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[ "it is symbol is a cracked egg", "its symbol is a cracked egg", "it is simple as a cracked egg", "it is simple is a cracked egg", "it symbol is a cracked egg" ]
its symbol is a cracked egg
it is symbol is a cracked egg.
its symbol is a cracked egg. it is simple as a cracked egg. it is simple is a cracked egg. it symbol is a cracked egg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is symbol is a cracked egg', 'its symbol is a cracked egg', 'it is simple as a cracked egg', 'it is simple is a cracked egg', 'it symbol is a cracked egg']
[ "she visited many ports and took part in the ceremonies dedicating the seaway", "she visited many ports and took part in the ceremonies dedicating the see way", "she visited many ports and took part in the ceremonies dedicating the seaway", "she visited many ports and took part in the ceremonies dedicating the seaway", "she visited many ports and took part in the ceremonies dedicating the seaway" ]
she visited many ports and took part in the ceremonies dedicating the seaway
she visited many ports and took part in the ceremonies dedicating the seaway.
she visited many ports and took part in the ceremonies dedicating the see way. she visited many ports and took part in the ceremonies dedicating the seaway. she visited many ports and took part in the ceremonies dedicating the seaway. she visited many ports and took part in the ceremonies dedicating the seaway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she visited many ports and took part in the ceremonies dedicating the seaway', 'she visited many ports and took part in the ceremonies dedicating the see way', 'she visited many ports and took part in the ceremonies dedicating the seaway', 'she visited many ports and took part in the ceremonies dedicating the seaway', 'she visited many ports and took part in the ceremonies dedicating the seaway']
[ "private banking is typically costly to parents and not covered by insurance", "private banking is typically costly to parents and not covered by insurance", "private banking is typically costly to parents and not covered by insurance", "private banking is typically costly to parents and not covered by insurance", "private banking is typically costly to parents and not covered by insurance" ]
private banking is typically costly to parents and not covered by insurance
private banking is typically costly to parents and not covered by insurance.
private banking is typically costly to parents and not covered by insurance. private banking is typically costly to parents and not covered by insurance. private banking is typically costly to parents and not covered by insurance. private banking is typically costly to parents and not covered by insurance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['private banking is typically costly to parents and not covered by insurance', 'private banking is typically costly to parents and not covered by insurance', 'private banking is typically costly to parents and not covered by insurance', 'private banking is typically costly to parents and not covered by insurance', 'private banking is typically costly to parents and not covered by insurance']
[ "he is creditless one of the founders of settlements in washington country huta", "he is creditless one of the founders of settlements in washington country oota", "he is creditless one of the founders of settlements in washington country ota", "he is creditless one of the founders of settlements in washington country huta", "he is creditless one of the founders of settlements in washington country utah" ]
he is credited as one of the founders of settlements in washington county utah
he is creditless one of the founders of settlements in washington country huta.
he is creditless one of the founders of settlements in washington country oota. he is creditless one of the founders of settlements in washington country ota. he is creditless one of the founders of settlements in washington country huta. he is creditless one of the founders of settlements in washington country utah.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is creditless one of the founders of settlements in washington country huta', 'he is creditless one of the founders of settlements in washington country oota', 'he is creditless one of the founders of settlements in washington country ota', 'he is creditless one of the founders of settlements in washington country huta', 'he is creditless one of the founders of settlements in washington country utah']
[ "the summit is all rock with many lost tons lie and make the small outcrops", "the summit is all rock with many lost stones lying and making the small outcrops", "the summit is all rock with many lost stones lying and make the small outcrops", "the summit is all rock with many lost tons lying and make the small outcrops", "the summit is all rock with many lost turns lying and make the small outcrops" ]
the summit is all rock with many loose stones lying amid the small outcrops
the summit is all rock with many lost tons lie and make the small outcrops.
the summit is all rock with many lost stones lying and making the small outcrops. the summit is all rock with many lost stones lying and make the small outcrops. the summit is all rock with many lost tons lying and make the small outcrops. the summit is all rock with many lost turns lying and make the small outcrops.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the summit is all rock with many lost tons lie and make the small outcrops', 'the summit is all rock with many lost stones lying and making the small outcrops', 'the summit is all rock with many lost stones lying and make the small outcrops', 'the summit is all rock with many lost tons lying and make the small outcrops', 'the summit is all rock with many lost turns lying and make the small outcrops']
[ "cricket australia is an administrative organization responsible for cricket in australia", "cricket australia is an administrative organization responsible for cricket in australia", "cricket australia is an administrative organization responsible for cricket in australia", "cricket australia is an administrative organization responsible for cricket in australia", "cricut australia is an administrative organization responsible for cricket in australia" ]
cricket australia is an administrative organization responsible for cricket in australia
cricket australia is an administrative organization responsible for cricket in australia.
cricket australia is an administrative organization responsible for cricket in australia. cricket australia is an administrative organization responsible for cricket in australia. cricket australia is an administrative organization responsible for cricket in australia. cricut australia is an administrative organization responsible for cricket in australia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cricket australia is an administrative organization responsible for cricket in australia', 'cricket australia is an administrative organization responsible for cricket in australia', 'cricket australia is an administrative organization responsible for cricket in australia', 'cricket australia is an administrative organization responsible for cricket in australia', 'cricut australia is an administrative organization responsible for cricket in australia']
[ "directed edges are used to represent jumpers in the control flow", "directed edges are used to represent jumpers in the control floor", "directed edges are used to represent jumpers in the control flop", "directed edges are used to represent jumpers in the control field", "redacted edges are used to represent jumpers in the control flow" ]
directed edges are used to represent jumps in the control flow
directed edges are used to represent jumpers in the control flow.
directed edges are used to represent jumpers in the control floor. directed edges are used to represent jumpers in the control flop. directed edges are used to represent jumpers in the control field. redacted edges are used to represent jumpers in the control flow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['directed edges are used to represent jumpers in the control flow', 'directed edges are used to represent jumpers in the control floor', 'directed edges are used to represent jumpers in the control flop', 'directed edges are used to represent jumpers in the control field', 'redacted edges are used to represent jumpers in the control flow']
[ "it is reminiscent of a native american ceremonial head race", "it is reminiscent of a native american ceremonial headrest", "it is reminiscent of a native american ceremonial hairdress", "it is reminiscent of a native american ceremonial head rice", "it is reminiscent of a native american ceremonial head race" ]
it is reminiscent of a native american ceremonial headdress
it is reminiscent of a native american ceremonial head race.
it is reminiscent of a native american ceremonial headrest. it is reminiscent of a native american ceremonial hairdress. it is reminiscent of a native american ceremonial head rice. it is reminiscent of a native american ceremonial head race.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is reminiscent of a native american ceremonial head race', 'it is reminiscent of a native american ceremonial headrest', 'it is reminiscent of a native american ceremonial hairdress', 'it is reminiscent of a native american ceremonial head rice', 'it is reminiscent of a native american ceremonial head race']
[ "the name gil has also been used for a fictional hurricane", "the name gill has also been used for a fictional hurricane", "the name gil has also been used for a fictional hurricane", "the name gill has also been used for a fictional hurricane", "the name gill has also been used for a fictional hurricane" ]
the name gil has also been used for a fictional hurricane
the name gil has also been used for a fictional hurricane.
the name gill has also been used for a fictional hurricane. the name gil has also been used for a fictional hurricane. the name gill has also been used for a fictional hurricane. the name gill has also been used for a fictional hurricane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name gil has also been used for a fictional hurricane', 'the name gill has also been used for a fictional hurricane', 'the name gil has also been used for a fictional hurricane', 'the name gill has also been used for a fictional hurricane', 'the name gill has also been used for a fictional hurricane']
[ "she is devastated", "she is devastated", "she is devastated", "she is devastating", "she is devastator" ]
she is devastated
she is devastated.
she is devastated. she is devastated. she is devastating. she is devastator.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is devastated', 'she is devastated', 'she is devastated', 'she is devastating', 'she is devastator']
[ "two men are skiing and the one on the right is laughing", "two men are skiing and the one on the right is laughing", "two men are skiing and the one on the ride is lovely", "two men are skiing and the one on the right is lovely", "two men are skiing and the one on the ride is lovely" ]
two men are skiing and the one on the right is laughing
two men are skiing and the one on the right is laughing.
two men are skiing and the one on the right is laughing. two men are skiing and the one on the ride is lovely. two men are skiing and the one on the right is lovely. two men are skiing and the one on the ride is lovely.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two men are skiing and the one on the right is laughing', 'two men are skiing and the one on the right is laughing', 'two men are skiing and the one on the ride is lovely', 'two men are skiing and the one on the right is lovely', 'two men are skiing and the one on the ride is lovely']
[ "many file systems in use only supported short file names", "many file systems in use only supported short filenames", "many file systems in use only support its short file names", "many file systems in use only supported short filenames", "many file systems in use only support its short file names" ]
many file systems in use only supported short filenames
many file systems in use only supported short file names.
many file systems in use only supported short filenames. many file systems in use only support its short file names. many file systems in use only supported short filenames. many file systems in use only support its short file names.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many file systems in use only supported short file names', 'many file systems in use only supported short filenames', 'many file systems in use only support its short file names', 'many file systems in use only supported short filenames', 'many file systems in use only support its short file names']
[ "in this case she did not complete such a documentary", "in this case she did not complete such a documentary", "in this case she did not complete such a documentary", "in this case she did not complete such a documentary", "in this case she did not complete such a documentary" ]
in this case she did not complete such a documentary
in this case she did not complete such a documentary.
