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[ "now things have been getting a little out of control up here over the past few weeks so", "now things have been getting a little out of control up here over the past few weeks", "now things have been getting a little out of control up here over the past few weeks so", "now things have been getting a little o...
things have within getting a little out of control up here in the last few weeks
now things have been getting a little out of control up here over the past few weeks so.
now things have been getting a little out of control up here over the past few weeks. now things have been getting a little out of control up here over the past few weeks so. now things have been getting a little out of control up here over the past few weeks so. now things have been getting a little out of control up ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['now things have been getting a little out of control up here over the past few weeks so', 'now things have been getting a little out of control up here over the past few weeks', 'now things have been getting a...
[ "i guess i am a bit vigorous", "i guess i am a bit vigorous", "i guess i am a bit rigorous", "i guess i am a bit vigorous", "i guess i am a bit vigorous" ]
i guess i am a bit vigorous
i guess i am a bit vigorous.
i guess i am a bit vigorous. i guess i am a bit rigorous. i guess i am a bit vigorous. i guess i am a bit vigorous.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i guess i am a bit vigorous', 'i guess i am a bit vigorous', 'i guess i am a bit rigorous', 'i guess i am a bit vigorous', 'i guess i am a bit vigorous']
[ "by the end of the program", "by the end of the program", "by the end of the program", "by the end of the program", "by the end of the program" ]
by the end of the program
by the end of the program.
by the end of the program. by the end of the program. by the end of the program. by the end of the program.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by the end of the program', 'by the end of the program', 'by the end of the program', 'by the end of the program', 'by the end of the program']
[ "so i gave up the juggling and i became a comic", "so i gave up the juggling and i became a comic", "game so i gave up the juggling and i became a comic", "so i gave up the juggling and i became a comic", "so i gave up the juggling and i became a comic" ]
so i gave up the juggling and became a comic
so i gave up the juggling and i became a comic.
so i gave up the juggling and i became a comic. game so i gave up the juggling and i became a comic. so i gave up the juggling and i became a comic. so i gave up the juggling and i became a comic.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so i gave up the juggling and i became a comic', 'so i gave up the juggling and i became a comic', 'game so i gave up the juggling and i became a comic', 'so i gave up the juggling and i became a comic', 'so i...
[ "but he really quickly proved that he was more than capable of giving it a go and i am really impressed", "but he really quickly proved that he was more than capable of giving it a go and i am really impressed", "but he really quickly proved that he was more than capable of giving it a go and i am really impres...
but he really quickly proved he was more than capable of giving it a go and i am really impressed
but he really quickly proved that he was more than capable of giving it a go and i am really impressed.
but he really quickly proved that he was more than capable of giving it a go and i am really impressed. but he really quickly proved that he was more than capable of giving it a go and i am really impressed. but he really quickly proved that he was more than capable of giving it a go and i am really impressed. but he r...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but he really quickly proved that he was more than capable of giving it a go and i am really impressed', 'but he really quickly proved that he was more than capable of giving it a go and i am really impressed'...
[ "together with this colleague alfred vale", "together with this colleague alfred veil", "together with this colleague alfred vail", "together with his colleague alfred veil", "together with his colleague alfred vale" ]
together with his colleague alfred vale
together with this colleague alfred vale.
together with this colleague alfred veil. together with this colleague alfred vail. together with his colleague alfred veil. together with his colleague alfred vale.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['together with this colleague alfred vale', 'together with this colleague alfred veil', 'together with this colleague alfred vail', 'together with his colleague alfred veil', 'together with his colleague alfred...
[ "this is the last one for me that it is time for me to go and start enjoying life", "this is the last one for me that it is time for me to go and start enjoying life", "this is the last one for me that it is time for me to go and start enjoying life", "this is the last one for me that it is time for me to go ...
this is the last one for me and then it is time for me to go and start enjoying life
this is the last one for me that it is time for me to go and start enjoying life.
this is the last one for me that it is time for me to go and start enjoying life. this is the last one for me that it is time for me to go and start enjoying life. this is the last one for me that it is time for me to go and start enjoying life. this is the last one for me then it is time for me to go and start enjoyin...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is the last one for me that it is time for me to go and start enjoying life', 'this is the last one for me that it is time for me to go and start enjoying life', 'this is the last one for me that it is ti...
[ "is the bargain hunts better", "is the bargain hunts better i", "is the bargain hunt spirit", "is the bargain hunt is better", "is the bargain hunts better" ]
is the bargain hunt spirit
is the bargain hunts better.
is the bargain hunts better i. is the bargain hunt spirit. is the bargain hunt is better. is the bargain hunts better.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is the bargain hunts better', 'is the bargain hunts better i', 'is the bargain hunt spirit', 'is the bargain hunt is better', 'is the bargain hunts better']
[ "if you have got very young children", "if you got very young children", "if you have got very young children that is it", "if you have got very young children next time", "if you have got very young children right" ]
if you have got very young children
if you have got very young children.
if you got very young children. if you have got very young children that is it. if you have got very young children next time. if you have got very young children right.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if you have got very young children', 'if you got very young children', 'if you have got very young children that is it', 'if you have got very young children next time', 'if you have got very young children r...
[ "they set up to retailers to ensure they have the required security procedures in place", "they set it up to retailers to ensure they have the required security procedures in place", "they set it up to retailers to ensure they have the required security procedures in place to proceed", "they set it up to reta...
they say it is up to retailers to ensure they have the required security procedures in place to
they set up to retailers to ensure they have the required security procedures in place.
they set it up to retailers to ensure they have the required security procedures in place. they set it up to retailers to ensure they have the required security procedures in place to proceed. they set it up to retailers to ensure that they have the required security procedures in place to. they set it up to retailers ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they set up to retailers to ensure they have the required security procedures in place', 'they set it up to retailers to ensure they have the required security procedures in place', 'they set it up to retailer...
