hypothesis
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hypothesis_concatenated
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[ "bragg is hobbies included painting literature and a lifelong interest in gardening", "braggs hobbies included painting literature and a lifelong interest in gardening", "bragg is hobbies included painting literature and a lifelong interest in gardening", "bragg is hobbies included painting literature and a lifelong interest in gardening", "braggs hobbies included painting literature and a lifelong interest in gardening" ]
bragg is hobbies included painting literature and a lifelong interest in gardening
bragg is hobbies included painting literature and a lifelong interest in gardening.
braggs hobbies included painting literature and a lifelong interest in gardening. bragg is hobbies included painting literature and a lifelong interest in gardening. bragg is hobbies included painting literature and a lifelong interest in gardening. braggs hobbies included painting literature and a lifelong interest in gardening.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bragg is hobbies included painting literature and a lifelong interest in gardening', 'braggs hobbies included painting literature and a lifelong interest in gardening', 'bragg is hobbies included painting literature and a lifelong interest in gardening', 'bragg is hobbies included painting literature and a lifelong interest in gardening', 'braggs hobbies included painting literature and a lifelong interest in gardening']
[ "the basic design is influenced by that of panama", "the basic design is influenced by that of panama", "the basic design is influenced by that of panama", "the basic design is influenced by that of panema", "the basic design is influenced by a lot of panama" ]
the basic design is influenced by that of panama
the basic design is influenced by that of panama.
the basic design is influenced by that of panama. the basic design is influenced by that of panama. the basic design is influenced by that of panema. the basic design is influenced by a lot of panama.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the basic design is influenced by that of panama', 'the basic design is influenced by that of panama', 'the basic design is influenced by that of panama', 'the basic design is influenced by that of panema', 'the basic design is influenced by a lot of panama']
[ "chinese characters are often used instead", "chinese characters are often used instead", "chinese characters are often used in states", "chinese characters are often used in states", "chinese characters are often used in states" ]
chinese characters are often used instead
chinese characters are often used instead.
chinese characters are often used instead. chinese characters are often used in states. chinese characters are often used in states. chinese characters are often used in states.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chinese characters are often used instead', 'chinese characters are often used instead', 'chinese characters are often used in states', 'chinese characters are often used in states', 'chinese characters are often used in states']
[ "classes are usually divided by age groups as in secular schools", "classes are usually divided by age groups as in secular schools", "classes are usually divided by age groups as in secular schools", "classes are usually divided by age groups as in secular schools", "classes are usually divided by age groups as in secular schools" ]
classes are usually divided by age groups as in secular schools
classes are usually divided by age groups as in secular schools.
classes are usually divided by age groups as in secular schools. classes are usually divided by age groups as in secular schools. classes are usually divided by age groups as in secular schools. classes are usually divided by age groups as in secular schools.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['classes are usually divided by age groups as in secular schools', 'classes are usually divided by age groups as in secular schools', 'classes are usually divided by age groups as in secular schools', 'classes are usually divided by age groups as in secular schools', 'classes are usually divided by age groups as in secular schools']
[ "this produces a visible atmosphere or coma and sometimes also a tail", "this produces a visible atmosphere or coma and sometimes also a tail", "this produces a visible atmosphere or coma and sometimes also a tale", "this produces a visible atmosphere or coma and sometimes also a tale", "this produces a visible atmosphere or coma and sometimes also a tail" ]
this produces a visible atmosphere or coma and sometimes also a tail
this produces a visible atmosphere or coma and sometimes also a tail.
this produces a visible atmosphere or coma and sometimes also a tail. this produces a visible atmosphere or coma and sometimes also a tale. this produces a visible atmosphere or coma and sometimes also a tale. this produces a visible atmosphere or coma and sometimes also a tail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this produces a visible atmosphere or coma and sometimes also a tail', 'this produces a visible atmosphere or coma and sometimes also a tail', 'this produces a visible atmosphere or coma and sometimes also a tale', 'this produces a visible atmosphere or coma and sometimes also a tale', 'this produces a visible atmosphere or coma and sometimes also a tail']
[ "in two three minutes a shallow depression is created", "in two to three minutes a shallow depression is created", "in two three minutes a shallow depression is created", "in two to three minutes a shallow depression is created", "in two to three minutes a shallow depression is created" ]
in two to three minutes a shallow depression is created
in two three minutes a shallow depression is created.
in two to three minutes a shallow depression is created. in two three minutes a shallow depression is created. in two to three minutes a shallow depression is created. in two to three minutes a shallow depression is created.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in two three minutes a shallow depression is created', 'in two to three minutes a shallow depression is created', 'in two three minutes a shallow depression is created', 'in two to three minutes a shallow depression is created', 'in two to three minutes a shallow depression is created']
[ "this is almost always a benign condition for which knows the speak treatment is needed", "this is almost always a benign condition for which notes the speak treatment is needed", "this is almost always a benign condition for which it knows the speak treatment is needed", "this is almost always a benign condition for which no specific treatment is needed", "this is almost always a benign condition for which knows the strict treatment is needed" ]
this is almost always a benign condition for which no specific treatment is needed
this is almost always a benign condition for which knows the speak treatment is needed.
this is almost always a benign condition for which notes the speak treatment is needed. this is almost always a benign condition for which it knows the speak treatment is needed. this is almost always a benign condition for which no specific treatment is needed. this is almost always a benign condition for which knows the strict treatment is needed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is almost always a benign condition for which knows the speak treatment is needed', 'this is almost always a benign condition for which notes the speak treatment is needed', 'this is almost always a benign condition for which it knows the speak treatment is needed', 'this is almost always a benign condition for which no specific treatment is needed', 'this is almost always a benign condition for which knows the strict treatment is needed']
[ "you will be outcast", "you will be outcast", "you will be outcast", "you will be outcast", "you will be outcast" ]
you will be outcast
you will be outcast.
you will be outcast. you will be outcast. you will be outcast. you will be outcast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you will be outcast', 'you will be outcast', 'you will be outcast', 'you will be outcast', 'you will be outcast']
[ "it is located at the neem and river", "it is located at the neem and reaver", "it is located at the neiman river", "it is located at the neeman river", "it is located at the nehman river" ]
it is located at the neman river
it is located at the neem and river.
it is located at the neem and reaver. it is located at the neiman river. it is located at the neeman river. it is located at the nehman river.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is located at the neem and river', 'it is located at the neem and reaver', 'it is located at the neiman river', 'it is located at the neeman river', 'it is located at the nehman river']
[ "she founded an organization to assist victims of violence", "she founded an organization to assist victims of violence", "she found it an organization to assist victims of violence", "she found it an organization to assist victims of violence", "she founded an organization to assist victims of violence" ]
she founded an organization to assist victims of violence
she founded an organization to assist victims of violence.
she founded an organization to assist victims of violence. she found it an organization to assist victims of violence. she found it an organization to assist victims of violence. she founded an organization to assist victims of violence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she founded an organization to assist victims of violence', 'she founded an organization to assist victims of violence', 'she found it an organization to assist victims of violence', 'she found it an organization to assist victims of violence', 'she founded an organization to assist victims of violence']
[ "some towns may also have an annual block party", "some towns may also have an annual block party", "some towns may also have an annual block party", "some towns may also have an annual block party", "some towns may also have an annual blockpotting" ]
some towns may also have an annual block party
some towns may also have an annual block party.
some towns may also have an annual block party. some towns may also have an annual block party. some towns may also have an annual block party. some towns may also have an annual blockpotting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some towns may also have an annual block party', 'some towns may also have an annual block party', 'some towns may also have an annual block party', 'some towns may also have an annual block party', 'some towns may also have an annual blockpotting']
[ "genreid was revered by the rank and file of the i o of man constabulary", "genreid was revert by the rank and file of the i o of man constabulary", "genreid was reved by the rank and file of the i o of man constabulary", "genreid was reverted by the rank and file of the i o of man constabulary", "genreid was revered by the rank and fall of the i o of man constabulary" ]
kinrade was revered by the rank and file of the isle of man constabulary
genreid was revered by the rank and file of the i o of man constabulary.
genreid was revert by the rank and file of the i o of man constabulary. genreid was reved by the rank and file of the i o of man constabulary. genreid was reverted by the rank and file of the i o of man constabulary. genreid was revered by the rank and fall of the i o of man constabulary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['genreid was revered by the rank and file of the i o of man constabulary', 'genreid was revert by the rank and file of the i o of man constabulary', 'genreid was reved by the rank and file of the i o of man constabulary', 'genreid was reverted by the rank and file of the i o of man constabulary', 'genreid was revered by the rank and fall of the i o of man constabulary']
[ "a small organization that tara hawks is set up to defend the planet", "the terror hawks is set up to defend the planet", "the tara hawks is set up to defend the planet", "a small organization that terror hawks is set up to defend the planet", "a small organization the terahawks is set up to defend the planet" ]
a small organization the terrahawks is set up to defend the planet
a small organization that tara hawks is set up to defend the planet.
the terror hawks is set up to defend the planet. the tara hawks is set up to defend the planet. a small organization that terror hawks is set up to defend the planet. a small organization the terahawks is set up to defend the planet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a small organization that tara hawks is set up to defend the planet', 'the terror hawks is set up to defend the planet', 'the tara hawks is set up to defend the planet', 'a small organization that terror hawks is set up to defend the planet', 'a small organization the terahawks is set up to defend the planet']
[ "at last the two girls stand in front of the wizard", "at last the two girls stand in front of the vision", "at last the two girls stand in front of the visa", "at last the two girls stand in front of the wizard", "at last the two girls stand in front of the wiser" ]
at last the two girls stand in front of the wizard
at last the two girls stand in front of the wizard.