in this case she did not complete such a documentary. in this case she did not complete such a documentary. in this case she did not complete such a documentary. in this case she did not complete such a documentary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in this case she did not complete such a documentary', 'in this case she did not complete such a documentary', 'in this case she did not complete such a documentary', 'in this case she did not complete such a documentary', 'in this case she did not complete such a documentary']
[ "this causes the clay to expand like popcorn and become porous", "this causes the claim to expand like popcorn and become porous", "this causes the client to expand like popcorn and become porous", "this causes the claim to expand like popcorn and become porous", "this causes the clay to expand like popcorn and become porous" ]
this causes the clay to expand like popcorn and become porous
this causes the clay to expand like popcorn and become porous.
this causes the claim to expand like popcorn and become porous. this causes the client to expand like popcorn and become porous. this causes the claim to expand like popcorn and become porous. this causes the clay to expand like popcorn and become porous.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this causes the clay to expand like popcorn and become porous', 'this causes the claim to expand like popcorn and become porous', 'this causes the client to expand like popcorn and become porous', 'this causes the claim to expand like popcorn and become porous', 'this causes the clay to expand like popcorn and become porous']
[ "it is led by the current prime minister keith mitchell", "it is led by the current prime minister keith mitchell", "it is left by the current prime minister keith mitchell", "it is led by the current prime minister kate mitchell", "it is led by the current prime minister keith mitchell" ]
it is led by the current prime minister keith mitchell
it is led by the current prime minister keith mitchell.
it is led by the current prime minister keith mitchell. it is left by the current prime minister keith mitchell. it is led by the current prime minister kate mitchell. it is led by the current prime minister keith mitchell.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is led by the current prime minister keith mitchell', 'it is led by the current prime minister keith mitchell', 'it is left by the current prime minister keith mitchell', 'it is led by the current prime minister kate mitchell', 'it is led by the current prime minister keith mitchell']
[ "grannier and conway now take independent bookings under the name the resistance", "grannier and conway now take independent bookings under the name the resistance", "grannier and conway now take independent bookings under the name the resistance", "grannier and conway now take independent bookings under the name the resistance", "grannier and conway now take independent bookings under the name the resistance" ]
grenier and conway now take independent bookings under the name the resistance
grannier and conway now take independent bookings under the name the resistance.
grannier and conway now take independent bookings under the name the resistance. grannier and conway now take independent bookings under the name the resistance. grannier and conway now take independent bookings under the name the resistance. grannier and conway now take independent bookings under the name the resistance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['grannier and conway now take independent bookings under the name the resistance', 'grannier and conway now take independent bookings under the name the resistance', 'grannier and conway now take independent bookings under the name the resistance', 'grannier and conway now take independent bookings under the name the resistance', 'grannier and conway now take independent bookings under the name the resistance']
[ "for the series of novels by jack troca see well world", "for the series of novels by jack troca see world", "for the series of novels by jack troker see well world", "for the series of novels by jack troca see well world", "for the series of novels by jack troker see world" ]
for the series of novels by jack chalker see well world
for the series of novels by jack troca see well world.
for the series of novels by jack troca see world. for the series of novels by jack troker see well world. for the series of novels by jack troca see well world. for the series of novels by jack troker see world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the series of novels by jack troca see well world', 'for the series of novels by jack troca see world', 'for the series of novels by jack troker see well world', 'for the series of novels by jack troca see well world', 'for the series of novels by jack troker see world']
[ "the threat is revealed to be lord doug or his dragon throcks", "the threat is revealed to be lord dugor with his dragon throx", "the threat is revealed to be lord dugor with his dragon throcks", "the threat is revealed to be lord dugor with his dragon throcks", "the threat is revealed to be lord doug or his dragon throx" ]
the threat is revealed to be lord daggor with his dragon thraxx
the threat is revealed to be lord doug or his dragon throcks.
the threat is revealed to be lord dugor with his dragon throx. the threat is revealed to be lord dugor with his dragon throcks. the threat is revealed to be lord dugor with his dragon throcks. the threat is revealed to be lord doug or his dragon throx.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the threat is revealed to be lord doug or his dragon throcks', 'the threat is revealed to be lord dugor with his dragon throx', 'the threat is revealed to be lord dugor with his dragon throcks', 'the threat is revealed to be lord dugor with his dragon throcks', 'the threat is revealed to be lord doug or his dragon throx']
[ "the scholarship awarded approximately twelve to fifteen students scholarships each year", "the scholarship awarded approximately twelve fifteen students scholarships each year", "the scholarship awarded approximately twelve to fifteen students scholarships each year", "the scholarship awarded approximately twelve fifteen students scholarships each year", "the scholarship awarded approximately twelve to fifteen students scholarships each year" ]
the scholarship awarded approximately twelve to fifteen students scholarships each year
the scholarship awarded approximately twelve to fifteen students scholarships each year.
the scholarship awarded approximately twelve fifteen students scholarships each year. the scholarship awarded approximately twelve to fifteen students scholarships each year. the scholarship awarded approximately twelve fifteen students scholarships each year. the scholarship awarded approximately twelve to fifteen students scholarships each year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the scholarship awarded approximately twelve to fifteen students scholarships each year', 'the scholarship awarded approximately twelve fifteen students scholarships each year', 'the scholarship awarded approximately twelve to fifteen students scholarships each year', 'the scholarship awarded approximately twelve fifteen students scholarships each year', 'the scholarship awarded approximately twelve to fifteen students scholarships each year']
[ "the center will layer was shown in as it is near the geographic center of leon county", "the center wheel layer was shown in as it is near the geographic center of leon county", "the center wheel air was shown in as it is near the geographic center of leon county", "center will air was shown in as it is near the geographic center of leon county", "the center will air was shown in as it is near the geographic center of leon county" ]
centerville was so named as it is near the geographic center of leon county
the center will layer was shown in as it is near the geographic center of leon county.
the center wheel layer was shown in as it is near the geographic center of leon county. the center wheel air was shown in as it is near the geographic center of leon county. center will air was shown in as it is near the geographic center of leon county. the center will air was shown in as it is near the geographic center of leon county.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the center will layer was shown in as it is near the geographic center of leon county', 'the center wheel layer was shown in as it is near the geographic center of leon county', 'the center wheel air was shown in as it is near the geographic center of leon county', 'center will air was shown in as it is near the geographic center of leon county', 'the center will air was shown in as it is near the geographic center of leon county']
[ "not com mentions charlemac descent harun spanish horses colorful phrysian cloaks and impressive hunting dogs", "not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs", "not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs", "not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs", "not com mentions charlemac descent haroon spanish horses colorful phrysian cloaks and impressive hunting dogs" ]
notker mentions charlemagne sent harun spanish horses colorful frisian cloaks and impressive hunting dogs
not com mentions charlemac descent harun spanish horses colorful phrysian cloaks and impressive hunting dogs.
not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs. not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs. not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs. not com mentions charlemac descent haroon spanish horses colorful phrysian cloaks and impressive hunting dogs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not com mentions charlemac descent harun spanish horses colorful phrysian cloaks and impressive hunting dogs', 'not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs', 'not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs', 'not com mentions charlemac descent harun spanish horses colorful frisian cloaks and impressive hunting dogs', 'not com mentions charlemac descent haroon spanish horses colorful phrysian cloaks and impressive hunting dogs']
[ "the commonwealth is administrative center is huayla", "the commonwealth is administrative center is huwala", "the commonwealth is administrative center is huala", "the command is administrative center is huayla", "the commonwealth is administrative center is huwala" ]
the commune is administrative center is schouweiler
the commonwealth is administrative center is huayla.
the commonwealth is administrative center is huwala. the commonwealth is administrative center is huala. the command is administrative center is huayla. the commonwealth is administrative center is huwala.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the commonwealth is administrative center is huayla', 'the commonwealth is administrative center is huwala', 'the commonwealth is administrative center is huala', 'the command is administrative center is huayla', 'the commonwealth is administrative center is huwala']
[ "rocket is inertia field has certain weaknesses due to its very nature", "rockets in nertia field has certain weaknesses due to its very nature", "rockets inertia field has certain weaknesses due to its very nature", "rockets in nertio field has certain weaknesses due to its very nature", "rockets in nertia field has certain weaknesses due to its very nature" ]
rocket is inertia field has certain weaknesses due to its very nature
rocket is inertia field has certain weaknesses due to its very nature.
rockets in nertia field has certain weaknesses due to its very nature. rockets inertia field has certain weaknesses due to its very nature. rockets in nertio field has certain weaknesses due to its very nature. rockets in nertia field has certain weaknesses due to its very nature.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rocket is inertia field has certain weaknesses due to its very nature', 'rockets in nertia field has certain weaknesses due to its very nature', 'rockets inertia field has certain weaknesses due to its very nature', 'rockets in nertio field has certain weaknesses due to its very nature', 'rockets in nertia field has certain weaknesses due to its very nature']
[ "he also composed an opera ambelkea", "he also composed an opera amel ghea", "he also composed an opera ambelkea", "he also composed an opera ambulkir", "he also composed an opera amelkea" ]
he also composed an opera amilcare
he also composed an opera ambelkea.
he also composed an opera amel ghea. he also composed an opera ambelkea. he also composed an opera ambulkir. he also composed an opera amelkea.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also composed an opera ambelkea', 'he also composed an opera amel ghea', 'he also composed an opera ambelkea', 'he also composed an opera ambulkir', 'he also composed an opera amelkea']
[ "the spaces between the curves of the day shapes are filled with triangular knots", "the spaces between the curves of the d shapes are filled with triangular knots", "the spaces between the curves of the d shaped are filled with triangular knots", "the spaces between the curves of the day is shapes are filled with triangular knots", "the spaces between the curves of the day shapes are filled with triangular knots" ]
the spaces between the curves of the d shapes are filled with triangular knots
the spaces between the curves of the day shapes are filled with triangular knots.
