Datasets:
GenSEC-LLM
/
SLT-Task1-Post-ASR-Text-Correction

Dataset card Data Studio Files
xet
Community
1
hypothesis
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5
5
transcription
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2
920
input1
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1.18k
⌀
hypothesis_concatenated
stringlengths
15
5.37k
⌀
source
stringclasses
8 values
id
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0 values
dummy_str
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138
6.25k
[ "ladies and gentlemen", "ladies and gentlemen", "ladies and gentlemen", "ladies and gentlemen", "ladies and gentlemen" ]
ladies and gentlemen
ladies and gentlemen.
ladies and gentlemen. ladies and gentlemen. ladies and gentlemen. ladies and gentlemen.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ladies and gentlemen', 'ladies and gentlemen', 'ladies and gentlemen', 'ladies and gentlemen', 'ladies and gentlemen']
[ "i do not know if i want to know too much more about him", "i do not know that i want to know too much more about him", "i do not know so i want to know too much more about him", "i do not know so i want to know too much more about him", "i do not know if i want to know too much about him" ]
i do not know that i want to know too much more about him
i do not know if i want to know too much more about him.
i do not know that i want to know too much more about him. i do not know so i want to know too much more about him. i do not know so i want to know too much more about him. i do not know if i want to know too much about him.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i do not know if i want to know too much more about him', 'i do not know that i want to know too much more about him', 'i do not know so i want to know too much more about him', 'i do not know so i want to know too much more about him', 'i do not know if i want to know too much about him']
[ "they will walk across services and as i", "they will walk across services and as i", "they will walk across services and as", "they will walk across services and as a", "they will walk across services and as a" ]
they will walk across surfaces and
they will walk across services and as i.
they will walk across services and as i. they will walk across services and as. they will walk across services and as a. they will walk across services and as a.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they will walk across services and as i', 'they will walk across services and as i', 'they will walk across services and as', 'they will walk across services and as a', 'they will walk across services and as a']
[ "and if they do not find one within a few weeks they will", "and they do not find one within a few weeks", "and if they do not find one within a few weeks they will be fine", "and that they do not find one within a few weeks", "and if they do not find one within a few weeks they will" ]
and if they do not find one within a few weeks
and if they do not find one within a few weeks they will.
and they do not find one within a few weeks. and if they do not find one within a few weeks they will be fine. and that they do not find one within a few weeks. and if they do not find one within a few weeks they will.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and if they do not find one within a few weeks they will', 'and they do not find one within a few weeks', 'and if they do not find one within a few weeks they will be fine', 'and that they do not find one within a few weeks', 'and if they do not find one within a few weeks they will']
[ "she does not have to answer it", "she does not have to answer it", "if she does not have to answer it", "she does not have to answer it so i .", "she does not have to answer it so i will ." ]
she does not have to answer it
she does not have to answer it.
she does not have to answer it. if she does not have to answer it. she does not have to answer it so i .. she does not have to answer it so i will ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she does not have to answer it', 'she does not have to answer it', 'if she does not have to answer it', 'she does not have to answer it so i .', 'she does not have to answer it so i will .']
[ "not a charity shop", "not a charity shopper", "not a charity shop", "not a charity shopper is", "not a charity shopper" ]
not a charity shop
not a charity shop.
not a charity shopper. not a charity shop. not a charity shopper is. not a charity shopper.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not a charity shop', 'not a charity shopper', 'not a charity shop', 'not a charity shopper is', 'not a charity shopper']
[ "there were no animals there", "there were no animals there", "there were no animals there", "there were no animals there", "there were no animals there" ]
there were no animals there
there were no animals there.
there were no animals there. there were no animals there. there were no animals there. there were no animals there.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were no animals there', 'there were no animals there', 'there were no animals there', 'there were no animals there', 'there were no animals there']
[ "sarah does as well", "and sarah does as well", "and sarah does as well", "sara does as well", "sarah does as well" ]
sarah does as well
sarah does as well.
and sarah does as well. and sarah does as well. sara does as well. sarah does as well.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sarah does as well', 'and sarah does as well', 'and sarah does as well', 'sara does as well', 'sarah does as well']
[ "thank you very much", "thank you very much", "thank you very much", "thank you very much", "thank you very much" ]
thank you very much
thank you very much.
thank you very much. thank you very much. thank you very much. thank you very much.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thank you very much', 'thank you very much', 'thank you very much', 'thank you very much', 'thank you very much']
[ "because if you went out for a drink it would turn into a very long night always ending up back", "because if you went out for a drink it would turn into a very long night always ending up back", "because if you went out for a drink it would turn into a very long night always ending up back", "because if you went out for a drink it would turn into a very long night always ending up back", "because if you went out for a drink it would turn into a very long night always ending up back" ]
because if you went out for a drink it would turn into a very long night always ending up
because if you went out for a drink it would turn into a very long night always ending up back.
because if you went out for a drink it would turn into a very long night always ending up back. because if you went out for a drink it would turn into a very long night always ending up back. because if you went out for a drink it would turn into a very long night always ending up back. because if you went out for a drink it would turn into a very long night always ending up back.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because if you went out for a drink it would turn into a very long night always ending up back', 'because if you went out for a drink it would turn into a very long night always ending up back', 'because if you went out for a drink it would turn into a very long night always ending up back', 'because if you went out for a drink it would turn into a very long night always ending up back', 'because if you went out for a drink it would turn into a very long night always ending up back']
[ "the two exceptions were", "the two exceptions were .", "the two exceptions", "the two exceptions were", "the two exceptions" ]
the two exceptions
the two exceptions were.
the two exceptions were .. the two exceptions. the two exceptions were. the two exceptions.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two exceptions were', 'the two exceptions were .', 'the two exceptions', 'the two exceptions were', 'the two exceptions']
[ "sweet and tasty with a nice golden cream", "sweet and tasty with a nice golden cream", "sweet and tasty with a nice golden", "sweet and tasty with a nice golden crepe", "sweet and tasty with a nice golden cream" ]
sweet and tasty with a nice golden
sweet and tasty with a nice golden cream.
sweet and tasty with a nice golden cream. sweet and tasty with a nice golden. sweet and tasty with a nice golden crepe. sweet and tasty with a nice golden cream.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sweet and tasty with a nice golden cream', 'sweet and tasty with a nice golden cream', 'sweet and tasty with a nice golden', 'sweet and tasty with a nice golden crepe', 'sweet and tasty with a nice golden cream']
[ "monday to friday", "monday friday", "monday to friday", "monday to friday", "monday to friday" ]
monday to friday
monday to friday.
