hypothesis
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stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
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stringclasses 1
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[
"it featured a digital instrument cluster and an on board computer",
"it featured a digital instrument cluster and an onboard computer",
"it featured a digital instrument cluster and an on board computer",
"it featured a digital instrument cluster and an on board computer",
"it featured a digital instrument cluster and an on board computer"
] | it featured a digital instrument cluster and an onboard computer | it featured a digital instrument cluster and an on board computer. | it featured a digital instrument cluster and an onboard computer. it featured a digital instrument cluster and an on board computer. it featured a digital instrument cluster and an on board computer. it featured a digital instrument cluster and an on board computer. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it featured a digital instrument cluster and an on board computer', 'it featured a digital instrument cluster and an onboard computer', 'it featured a digital instrument cluster and an on board computer', 'it featured a digital instrument cluster and an on board computer', 'it featured a digital instrument cluster and an on board computer'] |
|
[
"the source was sold as a going concerned bell canada enterprises",
"the source was sold as a going concern to bell canada enterprises",
"the source was sold as a going concern to bell canada enterprises",
"the source was sold as a going concerned bell candidate enterprises",
"the source was sold as a going concerned bell canada enterprises"
] | the source was sold as a going concern to bell canada enterprises | the source was sold as a going concerned bell canada enterprises. | the source was sold as a going concern to bell canada enterprises. the source was sold as a going concern to bell canada enterprises. the source was sold as a going concerned bell candidate enterprises. the source was sold as a going concerned bell canada enterprises. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the source was sold as a going concerned bell canada enterprises', 'the source was sold as a going concern to bell canada enterprises', 'the source was sold as a going concern to bell canada enterprises', 'the source was sold as a going concerned bell candidate enterprises', 'the source was sold as a going concerned bell canada enterprises'] |
|
[
"cable is ultimate fate remained unknown",
"cavers ultimate fate remained unknown",
"cable is ultimate fate remains unknown",
"cambridge is ultimate fate remained unknown",
"caver is ultimate fate remained unknown"
] | cavor is ultimate fate remained unknown | cable is ultimate fate remained unknown. | cavers ultimate fate remained unknown. cable is ultimate fate remains unknown. cambridge is ultimate fate remained unknown. caver is ultimate fate remained unknown. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cable is ultimate fate remained unknown', 'cavers ultimate fate remained unknown', 'cable is ultimate fate remains unknown', 'cambridge is ultimate fate remained unknown', 'caver is ultimate fate remained unknown'] |
|
[
"golden was born in brooklyn new york city new york",
"golden was born in brooklyn new york city new york",
"golden was born in brooklyn new york city new york",
"golden was born in brooklyn new york city new york",
"golden was born in brooklyn new york city new york"
] | golden was born in brooklyn new york city new york | golden was born in brooklyn new york city new york. | golden was born in brooklyn new york city new york. golden was born in brooklyn new york city new york. golden was born in brooklyn new york city new york. golden was born in brooklyn new york city new york. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['golden was born in brooklyn new york city new york', 'golden was born in brooklyn new york city new york', 'golden was born in brooklyn new york city new york', 'golden was born in brooklyn new york city new york', 'golden was born in brooklyn new york city new york'] |
|
[
"therefore prince albert is portrait was eased instead",
"therefore prince albert is portrait was eased in state",
"therefore prince albert is portrait was eased instead",
"therefore prince albert is portrait was eased in state",
"therefore prince albert is portrait was easing state"
] | therefore prince albert is portrait was used instead | therefore prince albert is portrait was eased instead. | therefore prince albert is portrait was eased in state. therefore prince albert is portrait was eased instead. therefore prince albert is portrait was eased in state. therefore prince albert is portrait was easing state. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['therefore prince albert is portrait was eased instead', 'therefore prince albert is portrait was eased in state', 'therefore prince albert is portrait was eased instead', 'therefore prince albert is portrait was eased in state', 'therefore prince albert is portrait was easing state'] |
|
[
"now i am dea was born rex of all montague paul in guyana",
"now i am dea was born rex orville montague paul in guyana",
"namdi was born rex of all montague paul in guyana",
"now i am dealing with borne rex of all montague paul in guyana",