the spaces between the curves of the d shapes are filled with triangular knots. the spaces between the curves of the d shaped are filled with triangular knots. the spaces between the curves of the day is shapes are filled with triangular knots. the spaces between the curves of the day shapes are filled with triangular knots.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the spaces between the curves of the day shapes are filled with triangular knots', 'the spaces between the curves of the d shapes are filled with triangular knots', 'the spaces between the curves of the d shaped are filled with triangular knots', 'the spaces between the curves of the day is shapes are filled with triangular knots', 'the spaces between the curves of the day shapes are filled with triangular knots']
[ "the west side has been partially enclosed to serve as station rooms", "the west side has been partially enclosed to serve as station rooms", "the west side has been partially enclosed to serve as station rooms", "the west side has been partially enclosed to serve as station rooms", "the west side has been partially enclosed to serve as station rooms" ]
the west side has been partially enclosed to serve as station rooms
the west side has been partially enclosed to serve as station rooms.
the west side has been partially enclosed to serve as station rooms. the west side has been partially enclosed to serve as station rooms. the west side has been partially enclosed to serve as station rooms. the west side has been partially enclosed to serve as station rooms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the west side has been partially enclosed to serve as station rooms', 'the west side has been partially enclosed to serve as station rooms', 'the west side has been partially enclosed to serve as station rooms', 'the west side has been partially enclosed to serve as station rooms', 'the west side has been partially enclosed to serve as station rooms']
[ "there are about two hundred animal species and about one thousand plant species", "there are about two hundred animal species and about a thousand plant species", "there are about two hundred animals species and about one thousand plant species", "there are about two hundred animals species and about a thousand plant species", "there are about two hundred animal species and about one thousand plant species" ]
there are about two hundred animal species and about a thousand plant species
there are about two hundred animal species and about one thousand plant species.
there are about two hundred animal species and about a thousand plant species. there are about two hundred animals species and about one thousand plant species. there are about two hundred animals species and about a thousand plant species. there are about two hundred animal species and about one thousand plant species.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are about two hundred animal species and about one thousand plant species', 'there are about two hundred animal species and about a thousand plant species', 'there are about two hundred animals species and about one thousand plant species', 'there are about two hundred animals species and about a thousand plant species', 'there are about two hundred animal species and about one thousand plant species']
[ "ultimately effective solutions to working poverty are multifaceted", "ultimately effective solutions to working poverty are multifaceted", "ultimately effective solutions to working poverty are multifaceted", "ultimately effective solutions to working poverty are multifaceted", "ultimately effective solutions to working poverty are multifaceted" ]
ultimately effective solutions to working poverty are multifaceted
ultimately effective solutions to working poverty are multifaceted.
ultimately effective solutions to working poverty are multifaceted. ultimately effective solutions to working poverty are multifaceted. ultimately effective solutions to working poverty are multifaceted. ultimately effective solutions to working poverty are multifaceted.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ultimately effective solutions to working poverty are multifaceted', 'ultimately effective solutions to working poverty are multifaceted', 'ultimately effective solutions to working poverty are multifaceted', 'ultimately effective solutions to working poverty are multifaceted', 'ultimately effective solutions to working poverty are multifaceted']
[ "the albums contain songs about drinking and violence but were richer musically and lyrically", "the albums contain songs about drinking and violence but were richer musically and lyrically", "the albums contain songs about drinking and violence but were richer musically and lurically", "the albums contain songs about drinking and violence but we are richer musically and lyrically", "the albums contain songs and about drinking and violence but were richer musically and lyrically" ]
the albums contained songs about drinking and violence but were richer musically and lyrically
the albums contain songs about drinking and violence but were richer musically and lyrically.
the albums contain songs about drinking and violence but were richer musically and lyrically. the albums contain songs about drinking and violence but were richer musically and lurically. the albums contain songs about drinking and violence but we are richer musically and lyrically. the albums contain songs and about drinking and violence but were richer musically and lyrically.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the albums contain songs about drinking and violence but were richer musically and lyrically', 'the albums contain songs about drinking and violence but were richer musically and lyrically', 'the albums contain songs about drinking and violence but were richer musically and lurically', 'the albums contain songs about drinking and violence but we are richer musically and lyrically', 'the albums contain songs and about drinking and violence but were richer musically and lyrically']
[ "other makeup artists on the walk are max factor john chambers and rick baker", "other makeup artists on the walk are max factor john chambers and rick baker", "other makeup artists on the walk are max factor john chambers and rick baker", "other makeup artists on the walk are max factor john chambers and rick baker", "other makeup artists on the walk are max factor john chambers and rick baker" ]
other make up artists on the walk are max factor john chambers and rick baker
other makeup artists on the walk are max factor john chambers and rick baker.
other makeup artists on the walk are max factor john chambers and rick baker. other makeup artists on the walk are max factor john chambers and rick baker. other makeup artists on the walk are max factor john chambers and rick baker. other makeup artists on the walk are max factor john chambers and rick baker.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other makeup artists on the walk are max factor john chambers and rick baker', 'other makeup artists on the walk are max factor john chambers and rick baker', 'other makeup artists on the walk are max factor john chambers and rick baker', 'other makeup artists on the walk are max factor john chambers and rick baker', 'other makeup artists on the walk are max factor john chambers and rick baker']
[ "dance theater is more than a mere blend of dance and dramatic elements", "dan is theater is more than a mere blend of dance and dramatic elements", "dance theater is more than a mere blend of dance and dramatic elements", "dan is theater is more than a mere blend of dance and dramatic elements", "dan is theater is more than a mere blend of dance and dramatic elements" ]
tanztheater is more than a mere blend of dance and dramatic elements
dance theater is more than a mere blend of dance and dramatic elements.
dan is theater is more than a mere blend of dance and dramatic elements. dance theater is more than a mere blend of dance and dramatic elements. dan is theater is more than a mere blend of dance and dramatic elements. dan is theater is more than a mere blend of dance and dramatic elements.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dance theater is more than a mere blend of dance and dramatic elements', 'dan is theater is more than a mere blend of dance and dramatic elements', 'dance theater is more than a mere blend of dance and dramatic elements', 'dan is theater is more than a mere blend of dance and dramatic elements', 'dan is theater is more than a mere blend of dance and dramatic elements']
[ "today leader hosen and dundalatai is common in october onest events around the world", "today leader hoson and dundalatai is common in october onest events around the world", "today leader hosen and dundalatai is common in october onest events around the world", "today leader chosen and earned a retire is common in october onest events around the world", "today leader hoson and dundalatai is common in october onest events around the world" ]
today lederhosen and dirndl attire is common at oktoberfest events around the world
today leader hosen and dundalatai is common in october onest events around the world.
today leader hoson and dundalatai is common in october onest events around the world. today leader hosen and dundalatai is common in october onest events around the world. today leader chosen and earned a retire is common in october onest events around the world. today leader hoson and dundalatai is common in october onest events around the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today leader hosen and dundalatai is common in october onest events around the world', 'today leader hoson and dundalatai is common in october onest events around the world', 'today leader hosen and dundalatai is common in october onest events around the world', 'today leader chosen and earned a retire is common in october onest events around the world', 'today leader hoson and dundalatai is common in october onest events around the world']
[ "he was surrounded by family and close friends", "he was run by family and close friends", "he was a runner by family and close friends", "he was a runaway family and close friends", "he was a runaway family and close friends" ]
he was surrounded by family and close friends
he was surrounded by family and close friends.
he was run by family and close friends. he was a runner by family and close friends. he was a runaway family and close friends. he was a runaway family and close friends.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was surrounded by family and close friends', 'he was run by family and close friends', 'he was a runner by family and close friends', 'he was a runaway family and close friends', 'he was a runaway family and close friends']
[ "yee was not blamed and subsequently studied military science in moscow", "ye was not blamed and subsequently studied military science in moscow", "ye was not blamed and subsequently studied military science in moscow", "ye was not blamed and subsequently studied military science in moscow", "ye was not blamed and subsequently studied military science in moscow" ]
ye was not blamed and subsequently studied military science in moscow
yee was not blamed and subsequently studied military science in moscow.
ye was not blamed and subsequently studied military science in moscow. ye was not blamed and subsequently studied military science in moscow. ye was not blamed and subsequently studied military science in moscow. ye was not blamed and subsequently studied military science in moscow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['yee was not blamed and subsequently studied military science in moscow', 'ye was not blamed and subsequently studied military science in moscow', 'ye was not blamed and subsequently studied military science in moscow', 'ye was not blamed and subsequently studied military science in moscow', 'ye was not blamed and subsequently studied military science in moscow']
[ "he occasionally appears on fox sports as a commentator and football analyst", "he occasionally appears on fox foods as a commentator and football analyst", "he occasionally appears on fox boots as a commentator and football analyst", "he occasionally appears on fox sports as a comment title and football analyst", "he occasionally appears on fox sports as a commentator and football journalist" ]
he occasionally appears on fox sports as a commentator and football analyst
he occasionally appears on fox sports as a commentator and football analyst.
he occasionally appears on fox foods as a commentator and football analyst. he occasionally appears on fox boots as a commentator and football analyst. he occasionally appears on fox sports as a comment title and football analyst. he occasionally appears on fox sports as a commentator and football journalist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he occasionally appears on fox sports as a commentator and football analyst', 'he occasionally appears on fox foods as a commentator and football analyst', 'he occasionally appears on fox boots as a commentator and football analyst', 'he occasionally appears on fox sports as a comment title and football analyst', 'he occasionally appears on fox sports as a commentator and football journalist']
[ "the hospital was again sacked with the laws of most equipment and medicines", "the hospital was again sat with the laws of most equipment and medicines", "the hospital was again sacked with the loss of most equipment and medicines", "the hospital was again sad with the loss of most equipment and medicines", "the hospital was again sad with the loss of most equipment and medicines" ]
the hospital was again sacked with the loss of most equipment and medicines
the hospital was again sacked with the laws of most equipment and medicines.