monday friday. monday to friday. monday to friday. monday to friday.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['monday to friday', 'monday friday', 'monday to friday', 'monday to friday', 'monday to friday']
[ "let me tell you something rather spooky happened to us just before the show", "let me tell you something rather spooky happen to us just before the show", "let me tell you something rather spooky happened to us just before the show", "let me tell you something rather spooky happened to us just before the show", "let me tell you something rather spooky happened to us just before the show" ]
let me tell you something rather spooky happened to us just before the show
let me tell you something rather spooky happened to us just before the show.
let me tell you something rather spooky happen to us just before the show. let me tell you something rather spooky happened to us just before the show. let me tell you something rather spooky happened to us just before the show. let me tell you something rather spooky happened to us just before the show.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let me tell you something rather spooky happened to us just before the show', 'let me tell you something rather spooky happen to us just before the show', 'let me tell you something rather spooky happened to us just before the show', 'let me tell you something rather spooky happened to us just before the show', 'let me tell you something rather spooky happened to us just before the show']
[ "but if you lose me", "but if you lose me", "but if you lose me in", "but if you lose me in", "but if he loves me" ]
but if he loves me
but if you lose me.
but if you lose me. but if you lose me in. but if you lose me in. but if he loves me.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but if you lose me', 'but if you lose me', 'but if you lose me in', 'but if you lose me in', 'but if he loves me']
[ "and they come in all various shapes and sizes", "they come in all various shapes and sizes", "and they come in all various shapes and sizes", "they come in all various shapes and sizes", "they come in all various shapes and sizes and" ]
they come in all various shapes and sizes
and they come in all various shapes and sizes.
they come in all various shapes and sizes. and they come in all various shapes and sizes. they come in all various shapes and sizes. they come in all various shapes and sizes and.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and they come in all various shapes and sizes', 'they come in all various shapes and sizes', 'and they come in all various shapes and sizes', 'they come in all various shapes and sizes', 'they come in all various shapes and sizes and']
[ "it has gone fast", "it has gone fast", "it has gone faster", "it has gone faster", "it has gone fast" ]
it has gone fast
it has gone fast.
it has gone fast. it has gone faster. it has gone faster. it has gone fast.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has gone fast', 'it has gone fast', 'it has gone faster', 'it has gone faster', 'it has gone fast']
[ "not as much rain this time", "not as much rain this time", "not as much rain this time", "not as much rain this time", "not as much rain this time ." ]
not as much rain this time
not as much rain this time.
not as much rain this time. not as much rain this time. not as much rain this time. not as much rain this time ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not as much rain this time', 'not as much rain this time', 'not as much rain this time', 'not as much rain this time', 'not as much rain this time .']
[ "they would not be pleased in the airport if you pitched up with this one", "they would not be pleased in the airport if you pitched up with this one", "they do not be pleased in the airport if you pitched up with this one", "they do not be pleased in the airport if you have pitched up with this one", "they do not be pleased in the airport if you pitched up with this one" ]
they would not be pleased at the airport if you pitched up with this one
they would not be pleased in the airport if you pitched up with this one.
they would not be pleased in the airport if you pitched up with this one. they do not be pleased in the airport if you pitched up with this one. they do not be pleased in the airport if you have pitched up with this one. they do not be pleased in the airport if you pitched up with this one.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they would not be pleased in the airport if you pitched up with this one', 'they would not be pleased in the airport if you pitched up with this one', 'they do not be pleased in the airport if you pitched up with this one', 'they do not be pleased in the airport if you have pitched up with this one', 'they do not be pleased in the airport if you pitched up with this one']
[ "lastly we flip to something that is entirely pleasurable", "lastly we flipped to something that is entirely pleasurable", "lastly we flip to something that is entirely pleasurable", "lastly we flip to something that is entirely pleasurable", "lastly we flip to something that is entirely pleasurable" ]
lastly we flip to something that is entirely pleasurable
lastly we flip to something that is entirely pleasurable.
lastly we flipped to something that is entirely pleasurable. lastly we flip to something that is entirely pleasurable. lastly we flip to something that is entirely pleasurable. lastly we flip to something that is entirely pleasurable.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lastly we flip to something that is entirely pleasurable', 'lastly we flipped to something that is entirely pleasurable', 'lastly we flip to something that is entirely pleasurable', 'lastly we flip to something that is entirely pleasurable', 'lastly we flip to something that is entirely pleasurable']
[ "so with that in mind", "so with that in mind", "so with that in mind .", "so with that in mind", "so with that in mind" ]
so with that in mind
so with that in mind.
so with that in mind. so with that in mind .. so with that in mind. so with that in mind.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so with that in mind', 'so with that in mind', 'so with that in mind .', 'so with that in mind', 'so with that in mind']
[ "of all the implausible things", "of all the implausible things", "how all the implausible things", "of all the implausible things", "of all the implausible things" ]
of all implausible things
of all the implausible things.
of all the implausible things. how all the implausible things. of all the implausible things. of all the implausible things.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of all the implausible things', 'of all the implausible things', 'how all the implausible things', 'of all the implausible things', 'of all the implausible things']
[ "friends for life", "friends for life", "best friends for life", "with friends for life", "as friends for life" ]
friends for life
friends for life.
friends for life. best friends for life. with friends for life. as friends for life.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['friends for life', 'friends for life', 'best friends for life', 'with friends for life', 'as friends for life']
[ "with apologies to our welsh viewers for my accent", "with apologies to our welsh viewers from my accent", "with apologies to our welsh viewers for my accent", "so with apologies to our welsh viewers for my accent", "with apologies to our welsh viewers for my accent" ]
with apologies to our welsh viewers for my accent
with apologies to our welsh viewers for my accent.
with apologies to our welsh viewers from my accent. with apologies to our welsh viewers for my accent. so with apologies to our welsh viewers for my accent. with apologies to our welsh viewers for my accent.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with apologies to our welsh viewers for my accent', 'with apologies to our welsh viewers from my accent', 'with apologies to our welsh viewers for my accent', 'so with apologies to our welsh viewers for my accent', 'with apologies to our welsh viewers for my accent']
[ "the red deer rut", "the red deer rut", "the red deer rut", "the red deer rut", "the red deer rut" ]
the red the rut
the red deer rut.
