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[ "she will unlock the interconnecting door", "she will unlock the interconnecting door", "she will unlock the interconnecting door", "she will unlock the interconnecting door", "she will unlock the interconnecting door" ]
she will unlock the door
she will unlock the interconnecting door.
she will unlock the interconnecting door. she will unlock the interconnecting door. she will unlock the interconnecting door. she will unlock the interconnecting door.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she will unlock the interconnecting door', 'she will unlock the interconnecting door', 'she will unlock the interconnecting door', 'she will unlock the interconnecting door', 'she will unlock the interconnecti...
[ "if you look at that", "as if you look at that", "is if you look at that", "if you look at that", "is if you look at that" ]
if you look at that
if you look at that.
as if you look at that. is if you look at that. if you look at that. is if you look at that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if you look at that', 'as if you look at that', 'is if you look at that', 'if you look at that', 'is if you look at that']
[ "you have also got .", "you have also got", "you have also got", "you have also got", "you have also got" ]
you have also got
you have also got ..
you have also got. you have also got. you have also got. you have also got.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you have also got .', 'you have also got', 'you have also got', 'you have also got', 'you have also got']
[ "if you are one of his followers", "if you are one of his followers", "if you are one of his followers he", "if you are one of his followers he", "if you are one of his followers he" ]
if you were one of his followers
if you are one of his followers.
if you are one of his followers. if you are one of his followers he. if you are one of his followers he. if you are one of his followers he.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if you are one of his followers', 'if you are one of his followers', 'if you are one of his followers he', 'if you are one of his followers he', 'if you are one of his followers he']
[ "it is one of horse riding is lesser known competition events", "it is one of horse riding is lesser known competition events", "it is one of horse riding is lesser known competition events", "it is one of horse riding is lesser known competition events", "it is one of horse riding is lesser known competiti...
it is one of horse riding is lesser known competition events
it is one of horse riding is lesser known competition events.
it is one of horse riding is lesser known competition events. it is one of horse riding is lesser known competition events. it is one of horse riding is lesser known competition events. it is one of horse riding is lesser known competition events.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is one of horse riding is lesser known competition events', 'it is one of horse riding is lesser known competition events', 'it is one of horse riding is lesser known competition events', 'it is one of hors...
[ "because he is so young", "because he is so young", "because he is so young he is", "because he is so young", "because he is so young" ]
because he is so young
because he is so young.
because he is so young. because he is so young he is. because he is so young. because he is so young.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because he is so young', 'because he is so young', 'because he is so young he is', 'because he is so young', 'because he is so young']
[ "charlotte is made ninety grand from webcoming alone in the past two years", "charlotte is made ninety grand from web coming alone in the past two years", "charlottes made ninety grand from webcoming alone in the past two years", "charlottes made ninety grand from web coming alone in the past two years", "c...
charlotte is made ninety grand from webcamming alone in the past two years
charlotte is made ninety grand from webcoming alone in the past two years.
charlotte is made ninety grand from web coming alone in the past two years. charlottes made ninety grand from webcoming alone in the past two years. charlottes made ninety grand from web coming alone in the past two years. charlotte is made ninety grand from webcoming alone in the past two years with.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['charlotte is made ninety grand from webcoming alone in the past two years', 'charlotte is made ninety grand from web coming alone in the past two years', 'charlottes made ninety grand from webcoming alone in t...
[ "as always is it going to be enough to find them exactly what they are looking for", "as always is it going to be enough to find them exactly what they are looking for", "as always is it going to be enough to find them exactly what they are looking for", "there is always is it going to be enough to find them ...
is it going to be enough to find exactly what they are looking for
as always is it going to be enough to find them exactly what they are looking for.
as always is it going to be enough to find them exactly what they are looking for. as always is it going to be enough to find them exactly what they are looking for. there is always is it going to be enough to find them exactly what they are looking for. as always is it going to be enough to find them exactly what they...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as always is it going to be enough to find them exactly what they are looking for', 'as always is it going to be enough to find them exactly what they are looking for', 'as always is it going to be enough to f...
[ "that is something that people often ask about", "about that is something that people often ask about", "but that is something that people often ask about", "about that is something that people often ask about", "that is something people often ask about" ]
that is something that people often ask about
that is something that people often ask about.
about that is something that people often ask about. but that is something that people often ask about. about that is something that people often ask about. that is something people often ask about.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is something that people often ask about', 'about that is something that people often ask about', 'but that is something that people often ask about', 'about that is something that people often ask about'...
[ "make sure they are just in the right position", "make sure they are just in the right position", "make sure that just in the right position", "make sure that just in the right position", "make sure they are just in the right position" ]
make sure they are just in the right position
make sure they are just in the right position.
make sure they are just in the right position. make sure that just in the right position. make sure that just in the right position. make sure they are just in the right position.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['make sure they are just in the right position', 'make sure they are just in the right position', 'make sure that just in the right position', 'make sure that just in the right position', 'make sure they are ju...
[ "that is not just him outing his lungs", "that is not just him outing his lungs", "that is not just him acting as lungs", "that is not just him acting as lungs", "that is not just him opening his lungs" ]
that is not just him emptying his lungs
that is not just him outing his lungs.
that is not just him outing his lungs. that is not just him acting as lungs. that is not just him acting as lungs. that is not just him opening his lungs.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is not just him outing his lungs', 'that is not just him outing his lungs', 'that is not just him acting as lungs', 'that is not just him acting as lungs', 'that is not just him opening his lungs']
[ "when i saw these in the lines outside", "when i saw these in the lines outside", "so when i saw these in the lines outside", "when i saw these in the lines outside", "when i saw these in the lines outside" ]
when i saw these in the lines outside
when i saw these in the lines outside.
when i saw these in the lines outside. so when i saw these in the lines outside. when i saw these in the lines outside. when i saw these in the lines outside.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when i saw these in the lines outside', 'when i saw these in the lines outside', 'so when i saw these in the lines outside', 'when i saw these in the lines outside', 'when i saw these in the lines outside']
[ "thank you all very much for watching", "and thank you all very much for watching", "thank you all very much for watching", "and thank you all very much for watching", "thank you all very much for watching" ]
thank you all very much for watching
thank you all very much for watching.
