hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"the indicative mode has three tense present future and past",
"the indicator mode has three tense present future and past",
"the indicative mode has three dance present future and past",
"the indicator mode has three tents present future and past",
"the indicator mode has three tents present future and past"
] |
the indicative mood has three tenses present future and past
|
the indicative mode has three tense present future and past.
|
the indicator mode has three tense present future and past. the indicative mode has three dance present future and past. the indicator mode has three tents present future and past. the indicator mode has three tents present future and past.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the indicative mode has three tense present future and past', 'the indicator mode has three tense present future and past', 'the indicative mode has three dance present future and past', 'the indicator mode has three tents present future and past', 'the indicator mode has three tents present future and past']
|
|
[
"saint jerome is within the university of waterloo combines academics and a residence",
"saint jerome is within the university of waterloo combines academics and a residence",
"saint jerome is within the university of waterloo combines academics and a result",
"saint jerome is within the university of waterloo combines academics and a result",
"saint jerome is within the university of waterloo combines academics and a result"
] |
saint jerome is within the university of waterloo combines academics and a residence
|
saint jerome is within the university of waterloo combines academics and a residence.
|
saint jerome is within the university of waterloo combines academics and a residence. saint jerome is within the university of waterloo combines academics and a result. saint jerome is within the university of waterloo combines academics and a result. saint jerome is within the university of waterloo combines academics and a result.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['saint jerome is within the university of waterloo combines academics and a residence', 'saint jerome is within the university of waterloo combines academics and a residence', 'saint jerome is within the university of waterloo combines academics and a result', 'saint jerome is within the university of waterloo combines academics and a result', 'saint jerome is within the university of waterloo combines academics and a result']
|
|
[
"this demonstrated him as a competent climber",
"this demonstrated him as a competent climber",
"this demonstrated him as a competent climber",
"this demonstrated him as a competent climber",
"this demonstrated him as a competent climber"
] |
this demonstrated him as a competent climber
|
this demonstrated him as a competent climber.
|
this demonstrated him as a competent climber. this demonstrated him as a competent climber. this demonstrated him as a competent climber. this demonstrated him as a competent climber.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this demonstrated him as a competent climber', 'this demonstrated him as a competent climber', 'this demonstrated him as a competent climber', 'this demonstrated him as a competent climber', 'this demonstrated him as a competent climber']
|
|
[
"propose is architect by profession having studied architecture in hazelt",
"propose is architect by profession having studied architecture in haselt",
"propose is architect by profession having studied architecture in hasselt",
"prepoise is architect by profession having studied architecture in hazelt",
"prepoise is architect by profession having studied architecture in haselt"
] |
brepoels is architect by profession having studied architecture in hasselt
|
propose is architect by profession having studied architecture in hazelt.
|
propose is architect by profession having studied architecture in haselt. propose is architect by profession having studied architecture in hasselt. prepoise is architect by profession having studied architecture in hazelt. prepoise is architect by profession having studied architecture in haselt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['propose is architect by profession having studied architecture in hazelt', 'propose is architect by profession having studied architecture in haselt', 'propose is architect by profession having studied architecture in hasselt', 'prepoise is architect by profession having studied architecture in hazelt', 'prepoise is architect by profession having studied architecture in haselt']
|
|
[
"meal puns on these rivers are a prominent feature of the landscape",
"meal puns on these rivers are a permanent feature of the landscape",
"mule puns on these rivers are a prominent feature of the landscape",
"mule puns on these rivers are a permanent feature of the landscape",
"meal puns on these rivers are our permanent feature of the landscape"
] |
mill ponds on these rivers are a prominent feature of the landscape
|
meal puns on these rivers are a prominent feature of the landscape.
|
meal puns on these rivers are a permanent feature of the landscape. mule puns on these rivers are a prominent feature of the landscape. mule puns on these rivers are a permanent feature of the landscape. meal puns on these rivers are our permanent feature of the landscape.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['meal puns on these rivers are a prominent feature of the landscape', 'meal puns on these rivers are a permanent feature of the landscape', 'mule puns on these rivers are a prominent feature of the landscape', 'mule puns on these rivers are a permanent feature of the landscape', 'meal puns on these rivers are our permanent feature of the landscape']
|
|
[
"vaughn is openly gay and relationship with a boyfriend",
"vana is openly gay and relationship with a boyfriend",
"vaughn is openly gay in relationship with a boyfriend",
"vana is openly gay in relationship with a boyfriend",
"vaughna is openly gay and relationship with a boyfriend"
] |
varner is openly gay and in a relationship with a boyfriend
|
vaughn is openly gay and relationship with a boyfriend.
|
vana is openly gay and relationship with a boyfriend. vaughn is openly gay in relationship with a boyfriend. vana is openly gay in relationship with a boyfriend. vaughna is openly gay and relationship with a boyfriend.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['vaughn is openly gay and relationship with a boyfriend', 'vana is openly gay and relationship with a boyfriend', 'vaughn is openly gay in relationship with a boyfriend', 'vana is openly gay in relationship with a boyfriend', 'vaughna is openly gay and relationship with a boyfriend']
|
|
[
"common final products includes structural shapes rails rods and seamless pipes",
"common final products include structural shapes rails rods and seamless pipes",
"common final products includes structural shapes rails rods and seamless pipes",
"common final products include structural shapes rails rods and seamless pipes",
"common final products includes structural shapes rails rods and seamless pipes"
] |
common final products include structural shapes rails rods and seamless pipes
|
common final products includes structural shapes rails rods and seamless pipes.
|
common final products include structural shapes rails rods and seamless pipes. common final products includes structural shapes rails rods and seamless pipes. common final products include structural shapes rails rods and seamless pipes. common final products includes structural shapes rails rods and seamless pipes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['common final products includes structural shapes rails rods and seamless pipes', 'common final products include structural shapes rails rods and seamless pipes', 'common final products includes structural shapes rails rods and seamless pipes', 'common final products include structural shapes rails rods and seamless pipes', 'common final products includes structural shapes rails rods and seamless pipes']
|
|
[
"she is married and has five rescue cats",
"she is married and has five rescue cats",
"she is married and has five rescue cats",
"she is married and has five rescue cats",
"she is married and has five rescue cats"
] |
she is married and has five rescue cats
|
she is married and has five rescue cats.
|
she is married and has five rescue cats. she is married and has five rescue cats. she is married and has five rescue cats. she is married and has five rescue cats.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is married and has five rescue cats', 'she is married and has five rescue cats', 'she is married and has five rescue cats', 'she is married and has five rescue cats', 'she is married and has five rescue cats']
|
|
[
"the motherwell district electoral divisions of clyde whale d alziel and vishraw",
"the motherwell district electoral divisions of clyde whale d alziel and vishraw",
"the motherwell district electoral divisions of clydeville d alziel and vishraw",
"the motherwell district electoral divisions of clyde whale d alziel and vishraw",
"the motherwell district electoral divisions of clyde whale d alziel and vishraw"
] |
the motherwell district electoral divisions of clydevale dalziel and wishaw
|
the motherwell district electoral divisions of clyde whale d alziel and vishraw.
|
the motherwell district electoral divisions of clyde whale d alziel and vishraw. the motherwell district electoral divisions of clydeville d alziel and vishraw. the motherwell district electoral divisions of clyde whale d alziel and vishraw. the motherwell district electoral divisions of clyde whale d alziel and vishraw.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the motherwell district electoral divisions of clyde whale d alziel and vishraw', 'the motherwell district electoral divisions of clyde whale d alziel and vishraw', 'the motherwell district electoral divisions of clydeville d alziel and vishraw', 'the motherwell district electoral divisions of clyde whale d alziel and vishraw', 'the motherwell district electoral divisions of clyde whale d alziel and vishraw']
|
|
[
"the green shoves were silent all around",
"the green shubs were silent all around",
"the green shrubs were silent all around",
"the green shelves were silent all around",
"the green shubs were silent all around"
] |
the green shrubs were silent all around
|
the green shoves were silent all around.
|
the green shubs were silent all around. the green shrubs were silent all around. the green shelves were silent all around. the green shubs were silent all around.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the green shoves were silent all around', 'the green shubs were silent all around', 'the green shrubs were silent all around', 'the green shelves were silent all around', 'the green shubs were silent all around']
|
|
[
"the superintendent is doctor curtis j griffin ed d",
"the superintendent is doctor curtis j griffin ed d",
"the superintendent is doctor curtis j griffin edd",
"the superintendent is doctor curtis j griffin ed d",
"the superintendent is doctor curtis j griffin ed d"
] |
the superintendent is doctor curtis j griffin ed d
|
the superintendent is doctor curtis j griffin ed d.
|
the superintendent is doctor curtis j griffin ed d. the superintendent is doctor curtis j griffin edd. the superintendent is doctor curtis j griffin ed d. the superintendent is doctor curtis j griffin ed d.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the superintendent is doctor curtis j griffin ed d', 'the superintendent is doctor curtis j griffin ed d', 'the superintendent is doctor curtis j griffin edd', 'the superintendent is doctor curtis j griffin ed d', 'the superintendent is doctor curtis j griffin ed d']
|
|
[
"fish farming production of tilapia is becoming increasingly important in the rural campus",
"fish farming production of tilapia is becoming increasingly important in the rural campus",
"fish farming production of telapia is becoming increasingly important in the rural campus",
"fish farm and production of tilapia is becoming increasingly important in the rural campus",
"fish farming production of tilapia is becoming increasingly important in the rural campus"
] |
fishfarming production of tilapia is becoming increasingly important in the rural campos
|
fish farming production of tilapia is becoming increasingly important in the rural campus.
|
fish farming production of tilapia is becoming increasingly important in the rural campus. fish farming production of telapia is becoming increasingly important in the rural campus. fish farm and production of tilapia is becoming increasingly important in the rural campus. fish farming production of tilapia is becoming increasingly important in the rural campus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fish farming production of tilapia is becoming increasingly important in the rural campus', 'fish farming production of tilapia is becoming increasingly important in the rural campus', 'fish farming production of telapia is becoming increasingly important in the rural campus', 'fish farm and production of tilapia is becoming increasingly important in the rural campus', 'fish farming production of tilapia is becoming increasingly important in the rural campus']
|
|
[
"a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously",
"a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously",
"a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously",
"a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously",
"a key challenge therefor is to determine how to optimize all copper oxygen layers simultaneously"
] |
a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously
|
a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously.
