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[ "there is a bond of loyalty that can not be equaled in any other ways", "there is a bond of loyalty that can not be equaled in any other way", "there is a bond of loyalty that can not be equaled in any other ways", "there is a bond of loyalty that can not be equal in any other way", "there is a bond of loya...
there is a bond of loyalty that can not be equalled in any other way
there is a bond of loyalty that can not be equaled in any other ways.
there is a bond of loyalty that can not be equaled in any other way. there is a bond of loyalty that can not be equaled in any other ways. there is a bond of loyalty that can not be equal in any other way. there is a bond of loyalty that can not be equal in any other ways.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is a bond of loyalty that can not be equaled in any other ways', 'there is a bond of loyalty that can not be equaled in any other way', 'there is a bond of loyalty that can not be equaled in any other wa...
[ "i now want to do something which it means", "i now want to do something which i am .", "and now i want to do something which i am .", "i now want to do something which it might be", "and now i want to do something which i am" ]
i now want to do something which
i now want to do something which it means.
i now want to do something which i am .. and now i want to do something which i am .. i now want to do something which it might be. and now i want to do something which i am.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i now want to do something which it means', 'i now want to do something which i am .', 'and now i want to do something which i am .', 'i now want to do something which it might be', 'and now i want to do somet...
[ "below forty-two centimeters", "below forty-twocm", "below forty-two centimeters", "below forty-two centimeters that", "below forty-two cent" ]
below forty-two centimeters
below forty-two centimeters.
below forty-twocm. below forty-two centimeters. below forty-two centimeters that. below forty-two cent.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['below forty-two centimeters', 'below forty-twocm', 'below forty-two centimeters', 'below forty-two centimeters that', 'below forty-two cent']
[ "let us hope there is eighty percent", "let us hope there is eighty", "let us hope this eighty percent", "let us hope there is eighty percent", "let us hope that is eighty percent" ]
let us hope this eighty
let us hope there is eighty percent.
let us hope there is eighty. let us hope this eighty percent. let us hope there is eighty percent. let us hope that is eighty percent.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us hope there is eighty percent', 'let us hope there is eighty', 'let us hope this eighty percent', 'let us hope there is eighty percent', 'let us hope that is eighty percent']
[ "i push on my best smile", "i push on my best smile", "i push on my best smile", "i push on my best smile", "i push on my best smile" ]
i put on my best smile
i push on my best smile.
i push on my best smile. i push on my best smile. i push on my best smile. i push on my best smile.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i push on my best smile', 'i push on my best smile', 'i push on my best smile', 'i push on my best smile', 'i push on my best smile']
[ "we love the idea that a bit of red wine is probably good for us", "we love the idea that a bit of red wine is probably good for us", "maybe we love the idea that a bit of red wine is probably good for us", "we loved the idea that a bit of red wine is probably good for us", "we love the idea that a bit of r...
we love the idea that a bit of red wine is probably good for us
we love the idea that a bit of red wine is probably good for us.
we love the idea that a bit of red wine is probably good for us. maybe we love the idea that a bit of red wine is probably good for us. we loved the idea that a bit of red wine is probably good for us. we love the idea that a bit of red wine is probably good for us.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we love the idea that a bit of red wine is probably good for us', 'we love the idea that a bit of red wine is probably good for us', 'maybe we love the idea that a bit of red wine is probably good for us', 'we...
[ "so it is hard to believe but", "so it is hard to believe but", "so it is hard to believe but", "so it is hard to believe but", "so it is hard to believe" ]
so it is hard to believe
so it is hard to believe but.
so it is hard to believe but. so it is hard to believe but. so it is hard to believe but. so it is hard to believe.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so it is hard to believe but', 'so it is hard to believe but', 'so it is hard to believe but', 'so it is hard to believe but', 'so it is hard to believe']
[ "i am harry heath", "i am harry hase", "i am harry hayes", "i am harry heath", "i am harry heath" ]
i am harry heath
i am harry heath.
i am harry hase. i am harry hayes. i am harry heath. i am harry heath.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am harry heath', 'i am harry hase', 'i am harry hayes', 'i am harry heath', 'i am harry heath']
[ "and there is nothing greener than antics", "and there is nothing greener than antics", "and there is nothing greener than antiques", "and there is nothing greener than antiques", "and there is nothing greener than antics" ]
and there is nothing greener than antiques
and there is nothing greener than antics.
and there is nothing greener than antics. and there is nothing greener than antiques. and there is nothing greener than antiques. and there is nothing greener than antics.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and there is nothing greener than antics', 'and there is nothing greener than antics', 'and there is nothing greener than antiques', 'and there is nothing greener than antiques', 'and there is nothing greener ...
[ "it has got a very powerful bite", "it has got a very powerful bite for you", "it has got a very powerful bite", "it has got a very powerful bite", "it has got a very powerful bike" ]
it has got a very powerful bite
it has got a very powerful bite.
it has got a very powerful bite for you. it has got a very powerful bite. it has got a very powerful bite. it has got a very powerful bike.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has got a very powerful bite', 'it has got a very powerful bite for you', 'it has got a very powerful bite', 'it has got a very powerful bite', 'it has got a very powerful bike']
[ "time must be up", "time must be up", "time must be up", "time must be up", "time must be up" ]
time must be up
time must be up.
time must be up. time must be up. time must be up. time must be up.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['time must be up', 'time must be up', 'time must be up', 'time must be up', 'time must be up']
[ "one of the most recent deposits of extinct animals is in california", "one of the most recent deposits of extinct animals is in california", "one of the most recent deposits of extinct animals is in california", "one of the most recent deposits of extinct animals is in california", "one of the most recent ...
one of the most recent deposits of extinct animals is in california
one of the most recent deposits of extinct animals is in california.
one of the most recent deposits of extinct animals is in california. one of the most recent deposits of extinct animals is in california. one of the most recent deposits of extinct animals is in california. one of the most recent deposits of extinct animals is in california.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the most recent deposits of extinct animals is in california', 'one of the most recent deposits of extinct animals is in california', 'one of the most recent deposits of extinct animals is in california...