[ "without you in her life", "without you in her life", "without you in her life without .", "without you in her life without", "without you in her life" ]
without you in her life
without you in her life.
without you in her life. without you in her life without .. without you in her life without. without you in her life.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['without you in her life', 'without you in her life', 'without you in her life without .', 'without you in her life without', 'without you in her life']
[ "and so and one of them", "and so one of them", "and so one of them", "and one of them", "so and one of them" ]
and one of them
and so and one of them.
and so one of them. and so one of them. and one of them. so and one of them.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and so and one of them', 'and so one of them', 'and so one of them', 'and one of them', 'so and one of them']
[ "is just so original", "it is just so original", "it is just so original", "is just so original in", "is just so original" ]
it is just so original
is just so original.
it is just so original. it is just so original. is just so original in. is just so original.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is just so original', 'it is just so original', 'it is just so original', 'is just so original in', 'is just so original']
[ "and finding out how an ancient woodland is helping injured troops on the road to recovery", "and finding out how an ancient woodland is helping injured troops on the road to recovery", "i am finding out how an ancient woodland is helping injured troops on the road to recovery", "finding out how an ancient wo...
and finding out how an ancient woodland is helping injured troops on the road to recovery
and finding out how an ancient woodland is helping injured troops on the road to recovery.
and finding out how an ancient woodland is helping injured troops on the road to recovery. i am finding out how an ancient woodland is helping injured troops on the road to recovery. finding out how an ancient woodland is helping injured troops on the road to recovery. and finding out how ancient woodland is helping in...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and finding out how an ancient woodland is helping injured troops on the road to recovery', 'and finding out how an ancient woodland is helping injured troops on the road to recovery', 'i am finding out how an...
[ "because we are not as warm as other mediterranean truffle producing countries", "because we are not as warm as other mediterranean traffic producing countries", "because we are not as warm as other mediterranean truffle producing countries", "because we are not as warm as our other mediterranean truffle prod...
because we are not as warm as our other mediterranean truffle producing countries
because we are not as warm as other mediterranean truffle producing countries.
because we are not as warm as other mediterranean traffic producing countries. because we are not as warm as other mediterranean truffle producing countries. because we are not as warm as our other mediterranean truffle producing countries. because we are not as warm as other mediterranean travel producing countries.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because we are not as warm as other mediterranean truffle producing countries', 'because we are not as warm as other mediterranean traffic producing countries', 'because we are not as warm as other mediterrane...
[ "i had a power cut", "we had a power cut", "had a power cut", "i have had a power cut", "i had a power cuts" ]
we had a power cut
i had a power cut.
we had a power cut. had a power cut. i have had a power cut. i had a power cuts.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i had a power cut', 'we had a power cut', 'had a power cut', 'i have had a power cut', 'i had a power cuts']
[ "waiting for flog it to go", "waiting for flog it", "waiting for flog it to", "waiting for flog it to come", "waiting for foggy to" ]
waiting for flog it
waiting for flog it to go.
waiting for flog it. waiting for flog it to. waiting for flog it to come. waiting for foggy to.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['waiting for flog it to go', 'waiting for flog it', 'waiting for flog it to', 'waiting for flog it to come', 'waiting for foggy to']
[ "it finally exploded the myth that maps can ever be one hundred percent accurate", "it finally exploded the myth that maps can ever be one hundred percent accurate", "it finally exploded the myth that maps can ever be one hundred percent accurate", "it finally exploded the myth that maps can ever be one hundr...
it finally exploded the myth that maps can ever be one hundred accurate
it finally exploded the myth that maps can ever be one hundred percent accurate.
it finally exploded the myth that maps can ever be one hundred percent accurate. it finally exploded the myth that maps can ever be one hundred percent accurate. it finally exploded the myth that maps can ever be one hundred percent accurate. it finally exploded the myth that maps can ever be one hundred percent accura...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it finally exploded the myth that maps can ever be one hundred percent accurate', 'it finally exploded the myth that maps can ever be one hundred percent accurate', 'it finally exploded the myth that maps can ...
[ "it was my fault", "it was my fault", "it was my fault", "it was my fault", "it was my fault" ]
it was my fault
it was my fault.
it was my fault. it was my fault. it was my fault. it was my fault.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was my fault', 'it was my fault', 'it was my fault', 'it was my fault', 'it was my fault']
[ "how to recreate it", "and how to recreate it", "how to recreate it", "how to recreate it", "how to recreate it" ]
how to recreate it
how to recreate it.
and how to recreate it. how to recreate it. how to recreate it. how to recreate it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['how to recreate it', 'and how to recreate it', 'how to recreate it', 'how to recreate it', 'how to recreate it']
[ "it is the big one it is lifetime achievement", "but it is the big one it is lifetime achievement", "it is the big one it is lifetime achievement", "but it is the big one it is lifetime achievement", "it is the big one it is lifetime achievement" ]
it is the big one it is lifetime achievement
it is the big one it is lifetime achievement.
but it is the big one it is lifetime achievement. it is the big one it is lifetime achievement. but it is the big one it is lifetime achievement. it is the big one it is lifetime achievement.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the big one it is lifetime achievement', 'but it is the big one it is lifetime achievement', 'it is the big one it is lifetime achievement', 'but it is the big one it is lifetime achievement', 'it is the...
[ "you would have to have been quite a wealthy person", "you would not have to have been quite a wealthy person", "as you would have to have been quite a wealthy person", "you would not have to have been quite a wealthy person", "you would have to have been quite a wealthy person" ]
you would have had to have been quite a wealthy person
you would have to have been quite a wealthy person.
you would not have to have been quite a wealthy person. as you would have to have been quite a wealthy person. you would not have to have been quite a wealthy person. you would have to have been quite a wealthy person.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you would have to have been quite a wealthy person', 'you would not have to have been quite a wealthy person', 'as you would have to have been quite a wealthy person', 'you would not have to have been quite a ...
[ "but in this case they hit that barrier of warm air and then abend back down to the earth", "but in this case they hit that barrier of war mare and then abend back down to the earth", "but in this case they hit that barrier of war mayor and then abend back down to the earth", "but in this case they hit that b...
but in this case they hit that barrier of warm air and then are bent back down to the
but in this case they hit that barrier of warm air and then abend back down to the earth.
but in this case they hit that barrier of war mare and then abend back down to the earth. but in this case they hit that barrier of war mayor and then abend back down to the earth. but in this case they hit that barrier of warm air and then aband back down to the earth. but in this case they hit that barrier of warm ai...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but in this case they hit that barrier of warm air and then abend back down to the earth', 'but in this case they hit that barrier of war mare and then abend back down to the earth', 'but in this case they hit...