|
a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously. a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously. a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously. a key challenge therefor is to determine how to optimize all copper oxygen layers simultaneously.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously', 'a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously', 'a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously', 'a key challenge therefore is to determine how to optimize all copper oxygen layers simultaneously', 'a key challenge therefor is to determine how to optimize all copper oxygen layers simultaneously']
|
|
[
"other sponsors and supporters we can contribute in",
"other sponsors and supporters we can contribute",
"other sponsors and support as we can contribute",
"are the sponsors and supporters we can contributing",
"other sponsors and support as we can contribute in"
] |
other sponsors and supporters began contributing
|
other sponsors and supporters we can contribute in.
|
other sponsors and supporters we can contribute. other sponsors and support as we can contribute. are the sponsors and supporters we can contributing. other sponsors and support as we can contribute in.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other sponsors and supporters we can contribute in', 'other sponsors and supporters we can contribute', 'other sponsors and support as we can contribute', 'are the sponsors and supporters we can contributing', 'other sponsors and support as we can contribute in']
|
|
[
"the rio is included within the east lake orion park center is designated place",
"the rio is included within the east lake orion park center is designated place",
"the rio is included within the east lake orion park census designated place",
"the rio is included within the east lake orient park center is designated place",
"the rio is included within the east lake orient park center is designated place"
] |
del rio is included within the east lake orient park census designated place
|
the rio is included within the east lake orion park center is designated place.
|
the rio is included within the east lake orion park center is designated place. the rio is included within the east lake orion park census designated place. the rio is included within the east lake orient park center is designated place. the rio is included within the east lake orient park center is designated place.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the rio is included within the east lake orion park center is designated place', 'the rio is included within the east lake orion park center is designated place', 'the rio is included within the east lake orion park census designated place', 'the rio is included within the east lake orient park center is designated place', 'the rio is included within the east lake orient park center is designated place']
|
|
[
"it is defined in metric units",
"it is defined in magic units",
"it is defined in matric units",
"it is defined in the metric units",
"it is defined in matchup units"
] |
it is defined in metric units
|
it is defined in metric units.
|
it is defined in magic units. it is defined in matric units. it is defined in the metric units. it is defined in matchup units.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is defined in metric units', 'it is defined in magic units', 'it is defined in matric units', 'it is defined in the metric units', 'it is defined in matchup units']
|
|
[
"he currently studies at the mell hoppenham school of cinema and montreal",
"he currently studies at the mel hoppe and hymns school of cinema and montreal",
"he currently studies at the mel hoppe and hymns school of cinema and montreal",
"he currently studies at the mel hopp and hymns school of cinema and montreal",
"he currently studies at the mell hopp and hymns school of cinema and montreal"
] |
he currently studies at the mel hoppenheim school of cinema in montreal
|
he currently studies at the mell hoppenham school of cinema and montreal.
|
he currently studies at the mel hoppe and hymns school of cinema and montreal. he currently studies at the mel hoppe and hymns school of cinema and montreal. he currently studies at the mel hopp and hymns school of cinema and montreal. he currently studies at the mell hopp and hymns school of cinema and montreal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he currently studies at the mell hoppenham school of cinema and montreal', 'he currently studies at the mel hoppe and hymns school of cinema and montreal', 'he currently studies at the mel hoppe and hymns school of cinema and montreal', 'he currently studies at the mel hopp and hymns school of cinema and montreal', 'he currently studies at the mell hopp and hymns school of cinema and montreal']
|
|
[
"grasp no more than die hand will hold",
"grass no more than die hand will hold",
"grasp no more than thy hand will hold",
"grass no more than dye hand will hold",
"grasp no more than dye hand will hold"
] |
grasp no more than thy hand will hold
|
grasp no more than die hand will hold.
|
grass no more than die hand will hold. grasp no more than thy hand will hold. grass no more than dye hand will hold. grasp no more than dye hand will hold.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['grasp no more than die hand will hold', 'grass no more than die hand will hold', 'grasp no more than thy hand will hold', 'grass no more than dye hand will hold', 'grasp no more than dye hand will hold']
|
|
[
"car continued to work in education in local schools as a behavior support consultant",
"car continued to work in education in local schools as a behavior support consultant",
"care continued to work in education in local schools as a behavior support consultant",
"car are continued to work in education in local schools as a behavior support consultant",
"care continued to work in education in local schools as a behavior support consultant"
] |
carr continued to work in education in local schools as a behavior support consultant
|
car continued to work in education in local schools as a behavior support consultant.
|
car continued to work in education in local schools as a behavior support consultant. care continued to work in education in local schools as a behavior support consultant. car are continued to work in education in local schools as a behavior support consultant. care continued to work in education in local schools as a behavior support consultant.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['car continued to work in education in local schools as a behavior support consultant', 'car continued to work in education in local schools as a behavior support consultant', 'care continued to work in education in local schools as a behavior support consultant', 'car are continued to work in education in local schools as a behavior support consultant', 'care continued to work in education in local schools as a behavior support consultant']
|
|
[
"husband and wife heading up there to go to the swimming hall",
"heading up there to go to the swimming hole",
"heading up there to go to the swimming hall",
"husband and wife heading up there to go to the swimming hall",
"husband and wife heading up there to go to the swimming hall"
] |
husband and wife heading up the hill to go to the swimming hole
|
husband and wife heading up there to go to the swimming hall.
|
heading up there to go to the swimming hole. heading up there to go to the swimming hall. husband and wife heading up there to go to the swimming hall. husband and wife heading up there to go to the swimming hall.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['husband and wife heading up there to go to the swimming hall', 'heading up there to go to the swimming hole', 'heading up there to go to the swimming hall', 'husband and wife heading up there to go to the swimming hall', 'husband and wife heading up there to go to the swimming hall']
|
|
[
"the explosion is considered an accident caused by a malfunction",
"the explosion is considered an accident caused by a malfunctioning",
"the explosion is considered an accident caused by a malfunctioning",
"the explosion is considered an accident caused by a malfunctioning",
"the explosion is considered an accident caused by a malfunctioning"
] |
the explosion is considered an accident caused by a malfunction
|
the explosion is considered an accident caused by a malfunction.
|
the explosion is considered an accident caused by a malfunctioning. the explosion is considered an accident caused by a malfunctioning. the explosion is considered an accident caused by a malfunctioning. the explosion is considered an accident caused by a malfunctioning.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the explosion is considered an accident caused by a malfunction', 'the explosion is considered an accident caused by a malfunctioning', 'the explosion is considered an accident caused by a malfunctioning', 'the explosion is considered an accident caused by a malfunctioning', 'the explosion is considered an accident caused by a malfunctioning']
|
|
[
"the bobbits were nominated for induction in the vocal group hall of fame",
"the bobbets were nominated for induction in the vocal group hall of fame",
"the puppets were nominated for induction in the vocal group hall of fame",
"the bobbits were nominated for induction in the vocal group hall of fame",
"the bar bits were nominated for induction in the vocal group hall of fame"
] |
the bobbettes were nominated for induction in the vocal group hall of fame
|
the bobbits were nominated for induction in the vocal group hall of fame.
|
the bobbets were nominated for induction in the vocal group hall of fame. the puppets were nominated for induction in the vocal group hall of fame. the bobbits were nominated for induction in the vocal group hall of fame. the bar bits were nominated for induction in the vocal group hall of fame.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bobbits were nominated for induction in the vocal group hall of fame', 'the bobbets were nominated for induction in the vocal group hall of fame', 'the puppets were nominated for induction in the vocal group hall of fame', 'the bobbits were nominated for induction in the vocal group hall of fame', 'the bar bits were nominated for induction in the vocal group hall of fame']
|
|
[
"they are found widely around the world in both fresh and saltwater",
"they are found widely around the world in houth fresh and saltwater",
"they are found widely around the world in both fresh and salt water",
"they are found widely around the world in hot fresh and saltwater",
"they are found widely around the world in hot fresh and salt water"
] |
they are found widely around the world in both fresh and salt water
|
they are found widely around the world in both fresh and saltwater.
|
they are found widely around the world in houth fresh and saltwater. they are found widely around the world in both fresh and salt water. they are found widely around the world in hot fresh and saltwater. they are found widely around the world in hot fresh and salt water.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they are found widely around the world in both fresh and saltwater', 'they are found widely around the world in houth fresh and saltwater', 'they are found widely around the world in both fresh and salt water', 'they are found widely around the world in hot fresh and saltwater', 'they are found widely around the world in hot fresh and salt water']
|
|
[
"santa da fatima catholic church which is built in chinese architecture located at jl",
"santa de fatima catholic church which is built in chinese architecture located at jl",
"santa de fatima catholic church which is built in chinese architecture located at jail",
"santa da fatima catholic church which is built in chinese architecture located at jail",
"santa da fatima catholic church which is built in chinese architecture located at jl"
] |
santa de fatima catholic church which is built in chinese architecture located at jl
|
santa da fatima catholic church which is built in chinese architecture located at jl.
|
santa de fatima catholic church which is built in chinese architecture located at jl. santa de fatima catholic church which is built in chinese architecture located at jail. santa da fatima catholic church which is built in chinese architecture located at jail. santa da fatima catholic church which is built in chinese architecture located at jl.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['santa da fatima catholic church which is built in chinese architecture located at jl', 'santa de fatima catholic church which is built in chinese architecture located at jl', 'santa de fatima catholic church which is built in chinese architecture located at jail', 'santa da fatima catholic church which is built in chinese architecture located at jail', 'santa da fatima catholic church which is built in chinese architecture located at jl']
|
|
[
"the owner is investment led to a season equally as dramatic",
"the owners investment led to a season equally as dramatic",
"the owners investment led to a season equally as dramatic",
"the owner is investment led to a seasoned equally as dramatic",
"the owner is investment led to a season equally is dramatic"
] |
the owners investment led to a season equally as dramatic
|
the owner is investment led to a season equally as dramatic.
