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[ "the royal hospital is a striking location for displaying modern art", "the royal hospital is a striking location for displaying modern art", "the royal hospital is a striking location for displaying modern art", "the royal hospital is a striking location for displaying modern art", "the royal hospital is a striking location for displaying modern art" ]
the royal hospital is a striking location for displaying modern art
the royal hospital is a striking location for displaying modern art.
the royal hospital is a striking location for displaying modern art. the royal hospital is a striking location for displaying modern art. the royal hospital is a striking location for displaying modern art. the royal hospital is a striking location for displaying modern art.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the royal hospital is a striking location for displaying modern art', 'the royal hospital is a striking location for displaying modern art', 'the royal hospital is a striking location for displaying modern art', 'the royal hospital is a striking location for displaying modern art', 'the royal hospital is a striking location for displaying modern art']
[ "she has been married twice and changed her name both times", "she has a marry twice and changed her name both times", "she has a married wife and changed her name both times", "she has been married twice and changed her name both times", "she has a marry twice and changed her name both times" ]
she has been married twice and changed her name both times
she has been married twice and changed her name both times.
she has a marry twice and changed her name both times. she has a married wife and changed her name both times. she has been married twice and changed her name both times. she has a marry twice and changed her name both times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she has been married twice and changed her name both times', 'she has a marry twice and changed her name both times', 'she has a married wife and changed her name both times', 'she has been married twice and changed her name both times', 'she has a marry twice and changed her name both times']
[ "in most of dorsey is books storms is in his mid fortys in age", "in most of dorsey is books storms is in his mid forties in age", "in most of dorsey is books storms is in his mid fortys in age", "in most of dorsey is books storms is in his mid fortys in age", "in most of dorsey is books storms is in his mid forties in age" ]
in most of dorsey is books storms is in his mid forties in age
in most of dorsey is books storms is in his mid fortys in age.
in most of dorsey is books storms is in his mid forties in age. in most of dorsey is books storms is in his mid fortys in age. in most of dorsey is books storms is in his mid fortys in age. in most of dorsey is books storms is in his mid forties in age.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in most of dorsey is books storms is in his mid fortys in age', 'in most of dorsey is books storms is in his mid forties in age', 'in most of dorsey is books storms is in his mid fortys in age', 'in most of dorsey is books storms is in his mid fortys in age', 'in most of dorsey is books storms is in his mid forties in age']
[ "hello reply to faint voice from within the bed clothes", "hello reply to faint voice from within the bed close", "hello reply to faint voice from within the bed clothes", "hello reply to faint voice from within the bed close", "hello reply to faint voice from within the bedclothes" ]
hallo replied a faint voice from within the bedclothes
hello reply to faint voice from within the bed clothes.
hello reply to faint voice from within the bed close. hello reply to faint voice from within the bed clothes. hello reply to faint voice from within the bed close. hello reply to faint voice from within the bedclothes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hello reply to faint voice from within the bed clothes', 'hello reply to faint voice from within the bed close', 'hello reply to faint voice from within the bed clothes', 'hello reply to faint voice from within the bed close', 'hello reply to faint voice from within the bedclothes']
[ "very schemes are implemented to improve the town", "very schemes are implemented to improve the town", "very schemes are implemented to improve the town", "very schemes are implemented to improve the town", "very schemes are implemented to improve the town" ]
various schemes were implemented to improve the town
very schemes are implemented to improve the town.
very schemes are implemented to improve the town. very schemes are implemented to improve the town. very schemes are implemented to improve the town. very schemes are implemented to improve the town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['very schemes are implemented to improve the town', 'very schemes are implemented to improve the town', 'very schemes are implemented to improve the town', 'very schemes are implemented to improve the town', 'very schemes are implemented to improve the town']
[ "a group of people standing around a pepst blue ribbon stand", "a group of people standing around a pet is blue ribbon stand", "a group of people standing among a pepst blue ribbon stand", "a group of people standing around a pep saint blue ribbon stand", "a group of people standing around a papst blue ribbon stand" ]
a group of people standing around a pabst blue ribbon stand
a group of people standing around a pepst blue ribbon stand.
a group of people standing around a pet is blue ribbon stand. a group of people standing among a pepst blue ribbon stand. a group of people standing around a pep saint blue ribbon stand. a group of people standing around a papst blue ribbon stand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a group of people standing around a pepst blue ribbon stand', 'a group of people standing around a pet is blue ribbon stand', 'a group of people standing among a pepst blue ribbon stand', 'a group of people standing around a pep saint blue ribbon stand', 'a group of people standing around a papst blue ribbon stand']
[ "upon returning snake eyes finds that scarlet has been captured while investigating cesspool", "upon returning snake eyes finds that scarlet has been captured while investigating cesspool", "upon returning snake eyes finds that scarlet has been captured while investigating cesspool", "upon returning snake eyes finds that scarlet has been captured while investigating cesspool", "upon returning snake eyes finds that scarlet has been captured while investigating cesspool" ]
upon returning snake eyes finds that scarlett has been captured while investigating cesspool
upon returning snake eyes finds that scarlet has been captured while investigating cesspool.
upon returning snake eyes finds that scarlet has been captured while investigating cesspool. upon returning snake eyes finds that scarlet has been captured while investigating cesspool. upon returning snake eyes finds that scarlet has been captured while investigating cesspool. upon returning snake eyes finds that scarlet has been captured while investigating cesspool.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['upon returning snake eyes finds that scarlet has been captured while investigating cesspool', 'upon returning snake eyes finds that scarlet has been captured while investigating cesspool', 'upon returning snake eyes finds that scarlet has been captured while investigating cesspool', 'upon returning snake eyes finds that scarlet has been captured while investigating cesspool', 'upon returning snake eyes finds that scarlet has been captured while investigating cesspool']
[ "and man taking the child on a ride at a fair", "a man taking the child on a ride at a fair", "and man taking the child on a ride at a fair", "and man taking the child on a ride at the fair", "a man taking the child on a ride at a fair" ]
a man taking a child on a ride at a fair
and man taking the child on a ride at a fair.
a man taking the child on a ride at a fair. and man taking the child on a ride at a fair. and man taking the child on a ride at the fair. a man taking the child on a ride at a fair.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and man taking the child on a ride at a fair', 'a man taking the child on a ride at a fair', 'and man taking the child on a ride at a fair', 'and man taking the child on a ride at the fair', 'a man taking the child on a ride at a fair']
[ "these beautifully shot black and white films share similar surrealistic and dreamy visual effects", "these beautifully shot black and white films share similar surrealistic and dreamy visual effects", "these beautifully shot black and white films share similar surrealistic and dreamy visual effects", "these beautifully shot black and white films share similar surrealistic and dreamy visual effects", "these beautifully shot black white films share similar surrealistic and dreamy visual effects" ]
these beautifully shot black and white films share similar surrealistic and dreamy visual effects
these beautifully shot black and white films share similar surrealistic and dreamy visual effects.
these beautifully shot black and white films share similar surrealistic and dreamy visual effects. these beautifully shot black and white films share similar surrealistic and dreamy visual effects. these beautifully shot black and white films share similar surrealistic and dreamy visual effects. these beautifully shot black white films share similar surrealistic and dreamy visual effects.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these beautifully shot black and white films share similar surrealistic and dreamy visual effects', 'these beautifully shot black and white films share similar surrealistic and dreamy visual effects', 'these beautifully shot black and white films share similar surrealistic and dreamy visual effects', 'these beautifully shot black and white films share similar surrealistic and dreamy visual effects', 'these beautifully shot black white films share similar surrealistic and dreamy visual effects']
[ "a lady is by a table that has a bunch of graceories on her", "a lady is by a table that has a bunch of grace stories on her", "a lady is by a table that has a bunch of groceries on her", "a lady is by a table that has a bunch of grace reads on her", "a lady is by a table that has a bunch of grace trees on her" ]
a lady is by a table that has a bunch of groceries on it
a lady is by a table that has a bunch of graceories on her.
a lady is by a table that has a bunch of grace stories on her. a lady is by a table that has a bunch of groceries on her. a lady is by a table that has a bunch of grace reads on her. a lady is by a table that has a bunch of grace trees on her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a lady is by a table that has a bunch of graceories on her', 'a lady is by a table that has a bunch of grace stories on her', 'a lady is by a table that has a bunch of groceries on her', 'a lady is by a table that has a bunch of grace reads on her', 'a lady is by a table that has a bunch of grace trees on her']
[ "dereos however soon grew tired of his life", "de reos however soon grew tired of his life", "dereos however son grew tired of his life", "dereos however soon grew tired of his life", "darius however soon grew tired of his life" ]
dareios however soon grew tired of his life
dereos however soon grew tired of his life.
de reos however soon grew tired of his life. dereos however son grew tired of his life. dereos however soon grew tired of his life. darius however soon grew tired of his life.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dereos however soon grew tired of his life', 'de reos however soon grew tired of his life', 'dereos however son grew tired of his life', 'dereos however soon grew tired of his life', 'darius however soon grew tired of his life']
[ "with the law forward citizens from reading books published in north korea", "with the law forward citizens from reading books published in north korea", "with the law forbid selection from reading books published in north korea", "with the law forward citizens from rating books published in north korea", "with the law forward solutions from reading books published in north korea" ]
the law forbids citizens from reading books published in north korea
with the law forward citizens from reading books published in north korea.
with the law forward citizens from reading books published in north korea. with the law forbid selection from reading books published in north korea. with the law forward citizens from rating books published in north korea. with the law forward solutions from reading books published in north korea.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with the law forward citizens from reading books published in north korea', 'with the law forward citizens from reading books published in north korea', 'with the law forbid selection from reading books published in north korea', 'with the law forward citizens from rating books published in north korea', 'with the law forward solutions from reading books published in north korea']
[ "and that ultimately is where people is friends all short", "and that ultimately is where peeping is friends all short", "and that ultimately is where people is friends are short", "and that ultimately is where peeping friends all short", "and that ultimately is where peepin is friends all short" ]
and that ultimately is where peter is friends falls short
and that ultimately is where people is friends all short.