[ "they are doing a tropical latin theme", "they are doing a tropical latin theme", "they are doing a tropical latin theme", "they are doing a tropical latin theme", "they are doing a tropical latin theme" ]
they are doing a tropical latin theme
they are doing a tropical latin theme.
they are doing a tropical latin theme. they are doing a tropical latin theme. they are doing a tropical latin theme. they are doing a tropical latin theme.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are doing a tropical latin theme', 'they are doing a tropical latin theme', 'they are doing a tropical latin theme', 'they are doing a tropical latin theme', 'they are doing a tropical latin theme']
[ "and i am told there was still about eight hundred roaming through this land", "and i am told there was still about eight hundred roaming through this land", "and i am told that we are still about eight hundred roaming through this land", "and i am told that there was still about eight hundred roaming through...
i am told there are still about eight hundred roaming through this land
and i am told there was still about eight hundred roaming through this land.
and i am told there was still about eight hundred roaming through this land. and i am told that we are still about eight hundred roaming through this land. and i am told that there was still about eight hundred roaming through this land. and i am told that we are still about eight hundred roaming through this land.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and i am told there was still about eight hundred roaming through this land', 'and i am told there was still about eight hundred roaming through this land', 'and i am told that we are still about eight hundred...
[ "we are excited about what we found", "we are excited about what we found them", "we are excited about what we found on", "we are excited about what we found and", "we are excited about what we found" ]
we are excited about what we found
we are excited about what we found.
we are excited about what we found them. we are excited about what we found on. we are excited about what we found and. we are excited about what we found.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are excited about what we found', 'we are excited about what we found them', 'we are excited about what we found on', 'we are excited about what we found and', 'we are excited about what we found']
[ "there was one significant issue and that is that and i quote here", "there was one significant issue and that is that am i quote here", "there was one significant issue and that is that and i quote here", "there was one significant issue and that is that am i quote here", "there was one significant issue a...
there was one significant issue and that is that and i quote here
there was one significant issue and that is that and i quote here.
there was one significant issue and that is that am i quote here. there was one significant issue and that is that and i quote here. there was one significant issue and that is that am i quote here. there was one significant issue and that is that am i quote here.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there was one significant issue and that is that and i quote here', 'there was one significant issue and that is that am i quote here', 'there was one significant issue and that is that and i quote here', 'the...
[ "because that is how we roll", "because that is how we roll", "because that is how we roll", "because that is how we roll", "because that is how we roll" ]
because that is how we roll
because that is how we roll.
because that is how we roll. because that is how we roll. because that is how we roll. because that is how we roll.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because that is how we roll', 'because that is how we roll', 'because that is how we roll', 'because that is how we roll', 'because that is how we roll']
[ "this harbor is the oldest business in britain", "this harbor is the oldest business in britain", "this harbor is the oldest business in britain", "this harbor is the oldest business in britain", "this harbor is the oldest business in britain" ]
this harbor is the oldest business in britain
this harbor is the oldest business in britain.
this harbor is the oldest business in britain. this harbor is the oldest business in britain. this harbor is the oldest business in britain. this harbor is the oldest business in britain.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this harbor is the oldest business in britain', 'this harbor is the oldest business in britain', 'this harbor is the oldest business in britain', 'this harbor is the oldest business in britain', 'this harbor i...
[ "because it is taken a long time to get where we are", "because it is taken a long time to get where we are", "because it is taking a long time to get where we are", "because it is taken a long time to get where we are", "because it is taken a long time to get where we are" ]
because it is taken a long time to get where we are
because it is taken a long time to get where we are.
because it is taken a long time to get where we are. because it is taking a long time to get where we are. because it is taken a long time to get where we are. because it is taken a long time to get where we are.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because it is taken a long time to get where we are', 'because it is taken a long time to get where we are', 'because it is taking a long time to get where we are', 'because it is taken a long time to get wher...
[ "something that they can turn to", "something that they can turn to", "something that they can turn to", "something that they can turn to", "something that they can turn to ." ]
something that they can turn to
something that they can turn to.
something that they can turn to. something that they can turn to. something that they can turn to. something that they can turn to ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['something that they can turn to', 'something that they can turn to', 'something that they can turn to', 'something that they can turn to', 'something that they can turn to .']
[ "to be your basic coffee", "to be your base at coffee", "you can be your basic coffee", "to be your base at coffee", "to be your base at coffee" ]
it will be your basic coffee
to be your basic coffee.
to be your base at coffee. you can be your basic coffee. to be your base at coffee. to be your base at coffee.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to be your basic coffee', 'to be your base at coffee', 'you can be your basic coffee', 'to be your base at coffee', 'to be your base at coffee']
[ "one day i wake up and i feel like a tp", "one day i wake up and i feel like a t p", "one day i wake up and i feel like a teepee", "one day i wake up and i feel like a tp", "one day i wake up and i feel like a tp" ]
one day i wake up and i feel like a teepee
one day i wake up and i feel like a tp.
one day i wake up and i feel like a t p. one day i wake up and i feel like a teepee. one day i wake up and i feel like a tp. one day i wake up and i feel like a tp.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one day i wake up and i feel like a tp', 'one day i wake up and i feel like a t p', 'one day i wake up and i feel like a teepee', 'one day i wake up and i feel like a tp', 'one day i wake up and i feel like a ...
[ "if we find something startling up", "if we find something startling the", "if we find something startling up", "if we find something startling the whole thing", "if we find something startling the whole thing" ]
if we find something startling
if we find something startling up.
if we find something startling the. if we find something startling up. if we find something startling the whole thing. if we find something startling the whole thing.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if we find something startling up', 'if we find something startling the', 'if we find something startling up', 'if we find something startling the whole thing', 'if we find something startling the whole thing'...
