hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"mighty bomb jack got less favorable reviews than the original game",
"mighty bomb jack got less favorable reviews than the original game",
"my tea bomb jack got less favorable reviews than the original game",
"my tea bomb jack got less favorable reviews than the original game",
"mighty bomb jack less favorable reviews than the original game"
] |
mighty bomb jack got less favorable reviews than the original game
|
mighty bomb jack got less favorable reviews than the original game.
|
mighty bomb jack got less favorable reviews than the original game. my tea bomb jack got less favorable reviews than the original game. my tea bomb jack got less favorable reviews than the original game. mighty bomb jack less favorable reviews than the original game.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mighty bomb jack got less favorable reviews than the original game', 'mighty bomb jack got less favorable reviews than the original game', 'my tea bomb jack got less favorable reviews than the original game', 'my tea bomb jack got less favorable reviews than the original game', 'mighty bomb jack less favorable reviews than the original game']
|
|
[
"or any other politician",
"or any other politician",
"or any other politician",
" or any other politician",
" or any other politician"
] |
or any other politician
|
or any other politician.
|
or any other politician. or any other politician. or any other politician. or any other politician.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['or any other politician', 'or any other politician', 'or any other politician', ' or any other politician', ' or any other politician']
|
|
[
"a woman standing front of a beach scene and smiling",
"a woman standing front of a beach scene and smile",
"a woman standing in front of a beach scene and smiling",
"a woman standing in front of a beach scene and smile",
"a woman standing front of a beach scene in spy"
] |
a woman standing in front of a beach scene and smiling
|
a woman standing front of a beach scene and smiling.
|
a woman standing front of a beach scene and smile. a woman standing in front of a beach scene and smiling. a woman standing in front of a beach scene and smile. a woman standing front of a beach scene in spy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a woman standing front of a beach scene and smiling', 'a woman standing front of a beach scene and smile', 'a woman standing in front of a beach scene and smiling', 'a woman standing in front of a beach scene and smile', 'a woman standing front of a beach scene in spy']
|
|
[
"among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli",
"among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli",
"among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli",
"among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli",
"among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzeli"
] |
among his collaborators was giovanni maria butteri and his main pupil was giovanni bizzelli
|
among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli.
|
among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli. among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli. among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli. among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzeli.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli', 'among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzelli', 'among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli', 'among his collaborators was giovanni maria boteri and his main pupil was giovanni pizzelli', 'among his collaborators was giovanni maria poteri and his main pupil was giovanni pizzeli']
|
|
[
"considerable land those appropriated in the downriver portion of the city",
"considerable land dose appropriated in the downriver portion of the city",
"considerable land was extroperated in the downriver portion of the city",
"considerable land dose appropriated in the downriver portion of the city",
"considerable land was appropriated in the downriver portion of the city"
] |
considerable land was expropriated in the downriver portion of the city
|
considerable land those appropriated in the downriver portion of the city.
|
considerable land dose appropriated in the downriver portion of the city. considerable land was extroperated in the downriver portion of the city. considerable land dose appropriated in the downriver portion of the city. considerable land was appropriated in the downriver portion of the city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['considerable land those appropriated in the downriver portion of the city', 'considerable land dose appropriated in the downriver portion of the city', 'considerable land was extroperated in the downriver portion of the city', 'considerable land dose appropriated in the downriver portion of the city', 'considerable land was appropriated in the downriver portion of the city']
|
|
[
"trend lines are commonly used to decide entry and exit timing when trading securities",
"commonly used to decide entry and exit timing when trading securities",
"commonly used to decide entry and exit timing when trading securities",
"commonly used to the side entry and exit timing when trading securities",
"trend lines are commonly used to aside entry and exit timing when trading securities"
] |
trend lines are commonly used to decide entry and exit timing when trading securities
|
trend lines are commonly used to decide entry and exit timing when trading securities.
|
commonly used to decide entry and exit timing when trading securities. commonly used to decide entry and exit timing when trading securities. commonly used to the side entry and exit timing when trading securities. trend lines are commonly used to aside entry and exit timing when trading securities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['trend lines are commonly used to decide entry and exit timing when trading securities', 'commonly used to decide entry and exit timing when trading securities', 'commonly used to decide entry and exit timing when trading securities', 'commonly used to the side entry and exit timing when trading securities', 'trend lines are commonly used to aside entry and exit timing when trading securities']
|
|
[
"all songs written by mocked in heaven and mercy",
"all songs written by mark ineven and marcy",
"all songs written by mark the ineven and marcy",
"all songs written by mocked in heaven and mercy",
"all songs written by mark in heaven and mercy"
] |
all songs written by mark e nevin and morrissey
|
all songs written by mocked in heaven and mercy.
|
all songs written by mark ineven and marcy. all songs written by mark the ineven and marcy. all songs written by mocked in heaven and mercy. all songs written by mark in heaven and mercy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all songs written by mocked in heaven and mercy', 'all songs written by mark ineven and marcy', 'all songs written by mark the ineven and marcy', 'all songs written by mocked in heaven and mercy', 'all songs written by mark in heaven and mercy']
|
|
[
"some are always under construction like jammu burmula line",
"so my ways are under construction like jammu burmula line",
"some are always under construction like jammu burmula line",
"some are always under construction like jammu burmula line",
"so my way is under construction like jammu burmula line"
] |
some railways are under construction like jammu baramulla line
|
some are always under construction like jammu burmula line.
|
so my ways are under construction like jammu burmula line. some are always under construction like jammu burmula line. some are always under construction like jammu burmula line. so my way is under construction like jammu burmula line.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some are always under construction like jammu burmula line', 'so my ways are under construction like jammu burmula line', 'some are always under construction like jammu burmula line', 'some are always under construction like jammu burmula line', 'so my way is under construction like jammu burmula line']
|
|
[
"two little girls are laying on the grass smiling",
"two little girls are laying on the graph smiling",
"two little girls are laying on the grass smiling",
"two little girls are laying on the grass smiling",
"two little girls are laying on the gross smiling"
] |
two little girls are laying on the grass smiling
|
two little girls are laying on the grass smiling.
|
two little girls are laying on the graph smiling. two little girls are laying on the grass smiling. two little girls are laying on the grass smiling. two little girls are laying on the gross smiling.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two little girls are laying on the grass smiling', 'two little girls are laying on the graph smiling', 'two little girls are laying on the grass smiling', 'two little girls are laying on the grass smiling', 'two little girls are laying on the gross smiling']
|
|
[
"some middleists and people have said an israeli flag on fire",
"some middleist people have said an israeli flag on fire",
"some middle eastern people have said an israeli flag on fire",
"some middleist and people have said an israeli flag on fire",
"some people have said an israeli flag on fire"
] |
some middle eastern people have set an israeli flag on fire
|
some middleists and people have said an israeli flag on fire.
|
some middleist people have said an israeli flag on fire. some middle eastern people have said an israeli flag on fire. some middleist and people have said an israeli flag on fire. some people have said an israeli flag on fire.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some middleists and people have said an israeli flag on fire', 'some middleist people have said an israeli flag on fire', 'some middle eastern people have said an israeli flag on fire', 'some middleist and people have said an israeli flag on fire', 'some people have said an israeli flag on fire']
|
|
[
"he was born at olau in celicia",
"he was born at olau in celessia",
"he was born at olau in celestia",
"he was born at olau in celesia",
"he was born at olau in celicia"
] |
he was born at ohlau in silesia
|
he was born at olau in celicia.
|
he was born at olau in celessia. he was born at olau in celestia. he was born at olau in celesia. he was born at olau in celicia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was born at olau in celicia', 'he was born at olau in celessia', 'he was born at olau in celestia', 'he was born at olau in celesia', 'he was born at olau in celicia']
|
|
[
"the following table shows high rankings relative to other schools in the state",
"the following table shows highs rankings relative to other schools in the state",
"the following table shows highs rankings relative to other schools in the state",
"the following table shows highs rankings relative to other schools in the state",
"the following table shows high rankings relative to other schools in the state"
] |
the following table shows high is rankings relative to other schools in the state
|
the following table shows high rankings relative to other schools in the state.
|
the following table shows highs rankings relative to other schools in the state. the following table shows highs rankings relative to other schools in the state. the following table shows highs rankings relative to other schools in the state. the following table shows high rankings relative to other schools in the state.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following table shows high rankings relative to other schools in the state', 'the following table shows highs rankings relative to other schools in the state', 'the following table shows highs rankings relative to other schools in the state', 'the following table shows highs rankings relative to other schools in the state', 'the following table shows high rankings relative to other schools in the state']
|
|
[
"but recent was born in australia",
"that reason was born in australia",
"but reason was born in australia",
"bertrasen was born in australia",
"berkson was born in australia"
] |
bergersen was born in australia
|
but recent was born in australia.
|
that reason was born in australia. but reason was born in australia. bertrasen was born in australia. berkson was born in australia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but recent was born in australia', 'that reason was born in australia', 'but reason was born in australia', 'bertrasen was born in australia', 'berkson was born in australia']
|
|
[
"it is approximately thirty-five miles northwest of chicago",
"it is approximately thirty-five miles north west of chicago",
"it is approximately thirty-five miles northwest of chicago",
"it is approximately thirty-five miles north west of chicago",
"it is approximately thirty-five miles northwest of chicago"
] |
it is approximately thirty five miles northwest of chicago
|
it is approximately thirty-five miles northwest of chicago.
|
it is approximately thirty-five miles north west of chicago. it is approximately thirty-five miles northwest of chicago. it is approximately thirty-five miles north west of chicago. it is approximately thirty-five miles northwest of chicago.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is approximately thirty-five miles northwest of chicago', 'it is approximately thirty-five miles north west of chicago', 'it is approximately thirty-five miles northwest of chicago', 'it is approximately thirty-five miles north west of chicago', 'it is approximately thirty-five miles northwest of chicago']
|
|
[
"it has been shown that inner sign has new protective properties",
"it has been shown that inner sign has new protective properties",
"it has been shown that innersign has new protective properties",
"it has been shown that inner sine has new protective properties",
"it has been shown that inner sign has new protective properties"
] |
it has been shown that inosine has neuroprotective properties
|
it has been shown that inner sign has new protective properties.