[ "after all these long years", "and after all these long years .", "and after all these long years you", "and after all these long years", "and after all these long years" ]
after all these long years
after all these long years.
and after all these long years .. and after all these long years you. and after all these long years. and after all these long years.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after all these long years', 'and after all these long years .', 'and after all these long years you', 'and after all these long years', 'and after all these long years']
[ "not much million long hours", "not much money in long hours", "not much million long hours", "not much money and long hours", "not much money in long hours" ]
not much money and long hours
not much million long hours.
not much money in long hours. not much million long hours. not much money and long hours. not much money in long hours.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not much million long hours', 'not much money in long hours', 'not much million long hours', 'not much money and long hours', 'not much money in long hours']
[ "do not wait for the mues to arrive", "do not wait for the mues to arrive", "do not wait for the muse to arrive", "do not wait for the muse to arrive", "but do not wait for the muse to arrive" ]
do not wait for the muse to arrive
do not wait for the mues to arrive.
do not wait for the mues to arrive. do not wait for the muse to arrive. do not wait for the muse to arrive. but do not wait for the muse to arrive.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do not wait for the mues to arrive', 'do not wait for the mues to arrive', 'do not wait for the muse to arrive', 'do not wait for the muse to arrive', 'but do not wait for the muse to arrive']
[ "we have a rather over the bathroom", "we have a rather old about that home", "we have a rather old bastard home", "we have a rather old bathroom", "we have a rather over about at home" ]
we have a rather old bath at home
we have a rather over the bathroom.
we have a rather old about that home. we have a rather old bastard home. we have a rather old bathroom. we have a rather over about at home.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we have a rather over the bathroom', 'we have a rather old about that home', 'we have a rather old bastard home', 'we have a rather old bathroom', 'we have a rather over about at home']
[ "but why do not we find out", "but why do not we find out", "but why do not we find out", "but why do not we find out", "but why do not we find out" ]
but why do not we find out
but why do not we find out.
but why do not we find out. but why do not we find out. but why do not we find out. but why do not we find out.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but why do not we find out', 'but why do not we find out', 'but why do not we find out', 'but why do not we find out', 'but why do not we find out']
[ "still people do move here because of the lovely countryside", "still people do move here because of the lovely countryside", "still people do move here because of the lovely countryside and", "still people do move here because of the lovely countryside end", "still people do move here because of the lovely...
people move here because of the lovely countryside
still people do move here because of the lovely countryside.
still people do move here because of the lovely countryside. still people do move here because of the lovely countryside and. still people do move here because of the lovely countryside end. still people do move here because of the lovely countryside then.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['still people do move here because of the lovely countryside', 'still people do move here because of the lovely countryside', 'still people do move here because of the lovely countryside and', 'still people do ...
[ "now the majority of them are read indoors", "and now the majority of them are red in doors", "now the majority of them are red in doors", "and now the majority of them are read indoors", "and now the majority of them are read in doors" ]
the majority of them are reared indoors
now the majority of them are read indoors.
and now the majority of them are red in doors. now the majority of them are red in doors. and now the majority of them are read indoors. and now the majority of them are read in doors.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['now the majority of them are read indoors', 'and now the majority of them are red in doors', 'now the majority of them are red in doors', 'and now the majority of them are read indoors', 'and now the majority ...
[ "there are so many train collectors out there and i know a lot of them would love this as part of it", "there are so many train collectors out there and i know a lot of them would love this as part of it", "there are so many train collectors out there and i know a lot of them would love this as part of that", ...
there are so many treen collectors out there and i know a lot of them would love this as part of
there are so many train collectors out there and i know a lot of them would love this as part of it.
there are so many train collectors out there and i know a lot of them would love this as part of it. there are so many train collectors out there and i know a lot of them would love this as part of that. there are so many train collectors out there and i know a lot of them would love this as part of that. there are so ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are so many train collectors out there and i know a lot of them would love this as part of it', 'there are so many train collectors out there and i know a lot of them would love this as part of it', 'the...
[ "so it is all the money she is banked", "so is all the money she is banked", "so is all the money she is banked", "so as all the money she is banked", "so it is all the money she is banked" ]
so is all the money she is banked
so it is all the money she is banked.
so is all the money she is banked. so is all the money she is banked. so as all the money she is banked. so it is all the money she is banked.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is all the money she is banked', 'so is all the money she is banked', 'so is all the money she is banked', 'so as all the money she is banked', 'so it is all the money she is banked']
[ "so instead of a chicken burrito", "so instead of a chicken burrito", "instead of a chicken burrito", "instead of a chicken burrito", "instead of a chicken burrito" ]
instead of a chicken burrito
so instead of a chicken burrito.
so instead of a chicken burrito. instead of a chicken burrito. instead of a chicken burrito. instead of a chicken burrito.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so instead of a chicken burrito', 'so instead of a chicken burrito', 'instead of a chicken burrito', 'instead of a chicken burrito', 'instead of a chicken burrito']
[ "pointing a trapped security guard out of a gas filled building is quite heroic", "pointing a trap security guard out of a gas filled building is quite heroic", "pointing a trapped security guard out of a gasfield building is quite heroic", "pointing a trapped security guard out of a gas filled building is qu...
pulling a trapped security guard out of a gas filled building is quite heroic
pointing a trapped security guard out of a gas filled building is quite heroic.
pointing a trap security guard out of a gas filled building is quite heroic. pointing a trapped security guard out of a gasfield building is quite heroic. pointing a trapped security guard out of a gas filled building is quite heroic. putting a trapped security guard out of a gas filled building is quite heroic.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pointing a trapped security guard out of a gas filled building is quite heroic', 'pointing a trap security guard out of a gas filled building is quite heroic', 'pointing a trapped security guard out of a gasfi...
[ "so in today is program we will", "so in today is program we .", "so in today is program we", "so in today is program we have", "so in today is program we" ]
so in today is program
so in today is program we will.
so in today is program we .. so in today is program we. so in today is program we have. so in today is program we.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so in today is program we will', 'so in today is program we .', 'so in today is program we', 'so in today is program we have', 'so in today is program we']
[ "having previously born eight children to her first husband", "having previously born eight children to her first husband", "having previously borne eight children to her first husband", "having previously borne eight children to her first husband", "having previously born eight children to her first husban...
having previously borne eight children to her first husband
having previously born eight children to her first husband.
having previously born eight children to her first husband. having previously borne eight children to her first husband. having previously borne eight children to her first husband. having previously born eight children to her first husband.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['having previously born eight children to her first husband', 'having previously born eight children to her first husband', 'having previously borne eight children to her first husband', 'having previously born...