at last the two girls stand in front of the vision. at last the two girls stand in front of the visa. at last the two girls stand in front of the wizard. at last the two girls stand in front of the wiser.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at last the two girls stand in front of the wizard', 'at last the two girls stand in front of the vision', 'at last the two girls stand in front of the visa', 'at last the two girls stand in front of the wizard', 'at last the two girls stand in front of the wiser']
[ "it is the main peak of the outlier range", "it is the main peak of the autler range", "it is the main pick of the outler range", "it is the main peak of the outlaw range", "it is the main peak of the outler range" ]
it is the main peak of the ortler range
it is the main peak of the outlier range.
it is the main peak of the autler range. it is the main pick of the outler range. it is the main peak of the outlaw range. it is the main peak of the outler range.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the main peak of the outlier range', 'it is the main peak of the autler range', 'it is the main pick of the outler range', 'it is the main peak of the outlaw range', 'it is the main peak of the outler range']
[ "everyone of the opal brothers was an outstanding prize winning racer", "every one of the opal brothers was an outstanding prize winning racer", "every one of the opal brothers was an outstanding prize winning racer", "every one of the opal brothers was an outstanding prize winning racer", "everyone of the opal brothers was an outstanding prize winning racer" ]
every one of the opel brothers was an outstanding prize winning racer
everyone of the opal brothers was an outstanding prize winning racer.
every one of the opal brothers was an outstanding prize winning racer. every one of the opal brothers was an outstanding prize winning racer. every one of the opal brothers was an outstanding prize winning racer. everyone of the opal brothers was an outstanding prize winning racer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['everyone of the opal brothers was an outstanding prize winning racer', 'every one of the opal brothers was an outstanding prize winning racer', 'every one of the opal brothers was an outstanding prize winning racer', 'every one of the opal brothers was an outstanding prize winning racer', 'everyone of the opal brothers was an outstanding prize winning racer']
[ "unfortunately for paul there was not any trace for him", "unfortunately for poel there was not any trace for him", "unfortunately for boel there was not any trace for him", "unfortunately for paul there was not any trace for him", "unfortunately for paul there was not any trace for him" ]
unfortunately for powell there was not a next race for him
unfortunately for paul there was not any trace for him.
unfortunately for poel there was not any trace for him. unfortunately for boel there was not any trace for him. unfortunately for paul there was not any trace for him. unfortunately for paul there was not any trace for him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unfortunately for paul there was not any trace for him', 'unfortunately for poel there was not any trace for him', 'unfortunately for boel there was not any trace for him', 'unfortunately for paul there was not any trace for him', 'unfortunately for paul there was not any trace for him']
[ "all class are taught by full time professors", "all class are taught by full time professors", "all class are thought by full time professors", "all classes are taught by full time professors", "all classes are taught by full time professors" ]
all classes are taught by full time professors
all class are taught by full time professors.
all class are taught by full time professors. all class are thought by full time professors. all classes are taught by full time professors. all classes are taught by full time professors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all class are taught by full time professors', 'all class are taught by full time professors', 'all class are thought by full time professors', 'all classes are taught by full time professors', 'all classes are taught by full time professors']
[ "he also represented yugoslavia national basketball team internationally", "he also represented yugoslavian national basketball team internationally", "he also represented yugoslavia national basketball team internationally", "he also represent the yugoslavian national basketball team internationally", "he also represent the yugoslavian national basketball team internationally" ]
he also represented the yugoslavian national basketball team internationally
he also represented yugoslavia national basketball team internationally.
he also represented yugoslavian national basketball team internationally. he also represented yugoslavia national basketball team internationally. he also represent the yugoslavian national basketball team internationally. he also represent the yugoslavian national basketball team internationally.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also represented yugoslavia national basketball team internationally', 'he also represented yugoslavian national basketball team internationally', 'he also represented yugoslavia national basketball team internationally', 'he also represent the yugoslavian national basketball team internationally', 'he also represent the yugoslavian national basketball team internationally']
[ "a black and white dog is jumping through a black and white goose", "a black and white dog is jumping through a black and white moose", "a black and white dog is jumping to throw a black and white goose", "a black and white dog is jumping through a black and white goose", "a black and white dog is jumping through a black and white beast" ]
a black and white dog is jumping through a black and white hoop
a black and white dog is jumping through a black and white goose.
a black and white dog is jumping through a black and white moose. a black and white dog is jumping to throw a black and white goose. a black and white dog is jumping through a black and white goose. a black and white dog is jumping through a black and white beast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a black and white dog is jumping through a black and white goose', 'a black and white dog is jumping through a black and white moose', 'a black and white dog is jumping to throw a black and white goose', 'a black and white dog is jumping through a black and white goose', 'a black and white dog is jumping through a black and white beast']
[ "matsakis will be accused of smuggling antiquities", "madsakis will be accused of smuggling antiquities", "but suckis will be accused of smuggling antiquities", "medsakis will be accused of smuggling antiquities", "but sarkis will be accused of smuggling antiquities" ]
matsakis will be accused of smuggling antiquities
matsakis will be accused of smuggling antiquities.
madsakis will be accused of smuggling antiquities. but suckis will be accused of smuggling antiquities. medsakis will be accused of smuggling antiquities. but sarkis will be accused of smuggling antiquities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['matsakis will be accused of smuggling antiquities', 'madsakis will be accused of smuggling antiquities', 'but suckis will be accused of smuggling antiquities', 'medsakis will be accused of smuggling antiquities', 'but sarkis will be accused of smuggling antiquities']
[ "it is a very common female first name in contemporary israel", "it is a very common theme of first name in contemporary israel", "it is a very common theme all first name in contemporary israel", "it is a very common theme of this name in contemporary israel", "it is a very common theme all first name in contemporary israel" ]
it is a very common female first name in contemporary israel
it is a very common female first name in contemporary israel.
it is a very common theme of first name in contemporary israel. it is a very common theme all first name in contemporary israel. it is a very common theme of this name in contemporary israel. it is a very common theme all first name in contemporary israel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a very common female first name in contemporary israel', 'it is a very common theme of first name in contemporary israel', 'it is a very common theme all first name in contemporary israel', 'it is a very common theme of this name in contemporary israel', 'it is a very common theme all first name in contemporary israel']
[ "this is a species of edifice called monopeterial by richard villas", "this is a species of edifice called monopeteria by richard villas", "this is the species of edifice called monopeterial by vitruvius", "this is the species of edifice called monopeterial by richard villas", "this is a species of edifice called monopeteria by richard villas" ]
this is the species of edifice called monopteral by vitruvius
this is a species of edifice called monopeterial by richard villas.
this is a species of edifice called monopeteria by richard villas. this is the species of edifice called monopeterial by vitruvius. this is the species of edifice called monopeterial by richard villas. this is a species of edifice called monopeteria by richard villas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a species of edifice called monopeterial by richard villas', 'this is a species of edifice called monopeteria by richard villas', 'this is the species of edifice called monopeterial by vitruvius', 'this is the species of edifice called monopeterial by richard villas', 'this is a species of edifice called monopeteria by richard villas']
[ "several bodyguards were also killed", "several bodyguards were also killed", "several bodyguards were also killed", "several bodyguards were also killed", "several bodyguards were also killed" ]
several bodyguards were also killed
several bodyguards were also killed.
several bodyguards were also killed. several bodyguards were also killed. several bodyguards were also killed. several bodyguards were also killed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['several bodyguards were also killed', 'several bodyguards were also killed', 'several bodyguards were also killed', 'several bodyguards were also killed', 'several bodyguards were also killed']
[ "it is on display in the place liechtenstein in vienna austria", "it is on display in the play is liechtenstein in vienna austria", "it is on display in the place lichtenstein in vienna austria", "it is on display in the place liechtenstein in vienna austria", "it is on display in the place lichtenstein in vienna austria" ]
it is on display in the palais liechtenstein in vienna austria
it is on display in the place liechtenstein in vienna austria.
it is on display in the play is liechtenstein in vienna austria. it is on display in the place lichtenstein in vienna austria. it is on display in the place liechtenstein in vienna austria. it is on display in the place lichtenstein in vienna austria.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is on display in the place liechtenstein in vienna austria', 'it is on display in the play is liechtenstein in vienna austria', 'it is on display in the place lichtenstein in vienna austria', 'it is on display in the place liechtenstein in vienna austria', 'it is on display in the place lichtenstein in vienna austria']
[ "one of the men in our house is bad", "one off to men in our house is bad", "one of the men in our house is bad", "one off to men in our house is bad", "one of the men in our house is bad" ]
one of the men in our house is bad
one of the men in our house is bad.
one off to men in our house is bad. one of the men in our house is bad. one off to men in our house is bad. one of the men in our house is bad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the men in our house is bad', 'one off to men in our house is bad', 'one of the men in our house is bad', 'one off to men in our house is bad', 'one of the men in our house is bad']
[ "the university continues to manage three secondary schools for girls which it had inherited", "the university continues to manage three secondary schools for girls which it had inherited", "the university continues to manage three secondary schools for girls which it had inherited", "the university continues to manage three secondary schools for girls which it had inherited", "the university continues to manage three secondary schools for girls which it had inherited" ]
the university continues to manage three secondary schools for girls which it had inherited
the university continues to manage three secondary schools for girls which it had inherited.
