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
|
|---|---|---|---|---|---|---|---|---|
[
"also buckley began working again with lyricist larry beckett after a three album absence",
"also buckley began working again with lyricist larry beckett after a three album absence",
"also buckley began working again with lyricist larry beckett after a three album absence",
"also buckley began working again with lyricist larry beckett after a three album absence",
"also buckley began working again with lyricist larry beckett after a three album absence"
] |
also buckley began working again with lyricist larry beckett after a three album absence
|
also buckley began working again with lyricist larry beckett after a three album absence.
|
also buckley began working again with lyricist larry beckett after a three album absence. also buckley began working again with lyricist larry beckett after a three album absence. also buckley began working again with lyricist larry beckett after a three album absence. also buckley began working again with lyricist larry beckett after a three album absence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also buckley began working again with lyricist larry beckett after a three album absence', 'also buckley began working again with lyricist larry beckett after a three album absence', 'also buckley began working again with lyricist larry beckett after a three album absence', 'also buckley began working again with lyricist larry beckett after a three album absence', 'also buckley began working again with lyricist larry beckett after a three album absence']
|
|
[
"tits is sponsored a rollercoaster self port called the traumatizer",
"tits is sponsored a rollercoaster self port for the traumatizer",
"tits is sponsored a rollercoaster self port called the traumatiser",
"tits is sponsored a rollercoaster self port for the traumatiser",
"this is sponsored a rollercoaster self port called the traumatizer"
] |
tizer sponsored a roller coaster in southport called the traumatizer
|
tits is sponsored a rollercoaster self port called the traumatizer.
|
tits is sponsored a rollercoaster self port for the traumatizer. tits is sponsored a rollercoaster self port called the traumatiser. tits is sponsored a rollercoaster self port for the traumatiser. this is sponsored a rollercoaster self port called the traumatizer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tits is sponsored a rollercoaster self port called the traumatizer', 'tits is sponsored a rollercoaster self port for the traumatizer', 'tits is sponsored a rollercoaster self port called the traumatiser', 'tits is sponsored a rollercoaster self port for the traumatiser', 'this is sponsored a rollercoaster self port called the traumatizer']
|
|
[
"god is not like anything else",
"god is not like anything else",
"god is not like anything else",
"god is not like anything else",
"god is not like anything else"
] |
god is not like anything else
|
god is not like anything else.
|
god is not like anything else. god is not like anything else. god is not like anything else. god is not like anything else.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['god is not like anything else', 'god is not like anything else', 'god is not like anything else', 'god is not like anything else', 'god is not like anything else']
|
|
[
"fels epigraphic work was not well received in the academy",
"fels epigraphic work was not well received in the academy",
"fels epigraphic work was not well received in the academy",
"fels epigraphic work was not well received in the academy",
"fels epigraphic work was not well received in the academy of arts"
] |
fell is epigraphic work was not well received in academia
|
fels epigraphic work was not well received in the academy.
|
fels epigraphic work was not well received in the academy. fels epigraphic work was not well received in the academy. fels epigraphic work was not well received in the academy. fels epigraphic work was not well received in the academy of arts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fels epigraphic work was not well received in the academy', 'fels epigraphic work was not well received in the academy', 'fels epigraphic work was not well received in the academy', 'fels epigraphic work was not well received in the academy', 'fels epigraphic work was not well received in the academy of arts']
|
|
[
"she was born in south africa but grew up in england",
"she was born in south africa but grew up in england",
"she was born in south africa but grew up in england",
"she was born in south africa but grew up in england",
"she was born in south africa but grew up in england"
] |
she was born in south africa but grew up in england
|
she was born in south africa but grew up in england.
|
she was born in south africa but grew up in england. she was born in south africa but grew up in england. she was born in south africa but grew up in england. she was born in south africa but grew up in england.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she was born in south africa but grew up in england', 'she was born in south africa but grew up in england', 'she was born in south africa but grew up in england', 'she was born in south africa but grew up in england', 'she was born in south africa but grew up in england']
|
|
[
"he partnered and worked closely with the billingham pioneers",
"he partnered and worked closely with the billingham pioneers",
"he partnered and worked closely with the bellingham pioneers",
"he partnered and worked closely with the bellingham pioneers",
"he partnered and worked closely with the billingham pioneers"
] |
he partnered and worked closely with the bellingham pioneers
|
he partnered and worked closely with the billingham pioneers.
|
he partnered and worked closely with the billingham pioneers. he partnered and worked closely with the bellingham pioneers. he partnered and worked closely with the bellingham pioneers. he partnered and worked closely with the billingham pioneers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he partnered and worked closely with the billingham pioneers', 'he partnered and worked closely with the billingham pioneers', 'he partnered and worked closely with the bellingham pioneers', 'he partnered and worked closely with the bellingham pioneers', 'he partnered and worked closely with the billingham pioneers']
|
|
[
"it is undetermined if neither eloise nor abelard has a winning strategy",
"it is undetermined if neither lewis nor abelard has a winning strategy",
"it is undetermined if neither alois nor abelard has a winning strategy",
"it is undetermined if neither lois nor abelard has a winning strategy",
"it is undetermined if neither lewis nor abdelard has a winning strategy"
] |
it is undetermined if neither eloise nor abelard has a winning strategy
|
it is undetermined if neither eloise nor abelard has a winning strategy.
|
it is undetermined if neither lewis nor abelard has a winning strategy. it is undetermined if neither alois nor abelard has a winning strategy. it is undetermined if neither lois nor abelard has a winning strategy. it is undetermined if neither lewis nor abdelard has a winning strategy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is undetermined if neither eloise nor abelard has a winning strategy', 'it is undetermined if neither lewis nor abelard has a winning strategy', 'it is undetermined if neither alois nor abelard has a winning strategy', 'it is undetermined if neither lois nor abelard has a winning strategy', 'it is undetermined if neither lewis nor abdelard has a winning strategy']
|
|
[
"whatever he guessed he locked away in the taboo realm of naomi",
"whatever he cast he locked away in the taboo realm of naomi",
"whatever he guessed he locked away the taboo realm of naomi",
"whatever he guessed he locked me in the taboo realm of naomi",
"whatever he guessed he locked away in the taboo realm of naomi"
] |
whatever he guessed he locked away in the taboo room of naomi
|
whatever he guessed he locked away in the taboo realm of naomi.
|
whatever he cast he locked away in the taboo realm of naomi. whatever he guessed he locked away the taboo realm of naomi. whatever he guessed he locked me in the taboo realm of naomi. whatever he guessed he locked away in the taboo realm of naomi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['whatever he guessed he locked away in the taboo realm of naomi', 'whatever he cast he locked away in the taboo realm of naomi', 'whatever he guessed he locked away the taboo realm of naomi', 'whatever he guessed he locked me in the taboo realm of naomi', 'whatever he guessed he locked away in the taboo realm of naomi']
|
|
[
"the stavara card version was dropped at some point during development",
"the stamina card version was dropped at some point during development",
"the steverer card version was dropped at some point during development",
"the whichever card version was dropped at some point during development",
"the discoverer card version was dropped at some point during development"
] |
the external card version was dropped at some point during development
|
the stavara card version was dropped at some point during development.
|
the stamina card version was dropped at some point during development. the steverer card version was dropped at some point during development. the whichever card version was dropped at some point during development. the discoverer card version was dropped at some point during development.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stavara card version was dropped at some point during development', 'the stamina card version was dropped at some point during development', 'the steverer card version was dropped at some point during development', 'the whichever card version was dropped at some point during development', 'the discoverer card version was dropped at some point during development']
|
|
[
"jan nguyen was forced to intervene for the sake of the journey",
"yan win was forced to intervene for the sake of the journey",
"yan nguyen was forced to intervene for the sake of the journey",
"yan wen was forced to intervene for the sake of the journey",
"jan wynne was forced to intervene for the sake of the journey"
] |
guanyin was forced to intervene for the sake of the journey
|
jan nguyen was forced to intervene for the sake of the journey.
|
yan win was forced to intervene for the sake of the journey. yan nguyen was forced to intervene for the sake of the journey. yan wen was forced to intervene for the sake of the journey. jan wynne was forced to intervene for the sake of the journey.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jan nguyen was forced to intervene for the sake of the journey', 'yan win was forced to intervene for the sake of the journey', 'yan nguyen was forced to intervene for the sake of the journey', 'yan wen was forced to intervene for the sake of the journey', 'jan wynne was forced to intervene for the sake of the journey']
|
|
[
"the play was directed by wesley inarch",
"the play was directed by wesley inouch",
"the play was directed by weasley inarch",
"the player was directed by wesley inarch",
"the play was directed by whizley inarch"
] |
the play was directed by wesley enoch
|
the play was directed by wesley inarch.
|
the play was directed by wesley inouch. the play was directed by weasley inarch. the player was directed by wesley inarch. the play was directed by whizley inarch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the play was directed by wesley inarch', 'the play was directed by wesley inouch', 'the play was directed by weasley inarch', 'the player was directed by wesley inarch', 'the play was directed by whizley inarch']
|
|
[
"he was succeeded by victor fisher",
"he was succeeded by viktor fischer",
"he was succeeded by victor fischer",
"he was succeeded by viktorfischer",
"he was succeeded by viktor fisher"
] |
he was succeeded by victor fisher
|
he was succeeded by victor fisher.
|
he was succeeded by viktor fischer. he was succeeded by victor fischer. he was succeeded by viktorfischer. he was succeeded by viktor fisher.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was succeeded by victor fisher', 'he was succeeded by viktor fischer', 'he was succeeded by victor fischer', 'he was succeeded by viktorfischer', 'he was succeeded by viktor fisher']
|
|
[
"the no tone line is the border of otsivo county",
"the no tone line is the border of utsivo county",
"the no tone line is the border of utsivokondi",
"the no tone line is the border of utsi vokondi",
"the north town line is the border of otsivo county"
] |
the north town line is the border of otsego county
|
the no tone line is the border of otsivo county.