|
it has been shown that inner sign has new protective properties. it has been shown that innersign has new protective properties. it has been shown that inner sine has new protective properties. it has been shown that inner sign has new protective properties.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has been shown that inner sign has new protective properties', 'it has been shown that inner sign has new protective properties', 'it has been shown that innersign has new protective properties', 'it has been shown that inner sine has new protective properties', 'it has been shown that inner sign has new protective properties']
|
|
[
"municipality of mon mevisia covers the entire peninsula and part of the eastern coast",
"the municipality of manmi visya covers the entire peninsula and part of the eastern coast",
"municipality of mon vivicia covers the entire peninsula and part of the eastern coast",
"the municipality of mon mivesia covers the entire peninsula and part of the eastern coast",
"the municipality of mon mevisia covers the entire peninsula and part of the eastern coast"
] |
the municipality of monemvasia covers the entire peninsula and part of the eastern coast
|
municipality of mon mevisia covers the entire peninsula and part of the eastern coast.
|
the municipality of manmi visya covers the entire peninsula and part of the eastern coast. municipality of mon vivicia covers the entire peninsula and part of the eastern coast. the municipality of mon mivesia covers the entire peninsula and part of the eastern coast. the municipality of mon mevisia covers the entire peninsula and part of the eastern coast.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['municipality of mon mevisia covers the entire peninsula and part of the eastern coast', 'the municipality of manmi visya covers the entire peninsula and part of the eastern coast', 'municipality of mon vivicia covers the entire peninsula and part of the eastern coast', 'the municipality of mon mivesia covers the entire peninsula and part of the eastern coast', 'the municipality of mon mevisia covers the entire peninsula and part of the eastern coast']
|
|
[
"like dash celica is born again christian",
"like this celica is born again christian",
"like dash celica is born again christian",
"like dash seleka is born again christian",
"like this celica is born again christian"
] |
like tesh sellecca is a born again christian
|
like dash celica is born again christian.
|
like this celica is born again christian. like dash celica is born again christian. like dash seleka is born again christian. like this celica is born again christian.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['like dash celica is born again christian', 'like this celica is born again christian', 'like dash celica is born again christian', 'like dash seleka is born again christian', 'like this celica is born again christian']
|
|
[
"the matino has also been a very charismatic mentor and teacher",
"di matino has also been a very charismatic mentor and teacher",
"the martino has also been a very charismatic mentor and teacher",
"t matino has also been a very charismatic mentor and teacher",
"t martino has also been a very charismatic mentor and teacher"
] |
de martino has also been a very charismatic mentor and teacher
|
the matino has also been a very charismatic mentor and teacher.
|
di matino has also been a very charismatic mentor and teacher. the martino has also been a very charismatic mentor and teacher. t matino has also been a very charismatic mentor and teacher. t martino has also been a very charismatic mentor and teacher.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the matino has also been a very charismatic mentor and teacher', 'di matino has also been a very charismatic mentor and teacher', 'the martino has also been a very charismatic mentor and teacher', 't matino has also been a very charismatic mentor and teacher', 't martino has also been a very charismatic mentor and teacher']
|
|
[
"king is canyon is among the leading parks in this effort",
"king is canyon is among the leading parks in this effort",
"kings canyon is among the leading parks in this effort",
"king is canyon is among the leading parts in this effort",
"king is canyon is among the laden parks in this effort"
] |
kings canyon is among the leading parks in this effort
|
king is canyon is among the leading parks in this effort.
|
king is canyon is among the leading parks in this effort. kings canyon is among the leading parks in this effort. king is canyon is among the leading parts in this effort. king is canyon is among the laden parks in this effort.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['king is canyon is among the leading parks in this effort', 'king is canyon is among the leading parks in this effort', 'kings canyon is among the leading parks in this effort', 'king is canyon is among the leading parts in this effort', 'king is canyon is among the laden parks in this effort']
|
|
[
"this is often followed by then becoming eccentric or at least somewhat odd",
"this is often followed by then becoming eccentric or at least somewhat odd",
"this is often followed by them becoming eccentric or at least somewhat odd",
"this is often followed by them becoming eccentric or at least somewhat odd",
"this is often followed by them becoming eccentric or at least somewhat odd"
] |
this is often followed by them becoming eccentric or at least somewhat odd
|
this is often followed by then becoming eccentric or at least somewhat odd.
|
this is often followed by then becoming eccentric or at least somewhat odd. this is often followed by them becoming eccentric or at least somewhat odd. this is often followed by them becoming eccentric or at least somewhat odd. this is often followed by them becoming eccentric or at least somewhat odd.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is often followed by then becoming eccentric or at least somewhat odd', 'this is often followed by then becoming eccentric or at least somewhat odd', 'this is often followed by them becoming eccentric or at least somewhat odd', 'this is often followed by them becoming eccentric or at least somewhat odd', 'this is often followed by them becoming eccentric or at least somewhat odd']
|
|
[
"the episode was entitled the other cheek",
"the episode was entitled the other cheek",
"the episode was entitled the other chick",
"the episode was entitled the other chick",
"the episode was entitled the other chick"
] |
the episode was entitled the other cheek
|
the episode was entitled the other cheek.
|
the episode was entitled the other cheek. the episode was entitled the other chick. the episode was entitled the other chick. the episode was entitled the other chick.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the episode was entitled the other cheek', 'the episode was entitled the other cheek', 'the episode was entitled the other chick', 'the episode was entitled the other chick', 'the episode was entitled the other chick']
|
|
[
"offshoots of the band also form bigger and cold and incognito",
"offshoots of the band also form bigger and co and incognito",
"offshoots of the band also formed bigger and cold and incognito",
"offshoots of the band also formed bigger and co and incognito",
"offshoots of the band also form bigger and co an incognito"
] |
offshoots of the band also formed beggar and co and incognito
|
offshoots of the band also form bigger and cold and incognito.
|
offshoots of the band also form bigger and co and incognito. offshoots of the band also formed bigger and cold and incognito. offshoots of the band also formed bigger and co and incognito. offshoots of the band also form bigger and co an incognito.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['offshoots of the band also form bigger and cold and incognito', 'offshoots of the band also form bigger and co and incognito', 'offshoots of the band also formed bigger and cold and incognito', 'offshoots of the band also formed bigger and co and incognito', 'offshoots of the band also form bigger and co an incognito']
|
|
[
"he is currently ranked number one",
"he is currently ranked number one",
"he is currently ranked no one",
"he is currently ranked number one",
"he is currently ranked number one"
] |
he is currently ranked number one
|
he is currently ranked number one.
|
he is currently ranked number one. he is currently ranked no one. he is currently ranked number one. he is currently ranked number one.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is currently ranked number one', 'he is currently ranked number one', 'he is currently ranked no one', 'he is currently ranked number one', 'he is currently ranked number one']
|
|
[
"the nearest tube station is totridge and wetstone northern line on totridge lane",
"the nearest tube station is totrage and wetstone northern line on totrage lane",
"the nearest tube station is totorage and wetstone northern line on totorage lane",
"the nearest tube station is totteridge and wetstone northern line on totteridge lane",
"the nearest tube station is totbridge and wetstone northern line on totbridge lane"
] |
the nearest tube station is totteridge and whetstone northern line on totteridge lane
|
the nearest tube station is totridge and wetstone northern line on totridge lane.
|
the nearest tube station is totrage and wetstone northern line on totrage lane. the nearest tube station is totorage and wetstone northern line on totorage lane. the nearest tube station is totteridge and wetstone northern line on totteridge lane. the nearest tube station is totbridge and wetstone northern line on totbridge lane.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the nearest tube station is totridge and wetstone northern line on totridge lane', 'the nearest tube station is totrage and wetstone northern line on totrage lane', 'the nearest tube station is totorage and wetstone northern line on totorage lane', 'the nearest tube station is totteridge and wetstone northern line on totteridge lane', 'the nearest tube station is totbridge and wetstone northern line on totbridge lane']
|
|
[
"later an external box was made available with two more floppy drives",
"later an external box was made available with two more floppy drives",
"later an external box was made available with two more floppy darts",
"later an external box was made available with two more floppy darts",
"later an external box was made available with two more floppy drives"
] |
later an external box was made available with two more floppy drives
|
later an external box was made available with two more floppy drives.
|
later an external box was made available with two more floppy drives. later an external box was made available with two more floppy darts. later an external box was made available with two more floppy darts. later an external box was made available with two more floppy drives.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['later an external box was made available with two more floppy drives', 'later an external box was made available with two more floppy drives', 'later an external box was made available with two more floppy darts', 'later an external box was made available with two more floppy darts', 'later an external box was made available with two more floppy drives']
|
|
[
"the event is run there again now in a more modern atmosphere",
"the event is run there again now in a more modern atmosphere",
"the event is run there again now in a more modern atmosphere",
"the event is run there again now in a more modern atmosphere",
"the event is run there again now in a more modern atmosphere"
] |
the event is run there again now in a more modern atmosphere
|
the event is run there again now in a more modern atmosphere.
|
the event is run there again now in a more modern atmosphere. the event is run there again now in a more modern atmosphere. the event is run there again now in a more modern atmosphere. the event is run there again now in a more modern atmosphere.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the event is run there again now in a more modern atmosphere', 'the event is run there again now in a more modern atmosphere', 'the event is run there again now in a more modern atmosphere', 'the event is run there again now in a more modern atmosphere', 'the event is run there again now in a more modern atmosphere']
|
|
[
"seren guy customarily wear their universal translators as an implant in their ears",
"seren guy customarily wear their universal translators as an implant in their ears",
"seren gai customarily wear their universal translators as an implant in their ears",
"seren guys customarily wear their universal translators as an implant in their ears",
"serengyk customarily wear their universal translators as an implant in their ears"
] |
ferengi customarily wear their universal translators as an implant in their ears
|
seren guy customarily wear their universal translators as an implant in their ears.