and that ultimately is where peeping is friends all short. and that ultimately is where people is friends are short. and that ultimately is where peeping friends all short. and that ultimately is where peepin is friends all short.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that ultimately is where people is friends all short', 'and that ultimately is where peeping is friends all short', 'and that ultimately is where people is friends are short', 'and that ultimately is where peeping friends all short', 'and that ultimately is where peepin is friends all short']
[ "dot will be the student liaison this week", "dot will be the student liaison this week", "dot will be the student liaison this week", "dot will be the student liaison this week", "dott will be the student liaison this week" ]
dot will be the student liaison this week
dot will be the student liaison this week.
dot will be the student liaison this week. dot will be the student liaison this week. dot will be the student liaison this week. dott will be the student liaison this week.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dot will be the student liaison this week', 'dot will be the student liaison this week', 'dot will be the student liaison this week', 'dot will be the student liaison this week', 'dott will be the student liaison this week']
[ "it is typically help to include the counties of darvi shair and nottingham shair", "it is typically help to include the counties of derby shair and nottingham shair", "it is typically helped to include the counties of darvi shair and nottingham shair", "it is typically helped to include the counties of derby shair and nottingham shair", "it is typically held to include the counties of darvi shair and nottingham shair" ]
it is typically held to include the counties of derbyshire and nottinghamshire
it is typically help to include the counties of darvi shair and nottingham shair.
it is typically help to include the counties of derby shair and nottingham shair. it is typically helped to include the counties of darvi shair and nottingham shair. it is typically helped to include the counties of derby shair and nottingham shair. it is typically held to include the counties of darvi shair and nottingham shair.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is typically help to include the counties of darvi shair and nottingham shair', 'it is typically help to include the counties of derby shair and nottingham shair', 'it is typically helped to include the counties of darvi shair and nottingham shair', 'it is typically helped to include the counties of derby shair and nottingham shair', 'it is typically held to include the counties of darvi shair and nottingham shair']
[ "yao is so poorly attested that gildier believes it may never be classified", "yao is so poorly attested that guldia believes it may never be classified", "yao is so poorly attested that gildier believes it may never be classified", "yow is so poorly attested that gildier believes it may never be classified", "yow is so poorly attested that guldia believes it may never be classified" ]
yao is so poorly attested that gildea believes it may never be classified
yao is so poorly attested that gildier believes it may never be classified.
yao is so poorly attested that guldia believes it may never be classified. yao is so poorly attested that gildier believes it may never be classified. yow is so poorly attested that gildier believes it may never be classified. yow is so poorly attested that guldia believes it may never be classified.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['yao is so poorly attested that gildier believes it may never be classified', 'yao is so poorly attested that guldia believes it may never be classified', 'yao is so poorly attested that gildier believes it may never be classified', 'yow is so poorly attested that gildier believes it may never be classified', 'yow is so poorly attested that guldia believes it may never be classified']
[ "it also explained all psychological disorders", "it also explained all psychological disorders", "it also explained all psychological disorders", "it also explained all psychological disorders", "it also explained all psychological disorders" ]
it also explained all psychological disorders
it also explained all psychological disorders.
it also explained all psychological disorders. it also explained all psychological disorders. it also explained all psychological disorders. it also explained all psychological disorders.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also explained all psychological disorders', 'it also explained all psychological disorders', 'it also explained all psychological disorders', 'it also explained all psychological disorders', 'it also explained all psychological disorders']
[ "unlike enemy disk trovers tron can block enemy disks with his own", "unlike enemy disks trovers tron can block enemy disks with his own", "unlike enemy disk trovers tron can block enemy disks with his own", "unlike enemy disk trovers trump can block enemy disks with his own", "unlike enemy disk trovers tron can block enemy disk with his own" ]
unlike enemy disk throwers tron can block enemy disks with his own
unlike enemy disk trovers tron can block enemy disks with his own.
unlike enemy disks trovers tron can block enemy disks with his own. unlike enemy disk trovers tron can block enemy disks with his own. unlike enemy disk trovers trump can block enemy disks with his own. unlike enemy disk trovers tron can block enemy disk with his own.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unlike enemy disk trovers tron can block enemy disks with his own', 'unlike enemy disks trovers tron can block enemy disks with his own', 'unlike enemy disk trovers tron can block enemy disks with his own', 'unlike enemy disk trovers trump can block enemy disks with his own', 'unlike enemy disk trovers tron can block enemy disk with his own']
[ "the hangar is linked to the meffarbad airport through a taxiway crossing turn across highway", "the hangar is linked to the mephrabad airport through a taxiway crossing turn across highway", "the hangar is linked to the mephrabad airport through a taxiway crossing taran khrush highway", "the hangar is linked to the meffarbad airport through a taxiway crossing turran cross highway", "the hangar is linked to the meffarbad airport through a taxiway crossing turran croche highway" ]
the hangar is linked to mehrabad airport through a taxiway crossing tehran karaj highway
the hangar is linked to the meffarbad airport through a taxiway crossing turn across highway.
the hangar is linked to the mephrabad airport through a taxiway crossing turn across highway. the hangar is linked to the mephrabad airport through a taxiway crossing taran khrush highway. the hangar is linked to the meffarbad airport through a taxiway crossing turran cross highway. the hangar is linked to the meffarbad airport through a taxiway crossing turran croche highway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hangar is linked to the meffarbad airport through a taxiway crossing turn across highway', 'the hangar is linked to the mephrabad airport through a taxiway crossing turn across highway', 'the hangar is linked to the mephrabad airport through a taxiway crossing taran khrush highway', 'the hangar is linked to the meffarbad airport through a taxiway crossing turran cross highway', 'the hangar is linked to the meffarbad airport through a taxiway crossing turran croche highway']
[ "the loss of this position forced him to work mainly on jobs", "the loss of this position forced him to work many on jobs", "the loss of his position forced him to work mainly on jobs", "the loss of this position forced him to work many long jobs", "the loss of his position forced him to work many on jobs" ]
the loss of his position forced him to work menial jobs
the loss of this position forced him to work mainly on jobs.
the loss of this position forced him to work many on jobs. the loss of his position forced him to work mainly on jobs. the loss of this position forced him to work many long jobs. the loss of his position forced him to work many on jobs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the loss of this position forced him to work mainly on jobs', 'the loss of this position forced him to work many on jobs', 'the loss of his position forced him to work mainly on jobs', 'the loss of this position forced him to work many long jobs', 'the loss of his position forced him to work many on jobs']
[ "it just is not a handle that it leads to", "it just is not a handle i relate to", "just is not a handle i will let you do", "just is not a handle i would like to do", "just is not a handle i relate to" ]
just is not a handle i relate to
it just is not a handle that it leads to.
it just is not a handle i relate to. just is not a handle i will let you do. just is not a handle i would like to do. just is not a handle i relate to.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it just is not a handle that it leads to', 'it just is not a handle i relate to', 'just is not a handle i will let you do', 'just is not a handle i would like to do', 'just is not a handle i relate to']
[ "the greens and the lips with true their own respective bills", "the greens and the lips fit through their own respective bills", "the greens and the lips we drew their own respective bills", "the greens and the lips with true their own respective bills", "the greens and the lips we drew their own respective bills" ]
the greens and the left withdrew their own respective bills
the greens and the lips with true their own respective bills.
the greens and the lips fit through their own respective bills. the greens and the lips we drew their own respective bills. the greens and the lips with true their own respective bills. the greens and the lips we drew their own respective bills.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the greens and the lips with true their own respective bills', 'the greens and the lips fit through their own respective bills', 'the greens and the lips we drew their own respective bills', 'the greens and the lips with true their own respective bills', 'the greens and the lips we drew their own respective bills']
[ "the trailing trucks carried the same axle load as the drivers which was unusual", "the trailing truck carried the same axle load as the drivers which was unusual", "the trailing trucks carried the same axle load as the drivers which was unusual", "the trailing truck carried the same axle load as the drivers which was unusual", "the trailing truck carried the same axle load as the drivers which was unusual" ]
the trailing truck carried the same axle load as the drivers which was unusual
the trailing trucks carried the same axle load as the drivers which was unusual.
the trailing truck carried the same axle load as the drivers which was unusual. the trailing trucks carried the same axle load as the drivers which was unusual. the trailing truck carried the same axle load as the drivers which was unusual. the trailing truck carried the same axle load as the drivers which was unusual.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the trailing trucks carried the same axle load as the drivers which was unusual', 'the trailing truck carried the same axle load as the drivers which was unusual', 'the trailing trucks carried the same axle load as the drivers which was unusual', 'the trailing truck carried the same axle load as the drivers which was unusual', 'the trailing truck carried the same axle load as the drivers which was unusual']
[ "some others consider algebra with partial functions", "some others consider algebra with partial functions", "some others consider algebra with partial functions", "some others consider algebra with partial functions", "some others consider algebra with partial functions" ]
some authors consider algebras with partial functions
some others consider algebra with partial functions.
some others consider algebra with partial functions. some others consider algebra with partial functions. some others consider algebra with partial functions. some others consider algebra with partial functions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some others consider algebra with partial functions', 'some others consider algebra with partial functions', 'some others consider algebra with partial functions', 'some others consider algebra with partial functions', 'some others consider algebra with partial functions']
[ "trump is press described them as one of america is finest and least formulaic root struck combos", "trump is press described them as one of america is finest and least formulaic roadstruck combos", "trump is press described them as one of america is finest and least formulaic root syrup combos", "traub suppress described them as one of america is finest and least formulaic root shrub combos", "trump is press described them as one of america is finest and least formulaic roadstrap combos" ]
trouser press described them as one of america is finest and least formulaic roots rock combos
trump is press described them as one of america is finest and least formulaic root struck combos.