|
the owners investment led to a season equally as dramatic. the owners investment led to a season equally as dramatic. the owner is investment led to a seasoned equally as dramatic. the owner is investment led to a season equally is dramatic.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the owner is investment led to a season equally as dramatic', 'the owners investment led to a season equally as dramatic', 'the owners investment led to a season equally as dramatic', 'the owner is investment led to a seasoned equally as dramatic', 'the owner is investment led to a season equally is dramatic']
|
|
[
"moreover thousands of citizens signed petitions calling for the publication is continuation",
"moreover thousands of citizens sign petitions calling for the publication is continuation",
"more over thousands of citizens signed petitions calling for the publication is continuation",
"moreover thousands of citizens signed petitions calling for the publication is continuation",
"more over thousands of citizens sign petitions calling for the publication is continuation"
] |
moreover thousands of citizens signed petitions calling for the publication is continuation
|
moreover thousands of citizens signed petitions calling for the publication is continuation.
|
moreover thousands of citizens sign petitions calling for the publication is continuation. more over thousands of citizens signed petitions calling for the publication is continuation. moreover thousands of citizens signed petitions calling for the publication is continuation. more over thousands of citizens sign petitions calling for the publication is continuation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['moreover thousands of citizens signed petitions calling for the publication is continuation', 'moreover thousands of citizens sign petitions calling for the publication is continuation', 'more over thousands of citizens signed petitions calling for the publication is continuation', 'moreover thousands of citizens signed petitions calling for the publication is continuation', 'more over thousands of citizens sign petitions calling for the publication is continuation']
|
|
[
"it also provides city residents a chance to experience traditional farming methods",
"it also provides city residents a chance to experience traditional farming methods",
"it also provides city residents a chance to experience traditional farming methods",
"it also provides city residents a chance to experience traditional farming methods",
"it also provides city residents a chance to experience traditional farming methods"
] |
it also provides city residents a chance to experience traditional farming methods
|
it also provides city residents a chance to experience traditional farming methods.
|
it also provides city residents a chance to experience traditional farming methods. it also provides city residents a chance to experience traditional farming methods. it also provides city residents a chance to experience traditional farming methods. it also provides city residents a chance to experience traditional farming methods.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also provides city residents a chance to experience traditional farming methods', 'it also provides city residents a chance to experience traditional farming methods', 'it also provides city residents a chance to experience traditional farming methods', 'it also provides city residents a chance to experience traditional farming methods', 'it also provides city residents a chance to experience traditional farming methods']
|
|
[
"three years later the twond son james was born",
"three years later the second son james was born",
"three years later the second son james was born",
"three years later the second sun james was born",
"three years later the second sun james was born"
] |
three years later their second son james was born
|
three years later the twond son james was born.
|
three years later the second son james was born. three years later the second son james was born. three years later the second sun james was born. three years later the second sun james was born.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three years later the twond son james was born', 'three years later the second son james was born', 'three years later the second son james was born', 'three years later the second sun james was born', 'three years later the second sun james was born']
|
|
[
"lynn m bragg serves as the trade association is president",
"lin embrag serves as the trade association is president",
"lynn embrag serves as the trade association is president",
"lynn embrack serves as the trade association is president",
"lynne embrag serves as the trade association is president"
] |
lynn m bragg serves as the trade association is president
|
lynn m bragg serves as the trade association is president.
|
lin embrag serves as the trade association is president. lynn embrag serves as the trade association is president. lynn embrack serves as the trade association is president. lynne embrag serves as the trade association is president.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lynn m bragg serves as the trade association is president', 'lin embrag serves as the trade association is president', 'lynn embrag serves as the trade association is president', 'lynn embrack serves as the trade association is president', 'lynne embrag serves as the trade association is president']
|
|
[
"our semi create exists in the memory",
"our semi cree exists in the memory",
"our semi cree exist in the memory",
"our semi cree exists in their memory",
"our semi create exists in their memory"
] |
a war cemetery exists in their memory
|
our semi create exists in the memory.
|
our semi cree exists in the memory. our semi cree exist in the memory. our semi cree exists in their memory. our semi create exists in their memory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['our semi create exists in the memory', 'our semi cree exists in the memory', 'our semi cree exist in the memory', 'our semi cree exists in their memory', 'our semi create exists in their memory']
|
|
[
"he retired to the couple is farm in marshall virginia to recuperate",
"he retired to the couple is farm in marshall virginia to recuperate",
"he replied to the couple is farm in marshall virginia to recuperate",
"he retired to the couple is farm in marshall virginia to recuperate",
"he retired to the couple is farm in marshall virginia to recuperate"
] |
he retired to the couple is farm in marshall virginia to recuperate
|
he retired to the couple is farm in marshall virginia to recuperate.
|
he retired to the couple is farm in marshall virginia to recuperate. he replied to the couple is farm in marshall virginia to recuperate. he retired to the couple is farm in marshall virginia to recuperate. he retired to the couple is farm in marshall virginia to recuperate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he retired to the couple is farm in marshall virginia to recuperate', 'he retired to the couple is farm in marshall virginia to recuperate', 'he replied to the couple is farm in marshall virginia to recuperate', 'he retired to the couple is farm in marshall virginia to recuperate', 'he retired to the couple is farm in marshall virginia to recuperate']
|
|
[
"three films have been made about sangliana",
"three films have been made about sangliana",
"three films have been made about sangli anah",
"three films have been made about sanglyana",
"three films have been made about sangliana"
] |
three films have been made about sangliana
|
three films have been made about sangliana.
|
three films have been made about sangliana. three films have been made about sangli anah. three films have been made about sanglyana. three films have been made about sangliana.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three films have been made about sangliana', 'three films have been made about sangliana', 'three films have been made about sangli anah', 'three films have been made about sanglyana', 'three films have been made about sangliana']
|
|
[
"this highways were coordinated by the west virginia department of transportation",
"these highways were coordinated by the west virginia department of transportation",
"this highways were coordinated by the west virginia department of transportation division of highways",
"these highways were coordinated by the west virginia department of transportation division of highways",
"these highways were coordinated by the west virginia department of transportation division of highways"
] |
these highways were coordinated by the west virginia department of transportation division of highways
|
this highways were coordinated by the west virginia department of transportation.
|
these highways were coordinated by the west virginia department of transportation. this highways were coordinated by the west virginia department of transportation division of highways. these highways were coordinated by the west virginia department of transportation division of highways. these highways were coordinated by the west virginia department of transportation division of highways.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this highways were coordinated by the west virginia department of transportation', 'these highways were coordinated by the west virginia department of transportation', 'this highways were coordinated by the west virginia department of transportation division of highways', 'these highways were coordinated by the west virginia department of transportation division of highways', 'these highways were coordinated by the west virginia department of transportation division of highways']
|
|
[
"answer is category to be included",
"answers category to be included",
"answer is category to be included",
"i want this category to be included",
"a answer is category to be included"
] |
answers category to be included
|
answer is category to be included.
|
answers category to be included. answer is category to be included. i want this category to be included. a answer is category to be included.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['answer is category to be included', 'answers category to be included', 'answer is category to be included', 'i want this category to be included', 'a answer is category to be included']
|
|
[
"he was preceded by in jong and succeeded by yong jong",
"he was preceded by in jong and succeeded by yong jong",
"he was preceded by injong and succeeded by myeongjong",
"he was preceded by injong and succeeded by yongjong",
"he was preceded by in jong and succeeded by yong jong"
] |
he was preceded by injong and succeeded by myeongjong
|
he was preceded by in jong and succeeded by yong jong.
|
he was preceded by in jong and succeeded by yong jong. he was preceded by injong and succeeded by myeongjong. he was preceded by injong and succeeded by yongjong. he was preceded by in jong and succeeded by yong jong.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was preceded by in jong and succeeded by yong jong', 'he was preceded by in jong and succeeded by yong jong', 'he was preceded by injong and succeeded by myeongjong', 'he was preceded by injong and succeeded by yongjong', 'he was preceded by in jong and succeeded by yong jong']
|
|
[
"this inspired her to read the novel and initially made her draw illustrations",
"this inspired her to read the novel and initially made her throughout illustrations",
"this inspired her to read the novel and initially made her draw illustrations",
"this inspired her to read the novel and initially made her throughout illustrations",
"this inspired her to read the novel and initially made her throughout illustrations"
] |
this inspired her to read the novel and initially made her draw illustrations
|
this inspired her to read the novel and initially made her draw illustrations.
|
this inspired her to read the novel and initially made her throughout illustrations. this inspired her to read the novel and initially made her draw illustrations. this inspired her to read the novel and initially made her throughout illustrations. this inspired her to read the novel and initially made her throughout illustrations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this inspired her to read the novel and initially made her draw illustrations', 'this inspired her to read the novel and initially made her throughout illustrations', 'this inspired her to read the novel and initially made her draw illustrations', 'this inspired her to read the novel and initially made her throughout illustrations', 'this inspired her to read the novel and initially made her throughout illustrations']
|
|
[
"at the bill he passed one of the two then lead is america john is so",
"at the bow he passed one of the two then lead is america john is so",
"at the bill he passed one of the two then lead is america john is so",
"at the bell he passed one of the two then lead is america john is so",
"at the bow he passed one of the two then lead is america john is so"
] |
at the bell he passed one of the two then leaders american john eisele
|
at the bill he passed one of the two then lead is america john is so.