and thank you all very much for watching. thank you all very much for watching. and thank you all very much for watching. thank you all very much for watching.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thank you all very much for watching', 'and thank you all very much for watching', 'thank you all very much for watching', 'and thank you all very much for watching', 'thank you all very much for watching']
[ "your votes at home may have changed all of that", "of your votes at home may have changed all of that", "or your votes at home may have changed all of that", "are your votes at home may have changed all of that", "are your votes at home may have changed all of that" ]
your votes at home may have changed all of that
your votes at home may have changed all of that.
of your votes at home may have changed all of that. or your votes at home may have changed all of that. are your votes at home may have changed all of that. are your votes at home may have changed all of that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['your votes at home may have changed all of that', 'of your votes at home may have changed all of that', 'or your votes at home may have changed all of that', 'are your votes at home may have changed all of tha...
[ "and i am from barnett", "and i am from barnett", "and i am from barnet", "and i am from barnett and", "and i am from barnett in the" ]
and i am from barnet
and i am from barnett.
and i am from barnett. and i am from barnet. and i am from barnett and. and i am from barnett in the.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and i am from barnett', 'and i am from barnett', 'and i am from barnet', 'and i am from barnett and', 'and i am from barnett in the']
[ "immigration running at sensible levels", "immigration running at sensible levels", "immigration running at sensible levels", "immigration running at sensible levels", "immigration running at sensible levels" ]
immigration running at sensible levels
immigration running at sensible levels.
immigration running at sensible levels. immigration running at sensible levels. immigration running at sensible levels. immigration running at sensible levels.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['immigration running at sensible levels', 'immigration running at sensible levels', 'immigration running at sensible levels', 'immigration running at sensible levels', 'immigration running at sensible levels']
[ "obviously for in a big budget film", "obviously in a big budget film", "obviously for a in a big budget film", "obviously in a big budget film", "obviously for in a big budget film" ]
obviously in a big budget film
obviously for in a big budget film.
obviously in a big budget film. obviously for a in a big budget film. obviously in a big budget film. obviously for in a big budget film.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['obviously for in a big budget film', 'obviously in a big budget film', 'obviously for a in a big budget film', 'obviously in a big budget film', 'obviously for in a big budget film']
[ "back in nineteenth century basing stoke", "back in nineteenth century basing stoke", "back in nineteenth century basingstoke", "back in nineteenth century bazing stoke", "back in nineteenth century beijing stoke" ]
back in nineteenth century basingstoke
back in nineteenth century basing stoke.
back in nineteenth century basing stoke. back in nineteenth century basingstoke. back in nineteenth century bazing stoke. back in nineteenth century beijing stoke.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['back in nineteenth century basing stoke', 'back in nineteenth century basing stoke', 'back in nineteenth century basingstoke', 'back in nineteenth century bazing stoke', 'back in nineteenth century beijing sto...
[ "which is an alloy of copper and tin", "which is an ally of copper and tin", "which is an ally of copper and tin", "which is an ally of copper and tin", "which is an ally of copper and tin" ]
which is an alloy of copper and tin
which is an alloy of copper and tin.
which is an ally of copper and tin. which is an ally of copper and tin. which is an ally of copper and tin. which is an ally of copper and tin.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['which is an alloy of copper and tin', 'which is an ally of copper and tin', 'which is an ally of copper and tin', 'which is an ally of copper and tin', 'which is an ally of copper and tin']
[ "because that is what the arctic is all about", "because that is what the arctic is all about", "because that is what the arctic is all about", "because that is what the arctic is all about here", "it because that is what the arctic is all about" ]
because that is what the arctic is all about
because that is what the arctic is all about.
because that is what the arctic is all about. because that is what the arctic is all about. because that is what the arctic is all about here. it because that is what the arctic is all about.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because that is what the arctic is all about', 'because that is what the arctic is all about', 'because that is what the arctic is all about', 'because that is what the arctic is all about here', 'it because t...
[ "are really nice minimalized", "are really nice minimalist", "are really nice minimalist", "are really nice minimalized", "a really nice minimalist" ]
really nice minimalist
are really nice minimalized.
are really nice minimalist. are really nice minimalist. are really nice minimalized. a really nice minimalist.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['are really nice minimalized', 'are really nice minimalist', 'are really nice minimalist', 'are really nice minimalized', 'a really nice minimalist']
[ "but we will do an idea all the time", "but we will do and i do all the time", "but we will do an idea all the time", "but we will do and i do all the time", "but we all do and i do all the time" ]
but we all do and i do all the time
but we will do an idea all the time.
but we will do and i do all the time. but we will do an idea all the time. but we will do and i do all the time. but we all do and i do all the time.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but we will do an idea all the time', 'but we will do and i do all the time', 'but we will do an idea all the time', 'but we will do and i do all the time', 'but we all do and i do all the time']
[ "we invite on the beach as well", "we invite on the beach as well", "we invite on the beaches", "we invite on the beaches with", "with vides on the beaches" ]
we would fight on the beaches
we invite on the beach as well.
we invite on the beach as well. we invite on the beaches. we invite on the beaches with. with vides on the beaches.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we invite on the beach as well', 'we invite on the beach as well', 'we invite on the beaches', 'we invite on the beaches with', 'with vides on the beaches']
[ "no we have not decided", "we have not decided", "no we have not decided", "no we have not decided", "we have not decided" ]
we have not decided
no we have not decided.
we have not decided. no we have not decided. no we have not decided. we have not decided.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no we have not decided', 'we have not decided', 'no we have not decided', 'no we have not decided', 'we have not decided']
[ "the captain of the plane has been injured", "that the captain of the plane has been injured", "the captain of the plane has been injured", "and the captain of the plane has been injured", "in the captain of the plane has been injured" ]
the captain of the plane has been injured
the captain of the plane has been injured.
that the captain of the plane has been injured. the captain of the plane has been injured. and the captain of the plane has been injured. in the captain of the plane has been injured.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the captain of the plane has been injured', 'that the captain of the plane has been injured', 'the captain of the plane has been injured', 'and the captain of the plane has been injured', 'in the captain of th...