"now i am due as born rex of all montague paul in guyana"
] | nnamdi was born rex orville montague paul in guyana | now i am dea was born rex of all montague paul in guyana. | now i am dea was born rex orville montague paul in guyana. namdi was born rex of all montague paul in guyana. now i am dealing with borne rex of all montague paul in guyana. now i am due as born rex of all montague paul in guyana. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['now i am dea was born rex of all montague paul in guyana', 'now i am dea was born rex orville montague paul in guyana', 'namdi was born rex of all montague paul in guyana', 'now i am dealing with borne rex of all montague paul in guyana', 'now i am due as born rex of all montague paul in guyana'] |
|
[
"the aircraft was new and the crew was experienced",
"the aircraft was new and the crew was experienced",
"the aircraft was new and a crew was experienced",
"the aircraft was new and a crew was experienced",
"the aircraft was new and the crew was experienced"
] | the aircraft was new and the crew was experienced | the aircraft was new and the crew was experienced. | the aircraft was new and the crew was experienced. the aircraft was new and a crew was experienced. the aircraft was new and a crew was experienced. the aircraft was new and the crew was experienced. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the aircraft was new and the crew was experienced', 'the aircraft was new and the crew was experienced', 'the aircraft was new and a crew was experienced', 'the aircraft was new and a crew was experienced', 'the aircraft was new and the crew was experienced'] |
|
[
"however the witches was banned by some libraries due to perceived misogyny",
"however the witches was banned by some librarians due to perceived misogyny",
"however the witches was banned by some library due to perceived misogyny",
"however the witches was banned by some libraries due to perceived misogyny",
"however the witches was banned by some library due to perceived misogyny"
] | however the witches was banned by some libraries due to perceived misogyny | however the witches was banned by some libraries due to perceived misogyny. | however the witches was banned by some librarians due to perceived misogyny. however the witches was banned by some library due to perceived misogyny. however the witches was banned by some libraries due to perceived misogyny. however the witches was banned by some library due to perceived misogyny. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the witches was banned by some libraries due to perceived misogyny', 'however the witches was banned by some librarians due to perceived misogyny', 'however the witches was banned by some library due to perceived misogyny', 'however the witches was banned by some libraries due to perceived misogyny', 'however the witches was banned by some library due to perceived misogyny'] |
|
[
"it turns the space from the county of dallas",
"it turns the space from the county of dallas",
"it turns the space from the county of dallas",
"it trains the space from the county of dallas",
"it turns the space from the county of dalas"
] | it rents the space from the county of dallas | it turns the space from the county of dallas. | it turns the space from the county of dallas. it turns the space from the county of dallas. it trains the space from the county of dallas. it turns the space from the county of dalas. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it turns the space from the county of dallas', 'it turns the space from the county of dallas', 'it turns the space from the county of dallas', 'it trains the space from the county of dallas', 'it turns the space from the county of dalas'] |
|
[
"the village falls in the sea vern electoral ward",
"the village falls in the seavern electoral ward",
"the village falls in the sea run electoral ward",
"the village falls in the siewen electoral ward",
"the village falls in the cone electoral ward"
] | the village falls in the severn electoral ward | the village falls in the sea vern electoral ward. | the village falls in the seavern electoral ward. the village falls in the sea run electoral ward. the village falls in the siewen electoral ward. the village falls in the cone electoral ward. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the village falls in the sea vern electoral ward', 'the village falls in the seavern electoral ward', 'the village falls in the sea run electoral ward', 'the village falls in the siewen electoral ward', 'the village falls in the cone electoral ward'] |
|
[
"their media calls was the very first railway strike which lasted only two days",
"their media calls was the very first railway strike which lasted only two days",
"the immediate cause was the very first railway strike which lasted only two days",
"the immediate cause was the very first railway strike which lasted only two days",
"their media calls was the very first real life strike which lasted only two days"