[ "she is upset but she will be fine", "she is upset but she will be fine", "she is upset but she will be fine", "she is upset but she will be fine", "she is upset but she will be fine" ]
she is upset but she will be fine
she is upset but she will be fine.
she is upset but she will be fine. she is upset but she will be fine. she is upset but she will be fine. she is upset but she will be fine.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is upset but she will be fine', 'she is upset but she will be fine', 'she is upset but she will be fine', 'she is upset but she will be fine', 'she is upset but she will be fine']
[ "kind of going saying goodbye", "kind of going saying goodbye", "kind of going saying goodbye", "kind of going saying goodbye", "kind of going saying goodbye" ]
kind of saying goodbye
kind of going saying goodbye.
kind of going saying goodbye. kind of going saying goodbye. kind of going saying goodbye. kind of going saying goodbye.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kind of going saying goodbye', 'kind of going saying goodbye', 'kind of going saying goodbye', 'kind of going saying goodbye', 'kind of going saying goodbye']
[ "because that will justify this", "because that will justify that", "because that will justify the .", "because that will justify", "because that will justify" ]
because that would justify
because that will justify this.
because that will justify that. because that will justify the .. because that will justify. because that will justify.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because that will justify this', 'because that will justify that', 'because that will justify the .', 'because that will justify', 'because that will justify']
[ "we have got a nice place here", "we have got a nice place here", "we have got an ice place here", "and we have got a nice place here", "and we have got a nice place here" ]
we have got a nice place here
we have got a nice place here.
we have got a nice place here. we have got an ice place here. and we have got a nice place here. and we have got a nice place here.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we have got a nice place here', 'we have got a nice place here', 'we have got an ice place here', 'and we have got a nice place here', 'and we have got a nice place here']
[ "and that is where much of the profit comes from", "and that is where much of the profit comes from", "that is where much of the profit comes from", "and that is where much of the profit comes from", "and that is where much of the profit comes from" ]
and that is where much of the profit comes from
and that is where much of the profit comes from.
and that is where much of the profit comes from. that is where much of the profit comes from. and that is where much of the profit comes from. and that is where much of the profit comes from.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that is where much of the profit comes from', 'and that is where much of the profit comes from', 'that is where much of the profit comes from', 'and that is where much of the profit comes from', 'and that ...
[ "then you might be very familiar with it", "then you might be very familiar with it", "than you might be very familiar with it", "then you might be very familiar with it", "than you might be very familiar with it" ]
you might be very familiar with it
then you might be very familiar with it.
then you might be very familiar with it. than you might be very familiar with it. then you might be very familiar with it. than you might be very familiar with it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then you might be very familiar with it', 'then you might be very familiar with it', 'than you might be very familiar with it', 'then you might be very familiar with it', 'than you might be very familiar with ...
[ "that is a good start", "that is a good start", "so that is a good start", "let us a good start", "unless a good start" ]
that is a good start
that is a good start.
that is a good start. so that is a good start. let us a good start. unless a good start.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is a good start', 'that is a good start', 'so that is a good start', 'let us a good start', 'unless a good start']
[ "we actually have not seen him", "we actually have not seen him yet", "we have not seen him", "we actually have not seen him", "we actually have not seen him" ]
we actually have not seen him
we actually have not seen him.
we actually have not seen him yet. we have not seen him. we actually have not seen him. we actually have not seen him.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we actually have not seen him', 'we actually have not seen him yet', 'we have not seen him', 'we actually have not seen him', 'we actually have not seen him']
[ "he really likes me now", "it really likes me now", "really likes me now", "you really likes me now", "she really likes me now" ]
really likes me now
he really likes me now.
it really likes me now. really likes me now. you really likes me now. she really likes me now.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he really likes me now', 'it really likes me now', 'really likes me now', 'you really likes me now', 'she really likes me now']
[ "who did not have any particular skill other than their ability to work hard", "who did not have any particular skill other than their ability to work hard who", "who did not have any particular skill other than their ability to work hard who", "who did not have any particular skill other than their ability t...
who did not have any particular skill other than their ability to work hard
who did not have any particular skill other than their ability to work hard.
who did not have any particular skill other than their ability to work hard who. who did not have any particular skill other than their ability to work hard who. who did not have any particular skill other than their ability to work hard. who did not have any particular skill other than their ability to work hard who.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['who did not have any particular skill other than their ability to work hard', 'who did not have any particular skill other than their ability to work hard who', 'who did not have any particular skill other tha...
[ "and good gardening means going with it", "and good gardening means going with it", "and good gardening means going with it and", "and good gardening means going with it and", "and good gardening means going with it" ]
and good gardening means going with it
and good gardening means going with it.
and good gardening means going with it. and good gardening means going with it and. and good gardening means going with it and. and good gardening means going with it.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and good gardening means going with it', 'and good gardening means going with it', 'and good gardening means going with it and', 'and good gardening means going with it and', 'and good gardening means going wi...
[ "i can not believe that", "because i can not believe that", "i can not believe that", "because i can not believe that", "so i can not believe that" ]
i can not believe that
i can not believe that.
because i can not believe that. i can not believe that. because i can not believe that. so i can not believe that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i can not believe that', 'because i can not believe that', 'i can not believe that', 'because i can not believe that', 'so i can not believe that']
[ "thursdays have gone", "those days have gone", "those days have gone", "thursday is have gone", "thursdays have gone" ]
those days have gone
thursdays have gone.
those days have gone. those days have gone. thursday is have gone. thursdays have gone.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thursdays have gone', 'those days have gone', 'those days have gone', 'thursday is have gone', 'thursdays have gone']
[ "and compared to the other wheat growing around the world at the time of its discovery", "and compared to the other wheat growing around the world at the time of its discovery", "and compared to the other wheat growing around the world at the time of its discovery", "and compared to the other wheat growing ar...
and compared to the other wheat growing around the world at the time of its discovery
and compared to the other wheat growing around the world at the time of its discovery.
and compared to the other wheat growing around the world at the time of its discovery. and compared to the other wheat growing around the world at the time of its discovery. and compared to the other wheat growing around the world at the time of it is discovery. and compared to the other wheat growing around the world ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and compared to the other wheat growing around the world at the time of its discovery', 'and compared to the other wheat growing around the world at the time of its discovery', 'and compared to the other wheat...