the university continues to manage three secondary schools for girls which it had inherited. the university continues to manage three secondary schools for girls which it had inherited. the university continues to manage three secondary schools for girls which it had inherited. the university continues to manage three secondary schools for girls which it had inherited.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the university continues to manage three secondary schools for girls which it had inherited', 'the university continues to manage three secondary schools for girls which it had inherited', 'the university continues to manage three secondary schools for girls which it had inherited', 'the university continues to manage three secondary schools for girls which it had inherited', 'the university continues to manage three secondary schools for girls which it had inherited']
[ "he played college football at pittsburgh and graduated from woodland hills high school", "he played college football at pittsburgh and graduated from woodland hills high school", "he played college football at pittsburgh and graduated from woodland hills high school", "she played college football at pittsburgh and graduated from woodland hills high school", "we played college football at pittsburgh and graduated from woodland hills high school" ]
he played college football at pittsburgh and graduated from woodland hills high school
he played college football at pittsburgh and graduated from woodland hills high school.
he played college football at pittsburgh and graduated from woodland hills high school. he played college football at pittsburgh and graduated from woodland hills high school. she played college football at pittsburgh and graduated from woodland hills high school. we played college football at pittsburgh and graduated from woodland hills high school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he played college football at pittsburgh and graduated from woodland hills high school', 'he played college football at pittsburgh and graduated from woodland hills high school', 'he played college football at pittsburgh and graduated from woodland hills high school', 'she played college football at pittsburgh and graduated from woodland hills high school', 'we played college football at pittsburgh and graduated from woodland hills high school']
[ "the burden has become a popular attraction with guided tours available", "the building has become a popular attraction with guided tours available", "the burning has become a popular attraction with guided tours available", "the burden has become a popular attraction that guided to us available", "the burden has become a popular attraction with guided tours available" ]
the building has become a popular attraction with guided tours available
the burden has become a popular attraction with guided tours available.
the building has become a popular attraction with guided tours available. the burning has become a popular attraction with guided tours available. the burden has become a popular attraction that guided to us available. the burden has become a popular attraction with guided tours available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the burden has become a popular attraction with guided tours available', 'the building has become a popular attraction with guided tours available', 'the burning has become a popular attraction with guided tours available', 'the burden has become a popular attraction that guided to us available', 'the burden has become a popular attraction with guided tours available']
[ "your university now offers a mcgarry ward memorial bursary in political science", "your university now offers a mcgarry ward memorial bursary in political science", "your university now offers a mcgarry ward memorial bursary in political science", "york university now offers a mcgarry ward memorial bursary in political science", "york university now offers a mcgarry ward memorial bursary in political science" ]
york university now offers a margery ward memorial bursary in political science
your university now offers a mcgarry ward memorial bursary in political science.
your university now offers a mcgarry ward memorial bursary in political science. your university now offers a mcgarry ward memorial bursary in political science. york university now offers a mcgarry ward memorial bursary in political science. york university now offers a mcgarry ward memorial bursary in political science.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['your university now offers a mcgarry ward memorial bursary in political science', 'your university now offers a mcgarry ward memorial bursary in political science', 'your university now offers a mcgarry ward memorial bursary in political science', 'york university now offers a mcgarry ward memorial bursary in political science', 'york university now offers a mcgarry ward memorial bursary in political science']
[ "its usual definition combines integrations of traction and multiplication", "it is usual definition combines integrations of traction and multiplication", "its visual definition combines integrations of traction and multiplication", "it is visual definition combines integrations of traction and multiplication", "its usual definition combines integration subtraction and multiplication" ]
its usual definition combines integration subtraction and multiplication
its usual definition combines integrations of traction and multiplication.
it is usual definition combines integrations of traction and multiplication. its visual definition combines integrations of traction and multiplication. it is visual definition combines integrations of traction and multiplication. its usual definition combines integration subtraction and multiplication.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its usual definition combines integrations of traction and multiplication', 'it is usual definition combines integrations of traction and multiplication', 'its visual definition combines integrations of traction and multiplication', 'it is visual definition combines integrations of traction and multiplication', 'its usual definition combines integration subtraction and multiplication']
[ "aksar benis nebroska spelled backwards", "achser benis nebroska spelled backwards", "aksar benis nebraska spelled backwards", "achser benis nebraska spelled backwards", "achser benis nebruska spelled backwards" ]
ak sar ben is nebraska spelled backwards
aksar benis nebroska spelled backwards.
achser benis nebroska spelled backwards. aksar benis nebraska spelled backwards. achser benis nebraska spelled backwards. achser benis nebruska spelled backwards.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['aksar benis nebroska spelled backwards', 'achser benis nebroska spelled backwards', 'aksar benis nebraska spelled backwards', 'achser benis nebraska spelled backwards', 'achser benis nebruska spelled backwards']
[ "guna tauruson is the father of hela tauruson and an norwegian international", "guna tauruson is the father of hawaii tauruson and an norwegian international", "guna tauruson is the father of hervat tauruson and an norwegian international", "guna tauruson is the father of hauva tauruson and an norwegian international", "guna tauruson is the father of helvetauruson and an norwegian international" ]
gunnar thoresen is the father of hallvar thoresen another norwegian international
guna tauruson is the father of hela tauruson and an norwegian international.
guna tauruson is the father of hawaii tauruson and an norwegian international. guna tauruson is the father of hervat tauruson and an norwegian international. guna tauruson is the father of hauva tauruson and an norwegian international. guna tauruson is the father of helvetauruson and an norwegian international.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['guna tauruson is the father of hela tauruson and an norwegian international', 'guna tauruson is the father of hawaii tauruson and an norwegian international', 'guna tauruson is the father of hervat tauruson and an norwegian international', 'guna tauruson is the father of hauva tauruson and an norwegian international', 'guna tauruson is the father of helvetauruson and an norwegian international']
[ "started a house of prayer called the little potion", "started a house of prayer called the little potion", "started a house of prayer called the little potion", "started a house of prayer called the little potion", "started a house of prayer called the little potion" ]
he started a house of prayer called the little portion
started a house of prayer called the little potion.
started a house of prayer called the little potion. started a house of prayer called the little potion. started a house of prayer called the little potion. started a house of prayer called the little potion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['started a house of prayer called the little potion', 'started a house of prayer called the little potion', 'started a house of prayer called the little potion', 'started a house of prayer called the little potion', 'started a house of prayer called the little potion']
[ "floyd burdy the first extra haul", "floyd birdied the first extra hull", "floyd burdy the first extra haul", "floyd birdied the first extra haul", "floyd burdy the first extra hull" ]
floyd birdied the first extra hole
floyd burdy the first extra haul.
floyd birdied the first extra hull. floyd burdy the first extra haul. floyd birdied the first extra haul. floyd burdy the first extra hull.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['floyd burdy the first extra haul', 'floyd birdied the first extra hull', 'floyd burdy the first extra haul', 'floyd birdied the first extra haul', 'floyd burdy the first extra hull']
[ "these were used during an employer is book comitech puppets", "these were used in the employer is book comitech puppets", "these were user and employer is book comitech puppets", "these were used in my employer is book comitech puppets", "these were used during an employer is book comitech orbits" ]
these were used in his employer is book cometic orbits
these were used during an employer is book comitech puppets.
these were used in the employer is book comitech puppets. these were user and employer is book comitech puppets. these were used in my employer is book comitech puppets. these were used during an employer is book comitech orbits.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these were used during an employer is book comitech puppets', 'these were used in the employer is book comitech puppets', 'these were user and employer is book comitech puppets', 'these were used in my employer is book comitech puppets', 'these were used during an employer is book comitech orbits']
[ "the cavalry flows through the saddest part of the district", "the cavalry flows through the sad and most part of the district", "the cavalry flows through the sad almost part of the district", "the cavalry flows through the sadermost part of the district", "the cavalry flows through the sadamos part of the bistik" ]
the kaveri flows through the southernmost part of the district
the cavalry flows through the saddest part of the district.
the cavalry flows through the sad and most part of the district. the cavalry flows through the sad almost part of the district. the cavalry flows through the sadermost part of the district. the cavalry flows through the sadamos part of the bistik.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cavalry flows through the saddest part of the district', 'the cavalry flows through the sad and most part of the district', 'the cavalry flows through the sad almost part of the district', 'the cavalry flows through the sadermost part of the district', 'the cavalry flows through the sadamos part of the bistik']
[ "in the third short see for a special gps adventure", "in the third short see for a special gbus adventure", "in the third short see for a special gbc is adventure", "in the third short see for a special gbs adventure", "in the third short see for a special chibuses adventure" ]
in the third short supers special chibiusa is adventure
in the third short see for a special gps adventure.
in the third short see for a special gbus adventure. in the third short see for a special gbc is adventure. in the third short see for a special gbs adventure. in the third short see for a special chibuses adventure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the third short see for a special gps adventure', 'in the third short see for a special gbus adventure', 'in the third short see for a special gbc is adventure', 'in the third short see for a special gbs adventure', 'in the third short see for a special chibuses adventure']
[ "for information on this creation see the earl of dynbar", "for information on this creation see the earl of dynebar", "for information on this creation see the earl of dimebar", "for information on this creation see the url of dynebar", "for information on this creation see the url of dynbar" ]
for information on this creation see the earl of denbigh
for information on this creation see the earl of dynbar.
for information on this creation see the earl of dynebar. for information on this creation see the earl of dimebar. for information on this creation see the url of dynebar. for information on this creation see the url of dynbar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for information on this creation see the earl of dynbar', 'for information on this creation see the earl of dynebar', 'for information on this creation see the earl of dimebar', 'for information on this creation see the url of dynebar', 'for information on this creation see the url of dynbar']
[ "however belly spots or chest spots are not acceptable and are considered foils", "however belly spots or chest spots are not acceptable and are considered false", "however belly spots or chest spots are not acceptable and are considered faults", "however belly spots or chest spots are not acceptable and are considered false", "however belly spots or chest spots are not acceptable and are considered foils" ]
however belly spots or chest spots are not acceptable and are considered faults
however belly spots or chest spots are not acceptable and are considered foils.