trump is press described them as one of america is finest and least formulaic roadstruck combos. trump is press described them as one of america is finest and least formulaic root syrup combos. traub suppress described them as one of america is finest and least formulaic root shrub combos. trump is press described them as one of america is finest and least formulaic roadstrap combos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['trump is press described them as one of america is finest and least formulaic root struck combos', 'trump is press described them as one of america is finest and least formulaic roadstruck combos', 'trump is press described them as one of america is finest and least formulaic root syrup combos', 'traub suppress described them as one of america is finest and least formulaic root shrub combos', 'trump is press described them as one of america is finest and least formulaic roadstrap combos']
[ "its communist revolutionary spirit can be noticed on the contemporary club is logo", "it is communist revolutionary spirit can be noticed on the contemporary club is logo", "its communist revolutionary spirit can be noticed on the contemporary club is logo", "it is communist revolutionary spirit can be noticed on the contemporary club is logo", "it is communist revolutionary spirit can be noticed on the contemporary club is logo" ]
its communist revolutionary spirit can be noticed on the contemporary club is logo
its communist revolutionary spirit can be noticed on the contemporary club is logo.
it is communist revolutionary spirit can be noticed on the contemporary club is logo. its communist revolutionary spirit can be noticed on the contemporary club is logo. it is communist revolutionary spirit can be noticed on the contemporary club is logo. it is communist revolutionary spirit can be noticed on the contemporary club is logo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its communist revolutionary spirit can be noticed on the contemporary club is logo', 'it is communist revolutionary spirit can be noticed on the contemporary club is logo', 'its communist revolutionary spirit can be noticed on the contemporary club is logo', 'it is communist revolutionary spirit can be noticed on the contemporary club is logo', 'it is communist revolutionary spirit can be noticed on the contemporary club is logo']
[ "that same year it denounced an increase of the repression against members", "that same year it denounced an increase of their oppression against members", "that same year it announced an increase of the repression against members", "that same year it denounced an increase of the oppression against members", "that same year it is announcing increase of the repression against members" ]
that same year it denounced an increase of the repression against its members
that same year it denounced an increase of the repression against members.
that same year it denounced an increase of their oppression against members. that same year it announced an increase of the repression against members. that same year it denounced an increase of the oppression against members. that same year it is announcing increase of the repression against members.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that same year it denounced an increase of the repression against members', 'that same year it denounced an increase of their oppression against members', 'that same year it announced an increase of the repression against members', 'that same year it denounced an increase of the oppression against members', 'that same year it is announcing increase of the repression against members']
[ "the film was released by paramount pictures", "the film was released by paramount pictures", "the film was released by paramount pictures", "the film was released by paramount pictures", "the film was released by paramount pictures" ]
the film was released by paramount pictures
the film was released by paramount pictures.
the film was released by paramount pictures. the film was released by paramount pictures. the film was released by paramount pictures. the film was released by paramount pictures.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film was released by paramount pictures', 'the film was released by paramount pictures', 'the film was released by paramount pictures', 'the film was released by paramount pictures', 'the film was released by paramount pictures']
[ "graves filed within the short period of time left for filing", "graves filed within the short period of time left for filing", "graves filed within the short period of time left for filing", "graves filed within the short period of time left for filing", "graves filed within the short period of time left for filing" ]
graves filed within the short period of time left for filing
graves filed within the short period of time left for filing.
graves filed within the short period of time left for filing. graves filed within the short period of time left for filing. graves filed within the short period of time left for filing. graves filed within the short period of time left for filing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['graves filed within the short period of time left for filing', 'graves filed within the short period of time left for filing', 'graves filed within the short period of time left for filing', 'graves filed within the short period of time left for filing', 'graves filed within the short period of time left for filing']
[ "chris have been acclimatized into spain but are royally cultivated there", "chris have been acclimatized into spain but are rarely cultivated there", "chris have been acclimatized into spain but are rarely cultivated there", "chris have been acclimatized in spain but are royally cultivated there", "chris have been acclimatized in spain but are rarely cultivated there" ]
trees have been acclimatized in spain but are rarely cultivated there
chris have been acclimatized into spain but are royally cultivated there.
chris have been acclimatized into spain but are rarely cultivated there. chris have been acclimatized into spain but are rarely cultivated there. chris have been acclimatized in spain but are royally cultivated there. chris have been acclimatized in spain but are rarely cultivated there.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chris have been acclimatized into spain but are royally cultivated there', 'chris have been acclimatized into spain but are rarely cultivated there', 'chris have been acclimatized into spain but are rarely cultivated there', 'chris have been acclimatized in spain but are royally cultivated there', 'chris have been acclimatized in spain but are rarely cultivated there']
[ "in the order records have a similar magnitude of error", "in the order records have a similar magnitude of error", "in the older records have a similar magnitude of error", "in the older records have a similar magnitude of error", "and the order records have a similar magnitude of error" ]
even the older records have a similar magnitude of error
in the order records have a similar magnitude of error.
in the order records have a similar magnitude of error. in the older records have a similar magnitude of error. in the older records have a similar magnitude of error. and the order records have a similar magnitude of error.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the order records have a similar magnitude of error', 'in the order records have a similar magnitude of error', 'in the older records have a similar magnitude of error', 'in the older records have a similar magnitude of error', 'and the order records have a similar magnitude of error']
[ "he grows distant from maxine and eventually breaks up with her", "he grows distant from maxine and eventually breaks up with her", "he grows distant from maxine and eventually breaks up with her", "he grows distant from maxine and eventually breaks up with her", "he grows distant from maxine and eventually breaks up with her" ]
he grows distant from maxine and eventually breaks up with her
he grows distant from maxine and eventually breaks up with her.
he grows distant from maxine and eventually breaks up with her. he grows distant from maxine and eventually breaks up with her. he grows distant from maxine and eventually breaks up with her. he grows distant from maxine and eventually breaks up with her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he grows distant from maxine and eventually breaks up with her', 'he grows distant from maxine and eventually breaks up with her', 'he grows distant from maxine and eventually breaks up with her', 'he grows distant from maxine and eventually breaks up with her', 'he grows distant from maxine and eventually breaks up with her']
[ "he was founder and director of weightless language press", "he was founder and director of waitless language press", "he was founder and director of weightless language press", "he was founder and director of waitless language press", "he was founder and director of waitlist language press" ]
he was founder and director of weightless language press
he was founder and director of weightless language press.
he was founder and director of waitless language press. he was founder and director of weightless language press. he was founder and director of waitless language press. he was founder and director of waitlist language press.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was founder and director of weightless language press', 'he was founder and director of waitless language press', 'he was founder and director of weightless language press', 'he was founder and director of waitless language press', 'he was founder and director of waitlist language press']
[ "it is charged with administration and delivery of public health care in new brunswick", "it is charged with administration and delivery of public healthcare in new brunswick", "it is charged with administration and delivery of public healthcare in new brunswick", "it is charged with administration and delivery of public healthcare in new brunswick", "it is charged with administration and delivery of public health care in new brunswick" ]
it is charged with administration and delivery of public healthcare in new brunswick
it is charged with administration and delivery of public health care in new brunswick.
it is charged with administration and delivery of public healthcare in new brunswick. it is charged with administration and delivery of public healthcare in new brunswick. it is charged with administration and delivery of public healthcare in new brunswick. it is charged with administration and delivery of public health care in new brunswick.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is charged with administration and delivery of public health care in new brunswick', 'it is charged with administration and delivery of public healthcare in new brunswick', 'it is charged with administration and delivery of public healthcare in new brunswick', 'it is charged with administration and delivery of public healthcare in new brunswick', 'it is charged with administration and delivery of public health care in new brunswick']
[ "during its production this generation saw relatively few functional changes", "during its production this generation is so relatively few functional changes", "during its production this generation so relatively few functional changes", "during its production this generation saw relatively few functional changes", "during its production this generation saw relatively few functional changes" ]
during its production this generation saw relatively few functional changes
during its production this generation saw relatively few functional changes.
during its production this generation is so relatively few functional changes. during its production this generation so relatively few functional changes. during its production this generation saw relatively few functional changes. during its production this generation saw relatively few functional changes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during its production this generation saw relatively few functional changes', 'during its production this generation is so relatively few functional changes', 'during its production this generation so relatively few functional changes', 'during its production this generation saw relatively few functional changes', 'during its production this generation saw relatively few functional changes']
[ "the fat woman wearing faint blue top is blowing so bobbling", "a fat woman wearing faint blue top is blowing so bobbling", "the fat woman wearing faint blue top is blowing so bubbly", "a fat woman wearing faint blue top is blowing soap on him", "the fat woman wearing faint blue top is blowing so probably" ]
a fat woman wearing faint blue top is blowing soap bubble
the fat woman wearing faint blue top is blowing so bobbling.
a fat woman wearing faint blue top is blowing so bobbling. the fat woman wearing faint blue top is blowing so bubbly. a fat woman wearing faint blue top is blowing soap on him. the fat woman wearing faint blue top is blowing so probably.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the fat woman wearing faint blue top is blowing so bobbling', 'a fat woman wearing faint blue top is blowing so bobbling', 'the fat woman wearing faint blue top is blowing so bubbly', 'a fat woman wearing faint blue top is blowing soap on him', 'the fat woman wearing faint blue top is blowing so probably']
[ "the large family of amiauses referred to by charles kingsley and westwood hoer", "the large family of amiauses referred to by charles kingsley and westwood hoer", "the large family of anyauses referred to by charles kingsley and westwood hoer", "the large family of anyaus is referred to by charles kingsley and westwood hoer", "the lodge family of amiauses referred to by charles kingsley and westwood hoer" ]
the large family of amyas is referred to by charles kingsley in westward ho
the large family of amiauses referred to by charles kingsley and westwood hoer.
the large family of amiauses referred to by charles kingsley and westwood hoer. the large family of anyauses referred to by charles kingsley and westwood hoer. the large family of anyaus is referred to by charles kingsley and westwood hoer. the lodge family of amiauses referred to by charles kingsley and westwood hoer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the large family of amiauses referred to by charles kingsley and westwood hoer', 'the large family of amiauses referred to by charles kingsley and westwood hoer', 'the large family of anyauses referred to by charles kingsley and westwood hoer', 'the large family of anyaus is referred to by charles kingsley and westwood hoer', 'the lodge family of amiauses referred to by charles kingsley and westwood hoer']
[ "canilau said that her family were still reeling from the effects of the coup", "canilow said that her family were still reeling from the effects of the coup", "canilao said that her family were still reeling from the effects of the coup", "kanilao said that her family were still reeling from the effects of the coup", "canilau said that her family was still reeling from the effects of the coup" ]
ganilau said that her family was still reeling from the effects of the coup
canilau said that her family were still reeling from the effects of the coup.