|
the no tone line is the border of utsivo county. the no tone line is the border of utsivokondi. the no tone line is the border of utsi vokondi. the north town line is the border of otsivo county.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the no tone line is the border of otsivo county', 'the no tone line is the border of utsivo county', 'the no tone line is the border of utsivokondi', 'the no tone line is the border of utsi vokondi', 'the north town line is the border of otsivo county']
|
|
[
"his middle name is from another relative george everest",
"his midu name is from another relative george everest",
"his middle name is from another relative george everest",
"his midu name is from another relative george everest",
"his midu name is from another relative george everest"
] |
his middle name is from another relative george everest
|
his middle name is from another relative george everest.
|
his midu name is from another relative george everest. his middle name is from another relative george everest. his midu name is from another relative george everest. his midu name is from another relative george everest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his middle name is from another relative george everest', 'his midu name is from another relative george everest', 'his middle name is from another relative george everest', 'his midu name is from another relative george everest', 'his midu name is from another relative george everest']
|
|
[
"his place was taken by lana kaylin",
"his place was taken by lana kaylen",
"his place was taken by lana kalin",
"his place was taken by lana kalen",
"his place was taken by lana kaelin"
] |
his place was taken by lana kaelin
|
his place was taken by lana kaylin.
|
his place was taken by lana kaylen. his place was taken by lana kalin. his place was taken by lana kalen. his place was taken by lana kaelin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his place was taken by lana kaylin', 'his place was taken by lana kaylen', 'his place was taken by lana kalin', 'his place was taken by lana kalen', 'his place was taken by lana kaelin']
|
|
[
"his family physician sent him to boston children is hospital to see doctor swashman",
"his family physician sent him to boston children is hospital to see doctor s washman",
"his family physician sent him to boston children is hospital to see doctor swashman",
"his family physician sent him to boston children is hospital to see doctor washman",
"this family physician sent him to boston children is hospital to see doctor swashman"
] |
his family physician sent him to boston children is hospital to see a doctor shwachman
|
his family physician sent him to boston children is hospital to see doctor swashman.
|
his family physician sent him to boston children is hospital to see doctor s washman. his family physician sent him to boston children is hospital to see doctor swashman. his family physician sent him to boston children is hospital to see doctor washman. this family physician sent him to boston children is hospital to see doctor swashman.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his family physician sent him to boston children is hospital to see doctor swashman', 'his family physician sent him to boston children is hospital to see doctor s washman', 'his family physician sent him to boston children is hospital to see doctor swashman', 'his family physician sent him to boston children is hospital to see doctor washman', 'this family physician sent him to boston children is hospital to see doctor swashman']
|
|
[
"mercury emissions at the facilities have also dropped significantly as a result of the scrubbers",
"mercury emissions at the facilities have also dropped significantly as a result of the scrubbers",
"mercury emissions at the facilities have also dropped significantly as a result of the scrubbers",
"mercury emissions at the facilities have also dropped significantly as a result of the scrubbers",
"mercury emissions at the facilities have also dropped significantly as a result of the scrubbers"
] |
mercury emissions at the facilities have also dropped significantly as result of the scrubbers
|
mercury emissions at the facilities have also dropped significantly as a result of the scrubbers.
|
mercury emissions at the facilities have also dropped significantly as a result of the scrubbers. mercury emissions at the facilities have also dropped significantly as a result of the scrubbers. mercury emissions at the facilities have also dropped significantly as a result of the scrubbers. mercury emissions at the facilities have also dropped significantly as a result of the scrubbers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mercury emissions at the facilities have also dropped significantly as a result of the scrubbers', 'mercury emissions at the facilities have also dropped significantly as a result of the scrubbers', 'mercury emissions at the facilities have also dropped significantly as a result of the scrubbers', 'mercury emissions at the facilities have also dropped significantly as a result of the scrubbers', 'mercury emissions at the facilities have also dropped significantly as a result of the scrubbers']
|
|
[
"artemis is given various motives",
"artemis is given various motifs",
"artemis has given various motives",
"art and missus given various motives",
"artemis is given various motives"
] |
artemis is given various motives
|
artemis is given various motives.
|
artemis is given various motifs. artemis has given various motives. art and missus given various motives. artemis is given various motives.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['artemis is given various motives', 'artemis is given various motifs', 'artemis has given various motives', 'art and missus given various motives', 'artemis is given various motives']
|
|
[
"other roles include the std is cooperman and cooperov",
"other roles include the stereost cooperman and cobra",
"other roles include the stereost cooperman and cobra",
"other roles include the stereost cooperman and cooperov",
"other rules include the stereost cooperman and cobra"
] |
other roles include the series hooperman and cop rock
|
other roles include the std is cooperman and cooperov.
|
other roles include the stereost cooperman and cobra. other roles include the stereost cooperman and cobra. other roles include the stereost cooperman and cooperov. other rules include the stereost cooperman and cobra.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other roles include the std is cooperman and cooperov', 'other roles include the stereost cooperman and cobra', 'other roles include the stereost cooperman and cobra', 'other roles include the stereost cooperman and cooperov', 'other rules include the stereost cooperman and cobra']
|
|
[
"the lawyer looked down over the handrail",
"the lawyer looked down over the handrail",
"the lawyer looks down over the handrail",
"the lawyer looked down over the henryo",
"the lawyer looked down over the hand rio"
] |
the lawyer looks down over the hand rail
|
the lawyer looked down over the handrail.
|
the lawyer looked down over the handrail. the lawyer looks down over the handrail. the lawyer looked down over the henryo. the lawyer looked down over the hand rio.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the lawyer looked down over the handrail', 'the lawyer looked down over the handrail', 'the lawyer looks down over the handrail', 'the lawyer looked down over the henryo', 'the lawyer looked down over the hand rio']
|
|
[
"it does not differ between gender is nor number",
"it does not differ between genders no number",
"it does not differ between gender is no number",
"it does not differ between genders no number",
"it does not differ between genders nor number"
] |
it does not differ between genders nor number
|
it does not differ between gender is nor number.
|
it does not differ between genders no number. it does not differ between gender is no number. it does not differ between genders no number. it does not differ between genders nor number.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it does not differ between gender is nor number', 'it does not differ between genders no number', 'it does not differ between gender is no number', 'it does not differ between genders no number', 'it does not differ between genders nor number']
|
|
[
"at the end of each level is a different rotten",
"at the end of each level is a different writing",
"at the end of each level is a different rating",
"at the end of each level is a different dragon",
"at the end of each level is a different radden"
] |
at the end of each level is a different dragon
|
at the end of each level is a different rotten.
|
at the end of each level is a different writing. at the end of each level is a different rating. at the end of each level is a different dragon. at the end of each level is a different radden.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the end of each level is a different rotten', 'at the end of each level is a different writing', 'at the end of each level is a different rating', 'at the end of each level is a different dragon', 'at the end of each level is a different radden']
|
|
[
"they cut it out",
"they cut it out",
"they cuddled out",
"they cut it out",
"they cuddled out"
] |
they cut it out
|
they cut it out.
|
they cut it out. they cuddled out. they cut it out. they cuddled out.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they cut it out', 'they cut it out', 'they cuddled out', 'they cut it out', 'they cuddled out']
|
|
[
"images of women with children often decorate shrines to the spirit",
"images of women which children often decorate shrines to the spirit",
"the images of women with children often decorate shrines to the spirit",
"images of women with children often decorates shrines to the spirit",
"images of women which children often decorate shrines to the spirit"
] |
images of women with children often decorate shrines to the spirit
|
images of women with children often decorate shrines to the spirit.
|
images of women which children often decorate shrines to the spirit. the images of women with children often decorate shrines to the spirit. images of women with children often decorates shrines to the spirit. images of women which children often decorate shrines to the spirit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['images of women with children often decorate shrines to the spirit', 'images of women which children often decorate shrines to the spirit', 'the images of women with children often decorate shrines to the spirit', 'images of women with children often decorates shrines to the spirit', 'images of women which children often decorate shrines to the spirit']
|
|
[
"most species are evergreen",
"most species are evergreen",
"most spaces are evergreen",
"most species are evergreen",
"most species are evergreen"
] |
most species are evergreen
|
most species are evergreen.
|
most species are evergreen. most spaces are evergreen. most species are evergreen. most species are evergreen.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most species are evergreen', 'most species are evergreen', 'most spaces are evergreen', 'most species are evergreen', 'most species are evergreen']
|
|
[
"it is provided by units of the federal police",
"it is provided by units of the federal police",
"it is provided by units of the federal police",
"let us provide it by units of the federal police",
"let us provide it by units of the federal police"
] |
it is provided by units of the federal police
|
it is provided by units of the federal police.
|
it is provided by units of the federal police. it is provided by units of the federal police. let us provide it by units of the federal police. let us provide it by units of the federal police.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is provided by units of the federal police', 'it is provided by units of the federal police', 'it is provided by units of the federal police', 'let us provide it by units of the federal police', 'let us provide it by units of the federal police']
|
|
[
"he beat their center learn horse like a drum",
"he beat their center learn horse like a drum",
"he beat the center learn horse like a drum",
"he beat the center learn horse like a drum",
"he beat their center learn horse like a drum but bonne conti"
] |
he beat their center len hauss like a drum wrote buoniconti
|
he beat their center learn horse like a drum.
|
he beat their center learn horse like a drum. he beat the center learn horse like a drum. he beat the center learn horse like a drum. he beat their center learn horse like a drum but bonne conti.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he beat their center learn horse like a drum', 'he beat their center learn horse like a drum', 'he beat the center learn horse like a drum', 'he beat the center learn horse like a drum', 'he beat their center learn horse like a drum but bonne conti']
|
|
[
"italy is noted for its sharp hills and upland areas",
"italy is noted for its sharp hills and upland is",
"italy is noted for its sharp hills and upland hills",
"italy is noted for its sharp hills and a plant is",
"italy is noted for its sharp heels and a planned ass"
] |
italy is noted for its sharp hills and upland areas
|
italy is noted for its sharp hills and upland areas.