however belly spots or chest spots are not acceptable and are considered false. however belly spots or chest spots are not acceptable and are considered faults. however belly spots or chest spots are not acceptable and are considered false. however belly spots or chest spots are not acceptable and are considered foils.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however belly spots or chest spots are not acceptable and are considered foils', 'however belly spots or chest spots are not acceptable and are considered false', 'however belly spots or chest spots are not acceptable and are considered faults', 'however belly spots or chest spots are not acceptable and are considered false', 'however belly spots or chest spots are not acceptable and are considered foils']
[ "simultaneously syracuse university in assault o keefe had been appointed as a university professor", "simultaneously syracuse university in assault o keefe had been appointed as a university professor", "simultaneously syracuse university in assault o keefe had been appointed as a university professor", "simultaneously syracuse university in assault o keefe had been appointed as a university professor", "simultaneously syracuse university and professor o keefe had been appointed as a university professor" ]
simultaneously syracuse university announced that o keefe had been appointed as a university professor
simultaneously syracuse university in assault o keefe had been appointed as a university professor.
simultaneously syracuse university in assault o keefe had been appointed as a university professor. simultaneously syracuse university in assault o keefe had been appointed as a university professor. simultaneously syracuse university in assault o keefe had been appointed as a university professor. simultaneously syracuse university and professor o keefe had been appointed as a university professor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['simultaneously syracuse university in assault o keefe had been appointed as a university professor', 'simultaneously syracuse university in assault o keefe had been appointed as a university professor', 'simultaneously syracuse university in assault o keefe had been appointed as a university professor', 'simultaneously syracuse university in assault o keefe had been appointed as a university professor', 'simultaneously syracuse university and professor o keefe had been appointed as a university professor']
[ "subject and object our eyes together", "subject and object wise together", "subject and object wise together", "subject and object to eyes together", "subject and object oils together" ]
subject and object arise together
subject and object our eyes together.
subject and object wise together. subject and object wise together. subject and object to eyes together. subject and object oils together.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['subject and object our eyes together', 'subject and object wise together', 'subject and object wise together', 'subject and object to eyes together', 'subject and object oils together']
[ "the small butterflies present a sexual dimorphism", "the small butterfly is present as sexual dimorphism", "the small butterfly is present a sexual dimorphism", "the small butterfly is present a sexual dimorphism", "the small butterfly is present a sexual dimorphism" ]
these small butterflies present a sexual dimorphism
the small butterflies present a sexual dimorphism.
the small butterfly is present as sexual dimorphism. the small butterfly is present a sexual dimorphism. the small butterfly is present a sexual dimorphism. the small butterfly is present a sexual dimorphism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the small butterflies present a sexual dimorphism', 'the small butterfly is present as sexual dimorphism', 'the small butterfly is present a sexual dimorphism', 'the small butterfly is present a sexual dimorphism', 'the small butterfly is present a sexual dimorphism']
[ "fresh water and sea water fishing is the major profession in the region", "fresh water and seawater fishing is the major profession in the region", "fresh water and sea water fishing is the major profession in the region", "fresh water and sea water fishing is the major profession in the region", "fresh water and sea water fishing is the major profession in the region" ]
freshwater and seawater fishing is the major profession in the region
fresh water and sea water fishing is the major profession in the region.
fresh water and seawater fishing is the major profession in the region. fresh water and sea water fishing is the major profession in the region. fresh water and sea water fishing is the major profession in the region. fresh water and sea water fishing is the major profession in the region.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fresh water and sea water fishing is the major profession in the region', 'fresh water and seawater fishing is the major profession in the region', 'fresh water and sea water fishing is the major profession in the region', 'fresh water and sea water fishing is the major profession in the region', 'fresh water and sea water fishing is the major profession in the region']
[ "i was not talking to anybody", "i was not talking to anybody", "i was not talking to anybody", "i was not talking to anybody", "i was not talking to anybody" ]
i was not talking to anybody
i was not talking to anybody.
i was not talking to anybody. i was not talking to anybody. i was not talking to anybody. i was not talking to anybody.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i was not talking to anybody', 'i was not talking to anybody', 'i was not talking to anybody', 'i was not talking to anybody', 'i was not talking to anybody']
[ "runway made of asphalt reinforced more asphalt took a parenting", "runway made of asphalt reinforced in more asphalt took a parenting", "runway made of asphalt reinforced to more asphalt took a parenting", "the runway made of asphalt reinforced more asphalt took a parenting", "the runway made of asphalt reinforced a more asphalt took a parenting" ]
the runway made of asphalt reinforced with more asphalt took a pounding
runway made of asphalt reinforced more asphalt took a parenting.
runway made of asphalt reinforced in more asphalt took a parenting. runway made of asphalt reinforced to more asphalt took a parenting. the runway made of asphalt reinforced more asphalt took a parenting. the runway made of asphalt reinforced a more asphalt took a parenting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['runway made of asphalt reinforced more asphalt took a parenting', 'runway made of asphalt reinforced in more asphalt took a parenting', 'runway made of asphalt reinforced to more asphalt took a parenting', 'the runway made of asphalt reinforced more asphalt took a parenting', 'the runway made of asphalt reinforced a more asphalt took a parenting']
[ "caspar f goodrich in command", "kaspar f goodrich in command", "caspire f goodrich in command", "caspar f goodrich in command", "caspar f goodrich in command" ]
caspar f goodrich in command
caspar f goodrich in command.
kaspar f goodrich in command. caspire f goodrich in command. caspar f goodrich in command. caspar f goodrich in command.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['caspar f goodrich in command', 'kaspar f goodrich in command', 'caspire f goodrich in command', 'caspar f goodrich in command', 'caspar f goodrich in command']
[ "she authorized a second book entitled susana the banana", "she authorized a second book entitled susana the banana", "she authorized a second book entitled susanna the banana", "she authorized a second book entitled susanna the banana", "she authorized a second book entitled susana the banana" ]
she authored a second book entitled suzanna the banana
she authorized a second book entitled susana the banana.
she authorized a second book entitled susana the banana. she authorized a second book entitled susanna the banana. she authorized a second book entitled susanna the banana. she authorized a second book entitled susana the banana.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she authorized a second book entitled susana the banana', 'she authorized a second book entitled susana the banana', 'she authorized a second book entitled susanna the banana', 'she authorized a second book entitled susanna the banana', 'she authorized a second book entitled susana the banana']
[ "plus the whole thing is derivative", "plus the whole thing is derivative", "plus the whole thing is derivative", "plus the whole thing is derivative", "plus the whole thing is derivative" ]
plus the whole thing is derivative
plus the whole thing is derivative.
plus the whole thing is derivative. plus the whole thing is derivative. plus the whole thing is derivative. plus the whole thing is derivative.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['plus the whole thing is derivative', 'plus the whole thing is derivative', 'plus the whole thing is derivative', 'plus the whole thing is derivative', 'plus the whole thing is derivative']
[ "detective mick ward actively worked to increase tensions between sherrick and the kelly gang", "detective mick ward actively worked to increase tensions between sherrick and the kelli gang", "detective mick ward actively worked to increase tensions between sherrick and the kelli gang", "detective mick ward actively worked to increase tensions between sherrick and the kelley gang", "detective mick ward actively worked to increase tensions between cherit and the kelly gang" ]
detective mick ward actively worked to increase tensions between sherritt and the kelly gang
detective mick ward actively worked to increase tensions between sherrick and the kelly gang.
detective mick ward actively worked to increase tensions between sherrick and the kelli gang. detective mick ward actively worked to increase tensions between sherrick and the kelli gang. detective mick ward actively worked to increase tensions between sherrick and the kelley gang. detective mick ward actively worked to increase tensions between cherit and the kelly gang.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['detective mick ward actively worked to increase tensions between sherrick and the kelly gang', 'detective mick ward actively worked to increase tensions between sherrick and the kelli gang', 'detective mick ward actively worked to increase tensions between sherrick and the kelli gang', 'detective mick ward actively worked to increase tensions between sherrick and the kelley gang', 'detective mick ward actively worked to increase tensions between cherit and the kelly gang']
[ "they are now held at the national archives of q", "they are now held at the national archives of q", "they are now held up by national archives of q", "they are now held at the national archives of cuba", "they are now held at the national archives of q" ]
they are now held at the national archives at kew
they are now held at the national archives of q.
they are now held at the national archives of q. they are now held up by national archives of q. they are now held at the national archives of cuba. they are now held at the national archives of q.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are now held at the national archives of q', 'they are now held at the national archives of q', 'they are now held up by national archives of q', 'they are now held at the national archives of cuba', 'they are now held at the national archives of q']
[ "to get back at her schillinger tells mcmanus the truth about ross is death", "to get back at her shellinger tells mcmanus the truth about ross is death", "to get back at her schillingur tells mcmanus the truth about ross is death", "to get back at her schillingert tells mcmanus the truth about ross is death", "to get back at her shelling her tells mcmanus the truth about ross is death" ]
to get back at her schillinger tells mcmanus the truth about ross death
to get back at her schillinger tells mcmanus the truth about ross is death.