|
at the bow he passed one of the two then lead is america john is so. at the bill he passed one of the two then lead is america john is so. at the bell he passed one of the two then lead is america john is so. at the bow he passed one of the two then lead is america john is so.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the bill he passed one of the two then lead is america john is so', 'at the bow he passed one of the two then lead is america john is so', 'at the bill he passed one of the two then lead is america john is so', 'at the bell he passed one of the two then lead is america john is so', 'at the bow he passed one of the two then lead is america john is so']
|
|
[
"a solution to this is data modeling a concept derived from object oriented programming",
"a solution to this is data modeling a concept arrived from object oriented programming",
"a solution to this is data modeling a concept derived from object oriented programming",
"a solution to this is data modeling a concept derived from object oriented programming",
"a solution to this is data modeling a concept arrived from object oriented programming"
] |
a solution to this is data modeling a concept derived from object oriented programming
|
a solution to this is data modeling a concept derived from object oriented programming.
|
a solution to this is data modeling a concept arrived from object oriented programming. a solution to this is data modeling a concept derived from object oriented programming. a solution to this is data modeling a concept derived from object oriented programming. a solution to this is data modeling a concept arrived from object oriented programming.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a solution to this is data modeling a concept derived from object oriented programming', 'a solution to this is data modeling a concept arrived from object oriented programming', 'a solution to this is data modeling a concept derived from object oriented programming', 'a solution to this is data modeling a concept derived from object oriented programming', 'a solution to this is data modeling a concept arrived from object oriented programming']
|
|
[
"and again i was troubled greatly troubled",
"and again i was troubled greatly troubled",
"and again i was troubled greatly troubled",
"and again i was troubled greatly troubled",
"and again i was troubled greatly troubled"
] |
and again i was troubled greatly troubled
|
and again i was troubled greatly troubled.
|
and again i was troubled greatly troubled. and again i was troubled greatly troubled. and again i was troubled greatly troubled. and again i was troubled greatly troubled.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and again i was troubled greatly troubled', 'and again i was troubled greatly troubled', 'and again i was troubled greatly troubled', 'and again i was troubled greatly troubled', 'and again i was troubled greatly troubled']
|
|
[
"some cultivars are spooned better such as pink birds",
"some cultivars have formed a petal such as pink birds",
"some cultivars are spooned petal such as pink birds",
"some culty was a spooned petal such as pink birds",
"some culty was as poomed petal such as pink birds"
] |
some cultivars have spooned petals such as pink whirls
|
some cultivars are spooned better such as pink birds.
|
some cultivars have formed a petal such as pink birds. some cultivars are spooned petal such as pink birds. some culty was a spooned petal such as pink birds. some culty was as poomed petal such as pink birds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some cultivars are spooned better such as pink birds', 'some cultivars have formed a petal such as pink birds', 'some cultivars are spooned petal such as pink birds', 'some culty was a spooned petal such as pink birds', 'some culty was as poomed petal such as pink birds']
|
|
[
"becore stayed out of politics for next six years",
"becore stayed out of politics for next six years",
"be core state out of politics for next six years",
"becour stayed out of politics for next six years",
"before stayed out of politics for next six years"
] |
decore stayed out of politics for the next six years
|
becore stayed out of politics for next six years.
|
becore stayed out of politics for next six years. be core state out of politics for next six years. becour stayed out of politics for next six years. before stayed out of politics for next six years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['becore stayed out of politics for next six years', 'becore stayed out of politics for next six years', 'be core state out of politics for next six years', 'becour stayed out of politics for next six years', 'before stayed out of politics for next six years']
|
|
[
"this is illustrated in the animation below",
"this is illustrated in my animation below",
"this is illustrated in the animation below",
"this is illustrated in my animation below",
"this is illustrated in the animation below"
] |
this is illustrated in the animation below
|
this is illustrated in the animation below.
|
this is illustrated in my animation below. this is illustrated in the animation below. this is illustrated in my animation below. this is illustrated in the animation below.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is illustrated in the animation below', 'this is illustrated in my animation below', 'this is illustrated in the animation below', 'this is illustrated in my animation below', 'this is illustrated in the animation below']
|
|
[
"in addition to belmont park belmont contains two local nature reserves",
"in addition to belmond park belmond contains two local nature reserves",
"in addition to belmont park belmont contains two local nature reserves",
"in addition to belmont park belmont contains two local nature reserves",
"in addition to belmont park belmont contains two local nature reserves"
] |
in addition to belmont park belmont contains two local nature reserves
|
in addition to belmont park belmont contains two local nature reserves.
|
in addition to belmond park belmond contains two local nature reserves. in addition to belmont park belmont contains two local nature reserves. in addition to belmont park belmont contains two local nature reserves. in addition to belmont park belmont contains two local nature reserves.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in addition to belmont park belmont contains two local nature reserves', 'in addition to belmond park belmond contains two local nature reserves', 'in addition to belmont park belmont contains two local nature reserves', 'in addition to belmont park belmont contains two local nature reserves', 'in addition to belmont park belmont contains two local nature reserves']
|
|
[
"in general the island experiences mild wet weather and dry hot summers",
"in general the island experiences mild wet weather and dry hot summers",
"in general the island experiences mild wet weatheres and dry hot summers",
"in general the island experiences mild wet weather and dry hot summers",
"in general the island experiences mild wet weathers and dry hot summers"
] |
in general the island experiences mild wet winters and dry hot summers
|
in general the island experiences mild wet weather and dry hot summers.
|
in general the island experiences mild wet weather and dry hot summers. in general the island experiences mild wet weatheres and dry hot summers. in general the island experiences mild wet weather and dry hot summers. in general the island experiences mild wet weathers and dry hot summers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in general the island experiences mild wet weather and dry hot summers', 'in general the island experiences mild wet weather and dry hot summers', 'in general the island experiences mild wet weatheres and dry hot summers', 'in general the island experiences mild wet weather and dry hot summers', 'in general the island experiences mild wet weathers and dry hot summers']
|
|
[
"many studies have been done of the tattooed population and society is view of tattoos",
"many studies have been done of the tattooed population and societies view of tattoos",
"many studies have been done of the tattooed population and society is view of tattoos",
"many studies have been done of the tattooed population and society is view of tatus",
"many studies have been done of the tattooed population and society is view of tattoos"
] |
many studies have been done of the tattooed population and society is view of tattoos
|
many studies have been done of the tattooed population and society is view of tattoos.
|
many studies have been done of the tattooed population and societies view of tattoos. many studies have been done of the tattooed population and society is view of tattoos. many studies have been done of the tattooed population and society is view of tatus. many studies have been done of the tattooed population and society is view of tattoos.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many studies have been done of the tattooed population and society is view of tattoos', 'many studies have been done of the tattooed population and societies view of tattoos', 'many studies have been done of the tattooed population and society is view of tattoos', 'many studies have been done of the tattooed population and society is view of tatus', 'many studies have been done of the tattooed population and society is view of tattoos']
|
|
[
"you resolve to overcome the bullying and become a stronger person",
"your resolve to overcome the bullying and become a stronger person",
"he resolved to overcome the bullying and become a stronger person",
"it is all to overcome the bullying and become a stronger person",
"here is all to overcome the bullying and become a stronger person"
] |
he resolved to overcome the bullying and become a stronger person
|
you resolve to overcome the bullying and become a stronger person.
|
your resolve to overcome the bullying and become a stronger person. he resolved to overcome the bullying and become a stronger person. it is all to overcome the bullying and become a stronger person. here is all to overcome the bullying and become a stronger person.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you resolve to overcome the bullying and become a stronger person', 'your resolve to overcome the bullying and become a stronger person', 'he resolved to overcome the bullying and become a stronger person', 'it is all to overcome the bullying and become a stronger person', 'here is all to overcome the bullying and become a stronger person']
|
|
[
"it is a form of red herring argument used to deliberately confuse the jury",
"it is a form of red herring argument used to deliberately confuse the jury",
"it is a form of red hairing argument used to deliberately confuse the jury",
"it is a form of red haring argument used to deliberately confuse the jury",
"it is a form of red herring argument used to deliberately confuse the jury"
] |
it is a form of red herring argument used to deliberately confuse the jury
|
it is a form of red herring argument used to deliberately confuse the jury.
|
it is a form of red herring argument used to deliberately confuse the jury. it is a form of red hairing argument used to deliberately confuse the jury. it is a form of red haring argument used to deliberately confuse the jury. it is a form of red herring argument used to deliberately confuse the jury.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a form of red herring argument used to deliberately confuse the jury', 'it is a form of red herring argument used to deliberately confuse the jury', 'it is a form of red hairing argument used to deliberately confuse the jury', 'it is a form of red haring argument used to deliberately confuse the jury', 'it is a form of red herring argument used to deliberately confuse the jury']
|
|
[
"more township is located in the lehigh valley region of the state",
"more township is located in the leihai valley region of the state",
"more township is located in the lehigh valley region of the state",
"more township is located in the leihau valley region of the state",
"more township is located in the lehigh valley region of the state"
] |
moore township is located in the lehigh valley region of the state
|
more township is located in the lehigh valley region of the state.
|
more township is located in the leihai valley region of the state. more township is located in the lehigh valley region of the state. more township is located in the leihau valley region of the state. more township is located in the lehigh valley region of the state.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more township is located in the lehigh valley region of the state', 'more township is located in the leihai valley region of the state', 'more township is located in the lehigh valley region of the state', 'more township is located in the leihau valley region of the state', 'more township is located in the lehigh valley region of the state']
|
|
[
"ripple has been involved in music since childhood",
"rupaul has been involved in music since childhood",
"ripple has been involved in music since childhood",
"rippo has been involved in music since childhood",
"grandpa has been involved in music since childhood"
] |
rupel has been involved in music since childhood
|
ripple has been involved in music since childhood.
|
rupaul has been involved in music since childhood. ripple has been involved in music since childhood. rippo has been involved in music since childhood. grandpa has been involved in music since childhood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ripple has been involved in music since childhood', 'rupaul has been involved in music since childhood', 'ripple has been involved in music since childhood', 'rippo has been involved in music since childhood', 'grandpa has been involved in music since childhood']
|
|
[
"he died in volmondois france",
"he died in volmenteau france",
"he died in voluntua france",
"he died in volmendoire france",
"he died in volmendoir france"
] |
he died in valmondois france
|
he died in volmondois france.