[ "all hell broke loose", "all hell broke loose", "or hell broke loose", "all hell broke loose", "log all hell broke loose" ]
all hell broke loose
all hell broke loose.
all hell broke loose. or hell broke loose. all hell broke loose. log all hell broke loose.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all hell broke loose', 'all hell broke loose', 'or hell broke loose', 'all hell broke loose', 'log all hell broke loose']
[ "let us remind ourselves what the red team bought", "let us remind ourselves what the red team brought", "let us remind ourselves what the red team brought", "let us remind ourselves what the red team bought", "let us remind ourselves of what the red team bought" ]
let us remind ourselves what the red team bought
let us remind ourselves what the red team bought.
let us remind ourselves what the red team brought. let us remind ourselves what the red team brought. let us remind ourselves what the red team bought. let us remind ourselves of what the red team bought.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us remind ourselves what the red team bought', 'let us remind ourselves what the red team brought', 'let us remind ourselves what the red team brought', 'let us remind ourselves what the red team bought', ...
[ "and if it comes from nearby", "and if it comes from nearby", "and if it comes from nearby .", "and if it comes from nearby", "and if it comes from nearby" ]
and if it comes from nearby
and if it comes from nearby.
and if it comes from nearby. and if it comes from nearby .. and if it comes from nearby. and if it comes from nearby.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and if it comes from nearby', 'and if it comes from nearby', 'and if it comes from nearby .', 'and if it comes from nearby', 'and if it comes from nearby']
[ "or perhaps they get remarried to somebody else", "or perhaps they get remarried to somebody else", "or perhaps they get remarried to somebody else", "or perhaps they get remarried to somebody else", "or perhaps they get remarried to somebody else" ]
or perhaps they marry someone else
or perhaps they get remarried to somebody else.
or perhaps they get remarried to somebody else. or perhaps they get remarried to somebody else. or perhaps they get remarried to somebody else. or perhaps they get remarried to somebody else.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['or perhaps they get remarried to somebody else', 'or perhaps they get remarried to somebody else', 'or perhaps they get remarried to somebody else', 'or perhaps they get remarried to somebody else', 'or perhap...
[ "i do not want to be a resident", "i do want to be a resident", "i want to be a resident", "want to be a resident", "to be a resident" ]
i do not want to be a resident
i do not want to be a resident.
i do want to be a resident. i want to be a resident. want to be a resident. to be a resident.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i do not want to be a resident', 'i do want to be a resident', 'i want to be a resident', 'want to be a resident', 'to be a resident']
[ "i always have to take my time on these", "i always have to take my time on these because", "i always have to take my time on these", "i always have to take my time on these", "i always have to take my time on these" ]
i always have to take my time on these
i always have to take my time on these.
i always have to take my time on these because. i always have to take my time on these. i always have to take my time on these. i always have to take my time on these.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i always have to take my time on these', 'i always have to take my time on these because', 'i always have to take my time on these', 'i always have to take my time on these', 'i always have to take my time on ...
[ "and we got this shared", "and we have got this shared", "and we have got this shared with you", "and we got this shared with you", "and we got this shared with you" ]
and we have got this shed
and we got this shared.
and we have got this shared. and we have got this shared with you. and we got this shared with you. and we got this shared with you.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and we got this shared', 'and we have got this shared', 'and we have got this shared with you', 'and we got this shared with you', 'and we got this shared with you']
[ "maybe that would be it", "maybe that would be .", "maybe that would be it", "maybe that would be you", "maybe that would be ." ]
maybe there would be
maybe that would be it.
maybe that would be .. maybe that would be it. maybe that would be you. maybe that would be ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['maybe that would be it', 'maybe that would be .', 'maybe that would be it', 'maybe that would be you', 'maybe that would be .']
[ "it is the best job", "it is the best job", "it is the best job", "it is the best job", "that is the best job" ]
it is the best job
it is the best job.
it is the best job. it is the best job. it is the best job. that is the best job.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the best job', 'it is the best job', 'it is the best job', 'it is the best job', 'that is the best job']
[ "their plenty of properties to choose from", "there are plenty of properties to choose from", "there are plenty of properties to choose from", "there plenty of properties to choose from", "they are plenty of properties to choose from" ]
there are plenty of properties to choose from
their plenty of properties to choose from.
there are plenty of properties to choose from. there are plenty of properties to choose from. there plenty of properties to choose from. they are plenty of properties to choose from.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their plenty of properties to choose from', 'there are plenty of properties to choose from', 'there are plenty of properties to choose from', 'there plenty of properties to choose from', 'they are plenty of pr...
[ "people were pulled", "people were pulled", "people were pulled like", "people were pulled like", "that people were pulled" ]
people were appalled
people were pulled.
people were pulled. people were pulled like. people were pulled like. that people were pulled.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['people were pulled', 'people were pulled', 'people were pulled like', 'people were pulled like', 'that people were pulled']
[ "we would better smartly find out what the blue team bought", "we would better smartly find out what the blue team bought", "we would better smartly find out what the blue team brought", "we would better smartly find out what the blue team bought", "we would better smartly find out what the blue team brough...
we would better smartly find out what the blue team bought
we would better smartly find out what the blue team bought.
we would better smartly find out what the blue team bought. we would better smartly find out what the blue team brought. we would better smartly find out what the blue team bought. we would better smartly find out what the blue team brought.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we would better smartly find out what the blue team bought', 'we would better smartly find out what the blue team bought', 'we would better smartly find out what the blue team brought', 'we would better smartl...