|
seren guy customarily wear their universal translators as an implant in their ears. seren gai customarily wear their universal translators as an implant in their ears. seren guys customarily wear their universal translators as an implant in their ears. serengyk customarily wear their universal translators as an implant in their ears.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['seren guy customarily wear their universal translators as an implant in their ears', 'seren guy customarily wear their universal translators as an implant in their ears', 'seren gai customarily wear their universal translators as an implant in their ears', 'seren guys customarily wear their universal translators as an implant in their ears', 'serengyk customarily wear their universal translators as an implant in their ears']
|
|
[
"many people believed it to represent the biblical book of job",
"many people believed it to represent the biblical book of job",
"many people believed it to represent the biblical book of job",
"many people believed it to represent the biblical book of job",
"many people believed it to represent the biblical book of job"
] |
many people believed it to represent the biblical book of job
|
many people believed it to represent the biblical book of job.
|
many people believed it to represent the biblical book of job. many people believed it to represent the biblical book of job. many people believed it to represent the biblical book of job. many people believed it to represent the biblical book of job.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many people believed it to represent the biblical book of job', 'many people believed it to represent the biblical book of job', 'many people believed it to represent the biblical book of job', 'many people believed it to represent the biblical book of job', 'many people believed it to represent the biblical book of job']
|
|
[
"the band has largely meeting this lineup with a few expectations",
"the band has largely meeting this line up with a few expectations",
"the band has largely meeting this lineup for the few expectations",
"the band has largely meeting this line up for the few expectations",
"the band has largely been waiting this line up for the few expectations"
] |
the band has largely maintained this lineup with a few exceptions
|
the band has largely meeting this lineup with a few expectations.
|
the band has largely meeting this line up with a few expectations. the band has largely meeting this lineup for the few expectations. the band has largely meeting this line up for the few expectations. the band has largely been waiting this line up for the few expectations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the band has largely meeting this lineup with a few expectations', 'the band has largely meeting this line up with a few expectations', 'the band has largely meeting this lineup for the few expectations', 'the band has largely meeting this line up for the few expectations', 'the band has largely been waiting this line up for the few expectations']
|
|
[
"the engine was described as bus warm or just plain noisy",
"the engine was described as buzzworm or just plain noisy",
"the engine was described as buzz warm or just plain noisy",
"the engine was described as bus warmth or just plain noisy",
"the engine was described as bus worm or just plain noisy"
] |
the engine was described as a buzzbomb or just plain noisy
|
the engine was described as bus warm or just plain noisy.
|
the engine was described as buzzworm or just plain noisy. the engine was described as buzz warm or just plain noisy. the engine was described as bus warmth or just plain noisy. the engine was described as bus worm or just plain noisy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the engine was described as bus warm or just plain noisy', 'the engine was described as buzzworm or just plain noisy', 'the engine was described as buzz warm or just plain noisy', 'the engine was described as bus warmth or just plain noisy', 'the engine was described as bus worm or just plain noisy']
|
|
[
"throughout her lifetime sarah hughes was known for her speedy and impartial administration",
"throughout her lifetime sarah hughes was known for her speedy and impartial administration",
"throughout her lifetime sarah hughes was known for a speedy and impartial administration",
"throughout her lifetime sarah hughes was known for a speedy and impartial administration",
"throughout her life time sarah hughes was known for her speedy and impartial administration"
] |
throughout her lifetime sarah hughes was known for her speedy and impartial administration
|
throughout her lifetime sarah hughes was known for her speedy and impartial administration.
|
throughout her lifetime sarah hughes was known for her speedy and impartial administration. throughout her lifetime sarah hughes was known for a speedy and impartial administration. throughout her lifetime sarah hughes was known for a speedy and impartial administration. throughout her life time sarah hughes was known for her speedy and impartial administration.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['throughout her lifetime sarah hughes was known for her speedy and impartial administration', 'throughout her lifetime sarah hughes was known for her speedy and impartial administration', 'throughout her lifetime sarah hughes was known for a speedy and impartial administration', 'throughout her lifetime sarah hughes was known for a speedy and impartial administration', 'throughout her life time sarah hughes was known for her speedy and impartial administration']
|
|
[
"safe patient care and protecting the public are priorities",
"safe patient care and protecting the public are our priorities",
"safe patient care and protecting the public are priorities",
"save patient care and protecting the public are priorities",
"save patient care and protecting the public or our priorities"
] |
safe patient care and protecting the public are our priorities
|
safe patient care and protecting the public are priorities.
|
safe patient care and protecting the public are our priorities. safe patient care and protecting the public are priorities. save patient care and protecting the public are priorities. save patient care and protecting the public or our priorities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['safe patient care and protecting the public are priorities', 'safe patient care and protecting the public are our priorities', 'safe patient care and protecting the public are priorities', 'save patient care and protecting the public are priorities', 'save patient care and protecting the public or our priorities']
|
|
[
"this allows the soil to resist erosion better than if it were dried",
"this allows the soil to resist erosion better than if it were dry",
"this alums the soil to resist erosion better than if it were dried",
"this allows the soil to rest its erosion better than if it were dried",
"this allows the soil to rest his erosion better than if it were dried"
] |
this allows the soil to resist erosion better than if it were dry
|
this allows the soil to resist erosion better than if it were dried.
|
this allows the soil to resist erosion better than if it were dry. this alums the soil to resist erosion better than if it were dried. this allows the soil to rest its erosion better than if it were dried. this allows the soil to rest his erosion better than if it were dried.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this allows the soil to resist erosion better than if it were dried', 'this allows the soil to resist erosion better than if it were dry', 'this alums the soil to resist erosion better than if it were dried', 'this allows the soil to rest its erosion better than if it were dried', 'this allows the soil to rest his erosion better than if it were dried']
|
|
[
"his wife and marie died of a brain tumor during his imprisonment",
"his wife ann marie died of a brain tumor during his imprisonment",
"his wife and marie died of a brain chima during his imprisonment",
"his wife ann marie died of a brain chima during his imprisonment",
"his wife and marie died of a brain tumor during his imprisonment"
] |
his wife anne marie died of a brain tumor during his imprisonment
|
his wife and marie died of a brain tumor during his imprisonment.
|
his wife ann marie died of a brain tumor during his imprisonment. his wife and marie died of a brain chima during his imprisonment. his wife ann marie died of a brain chima during his imprisonment. his wife and marie died of a brain tumor during his imprisonment.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his wife and marie died of a brain tumor during his imprisonment', 'his wife ann marie died of a brain tumor during his imprisonment', 'his wife and marie died of a brain chima during his imprisonment', 'his wife ann marie died of a brain chima during his imprisonment', 'his wife and marie died of a brain tumor during his imprisonment']
|
|
[
"uncompleted stories such as marvel man and v for rendetta were completed elsewhere",
"uncompleeted stories such as marvel man and v for rendetta were completed elsewhere",
"uncompleaded stories such as marvel man and v for rendetta were completed elsewhere",
"uncom pleaded stories such as marvel man and v for rendetta were completed elsewhere",
"uncompleeted stories such as marvel man and v for rendetta were completed elsewhere"
] |
uncompleted stories such as marvelman and v for vendetta were completed elsewhere
|
uncompleted stories such as marvel man and v for rendetta were completed elsewhere.
|
uncompleeted stories such as marvel man and v for rendetta were completed elsewhere. uncompleaded stories such as marvel man and v for rendetta were completed elsewhere. uncom pleaded stories such as marvel man and v for rendetta were completed elsewhere. uncompleeted stories such as marvel man and v for rendetta were completed elsewhere.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['uncompleted stories such as marvel man and v for rendetta were completed elsewhere', 'uncompleeted stories such as marvel man and v for rendetta were completed elsewhere', 'uncompleaded stories such as marvel man and v for rendetta were completed elsewhere', 'uncom pleaded stories such as marvel man and v for rendetta were completed elsewhere', 'uncompleeted stories such as marvel man and v for rendetta were completed elsewhere']
|
|
[
"during that time couples could request permission to have more than one child",
"during the time couples could request permission to have more than one child",
"during that time couples could request permission to have more than one child",
"during the time couples could request permission to have more than one child",
"during that time couples could request permission to have more than one child"
] |
during that time couples could request permission to have more than one child
|
during that time couples could request permission to have more than one child.
|
during the time couples could request permission to have more than one child. during that time couples could request permission to have more than one child. during the time couples could request permission to have more than one child. during that time couples could request permission to have more than one child.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during that time couples could request permission to have more than one child', 'during the time couples could request permission to have more than one child', 'during that time couples could request permission to have more than one child', 'during the time couples could request permission to have more than one child', 'during that time couples could request permission to have more than one child']
|
|
[
"this is where the true wild mouse section of the roller coaster begins",
"this is where the true wild mouth section of the roller coaster begins",
"this is where the true wild mouth section of the roller coaster begins",
"this is where the true wild mouse section of the rollercoaster begins",
"this is where the true wild mouse section of the roller poster begins"
] |
this is where the true wild mouse section of the roller coaster begins
|
this is where the true wild mouse section of the roller coaster begins.
|
this is where the true wild mouth section of the roller coaster begins. this is where the true wild mouth section of the roller coaster begins. this is where the true wild mouse section of the rollercoaster begins. this is where the true wild mouse section of the roller poster begins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is where the true wild mouse section of the roller coaster begins', 'this is where the true wild mouth section of the roller coaster begins', 'this is where the true wild mouth section of the roller coaster begins', 'this is where the true wild mouse section of the rollercoaster begins', 'this is where the true wild mouse section of the roller poster begins']
|
|
[
"the university provides various higher education programs up to doctoral level",
"the university provides various higher education programs up to doctoral level",
"the university provides various higher education programs up to doctoral level",
"the university provides various higher education programs up to doctoral level",
"the university provides various higher education programs up to doctoral level"
] |
the university provides various higher education programs up to doctoral level
|
the university provides various higher education programs up to doctoral level.
|
the university provides various higher education programs up to doctoral level. the university provides various higher education programs up to doctoral level. the university provides various higher education programs up to doctoral level. the university provides various higher education programs up to doctoral level.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the university provides various higher education programs up to doctoral level', 'the university provides various higher education programs up to doctoral level', 'the university provides various higher education programs up to doctoral level', 'the university provides various higher education programs up to doctoral level', 'the university provides various higher education programs up to doctoral level']
|
|
[
"it appears that the war had do not explode",
"it appears that the war had to not explode",
"it appears that the war had did not explode",
"it appears that the war had not explode",
"it appears that the war had did not explode"
] |
it appears that the warhead did not explode
|
it appears that the war had do not explode.