to get back at her shellinger tells mcmanus the truth about ross is death. to get back at her schillingur tells mcmanus the truth about ross is death. to get back at her schillingert tells mcmanus the truth about ross is death. to get back at her shelling her tells mcmanus the truth about ross is death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to get back at her schillinger tells mcmanus the truth about ross is death', 'to get back at her shellinger tells mcmanus the truth about ross is death', 'to get back at her schillingur tells mcmanus the truth about ross is death', 'to get back at her schillingert tells mcmanus the truth about ross is death', 'to get back at her shelling her tells mcmanus the truth about ross is death']
[ "he then established an anglo australian consults think company wilkish era", "he then established an anglo australian consults think company wilkish era", "he then established an anglo australian consults think company wilkish era", "he then established an anglo australian consults think company wilkesh error", "he then established an anglo australian consults think company wilkesh era" ]
he then established an anglo australian consultancy company wilksch aero
he then established an anglo australian consults think company wilkish era.
he then established an anglo australian consults think company wilkish era. he then established an anglo australian consults think company wilkish era. he then established an anglo australian consults think company wilkesh error. he then established an anglo australian consults think company wilkesh era.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then established an anglo australian consults think company wilkish era', 'he then established an anglo australian consults think company wilkish era', 'he then established an anglo australian consults think company wilkish era', 'he then established an anglo australian consults think company wilkesh error', 'he then established an anglo australian consults think company wilkesh era']
[ "the more pellets left when the players are not correctly higher the scores are warded", "the more pellets left when the players are not correctly are higher than schools awarded", "the more pellets left when the players are not correctly a higher the score is awarded", "the more pellets left when the players are not correctly are higher the scores awarded", "the more pellets left when the players are not correctly the higher the score is awarded" ]
the more pellets left when the players answer correctly the higher the scores awarded
the more pellets left when the players are not correctly higher the scores are warded.
the more pellets left when the players are not correctly are higher than schools awarded. the more pellets left when the players are not correctly a higher the score is awarded. the more pellets left when the players are not correctly are higher the scores awarded. the more pellets left when the players are not correctly the higher the score is awarded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the more pellets left when the players are not correctly higher the scores are warded', 'the more pellets left when the players are not correctly are higher than schools awarded', 'the more pellets left when the players are not correctly a higher the score is awarded', 'the more pellets left when the players are not correctly are higher the scores awarded', 'the more pellets left when the players are not correctly the higher the score is awarded']
[ "they say it could last another five years if cared for", "they say it would last another five years if cared for", "they say it could last another five years if cared for", "they say it took last another five years if cared for", "they say it would last another five years if cared for" ]
they said it would last another five years if cared for
they say it could last another five years if cared for.
they say it would last another five years if cared for. they say it could last another five years if cared for. they say it took last another five years if cared for. they say it would last another five years if cared for.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they say it could last another five years if cared for', 'they say it would last another five years if cared for', 'they say it could last another five years if cared for', 'they say it took last another five years if cared for', 'they say it would last another five years if cared for']
[ "these districts are listed below by region and zone", "these districts are listed below by region and zone", "these districts are listed below by regent and zone", "these districts are listed below by region and zone", "these districts are listed below by region and zone" ]
these districts are listed below by region and zone
these districts are listed below by region and zone.
these districts are listed below by region and zone. these districts are listed below by regent and zone. these districts are listed below by region and zone. these districts are listed below by region and zone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these districts are listed below by region and zone', 'these districts are listed below by region and zone', 'these districts are listed below by regent and zone', 'these districts are listed below by region and zone', 'these districts are listed below by region and zone']
[ "in colloquial language the term yankee is used for u s citizens", "in colloquial language the term yankee is used for us citizens", "in colloquial language the term yankee is used for u s citizens", "in colloquial language the term yankee is used for us citizens", "in colloquial language the term yankee is used for u s citizens" ]
in colloquial language the term yankee is used for u s citizens
in colloquial language the term yankee is used for u s citizens.
in colloquial language the term yankee is used for us citizens. in colloquial language the term yankee is used for u s citizens. in colloquial language the term yankee is used for us citizens. in colloquial language the term yankee is used for u s citizens.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in colloquial language the term yankee is used for u s citizens', 'in colloquial language the term yankee is used for us citizens', 'in colloquial language the term yankee is used for u s citizens', 'in colloquial language the term yankee is used for us citizens', 'in colloquial language the term yankee is used for u s citizens']
[ "it functions again irrationally but powerfully to build tension and to create structure", "it functions again irrationally but powerfully to build tension and to create structure", "it functions again irrationally but powerfully to build tension and to create structure", "it functions again irrationally but powerfully to build tension and to create structure", "it functions again irrationally but powerfully to build tension and to create structure" ]
it functions again irrationally but powerfully to build tension and to create structure
it functions again irrationally but powerfully to build tension and to create structure.
it functions again irrationally but powerfully to build tension and to create structure. it functions again irrationally but powerfully to build tension and to create structure. it functions again irrationally but powerfully to build tension and to create structure. it functions again irrationally but powerfully to build tension and to create structure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it functions again irrationally but powerfully to build tension and to create structure', 'it functions again irrationally but powerfully to build tension and to create structure', 'it functions again irrationally but powerfully to build tension and to create structure', 'it functions again irrationally but powerfully to build tension and to create structure', 'it functions again irrationally but powerfully to build tension and to create structure']
[ "its country seat is san sable", "its country seat is san sabah", "its country seat is san sabal", "its country seat is san saba", "its country seat is san sable" ]
its county seat is san saba
its country seat is san sable.
its country seat is san sabah. its country seat is san sabal. its country seat is san saba. its country seat is san sable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its country seat is san sable', 'its country seat is san sabah', 'its country seat is san sabal', 'its country seat is san saba', 'its country seat is san sable']
[ "the mountain provides exciting and challenging climbing", "the mountain provides exciting and challenging climbing", "the mountain provides exciting and challenging climbing", "the mountains provides exciting and challenging climbing", "the mountains provide exciting and challenging climbing" ]
the mountain provides exciting and challenging climbing
the mountain provides exciting and challenging climbing.
the mountain provides exciting and challenging climbing. the mountain provides exciting and challenging climbing. the mountains provides exciting and challenging climbing. the mountains provide exciting and challenging climbing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mountain provides exciting and challenging climbing', 'the mountain provides exciting and challenging climbing', 'the mountain provides exciting and challenging climbing', 'the mountains provides exciting and challenging climbing', 'the mountains provide exciting and challenging climbing']
[ "gardiner himself was reelected to two further two year terms", "gardiner himself was re elected to two further two year terms", "gardiner himself was reelected to further two year terms", "gardiner himself was reelected two further two year terms", "gardiner himself was reelected to two further two year terms" ]
gardiner himself was re elected to two further two year terms
gardiner himself was reelected to two further two year terms.
gardiner himself was re elected to two further two year terms. gardiner himself was reelected to further two year terms. gardiner himself was reelected two further two year terms. gardiner himself was reelected to two further two year terms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gardiner himself was reelected to two further two year terms', 'gardiner himself was re elected to two further two year terms', 'gardiner himself was reelected to further two year terms', 'gardiner himself was reelected two further two year terms', 'gardiner himself was reelected to two further two year terms']
[ "his graduate advisor at harvard was steven weinberg", "his graduate advisor at harvard was stephen wainberg", "his graduate advisor at harvard was steven wainberg", "his graduate advisor at harvard was stephen weinberg", "his graduate advisor at howard was stephen wainberg" ]
his graduate adviser at harvard was steven weinberg
his graduate advisor at harvard was steven weinberg.
his graduate advisor at harvard was stephen wainberg. his graduate advisor at harvard was steven wainberg. his graduate advisor at harvard was stephen weinberg. his graduate advisor at howard was stephen wainberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his graduate advisor at harvard was steven weinberg', 'his graduate advisor at harvard was stephen wainberg', 'his graduate advisor at harvard was steven wainberg', 'his graduate advisor at harvard was stephen weinberg', 'his graduate advisor at howard was stephen wainberg']
[ "as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals", "as the unelected maccatharite dawson maccathie fortune alliance and milford lawyers liberals", "as the unelected maccathorite dawson maccathie fortune alliance and milford lawyers liberals", "as the unelected mchathorite dawson mchathie fortune alliance of milford lawyers liberals", "as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals" ]
as the only elected mccarthyite dalton mccarthy forged an alliance with wilfrid laurier is liberals
as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals.
as the unelected maccatharite dawson maccathie fortune alliance and milford lawyers liberals. as the unelected maccathorite dawson maccathie fortune alliance and milford lawyers liberals. as the unelected mchathorite dawson mchathie fortune alliance of milford lawyers liberals. as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals', 'as the unelected maccatharite dawson maccathie fortune alliance and milford lawyers liberals', 'as the unelected maccathorite dawson maccathie fortune alliance and milford lawyers liberals', 'as the unelected mchathorite dawson mchathie fortune alliance of milford lawyers liberals', 'as the unelected mchathorite dawson mchathie fortune alliance and milford lawyers liberals']
[ "wentworthville has two shopping precincts", "windworthville has two shopping precincts", "wentworthville has two shopping precincts", "windworthville has two shopping precincts", "windworthville has two shopping precincts" ]
wentworthville has two shopping precincts
wentworthville has two shopping precincts.
windworthville has two shopping precincts. wentworthville has two shopping precincts. windworthville has two shopping precincts. windworthville has two shopping precincts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wentworthville has two shopping precincts', 'windworthville has two shopping precincts', 'wentworthville has two shopping precincts', 'windworthville has two shopping precincts', 'windworthville has two shopping precincts']
[ "with modifications the systems command model remains in place today", "with modifications the systems command model remains in place today", "with modifications the system is command model remains in place today", "with modifications the systems command model remains in place today", "with modifications the systems command model remains in place today" ]
with modifications the systems command model remains in place today
with modifications the systems command model remains in place today.