canilow said that her family were still reeling from the effects of the coup. canilao said that her family were still reeling from the effects of the coup. kanilao said that her family were still reeling from the effects of the coup. canilau said that her family was still reeling from the effects of the coup.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['canilau said that her family were still reeling from the effects of the coup', 'canilow said that her family were still reeling from the effects of the coup', 'canilao said that her family were still reeling from the effects of the coup', 'kanilao said that her family were still reeling from the effects of the coup', 'canilau said that her family was still reeling from the effects of the coup']
[ "he invented a double horizontal sundial now named the orchard type after him", "he invented a double horizontal sundial now named the orchid type after him", "he invented double horizontal sundial now named the orchard type after him", "he invented double horizontal sundial now named the orchid type after him", "he invented a double horizontal sundial now name the orchard type after him" ]
he invented the double horizontal sundial now named oughtred type after him
he invented a double horizontal sundial now named the orchard type after him.
he invented a double horizontal sundial now named the orchid type after him. he invented double horizontal sundial now named the orchard type after him. he invented double horizontal sundial now named the orchid type after him. he invented a double horizontal sundial now name the orchard type after him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he invented a double horizontal sundial now named the orchard type after him', 'he invented a double horizontal sundial now named the orchid type after him', 'he invented double horizontal sundial now named the orchard type after him', 'he invented double horizontal sundial now named the orchid type after him', 'he invented a double horizontal sundial now name the orchard type after him']
[ "special issues follow the same format but i usually guess edited", "special issues follow the same format but are usually guest edited", "special issues follow the same format but are usually guest edited", "special issues follow the same format but are usually guest edited", "special issues follow the same format but i usually guess edited" ]
special issues follow the same format but are usually guest edited
special issues follow the same format but i usually guess edited.
special issues follow the same format but are usually guest edited. special issues follow the same format but are usually guest edited. special issues follow the same format but are usually guest edited. special issues follow the same format but i usually guess edited.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['special issues follow the same format but i usually guess edited', 'special issues follow the same format but are usually guest edited', 'special issues follow the same format but are usually guest edited', 'special issues follow the same format but are usually guest edited', 'special issues follow the same format but i usually guess edited']
[ "japanese participants include kunio mayokawa yoshinobu ashikata and kazuro shinohara", "japanese participants include kunio mayakawa yoshinobu ashikata and kazuro shinohara", "japanese participants include kunio mayukawa yoshinobu ashikata and kazuro shinohara", "japanese participants include kunio mayokawa yoshinobu ashikada and kazuro shinohara", "japanese participants include kunio mayokawa yoshunobu ashikata and kazuro shinohara" ]
japanese participants included kunio maekawa yoshinobu ashihara and kazuo shinohara
japanese participants include kunio mayokawa yoshinobu ashikata and kazuro shinohara.
japanese participants include kunio mayakawa yoshinobu ashikata and kazuro shinohara. japanese participants include kunio mayukawa yoshinobu ashikata and kazuro shinohara. japanese participants include kunio mayokawa yoshinobu ashikada and kazuro shinohara. japanese participants include kunio mayokawa yoshunobu ashikata and kazuro shinohara.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['japanese participants include kunio mayokawa yoshinobu ashikata and kazuro shinohara', 'japanese participants include kunio mayakawa yoshinobu ashikata and kazuro shinohara', 'japanese participants include kunio mayukawa yoshinobu ashikata and kazuro shinohara', 'japanese participants include kunio mayokawa yoshinobu ashikada and kazuro shinohara', 'japanese participants include kunio mayokawa yoshunobu ashikata and kazuro shinohara']
[ "the desert is an excellent example of a cold desert climate", "the desert is an excellent example of a cool desert climate", "the desert is an excellent example of a cold desert climate", "the desert is an excellent example of a cold desert climates", "the desert is an excellent example of a cold desert climate" ]
the desert is an excellent example of a cold desert climate
the desert is an excellent example of a cold desert climate.
the desert is an excellent example of a cool desert climate. the desert is an excellent example of a cold desert climate. the desert is an excellent example of a cold desert climates. the desert is an excellent example of a cold desert climate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the desert is an excellent example of a cold desert climate', 'the desert is an excellent example of a cool desert climate', 'the desert is an excellent example of a cold desert climate', 'the desert is an excellent example of a cold desert climates', 'the desert is an excellent example of a cold desert climate']
[ "stony grove estate a former plantation is located here", "stoney grove estate a former plantation is located here", "stoney grover state a former plantation is located here", "stony grove estate a former plantation is located here", "stoney grova state a former plantation is located here" ]
stoney grove estate a former plantation is located here
stony grove estate a former plantation is located here.
stoney grove estate a former plantation is located here. stoney grover state a former plantation is located here. stony grove estate a former plantation is located here. stoney grova state a former plantation is located here.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stony grove estate a former plantation is located here', 'stoney grove estate a former plantation is located here', 'stoney grover state a former plantation is located here', 'stony grove estate a former plantation is located here', 'stoney grova state a former plantation is located here']
[ "gothenburg was also the birthplace of the swedish composer kurt atterberg", "gothenburg was also the birthplace of this swedish composer kurt atterberg", "gothenburg was also the birthplace of the swedish composer kurt attenberg", "gothenburg was also the birthplace of this swedish composer kurt atterberg", "gothenburg was also the birthplace of this swedish composer kurt attenberg" ]
gothenburg also was the birthplace of the swedish composer kurt atterberg
gothenburg was also the birthplace of the swedish composer kurt atterberg.
gothenburg was also the birthplace of this swedish composer kurt atterberg. gothenburg was also the birthplace of the swedish composer kurt attenberg. gothenburg was also the birthplace of this swedish composer kurt atterberg. gothenburg was also the birthplace of this swedish composer kurt attenberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gothenburg was also the birthplace of the swedish composer kurt atterberg', 'gothenburg was also the birthplace of this swedish composer kurt atterberg', 'gothenburg was also the birthplace of the swedish composer kurt attenberg', 'gothenburg was also the birthplace of this swedish composer kurt atterberg', 'gothenburg was also the birthplace of this swedish composer kurt attenberg']
[ "backlay township was named for an early settler", "barclay township was named for an early settler", "bucklay township was named for an early settler", "backlay township was named for an early settler", "backlay township was named for an early settler" ]
barclay township was named for an early settler
backlay township was named for an early settler.
barclay township was named for an early settler. bucklay township was named for an early settler. backlay township was named for an early settler. backlay township was named for an early settler.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['backlay township was named for an early settler', 'barclay township was named for an early settler', 'bucklay township was named for an early settler', 'backlay township was named for an early settler', 'backlay township was named for an early settler']
[ "some also choose to adapt", "some also chose to adapt", "some also choose to adapt", "some also choose to add out", "some also chose to adapt" ]
some also choose to adopt
some also choose to adapt.
some also chose to adapt. some also choose to adapt. some also choose to add out. some also chose to adapt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some also choose to adapt', 'some also chose to adapt', 'some also choose to adapt', 'some also choose to add out', 'some also chose to adapt']
[ "in each case he is equated with the roman god mars", "in each case he is equated with the roman god mars", "in each case he is equated with the roman god mars", "in each case he is equated with the roman god mars", "in each case he is equated with the roman god mars" ]
in each case he is equated with the roman god mars
in each case he is equated with the roman god mars.
in each case he is equated with the roman god mars. in each case he is equated with the roman god mars. in each case he is equated with the roman god mars. in each case he is equated with the roman god mars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in each case he is equated with the roman god mars', 'in each case he is equated with the roman god mars', 'in each case he is equated with the roman god mars', 'in each case he is equated with the roman god mars', 'in each case he is equated with the roman god mars']
[ "however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts", "however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts", "however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts", "however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts", "however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts" ]
however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts
however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts.
however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts. however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts. however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts. however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts', 'however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts', 'however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts', 'however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts', 'however his nickname is typically translated as badger by anglophone cycling commentators and enthusiasts']
[ "dad in poverty at part near by now", "that in poverty at part near by now", "die in poverty at part near by now", "that in poverty at part near by now", "dad in poverty at part near by now" ]
died in poverty at park near bearna
dad in poverty at part near by now.
that in poverty at part near by now. die in poverty at part near by now. that in poverty at part near by now. dad in poverty at part near by now.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dad in poverty at part near by now', 'that in poverty at part near by now', 'die in poverty at part near by now', 'that in poverty at part near by now', 'dad in poverty at part near by now']
[ "tillindini is an old swahili term meaning deep", "killin dini is an old swahili term meaning deep", "tillin dini is an old swahili term meaning deep", "tillindini is an old swahili term meaning deep", "killin dini is an old swahili term meaning deep" ]
kilindini is an old swahili term meaning deep
tillindini is an old swahili term meaning deep.
killin dini is an old swahili term meaning deep. tillin dini is an old swahili term meaning deep. tillindini is an old swahili term meaning deep. killin dini is an old swahili term meaning deep.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tillindini is an old swahili term meaning deep', 'killin dini is an old swahili term meaning deep', 'tillin dini is an old swahili term meaning deep', 'tillindini is an old swahili term meaning deep', 'killin dini is an old swahili term meaning deep']
[ "this is when daddy taught her how to ride her scooter", "this is when daddy taught her how to ride her scooter", "this is when daddy taught her how to ride her scooter", "this is when diary taught her how to ride her scooter", "this is when daddy taught her how to ride her scooter" ]
this is when daddy taught her how to ride her scooter
this is when daddy taught her how to ride her scooter.
this is when daddy taught her how to ride her scooter. this is when daddy taught her how to ride her scooter. this is when diary taught her how to ride her scooter. this is when daddy taught her how to ride her scooter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is when daddy taught her how to ride her scooter', 'this is when daddy taught her how to ride her scooter', 'this is when daddy taught her how to ride her scooter', 'this is when diary taught her how to ride her scooter', 'this is when daddy taught her how to ride her scooter']
[ "there is no evidence that being out of tune can only harm the piano itself", "there is no evidence that being out of tune probably harmed the piano itself", "there is no evidence that being out of tune probably harms the piano itself", "there is no evidence that being out of tune permanently harmed the piano itself", "there is no evidence that being out of tune permanently harms the piano itself" ]
there is no evidence that being out of tune permanently harms the piano itself
there is no evidence that being out of tune can only harm the piano itself.
