shelves vary in design and color often designed to coordinate with other bedding", "comforter shells vary in design and color often designed to coordinate with other bedding", "comforter shelves vary in design and color often designed to coordinate with other bedding", "comforter shelves very in design and color often designed to coordinate with other bedding" ]
comforter shells vary in design and color often designed to coordinate with other bedding
comforter shells vary in design and color often designed to coordinate with other bedding.
comforter shelves vary in design and color often designed to coordinate with other bedding. comforter shells vary in design and color often designed to coordinate with other bedding. comforter shelves vary in design and color often designed to coordinate with other bedding. comforter shelves very in design and color often designed to coordinate with other bedding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['comforter shells vary in design and color often designed to coordinate with other bedding', 'comforter shelves vary in design and color often designed to coordinate with other bedding', 'comforter shells vary in design and color often designed to coordinate with other bedding', 'comforter shelves vary in design and color often designed to coordinate with other bedding', 'comforter shelves very in design and color often designed to coordinate with other bedding']
[ "musal white even convinced hooker to move to california", "mussel white even convinced hooker to move to california", "musal white even convinced hooker to move to california", "musal white even convinced hooker to move to california", "musal white even convinced hooker to move to california" ]
musselwhite even convinced hooker to move to california
musal white even convinced hooker to move to california.
mussel white even convinced hooker to move to california. musal white even convinced hooker to move to california. musal white even convinced hooker to move to california. musal white even convinced hooker to move to california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['musal white even convinced hooker to move to california', 'mussel white even convinced hooker to move to california', 'musal white even convinced hooker to move to california', 'musal white even convinced hooker to move to california', 'musal white even convinced hooker to move to california']
[ "his funeral was well attended", "his fear was well attended", "the spiral was well attended", "the sphero was well attended", "his fury was well attended" ]
his funeral was well attended
his funeral was well attended.
his fear was well attended. the spiral was well attended. the sphero was well attended. his fury was well attended.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his funeral was well attended', 'his fear was well attended', 'the spiral was well attended', 'the sphero was well attended', 'his fury was well attended']
[ "instead the network and accompanying certificate were mailed to his widow", "instead the network and accompanying certificate were mailed to his widow", "instead the nero and accompanying certificate were mailed to his widow", "instead the neto and accompanying certificate were mailed to his widow", "instead the neto and accompanying certificate were mailed to his widow" ]
instead the medal and accompanying certificate were mailed to his widow
instead the network and accompanying certificate were mailed to his widow.
instead the network and accompanying certificate were mailed to his widow. instead the nero and accompanying certificate were mailed to his widow. instead the neto and accompanying certificate were mailed to his widow. instead the neto and accompanying certificate were mailed to his widow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead the network and accompanying certificate were mailed to his widow', 'instead the network and accompanying certificate were mailed to his widow', 'instead the nero and accompanying certificate were mailed to his widow', 'instead the neto and accompanying certificate were mailed to his widow', 'instead the neto and accompanying certificate were mailed to his widow']
[ "the current bridge is on the same alignment as its predecessor the marpo bridge", "the current bridge is on the same alignment as its predecessor the marble bridge", "the current bridge is on the same alignment as its predecessor the mapo bridge", "the current bridge is on the same alignment as its predecessor the marpo bridge", "the current bridge is on the same alignment as its predecessor the marpo bridge" ]
the current bridge is on the same alignment as its predecessor the marpole bridge
the current bridge is on the same alignment as its predecessor the marpo bridge.
the current bridge is on the same alignment as its predecessor the marble bridge. the current bridge is on the same alignment as its predecessor the mapo bridge. the current bridge is on the same alignment as its predecessor the marpo bridge. the current bridge is on the same alignment as its predecessor the marpo bridge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current bridge is on the same alignment as its predecessor the marpo bridge', 'the current bridge is on the same alignment as its predecessor the marble bridge', 'the current bridge is on the same alignment as its predecessor the mapo bridge', 'the current bridge is on the same alignment as its predecessor the marpo bridge', 'the current bridge is on the same alignment as its predecessor the marpo bridge']
[ "while attending the boston conservatory we heard a very singing along with his violin", "while attending the boston conservatory we heard ray perry singing along with his violin", "while attending the boston conservatory we heard a very singing along with his violin", "while attending the boston conservatory we heard ray perry singing along with his violin", "while attending the boston conservatory we heard a pair is singing along with his violin" ]
while attending the boston conservatory he heard ray perry singing along with his violin
while attending the boston conservatory we heard a very singing along with his violin.
while attending the boston conservatory we heard ray perry singing along with his violin. while attending the boston conservatory we heard a very singing along with his violin. while attending the boston conservatory we heard ray perry singing along with his violin. while attending the boston conservatory we heard a pair is singing along with his violin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['while attending the boston conservatory we heard a very singing along with his violin', 'while attending the boston conservatory we heard ray perry singing along with his violin', 'while attending the boston conservatory we heard a very singing along with his violin', 'while attending the boston conservatory we heard ray perry singing along with his violin', 'while attending the boston conservatory we heard a pair is singing along with his violin']
[ "he was sentenced to three months imprisonment", "he was sentenced to three months in prisonment", "he was sentenced to three months imprisonment", "he was sentenced to three months imprisonment", "he was sentenced to three months imprisonment" ]
he was sentenced to three months imprisonment
he was sentenced to three months imprisonment.
he was sentenced to three months in prisonment. he was sentenced to three months imprisonment. he was sentenced to three months imprisonment. he was sentenced to three months imprisonment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was sentenced to three months imprisonment', 'he was sentenced to three months in prisonment', 'he was sentenced to three months imprisonment', 'he was sentenced to three months imprisonment', 'he was sentenced to three months imprisonment']
[ "eventually they shown the band is name to the destroyers", "eventually they shown the band is name to the destroyers", "eventually they show them the band is name to the destroyers", "eventually they shone the band is name to the destroyers", "eventually they shown the band is name to the destroyers" ]
eventually they shortened the band is name to the destroyers
eventually they shown the band is name to the destroyers.