] | their immediate cause was the very first railway strike which lasted only two days | their media calls was the very first railway strike which lasted only two days. | their media calls was the very first railway strike which lasted only two days. the immediate cause was the very first railway strike which lasted only two days. the immediate cause was the very first railway strike which lasted only two days. their media calls was the very first real life strike which lasted only two days. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['their media calls was the very first railway strike which lasted only two days', 'their media calls was the very first railway strike which lasted only two days', 'the immediate cause was the very first railway strike which lasted only two days', 'the immediate cause was the very first railway strike which lasted only two days', 'their media calls was the very first real life strike which lasted only two days'] |
|
[
"she visited japan in november but soon returned to chinese waters",
"she visited japan in november but soon returned to chinese waters",
"she visited japan in november but soon returned to chinese waters",
"she visited japan in november but soon returned to chinese waters",
"she visited japan in november but soon returned to chinese waters"
] | she visited japan in november but soon returned to chinese waters | she visited japan in november but soon returned to chinese waters. | she visited japan in november but soon returned to chinese waters. she visited japan in november but soon returned to chinese waters. she visited japan in november but soon returned to chinese waters. she visited japan in november but soon returned to chinese waters. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she visited japan in november but soon returned to chinese waters', 'she visited japan in november but soon returned to chinese waters', 'she visited japan in november but soon returned to chinese waters', 'she visited japan in november but soon returned to chinese waters', 'she visited japan in november but soon returned to chinese waters'] |
|
[
"the student cooperative council on cooperated is the student government of the lockhaven university",
"the student cooperative council on corporated is the student government of the lockhaven university",
"the student co operative council on co operated is the student government of the lockhaven university",
"the student co operative council on co operated is the student government of the lock haven university",
"the student cooperative council on corporated is the student government of the lockhaven university"
] | the student cooperative council incorporated is the student government of lock haven university | the student cooperative council on cooperated is the student government of the lockhaven university. | the student cooperative council on corporated is the student government of the lockhaven university. the student co operative council on co operated is the student government of the lockhaven university. the student co operative council on co operated is the student government of the lock haven university. the student cooperative council on corporated is the student government of the lockhaven university. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the student cooperative council on cooperated is the student government of the lockhaven university', 'the student cooperative council on corporated is the student government of the lockhaven university', 'the student co operative council on co operated is the student government of the lockhaven university', 'the student co operative council on co operated is the student government of the lock haven university', 'the student cooperative council on corporated is the student government of the lockhaven university'] |
|
[
"so for example suggesting that another member is lying is forbidden",
"so for example suggesting that another member is lying is forbidden",
"so for example suggesting that another member is lying is forbidden",
"so for example suggesting that another member is lying is forbidden",
"so for example suggesting that another member is lying is forbidden"
] | so for example suggesting that another member is lying is forbidden | so for example suggesting that another member is lying is forbidden. | so for example suggesting that another member is lying is forbidden. so for example suggesting that another member is lying is forbidden. so for example suggesting that another member is lying is forbidden. so for example suggesting that another member is lying is forbidden. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so for example suggesting that another member is lying is forbidden', 'so for example suggesting that another member is lying is forbidden', 'so for example suggesting that another member is lying is forbidden', 'so for example suggesting that another member is lying is forbidden', 'so for example suggesting that another member is lying is forbidden'] |
|
[
"the new work of light rail is completely contained within the country",
"the new work of lightwell is completely contained within the country",
"the new work of light rail is completely contained within the pantry",
"a new work of light rail is completely contained within the country",
"the new work on light rail is completely contained within the country"