[ "as everything has become more corporate", "everything has become more corporate", "as everything has become more corporate", "has become more corporate", "as everything has become more corporate" ]
as everything has become more corporate
as everything has become more corporate.
everything has become more corporate. as everything has become more corporate. has become more corporate. as everything has become more corporate.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as everything has become more corporate', 'everything has become more corporate', 'as everything has become more corporate', 'has become more corporate', 'as everything has become more corporate']
[ "and market days every monday", "and market days every monday", "and marketers every monday", "and mark it as every monday", "and mark it as every monday" ]
and market day is every monday
and market days every monday.
and market days every monday. and marketers every monday. and mark it as every monday. and mark it as every monday.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and market days every monday', 'and market days every monday', 'and marketers every monday', 'and mark it as every monday', 'and mark it as every monday']
[ "so it is time for us to take off to auction for the first time", "so it is time for us to take off to auction for the first time", "so it is time for us to take off to auction for the first time", "so it is time for us to take off to auction for the first time and", "so it is time for us to take off to auc...
so it is time for us to take off to auction for the first time
so it is time for us to take off to auction for the first time.
so it is time for us to take off to auction for the first time. so it is time for us to take off to auction for the first time. so it is time for us to take off to auction for the first time and. so it is time for us to take off to auction for the first time and.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is time for us to take off to auction for the first time', 'so it is time for us to take off to auction for the first time', 'so it is time for us to take off to auction for the first time', 'so it is ti...
[ "whether it is the stiff upper lip films or eagles day", "whether it is the stiff upper lip films or eagles day", "whether it is the stiff upper lip films or eagle is day", "whether it is the stiff upper lip films or eagle is day", "whether it is the stiff upper lip films or eagle is day" ]
whether it is the stiff upper lip films or where eagles dare
whether it is the stiff upper lip films or eagles day.
whether it is the stiff upper lip films or eagles day. whether it is the stiff upper lip films or eagle is day. whether it is the stiff upper lip films or eagle is day. whether it is the stiff upper lip films or eagle is day.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['whether it is the stiff upper lip films or eagles day', 'whether it is the stiff upper lip films or eagles day', 'whether it is the stiff upper lip films or eagle is day', 'whether it is the stiff upper lip fi...
[ "but at that price", "but of that price", "of that price", "but at that price", "but at that price" ]
but at that price
but at that price.
but of that price. of that price. but at that price. but at that price.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but at that price', 'but of that price', 'of that price', 'but at that price', 'but at that price']
[ "do you want me or not", "do you want me or not", "do you want me or not you", "do you want me or not", "do you want me or not" ]
do you want me or not
do you want me or not.
do you want me or not. do you want me or not you. do you want me or not. do you want me or not.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do you want me or not', 'do you want me or not', 'do you want me or not you', 'do you want me or not', 'do you want me or not']
[ "as i have been through history", "because they have been through history", "because i have been through history", "has been through history", "i have been through history" ]
as they have been through history
as i have been through history.
because they have been through history. because i have been through history. has been through history. i have been through history.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as i have been through history', 'because they have been through history', 'because i have been through history', 'has been through history', 'i have been through history']
[ "an old part it is in a terrible state", "a no partner is in a terrible state", "i know partridge is in a terrible state", "i know part you are just in a terrible state", "i know partridge is in a terrible state" ]
partridge is in a real state
an old part it is in a terrible state.
a no partner is in a terrible state. i know partridge is in a terrible state. i know part you are just in a terrible state. i know partridge is in a terrible state.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an old part it is in a terrible state', 'a no partner is in a terrible state', 'i know partridge is in a terrible state', 'i know part you are just in a terrible state', 'i know partridge is in a terrible stat...
[ "but right now why do not we check out for the viewers at home what the auctioneer thinks about", "but right now why do not we check out for the viewers at home what the auctioneer thinks about", "but right now why do not we check out for the views at home what the auctioneer thinks about", "but right now why...
but right now why do not we check out for the viewers at home what the auctioneer thinks about
but right now why do not we check out for the viewers at home what the auctioneer thinks about.
but right now why do not we check out for the viewers at home what the auctioneer thinks about. but right now why do not we check out for the views at home what the auctioneer thinks about. but right now why do not we check out for the viewers at home what the auctioneer thinks about .. but right now why do not we chec...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but right now why do not we check out for the viewers at home what the auctioneer thinks about', 'but right now why do not we check out for the viewers at home what the auctioneer thinks about', 'but right now...
[ "she is moving again and", "she is moving again", "she is moving again and", "she is moving again and", "that she is moving again" ]
she is moving again
she is moving again and.
she is moving again. she is moving again and. she is moving again and. that she is moving again.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is moving again and', 'she is moving again', 'she is moving again and', 'she is moving again and', 'that she is moving again']
[ "so it is kind of the nearest for him in terms of commute", "so it is kind of the nearest for him in terms of commute", "so it is kind of the nearest for him in terms of commutes", "so it is kind of the nearest for him in terms of commute", "so it is kind of the nearest for him in terms of commutes" ]
so the nearest for him in terms of commute
so it is kind of the nearest for him in terms of commute.
so it is kind of the nearest for him in terms of commute. so it is kind of the nearest for him in terms of commutes. so it is kind of the nearest for him in terms of commute. so it is kind of the nearest for him in terms of commutes.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is kind of the nearest for him in terms of commute', 'so it is kind of the nearest for him in terms of commute', 'so it is kind of the nearest for him in terms of commutes', 'so it is kind of the nearest...
[ "it is a one month nazi submarine", "it is a one man nazi submarine", "it is a one month nazi submarine", "it is a one man nazi submarine", "it is a one man nazi submarine" ]
it is a one man nazi submarine
it is a one month nazi submarine.
it is a one man nazi submarine. it is a one month nazi submarine. it is a one man nazi submarine. it is a one man nazi submarine.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a one month nazi submarine', 'it is a one man nazi submarine', 'it is a one month nazi submarine', 'it is a one man nazi submarine', 'it is a one man nazi submarine']
[ "with the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops", "where the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops", "with the most promising eighteen to twenty-five year olds are recruited and trained to...
where the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops
with the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops.
where the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops. with the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops. with the most promising eighteen twenty-five year olds are recruited and trained to deliver the wor...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with the most promising eighteen to twenty-five year olds are recruited and trained to deliver the workshops', 'where the most promising eighteen to twenty-five year olds are recruited and trained to deliver t...