|
italy is noted for its sharp hills and upland is. italy is noted for its sharp hills and upland hills. italy is noted for its sharp hills and a plant is. italy is noted for its sharp heels and a planned ass.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['italy is noted for its sharp hills and upland areas', 'italy is noted for its sharp hills and upland is', 'italy is noted for its sharp hills and upland hills', 'italy is noted for its sharp hills and a plant is', 'italy is noted for its sharp heels and a planned ass']
|
|
[
"d pietro has denied wrongdoing",
"d pietro has denied tongue doing",
"deep pietro has denied wrongdoing",
"deep pietro has denied tongue doing",
"d pietro has denied tongue doing"
] |
di pietro has denied wrongdoing
|
d pietro has denied wrongdoing.
|
d pietro has denied tongue doing. deep pietro has denied wrongdoing. deep pietro has denied tongue doing. d pietro has denied tongue doing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['d pietro has denied wrongdoing', 'd pietro has denied tongue doing', 'deep pietro has denied wrongdoing', 'deep pietro has denied tongue doing', 'd pietro has denied tongue doing']
|
|
[
"curls was heavily damaged by typhoon hire",
"curls was heavily damaged by typhoon higher",
"curls was heavily damaged by typhoon hire",
"curls was heavily damaged by typhoon hire",
"curls was heavily damaged by typhoon haiya"
] |
carles was heavily damaged by typhoon haiyan
|
curls was heavily damaged by typhoon hire.
|
curls was heavily damaged by typhoon higher. curls was heavily damaged by typhoon hire. curls was heavily damaged by typhoon hire. curls was heavily damaged by typhoon haiya.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['curls was heavily damaged by typhoon hire', 'curls was heavily damaged by typhoon higher', 'curls was heavily damaged by typhoon hire', 'curls was heavily damaged by typhoon hire', 'curls was heavily damaged by typhoon haiya']
|
|
[
"such distortion may be reduced with subdivision",
"such distortion may be radius with subdivision",
"such distortion may be radios with subdivision",
"such distortion may be reduced with sub dvgen",
"such distortion may be reduced with sub division"
] |
such distortion may be reduced with subdivision
|
such distortion may be reduced with subdivision.
|
such distortion may be radius with subdivision. such distortion may be radios with subdivision. such distortion may be reduced with sub dvgen. such distortion may be reduced with sub division.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['such distortion may be reduced with subdivision', 'such distortion may be radius with subdivision', 'such distortion may be radios with subdivision', 'such distortion may be reduced with sub dvgen', 'such distortion may be reduced with sub division']
|
|
[
"it paved the way for an agreed statement from ken sabari",
"it paved the way for an agreed statement from canterbury",
"it paved the way for an agreed statement from kentaibari",
"it paved the way for an agreed statement from kentobari",
"it paved the way for an agreed statement from kentabari"
] |
it paved the way for an agreed statement from canterbury
|
it paved the way for an agreed statement from ken sabari.
|
it paved the way for an agreed statement from canterbury. it paved the way for an agreed statement from kentaibari. it paved the way for an agreed statement from kentobari. it paved the way for an agreed statement from kentabari.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it paved the way for an agreed statement from ken sabari', 'it paved the way for an agreed statement from canterbury', 'it paved the way for an agreed statement from kentaibari', 'it paved the way for an agreed statement from kentobari', 'it paved the way for an agreed statement from kentabari']
|
|
[
"shortly afterwards he founded the celebrated college of san mateo in that city",
"shortly afterwards he founded the celebrated college of san mateo in that city",
"shortly afterwards he founded the celebrated college of san mateo in that city",
"shortly afterwards he founded the celebrated college of san mateo in that city",
"shortly afterwards he founded the celebrated college of san mateo in that city"
] |
shortly afterwards he founded the celebrated college of san mateo in that city
|
shortly afterwards he founded the celebrated college of san mateo in that city.
|
shortly afterwards he founded the celebrated college of san mateo in that city. shortly afterwards he founded the celebrated college of san mateo in that city. shortly afterwards he founded the celebrated college of san mateo in that city. shortly afterwards he founded the celebrated college of san mateo in that city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shortly afterwards he founded the celebrated college of san mateo in that city', 'shortly afterwards he founded the celebrated college of san mateo in that city', 'shortly afterwards he founded the celebrated college of san mateo in that city', 'shortly afterwards he founded the celebrated college of san mateo in that city', 'shortly afterwards he founded the celebrated college of san mateo in that city']
|
|
[
"they play at their home games at florence civic center",
"they play at their home games at florence civic center",
"they played their home games at florence civic center",
"they play their home games at florence civic center",
"they play at their home games at florian civic center"
] |
they played their home games at florence civic center
|
they play at their home games at florence civic center.
|
they play at their home games at florence civic center. they played their home games at florence civic center. they play their home games at florence civic center. they play at their home games at florian civic center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they play at their home games at florence civic center', 'they play at their home games at florence civic center', 'they played their home games at florence civic center', 'they play their home games at florence civic center', 'they play at their home games at florian civic center']
|
|
[
"it is the only italian professional team with a red and green combination",
"it is the only italian professional team with red and green combination",
"it is the only italian professional team with a red and green combination",
"it is the only italian professional team with red and green combination",
"it is the only italian professional team with red and green combination"
] |
it is the only italian professional team with a red and green combination
|
it is the only italian professional team with a red and green combination.
|
it is the only italian professional team with red and green combination. it is the only italian professional team with a red and green combination. it is the only italian professional team with red and green combination. it is the only italian professional team with red and green combination.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the only italian professional team with a red and green combination', 'it is the only italian professional team with red and green combination', 'it is the only italian professional team with a red and green combination', 'it is the only italian professional team with red and green combination', 'it is the only italian professional team with red and green combination']
|
|
[
"she could denky and other counties were seized from the tibetans",
"shikot denky and other counties were seized from the tibetans",
"she could denky and other counties where she is from the tibetans",
"shikot denki and other counties were seized from the tibetans",
"she could thank you and other counties where she is from the tibetans"
] |
shiqu dengke and other counties were seized from the tibetans
|
she could denky and other counties were seized from the tibetans.
|
shikot denky and other counties were seized from the tibetans. she could denky and other counties where she is from the tibetans. shikot denki and other counties were seized from the tibetans. she could thank you and other counties where she is from the tibetans.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she could denky and other counties were seized from the tibetans', 'shikot denky and other counties were seized from the tibetans', 'she could denky and other counties where she is from the tibetans', 'shikot denki and other counties were seized from the tibetans', 'she could thank you and other counties where she is from the tibetans']
|
|
[
"supporters association and also works as a media trainer and after do no speaker",
"supporters association and also works as a media trainer and after doinist speaker",
"supporters association and also works as a media trainer and after denous speaker",
"supporters association and also works as a media trainer and after do no speaker",
"supporters association and also works as a media trainer and after denous speaker"
] |
supporters association and also works as a media trainer and after dinner speaker
|
supporters association and also works as a media trainer and after do no speaker.
|
supporters association and also works as a media trainer and after doinist speaker. supporters association and also works as a media trainer and after denous speaker. supporters association and also works as a media trainer and after do no speaker. supporters association and also works as a media trainer and after denous speaker.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['supporters association and also works as a media trainer and after do no speaker', 'supporters association and also works as a media trainer and after doinist speaker', 'supporters association and also works as a media trainer and after denous speaker', 'supporters association and also works as a media trainer and after do no speaker', 'supporters association and also works as a media trainer and after denous speaker']
|
|
[
"it is for the album is title piece of introference to the movie",
"it is for the albamy skyle piece of introference to the movie",
"it is for the album is title peace of intreference to the movie",
"it is for the album is title pass of intreference to the movie",
"it is for the album is title path of intreference to the movie"
] |
his fourth album is titled face off in reference to the movie
|
it is for the album is title piece of introference to the movie.
|
it is for the albamy skyle piece of introference to the movie. it is for the album is title peace of intreference to the movie. it is for the album is title pass of intreference to the movie. it is for the album is title path of intreference to the movie.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is for the album is title piece of introference to the movie', 'it is for the albamy skyle piece of introference to the movie', 'it is for the album is title peace of intreference to the movie', 'it is for the album is title pass of intreference to the movie', 'it is for the album is title path of intreference to the movie']
|
|
[
"his sister was the heartbreak hotel songwriter may axton",
"this sister was the heartbreak hotel songwriter may axton",
"his sister was the heartbreak hotel songwriter may axton",
"his sister was the heartbreak hotel songwriter may axton",
"this sister was the heartbreak hotel songwriter may axton"
] |
his sister was the heartbreak hotel songwriter mae axton
|
his sister was the heartbreak hotel songwriter may axton.
|
this sister was the heartbreak hotel songwriter may axton. his sister was the heartbreak hotel songwriter may axton. his sister was the heartbreak hotel songwriter may axton. this sister was the heartbreak hotel songwriter may axton.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his sister was the heartbreak hotel songwriter may axton', 'this sister was the heartbreak hotel songwriter may axton', 'his sister was the heartbreak hotel songwriter may axton', 'his sister was the heartbreak hotel songwriter may axton', 'this sister was the heartbreak hotel songwriter may axton']
|
|
[
"a man of diverse abilities fondleun was characterized as a cameroonian socrates",
"a man of diverse abilities fondleun was characterized as a cameronian socrates",
"a man of diverse abilities fondlone was characterized as a cameroonian socrates",
"a man of diverse abilities fondleun was characterized as a camerunian socrates",
"a man of diverse abilities fondlone was characterized as a cameronian socrates"
] |
a man of diverse abilities fonlon was characterized as the cameroonian socrates
|
a man of diverse abilities fondleun was characterized as a cameroonian socrates.
|
a man of diverse abilities fondleun was characterized as a cameronian socrates. a man of diverse abilities fondlone was characterized as a cameroonian socrates. a man of diverse abilities fondleun was characterized as a camerunian socrates. a man of diverse abilities fondlone was characterized as a cameronian socrates.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man of diverse abilities fondleun was characterized as a cameroonian socrates', 'a man of diverse abilities fondleun was characterized as a cameronian socrates', 'a man of diverse abilities fondlone was characterized as a cameroonian socrates', 'a man of diverse abilities fondleun was characterized as a camerunian socrates', 'a man of diverse abilities fondlone was characterized as a cameronian socrates']
|
|
[
"it is eleven tools skyscraper and a lantern",
"it is eleven tools skyscraper and atlanta",
"it is eleven tools skyscraper at atlanta",
"it is eleven tools skyscraper at atlanta",
"it is eleven tools skyscraper and atlanta"
] |
it is the eleventh tallest skyscraper in atlanta
|
it is eleven tools skyscraper and a lantern.