|
he died in volmenteau france. he died in voluntua france. he died in volmendoire france. he died in volmendoir france.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he died in volmondois france', 'he died in volmenteau france', 'he died in voluntua france', 'he died in volmendoire france', 'he died in volmendoir france']
|
|
[
"there is a pub called the sportsman is rest",
"there is a pub called the sportsman is rest",
"there is a pub called the sportsman is rest",
"there is a public court the sportsman is rest",
"there is a public court the sportsman is rest"
] |
there is a pub called the sportsman is rest
|
there is a pub called the sportsman is rest.
|
there is a pub called the sportsman is rest. there is a pub called the sportsman is rest. there is a public court the sportsman is rest. there is a public court the sportsman is rest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is a pub called the sportsman is rest', 'there is a pub called the sportsman is rest', 'there is a pub called the sportsman is rest', 'there is a public court the sportsman is rest', 'there is a public court the sportsman is rest']
|
|
[
"two women sitting down really used by this",
"two women sitting down really newspipers",
"two women sitting down really newspapers",
"two remnants sitting down really used by this",
"two women sitting down really use pipus"
] |
two women sitting down reading newspapers
|
two women sitting down really used by this.
|
two women sitting down really newspipers. two women sitting down really newspapers. two remnants sitting down really used by this. two women sitting down really use pipus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two women sitting down really used by this', 'two women sitting down really newspipers', 'two women sitting down really newspapers', 'two remnants sitting down really used by this', 'two women sitting down really use pipus']
|
|
[
"first a blood source is not a point source",
"first a blood source is not a coin source",
"first a blood source is not a point source",
"first a blood source is not a point source",
"first a blood source is not a coin source"
] |
first a blood source is not a point source
|
first a blood source is not a point source.
|
first a blood source is not a coin source. first a blood source is not a point source. first a blood source is not a point source. first a blood source is not a coin source.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['first a blood source is not a point source', 'first a blood source is not a coin source', 'first a blood source is not a point source', 'first a blood source is not a point source', 'first a blood source is not a coin source']
|
|
[
"there have been many big events held at the constant center",
"there have been many big events held at the constant center",
"there have been many big events held at the constant center",
"there have been many big events held at the constance center",
"there have been many big events held at the constant center"
] |
there have been many big events held at the constant center
|
there have been many big events held at the constant center.
|
there have been many big events held at the constant center. there have been many big events held at the constant center. there have been many big events held at the constance center. there have been many big events held at the constant center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there have been many big events held at the constant center', 'there have been many big events held at the constant center', 'there have been many big events held at the constant center', 'there have been many big events held at the constance center', 'there have been many big events held at the constant center']
|
|
[
"they moved into films after they were asked to rewrite michael bayes the island",
"they moved into films after they were asked to rewrite michael bayes the island",
"they moved into films after they were asked to rewrite michael bays the island",
"they moved into films after they were asked to rewrite michael bay is the island",
"they moved into films after they were asked to rewrite michael bays the island"
] |
they moved into films after they were asked to rewrite michael bay is the island
|
they moved into films after they were asked to rewrite michael bayes the island.
|
they moved into films after they were asked to rewrite michael bayes the island. they moved into films after they were asked to rewrite michael bays the island. they moved into films after they were asked to rewrite michael bay is the island. they moved into films after they were asked to rewrite michael bays the island.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they moved into films after they were asked to rewrite michael bayes the island', 'they moved into films after they were asked to rewrite michael bayes the island', 'they moved into films after they were asked to rewrite michael bays the island', 'they moved into films after they were asked to rewrite michael bay is the island', 'they moved into films after they were asked to rewrite michael bays the island']
|
|
[
"citicles were enrolled as regular students",
"citicles were enrolled as a regular students",
"citicles were enrolled as regulatory students",
"citicles were enrolled as a regulatory students",
"citiples were enrolled as regular students"
] |
city girls were enrolled as regular students
|
citicles were enrolled as regular students.
|
citicles were enrolled as a regular students. citicles were enrolled as regulatory students. citicles were enrolled as a regulatory students. citiples were enrolled as regular students.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['citicles were enrolled as regular students', 'citicles were enrolled as a regular students', 'citicles were enrolled as regulatory students', 'citicles were enrolled as a regulatory students', 'citiples were enrolled as regular students']
|
|
[
"he said such violence and cruelty is unacceptable and should be vigorously repudated",
"he said such violence in cruelty is unacceptable and should be vigorously repudated",
"he said such violence and cruelty is unacceptable and should be vigorously repudiated",
"he said such violence and cruelty is unacceptable and should be vigorously repudated",
"he said such valence and cruelty is unacceptable and should be vigorously repudated"
] |
he said such violence and cruelty is unacceptable and should be vigorously repudiated
|
he said such violence and cruelty is unacceptable and should be vigorously repudated.
|
he said such violence in cruelty is unacceptable and should be vigorously repudated. he said such violence and cruelty is unacceptable and should be vigorously repudiated. he said such violence and cruelty is unacceptable and should be vigorously repudated. he said such valence and cruelty is unacceptable and should be vigorously repudated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said such violence and cruelty is unacceptable and should be vigorously repudated', 'he said such violence in cruelty is unacceptable and should be vigorously repudated', 'he said such violence and cruelty is unacceptable and should be vigorously repudiated', 'he said such violence and cruelty is unacceptable and should be vigorously repudated', 'he said such valence and cruelty is unacceptable and should be vigorously repudated']
|
|
[
"this will result in roughing the center",
"this will result in roughing the center",
"this will result in wrapping the center",
"this will result in wrapping the center",
"this will result in wrapping the center"
] |
this will result in roughing the center
|
this will result in roughing the center.
|
this will result in roughing the center. this will result in wrapping the center. this will result in wrapping the center. this will result in wrapping the center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this will result in roughing the center', 'this will result in roughing the center', 'this will result in wrapping the center', 'this will result in wrapping the center', 'this will result in wrapping the center']
|
|
[
"doubly which macadam suggested the following correlations for horizontal plates",
"w which macadem suggested the following correlations for horizontal plates",
"w which macadem suggested the following correlations for horizontal plates",
"w which macadam suggested the following correlations for horizontal plates",
"doubly which macadem suggested the following correlations for horizontal plates"
] |
w h mcadams suggested the following correlations for horizontal plates
|
doubly which macadam suggested the following correlations for horizontal plates.
|
w which macadem suggested the following correlations for horizontal plates. w which macadem suggested the following correlations for horizontal plates. w which macadam suggested the following correlations for horizontal plates. doubly which macadem suggested the following correlations for horizontal plates.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['doubly which macadam suggested the following correlations for horizontal plates', 'w which macadem suggested the following correlations for horizontal plates', 'w which macadem suggested the following correlations for horizontal plates', 'w which macadam suggested the following correlations for horizontal plates', 'doubly which macadem suggested the following correlations for horizontal plates']
|
|
[
"numerous personal tragedy is dark in his life",
"numerous personal tragedies darken his life",
"numerous personal tragedy is darkened in life",
"numerous personal tragedy is darkening is life",
"numerous personal tragedies darken in life"
] |
numerous personal tragedies darkened his life
|
numerous personal tragedy is dark in his life.
|
numerous personal tragedies darken his life. numerous personal tragedy is darkened in life. numerous personal tragedy is darkening is life. numerous personal tragedies darken in life.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['numerous personal tragedy is dark in his life', 'numerous personal tragedies darken his life', 'numerous personal tragedy is darkened in life', 'numerous personal tragedy is darkening is life', 'numerous personal tragedies darken in life']
|
|
[
"meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette",
"meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette",
"meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette",
"meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette",
"meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette"
] |
meanwhile jaune tom and his sidekick robespierre arrive in paris searching for mewsette
|
meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette.
|
meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette. meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette. meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette. meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette', 'meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette', 'meanwhile joan tom and his sidekick robespierre arrive in paris searching for musette', 'meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette', 'meanwhile sherne tom and his sidekick robespierre arrive in paris searching for musette']
|
|
[
"he joined the board of directors of boom",
"he joined the board of directors of boom",
"he joined the board of directors of boom",
"he joined the board of directors of boom",
"he joined the board of directors of boom"
] |
he joined the board of directors of boom
|
he joined the board of directors of boom.
|
he joined the board of directors of boom. he joined the board of directors of boom. he joined the board of directors of boom. he joined the board of directors of boom.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he joined the board of directors of boom', 'he joined the board of directors of boom', 'he joined the board of directors of boom', 'he joined the board of directors of boom', 'he joined the board of directors of boom']
|
|
[
"it now works solely in development testing and broadcast tools for digital television",
"it now works solely in development testing and broadcast tools for digital television",
"it now works solely in development testing and broadcast tools for digital television",
"it now works solely in development testing and broadcast tools for digital television",
"it now works solely in development testing and broadcast tools for digital television"
] |
it now works solely in development testing and broadcast tools for digital television
|
it now works solely in development testing and broadcast tools for digital television.
|
it now works solely in development testing and broadcast tools for digital television. it now works solely in development testing and broadcast tools for digital television. it now works solely in development testing and broadcast tools for digital television. it now works solely in development testing and broadcast tools for digital television.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it now works solely in development testing and broadcast tools for digital television', 'it now works solely in development testing and broadcast tools for digital television', 'it now works solely in development testing and broadcast tools for digital television', 'it now works solely in development testing and broadcast tools for digital television', 'it now works solely in development testing and broadcast tools for digital television']
|
|
[
"it also introduced kudzu a software library for automatic discovery and configuration of hardware",
"it also introduced codzu a software library for automatic discovery and configuration of hardware",
"it also introduced cutzoo a software library for automatic discovery and configuration of hardware",
"it also introduced kuzu a software library for automatic discovery and configuration of hardware",
"it also introduced kodzu a software library for automatic discovery and configuration of hardware"
] |
it also introduced kudzu a software library for automatic discovery and configuration of hardware
|
it also introduced kudzu a software library for automatic discovery and configuration of hardware.