[ "and that does not make sense to divert into orlando or miami which", "and that does not make sense to divert into orlando or miami which", "and that does not make sense to divert into orlando or miami which", "and that does not make sense to divert into orlando and miami which", "and that does not make sen...
and that does not make sense to divert into orlando or miami which
and that does not make sense to divert into orlando or miami which.
and that does not make sense to divert into orlando or miami which. and that does not make sense to divert into orlando or miami which. and that does not make sense to divert into orlando and miami which. and that does not make sense to divert into orlando and miami which.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that does not make sense to divert into orlando or miami which', 'and that does not make sense to divert into orlando or miami which', 'and that does not make sense to divert into orlando or miami which', ...
[ "we do not want anybody to come into it", "that we do not want anybody to come into it", "we do not want anybody to come into it", "where we do not want anybody to come into it", "because we do not want anybody to come into it" ]
we do not want anybody to come into it
we do not want anybody to come into it.
that we do not want anybody to come into it. we do not want anybody to come into it. where we do not want anybody to come into it. because we do not want anybody to come into it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we do not want anybody to come into it', 'that we do not want anybody to come into it', 'we do not want anybody to come into it', 'where we do not want anybody to come into it', 'because we do not want anybody...
[ "for the audience at home", "for the audience at home", "for the audience at the time", "for the audience", "for the audience at" ]
for the audience at home
for the audience at home.
for the audience at home. for the audience at the time. for the audience. for the audience at.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the audience at home', 'for the audience at home', 'for the audience at the time', 'for the audience', 'for the audience at']
[ "through either terms in a lease", "through either terms in the lease", "through either turns in a lease", "that through either terms in a lease", "at through either terms in a lease" ]
through either terms in a lease
through either terms in a lease.
through either terms in the lease. through either turns in a lease. that through either terms in a lease. at through either terms in a lease.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['through either terms in a lease', 'through either terms in the lease', 'through either turns in a lease', 'that through either terms in a lease', 'at through either terms in a lease']
[ "thank you very much indeed yes", "thank you very much indeed yes", "thank you very much indeed", "thank you very much indeed yes", "thank you very much indeed" ]
thank you very much indeed
thank you very much indeed yes.
thank you very much indeed yes. thank you very much indeed. thank you very much indeed yes. thank you very much indeed.
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 indeed yes', 'thank you very much indeed yes', 'thank you very much indeed', 'thank you very much indeed yes', 'thank you very much indeed']
[ "the humble shepherd is hut is being rescued", "the humble shepherd is hut is being rescued", "the humble shepherd is heart is being rescued", "the humble shepherd is hut is being rescued", "the humble shepherd is huts is being rescued" ]
the humble shepherd is hut is being rescued
the humble shepherd is hut is being rescued.
the humble shepherd is hut is being rescued. the humble shepherd is heart is being rescued. the humble shepherd is hut is being rescued. the humble shepherd is huts is being rescued.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the humble shepherd is hut is being rescued', 'the humble shepherd is hut is being rescued', 'the humble shepherd is heart is being rescued', 'the humble shepherd is hut is being rescued', 'the humble shepherd...
[ "and one last thing", "and one last thing", "and one last thing", "and well last thing", "and we are not saying" ]
and one last thing
and one last thing.
and one last thing. and one last thing. and well last thing. and we are not saying.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and one last thing', 'and one last thing', 'and one last thing', 'and well last thing', 'and we are not saying']
[ "maybe five six seven holiday lets", "maybe five six seven holiday lets", "maybe five six seven holiday lets", "maybe five six seven holiday let us", "maybe five six seven holiday let us" ]
maybe five or six holiday lets
maybe five six seven holiday lets.
maybe five six seven holiday lets. maybe five six seven holiday lets. maybe five six seven holiday let us. maybe five six seven holiday let us.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['maybe five six seven holiday lets', 'maybe five six seven holiday lets', 'maybe five six seven holiday lets', 'maybe five six seven holiday let us', 'maybe five six seven holiday let us']
[ "i think it has got great potential and", "i think it has got great potential", "i think it has got great potential and a good", "i think it has got great potential and a great", "i think it has got great potential and ." ]
i think it has got great potential and
i think it has got great potential and.
i think it has got great potential. i think it has got great potential and a good. i think it has got great potential and a great. i think it has got great potential and ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i think it has got great potential and', 'i think it has got great potential', 'i think it has got great potential and a good', 'i think it has got great potential and a great', 'i think it has got great poten...
[ "it is all printed in the catalog", "it is all printed in the catalog", "it is all printed in the catalog", "it is all printed in the catalogs", "it is all printed in the catalog" ]
it is all printed in the catalog
it is all printed in the catalog.
it is all printed in the catalog. it is all printed in the catalog. it is all printed in the catalogs. it is all printed in the catalog.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is all printed in the catalog', 'it is all printed in the catalog', 'it is all printed in the catalog', 'it is all printed in the catalogs', 'it is all printed in the catalog']
[ "they could not tell which was the male and which was the female because", "they could not tell which was the male and which was the female", "they could not tell which was the male and which was a female because", "they could not tell which was the male and which was the female because", "they could not te...
they could not tell which was the male and which was the female
they could not tell which was the male and which was the female because.
they could not tell which was the male and which was the female. they could not tell which was the male and which was a female because. they could not tell which was the male and which was the female because. they could not tell which was the male and which was a female.
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 could not tell which was the male and which was the female because', 'they could not tell which was the male and which was the female', 'they could not tell which was the male and which was a female becau...
[ "but whichever way it goes", "but whichever way it goes", "but whichever way it goes", "but whichever way it goes .", "but whichever way it goes ." ]
but whichever way it goes
but whichever way it goes.
but whichever way it goes. but whichever way it goes. but whichever way it goes .. but whichever way it goes ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but whichever way it goes', 'but whichever way it goes', 'but whichever way it goes', 'but whichever way it goes .', 'but whichever way it goes .']