with modifications the systems command model remains in place today. with modifications the system is command model remains in place today. with modifications the systems command model remains in place today. with modifications the systems command model remains in place today.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with modifications the systems command model remains in place today', 'with modifications the systems command model remains in place today', 'with modifications the system is command model remains in place today', 'with modifications the systems command model remains in place today', 'with modifications the systems command model remains in place today']
[ "about nine hundred plant species are indigenous ten percent of which are endemic", "about nine hundred plant species are indigenous ten percent of which are endemic", "about nine hundred plant species our indigenous ten percent of which are endemic", "about nine hundred plant species are indigenous ten per cent of which are endemic", "about nine hundred plant species are indigenous ten percent of which are endemic" ]
about nine hundred plant species are indigenous ten percent of which are endemic
about nine hundred plant species are indigenous ten percent of which are endemic.
about nine hundred plant species are indigenous ten percent of which are endemic. about nine hundred plant species our indigenous ten percent of which are endemic. about nine hundred plant species are indigenous ten per cent of which are endemic. about nine hundred plant species are indigenous ten percent of which are endemic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['about nine hundred plant species are indigenous ten percent of which are endemic', 'about nine hundred plant species are indigenous ten percent of which are endemic', 'about nine hundred plant species our indigenous ten percent of which are endemic', 'about nine hundred plant species are indigenous ten per cent of which are endemic', 'about nine hundred plant species are indigenous ten percent of which are endemic']
[ "it was directed by steve ross and written by brad roodle", "it was directed by steve ross and written by brad rudolf", "it was directed by steve ross and written by brad rudol", "it was directed by steve ross and written by brad rudel", "it was directed by steve ross and written by brad rudolf" ]
it was directed by steve rash and written by brad riddell
it was directed by steve ross and written by brad roodle.
it was directed by steve ross and written by brad rudolf. it was directed by steve ross and written by brad rudol. it was directed by steve ross and written by brad rudel. it was directed by steve ross and written by brad rudolf.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was directed by steve ross and written by brad roodle', 'it was directed by steve ross and written by brad rudolf', 'it was directed by steve ross and written by brad rudol', 'it was directed by steve ross and written by brad rudel', 'it was directed by steve ross and written by brad rudolf']
[ "in some people a criminal is symptom of another neurological disorder", "in some people a criminal is symptom of another neurological disorder", "in the people a criminal is symptom of another neurological disorder", "in the people a criminal is symptom of another neurological disorder", "in other people a criminal is symptom of another neurological disorder" ]
in some people a tremor is a symptom of another neurological disorder
in some people a criminal is symptom of another neurological disorder.
in some people a criminal is symptom of another neurological disorder. in the people a criminal is symptom of another neurological disorder. in the people a criminal is symptom of another neurological disorder. in other people a criminal is symptom of another neurological disorder.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in some people a criminal is symptom of another neurological disorder', 'in some people a criminal is symptom of another neurological disorder', 'in the people a criminal is symptom of another neurological disorder', 'in the people a criminal is symptom of another neurological disorder', 'in other people a criminal is symptom of another neurological disorder']
[ "bankside is a riverside of the former liberties of the clink and paris garden", "bankside is a riverside of the former liberties of the klingk and paris garden", "bankside is the riverside of the former liberties of the clink and paris garden", "bankside is the riverside of the former liberties of the klingk and paris garden", "bankside is a riverside of the former liberties of the klink and paris garden" ]
bankside is the riverside of the former liberties of the clink and paris garden
bankside is a riverside of the former liberties of the clink and paris garden.
bankside is a riverside of the former liberties of the klingk and paris garden. bankside is the riverside of the former liberties of the clink and paris garden. bankside is the riverside of the former liberties of the klingk and paris garden. bankside is a riverside of the former liberties of the klink and paris garden.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bankside is a riverside of the former liberties of the clink and paris garden', 'bankside is a riverside of the former liberties of the klingk and paris garden', 'bankside is the riverside of the former liberties of the clink and paris garden', 'bankside is the riverside of the former liberties of the klingk and paris garden', 'bankside is a riverside of the former liberties of the klink and paris garden']
[ "brown has part of phd research at cambridge university in england", "brown as part of phd research at cambridge university in england", "brown as part of phd research at cambridge university in england", "brown has part of ph d research at cambridge university in england", "brown has part of ph d research at cambridge university in england" ]
brown as part of phd research at cambridge university in england
brown has part of phd research at cambridge university in england.
brown as part of phd research at cambridge university in england. brown as part of phd research at cambridge university in england. brown has part of ph d research at cambridge university in england. brown has part of ph d research at cambridge university in england.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['brown has part of phd research at cambridge university in england', 'brown as part of phd research at cambridge university in england', 'brown as part of phd research at cambridge university in england', 'brown has part of ph d research at cambridge university in england', 'brown has part of ph d research at cambridge university in england']
[ "torpet johansson was present in the audience", "torpid johansson was present in the audience", "torpen johansson was present in the audience", "thorpe johansson was present in the audience", "torpent johansson was present in the audience" ]
torben johansen was present in the audience
torpet johansson was present in the audience.
torpid johansson was present in the audience. torpen johansson was present in the audience. thorpe johansson was present in the audience. torpent johansson was present in the audience.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['torpet johansson was present in the audience', 'torpid johansson was present in the audience', 'torpen johansson was present in the audience', 'thorpe johansson was present in the audience', 'torpent johansson was present in the audience']
[ "they decided to divorce due to irreconcilable differences in their marriage", "they decided to divorce due to irreconcilable differences in the marriage", "they decided to divorce due to irreconcilable differences in their marriage", "that is decided to divorce due to irreconcilable differences in their marriage", "that is decided to divorce due to irreconcilable differences in the marriage" ]
they decided to divorce due to irreconcilable differences in their marriage
they decided to divorce due to irreconcilable differences in their marriage.
they decided to divorce due to irreconcilable differences in the marriage. they decided to divorce due to irreconcilable differences in their marriage. that is decided to divorce due to irreconcilable differences in their marriage. that is decided to divorce due to irreconcilable differences in the marriage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they decided to divorce due to irreconcilable differences in their marriage', 'they decided to divorce due to irreconcilable differences in the marriage', 'they decided to divorce due to irreconcilable differences in their marriage', 'that is decided to divorce due to irreconcilable differences in their marriage', 'that is decided to divorce due to irreconcilable differences in the marriage']
[ "prior to world war i shock production began", "prior to world war i shock production began", "prior to world war i schrock production began", "prior to world war i shock production began", "prior to world war i schrock production began" ]
prior to world war one truck production began
prior to world war i shock production began.
prior to world war i shock production began. prior to world war i schrock production began. prior to world war i shock production began. prior to world war i schrock production began.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['prior to world war i shock production began', 'prior to world war i shock production began', 'prior to world war i schrock production began', 'prior to world war i shock production began', 'prior to world war i schrock production began']
[ "the intersection of fresh pond and metropolitan is especially notorious for being a bottleneck", "the intersection of fresh porned and metropolitan is especially notorious for being a bottleneck", "the intersection of fresh pombed and metropolitan is especially notorious for being a bottleneck", "the intersection of fresh pointer and metropolitan is especially notorious for being a bottleneck", "the intersection of fresh point and metropolitan is especially notorious for being a bottleneck" ]
the intersection of fresh pond and metropolitan is especially notorious for being a bottleneck
the intersection of fresh pond and metropolitan is especially notorious for being a bottleneck.
the intersection of fresh porned and metropolitan is especially notorious for being a bottleneck. the intersection of fresh pombed and metropolitan is especially notorious for being a bottleneck. the intersection of fresh pointer and metropolitan is especially notorious for being a bottleneck. the intersection of fresh point and metropolitan is especially notorious for being a bottleneck.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the intersection of fresh pond and metropolitan is especially notorious for being a bottleneck', 'the intersection of fresh porned and metropolitan is especially notorious for being a bottleneck', 'the intersection of fresh pombed and metropolitan is especially notorious for being a bottleneck', 'the intersection of fresh pointer and metropolitan is especially notorious for being a bottleneck', 'the intersection of fresh point and metropolitan is especially notorious for being a bottleneck']
[ "it is home to a major knockbox garden or here in the village", "it is home to image not work sadden or hear even reach", "it is home to image not work sadden or hear remember each", "it is home to image not work sadden or hear even reach", "it is home to a major knock box garden or here in the village" ]
it is home to a major norfolk southern ohio river bridge
it is home to a major knockbox garden or here in the village.
it is home to image not work sadden or hear even reach. it is home to image not work sadden or hear remember each. it is home to image not work sadden or hear even reach. it is home to a major knock box garden or here in the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is home to a major knockbox garden or here in the village', 'it is home to image not work sadden or hear even reach', 'it is home to image not work sadden or hear remember each', 'it is home to image not work sadden or hear even reach', 'it is home to a major knock box garden or here in the village']
[ "peter fiddler added a vocal and guitar counterpoint", "peter frida added a vocal and guitar counterpoint", "peter fritter added a vocal and guitar counterpoint", "beta frida added a vocal and guitar counterpoint", "beautiful that added a vocal and guitar counterpoint" ]
peter fredette added a vocal and guitar counterpoint
peter fiddler added a vocal and guitar counterpoint.