|
it appears that the war had to not explode. it appears that the war had did not explode. it appears that the war had not explode. it appears that the war had did not explode.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it appears that the war had do not explode', 'it appears that the war had to not explode', 'it appears that the war had did not explode', 'it appears that the war had not explode', 'it appears that the war had did not explode']
|
|
[
"the stress producer of both on board clock types spectra temp declined to come",
"the stress producer of both on board clock types spectra temp declined to come out",
"the stress producer of both onward clock types spectra temp declined to come",
"the stress producer of both on board clock types spectra temp declined it to come out",
"the stress producer of both on board clock types spectra time declined to come"
] |
the swiss producer of both onboard clocktypes spectratime declined to comment
|
the stress producer of both on board clock types spectra temp declined to come.
|
the stress producer of both on board clock types spectra temp declined to come out. the stress producer of both onward clock types spectra temp declined to come. the stress producer of both on board clock types spectra temp declined it to come out. the stress producer of both on board clock types spectra time declined to come.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stress producer of both on board clock types spectra temp declined to come', 'the stress producer of both on board clock types spectra temp declined to come out', 'the stress producer of both onward clock types spectra temp declined to come', 'the stress producer of both on board clock types spectra temp declined it to come out', 'the stress producer of both on board clock types spectra time declined to come']
|
|
[
"accessibility considerably increased after construction of this cause way",
"accessibility considerably increased after construction of this causeway",
"accessibility considerably increased after construction of this course way",
"accessibility considerably increased up to construction of this cause way",
"accessibility considerably increased after construction of this cause way"
] |
accessibility considerably increased after construction of this causeway
|
accessibility considerably increased after construction of this cause way.
|
accessibility considerably increased after construction of this causeway. accessibility considerably increased after construction of this course way. accessibility considerably increased up to construction of this cause way. accessibility considerably increased after construction of this cause way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['accessibility considerably increased after construction of this cause way', 'accessibility considerably increased after construction of this causeway', 'accessibility considerably increased after construction of this course way', 'accessibility considerably increased up to construction of this cause way', 'accessibility considerably increased after construction of this cause way']
|
|
[
"in protest against the kuru ketro where vidura resigned from the post of minister",
"in protest against the kuru ketro where vidura resigned from the post of minister",
"in protest against the kuru ketro where vidura resigned from the post of minister",
"in protest against the kuukitro where vidura resigned from the post of minister",
"in protest against the kuukitro where vidura resigned from the post of minister"
] |
in protest against the kurukshetra war vidura resigned from the post of minister
|
in protest against the kuru ketro where vidura resigned from the post of minister.
|
in protest against the kuru ketro where vidura resigned from the post of minister. in protest against the kuru ketro where vidura resigned from the post of minister. in protest against the kuukitro where vidura resigned from the post of minister. in protest against the kuukitro where vidura resigned from the post of minister.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in protest against the kuru ketro where vidura resigned from the post of minister', 'in protest against the kuru ketro where vidura resigned from the post of minister', 'in protest against the kuru ketro where vidura resigned from the post of minister', 'in protest against the kuukitro where vidura resigned from the post of minister', 'in protest against the kuukitro where vidura resigned from the post of minister']
|
|
[
"the roadway has remained the state of highway since",
"the roadway has remained a state of highway since",
"the roadway has remained the state of highway since",
"the roadway it has remained the state of highway since",
"the roadway has remained the stay of highway since"
] |
the roadway has remained a state highway since
|
the roadway has remained the state of highway since.
|
the roadway has remained a state of highway since. the roadway has remained the state of highway since. the roadway it has remained the state of highway since. the roadway has remained the stay of highway since.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the roadway has remained the state of highway since', 'the roadway has remained a state of highway since', 'the roadway has remained the state of highway since', 'the roadway it has remained the state of highway since', 'the roadway has remained the stay of highway since']
|
|
[
"after his release from brisbane madokka signed a two year deal with melbourne heart",
"after his release from brisbane madoka signed a two year deal with melbourne heart",
"after his release from brisbane madoka signed a two year deal with noven hart",
"after his release from brisbane medocca signed a two year deal with melbourne heart",
"after his release from brisbane madokka signed a two year deal with noven hart"
] |
after his release from brisbane murdocca signed a two year deal with melbourne heart
|
after his release from brisbane madokka signed a two year deal with melbourne heart.
|
after his release from brisbane madoka signed a two year deal with melbourne heart. after his release from brisbane madoka signed a two year deal with noven hart. after his release from brisbane medocca signed a two year deal with melbourne heart. after his release from brisbane madokka signed a two year deal with noven hart.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after his release from brisbane madokka signed a two year deal with melbourne heart', 'after his release from brisbane madoka signed a two year deal with melbourne heart', 'after his release from brisbane madoka signed a two year deal with noven hart', 'after his release from brisbane medocca signed a two year deal with melbourne heart', 'after his release from brisbane madokka signed a two year deal with noven hart']
|
|
[
"in july she participated in a good world tour of moroccan ports",
"in july she participated in a good world tour of mark and ports",
"in july she participated in a good virtual tour of mark and ports",
"in july she participated in a good world tour of mark ports",
"in july she participated in a good virtual tour of mark ports"
] |
in july she participated in a good will tour of moroccan ports
|
in july she participated in a good world tour of moroccan ports.
|
in july she participated in a good world tour of mark and ports. in july she participated in a good virtual tour of mark and ports. in july she participated in a good world tour of mark ports. in july she participated in a good virtual tour of mark ports.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in july she participated in a good world tour of moroccan ports', 'in july she participated in a good world tour of mark and ports', 'in july she participated in a good virtual tour of mark and ports', 'in july she participated in a good world tour of mark ports', 'in july she participated in a good virtual tour of mark ports']
|
|
[
"pollucinations and odd behavior are evident quite quickly in some contestants",
"illusion nations and odd behavior are evident quite quickly in some contestants",
"hallucinations and odd behavior are evident quite quickly in some contestants",
"illusionation and odd behavior are evident quite quickly in some contestants",
"illusionations and odd behavior are evident quite quickly in some contestants"
] |
hallucinations and odd behavior were evident quite quickly in some contestants
|
pollucinations and odd behavior are evident quite quickly in some contestants.
|
illusion nations and odd behavior are evident quite quickly in some contestants. hallucinations and odd behavior are evident quite quickly in some contestants. illusionation and odd behavior are evident quite quickly in some contestants. illusionations and odd behavior are evident quite quickly in some contestants.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pollucinations and odd behavior are evident quite quickly in some contestants', 'illusion nations and odd behavior are evident quite quickly in some contestants', 'hallucinations and odd behavior are evident quite quickly in some contestants', 'illusionation and odd behavior are evident quite quickly in some contestants', 'illusionations and odd behavior are evident quite quickly in some contestants']
|
|
[
"despite that the older name is still in use",
"despite that the all the name is still in use",
"despite that the old name is still in use",
"despite that the order name is still in use",
"despite that the older name is still in use"
] |
despite that the older name is still in use
|
despite that the older name is still in use.
|
despite that the all the name is still in use. despite that the old name is still in use. despite that the order name is still in use. despite that the older name is still in use.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['despite that the older name is still in use', 'despite that the all the name is still in use', 'despite that the old name is still in use', 'despite that the order name is still in use', 'despite that the older name is still in use']
|
|
[
"there are five stands in total",
"there are five stands in total",
"there are five stands in total",
"there are five stands in total",
"there are five stands in total"
] |
there are five stands in total
|
there are five stands in total.
|
there are five stands in total. there are five stands in total. there are five stands in total. there are five stands in total.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are five stands in total', 'there are five stands in total', 'there are five stands in total', 'there are five stands in total', 'there are five stands in total']
|
|
[
"it was some slight damage as rishal",
"this was some slight damage as rishal",
"there was some slight damage as rishal",
"they were some slight damage as rishal",
"it was some slight damage as result"
] |
there was some slight damage as a result
|
it was some slight damage as rishal.
|
this was some slight damage as rishal. there was some slight damage as rishal. they were some slight damage as rishal. it was some slight damage as result.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was some slight damage as rishal', 'this was some slight damage as rishal', 'there was some slight damage as rishal', 'they were some slight damage as rishal', 'it was some slight damage as result']
|
|
[
"moreover modern evangelical protestant denominations are spreading worldwide including latvia",
"moreover modern evangelical protestant denominations are spreading worldwide including latvia",
"moreover modern evangelical protestant denominations are spreading worldwide including latvia",
"moreover modern evangelical protestant denominations are spreading worldwide including latvia",
"moreover modern evangelical protestant denominations are spreading worldwide including latvia"
] |
moreover modern evangelical protestant denominations are spreading worldwide including latvia
|
moreover modern evangelical protestant denominations are spreading worldwide including latvia.
|
moreover modern evangelical protestant denominations are spreading worldwide including latvia. moreover modern evangelical protestant denominations are spreading worldwide including latvia. moreover modern evangelical protestant denominations are spreading worldwide including latvia. moreover modern evangelical protestant denominations are spreading worldwide including latvia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['moreover modern evangelical protestant denominations are spreading worldwide including latvia', 'moreover modern evangelical protestant denominations are spreading worldwide including latvia', 'moreover modern evangelical protestant denominations are spreading worldwide including latvia', 'moreover modern evangelical protestant denominations are spreading worldwide including latvia', 'moreover modern evangelical protestant denominations are spreading worldwide including latvia']
|
|
[
"queenie is buried a elephant in sanitary in saint louis",
"queenie is buried a elephant in sanitary in saint louis",
"queenies buried a elephant in sanitary in saint louis",
"queenie is buried a elephant in sanitary in saint louis",
"queenies buried a elephant in sanitary in saint louis"
] |
queeny is buried at bellefontaine cemetery in saint louis
|
queenie is buried a elephant in sanitary in saint louis.