the red deer rut. the red deer rut. the red deer rut. the red deer rut.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the red deer rut', 'the red deer rut', 'the red deer rut', 'the red deer rut', 'the red deer rut']
[ "they went into the maze of their own accord to get a treat of nuts", "they went into the maze of their own accord to get a treat of nuts with", "they went into the maze of their own accord to get a treat of nuts", "they went into the maze of their own accord to get a treat of nuts with", "they went into the maze of their own accord to get a treat of nuts" ]
they went into the maze of their own accord to get a treat of not
they went into the maze of their own accord to get a treat of nuts.
they went into the maze of their own accord to get a treat of nuts with. they went into the maze of their own accord to get a treat of nuts. they went into the maze of their own accord to get a treat of nuts with. they went into the maze of their own accord to get a treat of nuts.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they went into the maze of their own accord to get a treat of nuts', 'they went into the maze of their own accord to get a treat of nuts with', 'they went into the maze of their own accord to get a treat of nuts', 'they went into the maze of their own accord to get a treat of nuts with', 'they went into the maze of their own accord to get a treat of nuts']
[ "let us go bargain hunting", "let us go bargain hunting", "let us go bargain hunting", "let us go bargain hunting", "let us go bargained hunting" ]
let us go bargain hunting
let us go bargain hunting.
let us go bargain hunting. let us go bargain hunting. let us go bargain hunting. let us go bargained hunting.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us go bargain hunting', 'let us go bargain hunting', 'let us go bargain hunting', 'let us go bargain hunting', 'let us go bargained hunting']
[ "of the british remake", "that was a british remake", "the british remake", "how the british remake", "that was the british remake" ]
the british remake
of the british remake.
that was a british remake. the british remake. how the british remake. that was the british remake.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of the british remake', 'that was a british remake', 'the british remake', 'how the british remake', 'that was the british remake']
[ "as it approaches the sun", "as it approaches the sun", "as it approaches the sun", "as it opposes the sun", "as it approaches the sun" ]
as it approaches the sun
as it approaches the sun.
as it approaches the sun. as it approaches the sun. as it opposes the sun. as it approaches the sun.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as it approaches the sun', 'as it approaches the sun', 'as it approaches the sun', 'as it opposes the sun', 'as it approaches the sun']
[ "did you go away for your holidays", "and did you go away for your holidays", "did you go away from your holidays", "and did you go away for your holidays", "did you go away for your holidays" ]
did you go away for your holidays
did you go away for your holidays.
and did you go away for your holidays. did you go away from your holidays. and did you go away for your holidays. did you go away for your holidays.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['did you go away for your holidays', 'and did you go away for your holidays', 'did you go away from your holidays', 'and did you go away for your holidays', 'did you go away for your holidays']
[ "one birth they let it slip she would like a titanic meal", "one birth they let it slip she would like a titanic meal", "one birth they let it slip she would like a titanic meal", "one birth they let it slip she would like a titanic meal", "one birth they let it slip she would like a titanic meal" ]
one birthday let it slip she would like a titanic meal
one birth they let it slip she would like a titanic meal.
one birth they let it slip she would like a titanic meal. one birth they let it slip she would like a titanic meal. one birth they let it slip she would like a titanic meal. one birth they let it slip she would like a titanic meal.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one birth they let it slip she would like a titanic meal', 'one birth they let it slip she would like a titanic meal', 'one birth they let it slip she would like a titanic meal', 'one birth they let it slip she would like a titanic meal', 'one birth they let it slip she would like a titanic meal']
[ "one very broadly broken and mended without", "one very broadly broken amended without", "one very broadly broken and mended with our", "one very broadly broken amended with our", "one very broadly broken and menacingly" ]
one very badly broken and mended
one very broadly broken and mended without.
one very broadly broken amended without. one very broadly broken and mended with our. one very broadly broken amended with our. one very broadly broken and menacingly.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one very broadly broken and mended without', 'one very broadly broken amended without', 'one very broadly broken and mended with our', 'one very broadly broken amended with our', 'one very broadly broken and menacingly']
[ "if that is pointed out at the time that that person is buying them", "if that is pointed out at the time that that person is buying them", "if that is pointed out at the time that that person is buying them", "if that is pointed out at the time that that person is buying them", "if that is pointed out at the time that that person is buying them" ]
if that is pointed out at the time that person is buying them
if that is pointed out at the time that that person is buying them.
if that is pointed out at the time that that person is buying them. if that is pointed out at the time that that person is buying them. if that is pointed out at the time that that person is buying them. if that is pointed out at the time that that person is buying them.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if that is pointed out at the time that that person is buying them', 'if that is pointed out at the time that that person is buying them', 'if that is pointed out at the time that that person is buying them', 'if that is pointed out at the time that that person is buying them', 'if that is pointed out at the time that that person is buying them']
[ "i am actually to therapist office", "i am actually the therapist office", "i am actually to therapist office", "i am actually to therapists office", "i am actually to therapist office" ]
i am actually at a therapists office
i am actually to therapist office.
i am actually the therapist office. i am actually to therapist office. i am actually to therapists office. i am actually to therapist office.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am actually to therapist office', 'i am actually the therapist office', 'i am actually to therapist office', 'i am actually to therapists office', 'i am actually to therapist office']
[ "this is a hot property that", "this is a hot property that", "this is a hot property", "like this is a hot property that", "this is a hot property" ]
this is a hot property
this is a hot property that.
this is a hot property that. this is a hot property. like this is a hot property that. this is a hot property.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a hot property that', 'this is a hot property that', 'this is a hot property', 'like this is a hot property that', 'this is a hot property']
[ "yang and moa", "yang and moa", "yang and moa", "yang and moa", "yang and moa" ]
young and mawer
yang and moa.
yang and moa. yang and moa. yang and moa. yang and moa.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['yang and moa', 'yang and moa', 'yang and moa', 'yang and moa', 'yang and moa']
[ "it has been overlooked and overcooked for far too long", "it has been overlooked and overcooked for far too long", "it has been overlooked and overcooked for far too long", "it has been overlooked and overcooked for far too long", "it has been overlooked and overcooked for far too long" ]
it has been overlooked and overcooked for far too long
it has been overlooked and overcooked for far too long.
it has been overlooked and overcooked for far too long. it has been overlooked and overcooked for far too long. it has been overlooked and overcooked for far too long. it has been overlooked and overcooked for far too long.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has been overlooked and overcooked for far too long', 'it has been overlooked and overcooked for far too long', 'it has been overlooked and overcooked for far too long', 'it has been overlooked and overcooked for far too long', 'it has been overlooked and overcooked for far too long']
[ "and i think if you have that attitude", "and i think if you have that attitude", "and i think if you have that attitude .", "and i think if you have that attitude .", "and i think if you have that attitude" ]
and i think if you have that attitude
and i think if you have that attitude.