[ "finding actually nothing really", "finding absolutely nothing", "finding actually nothing real", "finding nothing really", "finding actually nothing" ]
finding absolutely nothing
finding actually nothing really.
finding absolutely nothing. finding actually nothing real. finding nothing really. finding actually nothing.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['finding actually nothing really', 'finding absolutely nothing', 'finding actually nothing real', 'finding nothing really', 'finding actually nothing']
[ "and so what does it mean", "and so what does it mean", "so what does it mean", "what does it mean", "so what does it mean" ]
so what does it mean
and so what does it mean.
and so what does it mean. so what does it mean. what does it mean. so what does it mean.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and so what does it mean', 'and so what does it mean', 'so what does it mean', 'what does it mean', 'so what does it mean']
[ "giants is everywhere around", "giants is everywhere around", "giants everywhere around", "giants is everywhere around", "giant is is everywhere around" ]
giants is everywhere around
giants is everywhere around.
giants is everywhere around. giants everywhere around. giants is everywhere around. giant is is everywhere around.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['giants is everywhere around', 'giants is everywhere around', 'giants everywhere around', 'giants is everywhere around', 'giant is is everywhere around']
[ "nobody is talking to you", "nobody is talking to you", "nobody is talking to you", "nobody is talking to you", "nobody is talking to you" ]
nobody is talking to you
nobody is talking to you.
nobody is talking to you. nobody is talking to you. nobody is talking to you. nobody is talking to you.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nobody is talking to you', 'nobody is talking to you', 'nobody is talking to you', 'nobody is talking to you', 'nobody is talking to you']
[ "wearing nothing but masks", "wearing nothing but masks", "wearing nothing but masks", "wearing nothing but masks", "wearing nothing but masks" ]
wearing nothing but masks
wearing nothing but masks.
wearing nothing but masks. wearing nothing but masks. wearing nothing but masks. wearing nothing but masks.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wearing nothing but masks', 'wearing nothing but masks', 'wearing nothing but masks', 'wearing nothing but masks', 'wearing nothing but masks']
[ "with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network", "with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network", "with the new factory laws being introduced in the one thousand, eight...
with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network
with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network.
with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network. with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network. with the new factory laws being introduced in the one thousand, eight hundred and ...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with the new factory laws being introduced in the one thousand, eight hundred and fiftys and also the railway network', 'with the new factory laws being introduced in the one thousand, eight hundred and fiftys...
[ "for the first time really", "for the first time really", "for the first time really", "for the first time really", "for the first time really" ]
for the first time
for the first time really.
for the first time really. for the first time really. for the first time really. for the first time really.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the first time really', 'for the first time really', 'for the first time really', 'for the first time really', 'for the first time really']
[ "and that is not something they can take place in the matter of weeks", "and that is not something they can take place in the matter of weeks", "and that is not something that can take place in the matter of weeks", "and that is not something that can take place in the matter of weeks", "and that is not som...
that is not something that can take place in a matter of weeks
and that is not something they can take place in the matter of weeks.
and that is not something they can take place in the matter of weeks. and that is not something that can take place in the matter of weeks. and that is not something that can take place in the matter of weeks. and that is not something they can take place in the matter of weeks.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and that is not something they can take place in the matter of weeks', 'and that is not something they can take place in the matter of weeks', 'and that is not something that can take place in the matter of we...
[ "but in order to see the two partners you", "but in order to see the two partners", "but in order to see the two partners you", "but in order to see the two partners", "but in order to see the two partners" ]
but in order to see the two partners
but in order to see the two partners you.
but in order to see the two partners. but in order to see the two partners you. but in order to see the two partners. but in order to see the two partners.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but in order to see the two partners you', 'but in order to see the two partners', 'but in order to see the two partners you', 'but in order to see the two partners', 'but in order to see the two partners']
[ "press the lift buttons", "press the left button", "press the lift button", "press the lift buttons", "press the left buttons" ]
press lift buttons
press the lift buttons.
press the left button. press the lift button. press the lift buttons. press the left buttons.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['press the lift buttons', 'press the left button', 'press the lift button', 'press the lift buttons', 'press the left buttons']
[ "we spoke on the phone", "we spoke on the phone", "we spoke on the phone", "we spoke on the phone", "we spoke on the phone" ]
we spoke on the phone
we spoke on the phone.
we spoke on the phone. we spoke on the phone. we spoke on the phone. we spoke on the phone.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we spoke on the phone', 'we spoke on the phone', 'we spoke on the phone', 'we spoke on the phone', 'we spoke on the phone']
[ "a very passionate animal lover", "a very passionate animal lover", "a very passionate animal lover you", "very passionate animal lover", "very passionate animal lovers" ]
a very passionate animal lover
a very passionate animal lover.
a very passionate animal lover. a very passionate animal lover you. very passionate animal lover. very passionate animal lovers.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a very passionate animal lover', 'a very passionate animal lover', 'a very passionate animal lover you', 'very passionate animal lover', 'very passionate animal lovers']
[ "has it re colonized the country", "has it recolonised the country", "has it recolonized the country", "has it recolonised the country", "has it recolonised the country" ]
has it to re colonized the country
has it re colonized the country.
has it recolonised the country. has it recolonized the country. has it recolonised the country. has it recolonised the country.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['has it re colonized the country', 'has it recolonised the country', 'has it recolonized the country', 'has it recolonised the country', 'has it recolonised the country']
[ "good it is created by god", "good it is created by god", "good it is created by god", "good it is created by god", "good it is it is created by god" ]
it was created by god
good it is created by god.
good it is created by god. good it is created by god. good it is created by god. good it is it is created by god.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['good it is created by god', 'good it is created by god', 'good it is created by god', 'good it is created by god', 'good it is it is created by god']
[ "i do not think there is any sense to anything else", "i do not think there is any sense to anything else", "do not think there is any sense to anything else", "i do not think there is any sense to anything else", "i do not think there is any sense to anything else" ]
i do not think there is any sense to anything else
i do not think there is any sense to anything else.
i do not think there is any sense to anything else. do not think there is any sense to anything else. i do not think there is any sense to anything else. i do not think there is any sense to anything else.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i do not think there is any sense to anything else', 'i do not think there is any sense to anything else', 'do not think there is any sense to anything else', 'i do not think there is any sense to anything els...