] | the newark light rail is completely contained within the county | the new work of light rail is completely contained within the country. | the new work of lightwell is completely contained within the country. the new work of light rail is completely contained within the pantry. a new work of light rail is completely contained within the country. the new work on light rail is completely contained within the country. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the new work of light rail is completely contained within the country', 'the new work of lightwell is completely contained within the country', 'the new work of light rail is completely contained within the pantry', 'a new work of light rail is completely contained within the country', 'the new work on light rail is completely contained within the country'] |
|
[
"not if i can help it",
"not if i can help it",
"not if i can help it",
"not if i can help it",
"not if i can help it"
] | not if i can help it | not if i can help it. | not if i can help it. not if i can help it. not if i can help it. not if i can help it. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['not if i can help it', 'not if i can help it', 'not if i can help it', 'not if i can help it', 'not if i can help it'] |
|
[
"so long as they are good",
"so long as they are good",
"so long as they are good",
"so long as they are good",
"so long as there are good"
] | so long as they are good | so long as they are good. | so long as they are good. so long as they are good. so long as they are good. so long as there are good. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so long as they are good', 'so long as they are good', 'so long as they are good', 'so long as they are good', 'so long as there are good'] |
|
[
"master attended hollywood high school at oxygen college los angeles",
"master attended hollywood high school at the oxygen college los angeles",
"mars selected hollywood high school at oxygen college los angeles",
"master attended hollywood high school at oxford college los angeles",
"mars selected hollywood high school at the oxygen college los angeles"
] | marcel attended hollywood high school then occidental college los angeles | master attended hollywood high school at oxygen college los angeles. | master attended hollywood high school at the oxygen college los angeles. mars selected hollywood high school at oxygen college los angeles. master attended hollywood high school at oxford college los angeles. mars selected hollywood high school at the oxygen college los angeles. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['master attended hollywood high school at oxygen college los angeles', 'master attended hollywood high school at the oxygen college los angeles', 'mars selected hollywood high school at oxygen college los angeles', 'master attended hollywood high school at oxford college los angeles', 'mars selected hollywood high school at the oxygen college los angeles'] |
|
[
"when disturbed it makes a rumbling ground and then attack the ground more loudly",
"when disturbed it makes a rumbling ground and when attacked grouse more loudly",
"when disturbed it makes a rungling ground and then attack grouse more loudly",
"when disturbed it makes a roundling ground and when attacked the ground is more roundly",
"when disturbed it makes a rumbling brown and when attacked browns more loudly"
] | when disturbed it makes a rumbling growl and when attacked growls more loudly | when disturbed it makes a rumbling ground and then attack the ground more loudly. | when disturbed it makes a rumbling ground and when attacked grouse more loudly. when disturbed it makes a rungling ground and then attack grouse more loudly. when disturbed it makes a roundling ground and when attacked the ground is more roundly. when disturbed it makes a rumbling brown and when attacked browns more loudly. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when disturbed it makes a rumbling ground and then attack the ground more loudly', 'when disturbed it makes a rumbling ground and when attacked grouse more loudly', 'when disturbed it makes a rungling ground and then attack grouse more loudly', 'when disturbed it makes a roundling ground and when attacked the ground is more roundly', 'when disturbed it makes a rumbling brown and when attacked browns more loudly'] |
|
[
"lynn was born in county cork ireland",
"lin was born in county cork ireland",
"lynn was born in county cork ireland",
"lane was born in county cork ireland",
"lynne was born in county cork ireland"
] | lane was born in county cork ireland | lynn was born in county cork ireland. | lin was born in county cork ireland. lynn was born in county cork ireland. lane was born in county cork ireland. lynne was born in county cork ireland. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lynn was born in county cork ireland', 'lin was born in county cork ireland', 'lynn was born in county cork ireland', 'lane was born in county cork ireland', 'lynne was born in county cork ireland'] |
|
[
"in this way it clarified the separation of powers doctrine in australia",
"in this way it clarified the separation of powers doctrine in australia",
"in this way it clarified the separation of powers doctrine in australia",
"in this way it clarified the separation of powers doctrine in australia",
"in this way it clarified the separation of powers doctrine in australia"