peter frida added a vocal and guitar counterpoint. peter fritter added a vocal and guitar counterpoint. beta frida added a vocal and guitar counterpoint. beautiful that added a vocal and guitar counterpoint.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['peter fiddler added a vocal and guitar counterpoint', 'peter frida added a vocal and guitar counterpoint', 'peter fritter added a vocal and guitar counterpoint', 'beta frida added a vocal and guitar counterpoint', 'beautiful that added a vocal and guitar counterpoint']
[ "suva fiji institute of pacific studies of the university of the south pacific", "river fiji institute of pacific studies of the university of the south pacific", "suva fiji institute of pacific studies of the university of the south pacific", "through our fiji institute of pacific studies of the university of the south pacific", "tuva fiji institute of pacific studies of the university of the south pacific" ]
suva fiji institute of pacific studies of the university of the south pacific
suva fiji institute of pacific studies of the university of the south pacific.
river fiji institute of pacific studies of the university of the south pacific. suva fiji institute of pacific studies of the university of the south pacific. through our fiji institute of pacific studies of the university of the south pacific. tuva fiji institute of pacific studies of the university of the south pacific.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['suva fiji institute of pacific studies of the university of the south pacific', 'river fiji institute of pacific studies of the university of the south pacific', 'suva fiji institute of pacific studies of the university of the south pacific', 'through our fiji institute of pacific studies of the university of the south pacific', 'tuva fiji institute of pacific studies of the university of the south pacific']
[ "in the last years of his life rashid all led his own imponuous quintet", "in the last years of his life rashida led his own imponuous quintet", "and in the last years of his life rashid all led his own imponuous quintet", "and in the last years of his life rashida led his own imponuous quintet", "in the last years of his life rashid alla led his own imponuous quintet" ]
in the last years of his life rashied ali led his own eponymous quintet
in the last years of his life rashid all led his own imponuous quintet.
in the last years of his life rashida led his own imponuous quintet. and in the last years of his life rashid all led his own imponuous quintet. and in the last years of his life rashida led his own imponuous quintet. in the last years of his life rashid alla led his own imponuous quintet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the last years of his life rashid all led his own imponuous quintet', 'in the last years of his life rashida led his own imponuous quintet', 'and in the last years of his life rashid all led his own imponuous quintet', 'and in the last years of his life rashida led his own imponuous quintet', 'in the last years of his life rashid alla led his own imponuous quintet']
[ "the role of mister darcy elevated colin firth to stardom", "the role of mister darcy elevated colin firth to start him", "the role of mister darcy elevated colin firth to stardom", "the role of mister darcy elevated colin firth to stardom", "the role of mister darcy elevated colin firth to stardom" ]
the role of mister darcy elevated colin firth to stardom
the role of mister darcy elevated colin firth to stardom.
the role of mister darcy elevated colin firth to start him. the role of mister darcy elevated colin firth to stardom. the role of mister darcy elevated colin firth to stardom. the role of mister darcy elevated colin firth to stardom.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the role of mister darcy elevated colin firth to stardom', 'the role of mister darcy elevated colin firth to start him', 'the role of mister darcy elevated colin firth to stardom', 'the role of mister darcy elevated colin firth to stardom', 'the role of mister darcy elevated colin firth to stardom']
[ "both liberal and conservative waypoints have been perceived in his writing", "both liberal and conservative viewpoints have been perceived in his writing", "both liberal and conservative weak points have been perceived in his writing", "both liberl and conservative viewpoints have been perceived in his writing", "both liberl and conservative waypoints have been perceived in his writing" ]
both liberal and conservative viewpoints have been perceived in his writing
both liberal and conservative waypoints have been perceived in his writing.
both liberal and conservative viewpoints have been perceived in his writing. both liberal and conservative weak points have been perceived in his writing. both liberl and conservative viewpoints have been perceived in his writing. both liberl and conservative waypoints have been perceived in his writing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both liberal and conservative waypoints have been perceived in his writing', 'both liberal and conservative viewpoints have been perceived in his writing', 'both liberal and conservative weak points have been perceived in his writing', 'both liberl and conservative viewpoints have been perceived in his writing', 'both liberl and conservative waypoints have been perceived in his writing']
[ "it is surrounded by the commumes of scene denies and buggy and pretend", "it is surrounded by the commumes of scene denies and bogey and pretend", "it is surrounded by the commumes of scene denies and bogey and bitand", "it is surrounded by the commumes of scene dines and buggie and bitant", "it is surrounded by the commumes of scene dinesh and bhagai and bitant" ]
it is surrounded by the communes of saint denis en bugey and bettant
it is surrounded by the commumes of scene denies and buggy and pretend.
it is surrounded by the commumes of scene denies and bogey and pretend. it is surrounded by the commumes of scene denies and bogey and bitand. it is surrounded by the commumes of scene dines and buggie and bitant. it is surrounded by the commumes of scene dinesh and bhagai and bitant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is surrounded by the commumes of scene denies and buggy and pretend', 'it is surrounded by the commumes of scene denies and bogey and pretend', 'it is surrounded by the commumes of scene denies and bogey and bitand', 'it is surrounded by the commumes of scene dines and buggie and bitant', 'it is surrounded by the commumes of scene dinesh and bhagai and bitant']
[ "as a result the wire delays needed to be considered to achieve timing closure", "as a result the wire delays needed to be considered to achieve timing closure", "as a result the wire delays need to be considered to achieve timing closure", "as a result the wire delays needed to be considered to achieve timing closure", "as a result the wire delays needed to be considered to achieve timing closure" ]
as a result the wire delays needed to be considered to achieve timing closure
as a result the wire delays needed to be considered to achieve timing closure.
as a result the wire delays needed to be considered to achieve timing closure. as a result the wire delays need to be considered to achieve timing closure. as a result the wire delays needed to be considered to achieve timing closure. as a result the wire delays needed to be considered to achieve timing closure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a result the wire delays needed to be considered to achieve timing closure', 'as a result the wire delays needed to be considered to achieve timing closure', 'as a result the wire delays need to be considered to achieve timing closure', 'as a result the wire delays needed to be considered to achieve timing closure', 'as a result the wire delays needed to be considered to achieve timing closure']
[ "grisdale was in the old e block and pandu in the old j block", "grisdale was in the old e block and pando in the old j block", "grisdale was in the old e block and pendo in the old j block", "grisdale was in the old e block and pandru in the old j block", "grisdale was in the old e block and pandu in the old j box" ]
grizedale was in the old e block and pendle in the old j block
grisdale was in the old e block and pandu in the old j block.
grisdale was in the old e block and pando in the old j block. grisdale was in the old e block and pendo in the old j block. grisdale was in the old e block and pandru in the old j block. grisdale was in the old e block and pandu in the old j box.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['grisdale was in the old e block and pandu in the old j block', 'grisdale was in the old e block and pando in the old j block', 'grisdale was in the old e block and pendo in the old j block', 'grisdale was in the old e block and pandru in the old j block', 'grisdale was in the old e block and pandu in the old j box']
[ "the states of the particles are represented as two components spinors", "the states of the particles are represented as two component spinors", "the states of the particles are represented as two component spiners", "the states of the particles are represented as two components spiners", "the states of the particles are represented as two components spinos" ]
the states of the particles are represented as two component spinors
the states of the particles are represented as two components spinors.
the states of the particles are represented as two component spinors. the states of the particles are represented as two component spiners. the states of the particles are represented as two components spiners. the states of the particles are represented as two components spinos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the states of the particles are represented as two components spinors', 'the states of the particles are represented as two component spinors', 'the states of the particles are represented as two component spiners', 'the states of the particles are represented as two components spiners', 'the states of the particles are represented as two components spinos']
[ "it is commonly used on linux", "it is commonly used on linux", "it is commonly used on linux", "it is commonly used on linux", "it is commonly used on linux" ]
it is commonly used on linux
it is commonly used on linux.
it is commonly used on linux. it is commonly used on linux. it is commonly used on linux. it is commonly used on linux.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is commonly used on linux', 'it is commonly used on linux', 'it is commonly used on linux', 'it is commonly used on linux', 'it is commonly used on linux']
[ "a full core can be invaluable for later reservoir evaluation", "a full core can be invaluable for later reservoir evaluation", "a full core can be invaluable for later reservoir evaluation", "a full core can be invaluable for later reservoir evaluation", "a full core can be invaluable for later reservoir evaluation" ]
a full core can be invaluable for later reservoir evaluation
a full core can be invaluable for later reservoir evaluation.
a full core can be invaluable for later reservoir evaluation. a full core can be invaluable for later reservoir evaluation. a full core can be invaluable for later reservoir evaluation. a full core can be invaluable for later reservoir evaluation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a full core can be invaluable for later reservoir evaluation', 'a full core can be invaluable for later reservoir evaluation', 'a full core can be invaluable for later reservoir evaluation', 'a full core can be invaluable for later reservoir evaluation', 'a full core can be invaluable for later reservoir evaluation']
[ "millions of pounds of public money has been wasted", "millions of pounds of public money has been wasted", "millions of pounds of public money has been wasted", "millions of pounds of public money has been wasted", "millions of pounds of public money has been wasted" ]
millions of pounds of public money has been wasted
millions of pounds of public money has been wasted.
millions of pounds of public money has been wasted. millions of pounds of public money has been wasted. millions of pounds of public money has been wasted. millions of pounds of public money has been wasted.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['millions of pounds of public money has been wasted', 'millions of pounds of public money has been wasted', 'millions of pounds of public money has been wasted', 'millions of pounds of public money has been wasted', 'millions of pounds of public money has been wasted']
[ "anglory park is another new development in this area between glen alpine and ambervale", "anglory park is another new development in this area between glen alpine and amber vale", "anglory park is another new development in this area between glen alpine and amber rail", "anglery park is another new development in this area between glen alpine and ambervale", "anglory park is another new development in this area between glen alpine and amberbeil" ]
englorie park is another new development in this area between glen alpine and ambarvale
anglory park is another new development in this area between glen alpine and ambervale.