[ "to help us through the year", "the year", "to help us through the year", "to help us through the year", "to help us through the year" ]
to help us through the year
to help us through the year.
the year. to help us through the year. to help us through the year. to help us through the year.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to help us through the year', 'the year', 'to help us through the year', 'to help us through the year', 'to help us through the year']
[ "a minute is count here", "a minutes count here", "of a minute is count here", "a mini scount here", "minutes count here" ]
and minutes count here
a minute is count here.
a minutes count here. of a minute is count here. a mini scount here. minutes count here.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a minute is count here', 'a minutes count here', 'of a minute is count here', 'a mini scount here', 'minutes count here']
[ "these beautiful cornish ones are .", "these beautiful cornish ones are .", "these beautiful cornish ones are .", "these beautiful cornish ones", "these beautiful corny ones are ." ]
these beautiful cornish ones
these beautiful cornish ones are ..
these beautiful cornish ones are .. these beautiful cornish ones are .. these beautiful cornish ones. these beautiful corny ones are ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these beautiful cornish ones are .', 'these beautiful cornish ones are .', 'these beautiful cornish ones are .', 'these beautiful cornish ones', 'these beautiful corny ones are .']
[ "and i am moving on to the blues who .", "and i am moving on to the blues who .", "and i am moving on to the blues", "and i am moving on to the blues", "and i am moving on to the blues" ]
and now moving on to the blues
and i am moving on to the blues who ..
and i am moving on to the blues who .. and i am moving on to the blues. and i am moving on to the blues. and i am moving on to the blues.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and i am moving on to the blues who .', 'and i am moving on to the blues who .', 'and i am moving on to the blues', 'and i am moving on to the blues', 'and i am moving on to the blues']
[ "the little picture frame", "the little picture frames", "the little picture frame so", "of the little picture frames", "of the little picture frame" ]
the little picture frame
the little picture frame.
the little picture frames. the little picture frame so. of the little picture frames. of the little picture frame.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the little picture frame', 'the little picture frames', 'the little picture frame so', 'of the little picture frames', 'of the little picture frame']
[ "but we have come here with a mission and that mission", "but we have come here with a mission and that mission", "but we have come here with a mission and that mission", "but we have come here with a mission and that mission", "but we have come here with a mission and that mission" ]
we have come here with a mission
but we have come here with a mission and that mission.
but we have come here with a mission and that mission. but we have come here with a mission and that mission. but we have come here with a mission and that mission. but we have come here with a mission and that mission.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but we have come here with a mission and that mission', 'but we have come here with a mission and that mission', 'but we have come here with a mission and that mission', 'but we have come here with a mission a...
[ "so we get these two different time frames represented from the very end of the ice age", "so we get these two different time frames represented from the very end of the ice age", "so we get these two different timeframes represented from the very end of the ice age", "so we get these two different time frame...
so we get these two different time frames represented from the very end of the ice age
so we get these two different time frames represented from the very end of the ice age.
so we get these two different time frames represented from the very end of the ice age. so we get these two different timeframes represented from the very end of the ice age. so we get these two different time frames represented from the very end of the ice age. so we get these two different time frames represented fro...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so we get these two different time frames represented from the very end of the ice age', 'so we get these two different time frames represented from the very end of the ice age', 'so we get these two different...
[ "it is just along the shoreline from turkey", "it is just along the shoreline from tokyo", "just along the shoreline from turkey", "it is just along the shoreline from tolkien", "it is just along the shoreline from turkey" ]
just along the shoreline from torquay
it is just along the shoreline from turkey.
it is just along the shoreline from tokyo. just along the shoreline from turkey. it is just along the shoreline from tolkien. it is just along the shoreline from turkey.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is just along the shoreline from turkey', 'it is just along the shoreline from tokyo', 'just along the shoreline from turkey', 'it is just along the shoreline from tolkien', 'it is just along the shoreline ...
[ "she is dancing to a song called trouble", "she is dancing to a song called trouble", "she is dancing to a song called trouble", "she is dancing to a song called trouble", "she is dancing to a song called trouble" ]
she is dancing to a song called trouble
she is dancing to a song called trouble.
she is dancing to a song called trouble. she is dancing to a song called trouble. she is dancing to a song called trouble. she is dancing to a song called trouble.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is dancing to a song called trouble', 'she is dancing to a song called trouble', 'she is dancing to a song called trouble', 'she is dancing to a song called trouble', 'she is dancing to a song called troub...
[ "so if he beats me and he does well .", "so if he beats me and he does well .", "so if he beats me and he does well", "so if he beats me and he does well", "so if he beats me and he does well" ]
so if he beats me and he does well
so if he beats me and he does well ..
so if he beats me and he does well .. so if he beats me and he does well. so if he beats me and he does well. so if he beats me and he does well.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so if he beats me and he does well .', 'so if he beats me and he does well .', 'so if he beats me and he does well', 'so if he beats me and he does well', 'so if he beats me and he does well']
[ "i would be surprised if it made less than a thousand", "i would be surprised if it made less than a thousand", "i would be surprised if it made less than one thousand", "i would be surprised if it made less than a thousand", "i would be surprised if it made less than one thousand" ]
i would be surprised if it made less than one
i would be surprised if it made less than a thousand.
i would be surprised if it made less than a thousand. i would be surprised if it made less than one thousand. i would be surprised if it made less than a thousand. i would be surprised if it made less than one thousand.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i would be surprised if it made less than a thousand', 'i would be surprised if it made less than a thousand', 'i would be surprised if it made less than one thousand', 'i would be surprised if it made less th...