[ "we have a couple of good pattern ones in our sale", "we have a couple of good pattern ones in our sale so the", "we have a couple of good pattern ones in our sale so the", "we have a couple of good pattern ones in our sale so the", "we have a couple of good pattern ones in our sale" ]
we have a couple of good platinum ones in our sale
we have a couple of good pattern ones in our sale.
we have a couple of good pattern ones in our sale so the. we have a couple of good pattern ones in our sale so the. we have a couple of good pattern ones in our sale so the. we have a couple of good pattern ones in our sale.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we have a couple of good pattern ones in our sale', 'we have a couple of good pattern ones in our sale so the', 'we have a couple of good pattern ones in our sale so the', 'we have a couple of good pattern one...
[ "and my final thought", "and my final thought", "and my final thought", "and my final thought", "my final thought" ]
and my final thought
and my final thought.
and my final thought. and my final thought. and my final thought. my final thought.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and my final thought', 'and my final thought', 'and my final thought', 'and my final thought', 'my final thought']
[ "join us next time here to see if a new team of challenges will be just as successful", "join us next time here to see if a new team of challenges will be just as successful", "join us next time here to see if a new team of challengers will be just as successful", "join us next time here to see if a new team ...
join us next time here to see if a new team of challengers will be just as successful
join us next time here to see if a new team of challenges will be just as successful.
join us next time here to see if a new team of challenges will be just as successful. join us next time here to see if a new team of challengers will be just as successful. join us next time here to see if a new team of challengers will be just as successful. join us next time here to see if a new team of challenges wi...
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 here to see if a new team of challenges will be just as successful', 'join us next time here to see if a new team of challenges will be just as successful', 'join us next time here to see if ...
[ "he is working in the pub and", "he is working in the pub", "he is working in the pub and now", "he is working in the pub in here", "is working in the pub and" ]
he is working in the pub
he is working in the pub and.
he is working in the pub. he is working in the pub and now. he is working in the pub in here. is working in the pub and.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is working in the pub and', 'he is working in the pub', 'he is working in the pub and now', 'he is working in the pub in here', 'is working in the pub and']
[ "for the internet", "for the internet", "for the internet", "for the internet", "for the internet" ]
for the internet
for the internet.
for the internet. for the internet. for the internet. for the internet.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the internet', 'for the internet', 'for the internet', 'for the internet', 'for the internet']
[ "but there is only two things", "but there is only two things you know", "but there is only two things yeah", "but there is only two things", "but there is only two things you know" ]
but there were only two things
but there is only two things.
but there is only two things you know. but there is only two things yeah. but there is only two things. but there is only two things you know.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but there is only two things', 'but there is only two things you know', 'but there is only two things yeah', 'but there is only two things', 'but there is only two things you know']
[ "next week will be the pink district", "next week will be the pink district", "next week will be in the pink district", "next week will be in the pink district", "next week will be the pink district" ]
next week we will be in the peak district
next week will be the pink district.
next week will be the pink district. next week will be in the pink district. next week will be in the pink district. next week will be the pink district.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['next week will be the pink district', 'next week will be the pink district', 'next week will be in the pink district', 'next week will be in the pink district', 'next week will be the pink district']
[ "i like north korea", "i like north korea with", "i like north korea", "i like north korea with", "i like north korea with" ]
i like north korea
i like north korea.
i like north korea with. i like north korea. i like north korea with. i like north korea with.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i like north korea', 'i like north korea with', 'i like north korea', 'i like north korea with', 'i like north korea with']
[ "we did say beforehand but .", "we did say beforehand but", "oh he did say beforehand", "we did say beforehand but", "we did say beforehand" ]
you did say beforehand
we did say beforehand but ..
we did say beforehand but. oh he did say beforehand. we did say beforehand but. we did say beforehand.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we did say beforehand but .', 'we did say beforehand but', 'oh he did say beforehand', 'we did say beforehand but', 'we did say beforehand']
[ "a half air through the project", "a half air through the project", "a half air for the project", "a half year through the project", "half air through the project" ]
halfway through the project
a half air through the project.
a half air through the project. a half air for the project. a half year through the project. half air through the project.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a half air through the project', 'a half air through the project', 'a half air for the project', 'a half year through the project', 'half air through the project']
[ "this once again", "this once again", "once again", "once again", "once again" ]
this once again
this once again.
this once again. once again. once again. once again.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this once again', 'this once again', 'once again', 'once again', 'once again']
[ "this family need to be stopped in their tracks", "this family need to be stopped in their tracks", "this family need to be stopped on their tracks", "this family need to be stopped on their tracks", "this family needs to be stopped in their tracks" ]
this family need to be stopped in their tracks
this family need to be stopped in their tracks.
this family need to be stopped in their tracks. this family need to be stopped on their tracks. this family need to be stopped on their tracks. this family needs to be stopped in their tracks.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this family need to be stopped in their tracks', 'this family need to be stopped in their tracks', 'this family need to be stopped on their tracks', 'this family need to be stopped on their tracks', 'this fami...
[ "whereas labor will invest in the next generation is education and guarantee that word again", "whereas labor will invest in the next generation is education and guarantee that word again", "whereas labor will invest in the next generation is education and guarantee that word again", "whereas labor will inves...
whereas labor will invest in the next generation is education and guarantee that word again
whereas labor will invest in the next generation is education and guarantee that word again.
whereas labor will invest in the next generation is education and guarantee that word again. whereas labor will invest in the next generation is education and guarantee that word again. whereas labor will invest in the next generations education and guarantee that word again. whereas labor will invest in the next gener...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['whereas labor will invest in the next generation is education and guarantee that word again', 'whereas labor will invest in the next generation is education and guarantee that word again', 'whereas labor will ...
[ "there would have been maybe two or three operations", "and there would have been maybe two or three operations", "and there would have been maybe two or three operations", "there would have been maybe two or three operations", "then there would have been maybe two or three operations" ]
there would have been maybe two or three operations
there would have been maybe two or three operations.
and there would have been maybe two or three operations. and there would have been maybe two or three operations. there would have been maybe two or three operations. then there would have been maybe two or three operations.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there would have been maybe two or three operations', 'and there would have been maybe two or three operations', 'and there would have been maybe two or three operations', 'there would have been maybe two or t...