|
it is eleven tools skyscraper and atlanta. it is eleven tools skyscraper at atlanta. it is eleven tools skyscraper at atlanta. it is eleven tools skyscraper and atlanta.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is eleven tools skyscraper and a lantern', 'it is eleven tools skyscraper and atlanta', 'it is eleven tools skyscraper at atlanta', 'it is eleven tools skyscraper at atlanta', 'it is eleven tools skyscraper and atlanta']
|
|
[
"japanese tools then enter the suburbs of beijing and tianjin after the peritable victory",
"japanese tools then enter the suburbs of beijing and tianjin up at a peritable victory",
"japanese tools then enter the suburbs of beijing and tianjin after the predictable victory",
"japanese tools then enter the suburbs of beijing and tianjin up at the peritable victory",
"japanese tools then enter the suburbs of beijing and tianjin up to the peritable victory"
] |
japanese troops then entered the suburbs of beijing and tianjin after the predictable victory
|
japanese tools then enter the suburbs of beijing and tianjin after the peritable victory.
|
japanese tools then enter the suburbs of beijing and tianjin up at a peritable victory. japanese tools then enter the suburbs of beijing and tianjin after the predictable victory. japanese tools then enter the suburbs of beijing and tianjin up at the peritable victory. japanese tools then enter the suburbs of beijing and tianjin up to the peritable victory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['japanese tools then enter the suburbs of beijing and tianjin after the peritable victory', 'japanese tools then enter the suburbs of beijing and tianjin up at a peritable victory', 'japanese tools then enter the suburbs of beijing and tianjin after the predictable victory', 'japanese tools then enter the suburbs of beijing and tianjin up at the peritable victory', 'japanese tools then enter the suburbs of beijing and tianjin up to the peritable victory']
|
|
[
"although but the movies have special mention of good performance and good story",
"although but the movies have a special mention of good performance and good story",
"although the movies have a special mention of good performance and good story",
"although but the movies have a special mention of good performance and good story",
"although but the movies have a special mention of good performance and good story"
] |
although both the movies have special mention of good performance and good story
|
although but the movies have special mention of good performance and good story.
|
although but the movies have a special mention of good performance and good story. although the movies have a special mention of good performance and good story. although but the movies have a special mention of good performance and good story. although but the movies have a special mention of good performance and good story.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although but the movies have special mention of good performance and good story', 'although but the movies have a special mention of good performance and good story', 'although the movies have a special mention of good performance and good story', 'although but the movies have a special mention of good performance and good story', 'although but the movies have a special mention of good performance and good story']
|
|
[
"a production version of this tank has never been publicly demonstrated",
"a production version of this tank has never been publically demonstrated",
"a production version of this tank has never been publicly demonstrated",
"a production version of this tank has never been publicly demonstrated",
"a production version of this tank has never been publically demonstrated"
] |
a production version of this tank has never been publicly demonstrated
|
a production version of this tank has never been publicly demonstrated.
|
a production version of this tank has never been publically demonstrated. a production version of this tank has never been publicly demonstrated. a production version of this tank has never been publicly demonstrated. a production version of this tank has never been publically demonstrated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a production version of this tank has never been publicly demonstrated', 'a production version of this tank has never been publically demonstrated', 'a production version of this tank has never been publicly demonstrated', 'a production version of this tank has never been publicly demonstrated', 'a production version of this tank has never been publically demonstrated']
|
|
[
"women were admitted as regular members already in the history of the good template",
"women were admitted as regular members already in the history of the good templar",
"women were admitted as regular members early in the history of the good template",
"women were admitted as regular members early in the history of the good templar",
"women were admitted as regular members already in the history of the good jambler"
] |
women were admitted as regular members early in the history of the good templar
|
women were admitted as regular members already in the history of the good template.
|
women were admitted as regular members already in the history of the good templar. women were admitted as regular members early in the history of the good template. women were admitted as regular members early in the history of the good templar. women were admitted as regular members already in the history of the good jambler.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['women were admitted as regular members already in the history of the good template', 'women were admitted as regular members already in the history of the good templar', 'women were admitted as regular members early in the history of the good template', 'women were admitted as regular members early in the history of the good templar', 'women were admitted as regular members already in the history of the good jambler']
|
|
[
"jahwa was named after arafah is mother",
"jahwa was named after arafat is mother",
"jahwah was named after arafah is mother",
"jahuwah was named after arafah is mother",
"jahwa was named after arafa is mother"
] |
zahwa was named after arafat is mother
|
jahwa was named after arafah is mother.
|
jahwa was named after arafat is mother. jahwah was named after arafah is mother. jahuwah was named after arafah is mother. jahwa was named after arafa is mother.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jahwa was named after arafah is mother', 'jahwa was named after arafat is mother', 'jahwah was named after arafah is mother', 'jahuwah was named after arafah is mother', 'jahwa was named after arafa is mother']
|
|
[
"metal paraben is commonly used as a fungicide in joseph the love food media",
"metal paraben is commonly used as a fun design in joseph the love food media",
"metal paraben is commonly used as a thunderstorm for the love food media",
"bethel paraben is commonly used as a thunderstorm for the love food media",
"metal paraben is commonly used as a pharmaceutical love food media"
] |
methylparaben is commonly used as a fungicide in drosophila food media
|
metal paraben is commonly used as a fungicide in joseph the love food media.
|
metal paraben is commonly used as a fun design in joseph the love food media. metal paraben is commonly used as a thunderstorm for the love food media. bethel paraben is commonly used as a thunderstorm for the love food media. metal paraben is commonly used as a pharmaceutical love food media.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['metal paraben is commonly used as a fungicide in joseph the love food media', 'metal paraben is commonly used as a fun design in joseph the love food media', 'metal paraben is commonly used as a thunderstorm for the love food media', 'bethel paraben is commonly used as a thunderstorm for the love food media', 'metal paraben is commonly used as a pharmaceutical love food media']
|
|
[
"it was recorded at metropolis audio in melbourne",
"he was recorded at metropolis audio in melbourne",
"it was recorded at matropolis audio in melbourne",
"it was recorded at metropolis audio in melbourne",
"he was recorded at metropolis audio in melbourne"
] |
it was recorded at metropolis audio in melbourne
|
it was recorded at metropolis audio in melbourne.
|
he was recorded at metropolis audio in melbourne. it was recorded at matropolis audio in melbourne. it was recorded at metropolis audio in melbourne. he was recorded at metropolis audio in melbourne.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was recorded at metropolis audio in melbourne', 'he was recorded at metropolis audio in melbourne', 'it was recorded at matropolis audio in melbourne', 'it was recorded at metropolis audio in melbourne', 'he was recorded at metropolis audio in melbourne']
|
|
[
"at dehradun he worked as a head clerk at the forest research institute",
"at dharadun he worked as a head clerk at the forest research institute",
"at dharadun he worked as a head clerk at the forest research institute",
"at dehradun he worked as a head clerk at the forest research institute",
"at dehradun he worked as a head clerk at the forest state search institute"
] |
at dehradun he worked as a head clerk at the forest research institute
|
at dehradun he worked as a head clerk at the forest research institute.
|
at dharadun he worked as a head clerk at the forest research institute. at dharadun he worked as a head clerk at the forest research institute. at dehradun he worked as a head clerk at the forest research institute. at dehradun he worked as a head clerk at the forest state search institute.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at dehradun he worked as a head clerk at the forest research institute', 'at dharadun he worked as a head clerk at the forest research institute', 'at dharadun he worked as a head clerk at the forest research institute', 'at dehradun he worked as a head clerk at the forest research institute', 'at dehradun he worked as a head clerk at the forest state search institute']
|
|
[
"cohen is married to lin cohen and has five children",
"coen is married to lin coen and has five children",
"cowan is married to lin cowan and has five children",
"cowan is married to ling cowan and has five children",
"koen is married to lin koen and has five children"
] |
cohen is married to lynn cohen and has five children
|
cohen is married to lin cohen and has five children.
|
coen is married to lin coen and has five children. cowan is married to lin cowan and has five children. cowan is married to ling cowan and has five children. koen is married to lin koen and has five children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cohen is married to lin cohen and has five children', 'coen is married to lin coen and has five children', 'cowan is married to lin cowan and has five children', 'cowan is married to ling cowan and has five children', 'koen is married to lin koen and has five children']
|
|
[
"four kids one wearing a red shirt and three wearing yellow roll a blade through a square",
"for kids one wearing a red shirt and three wearing yellow roll a blade through a square",
"forkids one wearing a red shirt and three wearing yellow roll a blade through a square",
"four kids one wearing a red shirt and three wearing yellow roll a blade through a square",
"four kids one wearing a red shirt and three wearing yellow roll a blade through a square"
] |
four kids one wearing a red shirt and three wearing yellow rollerblade through a square
|
four kids one wearing a red shirt and three wearing yellow roll a blade through a square.
|
for kids one wearing a red shirt and three wearing yellow roll a blade through a square. forkids one wearing a red shirt and three wearing yellow roll a blade through a square. four kids one wearing a red shirt and three wearing yellow roll a blade through a square. four kids one wearing a red shirt and three wearing yellow roll a blade through a square.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['four kids one wearing a red shirt and three wearing yellow roll a blade through a square', 'for kids one wearing a red shirt and three wearing yellow roll a blade through a square', 'forkids one wearing a red shirt and three wearing yellow roll a blade through a square', 'four kids one wearing a red shirt and three wearing yellow roll a blade through a square', 'four kids one wearing a red shirt and three wearing yellow roll a blade through a square']
|
|
[
"some examples are the sudapet palace complex and the mia warren palace complex",
"some examples are the sedapet palace complex and the mere were not palace complex",
"some examples are the sedapet palace complex and the mia warren palace complex",
"some examples are the stadapet palace complex and the mia warren palace complex",
"some examples are the sedapet palace complex and the mia warren palace complex"
] |
some examples are the sa dabad palace complex and the niavaran palace complex
|
some examples are the sudapet palace complex and the mia warren palace complex.