and i think if you have that attitude. and i think if you have that attitude .. and i think if you have that attitude .. and i think if you have that attitude.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and i think if you have that attitude', 'and i think if you have that attitude', 'and i think if you have that attitude .', 'and i think if you have that attitude .', 'and i think if you have that attitude']
[ "so that some parts of it are in some all the day", "and so that some parts of it are in some all the day", "so that some parts of it are in sun all the day", "so that some parts of it are in some all the day", "so that some parts of it are in some all the day" ]
so that some parts of it are in sun all the day
so that some parts of it are in some all the day.
and so that some parts of it are in some all the day. so that some parts of it are in sun all the day. so that some parts of it are in some all the day. so that some parts of it are in some all the day.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so that some parts of it are in some all the day', 'and so that some parts of it are in some all the day', 'so that some parts of it are in sun all the day', 'so that some parts of it are in some all the day', 'so that some parts of it are in some all the day']
[ "and instead of turning right towards compromise", "and instead of turning right towards combrano", "and instead of turning right towards combron", "and instead of turning right towards combrane", "and instead of turning right towards combran" ]
and instead of turning right towards cwmbran
and instead of turning right towards compromise.
and instead of turning right towards combrano. and instead of turning right towards combron. and instead of turning right towards combrane. and instead of turning right towards combran.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and instead of turning right towards compromise', 'and instead of turning right towards combrano', 'and instead of turning right towards combron', 'and instead of turning right towards combrane', 'and instead of turning right towards combran']
[ "and it is named supposedly", "and it is named supposedly", "and its name supposedly", "and it is named supposedly", "and its named supposedly" ]
and it is named supposedly
and it is named supposedly.
and it is named supposedly. and its name supposedly. and it is named supposedly. and its named supposedly.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and it is named supposedly', 'and it is named supposedly', 'and its name supposedly', 'and it is named supposedly', 'and its named supposedly']
[ "there is one thing they pretty much be guaranteed to say", "there is one thing they pretty much be guaranteed to say", "there is one thing they pretty much began to say", "there is one thing they pretty much be guaranteed to say", "there is one thing they pretty much be guaranteed to say" ]
there is one thing they would pretty much be guaranteed to say
there is one thing they pretty much be guaranteed to say.
there is one thing they pretty much be guaranteed to say. there is one thing they pretty much began to say. there is one thing they pretty much be guaranteed to say. there is one thing they pretty much be guaranteed to say.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is one thing they pretty much be guaranteed to say', 'there is one thing they pretty much be guaranteed to say', 'there is one thing they pretty much began to say', 'there is one thing they pretty much be guaranteed to say', 'there is one thing they pretty much be guaranteed to say']
[ "you are only minus five", "you are only minus five", "you are earning minus five", "you are any minus five", "you are earning minus five" ]
you are only minus five
you are only minus five.
you are only minus five. you are earning minus five. you are any minus five. you are earning minus five.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you are only minus five', 'you are only minus five', 'you are earning minus five', 'you are any minus five', 'you are earning minus five']
[ "whether that is digging holes in your garden or even in oxfordshire swimming pools", "whether that is digging holes in your garden or even in oxfordshire swimming pools", "whether that is digging holes in your garden or even in oxfordshire swimming pools", "whether that is digging holes in your garden or even in oxfordshire swimming pools", "whether that is digging holes in your garden or even in oxfordshire swimming pools" ]
whether that is digging holes in your garden or even in oxfordshire swimming pools
whether that is digging holes in your garden or even in oxfordshire swimming pools.
whether that is digging holes in your garden or even in oxfordshire swimming pools. whether that is digging holes in your garden or even in oxfordshire swimming pools. whether that is digging holes in your garden or even in oxfordshire swimming pools. whether that is digging holes in your garden or even in oxfordshire swimming pools.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['whether that is digging holes in your garden or even in oxfordshire swimming pools', 'whether that is digging holes in your garden or even in oxfordshire swimming pools', 'whether that is digging holes in your garden or even in oxfordshire swimming pools', 'whether that is digging holes in your garden or even in oxfordshire swimming pools', 'whether that is digging holes in your garden or even in oxfordshire swimming pools']
[ "itunes had not even been established then", "itunes had not even been established then", "itunes had not even been established then", "itunes have not even been established then", "itunes has not even been established then" ]
itunes had not even been established then
itunes had not even been established then.
itunes had not even been established then. itunes had not even been established then. itunes have not even been established then. itunes has not even been established then.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['itunes had not even been established then', 'itunes had not even been established then', 'itunes had not even been established then', 'itunes have not even been established then', 'itunes has not even been established then']
[ "keep those coming in", "to keep those coming in", "keep those coming in", "and keep those coming in", "and keep those coming in" ]
keep those coming in
keep those coming in.
to keep those coming in. keep those coming in. and keep those coming in. and keep those coming in.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['keep those coming in', 'to keep those coming in', 'keep those coming in', 'and keep those coming in', 'and keep those coming in']
[ "i am all for a regional accent", "i am all for a regional accident", "i am all for a regional access", "i am all for regional access", "i am all for regional accents" ]
i am all for regional accents
i am all for a regional accent.
i am all for a regional accident. i am all for a regional access. i am all for regional access. i am all for regional accents.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am all for a regional accent', 'i am all for a regional accident', 'i am all for a regional access', 'i am all for regional access', 'i am all for regional accents']
[ "but we should also remember the brave lives lost in other wars", "but we should also remember the brave lives lost in other wars", "but we should also remember that brave lives lost in other wars", "but we should also remember that brave lives lost in other wars", "but we should also remember the brave lives lost in other wars" ]
but we should also remember the brave lives lost in other wars
but we should also remember the brave lives lost in other wars.
but we should also remember the brave lives lost in other wars. but we should also remember that brave lives lost in other wars. but we should also remember that brave lives lost in other wars. but we should also remember the brave lives lost in other wars.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but we should also remember the brave lives lost in other wars', 'but we should also remember the brave lives lost in other wars', 'but we should also remember that brave lives lost in other wars', 'but we should also remember that brave lives lost in other wars', 'but we should also remember the brave lives lost in other wars']
[ "we do get a bit of that", "we do get a bit of that", "we do get a bit of that as", "so we do get a bit of that", "so we do get a bit of that" ]
we do get a bit of that
we do get a bit of that.