|
it also introduced codzu a software library for automatic discovery and configuration of hardware. it also introduced cutzoo a software library for automatic discovery and configuration of hardware. it also introduced kuzu a software library for automatic discovery and configuration of hardware. it also introduced kodzu a software library for automatic discovery and configuration of hardware.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also introduced kudzu a software library for automatic discovery and configuration of hardware', 'it also introduced codzu a software library for automatic discovery and configuration of hardware', 'it also introduced cutzoo a software library for automatic discovery and configuration of hardware', 'it also introduced kuzu a software library for automatic discovery and configuration of hardware', 'it also introduced kodzu a software library for automatic discovery and configuration of hardware']
|
|
[
"he was left in charge of kandahar after mullah umar went into hiding",
"he was left in charge of kandahar after mullah umar went into hiding",
"he was left in charge of kandahar after mullah omar went into hiding",
"he was left in charge of gandhar after mullah umar went into hiding",
"he was left in charge of kandahar after mullah omar went into hiding"
] |
he was left in charge of kandahar after mullah omar went into hiding
|
he was left in charge of kandahar after mullah umar went into hiding.
|
he was left in charge of kandahar after mullah umar went into hiding. he was left in charge of kandahar after mullah omar went into hiding. he was left in charge of gandhar after mullah umar went into hiding. he was left in charge of kandahar after mullah omar went into hiding.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was left in charge of kandahar after mullah umar went into hiding', 'he was left in charge of kandahar after mullah umar went into hiding', 'he was left in charge of kandahar after mullah omar went into hiding', 'he was left in charge of gandhar after mullah umar went into hiding', 'he was left in charge of kandahar after mullah omar went into hiding']
|
|
[
"band up chipsis opens some months later with a complete change of pace",
"band up chips is open some months later with a complete change of pace",
"band up chipsis opens some months later with the complete change of pace",
"band up chips is open some months later with a complete change of pace",
"band up chipsis open some months later with a complete change of pace"
] |
band of gypsys opens some months later with a complete change of pace
|
band up chipsis opens some months later with a complete change of pace.
|
band up chips is open some months later with a complete change of pace. band up chipsis opens some months later with the complete change of pace. band up chips is open some months later with a complete change of pace. band up chipsis open some months later with a complete change of pace.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['band up chipsis opens some months later with a complete change of pace', 'band up chips is open some months later with a complete change of pace', 'band up chipsis opens some months later with the complete change of pace', 'band up chips is open some months later with a complete change of pace', 'band up chipsis open some months later with a complete change of pace']
|
|
[
"i hear that we have been experts from the army",
"i hear that we have been expert from the army",
"i hear that we have been expert from the army",
"i hear that we have been experts from the army",
"i hear that we have the expert from the army"
] |
i hear that we have been expelled from the army
|
i hear that we have been experts from the army.
|
i hear that we have been expert from the army. i hear that we have been expert from the army. i hear that we have been experts from the army. i hear that we have the expert from the army.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i hear that we have been experts from the army', 'i hear that we have been expert from the army', 'i hear that we have been expert from the army', 'i hear that we have been experts from the army', 'i hear that we have the expert from the army']
|
|
[
"the maximum amounts of aluminum corresponded to a depth",
"the maximum amounts of aluminum corresponded to a depot",
"the maximum amounts of aluminum corresponding to a depth",
"the maximum amounts of aluminum corresponded to a depth",
"maximum amounts of aluminum corresponded to a depth"
] |
the maximum amounts of aluminum correspond to a depth
|
the maximum amounts of aluminum corresponded to a depth.
|
the maximum amounts of aluminum corresponded to a depot. the maximum amounts of aluminum corresponding to a depth. the maximum amounts of aluminum corresponded to a depth. maximum amounts of aluminum corresponded to a depth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the maximum amounts of aluminum corresponded to a depth', 'the maximum amounts of aluminum corresponded to a depot', 'the maximum amounts of aluminum corresponding to a depth', 'the maximum amounts of aluminum corresponded to a depth', 'maximum amounts of aluminum corresponded to a depth']
|
|
[
"in most of his books childrens and teenagers are the main characters",
"in most of his books children and teenagers are the main characters",
"in most of his books children and teenagers are the main characters",
"in most of his books childrens and teenagers are the main characters",
"in most of his books children and teenagers are the main characters"
] |
in most of his books children and teenagers are the main characters
|
in most of his books childrens and teenagers are the main characters.
|
in most of his books children and teenagers are the main characters. in most of his books children and teenagers are the main characters. in most of his books childrens and teenagers are the main characters. in most of his books children and teenagers are the main characters.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in most of his books childrens and teenagers are the main characters', 'in most of his books children and teenagers are the main characters', 'in most of his books children and teenagers are the main characters', 'in most of his books childrens and teenagers are the main characters', 'in most of his books children and teenagers are the main characters']
|
|
[
"he was interred in forest hill cemetery in madison wisconsin",
"he was interned in forest hill cemetery in madison wisconsin",
"he was interred in forest hills cemetery in madison wisconsin",
"he was interred in forest hill cemetery in madison wisconsin",
"he was interred in forest hill cemetry in madison wisconsin"
] |
he was interred in forest hill cemetery in madison wisconsin
|
he was interred in forest hill cemetery in madison wisconsin.
|
he was interned in forest hill cemetery in madison wisconsin. he was interred in forest hills cemetery in madison wisconsin. he was interred in forest hill cemetery in madison wisconsin. he was interred in forest hill cemetry in madison wisconsin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was interred in forest hill cemetery in madison wisconsin', 'he was interned in forest hill cemetery in madison wisconsin', 'he was interred in forest hills cemetery in madison wisconsin', 'he was interred in forest hill cemetery in madison wisconsin', 'he was interred in forest hill cemetry in madison wisconsin']
|
|
[
"images of the album coverage show the name boards of canada",
"images of the album coverage show the name boards of canada",
"images of the album coverage show the name boards of canada",
"images of the album coverage show the name boards of canada",
"images of the alpine coverage show the name boards of canada"
] |
images of the album cover show the name boards of canada
|
images of the album coverage show the name boards of canada.
|
images of the album coverage show the name boards of canada. images of the album coverage show the name boards of canada. images of the album coverage show the name boards of canada. images of the alpine coverage show the name boards of canada.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['images of the album coverage show the name boards of canada', 'images of the album coverage show the name boards of canada', 'images of the album coverage show the name boards of canada', 'images of the album coverage show the name boards of canada', 'images of the alpine coverage show the name boards of canada']
|
|
[
"the eastern border of the town follows the white county line",
"the eastern border of the town follows the white county line",
"the eastern border of the town follows the white county line",
"the eastern border of the town follows the white county line",
"the eastern border of the town follows the white county line"
] |
the eastern border of the town follows the white county line
|
the eastern border of the town follows the white county line.
|
the eastern border of the town follows the white county line. the eastern border of the town follows the white county line. the eastern border of the town follows the white county line. the eastern border of the town follows the white county line.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the eastern border of the town follows the white county line', 'the eastern border of the town follows the white county line', 'the eastern border of the town follows the white county line', 'the eastern border of the town follows the white county line', 'the eastern border of the town follows the white county line']
|
|
[
"it was created by a local group led by autis christina tilago",
"it was created by local group led by autis christina tilago",
"it was created by a local group led by otis christina tilago",
"it was created by a local group led by autos christina tilago",
"it was created by a local group led by artists christina tilago"
] |
it was created by a local group lead by artist cristina delago
|
it was created by a local group led by autis christina tilago.
|
it was created by local group led by autis christina tilago. it was created by a local group led by otis christina tilago. it was created by a local group led by autos christina tilago. it was created by a local group led by artists christina tilago.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was created by a local group led by autis christina tilago', 'it was created by local group led by autis christina tilago', 'it was created by a local group led by otis christina tilago', 'it was created by a local group led by autos christina tilago', 'it was created by a local group led by artists christina tilago']
|
|
[
"she advocates freedom of thought and human rights by publishing lecturing and campaigning",
"she advocates freedom of thought and human rights by publishing lecturing and campaigning",
"she advocates freedom of thought and human rights by publishing lecturing and campaigning",
"she advocates freedom of thought and human rights by publishing lecturing and campaigning",
"she advocates freedom of thought and human rights by publishing lecturing and campaigning"
] |
she advocates freedom of thought and human rights by publishing lecturing and campaigning
|
she advocates freedom of thought and human rights by publishing lecturing and campaigning.
|
she advocates freedom of thought and human rights by publishing lecturing and campaigning. she advocates freedom of thought and human rights by publishing lecturing and campaigning. she advocates freedom of thought and human rights by publishing lecturing and campaigning. she advocates freedom of thought and human rights by publishing lecturing and campaigning.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she advocates freedom of thought and human rights by publishing lecturing and campaigning', 'she advocates freedom of thought and human rights by publishing lecturing and campaigning', 'she advocates freedom of thought and human rights by publishing lecturing and campaigning', 'she advocates freedom of thought and human rights by publishing lecturing and campaigning', 'she advocates freedom of thought and human rights by publishing lecturing and campaigning']
|
|
[
"complete economic integration is most common within countries rather than within supra national institutions",
"complete economic integration is most common within countries rather than within supra national institutions",
"complete economic integration is most common within countries rather than within supra national institutions",
"complete economic integration is most common within countries rather than within super national institutions",
"complete economic integration is most common within countries rather than within super national institutions"
] |
complete economic integration is most common within countries rather than within supranational institutions
|
complete economic integration is most common within countries rather than within supra national institutions.
|
complete economic integration is most common within countries rather than within supra national institutions. complete economic integration is most common within countries rather than within supra national institutions. complete economic integration is most common within countries rather than within super national institutions. complete economic integration is most common within countries rather than within super national institutions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['complete economic integration is most common within countries rather than within supra national institutions', 'complete economic integration is most common within countries rather than within supra national institutions', 'complete economic integration is most common within countries rather than within supra national institutions', 'complete economic integration is most common within countries rather than within super national institutions', 'complete economic integration is most common within countries rather than within super national institutions']
|
|
[
"at club level he plays for ballroom and kick ems",
"at club level he plays for ballroom and kick ems",
"at club level he plays for belliman kickham is",
"at club level he plays for ballroom and kick ums",
"at club level he plays for ballroom and kickums"
] |
at club level he plays for ballymun kickhams
|
at club level he plays for ballroom and kick ems.