eventually they shown the band is name to the destroyers. eventually they show them the band is name to the destroyers. eventually they shone the band is name to the destroyers. eventually they shown the band is name to the destroyers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eventually they shown the band is name to the destroyers', 'eventually they shown the band is name to the destroyers', 'eventually they show them the band is name to the destroyers', 'eventually they shone the band is name to the destroyers', 'eventually they shown the band is name to the destroyers']
[ "your hall has two main classifications for equipment in its fleet", "yuhua has two main classifications for equipment in its fleet", "johor has two main classifications for equipment in its fleet", "your whore has two main classifications for equipment in its fleet", "your hall has two main classifications for equipment and its fleet" ]
u haul has two main classifications for equipment in its fleet
your hall has two main classifications for equipment in its fleet.
yuhua has two main classifications for equipment in its fleet. johor has two main classifications for equipment in its fleet. your whore has two main classifications for equipment in its fleet. your hall has two main classifications for equipment and its fleet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['your hall has two main classifications for equipment in its fleet', 'yuhua has two main classifications for equipment in its fleet', 'johor has two main classifications for equipment in its fleet', 'your whore has two main classifications for equipment in its fleet', 'your hall has two main classifications for equipment and its fleet']
[ "laksa paste to cook laksa can be purchased from supermarkets", "laxar paste to cook laxar can be purchased from supermarkets", "laksa paste to cook laksa can be purchased from supermarkets", "luxor paste to cook luxor can be purchased from supermarkets", "luxour paste to cook luxour can be purchased from supermarkets" ]
laksa paste to cook laksa can be purchased from supermarkets
laksa paste to cook laksa can be purchased from supermarkets.
laxar paste to cook laxar can be purchased from supermarkets. laksa paste to cook laksa can be purchased from supermarkets. luxor paste to cook luxor can be purchased from supermarkets. luxour paste to cook luxour can be purchased from supermarkets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['laksa paste to cook laksa can be purchased from supermarkets', 'laxar paste to cook laxar can be purchased from supermarkets', 'laksa paste to cook laksa can be purchased from supermarkets', 'luxor paste to cook luxor can be purchased from supermarkets', 'luxour paste to cook luxour can be purchased from supermarkets']
[ "the boat houses are seen the centers are the roaring community around the united states", "the boat houses are seen the centers are the growing community around the united states", "the boat houses are seen the centers are the roaring community around the united states", "the boat houses are seen the senses are the roaring community around the united states", "the boat houses are seen the centers are the growing community around the united states" ]
the boathouses are seen as centers of the rowing community around the united states
the boat houses are seen the centers are the roaring community around the united states.
the boat houses are seen the centers are the growing community around the united states. the boat houses are seen the centers are the roaring community around the united states. the boat houses are seen the senses are the roaring community around the united states. the boat houses are seen the centers are the growing community around the united states.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the boat houses are seen the centers are the roaring community around the united states', 'the boat houses are seen the centers are the growing community around the united states', 'the boat houses are seen the centers are the roaring community around the united states', 'the boat houses are seen the senses are the roaring community around the united states', 'the boat houses are seen the centers are the growing community around the united states']
[ "artaxias founded a capital artaxia on the arganarakis river and here makes cement", "artaxias founded a capital artaxia on the arcanarakis river and here makes cement", "artaxias founded a capital artaxia on the arganarakis river near lake sivan", "artaxias founded a capital artaxia on the arcanarakis river near lake sivan", "artaxia is founded a capital artaxia on the arganarakis river and here makes cement" ]
artaxias founded a capital artaxata on the araks river near lake sevan
artaxias founded a capital artaxia on the arganarakis river and here makes cement.
artaxias founded a capital artaxia on the arcanarakis river and here makes cement. artaxias founded a capital artaxia on the arganarakis river near lake sivan. artaxias founded a capital artaxia on the arcanarakis river near lake sivan. artaxia is founded a capital artaxia on the arganarakis river and here makes cement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['artaxias founded a capital artaxia on the arganarakis river and here makes cement', 'artaxias founded a capital artaxia on the arcanarakis river and here makes cement', 'artaxias founded a capital artaxia on the arganarakis river near lake sivan', 'artaxias founded a capital artaxia on the arcanarakis river near lake sivan', 'artaxia is founded a capital artaxia on the arganarakis river and here makes cement']
[ "other farms were town farm and men were farm", "all the farms were town farm and men were farm", "all the farms were a town farm and men were farm", "all the farms were a town farm and then a farm", "other farms were a town farm and men were farm" ]
other farms were town farm and manor farm
other farms were town farm and men were farm.
all the farms were town farm and men were farm. all the farms were a town farm and men were farm. all the farms were a town farm and then a farm. other farms were a town farm and men were farm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other farms were town farm and men were farm', 'all the farms were town farm and men were farm', 'all the farms were a town farm and men were farm', 'all the farms were a town farm and then a farm', 'other farms were a town farm and men were farm']
[ "it is southwest of coffinch the county state", "it is southwest of coffinch the county seat", "it is south west of coffinch the county state", "it is southwest of coffinch the county state", "it is south west of coffinch the county seat" ]
it is southwest of carthage the county seat
it is southwest of coffinch the county state.
it is southwest of coffinch the county seat. it is south west of coffinch the county state. it is southwest of coffinch the county state. it is south west of coffinch the county seat.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is southwest of coffinch the county state', 'it is southwest of coffinch the county seat', 'it is south west of coffinch the county state', 'it is southwest of coffinch the county state', 'it is south west of coffinch the county seat']
[ "she has two younger brothers poor henry and isaac george is", "she has two younger brothers poor henry and isaac george is", "she has two younger brothers poor henry and isaac george is", "she has two younger brothers poor henry and isaac george is", "she has two younger brothers poor henry and isaac george is" ]
she has two younger brothers paul henri and isaac georges
she has two younger brothers poor henry and isaac george is.
she has two younger brothers poor henry and isaac george is. she has two younger brothers poor henry and isaac george is. she has two younger brothers poor henry and isaac george is. she has two younger brothers poor henry and isaac george is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she has two younger brothers poor henry and isaac george is', 'she has two younger brothers poor henry and isaac george is', 'she has two younger brothers poor henry and isaac george is', 'she has two younger brothers poor henry and isaac george is', 'she has two younger brothers poor henry and isaac george is']
[ "no one tried", "no one tried", "no one tried", "no one tried", "no one tried" ]
no one tried
no one tried.
no one tried. no one tried. no one tried. no one tried.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no one tried', 'no one tried', 'no one tried', 'no one tried', 'no one tried']
[ "the project is expected to be completed five years from its commencement", "the project is expected to be completed five years from its commencement", "the project is expected to be completed five years from its commencement", "the project is expected to be completed five years from its commencement", "the project is expected to be completed five years from it is commencement" ]
the project is expected to be completed five years from its commencement
the project is expected to be completed five years from its commencement.