we do get a bit of that. we do get a bit of that as. so we do get a bit of that. so we do get a bit of that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we do get a bit of that', 'we do get a bit of that', 'we do get a bit of that as', 'so we do get a bit of that', 'so we do get a bit of that']
[ "tonight is also children in need tonight", "tonight is also children in need night", "this tonight is also children in need tonight", "last night is also children in need night", "last night is also children in need tonight" ]
tonight is also children in need night
tonight is also children in need tonight.
tonight is also children in need night. this tonight is also children in need tonight. last night is also children in need night. last night is also children in need tonight.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tonight is also children in need tonight', 'tonight is also children in need night', 'this tonight is also children in need tonight', 'last night is also children in need night', 'last night is also children in need tonight']
[ "and the questions of all general knowledge", "and the questions are all general knowledge", "and the questions are all general knowledge", "and the questions at all general knowledge", "and the questions that all general knowledge" ]
the questions are all general knowledge
and the questions of all general knowledge.
and the questions are all general knowledge. and the questions are all general knowledge. and the questions at all general knowledge. and the questions that all general knowledge.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and the questions of all general knowledge', 'and the questions are all general knowledge', 'and the questions are all general knowledge', 'and the questions at all general knowledge', 'and the questions that all general knowledge']
[ "this is a glorious time to be able to say", "and this is a glorious time to be able to say", "now this is a glorious time to be able to say", "this is a glorious time to be able to say", "this is a glorious time to be able to say" ]
this is a glorious time to be able to say
this is a glorious time to be able to say.
and this is a glorious time to be able to say. now this is a glorious time to be able to say. this is a glorious time to be able to say. this is a glorious time to be able to say.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a glorious time to be able to say', 'and this is a glorious time to be able to say', 'now this is a glorious time to be able to say', 'this is a glorious time to be able to say', 'this is a glorious time to be able to say']
[ "a really interesting character", "really interesting character", "a really interesting character", "a really interesting character", "a really interesting character" ]
really interesting character
a really interesting character.
really interesting character. a really interesting character. a really interesting character. a really interesting character.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a really interesting character', 'really interesting character', 'a really interesting character', 'a really interesting character', 'a really interesting character']
[ "six billion pounds that is how much nhs trusts in england overspent in six months", "£six billion that is how much nhs trusts in england overspent in six months", "six billion pounds that is how much nhs trusts in england overspent in six months", "six billion pounds that is how much nhs trusts in england overspent in six months", "$six billion that is how much nhs trusts in england overspent in six months" ]
six billion that is how much nhs trusts in england overspent in six months
six billion pounds that is how much nhs trusts in england overspent in six months.
£six billion that is how much nhs trusts in england overspent in six months. six billion pounds that is how much nhs trusts in england overspent in six months. six billion pounds that is how much nhs trusts in england overspent in six months. $six billion that is how much nhs trusts in england overspent in six months.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['six billion pounds that is how much nhs trusts in england overspent in six months', '£six billion that is how much nhs trusts in england overspent in six months', 'six billion pounds that is how much nhs trusts in england overspent in six months', 'six billion pounds that is how much nhs trusts in england overspent in six months', '$six billion that is how much nhs trusts in england overspent in six months']
[ "everybody is done their jobs perfectly", "everybody is done their jobs perfectly", "everybody is done their job perfectly", "everybody is done their job perfectly", "everybody is done their jobs perfectly" ]
everybody has done their job is perfectly
everybody is done their jobs perfectly.
everybody is done their jobs perfectly. everybody is done their job perfectly. everybody is done their job perfectly. everybody is done their jobs perfectly.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['everybody is done their jobs perfectly', 'everybody is done their jobs perfectly', 'everybody is done their job perfectly', 'everybody is done their job perfectly', 'everybody is done their jobs perfectly']
[ "what that ancestor did was move out", "what that ancestor did was move out", "and what that ancestor did was move out", "and what that ancestor did was move out", "what that ancestor did was move out" ]
what that ancestor did was move out
what that ancestor did was move out.
what that ancestor did was move out. and what that ancestor did was move out. and what that ancestor did was move out. what that ancestor did was move out.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what that ancestor did was move out', 'what that ancestor did was move out', 'and what that ancestor did was move out', 'and what that ancestor did was move out', 'what that ancestor did was move out']
[ "but it is a sweet thing", "but it is a sweet thing", "but it is a sweet thing", "but it is a sweet thing", "but it is a sweet thing" ]
but it is a sweet thing
but it is a sweet thing.
but it is a sweet thing. but it is a sweet thing. but it is a sweet thing. but it is a sweet thing.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but it is a sweet thing', 'but it is a sweet thing', 'but it is a sweet thing', 'but it is a sweet thing', 'but it is a sweet thing']
[ "we are so lucky to be in the heart of britain is beautiful countryside", "we are so lucky to be in the heart of britain is beautiful countryside", "we are so lucky to be in the heart of briton is beautiful countryside", "we are so lucky to be in the heart of britain is beautiful countryside", "we are so lucky to be in the heart of briton is beautiful countryside" ]
we are so lucky to be in the heart of britain is beautiful countryside
we are so lucky to be in the heart of britain is beautiful countryside.
we are so lucky to be in the heart of britain is beautiful countryside. we are so lucky to be in the heart of briton is beautiful countryside. we are so lucky to be in the heart of britain is beautiful countryside. we are so lucky to be in the heart of briton is beautiful countryside.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are so lucky to be in the heart of britain is beautiful countryside', 'we are so lucky to be in the heart of britain is beautiful countryside', 'we are so lucky to be in the heart of briton is beautiful countryside', 'we are so lucky to be in the heart of britain is beautiful countryside', 'we are so lucky to be in the heart of briton is beautiful countryside']
[ "they have got a very big", "they have got a very big", "that they have gone up very big", "that they have got a very big", "they have gone a very big" ]
they have got a very big
they have got a very big.
they have got a very big. that they have gone up very big. that they have got a very big. they have gone a very big.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have got a very big', 'they have got a very big', 'that they have gone up very big', 'that they have got a very big', 'they have gone a very big']
[ "i would also consider it an honor", "i would also consider it an honoris", "i would also consider it an honor as .", "i also consider it an honor", "i would also consider it an honor is ." ]
i would also consider it an honor
i would also consider it an honor.
i would also consider it an honoris. i would also consider it an honor as .. i also consider it an honor. i would also consider it an honor is ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i would also consider it an honor', 'i would also consider it an honoris', 'i would also consider it an honor as .', 'i also consider it an honor', 'i would also consider it an honor is .']