[ "or someone is up in emotion she sings", "or someone is up in a motion she sings", "or someone is up in emotion she sings", "or someone is up in emotion she sings", "or someone is up in a motion she sings" ]
or summons up an emotion she sings
or someone is up in emotion she sings.
or someone is up in a motion she sings. or someone is up in emotion she sings. or someone is up in emotion she sings. or someone is up in a motion she sings.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['or someone is up in emotion she sings', 'or someone is up in a motion she sings', 'or someone is up in emotion she sings', 'or someone is up in emotion she sings', 'or someone is up in a motion she sings']
[ "which is not very appealing to anybody", "which is not very appealing to anybody", "which is not very appealing to anybody", "which is not very appealing to anybody", "which is not very appealing to anybody" ]
which is not very appealing to anybody
which is not very appealing to anybody.
which is not very appealing to anybody. which is not very appealing to anybody. which is not very appealing to anybody. which is not very appealing to anybody.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['which is not very appealing to anybody', 'which is not very appealing to anybody', 'which is not very appealing to anybody', 'which is not very appealing to anybody', 'which is not very appealing to anybody']
[ "but i can not talk", "but i can not talk", "but i can not talk", "i can not talk", "but i can not talk because" ]
but i can not talk
but i can not talk.
but i can not talk. but i can not talk. i can not talk. but i can not talk because.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but i can not talk', 'but i can not talk', 'but i can not talk', 'i can not talk', 'but i can not talk because']
[ "so he is not allowed to see up past eight o clock in the morning", "so he is not allowed to see up past eight o clock in the night", "so he is not allowed to sail past eight o clock in the morning", "so he is not allowed to see up past eight o clock in the evening", "so he is not allowed to see up past eig...
so he is not allowed to stay up past eight o clock
so he is not allowed to see up past eight o clock in the morning.
so he is not allowed to see up past eight o clock in the night. so he is not allowed to sail past eight o clock in the morning. so he is not allowed to see up past eight o clock in the evening. so he is not allowed to see up past eight o clock in the morning.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so he is not allowed to see up past eight o clock in the morning', 'so he is not allowed to see up past eight o clock in the night', 'so he is not allowed to sail past eight o clock in the morning', 'so he is ...
[ "what a brilliant solution to a slippery problem", "what a brilliant solution to a slippery problem", "what a brilliant solution to a slippery problem i", "what a brilliant solution to a slippery problem i", "what a brilliant solution to a slippery problem i ." ]
what a brilliant solution to a slippery problem
what a brilliant solution to a slippery problem.
what a brilliant solution to a slippery problem. what a brilliant solution to a slippery problem i. what a brilliant solution to a slippery problem i. what a brilliant solution to a slippery problem i ..
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what a brilliant solution to a slippery problem', 'what a brilliant solution to a slippery problem', 'what a brilliant solution to a slippery problem i', 'what a brilliant solution to a slippery problem i', 'w...
[ "being jostled around inside", "was being jostled around inside", "being jostle around inside", "been jostled around inside", "been jostle around inside" ]
being jostled around inside
being jostled around inside.
was being jostled around inside. being jostle around inside. been jostled around inside. been jostle around inside.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['being jostled around inside', 'was being jostled around inside', 'being jostle around inside', 'been jostled around inside', 'been jostle around inside']
[ "we once again were not in the design office", "we once again were not in the design office", "we once again will not in the design office", "we once again will not in the design office", "we once again were not in the design office" ]
we once again were not in the design office
we once again were not in the design office.
we once again were not in the design office. we once again will not in the design office. we once again will not in the design office. we once again were not in the design office.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we once again were not in the design office', 'we once again were not in the design office', 'we once again will not in the design office', 'we once again will not in the design office', 'we once again were no...
[ "physically and mentally", "physically and mentally", "physically and mentally", "physically and mentally", "physically and mentally" ]
physically and mentally
physically and mentally.
physically and mentally. physically and mentally. physically and mentally. physically and mentally.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['physically and mentally', 'physically and mentally', 'physically and mentally', 'physically and mentally', 'physically and mentally']
[ "so they are a problem to us", "so they are a problem to us with", "so they are a problem to us", "so they are a problem too as we", "so they are a problem to us we" ]
so they are a problem to us
so they are a problem to us.
so they are a problem to us with. so they are a problem to us. so they are a problem too as we. so they are a problem to us we.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so they are a problem to us', 'so they are a problem to us with', 'so they are a problem to us', 'so they are a problem too as we', 'so they are a problem to us we']
[ "so if you are not sure what it is the", "so if you are not sure what it is the", "so if you are not sure what it is the", "so if you are not sure what it is that", "so if you are not sure what it is the" ]
so if you are not sure what it is
so if you are not sure what it is the.
so if you are not sure what it is the. so if you are not sure what it is the. so if you are not sure what it is that. so if you are not sure what it is the.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so if you are not sure what it is the', 'so if you are not sure what it is the', 'so if you are not sure what it is the', 'so if you are not sure what it is that', 'so if you are not sure what it is the']
[ "i can not believe that", "i can not believe that", "i can not believe that", "i can not believe it", "can not believe that" ]
i can not believe that
i can not believe that.
i can not believe that. i can not believe that. i can not believe it. can not believe that.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i can not believe that', 'i can not believe that', 'i can not believe that', 'i can not believe it', 'can not believe that']
[ "when they come up", "when they come out here", "when they come out", "when they come up here", "when they come up" ]
when they come up
when they come up.
when they come out here. when they come out. when they come up here. when they come up.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when they come up', 'when they come out here', 'when they come out', 'when they come up here', 'when they come up']
[ "they bought it and they saved this house and all of its treasures for the nation", "they bought it and they saved this house and all of its treasures for the nation", "they bought it and they saved this house and all of its treasures for the nation", "they bought it and they saved this house and all of its t...
they bought it and they saved this house and all of its treasures for the nation
they bought it and they saved this house and all of its treasures for the nation.
they bought it and they saved this house and all of its treasures for the nation. they bought it and they saved this house and all of its treasures for the nation. they bought it and they saved this house and all of its treasures for the nation. they bought it and they saved this house and all of it is treasures for th...