there is no evidence that being out of tune probably harmed the piano itself. there is no evidence that being out of tune probably harms the piano itself. there is no evidence that being out of tune permanently harmed the piano itself. there is no evidence that being out of tune permanently harms the piano itself.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is no evidence that being out of tune can only harm the piano itself', 'there is no evidence that being out of tune probably harmed the piano itself', 'there is no evidence that being out of tune probably harms the piano itself', 'there is no evidence that being out of tune permanently harmed the piano itself', 'there is no evidence that being out of tune permanently harms the piano itself']
[ "he began associating with fast women and fast cars throughout the san fernando valley", "he began associating with fast women and fast cast throughout the san fernando valley", "he began associating with fast women in fast cars throughout the san fernando valley", "he began associating with false women and false cast throughout the san fernando valley", "he began associating with vast women and fast cars throughout the san fernando valley" ]
he began associating with fast women and fast cars throughout the san fernando valley
he began associating with fast women and fast cars throughout the san fernando valley.
he began associating with fast women and fast cast throughout the san fernando valley. he began associating with fast women in fast cars throughout the san fernando valley. he began associating with false women and false cast throughout the san fernando valley. he began associating with vast women and fast cars throughout the san fernando valley.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he began associating with fast women and fast cars throughout the san fernando valley', 'he began associating with fast women and fast cast throughout the san fernando valley', 'he began associating with fast women in fast cars throughout the san fernando valley', 'he began associating with false women and false cast throughout the san fernando valley', 'he began associating with vast women and fast cars throughout the san fernando valley']
[ "this road starts at the foreshore forming a junction with victory parade", "this road starts at the foreshore forming a junction with victory parade", "this road starts at the foreshore forming a junction with victory parade", "this road starts at the foreshore forming a junction with victory parade", "this road starts at the foreshore forming a junction with victory parade" ]
this road starts at the foreshore forming a junction with victory parade
this road starts at the foreshore forming a junction with victory parade.
this road starts at the foreshore forming a junction with victory parade. this road starts at the foreshore forming a junction with victory parade. this road starts at the foreshore forming a junction with victory parade. this road starts at the foreshore forming a junction with victory parade.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this road starts at the foreshore forming a junction with victory parade', 'this road starts at the foreshore forming a junction with victory parade', 'this road starts at the foreshore forming a junction with victory parade', 'this road starts at the foreshore forming a junction with victory parade', 'this road starts at the foreshore forming a junction with victory parade']
[ "you do not know nothing of your sex race nationality or individual tastes", "you do not know nothing of your sex race nationality or individual tastes", "you do not know nothing of your sex race nationality or individual taste", "you do not know nothing of your sex race nationality or individual taste", "you know nothing of your sex race nationality or individual tastes" ]
you know nothing of your sex race nationality or individual tastes
you do not know nothing of your sex race nationality or individual tastes.
you do not know nothing of your sex race nationality or individual tastes. you do not know nothing of your sex race nationality or individual taste. you do not know nothing of your sex race nationality or individual taste. you know nothing of your sex race nationality or individual tastes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you do not know nothing of your sex race nationality or individual tastes', 'you do not know nothing of your sex race nationality or individual tastes', 'you do not know nothing of your sex race nationality or individual taste', 'you do not know nothing of your sex race nationality or individual taste', 'you know nothing of your sex race nationality or individual tastes']
[ "the watchtower society has acknowledged that some members have died after refusing blood", "the watts tower society has acknowledged that some members have died after refusing blood", "the watchtower society has acknowledged that some members have died after refusing blood", "the watts tower society has acknowledged that some members have died after refusing blood", "the watts tower society has acknowledged that some members have died after refusing blood" ]
the watch tower society has acknowledged that some members have died after refusing blood
the watchtower society has acknowledged that some members have died after refusing blood.
the watts tower society has acknowledged that some members have died after refusing blood. the watchtower society has acknowledged that some members have died after refusing blood. the watts tower society has acknowledged that some members have died after refusing blood. the watts tower society has acknowledged that some members have died after refusing blood.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the watchtower society has acknowledged that some members have died after refusing blood', 'the watts tower society has acknowledged that some members have died after refusing blood', 'the watchtower society has acknowledged that some members have died after refusing blood', 'the watts tower society has acknowledged that some members have died after refusing blood', 'the watts tower society has acknowledged that some members have died after refusing blood']
[ "chinwara is reachable by rail or road from other cities nagpur and javaalpur", "chinwara is reachable by rail or road from other cities nagpur and jabalpur", "chinwara is reachable by rail or road from other cities nakhvara and jabalpur", "chenwara is reachable by rail or road from other cities nagpur and javaalpur", "chinwara is reachable by rail or road from other cities nakhvara and jabalpur" ]
chhindwara is reachable by rail or road from adjacent cities nagpur and jabalpur
chinwara is reachable by rail or road from other cities nagpur and javaalpur.
chinwara is reachable by rail or road from other cities nagpur and jabalpur. chinwara is reachable by rail or road from other cities nakhvara and jabalpur. chenwara is reachable by rail or road from other cities nagpur and javaalpur. chinwara is reachable by rail or road from other cities nakhvara and jabalpur.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chinwara is reachable by rail or road from other cities nagpur and javaalpur', 'chinwara is reachable by rail or road from other cities nagpur and jabalpur', 'chinwara is reachable by rail or road from other cities nakhvara and jabalpur', 'chenwara is reachable by rail or road from other cities nagpur and javaalpur', 'chinwara is reachable by rail or road from other cities nakhvara and jabalpur']
[ "most species have yellow flowers but some have white purple pink red", "most species have yellow flowers but somehow white purple pink or red", "most species have yellow flowers but some have white purple pink red", "most species have yellow flowers but somehow white purple pink or red", "most species have yellow flowers but some have white purple pinkal red" ]
most species have yellow flowers but some have white purple pink or red
most species have yellow flowers but some have white purple pink red.
most species have yellow flowers but somehow white purple pink or red. most species have yellow flowers but some have white purple pink red. most species have yellow flowers but somehow white purple pink or red. most species have yellow flowers but some have white purple pinkal red.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most species have yellow flowers but some have white purple pink red', 'most species have yellow flowers but somehow white purple pink or red', 'most species have yellow flowers but some have white purple pink red', 'most species have yellow flowers but somehow white purple pink or red', 'most species have yellow flowers but some have white purple pinkal red']
[ "an arrest warrant was issued against him from kerala", "and narest warren was issued against him from kerala", "and that is what was the shoot against him from kerala", "and arrest warren was issued against him from kerala", "and that is what it was issued against him from kerala" ]
an arrest warrant was issued against him from kerala
an arrest warrant was issued against him from kerala.
and narest warren was issued against him from kerala. and that is what was the shoot against him from kerala. and arrest warren was issued against him from kerala. and that is what it was issued against him from kerala.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an arrest warrant was issued against him from kerala', 'and narest warren was issued against him from kerala', 'and that is what was the shoot against him from kerala', 'and arrest warren was issued against him from kerala', 'and that is what it was issued against him from kerala']
[ "collectively and individually this failures crippled the several of the major studios", "collectively and individually this failures crippled the several of the music videos", "collectively and individually this failures crippled the several of the major videos", "collectively and individually this failures crippled the several of the major studios", "collectively and individually this failures crippled the several of the midget videos" ]
collectively and individually these failures crippled several of the major studios
collectively and individually this failures crippled the several of the major studios.
collectively and individually this failures crippled the several of the music videos. collectively and individually this failures crippled the several of the major videos. collectively and individually this failures crippled the several of the major studios. collectively and individually this failures crippled the several of the midget videos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['collectively and individually this failures crippled the several of the major studios', 'collectively and individually this failures crippled the several of the music videos', 'collectively and individually this failures crippled the several of the major videos', 'collectively and individually this failures crippled the several of the major studios', 'collectively and individually this failures crippled the several of the midget videos']
[ "find me the show with the name of for hope", "find me the show with the name of four hope", "find me the show with the name of for hope", "find me the show with the name of four hope", "find me the show with the name of for hope" ]
find me the show with the name of for hope
find me the show with the name of for hope.
find me the show with the name of four hope. find me the show with the name of for hope. find me the show with the name of four hope. find me the show with the name of for hope.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['find me the show with the name of for hope', 'find me the show with the name of four hope', 'find me the show with the name of for hope', 'find me the show with the name of four hope', 'find me the show with the name of for hope']
[ "this is usually conducted in development and excavations as part of project management planning", "this is usually conducted in development at excavations as part of project management planning", "this is usually conducted in development examinations as part of project management planning", "this is usually conducted in development and excavations as part of project management planning", "this is usually conducted in development excavations as part of project management planning" ]
this is usually conducted in development led excavations as part of project management planning
this is usually conducted in development and excavations as part of project management planning.
this is usually conducted in development at excavations as part of project management planning. this is usually conducted in development examinations as part of project management planning. this is usually conducted in development and excavations as part of project management planning. this is usually conducted in development excavations as part of project management planning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is usually conducted in development and excavations as part of project management planning', 'this is usually conducted in development at excavations as part of project management planning', 'this is usually conducted in development examinations as part of project management planning', 'this is usually conducted in development and excavations as part of project management planning', 'this is usually conducted in development excavations as part of project management planning']
[ "a class action suit was filed against china airlines and airbus industry for compensation", "a class assessment suit was filed against china airlines and airbus industry for compensation", "a class session souped was filed against china airlines and airbus industry for compensation", "a class session in suit was filed against china airlines and airbus industry for compensation", "a class measurement suit was filed against china airlines and airbus industry for compensation" ]
a class action suit was filed against china airlines and airbus industrie for compensation
a class action suit was filed against china airlines and airbus industry for compensation.