the project is expected to be completed five years from its commencement. the project is expected to be completed five years from its commencement. the project is expected to be completed five years from its commencement. the project is expected to be completed five years from it is commencement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the project is expected to be completed five years from its commencement', 'the project is expected to be completed five years from its commencement', 'the project is expected to be completed five years from its commencement', 'the project is expected to be completed five years from its commencement', 'the project is expected to be completed five years from it is commencement']
[ "taiwan is said to be visible from iruzaki on a clear day", "taiwan is said to be visible from irizaki on a clear day", "taiwan is said to be visible from irezaki on a clear day", "taiwan is said to be visible from erizaki on a clear day", "taiwan is said to be visible from irizaki on a clear day" ]
taiwan is said to be visible from irizaki on a clear day
taiwan is said to be visible from iruzaki on a clear day.
taiwan is said to be visible from irizaki on a clear day. taiwan is said to be visible from irezaki on a clear day. taiwan is said to be visible from erizaki on a clear day. taiwan is said to be visible from irizaki on a clear day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['taiwan is said to be visible from iruzaki on a clear day', 'taiwan is said to be visible from irizaki on a clear day', 'taiwan is said to be visible from irezaki on a clear day', 'taiwan is said to be visible from erizaki on a clear day', 'taiwan is said to be visible from irizaki on a clear day']
[ "two people are looking out of a storefront window", "two people are looking out of a storefront window", "two people are looking out of a storefront window", "two people are looking out of a storefront window", "two people are looking out of a storefront window" ]
two people are looking out of a storefront window
two people are looking out of a storefront window.
two people are looking out of a storefront window. two people are looking out of a storefront window. two people are looking out of a storefront window. two people are looking out of a storefront window.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two people are looking out of a storefront window', 'two people are looking out of a storefront window', 'two people are looking out of a storefront window', 'two people are looking out of a storefront window', 'two people are looking out of a storefront window']
[ "higher efficiency detectors produce peptide less time than no efficiency detectors", "higher efficiency detectives produce peptide less time than no efficiency detectives", "higher efficiency detectors produce petroid less time than no efficiency detectors", "higher efficiency detectors produce petroide less time than no efficiency detectors", "high efficiency detectors produce petroid less time than no efficiency detectors" ]
high efficiency detectors produce spectra in less time than low efficiency detectors
higher efficiency detectors produce peptide less time than no efficiency detectors.
higher efficiency detectives produce peptide less time than no efficiency detectives. higher efficiency detectors produce petroid less time than no efficiency detectors. higher efficiency detectors produce petroide less time than no efficiency detectors. high efficiency detectors produce petroid less time than no efficiency detectors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['higher efficiency detectors produce peptide less time than no efficiency detectors', 'higher efficiency detectives produce peptide less time than no efficiency detectives', 'higher efficiency detectors produce petroid less time than no efficiency detectors', 'higher efficiency detectors produce petroide less time than no efficiency detectors', 'high efficiency detectors produce petroid less time than no efficiency detectors']
[ "seeing became the principal", "singh became the principal", "seeing became the principle", "sing became the principal", "seeing became the principal" ]
singh became the principal
seeing became the principal.
singh became the principal. seeing became the principle. sing became the principal. seeing became the principal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['seeing became the principal', 'singh became the principal', 'seeing became the principle', 'sing became the principal', 'seeing became the principal']
[ "a second disused platform is still visible upside alongside the remaining active one", "a second disused platform is still visible upside alongside the remaining active one", "a second disuse platform is still visible upside alongside the remaining active one", "a second disused platform is still visible up south alongside the remaining active one", "a second disused platform is still visible upside along side the remaining active one" ]
a second disused platform is still visible opposite alongside the remaining active one
a second disused platform is still visible upside alongside the remaining active one.
a second disused platform is still visible upside alongside the remaining active one. a second disuse platform is still visible upside alongside the remaining active one. a second disused platform is still visible up south alongside the remaining active one. a second disused platform is still visible upside along side the remaining active one.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a second disused platform is still visible upside alongside the remaining active one', 'a second disused platform is still visible upside alongside the remaining active one', 'a second disuse platform is still visible upside alongside the remaining active one', 'a second disused platform is still visible up south alongside the remaining active one', 'a second disused platform is still visible upside along side the remaining active one']
[ "there are several challenges associated with gene science and therapies including delivery and specificity", "there are several challenges associated with gene science and therapies including delivery and specificity", "there are several challenges associated with gene science in therapies including delivery and specificity", "there are several challenges associated with gene science in therapies including delivery and specificity", "there are several challenges associated with gene science in therapies including delivery and specificity" ]
there are several challenges associated with gene silencing therapies including delivery and specificity
there are several challenges associated with gene science and therapies including delivery and specificity.
there are several challenges associated with gene science and therapies including delivery and specificity. there are several challenges associated with gene science in therapies including delivery and specificity. there are several challenges associated with gene science in therapies including delivery and specificity. there are several challenges associated with gene science in therapies including delivery and specificity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are several challenges associated with gene science and therapies including delivery and specificity', 'there are several challenges associated with gene science and therapies including delivery and specificity', 'there are several challenges associated with gene science in therapies including delivery and specificity', 'there are several challenges associated with gene science in therapies including delivery and specificity', 'there are several challenges associated with gene science in therapies including delivery and specificity']
[ "these painters were known as eccentrics for their unorthodox style and preference for individualism", "these painters were known as accentrics for their unorthodox style and preference for individualism", "these painters were known as eccentric for their unorthodox style and preference for individualism", "these painters were known as eccentric is for their unorthodox style and preference for individualism", "these painters were known as eccentrics for their unorthodox style and preference for individualism" ]
these painters were known as eccentrics for their unorthodox style and preference for individualism
these painters were known as eccentrics for their unorthodox style and preference for individualism.