[ "but well i am a creature of impulse stephanie so .", "but well i am a creature of impulse stephanie so .", "but well i am a creature of impulse stephanie", "but well i am a creature of impulse stephanie", "but well i am a creature of impulse stephanie so ." ]
but i am a creature of impulse
but well i am a creature of impulse stephanie so ..
but well i am a creature of impulse stephanie so .. but well i am a creature of impulse stephanie. but well i am a creature of impulse stephanie. but well i am a creature of impulse stephanie so ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but well i am a creature of impulse stephanie so .', 'but well i am a creature of impulse stephanie so .', 'but well i am a creature of impulse stephanie', 'but well i am a creature of impulse stephanie', 'but well i am a creature of impulse stephanie so .']
[ "it was based here on the south bank and", "it was based here on the south bank", "he was based here on the south bank and", "he was based here on the south bank", "it was based here on the south bank and" ]
it was based here on the south bank
it was based here on the south bank and.
it was based here on the south bank. he was based here on the south bank and. he was based here on the south bank. it was based here on the south bank and.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was based here on the south bank and', 'it was based here on the south bank', 'he was based here on the south bank and', 'he was based here on the south bank', 'it was based here on the south bank and']
[ "capoeira is an african brazilian art it is a martial art", "capoeira is an african brazilian art it is a martial art", "capoeir is an african brazilian art it is a martial art", "capoeira is an african brazilian art it is a martial art", "capoeira is an african brazilian art it is a martial art" ]
capoeira is an african brazilian martial art
capoeira is an african brazilian art it is a martial art.
capoeira is an african brazilian art it is a martial art. capoeir is an african brazilian art it is a martial art. capoeira is an african brazilian art it is a martial art. capoeira is an african brazilian art it is a martial art.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['capoeira is an african brazilian art it is a martial art', 'capoeira is an african brazilian art it is a martial art', 'capoeir is an african brazilian art it is a martial art', 'capoeira is an african brazilian art it is a martial art', 'capoeira is an african brazilian art it is a martial art']
[ "it is time to do the news", "it is time to do the news", "in his time to do the news", "it is time to do the news", "it is time to do the news" ]
it is time to do the news
it is time to do the news.
it is time to do the news. in his time to do the news. it is time to do the news. it is time to do the news.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is time to do the news', 'it is time to do the news', 'in his time to do the news', 'it is time to do the news', 'it is time to do the news']
[ "and what a spot for it", "and what a spot for it", "and what a spot for it", "and what a spot for it", "what a spot for it" ]
and what a spot for it
and what a spot for it.
and what a spot for it. and what a spot for it. and what a spot for it. what a spot for it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and what a spot for it', 'and what a spot for it', 'and what a spot for it', 'and what a spot for it', 'what a spot for it']
[ "it was a younger man", "it was a younger man", "it was the younger man", "but it was a younger man", "it was the younger man" ]
it was the younger man
it was a younger man.
it was a younger man. it was the younger man. but it was a younger man. it was the younger man.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a younger man', 'it was a younger man', 'it was the younger man', 'but it was a younger man', 'it was the younger man']
[ "the rich treasures inside attract international attention", "but the rich treasures inside attract international attention", "but the rich treasures inside attract international attention", "the rich treasures inside attract international attention", "that the rich treasures inside attract international attention" ]
the rich treasures inside attract international attention
the rich treasures inside attract international attention.
but the rich treasures inside attract international attention. but the rich treasures inside attract international attention. the rich treasures inside attract international attention. that the rich treasures inside attract international attention.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the rich treasures inside attract international attention', 'but the rich treasures inside attract international attention', 'but the rich treasures inside attract international attention', 'the rich treasures inside attract international attention', 'that the rich treasures inside attract international attention']
[ "your generosity is vital to that work", "your generosity is vital to that work", "your generosity is vital to that work so", "your generosity is vital to that work so", "your generosity is vital to that work so" ]
your your generosity is vital to that work
your generosity is vital to that work.
your generosity is vital to that work. your generosity is vital to that work so. your generosity is vital to that work so. your generosity is vital to that work so.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['your generosity is vital to that work', 'your generosity is vital to that work', 'your generosity is vital to that work so', 'your generosity is vital to that work so', 'your generosity is vital to that work so']
[ "is the government right about everything", "is the government right about everything", "is the government right about everything", " is the government right about everything", "is the government right about everything" ]
is the government right about everything
is the government right about everything.
is the government right about everything. is the government right about everything. is the government right about everything. is the government right about everything.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is the government right about everything', 'is the government right about everything', 'is the government right about everything', ' is the government right about everything', 'is the government right about everything']
[ "but as tom has been finding out it is", "but as tom has been finding out it is", "but as thomas has been finding out it is", "but as thomas been finding out it is", "but as thomas been finding out it is" ]
but as tom has been finding out
but as tom has been finding out it is.
but as tom has been finding out it is. but as thomas has been finding out it is. but as thomas been finding out it is. but as thomas been finding out it is.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but as tom has been finding out it is', 'but as tom has been finding out it is', 'but as thomas has been finding out it is', 'but as thomas been finding out it is', 'but as thomas been finding out it is']
[ "and this is very different", "and this is very different", "and this is very different now", "and this is very different", "and this is very different" ]
and this is very different
and this is very different.
and this is very different. and this is very different now. and this is very different. and this is very different.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and this is very different', 'and this is very different', 'and this is very different now', 'and this is very different', 'and this is very different']
[ "ten is too many", "ten is too many", "ten is to many", "ten is too many", "ten is too many" ]
ten is too many
ten is too many.
ten is too many. ten is to many. ten is too many. ten is too many.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ten is too many', 'ten is too many', 'ten is to many', 'ten is too many', 'ten is too many']
[ "i fight the experts for it", "i fight the experts for it", "i fight the experts for it", "fight the experts for it", "i fight the experts for it" ]
i fight the experts for it
i fight the experts for it.
i fight the experts for it. i fight the experts for it. fight the experts for it. i fight the experts for it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i fight the experts for it', 'i fight the experts for it', 'i fight the experts for it', 'fight the experts for it', 'i fight the experts for it']
[ "i inherited it from my grandmother", "i inherited it from my grandmother", "i inherited it from my grandmother", "i inherited it from my grandmother", "i inherited it from my grandmother" ]
i inherited it from my grandmother
i inherited it from my grandmother.