[ "i just find it really really .", "i just find it really really", "i just find it really really", "i just find it really really", "i just find it really weird" ]
i just find it really
i just find it really really ..
i just find it really really. i just find it really really. i just find it really really. i just find it really weird.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i just find it really really .', 'i just find it really really', 'i just find it really really', 'i just find it really really', 'i just find it really weird']
[ "happy to do that", "happy to do that", "happy to do that", "happy to do that", "i am happy to do that" ]
happy to do that
happy to do that.
happy to do that. happy to do that. happy to do that. i am happy to do that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['happy to do that', 'happy to do that', 'happy to do that', 'happy to do that', 'i am happy to do that']
[ "that is what the bank of england boss said today", "that is what the bank of england boss said today", "that is what the bank of england boss said today", "so that is what the bank of england boss said today", "and that is what the bank of england boss said today" ]
that is what the bank of england boss said today
that is what the bank of england boss said today.
that is what the bank of england boss said today. that is what the bank of england boss said today. so that is what the bank of england boss said today. and that is what the bank of england boss said today.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is what the bank of england boss said today', 'that is what the bank of england boss said today', 'that is what the bank of england boss said today', 'so that is what the bank of england boss said today',...
[ "it could you sort of go along with it", "it could you sort of go along with it", "could you sort of go along with it", "could you sort of go along with it", "it could you sort of go along with it" ]
could you just go along with it
it could you sort of go along with it.
it could you sort of go along with it. could you sort of go along with it. could you sort of go along with it. it could you sort of go along with it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it could you sort of go along with it', 'it could you sort of go along with it', 'could you sort of go along with it', 'could you sort of go along with it', 'it could you sort of go along with it']
[ "my venue was it was essentially a cupboard with a curtain up", "my venue was it was essentially a cupboard with a curtain up", "my venue was it was essentially a cupboard with a curtain up", "my venue was it was essentially a cupboard with a curtain up it", "of my venue was it was essentially a cupboard wi...
my venue was essentially a cupboard with a curtain up
my venue was it was essentially a cupboard with a curtain up.
my venue was it was essentially a cupboard with a curtain up. my venue was it was essentially a cupboard with a curtain up. my venue was it was essentially a cupboard with a curtain up it. of my venue was it was essentially a cupboard with a curtain up.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my venue was it was essentially a cupboard with a curtain up', 'my venue was it was essentially a cupboard with a curtain up', 'my venue was it was essentially a cupboard with a curtain up', 'my venue was it w...
[ "and you have got an example right down here", "and you have got an example right down here", "and you have got an example right down his", "and you have got an example right down his", "and you have got an example right down here" ]
and you have got an example right down here
and you have got an example right down here.
and you have got an example right down here. and you have got an example right down his. and you have got an example right down his. and you have got an example right down here.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and you have got an example right down here', 'and you have got an example right down here', 'and you have got an example right down his', 'and you have got an example right down his', 'and you have got an exa...
[ "the more rewarding the treasure is", "the more rewarding the treasure is", "but the more rewarding the treasure is", "but the more rewarding the treasure is", "but the more rewarding the treasure is" ]
the more rewarding the treasure is
the more rewarding the treasure is.
the more rewarding the treasure is. but the more rewarding the treasure is. but the more rewarding the treasure is. but the more rewarding the treasure is.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the more rewarding the treasure is', 'the more rewarding the treasure is', 'but the more rewarding the treasure is', 'but the more rewarding the treasure is', 'but the more rewarding the treasure is']
[ "we also keep beef cattle", "we also keep beef cattle", "we also keep beef cattle so", "we also keep beef cattle so", "we also keep beef cattle still" ]
we also keep beef cattle
we also keep beef cattle.
we also keep beef cattle. we also keep beef cattle so. we also keep beef cattle so. we also keep beef cattle still.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we also keep beef cattle', 'we also keep beef cattle', 'we also keep beef cattle so', 'we also keep beef cattle so', 'we also keep beef cattle still']
[ "we notice that it is one of the more technical bits of", "or that we notice that it is one of the more technical bits of", "we noticed that it is one of the more technical bits of", "or that we notice that it is one of the more technical bits of", "that we notice that it is one of the more technical bits o...
although we notice that it is one of the more technical bits
we notice that it is one of the more technical bits of.
or that we notice that it is one of the more technical bits of. we noticed that it is one of the more technical bits of. or that we notice that it is one of the more technical bits of. that we notice that it is one of the more technical bits of.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we notice that it is one of the more technical bits of', 'or that we notice that it is one of the more technical bits of', 'we noticed that it is one of the more technical bits of', 'or that we notice that it ...
[ "two hundred degrees celsius", "two hundred degree celsius", "two hundred degrees celsius", "two hundred degrees celsius", "two hundred degrees celsius" ]
two hundred degrees celsius
two hundred degrees celsius.
two hundred degree celsius. two hundred degrees celsius. two hundred degrees celsius. two hundred degrees celsius.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two hundred degrees celsius', 'two hundred degree celsius', 'two hundred degrees celsius', 'two hundred degrees celsius', 'two hundred degrees celsius']
[ "and to be at a great country high like katsworth", "and to be at a great country ice like katsworth", "and to be at a great country high like katsworth", "and to be at a great country high like catsworth", "and to be at a great country ice like katsworth" ]
and to be at a great country house like chatsworth
and to be at a great country high like katsworth.
and to be at a great country ice like katsworth. and to be at a great country high like katsworth. and to be at a great country high like catsworth. and to be at a great country ice like katsworth.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and to be at a great country high like katsworth', 'and to be at a great country ice like katsworth', 'and to be at a great country high like katsworth', 'and to be at a great country high like catsworth', 'an...
[ "you probably have as well", "you probably have as well", "you probably have us", "you probably have a .", "he probably have his ." ]
you probably have
you probably have as well.
you probably have as well. you probably have us. you probably have a .. he probably have his ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you probably have as well', 'you probably have as well', 'you probably have us', 'you probably have a .', 'he probably have his .']