these painters were known as accentrics for their unorthodox style and preference for individualism. these painters were known as eccentric for their unorthodox style and preference for individualism. these painters were known as eccentric is for their unorthodox style and preference for individualism. these painters were known as eccentrics for their unorthodox style and preference for individualism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these painters were known as eccentrics for their unorthodox style and preference for individualism', 'these painters were known as accentrics for their unorthodox style and preference for individualism', 'these painters were known as eccentric for their unorthodox style and preference for individualism', 'these painters were known as eccentric is for their unorthodox style and preference for individualism', 'these painters were known as eccentrics for their unorthodox style and preference for individualism']
[ "is opponent is shown kneeling disarmed and unhelmeted", "is apparently shown kneeling disarmed and unhelmeted", "is opponent is shown kneeling disarmed and unhelmeted", "is opponent is shown kneeling disarmed and unhelmed", "is apparently shown kneeling disarmed and unhelmed" ]
his opponent is shown kneeling disarmed and unhelmeted
is opponent is shown kneeling disarmed and unhelmeted.
is apparently shown kneeling disarmed and unhelmeted. is opponent is shown kneeling disarmed and unhelmeted. is opponent is shown kneeling disarmed and unhelmed. is apparently shown kneeling disarmed and unhelmed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is opponent is shown kneeling disarmed and unhelmeted', 'is apparently shown kneeling disarmed and unhelmeted', 'is opponent is shown kneeling disarmed and unhelmeted', 'is opponent is shown kneeling disarmed and unhelmed', 'is apparently shown kneeling disarmed and unhelmed']
[ "freda larson served as coordinator for married woman officers", "freda larsen served as coordinator for married woman officers", "freda larson served as coordinator for married woman officers", "freda larson served as coordinator for married women officers", "freda larson served as coordinator for married women officers" ]
freda larsson served as coordinator for married women officers
freda larson served as coordinator for married woman officers.
freda larsen served as coordinator for married woman officers. freda larson served as coordinator for married woman officers. freda larson served as coordinator for married women officers. freda larson served as coordinator for married women officers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['freda larson served as coordinator for married woman officers', 'freda larsen served as coordinator for married woman officers', 'freda larson served as coordinator for married woman officers', 'freda larson served as coordinator for married women officers', 'freda larson served as coordinator for married women officers']
[ "to the south is the city of matsumoto nagano prefecture is second largest city", "to the south is the city of matsumoto nagano prefecture is second larger city", "to the south is the city of matsumoto nagano prefecture is second largest city", "to the south is the city of matsumoto nagano prefecture is second large city", "to the south is the city of matsumoto nagano prefecture is second larger city" ]
to the south is the city of matsumoto nagano prefecture is second largest city
to the south is the city of matsumoto nagano prefecture is second largest city.
to the south is the city of matsumoto nagano prefecture is second larger city. to the south is the city of matsumoto nagano prefecture is second largest city. to the south is the city of matsumoto nagano prefecture is second large city. to the south is the city of matsumoto nagano prefecture is second larger city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to the south is the city of matsumoto nagano prefecture is second largest city', 'to the south is the city of matsumoto nagano prefecture is second larger city', 'to the south is the city of matsumoto nagano prefecture is second largest city', 'to the south is the city of matsumoto nagano prefecture is second large city', 'to the south is the city of matsumoto nagano prefecture is second larger city']
[ "in the following table the year correspond to the date of the ceremony", "in the following table the year correspond to the date of the ceremony", "in the following table the year corresponds to the date of the ceremony", "in the following table the year corresponds to the date of the ceremony", "in the following table the year correspond to the date of the ceremony" ]
in the following table the years correspond to the date of the ceremony
in the following table the year correspond to the date of the ceremony.
in the following table the year correspond to the date of the ceremony. in the following table the year corresponds to the date of the ceremony. in the following table the year corresponds to the date of the ceremony. in the following table the year correspond to the date of the ceremony.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the following table the year correspond to the date of the ceremony', 'in the following table the year correspond to the date of the ceremony', 'in the following table the year corresponds to the date of the ceremony', 'in the following table the year corresponds to the date of the ceremony', 'in the following table the year correspond to the date of the ceremony']
[ "burex is father was a carpenter who was in a union", "burek is father was a carpenter who was in a union", "burex father was a carpenter who was in a union", "burech is father was a carpenter who was in a union", "barrack is father was a carpenter who was in a union" ]
barek is father was a carpenter who was in a union
burex is father was a carpenter who was in a union.
burek is father was a carpenter who was in a union. burex father was a carpenter who was in a union. burech is father was a carpenter who was in a union. barrack is father was a carpenter who was in a union.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['burex is father was a carpenter who was in a union', 'burek is father was a carpenter who was in a union', 'burex father was a carpenter who was in a union', 'burech is father was a carpenter who was in a union', 'barrack is father was a carpenter who was in a union']
[ "all civilians in the captured cities were massacred by order of puerto mican", "all civilians in the captured cities were must cared by order of puerto mican", "all civilians in the captured cities were mass cared by order of puerto mican", "all civilians in the captured cities were mass cared by order of puerto mican", "all civilians in the captured cities were massacred by order of puerto mecan" ]
all civilians in the captured cities were massacred by order of potemkin
all civilians in the captured cities were massacred by order of puerto mican.
all civilians in the captured cities were must cared by order of puerto mican. all civilians in the captured cities were mass cared by order of puerto mican. all civilians in the captured cities were mass cared by order of puerto mican. all civilians in the captured cities were massacred by order of puerto mecan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all civilians in the captured cities were massacred by order of puerto mican', 'all civilians in the captured cities were must cared by order of puerto mican', 'all civilians in the captured cities were mass cared by order of puerto mican', 'all civilians in the captured cities were mass cared by order of puerto mican', 'all civilians in the captured cities were massacred by order of puerto mecan']
[ "awards are for four or five years and are competitive", "awards are for four or five years and are competitive", "awards are for four five years and are competitive", "awards are for four or five years and are competitive", "awards are for four or five years and are competitive" ]
awards are for four or five years and are competitive
awards are for four or five years and are competitive.
awards are for four or five years and are competitive. awards are for four five years and are competitive. awards are for four or five years and are competitive. awards are for four or five years and are competitive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['awards are for four or five years and are competitive', 'awards are for four or five years and are competitive', 'awards are for four five years and are competitive', 'awards are for four or five years and are competitive', 'awards are for four or five years and are competitive']
[ "there are psychological and physiological implications to the experience of fun", "there are psychological and physiological implications to the existence of fun", "direct psychological and physiological implications to the experience of fun", "there are psychological and physiological implications to the experience of fun", "there are psychological and physiological implications to the explosions of fun" ]
there are psychological and physiological implications to the experience of fun
there are psychological and physiological implications to the experience of fun.