|
queenie is buried a elephant in sanitary in saint louis. queenies buried a elephant in sanitary in saint louis. queenie is buried a elephant in sanitary in saint louis. queenies buried a elephant in sanitary in saint louis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['queenie is buried a elephant in sanitary in saint louis', 'queenie is buried a elephant in sanitary in saint louis', 'queenies buried a elephant in sanitary in saint louis', 'queenie is buried a elephant in sanitary in saint louis', 'queenies buried a elephant in sanitary in saint louis']
|
|
[
"this is the x mov i do not fancy the blitz but i do the job anyway",
"this is the ex morph i do not fancy the blitz but i do the job anyway",
"this is the x moth i do not fancy the blitz but i do the job anyway",
"this is the x morph i do not fancy the blitz but i do the job anyway",
"this is the x math i do not fancy the blitz but i do the job anyway"
] |
his reaction was i do not fancy the place but he took the job anyway
|
this is the x mov i do not fancy the blitz but i do the job anyway.
|
this is the ex morph i do not fancy the blitz but i do the job anyway. this is the x moth i do not fancy the blitz but i do the job anyway. this is the x morph i do not fancy the blitz but i do the job anyway. this is the x math i do not fancy the blitz but i do the job anyway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is the x mov i do not fancy the blitz but i do the job anyway', 'this is the ex morph i do not fancy the blitz but i do the job anyway', 'this is the x moth i do not fancy the blitz but i do the job anyway', 'this is the x morph i do not fancy the blitz but i do the job anyway', 'this is the x math i do not fancy the blitz but i do the job anyway']
|
|
[
"a young child is jumping off the yellow stool inside a room in a house",
"a young child is jumping off the yellow soil inside a room in a house",
"a young child is jumping off the yellow stool inside of a room in a house",
"a young child is jumping off the yellow stool inside a room in a house",
"a young child is jumping off the yellow stool inside of a room in a house"
] |
a young child is jumping off a yellow stool inside a room in a house
|
a young child is jumping off the yellow stool inside a room in a house.
|
a young child is jumping off the yellow soil inside a room in a house. a young child is jumping off the yellow stool inside of a room in a house. a young child is jumping off the yellow stool inside a room in a house. a young child is jumping off the yellow stool inside of a room in a house.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a young child is jumping off the yellow stool inside a room in a house', 'a young child is jumping off the yellow soil inside a room in a house', 'a young child is jumping off the yellow stool inside of a room in a house', 'a young child is jumping off the yellow stool inside a room in a house', 'a young child is jumping off the yellow stool inside of a room in a house']
|
|
[
"the older women were a short piece of cloth wrapped around their waist only",
"the older women wear a short piece of cloth wrapped around their waist only",
"the older women were a short piece of cloth wrapped around their waist only",
"the older women wear a short piece of cloth wrapped around their waist only",
"the older women we are a short piece of cloth wrapped around their waist only"
] |
the older women wear a short piece of cloth wrapped around their waist only
|
the older women were a short piece of cloth wrapped around their waist only.
|
the older women wear a short piece of cloth wrapped around their waist only. the older women were a short piece of cloth wrapped around their waist only. the older women wear a short piece of cloth wrapped around their waist only. the older women we are a short piece of cloth wrapped around their waist only.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the older women were a short piece of cloth wrapped around their waist only', 'the older women wear a short piece of cloth wrapped around their waist only', 'the older women were a short piece of cloth wrapped around their waist only', 'the older women wear a short piece of cloth wrapped around their waist only', 'the older women we are a short piece of cloth wrapped around their waist only']
|
|
[
"in the book justice renard is called madhav rather than mahadeo",
"in the book justice renard is called madhav rather than mahadeo",
"in the book justice renard is called mahadeo rather than mahadeo",
"in the book justice renard is called mahadeo rather than mahadeo",
"in the book justice renard is called madhav rather than mahadeo"
] |
in the book justice ranade is called madhav rather than mahadeo
|
in the book justice renard is called madhav rather than mahadeo.
|
in the book justice renard is called madhav rather than mahadeo. in the book justice renard is called mahadeo rather than mahadeo. in the book justice renard is called mahadeo rather than mahadeo. in the book justice renard is called madhav rather than mahadeo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the book justice renard is called madhav rather than mahadeo', 'in the book justice renard is called madhav rather than mahadeo', 'in the book justice renard is called mahadeo rather than mahadeo', 'in the book justice renard is called mahadeo rather than mahadeo', 'in the book justice renard is called madhav rather than mahadeo']
|
|
[
"a handful of separate specifications define additional v card properties",
"a handful of separate specifications define additional v card properties",
"a handful of separate specifications define additional v card properties",
"a handful of separate specifications to find additional v card properties",
"a handful of separate specifications define additional v card properties"
] |
a handful of separate specifications define additional vcard properties
|
a handful of separate specifications define additional v card properties.
|
a handful of separate specifications define additional v card properties. a handful of separate specifications define additional v card properties. a handful of separate specifications to find additional v card properties. a handful of separate specifications define additional v card properties.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a handful of separate specifications define additional v card properties', 'a handful of separate specifications define additional v card properties', 'a handful of separate specifications define additional v card properties', 'a handful of separate specifications to find additional v card properties', 'a handful of separate specifications define additional v card properties']
|
|
[
"for several years toiletoki manufacturing boomed at the hina factory",
"for several years toyotoki manufacturing boomed at the hina factory",
"for several years toil tocky manufacturing boomed at the hina factory",
"for several years toil toki manufacturing boomed at the hina factory",
"for several years toil toky manufacturing boomed at the hina factory"
] |
for several years toyo tokei manufacturing boomed at the hino factory
|
for several years toiletoki manufacturing boomed at the hina factory.
|
for several years toyotoki manufacturing boomed at the hina factory. for several years toil tocky manufacturing boomed at the hina factory. for several years toil toki manufacturing boomed at the hina factory. for several years toil toky manufacturing boomed at the hina factory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for several years toiletoki manufacturing boomed at the hina factory', 'for several years toyotoki manufacturing boomed at the hina factory', 'for several years toil tocky manufacturing boomed at the hina factory', 'for several years toil toki manufacturing boomed at the hina factory', 'for several years toil toky manufacturing boomed at the hina factory']
|
|
[
"shau jahan remains in service with the pakistan navy",
"shal jahan remains in service with the pakistan navy",
"shao jahan remains in service with the pakistan navy",
"shah jahan remains in service with the pakistan navy",
"xiao ja han remains in service with the pakistan navy"
] |
shah jahan remains in service with the pakistan navy
|
shau jahan remains in service with the pakistan navy.
|
shal jahan remains in service with the pakistan navy. shao jahan remains in service with the pakistan navy. shah jahan remains in service with the pakistan navy. xiao ja han remains in service with the pakistan navy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shau jahan remains in service with the pakistan navy', 'shal jahan remains in service with the pakistan navy', 'shao jahan remains in service with the pakistan navy', 'shah jahan remains in service with the pakistan navy', 'xiao ja han remains in service with the pakistan navy']
|
|
[
"ties exist with schools in china vietnam and united states",
"with schools in china vietnam and united states",
"with schools in china vietnam and united states",
"ties exist with schools in china vietnam and united states",
"ties exist with schools in china vietnam and united states"
] |
ties exist with schools in china vietnam and the united states
|
ties exist with schools in china vietnam and united states.
|
with schools in china vietnam and united states. with schools in china vietnam and united states. ties exist with schools in china vietnam and united states. ties exist with schools in china vietnam and united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ties exist with schools in china vietnam and united states', 'with schools in china vietnam and united states', 'with schools in china vietnam and united states', 'ties exist with schools in china vietnam and united states', 'ties exist with schools in china vietnam and united states']
|
|
[
"the reply was unsatisfactory and the king was informed that she was simulating",
"the reply was unsatisfactory and the king was informed that she was simulating",
"the reply was unsatisfactory and the king was informed that she was simulating",
"the reply was unsatisfactory and the king was informed that she was simulating",
"the reply was unsatisfactory and the king was informed that she was simulating"
] |
the reply was unsatisfactory and the king was informed that she was simulating
|
the reply was unsatisfactory and the king was informed that she was simulating.
|
the reply was unsatisfactory and the king was informed that she was simulating. the reply was unsatisfactory and the king was informed that she was simulating. the reply was unsatisfactory and the king was informed that she was simulating. the reply was unsatisfactory and the king was informed that she was simulating.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the reply was unsatisfactory and the king was informed that she was simulating', 'the reply was unsatisfactory and the king was informed that she was simulating', 'the reply was unsatisfactory and the king was informed that she was simulating', 'the reply was unsatisfactory and the king was informed that she was simulating', 'the reply was unsatisfactory and the king was informed that she was simulating']
|
|
[
"malphony was born and raised in brooklyn new york",
"malphoney was born and raised in brooklyn new york",
"malphurony was born and raised in brooklyn new york",
"number twenty was born and raised in brooklyn new york",
"malphoni was born and raised in brooklyn new york"
] |
mulrooney was born and raised in brooklyn new york
|
malphony was born and raised in brooklyn new york.
|
malphoney was born and raised in brooklyn new york. malphurony was born and raised in brooklyn new york. number twenty was born and raised in brooklyn new york. malphoni was born and raised in brooklyn new york.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['malphony was born and raised in brooklyn new york', 'malphoney was born and raised in brooklyn new york', 'malphurony was born and raised in brooklyn new york', 'number twenty was born and raised in brooklyn new york', 'malphoni was born and raised in brooklyn new york']
|
|
[
"konka has the ability to use a slingshot to defeat enemies",
"kongka has the ability to use a slingshot to defeat enemies",
"kanka has the ability to use a slingshot to defeat enemies",
"conka has the ability to use a slingshot to defeat enemies",
"konga has the ability to use a slingshot to defeat enemies"
] |
conker has the ability to use a slingshot to defeat enemies
|
konka has the ability to use a slingshot to defeat enemies.