|
some examples are the sedapet palace complex and the mere were not palace complex. some examples are the sedapet palace complex and the mia warren palace complex. some examples are the stadapet palace complex and the mia warren palace complex. some examples are the sedapet palace complex and the mia warren palace complex.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some examples are the sudapet palace complex and the mia warren palace complex', 'some examples are the sedapet palace complex and the mere were not palace complex', 'some examples are the sedapet palace complex and the mia warren palace complex', 'some examples are the stadapet palace complex and the mia warren palace complex', 'some examples are the sedapet palace complex and the mia warren palace complex']
|
|
[
"sai denini was born in florence point ontario near cornwall",
"sai dhanini was born in florence point ontario near cornwall",
"si deniny was born in florence point ontario near cornwall",
"sai denenni was born in florence point ontario near cornwall",
"sai deniny was born in florence point ontario near cornwall"
] |
cy denneny was born in farran is point ontario near cornwall
|
sai denini was born in florence point ontario near cornwall.
|
sai dhanini was born in florence point ontario near cornwall. si deniny was born in florence point ontario near cornwall. sai denenni was born in florence point ontario near cornwall. sai deniny was born in florence point ontario near cornwall.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sai denini was born in florence point ontario near cornwall', 'sai dhanini was born in florence point ontario near cornwall', 'si deniny was born in florence point ontario near cornwall', 'sai denenni was born in florence point ontario near cornwall', 'sai deniny was born in florence point ontario near cornwall']
|
|
[
"they are biggest hit followed",
"their biggest hit followed",
"they are biggest hair followed",
"they are biggest hair followed",
"the biggest hit followed"
] |
their biggest hit followed
|
they are biggest hit followed.
|
their biggest hit followed. they are biggest hair followed. they are biggest hair followed. the biggest hit followed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they are biggest hit followed', 'their biggest hit followed', 'they are biggest hair followed', 'they are biggest hair followed', 'the biggest hit followed']
|
|
[
"she felt that modern society had blunted children",
"she felt that modern society had blundered children",
"she felt that modern society had blunted children",
"she felt that modern society had blunted children",
"she felt that modern society had blundered children"
] |
she felt that modern society had blunted children
|
she felt that modern society had blunted children.
|
she felt that modern society had blundered children. she felt that modern society had blunted children. she felt that modern society had blunted children. she felt that modern society had blundered children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she felt that modern society had blunted children', 'she felt that modern society had blundered children', 'she felt that modern society had blunted children', 'she felt that modern society had blunted children', 'she felt that modern society had blundered children']
|
|
[
"he has also published a comic book with sleazy cartoons of bill clinton",
"he has also published a comment book with sleazy cartoons of bill clinton",
"he has also published a comic book with the sleazy cartoons of bill clinton",
"he has also published a comic book with sleazy cartoons of bill clinton",
"he has also published a comic book with sleazy cartoons of bill clinton"
] |
he has also published a comic book the sleazy cartoons of bill plympton
|
he has also published a comic book with sleazy cartoons of bill clinton.
|
he has also published a comment book with sleazy cartoons of bill clinton. he has also published a comic book with the sleazy cartoons of bill clinton. he has also published a comic book with sleazy cartoons of bill clinton. he has also published a comic book with sleazy cartoons of bill clinton.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has also published a comic book with sleazy cartoons of bill clinton', 'he has also published a comment book with sleazy cartoons of bill clinton', 'he has also published a comic book with the sleazy cartoons of bill clinton', 'he has also published a comic book with sleazy cartoons of bill clinton', 'he has also published a comic book with sleazy cartoons of bill clinton']
|
|
[
"shagreened at this treatment ferguson was soon in correspondence with the xr jacobites",
"shagreened at this treatment ferguson was soon in correspondence with the exile jacobites",
"shagreened at this treatment ferguson was soon in correspondence with the exiled jacob eitz",
"shagreened at this treatment ferguson was soon in correspondence with the exiled jacob arts",
"shagreened at this treatment ferguson was soon in correspondence with the exiled jacob itz"
] |
chagrined at this treatment ferguson was soon in correspondence with the exiled jacobites
|
shagreened at this treatment ferguson was soon in correspondence with the xr jacobites.
|
shagreened at this treatment ferguson was soon in correspondence with the exile jacobites. shagreened at this treatment ferguson was soon in correspondence with the exiled jacob eitz. shagreened at this treatment ferguson was soon in correspondence with the exiled jacob arts. shagreened at this treatment ferguson was soon in correspondence with the exiled jacob itz.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shagreened at this treatment ferguson was soon in correspondence with the xr jacobites', 'shagreened at this treatment ferguson was soon in correspondence with the exile jacobites', 'shagreened at this treatment ferguson was soon in correspondence with the exiled jacob eitz', 'shagreened at this treatment ferguson was soon in correspondence with the exiled jacob arts', 'shagreened at this treatment ferguson was soon in correspondence with the exiled jacob itz']
|
|
[
"they fortify the city but soon the cigars come",
"they fortify the city but soon the cigars come",
"they fortified the city but soon the cigars come",
"they fortify the city but soon the cigars come",
"they fortify the city but soon the cigars come"
] |
they fortify the city but soon the tugars come
|
they fortify the city but soon the cigars come.
|
they fortify the city but soon the cigars come. they fortified the city but soon the cigars come. they fortify the city but soon the cigars come. they fortify the city but soon the cigars come.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they fortify the city but soon the cigars come', 'they fortify the city but soon the cigars come', 'they fortified the city but soon the cigars come', 'they fortify the city but soon the cigars come', 'they fortify the city but soon the cigars come']
|
|
[
"there are also two pubs to ram in and they are wagon and horses",
"there are also two pubs that ram in and they are wagon and horses",
"there are also two pubs to ram in and their wagon then horses",
"there are also two pubs to ram in and the wagon then horses",
"there are also two pubs to ram in and they are wagon then horses"
] |
there are also two pubs the ram inn and the wagon and horses
|
there are also two pubs to ram in and they are wagon and horses.
|
there are also two pubs that ram in and they are wagon and horses. there are also two pubs to ram in and their wagon then horses. there are also two pubs to ram in and the wagon then horses. there are also two pubs to ram in and they are wagon then horses.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are also two pubs to ram in and they are wagon and horses', 'there are also two pubs that ram in and they are wagon and horses', 'there are also two pubs to ram in and their wagon then horses', 'there are also two pubs to ram in and the wagon then horses', 'there are also two pubs to ram in and they are wagon then horses']
|
|
[
"it is rockboard and stone lined",
"it is rock board and stone lined",
"it is rockboard and stone lined",
"it is rockboard and stone lined",
"it is rockboard and stone lined"
] |
it is rock bored and stone lined
|
it is rockboard and stone lined.
|
it is rock board and stone lined. it is rockboard and stone lined. it is rockboard and stone lined. it is rockboard and stone lined.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is rockboard and stone lined', 'it is rock board and stone lined', 'it is rockboard and stone lined', 'it is rockboard and stone lined', 'it is rockboard and stone lined']
|
|
[
"may i ask a question",
"me i ask a question",
"me and i ask a question",
"me i asked a question",
"me i ask a question"
] |
may i ask a question
|
may i ask a question.
|
me i ask a question. me and i ask a question. me i asked a question. me i ask a question.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['may i ask a question', 'me i ask a question', 'me and i ask a question', 'me i asked a question', 'me i ask a question']
|
|
[
"the earliest form of the horseman is bur aimed at the hill with a single prick",
"the earliest form of the horseman is burr aimed at the hill with a single prick",
"the earliest form of the horseman is bur and that the hill with a single prick",
"the earliest form of the horsemen is burr aimed at the hill with a single prick",
"the earliest form of the horseman is bird aimed at the hill with a single prick"
] |
the earliest form of the horseman is spur armed the heel with a single prick
|
the earliest form of the horseman is bur aimed at the hill with a single prick.
|
the earliest form of the horseman is burr aimed at the hill with a single prick. the earliest form of the horseman is bur and that the hill with a single prick. the earliest form of the horsemen is burr aimed at the hill with a single prick. the earliest form of the horseman is bird aimed at the hill with a single prick.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the earliest form of the horseman is bur aimed at the hill with a single prick', 'the earliest form of the horseman is burr aimed at the hill with a single prick', 'the earliest form of the horseman is bur and that the hill with a single prick', 'the earliest form of the horsemen is burr aimed at the hill with a single prick', 'the earliest form of the horseman is bird aimed at the hill with a single prick']
|
|
[
"in many ways smarter child was a precursor to apple siri and sam sansa is voice",
"in many ways smarter child was a precursor to apple ciri and sam sansa is voice",
"in many ways smarter child was a precursor to apple siri and sam sanzas voice",
"in many ways smarter child was a precursor to apple siri and sam sonsa is voice",
"in many ways smarter child was a precursor to apple siri and sam sanza is voice"
] |
in many ways smarterchild was a precursor to apple is siri and samsung is s voice
|
in many ways smarter child was a precursor to apple siri and sam sansa is voice.
|
in many ways smarter child was a precursor to apple ciri and sam sansa is voice. in many ways smarter child was a precursor to apple siri and sam sanzas voice. in many ways smarter child was a precursor to apple siri and sam sonsa is voice. in many ways smarter child was a precursor to apple siri and sam sanza is voice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in many ways smarter child was a precursor to apple siri and sam sansa is voice', 'in many ways smarter child was a precursor to apple ciri and sam sansa is voice', 'in many ways smarter child was a precursor to apple siri and sam sanzas voice', 'in many ways smarter child was a precursor to apple siri and sam sonsa is voice', 'in many ways smarter child was a precursor to apple siri and sam sanza is voice']
|
|
[
"he claims that his musical inspiration is taken from life itself",
"he claims that his musical inspiration is taken from life itself",
"he claims that his musical inspiration is taken from life itself",
"he claims that his musical inspiration is taken from life itself",
"he claims that his musical inspiration is taken from life itself"
] |
he claims that his musical inspiration is taken from life itself
|
he claims that his musical inspiration is taken from life itself.