[ "you could get the things the six of them wind up", "you could get the things the six of them lined up", "you could get the things the sixth up and wind up", "you could get the things the six even wind up", "you could get the things the six of them wind up" ]
you could get the six of them lined up
you could get the things the six of them wind up.
you could get the things the six of them lined up. you could get the things the sixth up and wind up. you could get the things the six even wind up. you could get the things the six of them wind up.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you could get the things the six of them wind up', 'you could get the things the six of them lined up', 'you could get the things the sixth up and wind up', 'you could get the things the six even wind up', 'yo...
[ "because she could sort of beetle around the house of commons", "because she could sort of beetle around the house of commons", "because she could sort of beat her around the house of commons", "because she could sort of beetle around the house of commons", "because she could beat her around the house of co...
because she could beaten around the house of commons
because she could sort of beetle around the house of commons.
because she could sort of beetle around the house of commons. because she could sort of beat her around the house of commons. because she could sort of beetle around the house of commons. because she could beat her around the house of commons.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because she could sort of beetle around the house of commons', 'because she could sort of beetle around the house of commons', 'because she could sort of beat her around the house of commons', 'because she cou...
[ "unfortunately for him", "unfortunately for him", "unfortunately for him", "unfortunately for him", "unfortunately for him" ]
unfortunately for him
unfortunately for him.
unfortunately for him. unfortunately for him. unfortunately for him. unfortunately for him.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unfortunately for him', 'unfortunately for him', 'unfortunately for him', 'unfortunately for him', 'unfortunately for him']
[ "i thought it fizzled out", "i i thought it fizzled out", "i thought it fizzled out", "i thought it fizzled out is it", "so i thought it fizzled out" ]
i thought it fizzled out
i thought it fizzled out.
i i thought it fizzled out. i thought it fizzled out. i thought it fizzled out is it. so i thought it fizzled out.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i thought it fizzled out', 'i i thought it fizzled out', 'i thought it fizzled out', 'i thought it fizzled out is it', 'so i thought it fizzled out']
[ "and join the privacy", "and join a privacy", "and join in privacy", "and your own privacy", "and join the privacy" ]
enjoying the privacy
and join the privacy.
and join a privacy. and join in privacy. and your own privacy. and join the privacy.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and join the privacy', 'and join a privacy', 'and join in privacy', 'and your own privacy', 'and join the privacy']
[ "because there is nothing worse than .", "because there is nothing worse than .", "because there is nothing worse than", "because there is nothing worse than", "because there is nothing worse than" ]
because there is nothing worse than
because there is nothing worse than ..
because there is nothing worse than .. because there is nothing worse than. because there is nothing worse than. because there is nothing worse than.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because there is nothing worse than .', 'because there is nothing worse than .', 'because there is nothing worse than', 'because there is nothing worse than', 'because there is nothing worse than']
[ "and being given heavy metal poisons", "and being given heavy metal poisoning", "and being given heavy metal poisons", "and being given heavy metal poisonous", "and being given heavy metal poison" ]
and being given heavy metal poisons
and being given heavy metal poisons.
and being given heavy metal poisoning. and being given heavy metal poisons. and being given heavy metal poisonous. and being given heavy metal poison.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and being given heavy metal poisons', 'and being given heavy metal poisoning', 'and being given heavy metal poisons', 'and being given heavy metal poisonous', 'and being given heavy metal poison']
[ "and it is a big record", "and it is a big record", "it is a big record", "it is a big record", "and it is a big record" ]
and it is a big record
and it is a big record.
and it is a big record. it is a big record. it is a big record. and it is a big record.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and it is a big record', 'and it is a big record', 'it is a big record', 'it is a big record', 'and it is a big record']
[ "again in south africa", "again in south africa", "again in south africa", "and south africa", "and south africa" ]
in south africa
again in south africa.
again in south africa. again in south africa. and south africa. and south africa.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['again in south africa', 'again in south africa', 'again in south africa', 'and south africa', 'and south africa']
[ "i have actually become the most .", "i have actually become the most", "i have actually become the most", "i have actually become the most", "i have become the most" ]
i have actually become the most
i have actually become the most ..
i have actually become the most. i have actually become the most. i have actually become the most. i have become the most.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i have actually become the most .', 'i have actually become the most', 'i have actually become the most', 'i have actually become the most', 'i have become the most']
[ "and it belongs to maureen and", "and it belongs to mourinho", "and it belongs to maureen and", "and it belongs to maureen", "and it belongs to moreno" ]
it belongs to maureen
and it belongs to maureen and.
and it belongs to mourinho. and it belongs to maureen and. and it belongs to maureen. and it belongs to moreno.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and it belongs to maureen and', 'and it belongs to mourinho', 'and it belongs to maureen and', 'and it belongs to maureen', 'and it belongs to moreno']
[ "this is where we let you into some of our trade secrets", "this is where we let you in to some of our trade secrets", "this is where we let you into some of our trade secrets", "this is where we let you into some of our trade secrets", "this is where we let you into some of our trade secrets" ]
this is where we let you into some of our trade
this is where we let you into some of our trade secrets.
this is where we let you in to some of our trade secrets. this is where we let you into some of our trade secrets. this is where we let you into some of our trade secrets. this is where we let you into some of our trade secrets.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is where we let you into some of our trade secrets', 'this is where we let you in to some of our trade secrets', 'this is where we let you into some of our trade secrets', 'this is where we let you into s...
[ "trams and horses and carriages and things like that", "trems and horses and carriages and things like that", "trends and horses and carriages and things like that", "tremes and horses and carriages and things like that", "trims and horses and carriages and things like that" ]
trams and horses and carriages and things like that
trams and horses and carriages and things like that.
trems and horses and carriages and things like that. trends and horses and carriages and things like that. tremes and horses and carriages and things like that. trims and horses and carriages and things like that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['trams and horses and carriages and things like that', 'trems and horses and carriages and things like that', 'trends and horses and carriages and things like that', 'tremes and horses and carriages and things ...