|
kongka has the ability to use a slingshot to defeat enemies. kanka has the ability to use a slingshot to defeat enemies. conka has the ability to use a slingshot to defeat enemies. konga has the ability to use a slingshot to defeat enemies.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['konka has the ability to use a slingshot to defeat enemies', 'kongka has the ability to use a slingshot to defeat enemies', 'kanka has the ability to use a slingshot to defeat enemies', 'conka has the ability to use a slingshot to defeat enemies', 'konga has the ability to use a slingshot to defeat enemies']
|
|
[
"lyrics by brent oberlin",
"lyrics by brent oberlin",
"lydix by brent oberlin",
"lidix by brent oberlin",
"linux by brent oberlin"
] |
lyrics by brent oberlin
|
lyrics by brent oberlin.
|
lyrics by brent oberlin. lydix by brent oberlin. lidix by brent oberlin. linux by brent oberlin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lyrics by brent oberlin', 'lyrics by brent oberlin', 'lydix by brent oberlin', 'lidix by brent oberlin', 'linux by brent oberlin']
|
|
[
"however in music a persona does not always mean a change",
"however in music a persona does not always mean a change",
"however in music a person that does not always mean a change",
"however in music a person who does not always mean a change",
"however in music a persona does not always mean a change"
] |
however in music a persona does not always mean a change
|
however in music a persona does not always mean a change.
|
however in music a persona does not always mean a change. however in music a person that does not always mean a change. however in music a person who does not always mean a change. however in music a persona does not always mean a change.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however in music a persona does not always mean a change', 'however in music a persona does not always mean a change', 'however in music a person that does not always mean a change', 'however in music a person who does not always mean a change', 'however in music a persona does not always mean a change']
|
|
[
"the verses follow a court progression of b e b f",
"the verses follow a chord progression of b e b f",
"the verses follow a chord progression of b a b f",
"the verses follow a code progression of b e b f",
"the verses follow a court progression of b a b f"
] |
the verses follow a chord progression of b e b f
|
the verses follow a court progression of b e b f.
|
the verses follow a chord progression of b e b f. the verses follow a chord progression of b a b f. the verses follow a code progression of b e b f. the verses follow a court progression of b a b f.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the verses follow a court progression of b e b f', 'the verses follow a chord progression of b e b f', 'the verses follow a chord progression of b a b f', 'the verses follow a code progression of b e b f', 'the verses follow a court progression of b a b f']
|
|
[
"providae is a british flight nightly satirical magazine",
"privatay is a british flight nightly satirical magazine",
"privatized is a british flight nightly satirical magazine",
"private eye is a british flight nightly satirical magazine",
"privatize is a british flight nightly satirical magazine"
] |
private eye is a british fortnightly satirical magazine
|
providae is a british flight nightly satirical magazine.
|
privatay is a british flight nightly satirical magazine. privatized is a british flight nightly satirical magazine. private eye is a british flight nightly satirical magazine. privatize is a british flight nightly satirical magazine.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['providae is a british flight nightly satirical magazine', 'privatay is a british flight nightly satirical magazine', 'privatized is a british flight nightly satirical magazine', 'private eye is a british flight nightly satirical magazine', 'privatize is a british flight nightly satirical magazine']
|
|
[
"the audience is the same",
"the audience is the same",
"the audience is the same",
"the audience is the same",
"the audience is the same"
] |
the audience is the same
|
the audience is the same.
|
the audience is the same. the audience is the same. the audience is the same. the audience is the same.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the audience is the same', 'the audience is the same', 'the audience is the same', 'the audience is the same', 'the audience is the same']
|
|
[
"toyota suzuki play the top league home games at mizuro rugby stadium in nagoya",
"tiora suki play the top league home games at mizuro rugby stadium in nagoya",
"tiora suki play the top league home games at mijuro rugby stadium in nagoya",
"tsuyura soki play the top league home games at mizuro rugby stadium in nagoya",
"toyota suki play the top league home games at mizuro rugby stadium in nagoya"
] |
toyota shokki play their top league home games at mizuho rugby stadium in nagoya
|
toyota suzuki play the top league home games at mizuro rugby stadium in nagoya.
|
tiora suki play the top league home games at mizuro rugby stadium in nagoya. tiora suki play the top league home games at mijuro rugby stadium in nagoya. tsuyura soki play the top league home games at mizuro rugby stadium in nagoya. toyota suki play the top league home games at mizuro rugby stadium in nagoya.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['toyota suzuki play the top league home games at mizuro rugby stadium in nagoya', 'tiora suki play the top league home games at mizuro rugby stadium in nagoya', 'tiora suki play the top league home games at mijuro rugby stadium in nagoya', 'tsuyura soki play the top league home games at mizuro rugby stadium in nagoya', 'toyota suki play the top league home games at mizuro rugby stadium in nagoya']
|
|
[
"oppose therefore form a hierarchy",
"oppose therefore form a hierarchy",
"opponents therefore form a hierarchy",
"opponents therefore form a hierarchy",
"the bones therefore form a hierarchy"
] |
the bones therefore form a hierarchy
|
oppose therefore form a hierarchy.
|
oppose therefore form a hierarchy. opponents therefore form a hierarchy. opponents therefore form a hierarchy. the bones therefore form a hierarchy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['oppose therefore form a hierarchy', 'oppose therefore form a hierarchy', 'opponents therefore form a hierarchy', 'opponents therefore form a hierarchy', 'the bones therefore form a hierarchy']
|
|
[
"because of the preponderance of temples obama is sometimes called narra by the sea",
"because of the preponderance of temples obama is sometimes called nara by the sea",
"because of a preponderance of temples obama is sometimes called narra by the sea",
"because of a preponderance of temples obama is sometimes called nara by the sea",
"because of the preponderance of temples obama is sometimes called narara by the sea"
] |
because of the preponderance of temples obama is sometimes called nara by the sea
|
because of the preponderance of temples obama is sometimes called narra by the sea.
|
because of the preponderance of temples obama is sometimes called nara by the sea. because of a preponderance of temples obama is sometimes called narra by the sea. because of a preponderance of temples obama is sometimes called nara by the sea. because of the preponderance of temples obama is sometimes called narara by the sea.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['because of the preponderance of temples obama is sometimes called narra by the sea', 'because of the preponderance of temples obama is sometimes called nara by the sea', 'because of a preponderance of temples obama is sometimes called narra by the sea', 'because of a preponderance of temples obama is sometimes called nara by the sea', 'because of the preponderance of temples obama is sometimes called narara by the sea']
|
|
[
"the city of damascus functions as a coronerate elistic and sub district",
"the city of damascus functions as a coronerate elistic and subdistrict",
"the city of damascus functions as a governorate elistic and sub district",
"the city of damascus functions as a coronerate elastic and sub district",
"the city of damascus functions as a governorate elasticed and sub district"
] |
the city of damascus functions as a governorate a district and a subdistrict
|
the city of damascus functions as a coronerate elistic and sub district.
|
the city of damascus functions as a coronerate elistic and subdistrict. the city of damascus functions as a governorate elistic and sub district. the city of damascus functions as a coronerate elastic and sub district. the city of damascus functions as a governorate elasticed and sub district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city of damascus functions as a coronerate elistic and sub district', 'the city of damascus functions as a coronerate elistic and subdistrict', 'the city of damascus functions as a governorate elistic and sub district', 'the city of damascus functions as a coronerate elastic and sub district', 'the city of damascus functions as a governorate elasticed and sub district']
|
|
[
"he lives in england with his american partner",
"he lays in england with his american partner",
"he lives in england with his american partner",
"he lays in england with his american partner",
"he lives in england with his american partner"
] |
he lives in england with his american partner
|
he lives in england with his american partner.
|
he lays in england with his american partner. he lives in england with his american partner. he lays in england with his american partner. he lives in england with his american partner.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he lives in england with his american partner', 'he lays in england with his american partner', 'he lives in england with his american partner', 'he lays in england with his american partner', 'he lives in england with his american partner']
|
|
[
"the green party is best seat in the province also came in ottawa center",
"the green party is best seat in the province also came in ottawa center",
"the green parties best seat in the province also came in ottawa center",
"the green party is best seat in the province also came in ottawa center",
"the green party is best seat in the province also came in ottawa is center"
] |
the green party is best seat in the province also came in ottawa center
|
the green party is best seat in the province also came in ottawa center.
|
the green party is best seat in the province also came in ottawa center. the green parties best seat in the province also came in ottawa center. the green party is best seat in the province also came in ottawa center. the green party is best seat in the province also came in ottawa is center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the green party is best seat in the province also came in ottawa center', 'the green party is best seat in the province also came in ottawa center', 'the green parties best seat in the province also came in ottawa center', 'the green party is best seat in the province also came in ottawa center', 'the green party is best seat in the province also came in ottawa is center']
|
|
[
"dan maje found it necessary to raid so as to recruit slaves into his ranks",
"dan maje found it necessary to raid so as to recruit slaves into his ranks",
"dan majey found it necessary to raid so as to recruit slaves into his ranks",
"dan maje found it necessary to rate so as to recruit slaves into his ranks",
"dan majay found it necessary to raid so as to recruit slaves into his ranks"
] |
danmaje found it necessary to raid so as to recruit slaves into his ranks
|
dan maje found it necessary to raid so as to recruit slaves into his ranks.
|
dan maje found it necessary to raid so as to recruit slaves into his ranks. dan majey found it necessary to raid so as to recruit slaves into his ranks. dan maje found it necessary to rate so as to recruit slaves into his ranks. dan majay found it necessary to raid so as to recruit slaves into his ranks.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dan maje found it necessary to raid so as to recruit slaves into his ranks', 'dan maje found it necessary to raid so as to recruit slaves into his ranks', 'dan majey found it necessary to raid so as to recruit slaves into his ranks', 'dan maje found it necessary to rate so as to recruit slaves into his ranks', 'dan majay found it necessary to raid so as to recruit slaves into his ranks']
|
|
[
"historically it forms a dialect continuing with the czech language",
"historically it firms a dialect continuum with the czech language",
"historically it forms a dialect continuum with the czech language",
"historically it firms a dialect continuing with the czech language",
"historically it forms a dialect continuing with the czech language"
] |
historically it forms a dialect continuum with the czech language
|
historically it forms a dialect continuing with the czech language.