anglory park is another new development in this area between glen alpine and amber vale. anglory park is another new development in this area between glen alpine and amber rail. anglery park is another new development in this area between glen alpine and ambervale. anglory park is another new development in this area between glen alpine and amberbeil.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['anglory park is another new development in this area between glen alpine and ambervale', 'anglory park is another new development in this area between glen alpine and amber vale', 'anglory park is another new development in this area between glen alpine and amber rail', 'anglery park is another new development in this area between glen alpine and ambervale', 'anglory park is another new development in this area between glen alpine and amberbeil']
[ "a rotor on the other hand requires a different solution", "a router on the other hand requires a different solution", "a rotor on the other hand requires a different solution", "a router on the other hand requires a different solution", "a router on the other hand requires a different solution" ]
a rotor on the other hand requires a different solution
a rotor on the other hand requires a different solution.
a router on the other hand requires a different solution. a rotor on the other hand requires a different solution. a router on the other hand requires a different solution. a router on the other hand requires a different solution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a rotor on the other hand requires a different solution', 'a router on the other hand requires a different solution', 'a rotor on the other hand requires a different solution', 'a router on the other hand requires a different solution', 'a router on the other hand requires a different solution']
[ "charles campbell is the male of the city of cory", "charles campbell is the male of the city of corrie", "chal is campbell is the male of the city of cory", "chal is campbell is the male of the city of cory", "chal is campbell is the male of the city of corey" ]
charles campbell is the mayor of the city of corry
charles campbell is the male of the city of cory.
charles campbell is the male of the city of corrie. chal is campbell is the male of the city of cory. chal is campbell is the male of the city of cory. chal is campbell is the male of the city of corey.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['charles campbell is the male of the city of cory', 'charles campbell is the male of the city of corrie', 'chal is campbell is the male of the city of cory', 'chal is campbell is the male of the city of cory', 'chal is campbell is the male of the city of corey']
[ "the difference is paid by the court party", "the difference is paid by the court party", "the difference is paid by the court party", "the difference is paired by the court party", "the difference is pared by the court party" ]
the difference is paid by the called party
the difference is paid by the court party.
the difference is paid by the court party. the difference is paid by the court party. the difference is paired by the court party. the difference is pared by the court party.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the difference is paid by the court party', 'the difference is paid by the court party', 'the difference is paid by the court party', 'the difference is paired by the court party', 'the difference is pared by the court party']
[ "currently only dancetunes radio is active and online streaming service hosted from belgium", "currently only dancetunes radio is active and online streaming service hosted from belgium", "currently only dance tunes radio is active and online streaming service hosted from belgium", "currently only dancetunes radio is active and online streaming service hosted from belgium", "currently only dance tunes radio is active and online streaming service hosted from belgium" ]
currently only dance tunes radio is active an online streaming service hosted from belgium
currently only dancetunes radio is active and online streaming service hosted from belgium.
currently only dancetunes radio is active and online streaming service hosted from belgium. currently only dance tunes radio is active and online streaming service hosted from belgium. currently only dancetunes radio is active and online streaming service hosted from belgium. currently only dance tunes radio is active and online streaming service hosted from belgium.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['currently only dancetunes radio is active and online streaming service hosted from belgium', 'currently only dancetunes radio is active and online streaming service hosted from belgium', 'currently only dance tunes radio is active and online streaming service hosted from belgium', 'currently only dancetunes radio is active and online streaming service hosted from belgium', 'currently only dance tunes radio is active and online streaming service hosted from belgium']
[ "some arcola decorative efforts with neighboring state associations of independent schools", "some arcola supportive efforts with neighboring state associations of independent schools", "some arcola imperative efforts with neighboring state associations of independent schools", "some arcola supportive efforts with neighboring state associations of independent schools", "some arcola imperative efforts with neighboring state associations of independent schools" ]
some are collaborative efforts with neighboring state associations of independent schools
some arcola decorative efforts with neighboring state associations of independent schools.
some arcola supportive efforts with neighboring state associations of independent schools. some arcola imperative efforts with neighboring state associations of independent schools. some arcola supportive efforts with neighboring state associations of independent schools. some arcola imperative efforts with neighboring state associations of independent schools.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some arcola decorative efforts with neighboring state associations of independent schools', 'some arcola supportive efforts with neighboring state associations of independent schools', 'some arcola imperative efforts with neighboring state associations of independent schools', 'some arcola supportive efforts with neighboring state associations of independent schools', 'some arcola imperative efforts with neighboring state associations of independent schools']
[ "soundridge devices directly browse the radio roku guide", "soundridge devices directly browse the radio roku guide", "soundrage devices directly browse the radio roku guide", "sandridge devices directly browse the radio roku guide", "savage devices directly browse the radio roku guide" ]
soundbridge devices directly browse the radio roku guide
soundridge devices directly browse the radio roku guide.
soundridge devices directly browse the radio roku guide. soundrage devices directly browse the radio roku guide. sandridge devices directly browse the radio roku guide. savage devices directly browse the radio roku guide.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['soundridge devices directly browse the radio roku guide', 'soundridge devices directly browse the radio roku guide', 'soundrage devices directly browse the radio roku guide', 'sandridge devices directly browse the radio roku guide', 'savage devices directly browse the radio roku guide']
[ "his doll does not cleanly fit into any specific category of art", "his style does not cleanly fit into any specific category of art", "his doll does not cleanly fit into any specific category of that", "his style does not cleanly fit into any specific category of that", "his dog does not cleanly fit into any specific category of that" ]
his style does not cleanly fit into any specific category of art
his doll does not cleanly fit into any specific category of art.
his style does not cleanly fit into any specific category of art. his doll does not cleanly fit into any specific category of that. his style does not cleanly fit into any specific category of that. his dog does not cleanly fit into any specific category of that.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his doll does not cleanly fit into any specific category of art', 'his style does not cleanly fit into any specific category of art', 'his doll does not cleanly fit into any specific category of that', 'his style does not cleanly fit into any specific category of that', 'his dog does not cleanly fit into any specific category of that']
[ "it is located in belloff tacuba", "it is located in belaf tacuba", "it is located in belof tacuba", "it is located in bellof tacuba", "it is located in bellow tacuba" ]
it is located in villa of tacuba
it is located in belloff tacuba.
it is located in belaf tacuba. it is located in belof tacuba. it is located in bellof tacuba. it is located in bellow tacuba.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is located in belloff tacuba', 'it is located in belaf tacuba', 'it is located in belof tacuba', 'it is located in bellof tacuba', 'it is located in bellow tacuba']
[ "this was explained as a breakdown in commutation", "this was explained as a brief non commutation", "this was explained as a brief time and conversation", "this was explained as a predetermined conversation", "this was explained as a breakdown in conversation" ]
this was explained as a breakdown in communication
this was explained as a breakdown in commutation.
this was explained as a brief non commutation. this was explained as a brief time and conversation. this was explained as a predetermined conversation. this was explained as a breakdown in conversation.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was explained as a breakdown in commutation', 'this was explained as a brief non commutation', 'this was explained as a brief time and conversation', 'this was explained as a predetermined conversation', 'this was explained as a breakdown in conversation']
[ "justin green lives in cincinnati and is married to fellow cartoonist carol tyrell", "justin green lives in cincinnati and is married to fellow cartoonist carol tyrone", "justin green lives in cincinnati and is married to fellow cartoonist carol taro", "justin green lives in cincinnati and is married to fellow cartoonist carol tyler", "justin green lives in cincinnati and is married to fellow cartoonist carol theroux" ]
justin green lives in cincinnati and is married to fellow cartoonist carol tyler
justin green lives in cincinnati and is married to fellow cartoonist carol tyrell.
justin green lives in cincinnati and is married to fellow cartoonist carol tyrone. justin green lives in cincinnati and is married to fellow cartoonist carol taro. justin green lives in cincinnati and is married to fellow cartoonist carol tyler. justin green lives in cincinnati and is married to fellow cartoonist carol theroux.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['justin green lives in cincinnati and is married to fellow cartoonist carol tyrell', 'justin green lives in cincinnati and is married to fellow cartoonist carol tyrone', 'justin green lives in cincinnati and is married to fellow cartoonist carol taro', 'justin green lives in cincinnati and is married to fellow cartoonist carol tyler', 'justin green lives in cincinnati and is married to fellow cartoonist carol theroux']
[ "the sikambri from east of the rhine were one of the main raiders", "the sikambri from east of the rhine were one of the main raiders", "the sikambri from east of the rhine were one of the main raiders", "the sikambri from east of the rhine were one of the main raiders", "the sikambri from east of the rhine were one of the main raiders" ]
the sicambri from east of the rhine were one of the main raiders
the sikambri from east of the rhine were one of the main raiders.
the sikambri from east of the rhine were one of the main raiders. the sikambri from east of the rhine were one of the main raiders. the sikambri from east of the rhine were one of the main raiders. the sikambri from east of the rhine were one of the main raiders.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sikambri from east of the rhine were one of the main raiders', 'the sikambri from east of the rhine were one of the main raiders', 'the sikambri from east of the rhine were one of the main raiders', 'the sikambri from east of the rhine were one of the main raiders', 'the sikambri from east of the rhine were one of the main raiders']
[ "now them as present of great hands", "now them as person to greet him", "now them as present a great hymn", "now them as present of great hands", "now them as present of great hymn" ]
none of them is present to greet him
now them as present of great hands.
now them as person to greet him. now them as present a great hymn. now them as present of great hands. now them as present of great hymn.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['now them as present of great hands', 'now them as person to greet him', 'now them as present a great hymn', 'now them as present of great hands', 'now them as present of great hymn']