the hospital was again sat with the laws of most equipment and medicines. the hospital was again sacked with the loss of most equipment and medicines. the hospital was again sad with the loss of most equipment and medicines. the hospital was again sad with the loss of most equipment and medicines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hospital was again sacked with the laws of most equipment and medicines', 'the hospital was again sat with the laws of most equipment and medicines', 'the hospital was again sacked with the loss of most equipment and medicines', 'the hospital was again sad with the loss of most equipment and medicines', 'the hospital was again sad with the loss of most equipment and medicines']
[ "we are going with two hilarious forms in front of the crowd", "we are going with two hillary forms in front of the crowd", "we will come with two hilarious forms in front of the crowd", "we are going with two hillary is forms in front of the crowd", "and we are going with two hilarious forms in front of the crowd" ]
a woman with two hula hoops performs in front of a crowd
we are going with two hilarious forms in front of the crowd.
we are going with two hillary forms in front of the crowd. we will come with two hilarious forms in front of the crowd. we are going with two hillary is forms in front of the crowd. and we are going with two hilarious forms in front of the crowd.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are going with two hilarious forms in front of the crowd', 'we are going with two hillary forms in front of the crowd', 'we will come with two hilarious forms in front of the crowd', 'we are going with two hillary is forms in front of the crowd', 'and we are going with two hilarious forms in front of the crowd']
[ "it is a well known center for power gliding", "it is a well known center for power gliding", "it is a well known center for power gliding", "it is a well known center for paragliding", "it is a well known center for power gliding" ]
it is a well known center for paragliding
it is a well known center for power gliding.
it is a well known center for power gliding. it is a well known center for power gliding. it is a well known center for paragliding. it is a well known center for power gliding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a well known center for power gliding', 'it is a well known center for power gliding', 'it is a well known center for power gliding', 'it is a well known center for paragliding', 'it is a well known center for power gliding']
[ "an asian woman in pink shirt is eating on street", "an asian woman in pink shirt is eating on street", "and asian women in pink shirt is eating on street", "an asian woman in pink shirt is eating on street", "an asian woman in pink shirt is eating on the street" ]
an asian woman in pink shirt is eating on the street
an asian woman in pink shirt is eating on street.
an asian woman in pink shirt is eating on street. and asian women in pink shirt is eating on street. an asian woman in pink shirt is eating on street. an asian woman in pink shirt is eating on the street.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an asian woman in pink shirt is eating on street', 'an asian woman in pink shirt is eating on street', 'and asian women in pink shirt is eating on street', 'an asian woman in pink shirt is eating on street', 'an asian woman in pink shirt is eating on the street']
[ "it works simply at his approach", "it was simply at his approach", "it was suply at his approach", "it rose simply at his approach", "it works simply at its approach" ]
it rose steeply at his approach
it works simply at his approach.
it was simply at his approach. it was suply at his approach. it rose simply at his approach. it works simply at its approach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it works simply at his approach', 'it was simply at his approach', 'it was suply at his approach', 'it rose simply at his approach', 'it works simply at its approach']
[ "the excellent traditional and research extended well into the first austrian republic", "the excellent traditional and research extended well into the first australian republic", "the excellent traditional and research extended well into the first austrian republic", "the excellent traditional and research extended well into the first austrian republic", "the excellent traditional and research extended well into the first austrian republic" ]
the excellent tradition and research extended well into the first austrian republic
the excellent traditional and research extended well into the first austrian republic.
the excellent traditional and research extended well into the first australian republic. the excellent traditional and research extended well into the first austrian republic. the excellent traditional and research extended well into the first austrian republic. the excellent traditional and research extended well into the first austrian republic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the excellent traditional and research extended well into the first austrian republic', 'the excellent traditional and research extended well into the first australian republic', 'the excellent traditional and research extended well into the first austrian republic', 'the excellent traditional and research extended well into the first austrian republic', 'the excellent traditional and research extended well into the first austrian republic']
[ "she was known as the talented cook and loud entertaining friend and family", "she was known as the talented cook and loved entertaining friend and family", "she was known as a talented cook and loved entertaining friend and family", "she was known as a talented cook and loud entertaining friend and family", "she was known as a talented cook and loved entertaining friend and family" ]
she was known as a talented cook and loved entertaining friends and family
she was known as the talented cook and loud entertaining friend and family.
she was known as the talented cook and loved entertaining friend and family. she was known as a talented cook and loved entertaining friend and family. she was known as a talented cook and loud entertaining friend and family. she was known as a talented cook and loved entertaining friend and family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was known as the talented cook and loud entertaining friend and family', 'she was known as the talented cook and loved entertaining friend and family', 'she was known as a talented cook and loved entertaining friend and family', 'she was known as a talented cook and loud entertaining friend and family', 'she was known as a talented cook and loved entertaining friend and family']
[ "his deputy adam silver is a successor", "his deputy adams over is a successor", "this deputy items over is a successor", "his deputy at once over is a successor", "his deputy items over is a successor" ]
his deputy adam silver is his successor
his deputy adam silver is a successor.
his deputy adams over is a successor. this deputy items over is a successor. his deputy at once over is a successor. his deputy items over is a successor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his deputy adam silver is a successor', 'his deputy adams over is a successor', 'this deputy items over is a successor', 'his deputy at once over is a successor', 'his deputy items over is a successor']
[ "he was born the region of dinner war in komansia in modern day western iran", "he was born the region of dinner war in kermansia in modern day western iran", "he was born the region of dinahua in komansia in modern day western iran", "he was born the region of denmark in kermansia in modern day western iran", "he was born the region of dinner war in komansia in modern day western iran" ]
he was born in the region of dinawar in kermanshah in modern day western iran
he was born the region of dinner war in komansia in modern day western iran.
he was born the region of dinner war in kermansia in modern day western iran. he was born the region of dinahua in komansia in modern day western iran. he was born the region of denmark in kermansia in modern day western iran. he was born the region of dinner war in komansia in modern day western iran.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was born the region of dinner war in komansia in modern day western iran', 'he was born the region of dinner war in kermansia in modern day western iran', 'he was born the region of dinahua in komansia in modern day western iran', 'he was born the region of denmark in kermansia in modern day western iran', 'he was born the region of dinner war in komansia in modern day western iran']
[ "more tragedy hit when two of wilson is daughters died at a young age", "more treasured heat when two of wilson is daughters died at a young age", "more treasured hit when two of wilson is daughters died at a young age", "more tragedy hit when two of wilson is daughters died in a young age", "more tragedy hit when two of wilson is daughters died at a young age" ]
more tragedy hit when two of wilson is daughters died at a young age
more tragedy hit when two of wilson is daughters died at a young age.
more treasured heat when two of wilson is daughters died at a young age. more treasured hit when two of wilson is daughters died at a young age. more tragedy hit when two of wilson is daughters died in a young age. more tragedy hit when two of wilson is daughters died at a young age.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['more tragedy hit when two of wilson is daughters died at a young age', 'more treasured heat when two of wilson is daughters died at a young age', 'more treasured hit when two of wilson is daughters died at a young age', 'more tragedy hit when two of wilson is daughters died in a young age', 'more tragedy hit when two of wilson is daughters died at a young age']
[ "the town was on various occasions the capital of the state of honduras", "the town was on various occasions the capital of the state of honduras", "the town was on various occasions the capital of the state of honduras", "the town was on various occasions the capital of the state of honduras", "the town was on various occasions the capital of the state of honduras" ]
the town was on various occasions the capital of the state of honduras
the town was on various occasions the capital of the state of honduras.
the town was on various occasions the capital of the state of honduras. the town was on various occasions the capital of the state of honduras. the town was on various occasions the capital of the state of honduras. the town was on various occasions the capital of the state of honduras.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town was on various occasions the capital of the state of honduras', 'the town was on various occasions the capital of the state of honduras', 'the town was on various occasions the capital of the state of honduras', 'the town was on various occasions the capital of the state of honduras', 'the town was on various occasions the capital of the state of honduras']
[ "artist espionne also created the artwork for bayview station", "artist espinan also created the artwork for bayview station", "artist espiong also created the artwork for bayview station", "artist espinal also created the artwork for bayview station", "artist s penal also created the artwork for bayview station" ]
artist espinal also created the artwork for bayview station
artist espionne also created the artwork for bayview station.
artist espinan also created the artwork for bayview station. artist espiong also created the artwork for bayview station. artist espinal also created the artwork for bayview station. artist s penal also created the artwork for bayview station.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['artist espionne also created the artwork for bayview station', 'artist espinan also created the artwork for bayview station', 'artist espiong also created the artwork for bayview station', 'artist espinal also created the artwork for bayview station', 'artist s penal also created the artwork for bayview station']
[ "he is best known for having been the singer of trust", "he is best known for having been the singer of trust", "he is best known for having been the singer of trust", "he is best known for having been the singer of trost", "he is best known for having been the singer of trost" ]
he is best known for having been the singer of trust
he is best known for having been the singer of trust.
he is best known for having been the singer of trust. he is best known for having been the singer of trust. he is best known for having been the singer of trost. he is best known for having been the singer of trost.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is best known for having been the singer of trust', 'he is best known for having been the singer of trust', 'he is best known for having been the singer of trust', 'he is best known for having been the singer of trost', 'he is best known for having been the singer of trost']
[ "nearby communities include maclin luceland and major", "nearby communities include mclint luceland and major", "nearby communities include macklin luceland and major", "nearby communities include maclin luceland and major", "nearby communities include mcclend luceland and major" ]
nearby communities include macklin luseland and major
nearby communities include maclin luceland and major.