i inherited it from my grandmother. i inherited it from my grandmother. i inherited it from my grandmother. i inherited it from my grandmother.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i inherited it from my grandmother', 'i inherited it from my grandmother', 'i inherited it from my grandmother', 'i inherited it from my grandmother', 'i inherited it from my grandmother']
[ "when they were three", "when they were three they", "and when they were three they .", "and when there were three there", "when there were three that" ]
when they were three
when they were three.
when they were three they. and when they were three they .. and when there were three there. when there were three that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when they were three', 'when they were three they', 'and when they were three they .', 'and when there were three there', 'when there were three that']
[ "pull yourself together", "pull yourself together", "pull yourself together up", "pull yourself together up", "pull yourself together" ]
pull yourself together
pull yourself together.
pull yourself together. pull yourself together up. pull yourself together up. pull yourself together.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pull yourself together', 'pull yourself together', 'pull yourself together up', 'pull yourself together up', 'pull yourself together']
[ "one to the other", "one to the other", "want the other", "one to the other", "want the other" ]
one to the other
one to the other.
one to the other. want the other. one to the other. want the other.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one to the other', 'one to the other', 'want the other', 'one to the other', 'want the other']
[ "this may have been a special ceremony to honor a son of the royal house of wessex", "this may have been a special ceremony to honor a son of the royal house of wessex", "this may have been a special ceremony to honor a son of the royal host of wessex", "this may have been a special ceremony to honor a son of the royal hose of wessex", "this may have been a special ceremony to honor a son of the royal host of wasek is" ]
this may have been a special ceremony to honor a son of the royal house of wessex
this may have been a special ceremony to honor a son of the royal house of wessex.
this may have been a special ceremony to honor a son of the royal house of wessex. this may have been a special ceremony to honor a son of the royal host of wessex. this may have been a special ceremony to honor a son of the royal hose of wessex. this may have been a special ceremony to honor a son of the royal host of wasek is.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this may have been a special ceremony to honor a son of the royal house of wessex', 'this may have been a special ceremony to honor a son of the royal house of wessex', 'this may have been a special ceremony to honor a son of the royal host of wessex', 'this may have been a special ceremony to honor a son of the royal hose of wessex', 'this may have been a special ceremony to honor a son of the royal host of wasek is']
[ "good range of soaps", "good range of soaps", "a good range of shops", "good range of shops", "good range of shops" ]
good range of shops
good range of soaps.
good range of soaps. a good range of shops. good range of shops. good range of shops.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['good range of soaps', 'good range of soaps', 'a good range of shops', 'good range of shops', 'good range of shops']
[ "music programs and so on", "music programs and so on", "music programs and so on", "music programs and so on", "music programs and so on" ]
music programs and so on
music programs and so on.
music programs and so on. music programs and so on. music programs and so on. music programs and so on.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['music programs and so on', 'music programs and so on', 'music programs and so on', 'music programs and so on', 'music programs and so on']
[ "the chat will style is very big on university campuses", "the chat wheel style is very big on university campuses", "the chatwell style is very big on university campuses", "the chat world is style is very big on university campuses", "the chatwell is style is very big on university campuses" ]
the jack wills style was very big on university campuses
the chat will style is very big on university campuses.
the chat wheel style is very big on university campuses. the chatwell style is very big on university campuses. the chat world is style is very big on university campuses. the chatwell is style is very big on university campuses.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the chat will style is very big on university campuses', 'the chat wheel style is very big on university campuses', 'the chatwell style is very big on university campuses', 'the chat world is style is very big on university campuses', 'the chatwell is style is very big on university campuses']
[ "and therefore everything is good value for money", "and therefore everything is good value for money", "and therefore everything is good value for money", "and therefore everything is good value for money", "and therefore everything is good for money" ]
and therefore everything is good value for money
and therefore everything is good value for money.
and therefore everything is good value for money. and therefore everything is good value for money. and therefore everything is good value for money. and therefore everything is good for money.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and therefore everything is good value for money', 'and therefore everything is good value for money', 'and therefore everything is good value for money', 'and therefore everything is good value for money', 'and therefore everything is good for money']
[ "if you drink three of these lattes every day for a whole year", "if you drink three of these lattes every day for a whole year", "if you drink three of these lattes every day for a whole year", "if you drink three of these lattes every day for a whole year .", "if you drink three of these lattes every day for a whole year" ]
if you drink three of these lattes every day for a whole year
if you drink three of these lattes every day for a whole year.
if you drink three of these lattes every day for a whole year. if you drink three of these lattes every day for a whole year. if you drink three of these lattes every day for a whole year .. if you drink three of these lattes every day for a whole year.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if you drink three of these lattes every day for a whole year', 'if you drink three of these lattes every day for a whole year', 'if you drink three of these lattes every day for a whole year', 'if you drink three of these lattes every day for a whole year .', 'if you drink three of these lattes every day for a whole year']
[ "in the last decade", "in the last decade", "in the last decade for", "in the last decade", "the last decade" ]
in the last decade
in the last decade.
in the last decade. in the last decade for. in the last decade. the last decade.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the last decade', 'in the last decade', 'in the last decade for', 'in the last decade', 'the last decade']
[ "it would be nice if you could", "it would be nice if you could", "it would be nice if you could", "it would be nice if you could", "it would be nice if you could" ]
it would be nice if you could
it would be nice if you could.
it would be nice if you could. it would be nice if you could. it would be nice if you could. it would be nice if you could.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it would be nice if you could', 'it would be nice if you could', 'it would be nice if you could', 'it would be nice if you could', 'it would be nice if you could']
[ "there are a bit more down to earth", "there are a bit more down to earth", "they are a bit more down to earth", "they are a bit more down to earth", "there a bit more down to earth" ]
they were a bit more down to earth
there are a bit more down to earth.
there are a bit more down to earth. they are a bit more down to earth. they are a bit more down to earth. there a bit more down to earth.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are a bit more down to earth', 'there are a bit more down to earth', 'they are a bit more down to earth', 'they are a bit more down to earth', 'there a bit more down to earth']
[ "no one to talk to", "no one to talk to", "no one to talk to", "no one to talk to", "no one to talk to" ]
no one to talk to
no one to talk to.
no one to talk to. no one to talk to. no one to talk to. no one to talk to.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no one to talk to', 'no one to talk to', 'no one to talk to', 'no one to talk to', 'no one to talk to']
[ "it is the most transformative", "it is the most transformative", "but it is the most transformative", "but it is the most transformative", "but it is the most transformative" ]
it is the most transformative
it is the most transformative.