there are psychological and physiological implications to the existence of fun. direct psychological and physiological implications to the experience of fun. there are psychological and physiological implications to the experience of fun. there are psychological and physiological implications to the explosions of fun.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are psychological and physiological implications to the experience of fun', 'there are psychological and physiological implications to the existence of fun', 'direct psychological and physiological implications to the experience of fun', 'there are psychological and physiological implications to the experience of fun', 'there are psychological and physiological implications to the explosions of fun']
[ "does not that give us a common ground", "does not that give us a common ground", "does not that give us a common ground", "does not that give us a common ground", "does not that give us a common ground" ]
does not that give us some common ground
does not that give us a common ground.
does not that give us a common ground. does not that give us a common ground. does not that give us a common ground. does not that give us a common ground.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['does not that give us a common ground', 'does not that give us a common ground', 'does not that give us a common ground', 'does not that give us a common ground', 'does not that give us a common ground']
[ "an english spring laos banal is foremost an upland flushing dog", "an english spring laos by noel is foremost an upland flushing dog", "an english spring large spanore is foremost an upland flushing dog", "an english spring lost banal is foremost an upland flushing dog", "an english spring last banal is foremost an upland flushing dog" ]
an english springer spaniel is foremost an upland flushing dog
an english spring laos banal is foremost an upland flushing dog.
an english spring laos by noel is foremost an upland flushing dog. an english spring large spanore is foremost an upland flushing dog. an english spring lost banal is foremost an upland flushing dog. an english spring last banal is foremost an upland flushing dog.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an english spring laos banal is foremost an upland flushing dog', 'an english spring laos by noel is foremost an upland flushing dog', 'an english spring large spanore is foremost an upland flushing dog', 'an english spring lost banal is foremost an upland flushing dog', 'an english spring last banal is foremost an upland flushing dog']
[ "both serious sam games debuted on windows and utilized pro teams in house series engine", "both serious sam games debuted on windows and utilized pro teams in house series engine", "both serious sam games reviewed on windows and utilized pro teams in house series engine", "both serious sam games debuted on windows and utilized pro teams in house series engine", "both serious sam games reviewed on windows and utilized pro teams in how serious engine" ]
both serious sam games debuted on windows and utilized croteam is in house serious engine
both serious sam games debuted on windows and utilized pro teams in house series engine.
both serious sam games debuted on windows and utilized pro teams in house series engine. both serious sam games reviewed on windows and utilized pro teams in house series engine. both serious sam games debuted on windows and utilized pro teams in house series engine. both serious sam games reviewed on windows and utilized pro teams in how serious engine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both serious sam games debuted on windows and utilized pro teams in house series engine', 'both serious sam games debuted on windows and utilized pro teams in house series engine', 'both serious sam games reviewed on windows and utilized pro teams in house series engine', 'both serious sam games debuted on windows and utilized pro teams in house series engine', 'both serious sam games reviewed on windows and utilized pro teams in how serious engine']
[ "in late years he taught around the world", "in late years he taught around the world", "in later years he taught around the world", "in late years he told around the world", "in the years he taught around the world" ]
in later years he toured around the world
in late years he taught around the world.
in late years he taught around the world. in later years he taught around the world. in late years he told around the world. in the years he taught around the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in late years he taught around the world', 'in late years he taught around the world', 'in later years he taught around the world', 'in late years he told around the world', 'in the years he taught around the world']
[ "most species are highly agile and regularly leave several meters between trees", "most species are highly agile and regularly leaps several meters between trees", "most species are highly agile and regularly leave several meters between trees", "most species are highly agile and regularly leap several meters between trees", "most species are highly agile and regularly leaps several meters between trees" ]
most species are highly agile and regularly leap several meters between trees
most species are highly agile and regularly leave several meters between trees.
most species are highly agile and regularly leaps several meters between trees. most species are highly agile and regularly leave several meters between trees. most species are highly agile and regularly leap several meters between trees. most species are highly agile and regularly leaps several meters between trees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most species are highly agile and regularly leave several meters between trees', 'most species are highly agile and regularly leaps several meters between trees', 'most species are highly agile and regularly leave several meters between trees', 'most species are highly agile and regularly leap several meters between trees', 'most species are highly agile and regularly leaps several meters between trees']
[ "the track will also lay the feature on akkuri is debut album acquiring", "the track will also lay the feature on akkura is debut album acquiring", "the track will also lay the feature on akku is debut album acquiring", "the track will also lay the feature on anchor is debut album acquiring", "the track will also lay the feature on akron is debut album acquiring" ]
the track would also later feature on aqua is debut album aquarium
the track will also lay the feature on akkuri is debut album acquiring.
the track will also lay the feature on akkura is debut album acquiring. the track will also lay the feature on akku is debut album acquiring. the track will also lay the feature on anchor is debut album acquiring. the track will also lay the feature on akron is debut album acquiring.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the track will also lay the feature on akkuri is debut album acquiring', 'the track will also lay the feature on akkura is debut album acquiring', 'the track will also lay the feature on akku is debut album acquiring', 'the track will also lay the feature on anchor is debut album acquiring', 'the track will also lay the feature on akron is debut album acquiring']
[ "i suppose i was born that way", "i suppose i was born that way", "i was born that way", "i was born that way", "i suppose i was born that way" ]
i suppose i was born that way
i suppose i was born that way.
i suppose i was born that way. i was born that way. i was born that way. i suppose i was born that way.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i suppose i was born that way', 'i suppose i was born that way', 'i was born that way', 'i was born that way', 'i suppose i was born that way']
[ "a plan released for the sega saturn was canceled", "a plan released for the sega saturn was canceled", "a plan released for the sega sudden was canceled", "a plan released for the sega southern was canceled", "a plan released for the sega sudden was canceled" ]
a planned release for the sega saturn was canceled
a plan released for the sega saturn was canceled.
a plan released for the sega saturn was canceled. a plan released for the sega sudden was canceled. a plan released for the sega southern was canceled. a plan released for the sega sudden was canceled.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a plan released for the sega saturn was canceled', 'a plan released for the sega saturn was canceled', 'a plan released for the sega sudden was canceled', 'a plan released for the sega southern was canceled', 'a plan released for the sega sudden was canceled']
[ "new arc is located at the northern tip of caledonia county vermont", "new arc is located at the northern tip of caledonia county of vermont", "new ark is located at the northern tip of caledonia county vermont", "new ark is located at the northern tip of caledonia county of vermont", "new arc is located at the northern tip of kalidunia county vermont" ]
newark is located at the northern tip of caledonia county vermont
new arc is located at the northern tip of caledonia county vermont.