[ "each of our contenders will be pitting their specialist expertise and general knowledge against the clerks", "each of our contenders will be pitting their specialist expertise and general knowledge against the club", "each of our contenders will be pitting their specialist expertise and general knowledge again...
each of our contenders will be pitting their specialist expertise and general knowledge against the
each of our contenders will be pitting their specialist expertise and general knowledge against the clerks.
each of our contenders will be pitting their specialist expertise and general knowledge against the club. each of our contenders will be pitting their specialist expertise and general knowledge against the class. each of our contenders will be pitting their specialist expertise and general knowledge against the client....
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each of our contenders will be pitting their specialist expertise and general knowledge against the clerks', 'each of our contenders will be pitting their specialist expertise and general knowledge against the...
[ "you have a small opportunity to be a bit more creative", "you have a small opportunity to be a bit more creative", "you have a small opportunity to be a bit more creative", "you have a small opportunity to be a bit more creative", "you have a small opportunity to be more creative" ]
you have a small opportunity to be a bit more creative
you have a small opportunity to be a bit more creative.
you have a small opportunity to be a bit more creative. you have a small opportunity to be a bit more creative. you have a small opportunity to be a bit more creative. you have a small opportunity to be more creative.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you have a small opportunity to be a bit more creative', 'you have a small opportunity to be a bit more creative', 'you have a small opportunity to be a bit more creative', 'you have a small opportunity to be ...
[ "and they may not want to pay to them", "and they may not want to pay to the", "and they may not want to pay to", "and they may not want to pay to", "and they may not want to pay tooth" ]
and they may not want to pay two
and they may not want to pay to them.
and they may not want to pay to the. and they may not want to pay to. and they may not want to pay to. and they may not want to pay tooth.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and they may not want to pay to them', 'and they may not want to pay to the', 'and they may not want to pay to', 'and they may not want to pay to', 'and they may not want to pay tooth']
[ "let us pop back over to lucy", "let us pop back over to lucy", "let us pop back over to lucy", "let us pop back over to lucy", "lets pop back over to lucy" ]
let us pop back over to lucie
let us pop back over to lucy.
let us pop back over to lucy. let us pop back over to lucy. let us pop back over to lucy. lets pop back over to lucy.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us pop back over to lucy', 'let us pop back over to lucy', 'let us pop back over to lucy', 'let us pop back over to lucy', 'lets pop back over to lucy']
[ "a lot of people want to see things sold in their own lifetime", "a lot of people want to see things sold in their own lifetime", "a lot of people want to see things sold in their own lifetime", "a lot of people want to see things sold in their own lifestyle", "a lot of people want to see things sold in the...
a lot of people want to see things sold in their own lifetime
a lot of people want to see things sold in their own lifetime.
a lot of people want to see things sold in their own lifetime. a lot of people want to see things sold in their own lifetime. a lot of people want to see things sold in their own lifestyle. a lot of people want to see things sold in their own lifetime.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a lot of people want to see things sold in their own lifetime', 'a lot of people want to see things sold in their own lifetime', 'a lot of people want to see things sold in their own lifetime', 'a lot of peopl...
[ "with youngsters missing home", "with youngsters missing", "with youngsters missing home", "with youngsters missing", "with youngsters missing" ]
with youngsters missing home
with youngsters missing home.
with youngsters missing. with youngsters missing home. with youngsters missing. with youngsters missing.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with youngsters missing home', 'with youngsters missing', 'with youngsters missing home', 'with youngsters missing', 'with youngsters missing']
[ "and that was over thirty years ago", "and that was over thirty years ago", "that was over thirty years ago", "and that was over thirty years ago", "and that was over thirty years ago" ]
and that was over thirty years ago
and that was over thirty years ago.
and that was over thirty years ago. that was over thirty years ago. and that was over thirty years ago. and that was over thirty years ago.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that was over thirty years ago', 'and that was over thirty years ago', 'that was over thirty years ago', 'and that was over thirty years ago', 'and that was over thirty years ago']
[ "so it is just everything is in quite a large quantity", "so it is just everything is not quite a large quantity", "so it is just everything is in quite a large quantity", "so it is just everything is not quite a large quantity", "so everything is in quite a large quantity" ]
so it is just everything is in quite a large quantity
so it is just everything is in quite a large quantity.
so it is just everything is not quite a large quantity. so it is just everything is in quite a large quantity. so it is just everything is not quite a large quantity. so everything is in quite a large quantity.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is just everything is in quite a large quantity', 'so it is just everything is not quite a large quantity', 'so it is just everything is in quite a large quantity', 'so it is just everything is not quite...
[ "the equator is usually hot and the poles are cold", "the equator is usually hot and the poles are cold", "and the equator is usually hot and the poles are cold", "the equator is usually hot and the poles are cold", "and the equator is usually hot and the poles are cold" ]
the equator is usually hot and the poles are cold
the equator is usually hot and the poles are cold.
the equator is usually hot and the poles are cold. and the equator is usually hot and the poles are cold. the equator is usually hot and the poles are cold. and the equator is usually hot and the poles are cold.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the equator is usually hot and the poles are cold', 'the equator is usually hot and the poles are cold', 'and the equator is usually hot and the poles are cold', 'the equator is usually hot and the poles are c...
[ "it does not seem to be too much of a problem in a domestic herd", "it does not seem to be too much of a problem in a domestic hurt", "it does not seem to be too much of a problem in a domestic hurt", "it does not seem to be too much of a problem in a domestic herd", "it does not seem to be too much of a pr...
it does not seem to be too much of a problem in a domestic herd
it does not seem to be too much of a problem in a domestic herd.
it does not seem to be too much of a problem in a domestic hurt. it does not seem to be too much of a problem in a domestic hurt. it does not seem to be too much of a problem in a domestic herd. it does not seem to be too much of a problem in a domestic hurt.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it does not seem to be too much of a problem in a domestic herd', 'it does not seem to be too much of a problem in a domestic hurt', 'it does not seem to be too much of a problem in a domestic hurt', 'it does ...