a class assessment suit was filed against china airlines and airbus industry for compensation. a class session souped was filed against china airlines and airbus industry for compensation. a class session in suit was filed against china airlines and airbus industry for compensation. a class measurement suit was filed against china airlines and airbus industry for compensation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a class action suit was filed against china airlines and airbus industry for compensation', 'a class assessment suit was filed against china airlines and airbus industry for compensation', 'a class session souped was filed against china airlines and airbus industry for compensation', 'a class session in suit was filed against china airlines and airbus industry for compensation', 'a class measurement suit was filed against china airlines and airbus industry for compensation']
[ "adriana is the niece of jackie and richie aprile", "adriana is the niece of jackie and richie apriola", "adriana is the niece of jackie and richie aprila", "adrianna is the niece of jackie and richie aprile", "adrianna is the niece of jackie and richie apriola" ]
adriana is the niece of jackie and richie aprile
adriana is the niece of jackie and richie aprile.
adriana is the niece of jackie and richie apriola. adriana is the niece of jackie and richie aprila. adrianna is the niece of jackie and richie aprile. adrianna is the niece of jackie and richie apriola.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['adriana is the niece of jackie and richie aprile', 'adriana is the niece of jackie and richie apriola', 'adriana is the niece of jackie and richie aprila', 'adrianna is the niece of jackie and richie aprile', 'adrianna is the niece of jackie and richie apriola']
[ "life threatening science usually includes those due to the degeneration of the nervous system", "life threatening science usually include those due to the degeneration of the nervous system", "life fishing science usually includes those due to the degeneration of the nervous system", "life threatening science usually includes those due to the degeneration of the nervous system", "life threatening science usually include those due to the degeneration of the nervous system" ]
life threatening signs usually include those due to the degeneration of the nervous system
life threatening science usually includes those due to the degeneration of the nervous system.
life threatening science usually include those due to the degeneration of the nervous system. life fishing science usually includes those due to the degeneration of the nervous system. life threatening science usually includes those due to the degeneration of the nervous system. life threatening science usually include those due to the degeneration of the nervous system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['life threatening science usually includes those due to the degeneration of the nervous system', 'life threatening science usually include those due to the degeneration of the nervous system', 'life fishing science usually includes those due to the degeneration of the nervous system', 'life threatening science usually includes those due to the degeneration of the nervous system', 'life threatening science usually include those due to the degeneration of the nervous system']
[ "the real chromatographic analysis starts with the introduction of the sample onto the curve", "the real chromatographic analysis starts with the introduction of the sample onto the curve", "the real chromatographic analysis starts with the introduction of the sample on to the curve", "the real chromatographic analysis starts with the introduction of the sample onto the curb", "the real chromatographic analysis starts with the introduction of the sample onto the curve" ]
the real chromatographic analysis starts with the introduction of the sample onto the column
the real chromatographic analysis starts with the introduction of the sample onto the curve.
the real chromatographic analysis starts with the introduction of the sample onto the curve. the real chromatographic analysis starts with the introduction of the sample on to the curve. the real chromatographic analysis starts with the introduction of the sample onto the curb. the real chromatographic analysis starts with the introduction of the sample onto the curve.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the real chromatographic analysis starts with the introduction of the sample onto the curve', 'the real chromatographic analysis starts with the introduction of the sample onto the curve', 'the real chromatographic analysis starts with the introduction of the sample on to the curve', 'the real chromatographic analysis starts with the introduction of the sample onto the curb', 'the real chromatographic analysis starts with the introduction of the sample onto the curve']
[ "some herbunas had posts in academics or churches while others were strictly amateur", "some herbuuness had posts in academics or churches while others were strictly amateur", "some herbuiness had posts in academics or churches while others were strictly amateur", "some herbuiness had posts in academics or churches while others were strictly amateur", "some herbunus had posts in academics or churches while others were strictly amateur" ]
some hebraists had posts in academies or churches while others were strictly amateur
some herbunas had posts in academics or churches while others were strictly amateur.
some herbuuness had posts in academics or churches while others were strictly amateur. some herbuiness had posts in academics or churches while others were strictly amateur. some herbuiness had posts in academics or churches while others were strictly amateur. some herbunus had posts in academics or churches while others were strictly amateur.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some herbunas had posts in academics or churches while others were strictly amateur', 'some herbuuness had posts in academics or churches while others were strictly amateur', 'some herbuiness had posts in academics or churches while others were strictly amateur', 'some herbuiness had posts in academics or churches while others were strictly amateur', 'some herbunus had posts in academics or churches while others were strictly amateur']
[ "the collection was expanded by albert is successes", "the collection was expanded by albert successes", "the collection was expanded by all the successes", "the collection was expanded by albert successes", "the collection was expanded by outfits successes" ]
the collection was expanded by albert is successors
the collection was expanded by albert is successes.
the collection was expanded by albert successes. the collection was expanded by all the successes. the collection was expanded by albert successes. the collection was expanded by outfits successes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the collection was expanded by albert is successes', 'the collection was expanded by albert successes', 'the collection was expanded by all the successes', 'the collection was expanded by albert successes', 'the collection was expanded by outfits successes']
[ "turns are usually attached to a fixed body part such as this skeleton", "turns are usually attached to a fixed body part such as the skeleton", "turns are usually attached to a six body part such as this skeleton", "turns are usually attached to a six body part such as this skeleton", "turns are usually attached to a six body part such as the skeleton" ]
the ends are usually attached to a fixed body part such as the skeleton
turns are usually attached to a fixed body part such as this skeleton.
turns are usually attached to a fixed body part such as the skeleton. turns are usually attached to a six body part such as this skeleton. turns are usually attached to a six body part such as this skeleton. turns are usually attached to a six body part such as the skeleton.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['turns are usually attached to a fixed body part such as this skeleton', 'turns are usually attached to a fixed body part such as the skeleton', 'turns are usually attached to a six body part such as this skeleton', 'turns are usually attached to a six body part such as this skeleton', 'turns are usually attached to a six body part such as the skeleton']
[ "the large lignite deposits around megalopoli are being exploited by open pit mining", "the large lignite deposits around megalopoli are being exploited by open pit mining", "the large lignite deposits around megalopoli are being exploited by open pit mining", "the large lignite deposits around megalopoli are being exploited by openpit mining", "the large lignite deposits around megalopoli are being exploited by open pit mining" ]
the large lignite deposits around megalopoli are being exploited by open pit mining
the large lignite deposits around megalopoli are being exploited by open pit mining.
the large lignite deposits around megalopoli are being exploited by open pit mining. the large lignite deposits around megalopoli are being exploited by open pit mining. the large lignite deposits around megalopoli are being exploited by openpit mining. the large lignite deposits around megalopoli are being exploited by open pit mining.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the large lignite deposits around megalopoli are being exploited by open pit mining', 'the large lignite deposits around megalopoli are being exploited by open pit mining', 'the large lignite deposits around megalopoli are being exploited by open pit mining', 'the large lignite deposits around megalopoli are being exploited by openpit mining', 'the large lignite deposits around megalopoli are being exploited by open pit mining']
[ "revival initially took shape as an instrument too with lyrics as an aftertall", "revival initially took shape as an instrument tool with lyrics as an aftertall", "revival initially took shape as an instrument too with lyrics as an afterthought", "revival initially took shape as an instrument tool with lyrics as an afterthought", "revival initially took shape as an instrument tool with lyrics as an aftertool" ]
revival initially took shape as an instrumental with lyrics as an afterthought
revival initially took shape as an instrument too with lyrics as an aftertall.
revival initially took shape as an instrument tool with lyrics as an aftertall. revival initially took shape as an instrument too with lyrics as an afterthought. revival initially took shape as an instrument tool with lyrics as an afterthought. revival initially took shape as an instrument tool with lyrics as an aftertool.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['revival initially took shape as an instrument too with lyrics as an aftertall', 'revival initially took shape as an instrument tool with lyrics as an aftertall', 'revival initially took shape as an instrument too with lyrics as an afterthought', 'revival initially took shape as an instrument tool with lyrics as an afterthought', 'revival initially took shape as an instrument tool with lyrics as an aftertool']
[ "the holocaust in late minutes", "the holocaust in late marits", "the holocaust in late minutes", "the holocaust in late minutes", "the holocaust in late mirits" ]
the holocaust in leitmeritz
the holocaust in late minutes.
the holocaust in late marits. the holocaust in late minutes. the holocaust in late minutes. the holocaust in late mirits.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the holocaust in late minutes', 'the holocaust in late marits', 'the holocaust in late minutes', 'the holocaust in late minutes', 'the holocaust in late mirits']
[ "he specializes in pest management", "he specialized in pest management", "he specializes in pest management", "he specializes in past management", "he specialized in pest management" ]
he specialized in pest management
he specializes in pest management.
he specialized in pest management. he specializes in pest management. he specializes in past management. he specialized in pest management.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he specializes in pest management', 'he specialized in pest management', 'he specializes in pest management', 'he specializes in past management', 'he specialized in pest management']
[ "i know this claim this is a rare achievement", "analyst claim this is a rare achievement", "analyst claim this is a rare achievement", "i know this claim this is a rare achievement", "i know this claim this is a rare achievement" ]
analysts claim this is a rare achievement
i know this claim this is a rare achievement.
analyst claim this is a rare achievement. analyst claim this is a rare achievement. i know this claim this is a rare achievement. i know this claim this is a rare achievement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i know this claim this is a rare achievement', 'analyst claim this is a rare achievement', 'analyst claim this is a rare achievement', 'i know this claim this is a rare achievement', 'i know this claim this is a rare achievement']
[ "douglaston is served by the new york city bus routes", "douglaston is served by the new york city bus groups", "doug liston is served by the new york city bus routes", "doug liston is served by the new york city bus routes", "douglaston is served by the new york city bus groups" ]
douglaston is served by the new york city bus routes
douglaston is served by the new york city bus routes.