] | in this way it clarified the separation of powers doctrine in australia | in this way it clarified the separation of powers doctrine in australia. | in this way it clarified the separation of powers doctrine in australia. in this way it clarified the separation of powers doctrine in australia. in this way it clarified the separation of powers doctrine in australia. in this way it clarified the separation of powers doctrine in australia. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this way it clarified the separation of powers doctrine in australia', 'in this way it clarified the separation of powers doctrine in australia', 'in this way it clarified the separation of powers doctrine in australia', 'in this way it clarified the separation of powers doctrine in australia', 'in this way it clarified the separation of powers doctrine in australia'] |
|
[
"the body section is divided into five body houses",
"the body section is divided into five body houses",
"the body section is divided into five boarding houses",
"the body section is divided into five boarding houses",
"the body section is divided into five board in houses"
] | the boarding section is divided into five boarding houses | the body section is divided into five body houses. | the body section is divided into five body houses. the body section is divided into five boarding houses. the body section is divided into five boarding houses. the body section is divided into five board in houses. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the body section is divided into five body houses', 'the body section is divided into five body houses', 'the body section is divided into five boarding houses', 'the body section is divided into five boarding houses', 'the body section is divided into five board in houses'] |
|
[
"even at the time reports recorded chit pawani as a fast disappearing language",
"even at the time reports recorded chit pawani as a fast disappearing language",
"even at the time reports recorded chit pawani as a fast disappearing language",
"even at the time reports recorded chit pawani as a fast disappearing language",
"even at the time reports recorded chit pavani as a fast disappearing language"
] | even at that time reports recorded chitpavani as a fast disappearing language | even at the time reports recorded chit pawani as a fast disappearing language. | even at the time reports recorded chit pawani as a fast disappearing language. even at the time reports recorded chit pawani as a fast disappearing language. even at the time reports recorded chit pawani as a fast disappearing language. even at the time reports recorded chit pavani as a fast disappearing language. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['even at the time reports recorded chit pawani as a fast disappearing language', 'even at the time reports recorded chit pawani as a fast disappearing language', 'even at the time reports recorded chit pawani as a fast disappearing language', 'even at the time reports recorded chit pawani as a fast disappearing language', 'even at the time reports recorded chit pavani as a fast disappearing language'] |
|
[
"nashville is located in the northwestern portion of the central basin",
"nashville is located in the northwestern portion of the central basin",
"national is located in the northwestern portion of the central basin",
"nashville is located in the northwestern portion of the central basin",
"national is located in the northwestern portion of the central basin"
] | nashville is located in the northwestern portion of the central basin | nashville is located in the northwestern portion of the central basin. | nashville is located in the northwestern portion of the central basin. national is located in the northwestern portion of the central basin. nashville is located in the northwestern portion of the central basin. national is located in the northwestern portion of the central basin. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nashville is located in the northwestern portion of the central basin', 'nashville is located in the northwestern portion of the central basin', 'national is located in the northwestern portion of the central basin', 'nashville is located in the northwestern portion of the central basin', 'national is located in the northwestern portion of the central basin'] |
|
[
"a cyclist pedaling his bike up a dirt road near a body of water",
"a cyclist peddling his bike up a dirt road near a body of water",
"a cyclist pedaling his bike up a dirt road near a body of water",
"a cyclist pettling his bike up a dirt road near a body of water",
"a cyclist peddling his bike up a dirt road near a body of water"
] | a cyclist pedaling his bike up a dirt road near a body of water | a cyclist pedaling his bike up a dirt road near a body of water. | a cyclist peddling his bike up a dirt road near a body of water. a cyclist pedaling his bike up a dirt road near a body of water. a cyclist pettling his bike up a dirt road near a body of water. a cyclist peddling his bike up a dirt road near a body of water. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a cyclist pedaling his bike up a dirt road near a body of water', 'a cyclist peddling his bike up a dirt road near a body of water', 'a cyclist pedaling his bike up a dirt road near a body of water', 'a cyclist pettling his bike up a dirt road near a body of water', 'a cyclist peddling his bike up a dirt road near a body of water'] |
|
[
"sultana at least threerds and by sixth december thank you muhammad was groomed for succession",
"sultan ali is third son by sixth december thank you muhammad was groomed for succession",