it is the most transformative. but it is the most transformative. but it is the most transformative. but it is the most transformative.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the most transformative', 'it is the most transformative', 'but it is the most transformative', 'but it is the most transformative', 'but it is the most transformative']
[ "and it was almost illegible because of the it was all water stained and the address had run and everything", "and it was almost illegible because it was all water stained and the address had run and everything", "and it was almost illegible because of the it was all water stained and the address had run and everything", "and it was almost illegible because of the it was all water stained and the address and run and everything", "and it was almost illegible because of the it was all water stained and the address had run and everything" ]
and it was almost illegible because it was all water stained and the address had run and everything
and it was almost illegible because of the it was all water stained and the address had run and everything.
and it was almost illegible because it was all water stained and the address had run and everything. and it was almost illegible because of the it was all water stained and the address had run and everything. and it was almost illegible because of the it was all water stained and the address and run and everything. and it was almost illegible because of the it was all water stained and the address had run and everything.
train_lrs2
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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 almost illegible because of the it was all water stained and the address had run and everything', 'and it was almost illegible because it was all water stained and the address had run and everything', 'and it was almost illegible because of the it was all water stained and the address had run and everything', 'and it was almost illegible because of the it was all water stained and the address and run and everything', 'and it was almost illegible because of the it was all water stained and the address had run and everything']
[ "the president of the royal society the", "the president of the royal society", "president of the royal society the", "the president of the royal society", "president of the royal society" ]
the president of the royal society
the president of the royal society the.
the president of the royal society. president of the royal society the. the president of the royal society. president of the royal society.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the president of the royal society the', 'the president of the royal society', 'president of the royal society the', 'the president of the royal society', 'president of the royal society']
[ "pretty things in the market", "pretty things in the market", "pretty things in the market", "pretty things in the barget", "pretty things in the market" ]
pretty things and the bargain
pretty things in the market.
pretty things in the market. pretty things in the market. pretty things in the barget. pretty things in the market.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pretty things in the market', 'pretty things in the market', 'pretty things in the market', 'pretty things in the barget', 'pretty things in the market']
[ "but i like that", "but i like that this", "but i like that", "but i like that this", "i like that" ]
but i like that
but i like that.
but i like that this. but i like that. but i like that this. i like that.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but i like that', 'but i like that this', 'but i like that', 'but i like that this', 'i like that']
[ "but all of a sudden", "but all of a sudden", "but all of a sudden .", "but all of a sudden but .", "but all of a sudden ." ]
all of a sudden
but all of a sudden.
but all of a sudden. but all of a sudden .. but all of a sudden but .. but all of a sudden ..
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but all of a sudden', 'but all of a sudden', 'but all of a sudden .', 'but all of a sudden but .', 'but all of a sudden .']
[ "how can i put it", "how can i put it", "how can i put it", "how can i put it", "how can i put it" ]
how can i put it
how can i put it.
how can i put it. how can i put it. how can i put it. how can i put it.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['how can i put it', 'how can i put it', 'how can i put it', 'how can i put it', 'how can i put it']
[ "look at those videos", "we look at those videos", "look at those videos", "we look at those videos", "me look at those videos" ]
looking at those videos
look at those videos.
we look at those videos. look at those videos. we look at those videos. me look at those videos.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['look at those videos', 'we look at those videos', 'look at those videos', 'we look at those videos', 'me look at those videos']
[ "what do you think", "and what do you think", "then what do you think", "and what do you think", "so what do you think" ]
what do you think
what do you think.
and what do you think. then what do you think. and what do you think. so what do you think.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what do you think', 'and what do you think', 'then what do you think', 'and what do you think', 'so what do you think']
[ "i think the sort of sanctions you could look at are financial sanctions", "think the sort of sanctions you could look at are financial sanctions", "the sort of sanctions you could look at our financial sanctions", "the sort of sanctions you could look at are financial sanctions", "the sort of sanctions you could look at financial sanctions" ]
the sort of sanctions you could look at are financial sanctions
i think the sort of sanctions you could look at are financial sanctions.
think the sort of sanctions you could look at are financial sanctions. the sort of sanctions you could look at our financial sanctions. the sort of sanctions you could look at are financial sanctions. the sort of sanctions you could look at financial sanctions.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i think the sort of sanctions you could look at are financial sanctions', 'think the sort of sanctions you could look at are financial sanctions', 'the sort of sanctions you could look at our financial sanctions', 'the sort of sanctions you could look at are financial sanctions', 'the sort of sanctions you could look at financial sanctions']
[ "because they are repeatedly surveyed by .", "because they are repeatedly surveyed", "because they are repeatedly surveyed by", "because they are not repeatedly surveyed", "because they are repeatedly surveyed by" ]
they are repeatedly surveyed
because they are repeatedly surveyed by ..
because they are repeatedly surveyed. because they are repeatedly surveyed by. because they are not repeatedly surveyed. because they are repeatedly surveyed by.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because they are repeatedly surveyed by .', 'because they are repeatedly surveyed', 'because they are repeatedly surveyed by', 'because they are not repeatedly surveyed', 'because they are repeatedly surveyed by']
[ "i am not too bad", "i am not too bad", "do i am not too bad", "and i am not too bad", "do i am not too bad" ]
i am not too bad
i am not too bad.
i am not too bad. do i am not too bad. and i am not too bad. do i am not too bad.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am not too bad', 'i am not too bad', 'do i am not too bad', 'and i am not too bad', 'do i am not too bad']
[ "a bunch of dodgy old fools obsessed with beating the germans", "a bunch of dodgy old fools obsessed with beating the germans", "a bunch of dongery old fools obsessed with beating the germans", "a bunch of dongery old fools obsessed with beating the germans", "a bunch of daughtery old fools obsessed with beating the germans" ]
a bunch of doddery old fools obsessed with beating the germans
a bunch of dodgy old fools obsessed with beating the germans.
a bunch of dodgy old fools obsessed with beating the germans. a bunch of dongery old fools obsessed with beating the germans. a bunch of dongery old fools obsessed with beating the germans. a bunch of daughtery old fools obsessed with beating the germans.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a bunch of dodgy old fools obsessed with beating the germans', 'a bunch of dodgy old fools obsessed with beating the germans', 'a bunch of dongery old fools obsessed with beating the germans', 'a bunch of dongery old fools obsessed with beating the germans', 'a bunch of daughtery old fools obsessed with beating the germans']