douglaston is served by the new york city bus groups. doug liston is served by the new york city bus routes. doug liston is served by the new york city bus routes. douglaston is served by the new york city bus groups.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['douglaston is served by the new york city bus routes', 'douglaston is served by the new york city bus groups', 'doug liston is served by the new york city bus routes', 'doug liston is served by the new york city bus routes', 'douglaston is served by the new york city bus groups']
[ "the hook ladder then hangs suspended vertically down the face of the building", "the hook ladder then hangs suspended vertically down the face of the building", "the hook letter then hangs suspended vertically down the face of the building", "the hook letter then hangs suspended vertically down the face of the building", "the hooked ladder then hangs suspended vertically down the face of the building" ]
the hooked ladder then hangs suspended vertically down the face of the building
the hook ladder then hangs suspended vertically down the face of the building.
the hook ladder then hangs suspended vertically down the face of the building. the hook letter then hangs suspended vertically down the face of the building. the hook letter then hangs suspended vertically down the face of the building. the hooked ladder then hangs suspended vertically down the face of the building.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hook ladder then hangs suspended vertically down the face of the building', 'the hook ladder then hangs suspended vertically down the face of the building', 'the hook letter then hangs suspended vertically down the face of the building', 'the hook letter then hangs suspended vertically down the face of the building', 'the hooked ladder then hangs suspended vertically down the face of the building']
[ "the township borders the city of perry michigan", "the township borders the city of perry michigan", "the township borders the city of perry michigan", "the township borders the city of perry michigan", "the township boarders the city of perry michigan" ]
the township borders the city of perry michigan
the township borders the city of perry michigan.
the township borders the city of perry michigan. the township borders the city of perry michigan. the township borders the city of perry michigan. the township boarders the city of perry michigan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the township borders the city of perry michigan', 'the township borders the city of perry michigan', 'the township borders the city of perry michigan', 'the township borders the city of perry michigan', 'the township boarders the city of perry michigan']
[ "among his graftees were all star outfielder matt kim and catcher russell martin", "among his graftees were all star outfielder matt kim and catcher russell martin", "among his graftees were all star outfielder matt kim and ketchow russell martin", "among his graftees were all star outfielder matt kim and ketchow russell martin", "among his crafties were all star outfielder matt kim and catcher russell martin" ]
among his draftees were all star outfielder matt kemp and catcher russell martin
among his graftees were all star outfielder matt kim and catcher russell martin.
among his graftees were all star outfielder matt kim and catcher russell martin. among his graftees were all star outfielder matt kim and ketchow russell martin. among his graftees were all star outfielder matt kim and ketchow russell martin. among his crafties were all star outfielder matt kim and catcher russell martin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['among his graftees were all star outfielder matt kim and catcher russell martin', 'among his graftees were all star outfielder matt kim and catcher russell martin', 'among his graftees were all star outfielder matt kim and ketchow russell martin', 'among his graftees were all star outfielder matt kim and ketchow russell martin', 'among his crafties were all star outfielder matt kim and catcher russell martin']
[ "julia kent then an editor at the village voice was the first respondent", "julia kent then an editor at the fillage voice was the first respondent", "julien kent then an editor at the village voice was the first respondent", "julia kent then an editor at the village voice was the first respondent", "julia kent then and editor at the village voice was the first respondent" ]
julia kent then an editor at the village voice was the first respondent
julia kent then an editor at the village voice was the first respondent.
julia kent then an editor at the fillage voice was the first respondent. julien kent then an editor at the village voice was the first respondent. julia kent then an editor at the village voice was the first respondent. julia kent then and editor at the village voice was the first respondent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['julia kent then an editor at the village voice was the first respondent', 'julia kent then an editor at the fillage voice was the first respondent', 'julien kent then an editor at the village voice was the first respondent', 'julia kent then an editor at the village voice was the first respondent', 'julia kent then and editor at the village voice was the first respondent']
[ "multifonics may be notated in score in a variety of ways", "multifonics may be notated in score in a variety of voice", "multifonix may be notated in score in a variety of ways", "multifonix may be notated in score in a variety of voice", "multiphonics may be notated in score in a variety of ways" ]
multiphonics may be notated in score in a variety of ways
multifonics may be notated in score in a variety of ways.
multifonics may be notated in score in a variety of voice. multifonix may be notated in score in a variety of ways. multifonix may be notated in score in a variety of voice. multiphonics may be notated in score in a variety of ways.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['multifonics may be notated in score in a variety of ways', 'multifonics may be notated in score in a variety of voice', 'multifonix may be notated in score in a variety of ways', 'multifonix may be notated in score in a variety of voice', 'multiphonics may be notated in score in a variety of ways']
[ "there were other shorts earlier in frame", "there were other shots earlier in frame", "there were other shorts earlier in the frame", "there were other shots earlier in frame", "there were other shorts earlier in the frame" ]
there were other shots earlier in the frame
there were other shorts earlier in frame.
there were other shots earlier in frame. there were other shorts earlier in the frame. there were other shots earlier in frame. there were other shorts earlier in the frame.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were other shorts earlier in frame', 'there were other shots earlier in frame', 'there were other shorts earlier in the frame', 'there were other shots earlier in frame', 'there were other shorts earlier in the frame']
[ "observation equipment was improved", "observation equipment was improved", "observation equipment was improved", "observation equipment was improved", "observation equipment was improved" ]
observation equipment was improved
observation equipment was improved.
observation equipment was improved. observation equipment was improved. observation equipment was improved. observation equipment was improved.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['observation equipment was improved', 'observation equipment was improved', 'observation equipment was improved', 'observation equipment was improved', 'observation equipment was improved']
[ "the automatic vacuum brake as described represented a considerable technical advance in train braking", "the automatic vacuum brake as described represented a considerable technical advance in train braking", "the automatic vacuum brake as described represented a considerable technical advance in trained braking", "the automatic vacuum break as described represented a considerable technical advance in train braking", "the automatic vacuum brake as described represented a considerable technical advance in trained braking" ]
the automatic vacuum brake as described represented a considerable technical advance in train braking
the automatic vacuum brake as described represented a considerable technical advance in train braking.
the automatic vacuum brake as described represented a considerable technical advance in train braking. the automatic vacuum brake as described represented a considerable technical advance in trained braking. the automatic vacuum break as described represented a considerable technical advance in train braking. the automatic vacuum brake as described represented a considerable technical advance in trained braking.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the automatic vacuum brake as described represented a considerable technical advance in train braking', 'the automatic vacuum brake as described represented a considerable technical advance in train braking', 'the automatic vacuum brake as described represented a considerable technical advance in trained braking', 'the automatic vacuum break as described represented a considerable technical advance in train braking', 'the automatic vacuum brake as described represented a considerable technical advance in trained braking']
[ "this musical innovation represented one of the first experimental exercises in jazz", "this musical innovation represented one of the first experimental exercises in jazz", "this musical innovation represented one of the first experimental exercises and jazz", "just musical innovation represented one of the first experimental exercises in jazz", "this musical innovation represented one of the first experimental exercises in gis" ]
this musical innovation represented one of the first experimental exercises in jazz
this musical innovation represented one of the first experimental exercises in jazz.
this musical innovation represented one of the first experimental exercises in jazz. this musical innovation represented one of the first experimental exercises and jazz. just musical innovation represented one of the first experimental exercises in jazz. this musical innovation represented one of the first experimental exercises in gis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this musical innovation represented one of the first experimental exercises in jazz', 'this musical innovation represented one of the first experimental exercises in jazz', 'this musical innovation represented one of the first experimental exercises and jazz', 'just musical innovation represented one of the first experimental exercises in jazz', 'this musical innovation represented one of the first experimental exercises in gis']
[ "the ethnically diverse area is home to many of the city is artists and activists", "the technically diverse area is home to many of the city is artists and activists", "the ethnically diversed area is home to many of the city is artists and activists", "the ethnically diversed area is home to many of the city is artists and activists", "the technically diverse area is home to many of the city is artists and activists" ]
the ethnically diverse area is home to many of the city is artists and activists
the ethnically diverse area is home to many of the city is artists and activists.
the technically diverse area is home to many of the city is artists and activists. the ethnically diversed area is home to many of the city is artists and activists. the ethnically diversed area is home to many of the city is artists and activists. the technically diverse area is home to many of the city is artists and activists.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ethnically diverse area is home to many of the city is artists and activists', 'the technically diverse area is home to many of the city is artists and activists', 'the ethnically diversed area is home to many of the city is artists and activists', 'the ethnically diversed area is home to many of the city is artists and activists', 'the technically diverse area is home to many of the city is artists and activists']
[ "a more expansion was supposed to be hankered by morgan", "a more expansion was supposed to be handkered by morgan", "a more expansion was supposed to be anchored by morgan", "a more expansion was supposed to be hancock by morgan", "a more expansion was supposed to be hancock by morgan" ]
a mall expansion was supposed to be anchored by morgan
a more expansion was supposed to be hankered by morgan.
a more expansion was supposed to be handkered by morgan. a more expansion was supposed to be anchored by morgan. a more expansion was supposed to be hancock by morgan. a more expansion was supposed to be hancock by morgan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a more expansion was supposed to be hankered by morgan', 'a more expansion was supposed to be handkered by morgan', 'a more expansion was supposed to be anchored by morgan', 'a more expansion was supposed to be hancock by morgan', 'a more expansion was supposed to be hancock by morgan']
[ "he is currently public relations director for r r partners", "he is currently public relations director for r r partners", "he is currently public relations directive for r r partners", "he is currently public relations directive for r r partners", "he is currently public relations director for r r partners" ]
he is currently public relations director for r and r partners
he is currently public relations director for r r partners.
he is currently public relations director for r r partners. he is currently public relations directive for r r partners. he is currently public relations directive for r r partners. he is currently public relations director for r r partners.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is currently public relations director for r r partners', 'he is currently public relations director for r r partners', 'he is currently public relations directive for r r partners', 'he is currently public relations directive for r r partners', 'he is currently public relations director for r r partners']
[ "stonishing x nam motion comic voiced by eileen stevens", "stonishing x nm motion comic voiced by eileen stevens", "stonishing x men motion comic voiced by eileen stevens", "stonishing x nam motion comic voiced by ilene stevens", "astonishing x men motion comic voiced by eileen stevens" ]
shadowcat appears in the astonishing x men motion comic voiced by eileen stevens
stonishing x nam motion comic voiced by eileen stevens.