|
historically it firms a dialect continuum with the czech language. historically it forms a dialect continuum with the czech language. historically it firms a dialect continuing with the czech language. historically it forms a dialect continuing with the czech language.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['historically it forms a dialect continuing with the czech language', 'historically it firms a dialect continuum with the czech language', 'historically it forms a dialect continuum with the czech language', 'historically it firms a dialect continuing with the czech language', 'historically it forms a dialect continuing with the czech language']
|
|
[
"associated symptoms include dizziness shortness of breath sweating headaches and chest pain",
"associated symptoms include dizziness shortness of breath sweating headaches and chest pain",
"associated symptoms include dizziness shortness of breath sweating head aches and chest pain",
"associated symptoms include dizziness shortness of breath sweating headaches and chest pain",
"associated symptoms include dizziness shortness of breath sweating headaches and chest pain"
] |
associated symptoms include dizziness shortness of breath sweating headaches and chest pain
|
associated symptoms include dizziness shortness of breath sweating headaches and chest pain.
|
associated symptoms include dizziness shortness of breath sweating headaches and chest pain. associated symptoms include dizziness shortness of breath sweating head aches and chest pain. associated symptoms include dizziness shortness of breath sweating headaches and chest pain. associated symptoms include dizziness shortness of breath sweating headaches and chest pain.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['associated symptoms include dizziness shortness of breath sweating headaches and chest pain', 'associated symptoms include dizziness shortness of breath sweating headaches and chest pain', 'associated symptoms include dizziness shortness of breath sweating head aches and chest pain', 'associated symptoms include dizziness shortness of breath sweating headaches and chest pain', 'associated symptoms include dizziness shortness of breath sweating headaches and chest pain']
|
|
[
"nonetheless the colonial continued to be a testing ground for broadway bound shows",
"nonetheless the colonial continued to be a testing ground for broadway bound shows",
"nonetheless the colonial continued to be a testing ground for broadway banshoes",
"nonetheless the colonial continued to be a testing ground for broadway bound shows",
"nonetheless the colonial continued to be a testing ground for broadway bound shows"
] |
nonetheless the colonial continued to be a testing ground for broadway bound shows
|
nonetheless the colonial continued to be a testing ground for broadway bound shows.
|
nonetheless the colonial continued to be a testing ground for broadway bound shows. nonetheless the colonial continued to be a testing ground for broadway banshoes. nonetheless the colonial continued to be a testing ground for broadway bound shows. nonetheless the colonial continued to be a testing ground for broadway bound shows.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nonetheless the colonial continued to be a testing ground for broadway bound shows', 'nonetheless the colonial continued to be a testing ground for broadway bound shows', 'nonetheless the colonial continued to be a testing ground for broadway banshoes', 'nonetheless the colonial continued to be a testing ground for broadway bound shows', 'nonetheless the colonial continued to be a testing ground for broadway bound shows']
|
|
[
"he was legendary for meeting the crowd at nearly every show",
"he was legendary from reading the crowd at nearly every show",
"he was legendary from rooting the crowd at nearly every show",
"he was legendary for rooting the crowd at nearly every show",
"he was legendary for mooting the crowd at nearly every show"
] |
he was legendary for mooning the crowd at nearly every show
|
he was legendary for meeting the crowd at nearly every show.
|
he was legendary from reading the crowd at nearly every show. he was legendary from rooting the crowd at nearly every show. he was legendary for rooting the crowd at nearly every show. he was legendary for mooting the crowd at nearly every show.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was legendary for meeting the crowd at nearly every show', 'he was legendary from reading the crowd at nearly every show', 'he was legendary from rooting the crowd at nearly every show', 'he was legendary for rooting the crowd at nearly every show', 'he was legendary for mooting the crowd at nearly every show']
|
|
[
"following the game glenn is arrested in the press conference squad",
"following the game glenn is arrested in a press conference squad",
"following the game glen is arrested in the press conference squad",
"following the game glen is arrested in a press conference squad",
"following the game glenn is arrested and the press conference is called"
] |
following the game glen is arrested and a press conference is called
|
following the game glenn is arrested in the press conference squad.
|
following the game glenn is arrested in a press conference squad. following the game glen is arrested in the press conference squad. following the game glen is arrested in a press conference squad. following the game glenn is arrested and the press conference is called.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['following the game glenn is arrested in the press conference squad', 'following the game glenn is arrested in a press conference squad', 'following the game glen is arrested in the press conference squad', 'following the game glen is arrested in a press conference squad', 'following the game glenn is arrested and the press conference is called']
|
|
[
"the genre is especially popular in online flash games and mobile games",
"the genre is especially popular in online flashgames and mobile games",
"the genre is especially popular in online flash games and mobile games",
"the genre is especially popular in online flashgates and mobile games",
"the genre is especially popular in online flash games and mobile games"
] |
the genre is especially popular in online flash games and mobile games
|
the genre is especially popular in online flash games and mobile games.
|
the genre is especially popular in online flashgames and mobile games. the genre is especially popular in online flash games and mobile games. the genre is especially popular in online flashgates and mobile games. the genre is especially popular in online flash games and mobile games.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the genre is especially popular in online flash games and mobile games', 'the genre is especially popular in online flashgames and mobile games', 'the genre is especially popular in online flash games and mobile games', 'the genre is especially popular in online flashgates and mobile games', 'the genre is especially popular in online flash games and mobile games']
|
|
[
"he attended both saint louis university high school and saint louis university",
"you attended both saint louis university high school and saint louis university",
"he attended both saint louis university high school and saint louis university",
"here attended both saint louis university high school and saint louis university",
"we attended both saint louis university high school and saint louis university"
] |
he attended both saint louis university high school and saint louis university
|
he attended both saint louis university high school and saint louis university.
|
you attended both saint louis university high school and saint louis university. he attended both saint louis university high school and saint louis university. here attended both saint louis university high school and saint louis university. we attended both saint louis university high school and saint louis university.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he attended both saint louis university high school and saint louis university', 'you attended both saint louis university high school and saint louis university', 'he attended both saint louis university high school and saint louis university', 'here attended both saint louis university high school and saint louis university', 'we attended both saint louis university high school and saint louis university']
|
|
[
"an early variant name was round prairie",
"an early variant name was round prairie",
"an early variant name was round prairie",
"an early variant name was round prairie",
"an early variant name was round prairie"
] |
an early variant name was round prairie
|
an early variant name was round prairie.
|
an early variant name was round prairie. an early variant name was round prairie. an early variant name was round prairie. an early variant name was round prairie.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['an early variant name was round prairie', 'an early variant name was round prairie', 'an early variant name was round prairie', 'an early variant name was round prairie', 'an early variant name was round prairie']
|
|
[
"the show theme music is a customized version of barry manlow is copacabana",
"the show theme music is a customized version of barry manlow is copicabana",
"the show theme music is a customized version of barry manlow is cooper cabana",
"the show theme music is a customized version of barry manlo is copacabana",
"the show theme music is a customized version of barry manlo is copicabana"
] |
the show theme music is a customized version of barry manilow is copacabana
|
the show theme music is a customized version of barry manlow is copacabana.
|
the show theme music is a customized version of barry manlow is copicabana. the show theme music is a customized version of barry manlow is cooper cabana. the show theme music is a customized version of barry manlo is copacabana. the show theme music is a customized version of barry manlo is copicabana.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the show theme music is a customized version of barry manlow is copacabana', 'the show theme music is a customized version of barry manlow is copicabana', 'the show theme music is a customized version of barry manlow is cooper cabana', 'the show theme music is a customized version of barry manlo is copacabana', 'the show theme music is a customized version of barry manlo is copicabana']
|
|
[
"forestry commission scotland reports to and receive funding from the scottish parliament",
"forestry commission scotland reports to and receive funding from the scottish parliament",
"forestry commission scotland reports to and received funding from the scottish parliament",
"forestry commission scotland reports to and receive funding from the scottish parliament",
"forestry commission scotland reports two and receive funding from the scottish parliament"
] |
forestry commission scotland reports to and receives funding from the scottish parliament
|
forestry commission scotland reports to and receive funding from the scottish parliament.
|
forestry commission scotland reports to and receive funding from the scottish parliament. forestry commission scotland reports to and received funding from the scottish parliament. forestry commission scotland reports to and receive funding from the scottish parliament. forestry commission scotland reports two and receive funding from the scottish parliament.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['forestry commission scotland reports to and receive funding from the scottish parliament', 'forestry commission scotland reports to and receive funding from the scottish parliament', 'forestry commission scotland reports to and received funding from the scottish parliament', 'forestry commission scotland reports to and receive funding from the scottish parliament', 'forestry commission scotland reports two and receive funding from the scottish parliament']
|
|
[
"it caught no further than testing",
"it got no further than testing",
"it caught no further than testing",
"it caught no further pen testing",
"it caught no further than testing"
] |
it got no further than testing
|
it caught no further than testing.
|
it got no further than testing. it caught no further than testing. it caught no further pen testing. it caught no further than testing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it caught no further than testing', 'it got no further than testing', 'it caught no further than testing', 'it caught no further pen testing', 'it caught no further than testing']
|
|
[
"sasa was the standard of skill and daring set by lippen and commander",
"sasa was the standard of skill and daring set by lippin and commander",
"sasa was the standard of skill and daring set by lippenden commander",
"sasa was the standard of skill and daring set by lippen commander",
"sasa was the standard of skill and daring set by lippen and commander"
] |
such was the standard of skill and daring set by lieutenant cdr
|
sasa was the standard of skill and daring set by lippen and commander.
|
sasa was the standard of skill and daring set by lippin and commander. sasa was the standard of skill and daring set by lippenden commander. sasa was the standard of skill and daring set by lippen commander. sasa was the standard of skill and daring set by lippen and commander.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sasa was the standard of skill and daring set by lippen and commander', 'sasa was the standard of skill and daring set by lippin and commander', 'sasa was the standard of skill and daring set by lippenden commander', 'sasa was the standard of skill and daring set by lippen commander', 'sasa was the standard of skill and daring set by lippen and commander']
|
|
[
"they have two children and a pastor in brooklyn and john an architect",
"they have two children and a pastor in brooklyn and john an architect",
"they have two children anna pastor in brooklyn and john an architect",
"they have two children anna pastor in brooklyn and john an architect",
"they have two children anna pastor in brooklyn and john and architect"
] |
they have two children ann a pastor in brooklyn and john an architect
|
they have two children and a pastor in brooklyn and john an architect.