"sultana leased threerds and by sixth december thank you muhammad was groomed for succession",
"sultan ali is third son by sixth december thank you mahmoud was groomed for succession",
"sultana at least thirds and by sixth december thank you muhammad was groomed for succession"
] | sultan ali is third son by cik sembuk tengku mahmud was groomed for succession | sultana at least threerds and by sixth december thank you muhammad was groomed for succession. | sultan ali is third son by sixth december thank you muhammad was groomed for succession. sultana leased threerds and by sixth december thank you muhammad was groomed for succession. sultan ali is third son by sixth december thank you mahmoud was groomed for succession. sultana at least thirds and by sixth december thank you muhammad was groomed for succession. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sultana at least threerds and by sixth december thank you muhammad was groomed for succession', 'sultan ali is third son by sixth december thank you muhammad was groomed for succession', 'sultana leased threerds and by sixth december thank you muhammad was groomed for succession', 'sultan ali is third son by sixth december thank you mahmoud was groomed for succession', 'sultana at least thirds and by sixth december thank you muhammad was groomed for succession'] |
|
[
"there are two passages in that report which i should like to read",
"there are two passengers in that report which i should like to read",
"there are two passages in that report which i should like to read",
"there are two passengers in that report which i should like to read",
"there are two passages in that report which i should like to read"
] | there are two passages in that report which i should like to read | there are two passages in that report which i should like to read. | there are two passengers in that report which i should like to read. there are two passages in that report which i should like to read. there are two passengers in that report which i should like to read. there are two passages in that report which i should like to read. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are two passages in that report which i should like to read', 'there are two passengers in that report which i should like to read', 'there are two passages in that report which i should like to read', 'there are two passengers in that report which i should like to read', 'there are two passages in that report which i should like to read'] |
|
[
"they were eventually joined by hundreds of other asylum seekers under australia is pacific solution",
"they were eventually joined by hundreds of other asylum seekers under australia is pacific solution",
"they were eventually joined by hundreds of other asylum seekers under australia is pacific solution",
"they were eventually joined by hundreds of other asylum seekers under australia is pacific solution",
"they were eventually joined by hundreds of other asylum seekers under australia is specific solution"
] | they were eventually joined by hundreds of other asylum seekers under australia is pacific solution | they were eventually joined by hundreds of other asylum seekers under australia is pacific solution. | they were eventually joined by hundreds of other asylum seekers under australia is pacific solution. they were eventually joined by hundreds of other asylum seekers under australia is pacific solution. they were eventually joined by hundreds of other asylum seekers under australia is pacific solution. they were eventually joined by hundreds of other asylum seekers under australia is specific solution. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they were eventually joined by hundreds of other asylum seekers under australia is pacific solution', 'they were eventually joined by hundreds of other asylum seekers under australia is pacific solution', 'they were eventually joined by hundreds of other asylum seekers under australia is pacific solution', 'they were eventually joined by hundreds of other asylum seekers under australia is pacific solution', 'they were eventually joined by hundreds of other asylum seekers under australia is specific solution'] |
|
[
"four differences shift deferred",
"for differences shift deferred",
"four differences shift deferred",
"four differences shift deferred",
"for differences shift deferred"
] | for differences shift defer | four differences shift deferred. | for differences shift deferred. four differences shift deferred. four differences shift deferred. for differences shift deferred. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['four differences shift deferred', 'for differences shift deferred', 'four differences shift deferred', 'four differences shift deferred', 'for differences shift deferred'] |
|
[
"the name of engagement is such evening",
"the name of engagement sets evening",
"to a new engagement such evening",
"the name of engagement is that evening",
"to a new engagement such evening"
] | there were no more engagements that evening | the name of engagement is such evening. | the name of engagement sets evening. to a new engagement such evening. the name of engagement is that evening. to a new engagement such evening. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the name of engagement is such evening', 'the name of engagement sets evening', 'to a new engagement such evening', 'the name of engagement is that evening', 'to a new engagement such evening'] |