stonishing x nm motion comic voiced by eileen stevens. stonishing x men motion comic voiced by eileen stevens. stonishing x nam motion comic voiced by ilene stevens. astonishing x men motion comic voiced by eileen stevens.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stonishing x nam motion comic voiced by eileen stevens', 'stonishing x nm motion comic voiced by eileen stevens', 'stonishing x men motion comic voiced by eileen stevens', 'stonishing x nam motion comic voiced by ilene stevens', 'astonishing x men motion comic voiced by eileen stevens']
[ "liga playing home matches at stadion jewish sky in prague", "liga playing home matches at study in jewish sky in prague", "liga playing home matches at studying jewish sky in prague", "liga playing home matches at study and jewish sky in prague", "liga playing home matches at study in jewish sky in prague" ]
liga playing home matches at stadion juliska in prague
liga playing home matches at stadion jewish sky in prague.
liga playing home matches at study in jewish sky in prague. liga playing home matches at studying jewish sky in prague. liga playing home matches at study and jewish sky in prague. liga playing home matches at study in jewish sky in prague.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['liga playing home matches at stadion jewish sky in prague', 'liga playing home matches at study in jewish sky in prague', 'liga playing home matches at studying jewish sky in prague', 'liga playing home matches at study and jewish sky in prague', 'liga playing home matches at study in jewish sky in prague']
[ "sketchpad a man machine graphical communication system", "sketchbair a man machine graphical communication system", "sketchpad a man machine graphical communication system", "sketchpad a man machine graphical communication system", "sketchpad a man machine graphical communication system" ]
sketchpad a man machine graphical communication system
sketchpad a man machine graphical communication system.
sketchbair a man machine graphical communication system. sketchpad a man machine graphical communication system. sketchpad a man machine graphical communication system. sketchpad a man machine graphical communication system.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sketchpad a man machine graphical communication system', 'sketchbair a man machine graphical communication system', 'sketchpad a man machine graphical communication system', 'sketchpad a man machine graphical communication system', 'sketchpad a man machine graphical communication system']
[ "then i do not know how to explain it to you", "then i do not know how to explain it to you", "then but i do not know how to explain it to you", "then i do not know how to explain it to you", "then but i do not know how to explain it to you" ]
then but i do not know how to explain it to you
then i do not know how to explain it to you.
then i do not know how to explain it to you. then but i do not know how to explain it to you. then i do not know how to explain it to you. then but i do not know how to explain it to you.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then i do not know how to explain it to you', 'then i do not know how to explain it to you', 'then but i do not know how to explain it to you', 'then i do not know how to explain it to you', 'then but i do not know how to explain it to you']
[ "along with this he discovered twenty-seven minor planets and one comet", "along with this he discovered twenty-seven minor planets and one comet", "along with this he discovers twenty-seven minor planets and one comet", "along with this he discovers twenty-seven minor planets and one comet", "along with this he discovered twenty-seven minor planets and one comet" ]
along with this he discovered twenty seven minor planets and one comet
along with this he discovered twenty-seven minor planets and one comet.
along with this he discovered twenty-seven minor planets and one comet. along with this he discovers twenty-seven minor planets and one comet. along with this he discovers twenty-seven minor planets and one comet. along with this he discovered twenty-seven minor planets and one comet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['along with this he discovered twenty-seven minor planets and one comet', 'along with this he discovered twenty-seven minor planets and one comet', 'along with this he discovers twenty-seven minor planets and one comet', 'along with this he discovers twenty-seven minor planets and one comet', 'along with this he discovered twenty-seven minor planets and one comet']
[ "the play ends here before the death of agustus is announced", "the play ends here before the death of augustus is announced", "the play ends here before the death of aegistus is announced", "the play ends here before the death of augustus is announced", "the play ends here before the death of agistus is announced" ]
the play ends here before the death of aegisthus is announced
the play ends here before the death of agustus is announced.
the play ends here before the death of augustus is announced. the play ends here before the death of aegistus is announced. the play ends here before the death of augustus is announced. the play ends here before the death of agistus is announced.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the play ends here before the death of agustus is announced', 'the play ends here before the death of augustus is announced', 'the play ends here before the death of aegistus is announced', 'the play ends here before the death of augustus is announced', 'the play ends here before the death of agistus is announced']
[ "the title was taken from a catchphrase used in the television show", "the title was taken from a catch phrase used in the television show", "the title is taken from a catchphrase used in the television show", "the title is taken from a catchphrase used in the television show", "the title was taken from a catch phrase used in the television show" ]
the title was taken from a catchphrase used in the television show
the title was taken from a catchphrase used in the television show.
the title was taken from a catch phrase used in the television show. the title is taken from a catchphrase used in the television show. the title is taken from a catchphrase used in the television show. the title was taken from a catch phrase used in the television show.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the title was taken from a catchphrase used in the television show', 'the title was taken from a catch phrase used in the television show', 'the title is taken from a catchphrase used in the television show', 'the title is taken from a catchphrase used in the television show', 'the title was taken from a catch phrase used in the television show']
[ "gratinless loyalty to the crown and the british connection", "gratin was loyal to the crown and the british connection", "gratin was loyal to the crown and the british connection", "gratinless loyalty the crown and the british connection", "gratin was loyal to the crown and the british connection" ]
grattan was loyal to the crown and the british connection
gratinless loyalty to the crown and the british connection.
gratin was loyal to the crown and the british connection. gratin was loyal to the crown and the british connection. gratinless loyalty the crown and the british connection. gratin was loyal to the crown and the british connection.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gratinless loyalty to the crown and the british connection', 'gratin was loyal to the crown and the british connection', 'gratin was loyal to the crown and the british connection', 'gratinless loyalty the crown and the british connection', 'gratin was loyal to the crown and the british connection']
[ "tyoplasin is sigma is national flame trophy is the i have a dream foundation", "tire applicants sigma is national planed trophy is the i have a dream foundation", "tyoplasin is sigma is national flame trophy is the i have a dream foundation", "tyoplasin is sigma is national flame trophy is that i have a dream foundation", "tire applicants sigma is national flame trophy is the i have a dream foundation" ]
chi upsilon sigma is national philanthropy is the i have a dream foundation
tyoplasin is sigma is national flame trophy is the i have a dream foundation.
tire applicants sigma is national planed trophy is the i have a dream foundation. tyoplasin is sigma is national flame trophy is the i have a dream foundation. tyoplasin is sigma is national flame trophy is that i have a dream foundation. tire applicants sigma is national flame trophy is the i have a dream foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tyoplasin is sigma is national flame trophy is the i have a dream foundation', 'tire applicants sigma is national planed trophy is the i have a dream foundation', 'tyoplasin is sigma is national flame trophy is the i have a dream foundation', 'tyoplasin is sigma is national flame trophy is that i have a dream foundation', 'tire applicants sigma is national flame trophy is the i have a dream foundation']
[ "as regards described species it is monotypic", "as regards described species it is monotypic", "as regards described species it is monotypic", "as regards described species it is monotypic", "as regards described species it is monotypic" ]
as regards described species it is monotypic
as regards described species it is monotypic.
as regards described species it is monotypic. as regards described species it is monotypic. as regards described species it is monotypic. as regards described species it is monotypic.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as regards described species it is monotypic', 'as regards described species it is monotypic', 'as regards described species it is monotypic', 'as regards described species it is monotypic', 'as regards described species it is monotypic']
[ "street clean received positive reviews and post held as creative masterpiece", "street cleaner received positive reviews and post held as creative masterpiece", "street cleaner received positive reviews and post held as creative masterpiece", "street cleaner received positive reviews and post held as creative masterpiece", "street cleaner received positive reviews and was held as creative masterpiece" ]
streetcleaner received positive reviews and was hailed as a creative masterpiece
street clean received positive reviews and post held as creative masterpiece.
street cleaner received positive reviews and post held as creative masterpiece. street cleaner received positive reviews and post held as creative masterpiece. street cleaner received positive reviews and post held as creative masterpiece. street cleaner received positive reviews and was held as creative masterpiece.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['street clean received positive reviews and post held as creative masterpiece', 'street cleaner received positive reviews and post held as creative masterpiece', 'street cleaner received positive reviews and post held as creative masterpiece', 'street cleaner received positive reviews and post held as creative masterpiece', 'street cleaner received positive reviews and was held as creative masterpiece']
[ "note that the show all button is helpful for expanding ellipses in commands", "note that the show all button is helpful for expanding ellipses in commands", "note that the showall button is helpful for expanding ellipses in commands", "note that the show all button is helpful for expanding ellipses in commands", "note that the show all button is helpful for expanding ellipsis in commands" ]
note that the show all button is helpful for expanding ellipses in commands
note that the show all button is helpful for expanding ellipses in commands.
note that the show all button is helpful for expanding ellipses in commands. note that the showall button is helpful for expanding ellipses in commands. note that the show all button is helpful for expanding ellipses in commands. note that the show all button is helpful for expanding ellipsis in commands.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['note that the show all button is helpful for expanding ellipses in commands', 'note that the show all button is helpful for expanding ellipses in commands', 'note that the showall button is helpful for expanding ellipses in commands', 'note that the show all button is helpful for expanding ellipses in commands', 'note that the show all button is helpful for expanding ellipsis in commands']
[ "archaeological sites reveal that ancient humans lived in the area", "archaeological sites reveal that ancient humans lived in the area", "archaeological sites reveal that ancient humans lived in the area", "archaeological sites reveal that ancient humans lived in the area", "archaeological sites reveal that ancient humans lived in the area" ]
archaeological sites reveal that ancient humans lived in the area
archaeological sites reveal that ancient humans lived in the area.
archaeological sites reveal that ancient humans lived in the area. archaeological sites reveal that ancient humans lived in the area. archaeological sites reveal that ancient humans lived in the area. archaeological sites reveal that ancient humans lived in the area.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['archaeological sites reveal that ancient humans lived in the area', 'archaeological sites reveal that ancient humans lived in the area', 'archaeological sites reveal that ancient humans lived in the area', 'archaeological sites reveal that ancient humans lived in the area', 'archaeological sites reveal that ancient humans lived in the area']