|
at club level he plays for ballroom and kick ems. at club level he plays for belliman kickham is. at club level he plays for ballroom and kick ums. at club level he plays for ballroom and kickums.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at club level he plays for ballroom and kick ems', 'at club level he plays for ballroom and kick ems', 'at club level he plays for belliman kickham is', 'at club level he plays for ballroom and kick ums', 'at club level he plays for ballroom and kickums']
|
|
[
"he was later captured by the boers at tuy bosch",
"he was later captured by the boars at tuy bosch",
"he was later captured by the boers at tui bosch",
"he was later captured by the boers at tuybosh",
"he was later captured by the booze at tuy bosch"
] |
he was later captured by the boers at tweebosch
|
he was later captured by the boers at tuy bosch.
|
he was later captured by the boars at tuy bosch. he was later captured by the boers at tui bosch. he was later captured by the boers at tuybosh. he was later captured by the booze at tuy bosch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was later captured by the boers at tuy bosch', 'he was later captured by the boars at tuy bosch', 'he was later captured by the boers at tui bosch', 'he was later captured by the boers at tuybosh', 'he was later captured by the booze at tuy bosch']
|
|
[
"mouse renders also use other extended formats often without providing public documentation",
"mass renders also use other extended formats often without providing public documentation",
"mouse vendors also use other extended formats often without providing public documentation",
"mass vendors also use other extended formats often without providing public documentation",
"mouse vendors also use other extended formats often without providing public documentation"
] |
mouse vendors also use other extended formats often without providing public documentation
|
mouse renders also use other extended formats often without providing public documentation.
|
mass renders also use other extended formats often without providing public documentation. mouse vendors also use other extended formats often without providing public documentation. mass vendors also use other extended formats often without providing public documentation. mouse vendors also use other extended formats often without providing public documentation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mouse renders also use other extended formats often without providing public documentation', 'mass renders also use other extended formats often without providing public documentation', 'mouse vendors also use other extended formats often without providing public documentation', 'mass vendors also use other extended formats often without providing public documentation', 'mouse vendors also use other extended formats often without providing public documentation']
|
|
[
"the more strands and beads a necklace has the more valuable it is",
"the more strands and beads and a plus pass the more valuable it is",
"the more strands and beads an a plus pass the more valuable it is",
"the more strands and beads a necklace has the more valuable it is",
"the more strands and beads the more valuable it is"
] |
the more strands and beads a necklace has the more valuable it is
|
the more strands and beads a necklace has the more valuable it is.
|
the more strands and beads and a plus pass the more valuable it is. the more strands and beads an a plus pass the more valuable it is. the more strands and beads a necklace has the more valuable it is. the more strands and beads the more valuable it is.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the more strands and beads a necklace has the more valuable it is', 'the more strands and beads and a plus pass the more valuable it is', 'the more strands and beads an a plus pass the more valuable it is', 'the more strands and beads a necklace has the more valuable it is', 'the more strands and beads the more valuable it is']
|
|
[
"it would be surprising if it was not",
"it would be surprising if it was not",
"it would be surprising if it was not",
"it would be surprising if it was not",
"it would be surprising if it was not"
] |
it would be surprising if it was not
|
it would be surprising if it was not.
|
it would be surprising if it was not. it would be surprising if it was not. it would be surprising if it was not. it would be surprising if it was not.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it would be surprising if it was not', 'it would be surprising if it was not', 'it would be surprising if it was not', 'it would be surprising if it was not', 'it would be surprising if it was not']
|
|
[
"the bell is generally of a smaller diameter than a standard trumpet",
"the bell is generally of smaller diameter than a standard trumpet",
"the bell is generally of smaller diameter than standard trumpet",
"the bell is generally of a smaller diameter than a standard trumpet",
"the bell is generally of smaller diameter than a standard trumpet"
] |
the bell is generally of smaller diameter than a standard trumpet
|
the bell is generally of a smaller diameter than a standard trumpet.
|
the bell is generally of smaller diameter than a standard trumpet. the bell is generally of smaller diameter than standard trumpet. the bell is generally of a smaller diameter than a standard trumpet. the bell is generally of smaller diameter than a standard trumpet.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bell is generally of a smaller diameter than a standard trumpet', 'the bell is generally of smaller diameter than a standard trumpet', 'the bell is generally of smaller diameter than standard trumpet', 'the bell is generally of a smaller diameter than a standard trumpet', 'the bell is generally of smaller diameter than a standard trumpet']
|
|
[
"fans of both clubs bitterly opposed the merger and many tried to stop it",
"fans of both clubs bitterly opposed the merger and many tried to stop it",
"fans of both clubs bitterly opposed the merger and many tried to stop it",
"fans of both clubs bitterly opposed the merger and many tried to stop it",
"fans of both clubs bitterly opposed the merger and many tried to stop it"
] |
fans of both clubs bitterly opposed the merger and many tried to stop it
|
fans of both clubs bitterly opposed the merger and many tried to stop it.
|
fans of both clubs bitterly opposed the merger and many tried to stop it. fans of both clubs bitterly opposed the merger and many tried to stop it. fans of both clubs bitterly opposed the merger and many tried to stop it. fans of both clubs bitterly opposed the merger and many tried to stop it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fans of both clubs bitterly opposed the merger and many tried to stop it', 'fans of both clubs bitterly opposed the merger and many tried to stop it', 'fans of both clubs bitterly opposed the merger and many tried to stop it', 'fans of both clubs bitterly opposed the merger and many tried to stop it', 'fans of both clubs bitterly opposed the merger and many tried to stop it']
|
|
[
"cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star",
"chabonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar",
"cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar",
"chabonu initially declined clark is offer as he preferred life with the mandan and hiddlestar",
"cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star"
] |
charbonneau initially declined clark is offer as he preferred life with the mandan and hidatsa
|
cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star.
|
chabonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar. cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar. chabonu initially declined clark is offer as he preferred life with the mandan and hiddlestar. cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star', 'chabonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar', 'cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddlestar', 'chabonu initially declined clark is offer as he preferred life with the mandan and hiddlestar', 'cha bonu initially declined clarke is offer as he preferred life with the mandan and hiddest star']
|
|
[
"it is used in business related columns",
"it is used in business related columns",
"it is using business related columns",
"it is using business related columns",
"it is used in business related columns"
] |
it is used in business related columns
|
it is used in business related columns.
|
it is used in business related columns. it is using business related columns. it is using business related columns. it is used in business related columns.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is used in business related columns', 'it is used in business related columns', 'it is using business related columns', 'it is using business related columns', 'it is used in business related columns']
|
|
[
"from the agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania",
"from this agreement sediment began by europeans nearly arrived in pre revolutionary warp pennsylvania",
"from the agreement sediment began by europeans newly arrived in pre revolutionary war pennsylvania",
"from this agreement sediment began by europeans newly arrived in pre revolutionary warp pennsylvania",
"from this agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania"
] |
from this agreement settlement began by europeans newly arrived in pre revolutionary war pennsylvania
|
from the agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania.
|
from this agreement sediment began by europeans nearly arrived in pre revolutionary warp pennsylvania. from the agreement sediment began by europeans newly arrived in pre revolutionary war pennsylvania. from this agreement sediment began by europeans newly arrived in pre revolutionary warp pennsylvania. from this agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['from the agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania', 'from this agreement sediment began by europeans nearly arrived in pre revolutionary warp pennsylvania', 'from the agreement sediment began by europeans newly arrived in pre revolutionary war pennsylvania', 'from this agreement sediment began by europeans newly arrived in pre revolutionary warp pennsylvania', 'from this agreement sediment began by europeans nearly arrived in pre revolutionary war pennsylvania']
|
|
[
"smaller firms followed suit as well as the stock market",
"smaller firms follow suit as well as the stock market",
"smaller firms followed suit as well as a stock market",
"smaller firms follow suit as well as stock market",
"smaller firms follow suit as well as a stock market"
] |
smaller firms followed suit as well as the stock market
|
smaller firms followed suit as well as the stock market.
|
smaller firms follow suit as well as the stock market. smaller firms followed suit as well as a stock market. smaller firms follow suit as well as stock market. smaller firms follow suit as well as a stock market.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['smaller firms followed suit as well as the stock market', 'smaller firms follow suit as well as the stock market', 'smaller firms followed suit as well as a stock market', 'smaller firms follow suit as well as stock market', 'smaller firms follow suit as well as a stock market']
|
|
[
"thanks at the state in which valent is located at remains unsubscribed throughout the series",
"the except state in which balance is located at remains unsurcerate throughout the series",
"the except state in which balance is located at remains unsurcerated throughout the series",
"the except state in which balance is located and remains unsuspected throughout the series",
"thanks at the state in which valent is located at remains unsuspect throughout the series"
] |
the exact state in which bryland is located remains unspecified throughout the series
|
thanks at the state in which valent is located at remains unsubscribed throughout the series.
|
the except state in which balance is located at remains unsurcerate throughout the series. the except state in which balance is located at remains unsurcerated throughout the series. the except state in which balance is located and remains unsuspected throughout the series. thanks at the state in which valent is located at remains unsuspect throughout the series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['thanks at the state in which valent is located at remains unsubscribed throughout the series', 'the except state in which balance is located at remains unsurcerate throughout the series', 'the except state in which balance is located at remains unsurcerated throughout the series', 'the except state in which balance is located and remains unsuspected throughout the series', 'thanks at the state in which valent is located at remains unsuspect throughout the series']
|
|
[
"also mary beaumont was lifelong friends with horton",
"also mary beaumont was lifelong friends with the horton",
"also mary beaumont was lifelong friends with horton",
"also mary beaumont was life long friends with horton",
"also mary beaumont was lifelong friends with the horton"
] |
author mary beaumont was lifelong friends with horton
|
also mary beaumont was lifelong friends with horton.