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they bought it and they saved this house and all of its treasures for the nation', 'they bought it and they saved this house and all of its treasures for the nation', 'they bought it and they saved this house ...
[ "let us go and find him", "let us go find him", "let us go and find him", "let us get in find him", "let us go find him" ]
let us go and find him
let us go and find him.
let us go find him. let us go and find him. let us get in find him. let us go find him.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us go and find him', 'let us go find him', 'let us go and find him', 'let us get in find him', 'let us go find him']
[ "because up there", "cause up there", "because up there", "cuz up there", "cause up there" ]
because up there
because up there.
cause up there. because up there. cuz up there. cause up there.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['because up there', 'cause up there', 'because up there', 'cuz up there', 'cause up there']
[ "and i have been doing it from a very young age", "and i have been doing it from a very young age", "i have been doing it from a very young age", "and i have been doing it from a very young age", "and i have been doing it from a very young age" ]
and i have been doing it from a very young age
and i have been doing it from a very young age.
and i have been doing it from a very young age. i have been doing it from a very young age. and i have been doing it from a very young age. and i have been doing it from a very young age.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and i have been doing it from a very young age', 'and i have been doing it from a very young age', 'i have been doing it from a very young age', 'and i have been doing it from a very young age', 'and i have be...
[ "thanks for watching", "thank you for watching", "thanks for watching", "thank you for watching", "thanks for watching" ]
thank you for watching
thanks for watching.
thank you for watching. thanks for watching. thank you for watching. thanks for watching.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thanks for watching', 'thank you for watching', 'thanks for watching', 'thank you for watching', 'thanks for watching']
[ "of all our habitats", "of all our habitats", "of all our habitats", "of all our habitats", "of all our habitats" ]
of all our habitats
of all our habitats.
of all our habitats. of all our habitats. of all our habitats. of all our habitats.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of all our habitats', 'of all our habitats', 'of all our habitats', 'of all our habitats', 'of all our habitats']
[ "has become a national pastime", "it is become a national pastime", "it is become a national pastime", "is become a national pastime", "it is become a national pastime" ]
it is become a national pastime
has become a national pastime.
it is become a national pastime. it is become a national pastime. is become a national pastime. it is become a national pastime.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['has become a national pastime', 'it is become a national pastime', 'it is become a national pastime', 'is become a national pastime', 'it is become a national pastime']
[ "he is eighteen year old jordan dakin", "he is eighteen year old jordan daken", "he is eighteen year old jordan deakin", "he is eighteen year old jordan dakin", "he is eighteen year old jordan dakin" ]
he is eighteen year old jordan daykin
he is eighteen year old jordan dakin.
he is eighteen year old jordan daken. he is eighteen year old jordan deakin. he is eighteen year old jordan dakin. he is eighteen year old jordan dakin.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is eighteen year old jordan dakin', 'he is eighteen year old jordan daken', 'he is eighteen year old jordan deakin', 'he is eighteen year old jordan dakin', 'he is eighteen year old jordan dakin']
[ "time has gone by and it is the day of reckoning", "time has gone by and it is the day of reckoning", "well time has gone by and it is the day of reckoning", "time has gone by and it is the day of reckoning", "time is gone by and it is the day of reckoning" ]
time has gone by and it is the day of reckoning
time has gone by and it is the day of reckoning.
time has gone by and it is the day of reckoning. well time has gone by and it is the day of reckoning. time has gone by and it is the day of reckoning. time is gone by and it is the day of reckoning.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['time has gone by and it is the day of reckoning', 'time has gone by and it is the day of reckoning', 'well time has gone by and it is the day of reckoning', 'time has gone by and it is the day of reckoning', '...
[ "that is a key word", "that is the key word", "that is a key word", "that is a key word", "that is a key word is" ]
that is a key word
that is a key word.
that is the key word. that is a key word. that is a key word. that is a key word is.
train_lrs2
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is a key word', 'that is the key word', 'that is a key word', 'that is a key word', 'that is a key word is']
[ "celebrating christian worship", "celebrating christian worship", "celebrating christian worship", "celebrating christian worship", "celebrating christian worship" ]
celebrating christian worship
celebrating christian worship.
celebrating christian worship. celebrating christian worship. celebrating christian worship. celebrating christian worship.
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. ['celebrating christian worship', 'celebrating christian worship', 'celebrating christian worship', 'celebrating christian worship', 'celebrating christian worship']
[ "and i am also pretty .", "and i am also pretty", "and i am also pretty .", "and i am also pretty", "and i am also pretty" ]
i am also pretty
and i am also pretty ..
and i am also pretty. and i am also pretty .. and i am also pretty. and i am also pretty.