|
he claims that his musical inspiration is taken from life itself. he claims that his musical inspiration is taken from life itself. he claims that his musical inspiration is taken from life itself. he claims that his musical inspiration is taken from life itself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he claims that his musical inspiration is taken from life itself', 'he claims that his musical inspiration is taken from life itself', 'he claims that his musical inspiration is taken from life itself', 'he claims that his musical inspiration is taken from life itself', 'he claims that his musical inspiration is taken from life itself']
|
|
[
"alternative visitors can obtain self guided door broaches at the symmetry of his",
"alternative visitors can obtain self guided door broachers at the symmetry of his",
"alternately visitors can obtain self guided door broaches at the symmetry of his",
"alternative visitors can obtain self guided door brochures at the symmetry of his",
"alternatively visitors can obtain self guided door broaches at the symmetry of his"
] |
alternatively visitors can obtain self guided tour brochures at the cemetery office
|
alternative visitors can obtain self guided door broaches at the symmetry of his.
|
alternative visitors can obtain self guided door broachers at the symmetry of his. alternately visitors can obtain self guided door broaches at the symmetry of his. alternative visitors can obtain self guided door brochures at the symmetry of his. alternatively visitors can obtain self guided door broaches at the symmetry of his.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['alternative visitors can obtain self guided door broaches at the symmetry of his', 'alternative visitors can obtain self guided door broachers at the symmetry of his', 'alternately visitors can obtain self guided door broaches at the symmetry of his', 'alternative visitors can obtain self guided door brochures at the symmetry of his', 'alternatively visitors can obtain self guided door broaches at the symmetry of his']
|
|
[
"but i never owned it before her",
"but i never owned it before her",
"but i never owned to it before her",
"but i have never owned it before her",
"but i never owned it before her"
] |
but i never own to it before her
|
but i never owned it before her.
|
but i never owned it before her. but i never owned to it before her. but i have never owned it before her. but i never owned it before her.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but i never owned it before her', 'but i never owned it before her', 'but i never owned to it before her', 'but i have never owned it before her', 'but i never owned it before her']
|
|
[
"it stars johnny gray colin potter and peter callaghan",
"it stars johnny gray colin potter and peter callaghan",
"it stars johnny gray colin potter and peter callaghan",
"it stars johnny gray colin potter and peter callaghan",
"it stars johnny gray cullen potter and peter callaghan"
] |
it stars jonny gray callan potter and peter keleghan
|
it stars johnny gray colin potter and peter callaghan.
|
it stars johnny gray colin potter and peter callaghan. it stars johnny gray colin potter and peter callaghan. it stars johnny gray colin potter and peter callaghan. it stars johnny gray cullen potter and peter callaghan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it stars johnny gray colin potter and peter callaghan', 'it stars johnny gray colin potter and peter callaghan', 'it stars johnny gray colin potter and peter callaghan', 'it stars johnny gray colin potter and peter callaghan', 'it stars johnny gray cullen potter and peter callaghan']
|
|
[
"the vehicle was sold in japan as lotus exceded stealth",
"the vehicle was sold in japan as lotus exceed stealth",
"the vehicle was sold in japan as lotus exceed stealth",
"the vehicle was sold in japan as lotus exceded stealth",
"the vehicle was sold in japan as lotus xc stealth"
] |
the vehicle was sold in japan as lotus exige stealth
|
the vehicle was sold in japan as lotus exceded stealth.
|
the vehicle was sold in japan as lotus exceed stealth. the vehicle was sold in japan as lotus exceed stealth. the vehicle was sold in japan as lotus exceded stealth. the vehicle was sold in japan as lotus xc stealth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the vehicle was sold in japan as lotus exceded stealth', 'the vehicle was sold in japan as lotus exceed stealth', 'the vehicle was sold in japan as lotus exceed stealth', 'the vehicle was sold in japan as lotus exceded stealth', 'the vehicle was sold in japan as lotus xc stealth']
|
|
[
"as a result the authors decided to extend it and tidy it up",
"as a result the authors decided to extend it in tidy it up",
"as a result the author decided to extend it and tidy it up",
"as a result the author decided to extend it in tidy it up",
"as a result the authors decided to extend it in tidy it up"
] |
as a result the authors decided to extend it and tidy it up
|
as a result the authors decided to extend it and tidy it up.
|
as a result the authors decided to extend it in tidy it up. as a result the author decided to extend it and tidy it up. as a result the author decided to extend it in tidy it up. as a result the authors decided to extend it in tidy it up.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as a result the authors decided to extend it and tidy it up', 'as a result the authors decided to extend it in tidy it up', 'as a result the author decided to extend it and tidy it up', 'as a result the author decided to extend it in tidy it up', 'as a result the authors decided to extend it in tidy it up']
|
|
[
"he received a bachelor of arts and bachelor of nose from dill museum city",
"he received a bachelor of art and bachelor of nose from dill museum city",
"he received a bachelor of art and bachelor of nose from del hussinger city",
"he received a bachelor of arts and bachelor of nose from dell museum city",
"he received a bachelor of art and bachelor of nose from dell museum city"
] |
he received a bachelor of arts and bachelor of laws from dalhousie university
|
he received a bachelor of arts and bachelor of nose from dill museum city.
|
he received a bachelor of art and bachelor of nose from dill museum city. he received a bachelor of art and bachelor of nose from del hussinger city. he received a bachelor of arts and bachelor of nose from dell museum city. he received a bachelor of art and bachelor of nose from dell museum city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he received a bachelor of arts and bachelor of nose from dill museum city', 'he received a bachelor of art and bachelor of nose from dill museum city', 'he received a bachelor of art and bachelor of nose from del hussinger city', 'he received a bachelor of arts and bachelor of nose from dell museum city', 'he received a bachelor of art and bachelor of nose from dell museum city']
|
|
[
"and there has sent one competitor to the olympic games in shooting",
"and there has sent one competitor to the olympic games in shooting",
"and there are sent one competitor to the olympic games in shooting",
"and there are sent one competitor to the olympic games in shooting",
"and the recent one incorporated to the olympic games in shooting"
] |
andorra sent one competitor to the olympic games in shooting
|
and there has sent one competitor to the olympic games in shooting.
|
and there has sent one competitor to the olympic games in shooting. and there are sent one competitor to the olympic games in shooting. and there are sent one competitor to the olympic games in shooting. and the recent one incorporated to the olympic games in shooting.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and there has sent one competitor to the olympic games in shooting', 'and there has sent one competitor to the olympic games in shooting', 'and there are sent one competitor to the olympic games in shooting', 'and there are sent one competitor to the olympic games in shooting', 'and the recent one incorporated to the olympic games in shooting']
|
|
[
"sean riley therefore solves patents fiancee leaving him in intensive care",
"sean riley therefore solves patents fiancee leaving him in intensive care",
"sean riley therefore solves patents fiance leaving him in intensive care",
"sean riley therefore solves patents fiancee leaving him in intensive care",
"sean riley therefore solves patents fiancee leaving him in intensive care"
] |
sean riley therefore assaults peyton is fiance leaving him in intensive care
|
sean riley therefore solves patents fiancee leaving him in intensive care.
|
sean riley therefore solves patents fiancee leaving him in intensive care. sean riley therefore solves patents fiance leaving him in intensive care. sean riley therefore solves patents fiancee leaving him in intensive care. sean riley therefore solves patents fiancee leaving him in intensive care.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sean riley therefore solves patents fiancee leaving him in intensive care', 'sean riley therefore solves patents fiancee leaving him in intensive care', 'sean riley therefore solves patents fiance leaving him in intensive care', 'sean riley therefore solves patents fiancee leaving him in intensive care', 'sean riley therefore solves patents fiancee leaving him in intensive care']
|
|
[
"it was followed by she is so young and hard to laugh",
"it was followed by she is so young and hard to laugh",
"it was followed by she is so young and hard to laugh",
"it was followed by she is so young and hard to laugh",
"it was followed by she so young and hard to laugh"
] |
it was followed by she is so young and hard to laugh
|
it was followed by she is so young and hard to laugh.
|
it was followed by she is so young and hard to laugh. it was followed by she is so young and hard to laugh. it was followed by she is so young and hard to laugh. it was followed by she so young and hard to laugh.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was followed by she is so young and hard to laugh', 'it was followed by she is so young and hard to laugh', 'it was followed by she is so young and hard to laugh', 'it was followed by she is so young and hard to laugh', 'it was followed by she so young and hard to laugh']
|
|
[
"his brothers included albert a painter and leon also a notable architect",
"his brothers included albert a painter and leon also a notable architect",
"his brothers included albert a painter and leon also a notable architect",
"his brothers included albert a painter and leon also a notable architect",
"his brother is included albert a painter and leon also a notable architect"
] |
his brothers included albert a painter and leon also a notable architect
|
his brothers included albert a painter and leon also a notable architect.
|
his brothers included albert a painter and leon also a notable architect. his brothers included albert a painter and leon also a notable architect. his brothers included albert a painter and leon also a notable architect. his brother is included albert a painter and leon also a notable architect.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his brothers included albert a painter and leon also a notable architect', 'his brothers included albert a painter and leon also a notable architect', 'his brothers included albert a painter and leon also a notable architect', 'his brothers included albert a painter and leon also a notable architect', 'his brother is included albert a painter and leon also a notable architect']
|
|
[
"it was named after the city of bad amps germany where it was promulgated",
"it was named after the city of bad amps germany where it was promulgated",
"it was named after the city of bad amps germany where it was promulgated",
"it was named after the city of bad amps germany where it was promulgated",
"it was named after the city of bad amps germany where it was promulgated"
] |
it was named after the city of bad ems germany where it was promulgated
|
it was named after the city of bad amps germany where it was promulgated.