[ "but others were simply coming to make a better life for their families", "but others are simply coming to make a better life for their families", "but others were simply coming to make a better life for their families", "but others are simply coming to make a better life for their families", "but others ar...
but others were simply coming to make a better life for their families
but others were simply coming to make a better life for their families.
but others are simply coming to make a better life for their families. but others were simply coming to make a better life for their families. but others are simply coming to make a better life for their families. but others are simply coming to make a better life for their families.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but others were simply coming to make a better life for their families', 'but others are simply coming to make a better life for their families', 'but others were simply coming to make a better life for their ...
[ "that has been the training", "that has been the training", "that has been the training and", "that has been the training", "that has been the training and ." ]
that has been the training
that has been the training.
that has been the training. that has been the training and. that has been the training. that has been the training and ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that has been the training', 'that has been the training', 'that has been the training and', 'that has been the training', 'that has been the training and .']
[ "in the majority of cases that", "and the majority of cases that", "in the majority of cases that", "and the majority of cases that", "the majority of cases that" ]
in the majority of cases
in the majority of cases that.
and the majority of cases that. in the majority of cases that. and the majority of cases that. the majority of cases that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the majority of cases that', 'and the majority of cases that', 'in the majority of cases that', 'and the majority of cases that', 'the majority of cases that']
[ "i am just going out to buy some wine", "i am just going to buy some wine", "just going out to buy some wine", "i am just going to buy some wine", "i am just going to buy some wine" ]
i am just going out to buy some wine
i am just going out to buy some wine.
i am just going to buy some wine. just going out to buy some wine. i am just going to buy some wine. i am just going to buy some wine.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am just going out to buy some wine', 'i am just going to buy some wine', 'just going out to buy some wine', 'i am just going to buy some wine', 'i am just going to buy some wine']
[ "so it is quite a slow process", "so it is quite a slow process", "so it is quite a slow process", "so it is quite a slow process", "so it is quite a slow process" ]
that is quite a slow process
so it is quite a slow process.
so it is quite a slow process. so it is quite a slow process. so it is quite a slow process. so it is quite a slow process.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is quite a slow process', 'so it is quite a slow process', 'so it is quite a slow process', 'so it is quite a slow process', 'so it is quite a slow process']
[ "but could anyone raise a laugh by saying london", "or could anyone raise a laugh by saying london", "could anyone raise a laugh by saying london", "but could anyone raise love by saying london", "or could anyone raise love by saying london" ]
but could anyone raise a laugh by saying london
but could anyone raise a laugh by saying london.
or could anyone raise a laugh by saying london. could anyone raise a laugh by saying london. but could anyone raise love by saying london. or could anyone raise love by saying london.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but could anyone raise a laugh by saying london', 'or could anyone raise a laugh by saying london', 'could anyone raise a laugh by saying london', 'but could anyone raise love by saying london', 'or could anyo...
[ "so we will have to keep an eye on this", "and so we will have to keep an eye on this", "so we will have to keep an eye on this", "and so we will have to keep an eye on this", "and so we will have to keep an eye on this" ]
so we will have to keep an eye on this
so we will have to keep an eye on this.
and so we will have to keep an eye on this. so we will have to keep an eye on this. and so we will have to keep an eye on this. and so we will have to keep an eye on this.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so we will have to keep an eye on this', 'and so we will have to keep an eye on this', 'so we will have to keep an eye on this', 'and so we will have to keep an eye on this', 'and so we will have to keep an ey...
[ "join us next time to see if a new team of challenges have the brains to defeat those pesky eggs", "join us next time to see if a new team of challengers have the brains to defeat those pesky eggs", "join us next time to see if a new team of challenges have the brains to defeat those pesky eggs", "join us nex...
join us next time to see if a new team of challengers have the brains to defeat those pesky
join us next time to see if a new team of challenges have the brains to defeat those pesky eggs.
join us next time to see if a new team of challengers have the brains to defeat those pesky eggs. join us next time to see if a new team of challenges have the brains to defeat those pesky eggs. join us next time to see if a new team of challenges have the brains to defeat those pesky eggs. join us next time to see if ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['join us next time to see if a new team of challenges have the brains to defeat those pesky eggs', 'join us next time to see if a new team of challengers have the brains to defeat those pesky eggs', 'join us ne...
[ "you say from hampshire", "say from hampshire", "he is safe from hampshire", "you say from hamshare", "what do you say from hampshire" ]
so from hampshire
you say from hampshire.
say from hampshire. he is safe from hampshire. you say from hamshare. what do you say from hampshire.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you say from hampshire', 'say from hampshire', 'he is safe from hampshire', 'you say from hamshare', 'what do you say from hampshire']
[ "over two seasons", "over two seasons", "over two seasons", "over two seasons", "over two seasons" ]
over two seasons
over two seasons.
over two seasons. over two seasons. over two seasons. over two seasons.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['over two seasons', 'over two seasons', 'over two seasons', 'over two seasons', 'over two seasons']
[ "named to express the optimism for the future", "name to express the optimism for the future", "is named to express the optimism for the future", "was named to express the optimism for the future", "its name to express the optimism for the future" ]
named to express the optimism for the future
named to express the optimism for the future.
name to express the optimism for the future. is named to express the optimism for the future. was named to express the optimism for the future. its name to express the optimism for the future.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['named to express the optimism for the future', 'name to express the optimism for the future', 'is named to express the optimism for the future', 'was named to express the optimism for the future', 'its name to...