nearby communities include mclint luceland and major. nearby communities include macklin luceland and major. nearby communities include maclin luceland and major. nearby communities include mcclend luceland and major.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nearby communities include maclin luceland and major', 'nearby communities include mclint luceland and major', 'nearby communities include macklin luceland and major', 'nearby communities include maclin luceland and major', 'nearby communities include mcclend luceland and major']
[ "after the war he went back to four times cycling", "after the war he went back to four times cycling", "after the war you went back to four times cycling", "after the war you went back to four times cycling", "after the war he went back to full time cycling" ]
after the war he went back to full time cycling
after the war he went back to four times cycling.
after the war he went back to four times cycling. after the war you went back to four times cycling. after the war you went back to four times cycling. after the war he went back to full time cycling.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the war he went back to four times cycling', 'after the war he went back to four times cycling', 'after the war you went back to four times cycling', 'after the war you went back to four times cycling', 'after the war he went back to full time cycling']
[ "toilet me reigned during the hellenistic period", "tolling me reigned during the hellenistic period", "tollamy reigned during the hellenistic period", "tolomey reigned during the hellenistic period", "toilet me rained during the hellenistic period" ]
ptolemy reigned during the hellenistic period
toilet me reigned during the hellenistic period.
tolling me reigned during the hellenistic period. tollamy reigned during the hellenistic period. tolomey reigned during the hellenistic period. toilet me rained during the hellenistic period.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['toilet me reigned during the hellenistic period', 'tolling me reigned during the hellenistic period', 'tollamy reigned during the hellenistic period', 'tolomey reigned during the hellenistic period', 'toilet me rained during the hellenistic period']
[ "this largely influenced charles baldwin in his development of the theory of evolution", "this largely influenced charles darwin in his development of the theory of evolution", "this largely influenced charles ballward in his development of the theory of evolution", "this largely influenced charles baldwin and his development of the theory of evolution", "this largely influenced charles baldwin in his development of the theory of evolution" ]
this largely influenced charles darwin in his development of the theory of evolution
this largely influenced charles baldwin in his development of the theory of evolution.
this largely influenced charles darwin in his development of the theory of evolution. this largely influenced charles ballward in his development of the theory of evolution. this largely influenced charles baldwin and his development of the theory of evolution. this largely influenced charles baldwin in his development of the theory of evolution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this largely influenced charles baldwin in his development of the theory of evolution', 'this largely influenced charles darwin in his development of the theory of evolution', 'this largely influenced charles ballward in his development of the theory of evolution', 'this largely influenced charles baldwin and his development of the theory of evolution', 'this largely influenced charles baldwin in his development of the theory of evolution']
[ "start a fire", "start a fire", "start a fire", "start a fire", "start a fire" ]
start a fire
start a fire.
start a fire. start a fire. start a fire. start a fire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['start a fire', 'start a fire', 'start a fire', 'start a fire', 'start a fire']
[ "the effect upon him was magical", "the effect upon him was magical", "the fact that panimo is magical", "the effect of animal is magic here", "the effect of a pandemic is magical" ]
the effect upon him was magical
the effect upon him was magical.
the effect upon him was magical. the fact that panimo is magical. the effect of animal is magic here. the effect of a pandemic is magical.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the effect upon him was magical', 'the effect upon him was magical', 'the fact that panimo is magical', 'the effect of animal is magic here', 'the effect of a pandemic is magical']
[ "salina was among the first female journalists in what i am bhaktad", "salina was among the first female journalist in what i am back then", "salina was among the first female journalist in what i am bhaktad", "salina was among the first female journalists in what i embarked on", "salina was among the first female journalist in what i embarked on" ]
salinas was among the first female journalists in wartime baghdad
salina was among the first female journalists in what i am bhaktad.
salina was among the first female journalist in what i am back then. salina was among the first female journalist in what i am bhaktad. salina was among the first female journalists in what i embarked on. salina was among the first female journalist in what i embarked on.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['salina was among the first female journalists in what i am bhaktad', 'salina was among the first female journalist in what i am back then', 'salina was among the first female journalist in what i am bhaktad', 'salina was among the first female journalists in what i embarked on', 'salina was among the first female journalist in what i embarked on']
[ "alcohols can be converted to oscillate groups so that they do not react", "alcohols can be converted to to oscillate groups so that they do not react", "alcohols can be converted to oscillate groups so that they do not react", "alcohols can be converted to dosilate groups so that they do not react", "alcohols can be converted to oscillate groups so that they do not react" ]
alcohols can be converted to tosylate groups so that they do not react
alcohols can be converted to oscillate groups so that they do not react.
alcohols can be converted to to oscillate groups so that they do not react. alcohols can be converted to oscillate groups so that they do not react. alcohols can be converted to dosilate groups so that they do not react. alcohols can be converted to oscillate groups so that they do not react.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['alcohols can be converted to oscillate groups so that they do not react', 'alcohols can be converted to to oscillate groups so that they do not react', 'alcohols can be converted to oscillate groups so that they do not react', 'alcohols can be converted to dosilate groups so that they do not react', 'alcohols can be converted to oscillate groups so that they do not react']
[ "that atherosonic beam can be heard for miles", "that atheroscopic bone can be heard for miles", "the aquasosonic beam can be heard for miles", "that atherosonic beam can be heard for miles", "the aquasovic beam can be heard for miles" ]
the echoes of a sonic boom can be heard for miles
that atherosonic beam can be heard for miles.
that atheroscopic bone can be heard for miles. the aquasosonic beam can be heard for miles. that atherosonic beam can be heard for miles. the aquasovic beam can be heard for miles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that atherosonic beam can be heard for miles', 'that atheroscopic bone can be heard for miles', 'the aquasosonic beam can be heard for miles', 'that atherosonic beam can be heard for miles', 'the aquasovic beam can be heard for miles']
[ "the company wanted to grow from its best communications and its stations in the lansing market", "the company wanted to grow from its best communications and its stations in the dancing market", "the company wanted to grow when its best communications and its stations in the lansing market", "the company wanted to grow in its best communications and its stations in the lansing market", "the company wanted to grow from its best communication and its stations in the dancing market" ]
the company continued to grow when midwest communications added stations in the lansing market
the company wanted to grow from its best communications and its stations in the lansing market.
the company wanted to grow from its best communications and its stations in the dancing market. the company wanted to grow when its best communications and its stations in the lansing market. the company wanted to grow in its best communications and its stations in the lansing market. the company wanted to grow from its best communication and its stations in the dancing market.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company wanted to grow from its best communications and its stations in the lansing market', 'the company wanted to grow from its best communications and its stations in the dancing market', 'the company wanted to grow when its best communications and its stations in the lansing market', 'the company wanted to grow in its best communications and its stations in the lansing market', 'the company wanted to grow from its best communication and its stations in the dancing market']
[ "mario do albertinelli was born in florence as the son of a gold beater", "mariodo albertinelli was born in florence as the son of a gold beater", "mariodo albertinelli was born in florence as the son of a gold betar", "mario do albertinelli was born in florence as the son of a gold beater", "mariodo albertinelli was born in florence as the son of a gold beater" ]
mariotto albertinelli was born in florence as the son of a gold beater
mario do albertinelli was born in florence as the son of a gold beater.
mariodo albertinelli was born in florence as the son of a gold beater. mariodo albertinelli was born in florence as the son of a gold betar. mario do albertinelli was born in florence as the son of a gold beater. mariodo albertinelli was born in florence as the son of a gold beater.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mario do albertinelli was born in florence as the son of a gold beater', 'mariodo albertinelli was born in florence as the son of a gold beater', 'mariodo albertinelli was born in florence as the son of a gold betar', 'mario do albertinelli was born in florence as the son of a gold beater', 'mariodo albertinelli was born in florence as the son of a gold beater']
[ "one of the contemporary chronicles mentioned her as the queen cecilia", "one of the contemporary chronicles mentioned her as the queen cecilia", "one of the contemporary chronicles mentioned as the queen cecilia", "one of the contemporary conicals mentioned her as the queen cecilia", "one of the contemporary chronicles mentioned her as the queen cecilia" ]
one of the contemporary chronicles mention her as the queen cecilia
one of the contemporary chronicles mentioned her as the queen cecilia.
one of the contemporary chronicles mentioned her as the queen cecilia. one of the contemporary chronicles mentioned as the queen cecilia. one of the contemporary conicals mentioned her as the queen cecilia. one of the contemporary chronicles mentioned her as the queen cecilia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the contemporary chronicles mentioned her as the queen cecilia', 'one of the contemporary chronicles mentioned her as the queen cecilia', 'one of the contemporary chronicles mentioned as the queen cecilia', 'one of the contemporary conicals mentioned her as the queen cecilia', 'one of the contemporary chronicles mentioned her as the queen cecilia']
[ "luxury goods often have special luxury package into different shades of products from mainstream competitors", "luxury goods often have special luxury package into different shades of products for mainstream competitors", "luxury goods often have special luxury package into different shades of products from mainstream competitors", "luxury goods often have special luxury package into different shades of products for mainstream competitors", "luxury goods often have special luxury packaging to differentiate the products from mainstream competitors" ]
luxury goods often have special luxury packaging to differentiate the products from mainstream competitors
luxury goods often have special luxury package into different shades of products from mainstream competitors.
luxury goods often have special luxury package into different shades of products for mainstream competitors. luxury goods often have special luxury package into different shades of products from mainstream competitors. luxury goods often have special luxury package into different shades of products for mainstream competitors. luxury goods often have special luxury packaging to differentiate the products from mainstream competitors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['luxury goods often have special luxury package into different shades of products from mainstream competitors', 'luxury goods often have special luxury package into different shades of products for mainstream competitors', 'luxury goods often have special luxury package into different shades of products from mainstream competitors', 'luxury goods often have special luxury package into different shades of products for mainstream competitors', 'luxury goods often have special luxury packaging to differentiate the products from mainstream competitors']
[ "the damo height is and is long", "the damo height is and is long", "the download height is and is long", "the demo height is and is long", "the damo hides ease and ease long" ]
the dam wall height is and is long
the damo height is and is long.