new arc is located at the northern tip of caledonia county of vermont. new ark is located at the northern tip of caledonia county vermont. new ark is located at the northern tip of caledonia county of vermont. new arc is located at the northern tip of kalidunia county vermont.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['new arc is located at the northern tip of caledonia county vermont', 'new arc is located at the northern tip of caledonia county of vermont', 'new ark is located at the northern tip of caledonia county vermont', 'new ark is located at the northern tip of caledonia county of vermont', 'new arc is located at the northern tip of kalidunia county vermont']
[ "it is generally considered to be more libertarian than the progress party itself", "it is generally considered to be more libertarian than the progress party itself", "it is generally considered to be more libertarian than the progress party itself", "considered to be more libertarian than the progress party itself", "it is generally considered to be more libertarian than the progress potty itself" ]
it is generally considered to be more libertarian than the progress party itself
it is generally considered to be more libertarian than the progress party itself.
it is generally considered to be more libertarian than the progress party itself. it is generally considered to be more libertarian than the progress party itself. considered to be more libertarian than the progress party itself. it is generally considered to be more libertarian than the progress potty itself.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is generally considered to be more libertarian than the progress party itself', 'it is generally considered to be more libertarian than the progress party itself', 'it is generally considered to be more libertarian than the progress party itself', 'considered to be more libertarian than the progress party itself', 'it is generally considered to be more libertarian than the progress potty itself']
[ "this straight was formerly known as the irish channel", "this straight was formally known as the irish channel", "this strait was formerly known as the irish channel", "this strait was formerly known as the irish channel", "this straight was formerly known as the irish channel" ]
this strait was formerly known as the irish channel
this straight was formerly known as the irish channel.
this straight was formally known as the irish channel. this strait was formerly known as the irish channel. this strait was formerly known as the irish channel. this straight was formerly known as the irish channel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this straight was formerly known as the irish channel', 'this straight was formally known as the irish channel', 'this strait was formerly known as the irish channel', 'this strait was formerly known as the irish channel', 'this straight was formerly known as the irish channel']
[ "it is planned by print covered decorator with blind occurding", "it is planned by print covered decorator which blinds our curtain", "it is planned by print cover decorator with blind or curding", "it is planned by print cover decorator which blinds our curtain", "it is planned by print covered decorator with blind or curding" ]
it is flanked by twin towers decorated with blind arcading
it is planned by print covered decorator with blind occurding.
it is planned by print covered decorator which blinds our curtain. it is planned by print cover decorator with blind or curding. it is planned by print cover decorator which blinds our curtain. it is planned by print covered decorator with blind or curding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is planned by print covered decorator with blind occurding', 'it is planned by print covered decorator which blinds our curtain', 'it is planned by print cover decorator with blind or curding', 'it is planned by print cover decorator which blinds our curtain', 'it is planned by print covered decorator with blind or curding']
[ "an annual community talent show kiwainas capers occurs in the fall", "an annual community talent show kiwanis capers occurs in the fall", "an annual community talent show kiwainas capers occurs in the fall", "an annual community talent show kiwainis capers occurs in the fall", "an annual community talent show kiwanis capers occurs in the fall" ]
an annual community talent show kiwanis kapers occurs in the fall
an annual community talent show kiwainas capers occurs in the fall.
an annual community talent show kiwanis capers occurs in the fall. an annual community talent show kiwainas capers occurs in the fall. an annual community talent show kiwainis capers occurs in the fall. an annual community talent show kiwanis capers occurs in the fall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an annual community talent show kiwainas capers occurs in the fall', 'an annual community talent show kiwanis capers occurs in the fall', 'an annual community talent show kiwainas capers occurs in the fall', 'an annual community talent show kiwainis capers occurs in the fall', 'an annual community talent show kiwanis capers occurs in the fall']
[ "in the following two seasons it won promotion to the first division", "in the following two seasons it won promotion to the onest division", "in the following two seasons it won promotion to the first division", "in the following two seasons it won promotion to the first division", "in the following two seasons it won promotion to the onest division" ]
in the following two seasons it won promotion to the first division
in the following two seasons it won promotion to the first division.
in the following two seasons it won promotion to the onest division. in the following two seasons it won promotion to the first division. in the following two seasons it won promotion to the first division. in the following two seasons it won promotion to the onest division.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the following two seasons it won promotion to the first division', 'in the following two seasons it won promotion to the onest division', 'in the following two seasons it won promotion to the first division', 'in the following two seasons it won promotion to the first division', 'in the following two seasons it won promotion to the onest division']
[ "here is one of the chief speakers in cicero is d o r t o r", "here is one of the chief speakers in cicero is d o r t o r", "here is one of the chief speakers in cicero is d o r t w a", "use one of the chief speakers in cicero is d o r t o r", "use one of the chief speakers in cicero is d o r t o r" ]
he is one of the chief speakers in cicero is de oratore
here is one of the chief speakers in cicero is d o r t o r.
here is one of the chief speakers in cicero is d o r t o r. here is one of the chief speakers in cicero is d o r t w a. use one of the chief speakers in cicero is d o r t o r. use one of the chief speakers in cicero is d o r t o r.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here is one of the chief speakers in cicero is d o r t o r', 'here is one of the chief speakers in cicero is d o r t o r', 'here is one of the chief speakers in cicero is d o r t w a', 'use one of the chief speakers in cicero is d o r t o r', 'use one of the chief speakers in cicero is d o r t o r']
[ "the theory is covered in the classroom setting by academic faculty", "the theory is covered in the classroom setting by academic faculty", "the theory is covered in the classroom setting by academic faculty", "the theory is covered in the classroom setting by academic faculty", "the theory is covered in the classroom setting by academic faculty" ]
the theory is covered in the classroom setting by academic faculty
the theory is covered in the classroom setting by academic faculty.