|
they have two children and a pastor in brooklyn and john an architect. they have two children anna pastor in brooklyn and john an architect. they have two children anna pastor in brooklyn and john an architect. they have two children anna pastor in brooklyn and john and architect.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they have two children and a pastor in brooklyn and john an architect', 'they have two children and a pastor in brooklyn and john an architect', 'they have two children anna pastor in brooklyn and john an architect', 'they have two children anna pastor in brooklyn and john an architect', 'they have two children anna pastor in brooklyn and john and architect']
|
|
[
"expect when it is incorrect to do so",
"expect when it is incorrect to do so",
"expand when it is incorrect to do so",
"expert when it is incorrect to do so",
"expect when it is incorrect to do so"
] |
except when it is incorrect to do so
|
expect when it is incorrect to do so.
|
expect when it is incorrect to do so. expand when it is incorrect to do so. expert when it is incorrect to do so. expect when it is incorrect to do so.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['expect when it is incorrect to do so', 'expect when it is incorrect to do so', 'expand when it is incorrect to do so', 'expert when it is incorrect to do so', 'expect when it is incorrect to do so']
|
|
[
"however the difference between them becomes apparent when comparing the variances",
"however the difference between them becomes apparent when comparing the variances",
"however the difference between them becomes apparent when comparing the variances",
"however the difference between them becomes apparent when comparing the variances",
"however the difference between them becomes apparent when comparing the variances"
] |
however the difference between them becomes apparent when comparing the variances
|
however the difference between them becomes apparent when comparing the variances.
|
however the difference between them becomes apparent when comparing the variances. however the difference between them becomes apparent when comparing the variances. however the difference between them becomes apparent when comparing the variances. however the difference between them becomes apparent when comparing the variances.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the difference between them becomes apparent when comparing the variances', 'however the difference between them becomes apparent when comparing the variances', 'however the difference between them becomes apparent when comparing the variances', 'however the difference between them becomes apparent when comparing the variances', 'however the difference between them becomes apparent when comparing the variances']
|
|
[
"this species sometimes consumes free sap",
"this species sometimes consumes three sap",
"this species sometimes consumes pretty sap",
"this species sometimes consumes threesap",
"this species sometimes consumes three seconds"
] |
this species sometimes consumes tree sap
|
this species sometimes consumes free sap.
|
this species sometimes consumes three sap. this species sometimes consumes pretty sap. this species sometimes consumes threesap. this species sometimes consumes three seconds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this species sometimes consumes free sap', 'this species sometimes consumes three sap', 'this species sometimes consumes pretty sap', 'this species sometimes consumes threesap', 'this species sometimes consumes three seconds']
|
|
[
"in some cases the female then proceeds to eat the prey herself",
"in some cases the female then proceeds to eat the prey herself",
"in some cases the female then proceeds to eat probably herself",
"in some cases the female then proceeds to eat probably herself",
"in some cases the female then proceeds to eat the prey herself"
] |
in some cases the female then proceeds to eat the prey herself
|
in some cases the female then proceeds to eat the prey herself.
|
in some cases the female then proceeds to eat the prey herself. in some cases the female then proceeds to eat probably herself. in some cases the female then proceeds to eat probably herself. in some cases the female then proceeds to eat the prey herself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in some cases the female then proceeds to eat the prey herself', 'in some cases the female then proceeds to eat the prey herself', 'in some cases the female then proceeds to eat probably herself', 'in some cases the female then proceeds to eat probably herself', 'in some cases the female then proceeds to eat the prey herself']
|
|
[
"the episode follows peter is decision to find a new relation for himself",
"the episode follows peter is decision to find a new relation for himself",
"the episode follows peter is decision to find a new relation for himself",
"the episode follows peter is decision to find a new relation for himself",
"the episode follows peter is decision to find a new relation for himself"
] |
the episode follows peter is decision to find a new religion for himself
|
the episode follows peter is decision to find a new relation for himself.
|
the episode follows peter is decision to find a new relation for himself. the episode follows peter is decision to find a new relation for himself. the episode follows peter is decision to find a new relation for himself. the episode follows peter is decision to find a new relation for himself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the episode follows peter is decision to find a new relation for himself', 'the episode follows peter is decision to find a new relation for himself', 'the episode follows peter is decision to find a new relation for himself', 'the episode follows peter is decision to find a new relation for himself', 'the episode follows peter is decision to find a new relation for himself']
|
|
[
"lam blocks regularly on a finton post",
"lam blocks regularly on a fintone post",
"lam blocks regularly on a finton post",
"lam blocks regularly on a finton post",
"lamb blocks regularly on a finton post"
] |
lam blogs regularly on huffington post
|
lam blocks regularly on a finton post.
|
lam blocks regularly on a fintone post. lam blocks regularly on a finton post. lam blocks regularly on a finton post. lamb blocks regularly on a finton post.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lam blocks regularly on a finton post', 'lam blocks regularly on a fintone post', 'lam blocks regularly on a finton post', 'lam blocks regularly on a finton post', 'lamb blocks regularly on a finton post']
|
|
[
"other observers have described the building as tourist hunting lodge",
"other observers have described the building as terrace hunting lodge",
"other observers have described the building as tourists hunting lodge",
"other observers have described the building as terrace hunting lodge",
"other observers have described the building as thirst hunting lodge"
] |
other observers have described the building as hearst is hunting lodge
|
other observers have described the building as tourist hunting lodge.
|
other observers have described the building as terrace hunting lodge. other observers have described the building as tourists hunting lodge. other observers have described the building as terrace hunting lodge. other observers have described the building as thirst hunting lodge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other observers have described the building as tourist hunting lodge', 'other observers have described the building as terrace hunting lodge', 'other observers have described the building as tourists hunting lodge', 'other observers have described the building as terrace hunting lodge', 'other observers have described the building as thirst hunting lodge']
|
|
[
"this gave about double the power of the first singles",
"this gave about double the power of the first single",
"this gave about double the power of the onest singles",
"this gave about the double the power of the first singles",
"this gave about double the power of the onest singles"
] |
this gave about double the power of the first singles
|
this gave about double the power of the first singles.
|
this gave about double the power of the first single. this gave about double the power of the onest singles. this gave about the double the power of the first singles. this gave about double the power of the onest singles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this gave about double the power of the first singles', 'this gave about double the power of the first single', 'this gave about double the power of the onest singles', 'this gave about the double the power of the first singles', 'this gave about double the power of the onest singles']
|
|
[
"her father on the other hand preferred a match with house of habsburg",
"her father on the other hand preferred a match with house of habsburg",
"her father on the other hand preferred a match with house of habsburg",
"her father on the other hand preferred a match with house of habsburg",
"her father on the other hand preferred a match with house of habsburg"
] |
her father on the other hand preferred a match with the house of habsburg
|
her father on the other hand preferred a match with house of habsburg.
|
her father on the other hand preferred a match with house of habsburg. her father on the other hand preferred a match with house of habsburg. her father on the other hand preferred a match with house of habsburg. her father on the other hand preferred a match with house of habsburg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her father on the other hand preferred a match with house of habsburg', 'her father on the other hand preferred a match with house of habsburg', 'her father on the other hand preferred a match with house of habsburg', 'her father on the other hand preferred a match with house of habsburg', 'her father on the other hand preferred a match with house of habsburg']
|
|
[
"it gave him national rio and initiated an extremely prolific screen career",
"it gave him national reown and initiated an extremely prolific screen career",
"it gave him national reo and initiated an extremely prolific screen career",
"it gave him national rione and initiated an extremely prolific screen career",
"it gave him national rio and initiated an extremely prolific screen crew"
] |
it gave him national renown and initiated an extremely prolific screen career
|
it gave him national rio and initiated an extremely prolific screen career.
|
it gave him national reown and initiated an extremely prolific screen career. it gave him national reo and initiated an extremely prolific screen career. it gave him national rione and initiated an extremely prolific screen career. it gave him national rio and initiated an extremely prolific screen crew.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it gave him national rio and initiated an extremely prolific screen career', 'it gave him national reown and initiated an extremely prolific screen career', 'it gave him national reo and initiated an extremely prolific screen career', 'it gave him national rione and initiated an extremely prolific screen career', 'it gave him national rio and initiated an extremely prolific screen crew']
|
|
[
"he also served as a diplomat",
"he also served as a diplomat",
"he also served as a diplomat",
"he also served as a diplomat",
"he also served as a diplomat"
] |
he also served as a diplomat
|
he also served as a diplomat.
|
he also served as a diplomat. he also served as a diplomat. he also served as a diplomat. he also served as a diplomat.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also served as a diplomat', 'he also served as a diplomat', 'he also served as a diplomat', 'he also served as a diplomat', 'he also served as a diplomat']
|
|
[
"this was a temporary mission",
"this was a temporary measure",
"this was a temporary mashup",
"this was at emperor misha",
"this was at temporary mesh out"
] |
this was a temporary measure
|
this was a temporary mission.
|
this was a temporary measure. this was a temporary mashup. this was at emperor misha. this was at temporary mesh out.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was a temporary mission', 'this was a temporary measure', 'this was a temporary mashup', 'this was at emperor misha', 'this was at temporary mesh out']
|
|
[
"the present has image in the art in several ways",
"the presence has image in the art in several ways",
"the present has image india in several ways",
"the presence has image india in several ways",
"the present has image in the art and several ways"
] |
their presence has enriched india in several ways
|
the present has image in the art in several ways.
|
the presence has image in the art in several ways. the present has image india in several ways. the presence has image india in several ways. the present has image in the art and several ways.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the present has image in the art in several ways', 'the presence has image in the art in several ways', 'the present has image india in several ways', 'the presence has image india in several ways', 'the present has image in the art and several ways']
|
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