the damo height is and is long. the download height is and is long. the demo height is and is long. the damo hides ease and ease long.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the damo height is and is long', 'the damo height is and is long', 'the download height is and is long', 'the demo height is and is long', 'the damo hides ease and ease long']
[ "mantras are also sometimes used in place of counting", "mantras are also sometimes used in places of counting", "mantra is are also sometimes used in place of counting", "mantras are also sometimes used in place of counting", "mantras are also sometimes used in a place of counting" ]
mantras are also sometimes used in place of counting
mantras are also sometimes used in place of counting.
mantras are also sometimes used in places of counting. mantra is are also sometimes used in place of counting. mantras are also sometimes used in place of counting. mantras are also sometimes used in a place of counting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mantras are also sometimes used in place of counting', 'mantras are also sometimes used in places of counting', 'mantra is are also sometimes used in place of counting', 'mantras are also sometimes used in place of counting', 'mantras are also sometimes used in a place of counting']
[ "these are heavy set birds with a hooked strike like bill", "these are heavy set birds with a hooked strike like bull", "these are heavy set birds with a hooked strike like bill", "these are heavy set birds with a hooked strike like bill", "these are heavy set birds with a hooked strike like bull" ]
these are heavyset birds with a hooked shrike like bill
these are heavy set birds with a hooked strike like bill.
these are heavy set birds with a hooked strike like bull. these are heavy set birds with a hooked strike like bill. these are heavy set birds with a hooked strike like bill. these are heavy set birds with a hooked strike like bull.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these are heavy set birds with a hooked strike like bill', 'these are heavy set birds with a hooked strike like bull', 'these are heavy set birds with a hooked strike like bill', 'these are heavy set birds with a hooked strike like bill', 'these are heavy set birds with a hooked strike like bull']
[ "stylistically the soviet circuses were different from their western counterparts", "stylistically the soviet circuses were different from their western counterparts", "stylistically the soviet circuses were different from their western counterparts", "stylistically the soviet circuses were different from their western counterparts", "stylistically the soviet circuses were different from their western counterparts" ]
stylistically the soviet circuses were different from their western counterparts
stylistically the soviet circuses were different from their western counterparts.
stylistically the soviet circuses were different from their western counterparts. stylistically the soviet circuses were different from their western counterparts. stylistically the soviet circuses were different from their western counterparts. stylistically the soviet circuses were different from their western counterparts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stylistically the soviet circuses were different from their western counterparts', 'stylistically the soviet circuses were different from their western counterparts', 'stylistically the soviet circuses were different from their western counterparts', 'stylistically the soviet circuses were different from their western counterparts', 'stylistically the soviet circuses were different from their western counterparts']
[ "i need that grammy", "i need that grammy", "i need that grimy", "i need that grummy", "i need that grammy" ]
i need that grammy
i need that grammy.
i need that grammy. i need that grimy. i need that grummy. i need that grammy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i need that grammy', 'i need that grammy', 'i need that grimy', 'i need that grummy', 'i need that grammy']
[ "the emblem depicts the broad mission of search and rescue in the united states", "the emblem depicts the broad mission of surge and rescue in the united states", "the emblem depicts the broad mission of surge and rescue in the united states", "the emblem depicts the broad mission of search and rescue in the united states", "the emblem depicts the broad mission of search and rescue in the united states" ]
the emblem depicts the broad mission of search and rescue in the united states
the emblem depicts the broad mission of search and rescue in the united states.
the emblem depicts the broad mission of surge and rescue in the united states. the emblem depicts the broad mission of surge and rescue in the united states. the emblem depicts the broad mission of search and rescue in the united states. the emblem depicts the broad mission of search and rescue in the united states.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the emblem depicts the broad mission of search and rescue in the united states', 'the emblem depicts the broad mission of surge and rescue in the united states', 'the emblem depicts the broad mission of surge and rescue in the united states', 'the emblem depicts the broad mission of search and rescue in the united states', 'the emblem depicts the broad mission of search and rescue in the united states']
[ "it is the capital of secura province in the pheora region", "it is the capital of secura province in the pheora region", "it is the capital of secura province in the theura region", "it is the capital of secura province in the fiora region", "it is the capital of secura province in the theura region" ]
it is the capital of sechura province in the piura region
it is the capital of secura province in the pheora region.
it is the capital of secura province in the pheora region. it is the capital of secura province in the theura region. it is the capital of secura province in the fiora region. it is the capital of secura province in the theura region.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the capital of secura province in the pheora region', 'it is the capital of secura province in the pheora region', 'it is the capital of secura province in the theura region', 'it is the capital of secura province in the fiora region', 'it is the capital of secura province in the theura region']
[ "freedranger systems often use slower growing breeds of turkey", "freed range systems often use slower growing breeds of turkey", "fried range systems often use slower growing breeds of turkey", "free range systems often use slower growing breeds of turkey", "freedranger systems often use slower growing breeds of turkey" ]
free range systems often use slower growing breeds of turkey
freedranger systems often use slower growing breeds of turkey.
freed range systems often use slower growing breeds of turkey. fried range systems often use slower growing breeds of turkey. free range systems often use slower growing breeds of turkey. freedranger systems often use slower growing breeds of turkey.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['freedranger systems often use slower growing breeds of turkey', 'freed range systems often use slower growing breeds of turkey', 'fried range systems often use slower growing breeds of turkey', 'free range systems often use slower growing breeds of turkey', 'freedranger systems often use slower growing breeds of turkey']
[ "good move to production and direction of each of our films", "give it to production and direction of each of our films", "good to move to production and direction of each of our films", "give smith to production and direction of each of our films", "good move to production and direction of each of films" ]
gupte moved to production and direction of feature films
good move to production and direction of each of our films.
give it to production and direction of each of our films. good to move to production and direction of each of our films. give smith to production and direction of each of our films. good move to production and direction of each of films.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['good move to production and direction of each of our films', 'give it to production and direction of each of our films', 'good to move to production and direction of each of our films', 'give smith to production and direction of each of our films', 'good move to production and direction of each of films']
[ "specifically the mutant with a ended up in the injuring lock kid with his organic destruction powers", "specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers", "specifically the mutant with a ended up in the injury locked kid with his organic destruction powers", "specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers", "specifically the mutant with a ended up in the injury lock keyed with his organic destruction powers" ]
specifically the mutant wither ended up endangering lockheed with his organic destruction powers
specifically the mutant with a ended up in the injuring lock kid with his organic destruction powers.
specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers. specifically the mutant with a ended up in the injury locked kid with his organic destruction powers. specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers. specifically the mutant with a ended up in the injury lock keyed with his organic destruction powers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['specifically the mutant with a ended up in the injuring lock kid with his organic destruction powers', 'specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers', 'specifically the mutant with a ended up in the injury locked kid with his organic destruction powers', 'specifically the mutant with a ended up in the injuring lock keyed with his organic destruction powers', 'specifically the mutant with a ended up in the injury lock keyed with his organic destruction powers']
[ "cody abyssal eddies the superintendent of school", "cody abyssal at the super intending of school", "cody abishar eddies the superintendent of school", "cody abishar at the super intending of school", "cody abyssal at these the superintendent of school" ]
cody abshier ed d s the superintendent of schools
cody abyssal eddies the superintendent of school.
cody abyssal at the super intending of school. cody abishar eddies the superintendent of school. cody abishar at the super intending of school. cody abyssal at these the superintendent of school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cody abyssal eddies the superintendent of school', 'cody abyssal at the super intending of school', 'cody abishar eddies the superintendent of school', 'cody abishar at the super intending of school', 'cody abyssal at these the superintendent of school']
[ "stryrene form material coated on the down facing side with torque activated adhesive", "stryvine form material coated on the down facing side with torque activated adhesive", "striving form material coated on the down facing side with torque activated adhesive", "strive in form material coated on the down facing side with torque activated adhesive", "stryrene form material coated on the down facing side with torque activated adhesive" ]
styrene foam material coated on the down facing side with torque activated adhesive
stryrene form material coated on the down facing side with torque activated adhesive.
stryvine form material coated on the down facing side with torque activated adhesive. striving form material coated on the down facing side with torque activated adhesive. strive in form material coated on the down facing side with torque activated adhesive. stryrene form material coated on the down facing side with torque activated adhesive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stryrene form material coated on the down facing side with torque activated adhesive', 'stryvine form material coated on the down facing side with torque activated adhesive', 'striving form material coated on the down facing side with torque activated adhesive', 'strive in form material coated on the down facing side with torque activated adhesive', 'stryrene form material coated on the down facing side with torque activated adhesive']
[ "examples of non vibrating objects are mallets hammers and sticks", "examples of non vibrating objects are mallets hammers and sticks", "examples of non vibrating objects are mallets hammers and sticks", "examples of non wibrating objects are mallets hammers and sticks", "examples of non vibrating objects are melads hammers and sticks" ]
examples of non vibrating objects are mallets hammers and sticks
examples of non vibrating objects are mallets hammers and sticks.
examples of non vibrating objects are mallets hammers and sticks. examples of non vibrating objects are mallets hammers and sticks. examples of non wibrating objects are mallets hammers and sticks. examples of non vibrating objects are melads hammers and sticks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['examples of non vibrating objects are mallets hammers and sticks', 'examples of non vibrating objects are mallets hammers and sticks', 'examples of non vibrating objects are mallets hammers and sticks', 'examples of non wibrating objects are mallets hammers and sticks', 'examples of non vibrating objects are melads hammers and sticks']
[ "during the remaining months rainfall is heavy", "during their remaining months rainfall is heavy", "during the remaining months rainfall is heavy", "during the remaining months rainfall is heavy", "during the remaining months rainfall is heavy" ]
during the remaining months rainfall is heavy
during the remaining months rainfall is heavy.