[ "we have got the mint", "we got the mint", "we have got the mint", "we got the mint", "we have got the min" ]
we have got the mint
we have got the mint.
we got the mint. we have got the mint. we got the mint. we have got the min.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we have got the mint', 'we got the mint', 'we have got the mint', 'we got the mint', 'we have got the min']
[ "and inside was a dog called liker", "and inside was a dog called lyca", "and inside was a dog called liker", "and inside was a dog called leica", "and inside was a dog called lyca" ]
and inside was a dog called laika
and inside was a dog called liker.
and inside was a dog called lyca. and inside was a dog called liker. and inside was a dog called leica. and inside was a dog called lyca.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and inside was a dog called liker', 'and inside was a dog called lyca', 'and inside was a dog called liker', 'and inside was a dog called leica', 'and inside was a dog called lyca']
[ "i think when it comes to building robophrags in", "i think when it comes to building robofrags in", "i think when it comes to building robofrogs in", "i think when it comes to building robot frogs in", "i think when it comes to building robo frogs in" ]
i think when it comes to building robofrogs
i think when it comes to building robophrags in.
i think when it comes to building robofrags in. i think when it comes to building robofrogs in. i think when it comes to building robot frogs in. i think when it comes to building robo frogs in.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i think when it comes to building robophrags in', 'i think when it comes to building robofrags in', 'i think when it comes to building robofrogs in', 'i think when it comes to building robot frogs in', 'i thin...
[ "there is two more finalists to go", "there is two more finalists to go", "two more finalists to go", "two more finalists to go", "there is two more finalists to go" ]
two more finalists to go
there is two more finalists to go.
there is two more finalists to go. two more finalists to go. two more finalists to go. there is two more finalists to go.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is two more finalists to go', 'there is two more finalists to go', 'two more finalists to go', 'two more finalists to go', 'there is two more finalists to go']
[ "let me ask you for something", "let me ask you for something", "so let me ask you for something", "let me ask you for something", "let me ask you for something" ]
let me ask you for something
let me ask you for something.
let me ask you for something. so let me ask you for something. let me ask you for something. let me ask you for something.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let me ask you for something', 'let me ask you for something', 'so let me ask you for something', 'let me ask you for something', 'let me ask you for something']
[ "like in the day before they had highly refined plain flour", "like in the day before they had highly refined plain flour", "like in the day before they had highly refined plain flour", "like in the day before they had highly refined plain flower", "like in the day before they had highly refined plain flour...
like in the days before they had highly refined plain flour
like in the day before they had highly refined plain flour.
like in the day before they had highly refined plain flour. like in the day before they had highly refined plain flour. like in the day before they had highly refined plain flower. like in the day before they had highly refined plain flour.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like in the day before they had highly refined plain flour', 'like in the day before they had highly refined plain flour', 'like in the day before they had highly refined plain flour', 'like in the day before ...
[ "he is coming back tomorrow", "is coming back tomorrow", "he is coming back tomorrow", "he is coming back tomorrow", "coming back tomorrow" ]
he is coming back tomorrow
he is coming back tomorrow.
is coming back tomorrow. he is coming back tomorrow. he is coming back tomorrow. coming back tomorrow.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is coming back tomorrow', 'is coming back tomorrow', 'he is coming back tomorrow', 'he is coming back tomorrow', 'coming back tomorrow']
[ "i was educated in worcester", "i was educating in worcester", "i was educated in worcester", "i was educated in worcester", "i was educated in worcester" ]
i was educated in worcester
i was educated in worcester.
i was educating in worcester. i was educated in worcester. i was educated in worcester. i was educated in worcester.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i was educated in worcester', 'i was educating in worcester', 'i was educated in worcester', 'i was educated in worcester', 'i was educated in worcester']
[ "and they thought they were out of a job", "and they thought they were out of a job", "they thought they were out of a job", "they thought they were out of a job", "and they thought they were out of a job" ]
they thought they were out of a job
and they thought they were out of a job.
and they thought they were out of a job. they thought they were out of a job. they thought they were out of a job. and they thought they were out of a job.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and they thought they were out of a job', 'and they thought they were out of a job', 'they thought they were out of a job', 'they thought they were out of a job', 'and they thought they were out of a job']
[ "and that is what the long childhood is about", "and that is what the long childhood is about", "and that is what the long childhood is about", "that is what the long childhood is about", "and that is what the long childhood is about" ]
and that is what the long childhood is about
and that is what the long childhood is about.
and that is what the long childhood is about. and that is what the long childhood is about. that is what the long childhood is about. and that is what the long childhood is about.
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 that is what the long childhood is about', 'and that is what the long childhood is about', 'and that is what the long childhood is about', 'that is what the long childhood is about', 'and that is what the ...
[ "but it is wild birds", "but it is wild birds", "but it is wild birds wild", "but it is while birds walk", "but it is wild birds well" ]
but it is wild birds
but it is wild birds.
but it is wild birds. but it is wild birds wild. but it is while birds walk. but it is wild birds well.
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 it is wild birds', 'but it is wild birds', 'but it is wild birds wild', 'but it is while birds walk', 'but it is wild birds well']
[ "it has got no marks", "it has got no marks", "it has got no marks", "it has got no marks", "but it has got no marks" ]
it has got no marks
it has got no marks.
it has got no marks. it has got no marks. it has got no marks. but it has got no marks.
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 has got no marks', 'it has got no marks', 'it has got no marks', 'it has got no marks', 'but it has got no marks']
[ "as the day draws to close", "as the day draws to close", "as the day drops are closed", "as the day draws her close", "as the day draws for close" ]
as the day draws to a close
as the day draws to close.
as the day draws to close. as the day drops are closed. as the day draws her close. as the day draws for close.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the day draws to close', 'as the day draws to close', 'as the day drops are closed', 'as the day draws her close', 'as the day draws for close']
[ "that is jennifer", "that is ten of it", "that is ten of us", "that is ten of it", "that is the end of it" ]
that is the end of it
that is jennifer.
that is ten of it. that is ten of us. that is ten of it. that is the end of 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. ['that is jennifer', 'that is ten of it', 'that is ten of us', 'that is ten of it', 'that is the end of it']
[ "it will make you sleepy", "it will make you sleepy", "i will make you sleepy", "he will make you sleepy", "it will make you sleepy" ]
it will make you sleepy
it will make you sleepy.
it will make you sleepy. i will make you sleepy. he will make you sleepy. it will make you sleepy.
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 will make you sleepy', 'it will make you sleepy', 'i will make you sleepy', 'he will make you sleepy', 'it will make you sleepy']
[ "which has thirty percent more gravity than earth", "which has thirty percent more gravity than earth", "which has thirty percent more gravity than earth", "which has thirty per cent more gravity than earth", "which has thirty percent more gravity than earth" ]
which has thirty more gravity than earth
which has thirty percent more gravity than earth.
which has thirty percent more gravity than earth. which has thirty percent more gravity than earth. which has thirty per cent more gravity than earth. which has thirty percent more gravity than 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. ['which has thirty percent more gravity than earth', 'which has thirty percent more gravity than earth', 'which has thirty percent more gravity than earth', 'which has thirty per cent more gravity than earth', '...