the theory is covered in the classroom setting by academic faculty. the theory is covered in the classroom setting by academic faculty. the theory is covered in the classroom setting by academic faculty. the theory is covered in the classroom setting by academic faculty.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the theory is covered in the classroom setting by academic faculty', 'the theory is covered in the classroom setting by academic faculty', 'the theory is covered in the classroom setting by academic faculty', 'the theory is covered in the classroom setting by academic faculty', 'the theory is covered in the classroom setting by academic faculty']
[ "we continue in the captain until the d v by manchester city", "we continue in the capron until the diffy by manchester city", "we continue in the capron until the diffie by manchester city", "we continue in the capron until the defeat by manchester city", "he continued in the captain until the d v by manchester city" ]
he continued in the cup run until a defeat by manchester city
we continue in the captain until the d v by manchester city.
we continue in the capron until the diffy by manchester city. we continue in the capron until the diffie by manchester city. we continue in the capron until the defeat by manchester city. he continued in the captain until the d v by manchester city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we continue in the captain until the d v by manchester city', 'we continue in the capron until the diffy by manchester city', 'we continue in the capron until the diffie by manchester city', 'we continue in the capron until the defeat by manchester city', 'he continued in the captain until the d v by manchester city']
[ "then look you graduated from the united states air force academy", "then look you graduated from the united states air force academy", "thank you", "then look you graduated from the united states air force academy", "thank you" ]
lehmkuhl graduated from the united states air force academy
then look you graduated from the united states air force academy.
then look you graduated from the united states air force academy. thank you. then look you graduated from the united states air force academy. thank you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then look you graduated from the united states air force academy', 'then look you graduated from the united states air force academy', 'thank you', 'then look you graduated from the united states air force academy', 'thank you']
[ "it is open to the public year round by reservation", "it is open to the public year round by reservation", "it is open to the public year round by reservation", "it is open to the public year round by reservation", "it is open to the public year round by reservation" ]
it is open to the public year round by reservation
it is open to the public year round by reservation.
it is open to the public year round by reservation. it is open to the public year round by reservation. it is open to the public year round by reservation. it is open to the public year round by reservation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is open to the public year round by reservation', 'it is open to the public year round by reservation', 'it is open to the public year round by reservation', 'it is open to the public year round by reservation', 'it is open to the public year round by reservation']
[ "but as it was she was helpless", "but as it were she was helpless", "but as it was she was helpless", "but as it was she was helpless", "but as it was she was helpless" ]
but as it was she was helpless
but as it was she was helpless.
but as it were she was helpless. but as it was she was helpless. but as it was she was helpless. but as it was she was helpless.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but as it was she was helpless', 'but as it were she was helpless', 'but as it was she was helpless', 'but as it was she was helpless', 'but as it was she was helpless']
[ "this place has an orange red mouth and yellow flanges to the gate", "this links having orange red mouth and yellow flanges to the gate", "this place has an orange red mouth and yellow flanges with a gait", "the splinks have an orange red mouth and yellow flanges to the gate", "this place has an orange red mouth and yellow flanges to the gate" ]
nestlings have an orange red mouth and yellow flanges to the gape
this place has an orange red mouth and yellow flanges to the gate.
this links having orange red mouth and yellow flanges to the gate. this place has an orange red mouth and yellow flanges with a gait. the splinks have an orange red mouth and yellow flanges to the gate. this place has an orange red mouth and yellow flanges to the gate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this place has an orange red mouth and yellow flanges to the gate', 'this links having orange red mouth and yellow flanges to the gate', 'this place has an orange red mouth and yellow flanges with a gait', 'the splinks have an orange red mouth and yellow flanges to the gate', 'this place has an orange red mouth and yellow flanges to the gate']
[ "submerge streamline bodies use the vetted surface area", "submerge streamline bodies use the wetted surface area", "submerge streamlined bodies use the vetted surface area", "submersh streamline bodies use the vetted surface area", "submerged streamline bodies use the vetted surface area" ]
submerged streamlined bodies use the wetted surface area
submerge streamline bodies use the vetted surface area.
submerge streamline bodies use the wetted surface area. submerge streamlined bodies use the vetted surface area. submersh streamline bodies use the vetted surface area. submerged streamline bodies use the vetted surface area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['submerge streamline bodies use the vetted surface area', 'submerge streamline bodies use the wetted surface area', 'submerge streamlined bodies use the vetted surface area', 'submersh streamline bodies use the vetted surface area', 'submerged streamline bodies use the vetted surface area']
[ "according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicting", "according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive", "according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictory", "according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicted", "according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive" ]
according to hare prescriptivists cannot argue that amoralists are logically wrong or contradictive
according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicting.
according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive. according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictory. according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicted. according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicting', 'according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive', 'according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictory', 'according to hair prescriptivists cannot argue that a moralists are logically wrong or contradicted', 'according to hair prescriptivists cannot argue that a moralists are logically wrong or contradictive']
[ "another studio guitarist mike dizzy provided the acoustic lead guitar pots", "another studio guitarist mike dizzy provided the acoustic lead guitar parts", "another studio guitarist mike deese provided the acoustic lead guitar pots", "another studio guitarist mike deese provided the acoustic lead guitar parts", "another studio guitarist mike deasy provided the acoustic lead guitar pots" ]
another studio guitarist mike deasy provided the acoustic lead guitar parts
another studio guitarist mike dizzy provided the acoustic lead guitar pots.
another studio guitarist mike dizzy provided the acoustic lead guitar parts. another studio guitarist mike deese provided the acoustic lead guitar pots. another studio guitarist mike deese provided the acoustic lead guitar parts. another studio guitarist mike deasy provided the acoustic lead guitar pots.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another studio guitarist mike dizzy provided the acoustic lead guitar pots', 'another studio guitarist mike dizzy provided the acoustic lead guitar parts', 'another studio guitarist mike deese provided the acoustic lead guitar pots', 'another studio guitarist mike deese provided the acoustic lead guitar parts', 'another studio guitarist mike deasy provided the acoustic lead guitar pots']
[ "the community is served by the east penn school district", "the community is served by the east penn school district", "the community is served by the east penn school district", "the community is served by the east penn school district", "the community is served by the east penn school district" ]
the community is served by the east penn school district
the community is served by the east penn school district.