during their remaining months rainfall is heavy. during the remaining months rainfall is heavy. during the remaining months rainfall is heavy. during the remaining months rainfall is heavy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during the remaining months rainfall is heavy', 'during their remaining months rainfall is heavy', 'during the remaining months rainfall is heavy', 'during the remaining months rainfall is heavy', 'during the remaining months rainfall is heavy']
[ "a four wheel drive car is navigating along a rocky off road trail", "a four wheel drive car is navigating along a rocky off road trail", "a four wheel drive car is navigating along a rocky off road trail", "a four wheel drive car is navigating along a rocky offroad trail", "a four wheel drive car is navigating along a rocky offroad trail" ]
a four wheel drive car is navigating along a rocky off road trail
a four wheel drive car is navigating along a rocky off road trail.
a four wheel drive car is navigating along a rocky off road trail. a four wheel drive car is navigating along a rocky off road trail. a four wheel drive car is navigating along a rocky offroad trail. a four wheel drive car is navigating along a rocky offroad trail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a four wheel drive car is navigating along a rocky off road trail', 'a four wheel drive car is navigating along a rocky off road trail', 'a four wheel drive car is navigating along a rocky off road trail', 'a four wheel drive car is navigating along a rocky offroad trail', 'a four wheel drive car is navigating along a rocky offroad trail']
[ "they figured something weird was going on", "they figured something weird was going on", "they figured something weird was going on", "they figured something weird was going on", "they figured something weird was going on" ]
they figured something weird was going on
they figured something weird was going on.
they figured something weird was going on. they figured something weird was going on. they figured something weird was going on. they figured something weird was going on.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they figured something weird was going on', 'they figured something weird was going on', 'they figured something weird was going on', 'they figured something weird was going on', 'they figured something weird was going on']
[ "we are talking about some remixes too", "we are talking about some remixes too", "we are talking about some remixes too", "we are talking about some remixes too", "we are talking about some remixes too" ]
we are talking about some re mixes too
we are talking about some remixes too.
we are talking about some remixes too. we are talking about some remixes too. we are talking about some remixes too. we are talking about some remixes too.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are talking about some remixes too', 'we are talking about some remixes too', 'we are talking about some remixes too', 'we are talking about some remixes too', 'we are talking about some remixes too']
[ "mister mathers intermittent location is at forest lawn glendale", "mister mathers interment location is at forest lawn glendale", "mister mather is intermittent location is at forest lawn glendale", "mister mathers interment location is at forest lawn glendale", "mister mathers interment location is at forest lawn glendale" ]
mister mather is interment location is at forest lawn glendale
mister mathers intermittent location is at forest lawn glendale.
mister mathers interment location is at forest lawn glendale. mister mather is intermittent location is at forest lawn glendale. mister mathers interment location is at forest lawn glendale. mister mathers interment location is at forest lawn glendale.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mister mathers intermittent location is at forest lawn glendale', 'mister mathers interment location is at forest lawn glendale', 'mister mather is intermittent location is at forest lawn glendale', 'mister mathers interment location is at forest lawn glendale', 'mister mathers interment location is at forest lawn glendale']
[ "we wanted to revive the classical animation style of the studios at lake classic", "we wanted to revive the classical animation style of the studios early classic", "we wanted to revive the classical animation style of the studios are late classic", "we wanted to revive the classical animation style of the studios are lay classic", "we wanted to revive the classical animation style of the studios are like classic" ]
he wanted to revive the classical animation style of the studio is early classics
we wanted to revive the classical animation style of the studios at lake classic.
we wanted to revive the classical animation style of the studios early classic. we wanted to revive the classical animation style of the studios are late classic. we wanted to revive the classical animation style of the studios are lay classic. we wanted to revive the classical animation style of the studios are like classic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we wanted to revive the classical animation style of the studios at lake classic', 'we wanted to revive the classical animation style of the studios early classic', 'we wanted to revive the classical animation style of the studios are late classic', 'we wanted to revive the classical animation style of the studios are lay classic', 'we wanted to revive the classical animation style of the studios are like classic']
[ "of the project team members friend friend mournery reflected and we walk like dogs", "of the project team members friends friends monitoring reflected and we walk like dogs", "of the project team members friends friends monitoring reflected and we walk like dogs", "of the project team members friend friend monitoring reflected and we walk like dogs", "of the project team members friend friend monitoring reflected and we walk like dogs" ]
of the project team member fred monroe later reflected we worked like dogs
of the project team members friend friend mournery reflected and we walk like dogs.
of the project team members friends friends monitoring reflected and we walk like dogs. of the project team members friends friends monitoring reflected and we walk like dogs. of the project team members friend friend monitoring reflected and we walk like dogs. of the project team members friend friend monitoring reflected and we walk like dogs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of the project team members friend friend mournery reflected and we walk like dogs', 'of the project team members friends friends monitoring reflected and we walk like dogs', 'of the project team members friends friends monitoring reflected and we walk like dogs', 'of the project team members friend friend monitoring reflected and we walk like dogs', 'of the project team members friend friend monitoring reflected and we walk like dogs']
[ "it contained various categories of business news about companies privatization or investment", "it contained various categories of business news about companies privatization or investment", "it contained various categories of business news about companies privatization or investment", "it contained various categories of business news about company is privatization or investment", "it contained various categories of business news about company is privatization or investment" ]
it contained various categories of business news about companies privatization or investment
it contained various categories of business news about companies privatization or investment.
it contained various categories of business news about companies privatization or investment. it contained various categories of business news about companies privatization or investment. it contained various categories of business news about company is privatization or investment. it contained various categories of business news about company is privatization or investment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it contained various categories of business news about companies privatization or investment', 'it contained various categories of business news about companies privatization or investment', 'it contained various categories of business news about companies privatization or investment', 'it contained various categories of business news about company is privatization or investment', 'it contained various categories of business news about company is privatization or investment']
[ "it was applied to the lower classes and sleeves", "it was applied to the lower classes and slaves", "it was applied to the lower classes and sleeves", "it was applied to the lower classes and sleeves", "it was applied to the lower classes and slaves" ]
it was applied to the lower classes and slaves
it was applied to the lower classes and sleeves.
it was applied to the lower classes and slaves. it was applied to the lower classes and sleeves. it was applied to the lower classes and sleeves. it was applied to the lower classes and slaves.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was applied to the lower classes and sleeves', 'it was applied to the lower classes and slaves', 'it was applied to the lower classes and sleeves', 'it was applied to the lower classes and sleeves', 'it was applied to the lower classes and slaves']
[ "in massachusetts the ticket was daniel webster and granger", "in massachusetts the ticker was daniel webster and granger", "in massachusetts the ticket was daniel webster and granger", "in massachusetts the ticket was daniel webster and granger", "in message you says the ticket was daniel webster and granger" ]
in massachusetts the ticket was daniel webster and granger
in massachusetts the ticket was daniel webster and granger.
in massachusetts the ticker was daniel webster and granger. in massachusetts the ticket was daniel webster and granger. in massachusetts the ticket was daniel webster and granger. in message you says the ticket was daniel webster and granger.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in massachusetts the ticket was daniel webster and granger', 'in massachusetts the ticker was daniel webster and granger', 'in massachusetts the ticket was daniel webster and granger', 'in massachusetts the ticket was daniel webster and granger', 'in message you says the ticket was daniel webster and granger']
[ "he is currently the head coach of nancy is", "he is currently in the head coach of nancy is", "he is currently at the head coach of nancy is", "he is currently the head coach of nancy is", "he is currently in the head coach of nancy is" ]
he is currently the head coach of nantes
he is currently the head coach of nancy is.
he is currently in the head coach of nancy is. he is currently at the head coach of nancy is. he is currently the head coach of nancy is. he is currently in the head coach of nancy is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is currently the head coach of nancy is', 'he is currently in the head coach of nancy is', 'he is currently at the head coach of nancy is', 'he is currently the head coach of nancy is', 'he is currently in the head coach of nancy is']
[ "loosely park in the hamlet of littleton lies to the north of the village", "loasley park in the hamlet of littleton lies to the north of the village", "lose lee park in the hamlet of littleton lies to the north of the village", "loosely park in the hamlet of littleton lies to the north of the village", "low sleep park in the hamlet of littleton lies to the north of the village" ]
loseley park in the hamlet of littleton lies to the north of the village
loosely park in the hamlet of littleton lies to the north of the village.
loasley park in the hamlet of littleton lies to the north of the village. lose lee park in the hamlet of littleton lies to the north of the village. loosely park in the hamlet of littleton lies to the north of the village. low sleep park in the hamlet of littleton lies to the north of the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['loosely park in the hamlet of littleton lies to the north of the village', 'loasley park in the hamlet of littleton lies to the north of the village', 'lose lee park in the hamlet of littleton lies to the north of the village', 'loosely park in the hamlet of littleton lies to the north of the village', 'low sleep park in the hamlet of littleton lies to the north of the village']
[ "the christian democratic party is the longest lasting of el salvador is two leading parties", "the christian democratic party is the longest lasting of el salvador is two leading parties", "the christian democratic party is the longest lasting of al salvador is two leading parties", "the christian democratic party is the longest lasting of el salvador is two leading parties", "the christian democratic party is the longest lasting of el salvador is two leading parties" ]
the christian democratic party is the longest lasting of el salvador is two leading parties
the christian democratic party is the longest lasting of el salvador is two leading parties.
the christian democratic party is the longest lasting of el salvador is two leading parties. the christian democratic party is the longest lasting of al salvador is two leading parties. the christian democratic party is the longest lasting of el salvador is two leading parties. the christian democratic party is the longest lasting of el salvador is two leading parties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the christian democratic party is the longest lasting of el salvador is two leading parties', 'the christian democratic party is the longest lasting of el salvador is two leading parties', 'the christian democratic party is the longest lasting of al salvador is two leading parties', 'the christian democratic party is the longest lasting of el salvador is two leading parties', 'the christian democratic party is the longest lasting of el salvador is two leading parties']
[ "they are one of the strongest units of the game", "they are one of the strongest units of the game", "they are one of the strongest units of the game", "they are one of the strongest units of the game", "they are one of the strongest units of the game" ]
they are one of the strongest units of the game
they are one of the strongest units of the game.