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 i am also pretty .', 'and i am also pretty', 'and i am also pretty .', 'and i am also pretty', 'and i am also pretty']
[ "the previous tenant painted it", "the previous tenant painted it", "the previous ten and painted it", "the previous tenon painted it", "the previous turn and painted it" ]
the previous tenant painted it
the previous tenant painted it.
the previous tenant painted it. the previous ten and painted it. the previous tenon painted it. the previous turn and painted 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. ['the previous tenant painted it', 'the previous tenant painted it', 'the previous ten and painted it', 'the previous tenon painted it', 'the previous turn and painted it']
[ "she is the consummate compare", "she is the consummate compare", "she is the consumant compare", "she is the consumant compare", "she is the consumant compare" ]
she is the consummate compere
she is the consummate compare.
she is the consummate compare. she is the consumant compare. she is the consumant compare. she is the consumant compare.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is the consummate compare', 'she is the consummate compare', 'she is the consumant compare', 'she is the consumant compare', 'she is the consumant compare']
[ "predominantly from the atlantic", "predominantly from the atlantic that", "predominantly from the atlantic", "predominantly from the atlantic that", "predominately from the atlantic that" ]
predominantly from the atlantic
predominantly from the atlantic.
predominantly from the atlantic that. predominantly from the atlantic. predominantly from the atlantic that. predominately from the atlantic 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. ['predominantly from the atlantic', 'predominantly from the atlantic that', 'predominantly from the atlantic', 'predominantly from the atlantic that', 'predominately from the atlantic that']
[ "for the audience at home", "for the audience at home", "at home", "today", "for" ]
for the audience at home
for the audience at home.
for the audience at home. at home. today. for.
train_lrs2
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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', 'at home', 'today', 'for']
[ "i have to say my house does not suit larry is cliff so if it was mine", "i have to say my house does not suit larry is cliff so if it was mine", "i have to say my house does not suit clarice cliff so if it was mine", "i have to say my house does not suit clare is cliff so if it was mine", "i have to say my...
i have to say my house does not suit clarice cliff so if it was mine
i have to say my house does not suit larry is cliff so if it was mine.
i have to say my house does not suit larry is cliff so if it was mine. i have to say my house does not suit clarice cliff so if it was mine. i have to say my house does not suit clare is cliff so if it was mine. i have to say my house does not suit clare is glyph so if it was mine.
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 have to say my house does not suit larry is cliff so if it was mine', 'i have to say my house does not suit larry is cliff so if it was mine', 'i have to say my house does not suit clarice cliff so if it was...
[ "until we got there", "and till we got there", "and too we got there", "and too we got there", "until we got there" ]
until we got there
until we got there.
and till we got there. and too we got there. and too we got there. until we got there.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['until we got there', 'and till we got there', 'and too we got there', 'and too we got there', 'until we got there']
[ "they wiped out its leadership and then they set about the long and arduous task of", "they wiped out its leadership and then they set about the long and arduous task of", "they wiped out its leadership and then they set about the long and arduous task of", "they wiped out its leadership and then they set abo...
they wiped out its leadership and then they set about the long and arduous task of
they wiped out its leadership and then they set about the long and arduous task of.
they wiped out its leadership and then they set about the long and arduous task of. they wiped out its leadership and then they set about the long and arduous task of. they wiped out its leadership and then they set about the long and arduous task of. they wiped out its leadership and then they sat about the long and a...
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they wiped out its leadership and then they set about the long and arduous task of', 'they wiped out its leadership and then they set about the long and arduous task of', 'they wiped out its leadership and the...
[ "that sometimes it is a little bit restrictive", "that sometimes it is a little bit restrictive you", "that sometimes it is a little bit restrictive you", "that sometimes it is a little bit restrictive", "that sometimes it is a little bit restrictive" ]
that sometimes it is a little bit restrictive
that sometimes it is a little bit restrictive.
that sometimes it is a little bit restrictive you. that sometimes it is a little bit restrictive you. that sometimes it is a little bit restrictive. that sometimes it is a little bit restrictive.
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 sometimes it is a little bit restrictive', 'that sometimes it is a little bit restrictive you', 'that sometimes it is a little bit restrictive you', 'that sometimes it is a little bit restrictive', 'that ...
[ "you had a local .", "you had a local", "you had a local", "you heard a local .", "you heard a local" ]
you had a local
you had a local ..
you had a local. you had a local. you heard a local .. you heard a local.
train_lrs2
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you had a local .', 'you had a local', 'you had a local', 'you heard a local .', 'you heard a local']
[ "because you go there with say", "because you go there with say", "because you go there with safe", "because you go there with safe", "because you go there with faith" ]
cos you go there with say
because you go there with say.
because you go there with say. because you go there with safe. because you go there with safe. because you go there with faith.
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. ['because you go there with say', 'because you go there with say', 'because you go there with safe', 'because you go there with safe', 'because you go there with faith']
[ "i dropped out about two hundred", "i dropped out at about two hundred", "by dropped out about two hundred", "by dropped out at about two hundred", "i dropped out about two hundred" ]
i dropped out at about two hundred
i dropped out about two hundred.
i dropped out at about two hundred. by dropped out about two hundred. by dropped out at about two hundred. i dropped out about two hundred.
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 dropped out about two hundred', 'i dropped out at about two hundred', 'by dropped out about two hundred', 'by dropped out at about two hundred', 'i dropped out about two hundred']
[ "i am not getting married at the old age", "i can not i am not getting married at the old age", "i am not going to marry the old dude", "i am not quite married at the old age", "i am not going to marry to the old dude" ]
i am not getting married at the odeon
i am not getting married at the old age.
i can not i am not getting married at the old age. i am not going to marry the old dude. i am not quite married at the old age. i am not going to marry to the old dude.
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. ['i am not getting married at the old age', 'i can not i am not getting married at the old age', 'i am not going to marry the old dude', 'i am not quite married at the old age', 'i am not going to marry to the o...
[ "and most people will be putting their cattle into sheds at this time of year", "a most people will be putting their cattle into sheds at this time of year", "most people will be putting their cattle into sheds at this time of year", "and most people will be putting their cattle into sheds at this time of yea...
most people will be putting their cattle into sheds at this time of year
and most people will be putting their cattle into sheds at this time of year.
a most people will be putting their cattle into sheds at this time of year. most people will be putting their cattle into sheds at this time of year. and most people will be putting their cattle into sheds at this time of year. and most people will be putting their cattle into shreds at this time of 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. ['and most people will be putting their cattle into sheds at this time of year', 'a most people will be putting their cattle into sheds at this time of year', 'most people will be putting their cattle into sheds...