|
it was named after the city of bad amps germany where it was promulgated. it was named after the city of bad amps germany where it was promulgated. it was named after the city of bad amps germany where it was promulgated. it was named after the city of bad amps germany where it was promulgated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was named after the city of bad amps germany where it was promulgated', 'it was named after the city of bad amps germany where it was promulgated', 'it was named after the city of bad amps germany where it was promulgated', 'it was named after the city of bad amps germany where it was promulgated', 'it was named after the city of bad amps germany where it was promulgated']
|
|
[
"it features live recordings alongside studio remixes of songs from all of words",
"it features live recordings alongside studio remixes of songs from all the fours",
"it features live recordings alongside studio remixes of songs from all fours",
"it features live recordings alongside studio remixes of songs from war of wars",
"it features live recordings alongside studio remixes of songs from all over the world"
] |
it features live recordings alongside studio remixes of songs from war of words
|
it features live recordings alongside studio remixes of songs from all of words.
|
it features live recordings alongside studio remixes of songs from all the fours. it features live recordings alongside studio remixes of songs from all fours. it features live recordings alongside studio remixes of songs from war of wars. it features live recordings alongside studio remixes of songs from all over the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it features live recordings alongside studio remixes of songs from all of words', 'it features live recordings alongside studio remixes of songs from all the fours', 'it features live recordings alongside studio remixes of songs from all fours', 'it features live recordings alongside studio remixes of songs from war of wars', 'it features live recordings alongside studio remixes of songs from all over the world']
|
|
[
"the name is shortened for the sake of brevity",
"the name is shortened for the sake of brevity",
"the name is shortened for the sake of brevity",
"the name is shortened for the sake of brevity",
"the name is shortened for the sake of brevity"
] |
the name is shortened for the sake of brevity
|
the name is shortened for the sake of brevity.
|
the name is shortened for the sake of brevity. the name is shortened for the sake of brevity. the name is shortened for the sake of brevity. the name is shortened for the sake of brevity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the name is shortened for the sake of brevity', 'the name is shortened for the sake of brevity', 'the name is shortened for the sake of brevity', 'the name is shortened for the sake of brevity', 'the name is shortened for the sake of brevity']
|
|
[
"this brought to an abrupt end a very popular aspect of the game",
"this brought to an abrupt end a very popular aspect of the game",
"this brought to an abrupt end a very popular aspect of the game",
"this brought to an abrupt end a very popular aspect of the game",
"this brought to an abrupt end a very popular aspect of the game"
] |
this brought to an abrupt end a very popular aspect of the game
|
this brought to an abrupt end a very popular aspect of the game.
|
this brought to an abrupt end a very popular aspect of the game. this brought to an abrupt end a very popular aspect of the game. this brought to an abrupt end a very popular aspect of the game. this brought to an abrupt end a very popular aspect of the game.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this brought to an abrupt end a very popular aspect of the game', 'this brought to an abrupt end a very popular aspect of the game', 'this brought to an abrupt end a very popular aspect of the game', 'this brought to an abrupt end a very popular aspect of the game', 'this brought to an abrupt end a very popular aspect of the game']
|
|
[
"there are many interesting buildings in the finish",
"there are many interesting buildings in the parish",
"there are many interesting buildings in the fair issue",
"there are many interesting buildings in the far east",
"there are many interesting buildings in the faris"
] |
there are many interesting buildings in the parish
|
there are many interesting buildings in the finish.
|
there are many interesting buildings in the parish. there are many interesting buildings in the fair issue. there are many interesting buildings in the far east. there are many interesting buildings in the faris.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are many interesting buildings in the finish', 'there are many interesting buildings in the parish', 'there are many interesting buildings in the fair issue', 'there are many interesting buildings in the far east', 'there are many interesting buildings in the faris']
|
|
[
"there is a relatively small population most of which live along the coast",
"there is a relatively small population most of which live along the coast",
"there is a relatively small population most of which live long the curse",
"there is a relatively small population most of which live along the curse",
"there is a relatively small population most of which live long in the curse"
] |
there is a relatively small population most of which live along the coast
|
there is a relatively small population most of which live along the coast.
|
there is a relatively small population most of which live along the coast. there is a relatively small population most of which live long the curse. there is a relatively small population most of which live along the curse. there is a relatively small population most of which live long in the curse.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is a relatively small population most of which live along the coast', 'there is a relatively small population most of which live along the coast', 'there is a relatively small population most of which live long the curse', 'there is a relatively small population most of which live along the curse', 'there is a relatively small population most of which live long in the curse']
|
|
[
"a good wire may also have a library nursery in the classroom",
"a good while i may also have a library nursery in the classroom",
"a good while i may also have a library nursery in the classroom",
"a good while i may also have a library nursery in the classroom",
"a good wire may also have a library nursery in the classroom"
] |
a gurdwara may also have a library nursery and classroom
|
a good wire may also have a library nursery in the classroom.
|
a good while i may also have a library nursery in the classroom. a good while i may also have a library nursery in the classroom. a good while i may also have a library nursery in the classroom. a good wire may also have a library nursery in the classroom.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a good wire may also have a library nursery in the classroom', 'a good while i may also have a library nursery in the classroom', 'a good while i may also have a library nursery in the classroom', 'a good while i may also have a library nursery in the classroom', 'a good wire may also have a library nursery in the classroom']
|
|
[
"four ramps connected by a subway queue step three access between all the platforms",
"four ramps connected by a subway queue step three access between all the platforms",
"four ramps connected by a somewhere huge step free access between all the platforms",
"four ramps connected by a subway queue step three axis between all the platforms",
"four ramps connected by the subway queue step three access between all the platforms"
] |
four ramps connected by a subway give step free access between all the platforms
|
four ramps connected by a subway queue step three access between all the platforms.
|
four ramps connected by a subway queue step three access between all the platforms. four ramps connected by a somewhere huge step free access between all the platforms. four ramps connected by a subway queue step three axis between all the platforms. four ramps connected by the subway queue step three access between all the platforms.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['four ramps connected by a subway queue step three access between all the platforms', 'four ramps connected by a subway queue step three access between all the platforms', 'four ramps connected by a somewhere huge step free access between all the platforms', 'four ramps connected by a subway queue step three axis between all the platforms', 'four ramps connected by the subway queue step three access between all the platforms']
|
|
[
"later he began making surfboards and ran a surf shop",
"later he began making surfboards and ran a surf shop",
"later he began making surfboards and ran a surf shop",
"later he began making surfboards and ran a surf shop",
"later he began making surfboards and ran a surf shop"
] |
later he began making surfboards and ran a surf shop
|
later he began making surfboards and ran a surf shop.
|
later he began making surfboards and ran a surf shop. later he began making surfboards and ran a surf shop. later he began making surfboards and ran a surf shop. later he began making surfboards and ran a surf shop.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['later he began making surfboards and ran a surf shop', 'later he began making surfboards and ran a surf shop', 'later he began making surfboards and ran a surf shop', 'later he began making surfboards and ran a surf shop', 'later he began making surfboards and ran a surf shop']
|
|
[
"the station road car from studio set lies yesterday is sky london",
"the station road car from studio set lies sister is square in london",
"the station road car from studio set lies just as sky london",
"the station road car from studio set lies next to sky london",
"the station road car from studio set lies just as it is going london"
] |
the station broadcasts from studios at leicester square in london
|
the station road car from studio set lies yesterday is sky london.
|
the station road car from studio set lies sister is square in london. the station road car from studio set lies just as sky london. the station road car from studio set lies next to sky london. the station road car from studio set lies just as it is going london.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the station road car from studio set lies yesterday is sky london', 'the station road car from studio set lies sister is square in london', 'the station road car from studio set lies just as sky london', 'the station road car from studio set lies next to sky london', 'the station road car from studio set lies just as it is going london']
|
|
[
"after leaving office fern was appointed city jailer by sheriff charles rose",
"after leaving office fern was appointed city jailer by sheriff charles rose",
"after leaving office fern was appointed city jailor by sheriff charles rose",
"after leaving office fern was appointed city jailer by sheriff charles rose",
"after leaving office fern was appointed city jailer by sheriff charles rose"
] |
after leaving office fern was appointed city jailer by sheriff charles rose
|
after leaving office fern was appointed city jailer by sheriff charles rose.
|
after leaving office fern was appointed city jailer by sheriff charles rose. after leaving office fern was appointed city jailor by sheriff charles rose. after leaving office fern was appointed city jailer by sheriff charles rose. after leaving office fern was appointed city jailer by sheriff charles rose.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after leaving office fern was appointed city jailer by sheriff charles rose', 'after leaving office fern was appointed city jailer by sheriff charles rose', 'after leaving office fern was appointed city jailor by sheriff charles rose', 'after leaving office fern was appointed city jailer by sheriff charles rose', 'after leaving office fern was appointed city jailer by sheriff charles rose']
|
|
[
"higility is greater than that of an olympic gold medalist",
"agility is greater than that of an olympic gold medalist",
"hydility is greater than that of an olympic gold medalist",
"the agility is greater than that of an olympic gold medalist",
"hajility is greater than that of an olympic gold medalist"
] |
her agility is greater than that of an olympic gold medalist
|
higility is greater than that of an olympic gold medalist.
|
agility is greater than that of an olympic gold medalist. hydility is greater than that of an olympic gold medalist. the agility is greater than that of an olympic gold medalist. hajility is greater than that of an olympic gold medalist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['higility is greater than that of an olympic gold medalist', 'agility is greater than that of an olympic gold medalist', 'hydility is greater than that of an olympic gold medalist', 'the agility is greater than that of an olympic gold medalist', 'hajility is greater than that of an olympic gold medalist']
|
|
[
"the stations are located in the center of the roadway",
"the stations are located in the center of the roadway",
"the stations are located in the center of the roadway",
"the stations are located in the center of the roadway",
"the stations are located in the center of the roadway"
] |
the stations are located in the center of the roadway
|
the stations are located in the center of the roadway.