they are one of the strongest units of the game. they are one of the strongest units of the game. they are one of the strongest units of the game. they are one of the strongest units of the game.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are one of the strongest units of the game', 'they are one of the strongest units of the game', 'they are one of the strongest units of the game', 'they are one of the strongest units of the game', 'they are one of the strongest units of the game']
[ "koveneg is home to some of long island is wealthiest families and residents", "kovenek is home to some of long island is wealthiest families and residents", "kovneck is home to some of long island is wealthiest families and residents", "coveneg is home to some of long island is wealthiest families and residents", "koveneg is home to some of long islands wealthiest families and residents" ]
cove neck is home to some of long island is wealthiest families and residents
koveneg is home to some of long island is wealthiest families and residents.
kovenek is home to some of long island is wealthiest families and residents. kovneck is home to some of long island is wealthiest families and residents. coveneg is home to some of long island is wealthiest families and residents. koveneg is home to some of long islands wealthiest families and residents.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['koveneg is home to some of long island is wealthiest families and residents', 'kovenek is home to some of long island is wealthiest families and residents', 'kovneck is home to some of long island is wealthiest families and residents', 'coveneg is home to some of long island is wealthiest families and residents', 'koveneg is home to some of long islands wealthiest families and residents']
[ "a third deans wrote the books no dig gardening and leaves of life", "a third deans wrote the books no dig gardening and leaves of life", "a third deans wrote the books no dig gardening and leaves of life", "a third deans wrote the book snowdeg gardening and leaves of life", "a third deans wrote the books no de gardening and leaves of life" ]
esther deans wrote the books no dig gardening and leaves of life
a third deans wrote the books no dig gardening and leaves of life.
a third deans wrote the books no dig gardening and leaves of life. a third deans wrote the books no dig gardening and leaves of life. a third deans wrote the book snowdeg gardening and leaves of life. a third deans wrote the books no de gardening and leaves of life.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a third deans wrote the books no dig gardening and leaves of life', 'a third deans wrote the books no dig gardening and leaves of life', 'a third deans wrote the books no dig gardening and leaves of life', 'a third deans wrote the book snowdeg gardening and leaves of life', 'a third deans wrote the books no de gardening and leaves of life']
[ "an advocate of abstinence and moral virtue he was a tea totler", "an advocate of abstinence and moral virtue he was a teetotler", "an advocate of abstinence and moral virtue he was a tea totler", "an advocate of abstinence and moral virtue he was a tea totale", "an advocate of abstinence and moral virtue he was a tea totler" ]
an advocate of abstinence and moral virtue he was a teetotaler
an advocate of abstinence and moral virtue he was a tea totler.
an advocate of abstinence and moral virtue he was a teetotler. an advocate of abstinence and moral virtue he was a tea totler. an advocate of abstinence and moral virtue he was a tea totale. an advocate of abstinence and moral virtue he was a tea totler.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an advocate of abstinence and moral virtue he was a tea totler', 'an advocate of abstinence and moral virtue he was a teetotler', 'an advocate of abstinence and moral virtue he was a tea totler', 'an advocate of abstinence and moral virtue he was a tea totale', 'an advocate of abstinence and moral virtue he was a tea totler']
[ "the mouth of the river is along the coast in cape lanko state park", "the mouth of the river is along the coast in cape land coast cape park", "the mouth of the river is along the coast and cape lanko state park", "the mouth of the river is along the coast in cape plancus cape park", "the mouth of the river is along the coast in cape lankos cape park" ]
the mouth of the river is along the coast in cape blanco state park
the mouth of the river is along the coast in cape lanko state park.
the mouth of the river is along the coast in cape land coast cape park. the mouth of the river is along the coast and cape lanko state park. the mouth of the river is along the coast in cape plancus cape park. the mouth of the river is along the coast in cape lankos cape park.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mouth of the river is along the coast in cape lanko state park', 'the mouth of the river is along the coast in cape land coast cape park', 'the mouth of the river is along the coast and cape lanko state park', 'the mouth of the river is along the coast in cape plancus cape park', 'the mouth of the river is along the coast in cape lankos cape park']
[ "showing empathy is what makes us human", "showing empathy is what makes us human", "showing empathy is what makes us human", "showing empathy is what makes us human", "showing empathy is what makes us human" ]
showing empathy is what makes us human
showing empathy is what makes us human.
showing empathy is what makes us human. showing empathy is what makes us human. showing empathy is what makes us human. showing empathy is what makes us human.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['showing empathy is what makes us human', 'showing empathy is what makes us human', 'showing empathy is what makes us human', 'showing empathy is what makes us human', 'showing empathy is what makes us human']
[ "his awards are both for his conducting and his compositions", "his awards are both through his conducting and his compositions", "here is awards are both for his conducting and his compositions", "his awards are both for his conducting and his compositions", "his awards are both through his conducting and his compositions" ]
his awards are both for his conducting and his compositions
his awards are both for his conducting and his compositions.
his awards are both through his conducting and his compositions. here is awards are both for his conducting and his compositions. his awards are both for his conducting and his compositions. his awards are both through his conducting and his compositions.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his awards are both for his conducting and his compositions', 'his awards are both through his conducting and his compositions', 'here is awards are both for his conducting and his compositions', 'his awards are both for his conducting and his compositions', 'his awards are both through his conducting and his compositions']
[ "the primary impact is the killing and displacing of crabs on the forest floor", "the primary impact is the killing and displacing of crebs on the forest floor", "the primary impact is the killing and displacing of cramps on the forest floor", "the primary impact is the killing and displacing of crems on the forest floor", "the primary impact is the killing and displacing of creps on the forest floor" ]
the primary impact is the killing and displacing of crabs on the forest floor
the primary impact is the killing and displacing of crabs on the forest floor.
the primary impact is the killing and displacing of crebs on the forest floor. the primary impact is the killing and displacing of cramps on the forest floor. the primary impact is the killing and displacing of crems on the forest floor. the primary impact is the killing and displacing of creps on the forest floor.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the primary impact is the killing and displacing of crabs on the forest floor', 'the primary impact is the killing and displacing of crebs on the forest floor', 'the primary impact is the killing and displacing of cramps on the forest floor', 'the primary impact is the killing and displacing of crems on the forest floor', 'the primary impact is the killing and displacing of creps on the forest floor']
[ "was presented by first minister allen salman at glasgow royal concert hall", "was presented by first minister alex salman at glasgow royal concert hall", "was presented by first minister alan salman at glasgow royal concert hall", "was presented by first minister allen salman at glasgow royal concert hall", "was presented by first minister allen salman at glasgow royal concert hall" ]
the award was presented by first minister alex salmond at glasgow royal concert hall
was presented by first minister allen salman at glasgow royal concert hall.
was presented by first minister alex salman at glasgow royal concert hall. was presented by first minister alan salman at glasgow royal concert hall. was presented by first minister allen salman at glasgow royal concert hall. was presented by first minister allen salman at glasgow royal concert hall.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['was presented by first minister allen salman at glasgow royal concert hall', 'was presented by first minister alex salman at glasgow royal concert hall', 'was presented by first minister alan salman at glasgow royal concert hall', 'was presented by first minister allen salman at glasgow royal concert hall', 'was presented by first minister allen salman at glasgow royal concert hall']
[ "it has overlapping craters", "it has overlapping craters", "it has overlapping creators", "it has overlapping craters", "it has overlapped creators" ]
it has overlapping craters
it has overlapping craters.
it has overlapping craters. it has overlapping creators. it has overlapping craters. it has overlapped creators.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has overlapping craters', 'it has overlapping craters', 'it has overlapping creators', 'it has overlapping craters', 'it has overlapped creators']
[ "the brett family is today represented by the account asha", "the bret family is today represented by the account asha", "the brett family is today represented by my count asha", "the bret family is today represented by the count escher", "the brett family is today represented by the account asha" ]
the brett family is today represented by viscount esher
the brett family is today represented by the account asha.
the bret family is today represented by the account asha. the brett family is today represented by my count asha. the bret family is today represented by the count escher. the brett family is today represented by the account asha.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the brett family is today represented by the account asha', 'the bret family is today represented by the account asha', 'the brett family is today represented by my count asha', 'the bret family is today represented by the count escher', 'the brett family is today represented by the account asha']
[ "later back end tubes were used", "later back end tubes were used", "later back and tubes were used", "later back and tubes were used", "later back and tubes were used" ]
later vacuum tubes were used
later back end tubes were used.
later back end tubes were used. later back and tubes were used. later back and tubes were used. later back and tubes were used.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later back end tubes were used', 'later back end tubes were used', 'later back and tubes were used', 'later back and tubes were used', 'later back and tubes were used']
[ "the university has two major campuses tiltrum and weekend", "the university has two major campuses tiltrum and weekend", "the university has two major campuses tiltrum and began", "the university has two major campuses tiltrum and vietnam", "the university has two major campuses tiltrum and began" ]
the university has two major campuses taichung and beigang
the university has two major campuses tiltrum and weekend.
the university has two major campuses tiltrum and weekend. the university has two major campuses tiltrum and began. the university has two major campuses tiltrum and vietnam. the university has two major campuses tiltrum and began.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the university has two major campuses tiltrum and weekend', 'the university has two major campuses tiltrum and weekend', 'the university has two major campuses tiltrum and began', 'the university has two major campuses tiltrum and vietnam', 'the university has two major campuses tiltrum and began']