[ "heard and see what i can find", "and see what i can find", "heard and see what i can find", "heard and see what i can find", "and see what i can find" ]
let us see what i can find
heard and see what i can find.
and see what i can find. heard and see what i can find. heard and see what i can find. and see what i can find.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['heard and see what i can find', 'and see what i can find', 'heard and see what i can find', 'heard and see what i can find', 'and see what i can find']
[ "all over the world", "all over the world", "all over the world", "all over the world", "all of it" ]
all over the world
all over the world.
all over the world. all over the world. all over the world. all of it.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all over the world', 'all over the world', 'all over the world', 'all over the world', 'all of it']
[ "and very few made it much further", "and very few made it much further", "and very few made it much further", "and very few made it much further", "and very few made it much further" ]
and very few made it much further
and very few made it much further.
and very few made it much further. and very few made it much further. and very few made it much further. and very few made it much further.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and very few made it much further', 'and very few made it much further', 'and very few made it much further', 'and very few made it much further', 'and very few made it much further']
[ "when it comes to action is", "when it comes to action is", "when it comes to action it is", "when it comes to action is", "when it comes to action" ]
when it comes to action
when it comes to action is.
when it comes to action is. when it comes to action it is. when it comes to action is. when it comes to action.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when it comes to action is', 'when it comes to action is', 'when it comes to action it is', 'when it comes to action is', 'when it comes to action']
[ "they do not dispute", "they do not dispute", "they do not dispute", "may do not dispute", "they do not dispute" ]
they do not dispute
they do not dispute.
they do not dispute. they do not dispute. may do not dispute. they do not dispute.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they do not dispute', 'they do not dispute', 'they do not dispute', 'may do not dispute', 'they do not dispute']
[ "leaving behind them a rich legacy of car sales", "leaving behind them a rich legacy of castles", "leaving behind them a rich legacy of car sales", "leaving behind them a rich legacy of castles", "leaving behind them a rich legacy of castles" ]
leaving behind them a rich legacy of castles
leaving behind them a rich legacy of car sales.
leaving behind them a rich legacy of castles. leaving behind them a rich legacy of car sales. leaving behind them a rich legacy of castles. leaving behind them a rich legacy of castles.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['leaving behind them a rich legacy of car sales', 'leaving behind them a rich legacy of castles', 'leaving behind them a rich legacy of car sales', 'leaving behind them a rich legacy of castles', 'leaving behin...
[ "we were gone for a couple of days and came back", "we were gone for a couple of days and came back", "we were gone for a couple of days and came back", "we were gone for a couple of days and came back", "we were gone for a couple of days and came back" ]
we were gone for a couple of days and came back
we were gone for a couple of days and came back.
we were gone for a couple of days and came back. we were gone for a couple of days and came back. we were gone for a couple of days and came back. we were gone for a couple of days and came back.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we were gone for a couple of days and came back', 'we were gone for a couple of days and came back', 'we were gone for a couple of days and came back', 'we were gone for a couple of days and came back', 'we we...
[ "will be killed", "this will be killed", "would be killed", "this will be killed", "to be killed" ]
would be killed
will be killed.
this will be killed. would be killed. this will be killed. to be killed.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['will be killed', 'this will be killed', 'would be killed', 'this will be killed', 'to be killed']
[ "and it is a compass and i can never find where i am going", "and it is a compass and i can never find where i am going", "and is a compass and i can never find where i am going", "and it is a compass and i can never find where i am going", "and it is a compass and i can never find where i am going" ]
and it is a compass and i can never find where i am going
and it is a compass and i can never find where i am going.
and it is a compass and i can never find where i am going. and is a compass and i can never find where i am going. and it is a compass and i can never find where i am going. and it is a compass and i can never find where i am going.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and it is a compass and i can never find where i am going', 'and it is a compass and i can never find where i am going', 'and is a compass and i can never find where i am going', 'and it is a compass and i can...
[ "they do not have a sting but they have got very sharp jaws and they are able to spray form a camera", "but they do not have a sting but they have got very sharp jaws and they are able to spray form a camera", "but they do not have a sting but they have got very sharp jaws and they are able to spray form a came...
they do not have a sting but they have got very sharp jaws and they are able to spray formic
they do not have a sting but they have got very sharp jaws and they are able to spray form a camera.
but they do not have a sting but they have got very sharp jaws and they are able to spray form a camera. but they do not have a sting but they have got very sharp jaws and they are able to spray form a camera. but they do not have a sting but they have got very sharp jaws and they are able to spray form a camera. they ...
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they do not have a sting but they have got very sharp jaws and they are able to spray form a camera', 'but they do not have a sting but they have got very sharp jaws and they are able to spray form a camera', ...
[ "spain does not have the monopoly on this way of eating", "spain does not have the monopoly on this way of eating", "spain does not have the monopoly on this way of eating", "spain does not have the monopoly on this way of eating", "spain does not have the monopoly on this way of eating" ]
spain does not have the monopoly on this way of eating
spain does not have the monopoly on this way of eating.
spain does not have the monopoly on this way of eating. spain does not have the monopoly on this way of eating. spain does not have the monopoly on this way of eating. spain does not have the monopoly on this way of eating.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['spain does not have the monopoly on this way of eating', 'spain does not have the monopoly on this way of eating', 'spain does not have the monopoly on this way of eating', 'spain does not have the monopoly on...
[ "that is where the problem is", "that is where the problem is", "that is where the problem is", "that is where the problem is", "that is where the problem is" ]
that is where the problem is
that is where the problem is.
that is where the problem is. that is where the problem is. that is where the problem is. that is where the problem is.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is where the problem is', 'that is where the problem is', 'that is where the problem is', 'that is where the problem is', 'that is where the problem is']
[ "and it was so obvious it was not a fake", "and it was so obvious it was not a fake", "and it was so obvious it was not a fate", "and it was so obvious it was not afraid", "and it was so obvious it was not a fate" ]
and it was so obvious it was not a fake
and it was so obvious it was not a fake.
and it was so obvious it was not a fake. and it was so obvious it was not a fate. and it was so obvious it was not afraid. and it was so obvious it was not a fate.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and it was so obvious it was not a fake', 'and it was so obvious it was not a fake', 'and it was so obvious it was not a fate', 'and it was so obvious it was not afraid', 'and it was so obvious it was not a fa...
[ "each of them having already scored fifteen points", "each of them having already scored fifteen points", "each of them having already scored fifteen points", "each of them having already scored fifteen points", "and each of them having already scored fifteen points" ]
each of them having already scored fifteen points
each of them having already scored fifteen points.
each of them having already scored fifteen points. each of them having already scored fifteen points. each of them having already scored fifteen points. and each of them having already scored fifteen points.
train_lrs2
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each of them having already scored fifteen points', 'each of them having already scored fifteen points', 'each of them having already scored fifteen points', 'each of them having already scored fifteen points'...