|
also mary beaumont was lifelong friends with the horton. also mary beaumont was lifelong friends with horton. also mary beaumont was life long friends with horton. also mary beaumont was lifelong friends with the horton.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also mary beaumont was lifelong friends with horton', 'also mary beaumont was lifelong friends with the horton', 'also mary beaumont was lifelong friends with horton', 'also mary beaumont was life long friends with horton', 'also mary beaumont was lifelong friends with the horton']
|
|
[
"quite conveniently it coincided with another practice of prepare people",
"quite conveniently it coincided with another practice of proprietary people",
"quite conveniently it coincided with another practice of papaya people",
"quite conveniently it coincided with another practice of papaya people",
"quite conveniently it coincided with another practice of the thay people"
] |
quite conveniently it coincided with another practice of the thai people
|
quite conveniently it coincided with another practice of prepare people.
|
quite conveniently it coincided with another practice of proprietary people. quite conveniently it coincided with another practice of papaya people. quite conveniently it coincided with another practice of papaya people. quite conveniently it coincided with another practice of the thay people.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['quite conveniently it coincided with another practice of prepare people', 'quite conveniently it coincided with another practice of proprietary people', 'quite conveniently it coincided with another practice of papaya people', 'quite conveniently it coincided with another practice of papaya people', 'quite conveniently it coincided with another practice of the thay people']
|
|
[
"they also tend to spawn in large aggregations returning annually to the same locations",
"they also tend to spawn in large aggregations returning annually the same locations",
"they also tend to spawn in large aggregations returning and delete the same locations",
"they also tend to spawn in large aggregations returning annually to the same locations",
"they also tend to spawn in large aggregations returning annually the same vacations"
] |
they also tend to spawn in large aggregations returning annually to the same locations
|
they also tend to spawn in large aggregations returning annually to the same locations.
|
they also tend to spawn in large aggregations returning annually the same locations. they also tend to spawn in large aggregations returning and delete the same locations. they also tend to spawn in large aggregations returning annually to the same locations. they also tend to spawn in large aggregations returning annually the same vacations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they also tend to spawn in large aggregations returning annually to the same locations', 'they also tend to spawn in large aggregations returning annually the same locations', 'they also tend to spawn in large aggregations returning and delete the same locations', 'they also tend to spawn in large aggregations returning annually to the same locations', 'they also tend to spawn in large aggregations returning annually the same vacations']
|
|
[
"these may be about characters the setting or the scene being played",
"these may be about characters the setting or the scene being played",
"these may be about characters the settings or the scene being played",
"these may be about characters the setting or the scene being played",
"these may be about characters the setting or scene being played"
] |
these may be about characters the setting or the scene being played
|
these may be about characters the setting or the scene being played.
|
these may be about characters the setting or the scene being played. these may be about characters the settings or the scene being played. these may be about characters the setting or the scene being played. these may be about characters the setting or scene being played.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these may be about characters the setting or the scene being played', 'these may be about characters the setting or the scene being played', 'these may be about characters the settings or the scene being played', 'these may be about characters the setting or the scene being played', 'these may be about characters the setting or scene being played']
|
|
[
"the graphics stack has several peculiarities unusual for a web browser",
"the graphics stack has several peculiarities unusual for a web browser",
"the graphics stack has several peculiarities unusual for a web browser",
"the graphics stack has several peculiarities and unusual for a web browser",
"the graphics stack has several peculiarities unusual for a web browser"
] |
the graphics stack has several peculiarities unusual for a web browser
|
the graphics stack has several peculiarities unusual for a web browser.
|
the graphics stack has several peculiarities unusual for a web browser. the graphics stack has several peculiarities unusual for a web browser. the graphics stack has several peculiarities and unusual for a web browser. the graphics stack has several peculiarities unusual for a web browser.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the graphics stack has several peculiarities unusual for a web browser', 'the graphics stack has several peculiarities unusual for a web browser', 'the graphics stack has several peculiarities unusual for a web browser', 'the graphics stack has several peculiarities and unusual for a web browser', 'the graphics stack has several peculiarities unusual for a web browser']
|
|
[
"bads investors travels down the river or a parody of the film deliverance",
"beds investors travels down the river or a parody of the film deliverance",
"bads and busters travels down the river or a parody of the film deliverance",
"bads and busters travels down the river or a parody of the film deliverance",
"bads and busters travels down the river are a parody of the film deliverance"
] |
babs and buster is travels down the river are a parody of the film deliverance
|
bads investors travels down the river or a parody of the film deliverance.
|
beds investors travels down the river or a parody of the film deliverance. bads and busters travels down the river or a parody of the film deliverance. bads and busters travels down the river or a parody of the film deliverance. bads and busters travels down the river are a parody of the film deliverance.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bads investors travels down the river or a parody of the film deliverance', 'beds investors travels down the river or a parody of the film deliverance', 'bads and busters travels down the river or a parody of the film deliverance', 'bads and busters travels down the river or a parody of the film deliverance', 'bads and busters travels down the river are a parody of the film deliverance']
|
|
[
"however this cannot top up the reservoir itself",
"however this cannot top up the reservoir itself",
"however this cannot top up the receiver itself",
"however this cannot top up the reservoir itself",
"however this cannot top up the reservoir itself"
] |
however this cannot top up the reservoir itself
|
however this cannot top up the reservoir itself.
|
however this cannot top up the reservoir itself. however this cannot top up the receiver itself. however this cannot top up the reservoir itself. however this cannot top up the reservoir itself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however this cannot top up the reservoir itself', 'however this cannot top up the reservoir itself', 'however this cannot top up the receiver itself', 'however this cannot top up the reservoir itself', 'however this cannot top up the reservoir itself']
|
|
[
"the story has been told by his disciple john knox",
"the story has been told by his disciple john knox",
"the story has been told by this disciple john knox",
"the story has been told by this disciple john knox",
"the story has been told by this disciple john knox"
] |
the story has been told by his disciple john knox
|
the story has been told by his disciple john knox.
|
the story has been told by his disciple john knox. the story has been told by this disciple john knox. the story has been told by this disciple john knox. the story has been told by this disciple john knox.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the story has been told by his disciple john knox', 'the story has been told by his disciple john knox', 'the story has been told by this disciple john knox', 'the story has been told by this disciple john knox', 'the story has been told by this disciple john knox']
|
|
[
"daily commuter service on that line connecting aurora and chicago is provided by metra",
"daily commuter service on that line connecting aurora and chicago is provided by metro",
"daily commuter service on that line connecting aurora and chicago is provided by metro",
"daily commuter service on that line connecting aurora and chicago is provided by metra",
"daily commuter service on that line connecting aurora and chicago is provided by metro"
] |
daily commuter service on that line connecting aurora and chicago is provided by metra
|
daily commuter service on that line connecting aurora and chicago is provided by metra.
|
daily commuter service on that line connecting aurora and chicago is provided by metro. daily commuter service on that line connecting aurora and chicago is provided by metro. daily commuter service on that line connecting aurora and chicago is provided by metra. daily commuter service on that line connecting aurora and chicago is provided by metro.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['daily commuter service on that line connecting aurora and chicago is provided by metra', 'daily commuter service on that line connecting aurora and chicago is provided by metro', 'daily commuter service on that line connecting aurora and chicago is provided by metro', 'daily commuter service on that line connecting aurora and chicago is provided by metra', 'daily commuter service on that line connecting aurora and chicago is provided by metro']
|
|
[
"golgotha is short for golgotha a place of jesus crucifixion",
"golgotha is short for golgotha plays of jesus crucifixion",
"golgo is short for golgotha a place of jesus crucifixion",
"golgo is short for golgootha a place of jesus crucifixion",
"golgotha is short for golgotha plays of jesus is crucifixion"
] |
golgo is short for golgotha the place of jesus crucifixion
|
golgotha is short for golgotha a place of jesus crucifixion.
|
golgotha is short for golgotha plays of jesus crucifixion. golgo is short for golgotha a place of jesus crucifixion. golgo is short for golgootha a place of jesus crucifixion. golgotha is short for golgotha plays of jesus is crucifixion.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['golgotha is short for golgotha a place of jesus crucifixion', 'golgotha is short for golgotha plays of jesus crucifixion', 'golgo is short for golgotha a place of jesus crucifixion', 'golgo is short for golgootha a place of jesus crucifixion', 'golgotha is short for golgotha plays of jesus is crucifixion']
|
|
[
"model number information",
"model number information",
"model number information",
"model number information",
"model number information"
] |
model number information
|
model number information.
|
model number information. model number information. model number information. model number information.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['model number information', 'model number information', 'model number information', 'model number information', 'model number information']
|
|
[
"solanas left the party a short while later over personal differences",
"so lana is left the party a short while later over personal differences",
"solanas left the party a short while later over personal differences",
"solanus left the party a short while later over personal differences",
"solana is left the party a short while later over personal differences"
] |
solanas left the party a short while later over personal differences
|
solanas left the party a short while later over personal differences.
|
so lana is left the party a short while later over personal differences. solanas left the party a short while later over personal differences. solanus left the party a short while later over personal differences. solana is left the party a short while later over personal differences.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['solanas left the party a short while later over personal differences', 'so lana is left the party a short while later over personal differences', 'solanas left the party a short while later over personal differences', 'solanus left the party a short while later over personal differences', 'solana is left the party a short while later over personal differences']
|
|
[
"the resulting film was in chronological order",
"the resulting film was in chronologic order",
"the resulting film was in chronology of order",
"the resulting film was in chronological order",
"the resulting film was in chronological order"
] |
the resulting film was in chronological order
|
the resulting film was in chronological order.
|
the resulting film was in chronologic order. the resulting film was in chronology of order. the resulting film was in chronological order. the resulting film was in chronological order.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the resulting film was in chronological order', 'the resulting film was in chronologic order', 'the resulting film was in chronology of order', 'the resulting film was in chronological order', 'the resulting film was in chronological order']
|
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