[ "what am i talking about", "what am i talking about now", "but what am i talking about", "but what am i talking about", "but what am i talking about" ]
what am i talking about
what am i talking about.
what am i talking about now. but what am i talking about. but what am i talking about. but what am i talking about.
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 am i talking about', 'what am i talking about now', 'but what am i talking about', 'but what am i talking about', 'but what am i talking about']
[ "like the war in vietnam", "do not like the war in vietnam", "do not like the war in vietnam", "like the war in vietnam", "do not like the war in vietnam" ]
like the war in vietnam
like the war in vietnam.
do not like the war in vietnam. do not like the war in vietnam. like the war in vietnam. do not like the war in vietnam.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like the war in vietnam', 'do not like the war in vietnam', 'do not like the war in vietnam', 'like the war in vietnam', 'do not like the war in vietnam']
[ "the migrant crisis in calais and french strike action turned some roads into a lorry park", "the migrant crisis in calais in french strike action turned some roads into a lorry park", "the migrant crisis in calais and french strike action turns some roads into a lorry park", "the migrant crisis in calais in ...
the migrant crisis in calais and french strike action have turned some roads into a lorry park
the migrant crisis in calais and french strike action turned some roads into a lorry park.
the migrant crisis in calais in french strike action turned some roads into a lorry park. the migrant crisis in calais and french strike action turns some roads into a lorry park. the migrant crisis in calais in french strike action turns some roads into a lorry park. the migrant crisis in caley in french strike action...
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 migrant crisis in calais and french strike action turned some roads into a lorry park', 'the migrant crisis in calais in french strike action turned some roads into a lorry park', 'the migrant crisis in ca...
[ "some could end up being destroyed and i will be looking into that later", "some could end up being destroyed and i will be looking into that later", "some could end up being destroyed and i will be looking into that later", "some could end up being destroyed and i will be looking into that later", "some co...
some could end up being destroyed and i will be looking into that later
some could end up being destroyed and i will be looking into that later.
some could end up being destroyed and i will be looking into that later. some could end up being destroyed and i will be looking into that later. some could end up being destroyed and i will be looking into that later. some could end up being destroyed and i will be looking into that later.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some could end up being destroyed and i will be looking into that later', 'some could end up being destroyed and i will be looking into that later', 'some could end up being destroyed and i will be looking int...
[ "and it is so immediate", "and it is so immediate", "and it is so immediate", "and it is so immediate", "her and it is so immediate" ]
and it is so immediate
and it is so immediate.
and it is so immediate. and it is so immediate. and it is so immediate. her and it is so immediate.
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 is so immediate', 'and it is so immediate', 'and it is so immediate', 'and it is so immediate', 'her and it is so immediate']
[ "there was not any doubt in my mind that that is what i was going to end up doing that i was going to go on", "i there there was not any doubt in my mind that that is what i was going to end up doing that i was going to go on", "there was not any doubt in my mind that that is what i was going to end up doing th...
there was not any doubt in my mind that is what i was going to end up doing that i was going to go
there was not any doubt in my mind that that is what i was going to end up doing that i was going to go on.
i there there was not any doubt in my mind that that is what i was going to end up doing that i was going to go on. there was not any doubt in my mind that that is what i was going to end up doing that i was going to go on. there there was not any doubt in my mind that that is what i was going to end up doing that i wa...
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 was not any doubt in my mind that that is what i was going to end up doing that i was going to go on', 'i there there was not any doubt in my mind that that is what i was going to end up doing that i was...
[ "i do not feel like dancing today", "i do not feel like dancing today now", "i do not feel like dancing today", "i do not feel like dancing today neil", "i do not feel like dancing today anymore" ]
i do not feel like dancing today
i do not feel like dancing today.
i do not feel like dancing today now. i do not feel like dancing today. i do not feel like dancing today neil. i do not feel like dancing today anymore.
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 do not feel like dancing today', 'i do not feel like dancing today now', 'i do not feel like dancing today', 'i do not feel like dancing today neil', 'i do not feel like dancing today anymore']
[ "and up till then", "and up till then", "and up to then", "hand up to then", "hand up till then" ]
and up till then
and up till then.
and up till then. and up to then. hand up to then. hand up till then.
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 up till then', 'and up till then', 'and up to then', 'hand up to then', 'hand up till then']
[ "and the thing that makes one horse different from another", "and the thing that makes one horse different from another", "and the finger makes one horse different from another", "and the finger makes one horse different from another", "and the thing that makes one horse different from another" ]
and the thing that makes one horse different from another
and the thing that makes one horse different from another.
and the thing that makes one horse different from another. and the finger makes one horse different from another. and the finger makes one horse different from another. and the thing that makes one horse different from another.
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 the thing that makes one horse different from another', 'and the thing that makes one horse different from another', 'and the finger makes one horse different from another', 'and the finger makes one horse...
[ "cozy family house", "cozy family house", "and cozy family house", "cozy familyhouse", "the cozy family house" ]
cozy family house
cozy family house.
cozy family house. and cozy family house. cozy familyhouse. the cozy family house.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cozy family house', 'cozy family house', 'and cozy family house', 'cozy familyhouse', 'the cozy family house']
[ "this was the centurion is soy sauce", "this was the centurion is soy sauce", "this was the centerion is soy sauce", "this was the centurion is soy sauce", "this was the centurion is soy sauce" ]
this was the centurion is soy sauce
this was the centurion is soy sauce.
this was the centurion is soy sauce. this was the centerion is soy sauce. this was the centurion is soy sauce. this was the centurion is soy sauce.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was the centurion is soy sauce', 'this was the centurion is soy sauce', 'this was the centerion is soy sauce', 'this was the centurion is soy sauce', 'this was the centurion is soy sauce']
[ "to my own taste", "to my own taste", "to my own taste", "to", "to my own taste" ]
to my own taste
to my own taste.
to my own taste. to my own taste. to. to my own taste.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to my own taste', 'to my own taste', 'to my own taste', 'to', 'to my own taste']