the community is served by the east penn school district. the community is served by the east penn school district. the community is served by the east penn school district. the community is served by the east penn school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the community is served by the east penn school district', 'the community is served by the east penn school district', 'the community is served by the east penn school district', 'the community is served by the east penn school district', 'the community is served by the east penn school district']
[ "this led him to join the parliamentary party", "this led him to join the parliamentary party", "this led him to join the parliamentry party", "this led him to join the parliamentary parliament", "this led him to join the parliamentary party" ]
this led him to join the parliamentary party
this led him to join the parliamentary party.
this led him to join the parliamentary party. this led him to join the parliamentry party. this led him to join the parliamentary parliament. this led him to join the parliamentary party.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this led him to join the parliamentary party', 'this led him to join the parliamentary party', 'this led him to join the parliamentry party', 'this led him to join the parliamentary parliament', 'this led him to join the parliamentary party']
[ "this is a monotypic species", "this is a monotypic species", "this is a monotopic species", "this is a monotypic species", "this is a monotypic species" ]
this is a monotypic species
this is a monotypic species.
this is a monotypic species. this is a monotopic species. this is a monotypic species. this is a monotypic species.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a monotypic species', 'this is a monotypic species', 'this is a monotopic species', 'this is a monotypic species', 'this is a monotypic species']
[ "this is the newest geographic number format", "this is the newest geographic number format", "this is the newest geographic number format", "this is the newest geographic number format", "this is the newest geographic number format" ]
this is the newest geographic number format
this is the newest geographic number format.
this is the newest geographic number format. this is the newest geographic number format. this is the newest geographic number format. this is the newest geographic number format.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is the newest geographic number format', 'this is the newest geographic number format', 'this is the newest geographic number format', 'this is the newest geographic number format', 'this is the newest geographic number format']
[ "spillers fiery nature is a byword said hardy", "spillers fiery nature is a by word said hardy", "spillers fiery nature is a by word said hardy", "spillers fiery nature is a byword said hardy", "spillers firey nature is a byword said hardy" ]
spiller is fiery nature is a byword said hardy
spillers fiery nature is a byword said hardy.
spillers fiery nature is a by word said hardy. spillers fiery nature is a by word said hardy. spillers fiery nature is a byword said hardy. spillers firey nature is a byword said hardy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['spillers fiery nature is a byword said hardy', 'spillers fiery nature is a by word said hardy', 'spillers fiery nature is a by word said hardy', 'spillers fiery nature is a byword said hardy', 'spillers firey nature is a byword said hardy']
[ "little is not about halfway is life", "little is not about half way is life", "little is not about hatway is life", "little is not about hat race life", "little is not about halfway is life" ]
little is known about hathwaye is life
little is not about halfway is life.
little is not about half way is life. little is not about hatway is life. little is not about hat race life. little is not about halfway is life.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['little is not about halfway is life', 'little is not about half way is life', 'little is not about hatway is life', 'little is not about hat race life', 'little is not about halfway is life']
[ "an application one would like to do better", "in application one would like to do better", "and application one would like to do better", "and application one would like to do better", "an application one would like to do better" ]
in applications one would like to do better
an application one would like to do better.
in application one would like to do better. and application one would like to do better. and application one would like to do better. an application one would like to do better.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an application one would like to do better', 'in application one would like to do better', 'and application one would like to do better', 'and application one would like to do better', 'an application one would like to do better']
[ "no no set the queen", "no no set the queen", "no no set the queen", "no no set the queen", "no no set the queen" ]
no no said the queen
no no set the queen.
no no set the queen. no no set the queen. no no set the queen. no no set the queen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no no set the queen', 'no no set the queen', 'no no set the queen', 'no no set the queen', 'no no set the queen']
[ "lady stubbs divides her time between london and pandorae", "lady stubbs divides her time between london and poundary", "lady stubbs divides her time between london and pandory", "lady stubbs divides her time between london and pandoori", "lady stubbs divides her time between london and pandora" ]
lady stubbs divides her time between london and banbury
lady stubbs divides her time between london and pandorae.
lady stubbs divides her time between london and poundary. lady stubbs divides her time between london and pandory. lady stubbs divides her time between london and pandoori. lady stubbs divides her time between london and pandora.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lady stubbs divides her time between london and pandorae', 'lady stubbs divides her time between london and poundary', 'lady stubbs divides her time between london and pandory', 'lady stubbs divides her time between london and pandoori', 'lady stubbs divides her time between london and pandora']
[ "there are a few budget hotels available in this more town", "there are a few budget hotels available in this small town", "there are a few budget hotels available in this mall town", "there are a few budget hotels available in this mortal", "there are a few budget hotels available in this mootown" ]
there a few budget hotels available in this small town
there are a few budget hotels available in this more town.
there are a few budget hotels available in this small town. there are a few budget hotels available in this mall town. there are a few budget hotels available in this mortal. there are a few budget hotels available in this mootown.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are a few budget hotels available in this more town', 'there are a few budget hotels available in this small town', 'there are a few budget hotels available in this mall town', 'there are a few budget hotels available in this mortal', 'there are a few budget hotels available in this mootown']
[ "offroad vehicles and horses are permitted but only on certain roads and trails", "offroad vehicles and horses are permitted but only on certain roads and trails", "off road vehicles and horses are permitted but only on certain roads and trails", "off road vehicles and horses are permitted but only on certain roads and trails", "off road vehicles and horses are permitted but only on certain roads and trails" ]
off road vehicles and horses are permitted but only on certain roads and trails
offroad vehicles and horses are permitted but only on certain roads and trails.
offroad vehicles and horses are permitted but only on certain roads and trails. off road vehicles and horses are permitted but only on certain roads and trails. off road vehicles and horses are permitted but only on certain roads and trails. off road vehicles and horses are permitted but only on certain roads and trails.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['offroad vehicles and horses are permitted but only on certain roads and trails', 'offroad vehicles and horses are permitted but only on certain roads and trails', 'off road vehicles and horses are permitted but only on certain roads and trails', 'off road vehicles and horses are permitted but only on certain roads and trails', 'off road vehicles and horses are permitted but only on certain roads and trails']
[ "this test is no longer frequently used", "this test is no longer frequently used", "this test is no longer frequently used", "this test is no longer frequently used", "this test is no longer frequently used" ]
this test is no longer frequently used
this test is no longer frequently used.
this test is no longer frequently used. this test is no longer frequently used. this test is no longer frequently used. this test is no longer frequently used.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this test is no longer frequently used', 'this test is no longer frequently used', 'this test is no longer frequently used', 'this test is no longer frequently used', 'this test is no longer frequently used']