|
the stations are located in the center of the roadway. the stations are located in the center of the roadway. the stations are located in the center of the roadway. the stations are located in the center of the roadway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stations are located in the center of the roadway', 'the stations are located in the center of the roadway', 'the stations are located in the center of the roadway', 'the stations are located in the center of the roadway', 'the stations are located in the center of the roadway']
|
|
[
"she spoke with a cool foreign accent",
"she is both with a cool foreign accent",
"she is both with a cool foreign accent",
"she spoke with a cool foreign accent",
"she spoke with a cool foreign accent"
] |
she spoke with a cool foreign accent
|
she spoke with a cool foreign accent.
|
she is both with a cool foreign accent. she is both with a cool foreign accent. she spoke with a cool foreign accent. she spoke with a cool foreign accent.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she spoke with a cool foreign accent', 'she is both with a cool foreign accent', 'she is both with a cool foreign accent', 'she spoke with a cool foreign accent', 'she spoke with a cool foreign accent']
|
|
[
"it is a theme book",
"it is a theme park",
"it is a theme block",
"it is a theme book",
"it is a theme park"
] |
it is a theme park
|
it is a theme book.
|
it is a theme park. it is a theme block. it is a theme book. it is a theme park.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a theme book', 'it is a theme park', 'it is a theme block', 'it is a theme book', 'it is a theme park']
|
|
[
"who organizes the competition",
"who organizes the competition",
"who organizes the competition",
"who organizes the competition",
"who organizes the competition"
] |
who organizes the competition
|
who organizes the competition.
|
who organizes the competition. who organizes the competition. who organizes the competition. who organizes the competition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['who organizes the competition', 'who organizes the competition', 'who organizes the competition', 'who organizes the competition', 'who organizes the competition']
|
|
[
"only epsilon org has a longer period among eclipsing binaries",
"only epsilon rig has a longer period among eclipsing binaries",
"only epsilon rg has a longer period among eclipsing binaries",
"only epsilon rg has a longer pdf among eclipsing binaries",
"only epsilon oregon has a longer period among eclipsing binaries"
] |
only epsilon aurigae has a longer period among eclipsing binaries
|
only epsilon org has a longer period among eclipsing binaries.
|
only epsilon rig has a longer period among eclipsing binaries. only epsilon rg has a longer period among eclipsing binaries. only epsilon rg has a longer pdf among eclipsing binaries. only epsilon oregon has a longer period among eclipsing binaries.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['only epsilon org has a longer period among eclipsing binaries', 'only epsilon rig has a longer period among eclipsing binaries', 'only epsilon rg has a longer period among eclipsing binaries', 'only epsilon rg has a longer pdf among eclipsing binaries', 'only epsilon oregon has a longer period among eclipsing binaries']
|
|
[
"melee was adopted",
"meli was adopted",
"melio was adopted",
"melie was adopted",
"mally was adopted"
] |
miley was adopted
|
melee was adopted.
|
meli was adopted. melio was adopted. melie was adopted. mally was adopted.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['melee was adopted', 'meli was adopted', 'melio was adopted', 'melie was adopted', 'mally was adopted']
|
|
[
"at the age of eight lentini is family moved to the united states",
"at the age of eight lentini is family moved to the united states",
"at the age of eight lantini is family moved to the united states",
"at the age of eight lantini is family moved to the united states",
"at the age of eight latinis family moved to the united states"
] |
at the age of eight lentini is family moved to the united states
|
at the age of eight lentini is family moved to the united states.
|
at the age of eight lentini is family moved to the united states. at the age of eight lantini is family moved to the united states. at the age of eight lantini is family moved to the united states. at the age of eight latinis family moved to the united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the age of eight lentini is family moved to the united states', 'at the age of eight lentini is family moved to the united states', 'at the age of eight lantini is family moved to the united states', 'at the age of eight lantini is family moved to the united states', 'at the age of eight latinis family moved to the united states']
|
|
[
"historically municipal bonds have been one of the least liquid assessed on the market",
"historically municipal bonds have been one of the least liquid assessed on the market",
"historically municipal bonds have been one of the least liquid assets on the market",
"historically municipal bonds have been one of the least liquid assessed on the market",
"historically municipal bonds have been one of the least liquid assessed on the market"
] |
historically municipal bonds have been one of the least liquid assets on the market
|
historically municipal bonds have been one of the least liquid assessed on the market.
|
historically municipal bonds have been one of the least liquid assessed on the market. historically municipal bonds have been one of the least liquid assets on the market. historically municipal bonds have been one of the least liquid assessed on the market. historically municipal bonds have been one of the least liquid assessed on the market.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['historically municipal bonds have been one of the least liquid assessed on the market', 'historically municipal bonds have been one of the least liquid assessed on the market', 'historically municipal bonds have been one of the least liquid assets on the market', 'historically municipal bonds have been one of the least liquid assessed on the market', 'historically municipal bonds have been one of the least liquid assessed on the market']
|
|
[
"it also influenced radio and television programming",
"it also influenced a radio and television programming",
"it also influenced radio and television programming",
"it also influenced radio and television programing",
"it also influenced radio and television programing"
] |
it also influenced radio and television programming
|
it also influenced radio and television programming.
|
it also influenced a radio and television programming. it also influenced radio and television programming. it also influenced radio and television programing. it also influenced radio and television programing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also influenced radio and television programming', 'it also influenced a radio and television programming', 'it also influenced radio and television programming', 'it also influenced radio and television programing', 'it also influenced radio and television programing']
|
|
[
"the founder of logo therapy victor finkel may have well exemplified this definition",
"the founder of logo therapy victor finkel may have well exemplified this definition",
"the founder of logo therapy victor finkel may have well exemplified this definition",
"the founder of logo therapy victor fengal may have well exemplified this definition",
"the founder of logo therapy victor frankl may have well exemplified this definition"
] |
the founder of logotherapy viktor frankl may have well exemplified this definition
|
the founder of logo therapy victor finkel may have well exemplified this definition.
|
the founder of logo therapy victor finkel may have well exemplified this definition. the founder of logo therapy victor finkel may have well exemplified this definition. the founder of logo therapy victor fengal may have well exemplified this definition. the founder of logo therapy victor frankl may have well exemplified this definition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the founder of logo therapy victor finkel may have well exemplified this definition', 'the founder of logo therapy victor finkel may have well exemplified this definition', 'the founder of logo therapy victor finkel may have well exemplified this definition', 'the founder of logo therapy victor fengal may have well exemplified this definition', 'the founder of logo therapy victor frankl may have well exemplified this definition']
|
|
[
"during his first two seasons euler was a backup shortstop to dick mcolliff",
"during his first two seasons euler was a backup shortstop to dick mccolliffe",
"during his first two seasons euler was a backup shortstop to dick mcolliffe",
"during his first two seasons euler was a backup shortstop to dick mcollif",
"during his first two seasons euler was a backup shortstop to dick mcalliff"
] |
during his first two seasons oyler was a backup shortstop to dick mcauliffe
|
during his first two seasons euler was a backup shortstop to dick mcolliff.
|
during his first two seasons euler was a backup shortstop to dick mccolliffe. during his first two seasons euler was a backup shortstop to dick mcolliffe. during his first two seasons euler was a backup shortstop to dick mcollif. during his first two seasons euler was a backup shortstop to dick mcalliff.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during his first two seasons euler was a backup shortstop to dick mcolliff', 'during his first two seasons euler was a backup shortstop to dick mccolliffe', 'during his first two seasons euler was a backup shortstop to dick mcolliffe', 'during his first two seasons euler was a backup shortstop to dick mcollif', 'during his first two seasons euler was a backup shortstop to dick mcalliff']
|
|
[
"he dominated both the opera and concert platform for over thirty years",
"he dominated both the opera and concert platform for over thirty years",
"he dominated both the opera and concert platform for over thirty years",
"he dominated both the opera and concert platform for over thirty years",
"he dominated both the opera concert platform for over thirty years"
] |
he dominated both the opera and concert platform for over thirty years
|
he dominated both the opera and concert platform for over thirty years.
|
he dominated both the opera and concert platform for over thirty years. he dominated both the opera and concert platform for over thirty years. he dominated both the opera and concert platform for over thirty years. he dominated both the opera concert platform for over thirty years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he dominated both the opera and concert platform for over thirty years', 'he dominated both the opera and concert platform for over thirty years', 'he dominated both the opera and concert platform for over thirty years', 'he dominated both the opera and concert platform for over thirty years', 'he dominated both the opera concert platform for over thirty years']
|
|
[
"soon after he moved to sheffield wednesday and spent two years there as manager",
"soon after he moved to sheffield one day and spent two years there as manager",
"soon after he moved to sheffield wednesday and spent two years there as manager",
"soon after he moved to sheffield wednesday and spent two years there as manager",
"soon after he moved to sheffield wednesday and spent two years there as manager"
] |
soon after he moved to sheffield wednesday and spent two years there as manager
|
soon after he moved to sheffield wednesday and spent two years there as manager.
|
soon after he moved to sheffield one day and spent two years there as manager. soon after he moved to sheffield wednesday and spent two years there as manager. soon after he moved to sheffield wednesday and spent two years there as manager. soon after he moved to sheffield wednesday and spent two years there as manager.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['soon after he moved to sheffield wednesday and spent two years there as manager', 'soon after he moved to sheffield one day and spent two years there as manager', 'soon after he moved to sheffield wednesday and spent two years there as manager', 'soon after he moved to sheffield wednesday and spent two years there as manager', 'soon after he moved to sheffield wednesday and spent two years there as manager']
|
|
[
"from the beginning the addling faced criticism",
"from the beginning the addling faced criticism",
"from the beginning the adaling faced criticism",
"from the beginning the addling faced criticism",
"from the beginning the addling faced criticism"
] |
from the beginning the airline faced criticism
|
from the beginning the addling faced criticism.
|
from the beginning the addling faced criticism. from the beginning the adaling faced criticism. from the beginning the addling faced criticism. from the beginning the addling faced criticism.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['from the beginning the addling faced criticism', 'from the beginning the addling faced criticism', 'from the beginning the adaling faced criticism', 'from the beginning the addling faced criticism', 'from the beginning the addling faced criticism']
|
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