|
[
"the codex alimentarius does not list it",
"the codex alimentarius does not list it",
"the codex alimmentarius does not list it",
"the codix alimentarius does not list it",
"the codex alemintarius does not list it"
] | the codex alimentarius does not list it | the codex alimentarius does not list it. | the codex alimentarius does not list it. the codex alimmentarius does not list it. the codix alimentarius does not list it. the codex alemintarius does not list it. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the codex alimentarius does not list it', 'the codex alimentarius does not list it', 'the codex alimmentarius does not list it', 'the codix alimentarius does not list it', 'the codex alemintarius does not list it'] |
|
[
"it was released by paramount pictures",
"it was released by paramount pictions",
"it was released by powermount pictures",
"it was released by powermount pictures",
"it was released by paramount pictions"
] | it was released by paramount pictures | it was released by paramount pictures. | it was released by paramount pictions. it was released by powermount pictures. it was released by powermount pictures. it was released by paramount pictions. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was released by paramount pictures', 'it was released by paramount pictions', 'it was released by powermount pictures', 'it was released by powermount pictures', 'it was released by paramount pictions'] |
|
[
"each year the school receives many exchange students",
"each year the school receives many exchange students",
"each year the score receives many exchange students",
"each year this school receives many exchange students",
"each year the school receives many exchange students"
] | each year the school receives many exchange students | each year the school receives many exchange students. | each year the school receives many exchange students. each year the score receives many exchange students. each year this school receives many exchange students. each year the school receives many exchange students. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['each year the school receives many exchange students', 'each year the school receives many exchange students', 'each year the score receives many exchange students', 'each year this school receives many exchange students', 'each year the school receives many exchange students'] |
|
[
"the name literally means the truth",
"the name literally means the truth",
"the name will literally means the truth",
"the name literally means the truth",
"the name literally means the truth"
] | the name literally means the truth | the name literally means the truth. | the name literally means the truth. the name will literally means the truth. the name literally means the truth. the name literally means the truth. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the name literally means the truth', 'the name literally means the truth', 'the name will literally means the truth', 'the name literally means the truth', 'the name literally means the truth'] |
|
[
"firstly by isabel henderson and more recently by the glasgow based medelliv list david brown",
"firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown",
"firstly by isabel henderson and more recently by the glasgow based medelliv list david brown",
"firstly by isabel henderson and more recently by the glasgow based medelliv list david brown",
"firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown"
] | firstly by isabel henderson and more recently by the glasgow based medievalist dauvit broun | firstly by isabel henderson and more recently by the glasgow based medelliv list david brown. | firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown. firstly by isabel henderson and more recently by the glasgow based medelliv list david brown. firstly by isabel henderson and more recently by the glasgow based medelliv list david brown. firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['firstly by isabel henderson and more recently by the glasgow based medelliv list david brown', 'firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown', 'firstly by isabel henderson and more recently by the glasgow based medelliv list david brown', 'firstly by isabel henderson and more recently by the glasgow based medelliv list david brown', 'firstly by isabelle henderson and more recently by the glasgow based medelliv list david brown'] |
|
[
"the school is overseen by a board of managers",
"the school is overseen by a board of managers",
"the school is overseen by a board of managers",
"the school is overseen by a board of managers",
"the school is overseen by a board of managers"
] | the school is overseen by a board of managers | the school is overseen by a board of managers. | the school is overseen by a board of managers. the school is overseen by a board of managers. the school is overseen by a board of managers. the school is overseen by a board of managers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the school is overseen by a board of managers', 'the school is overseen by a board of managers', 'the school is overseen by a board of managers', 'the school is overseen by a board of managers', 'the school is overseen by a board of managers'] |
|
[
"heron is homebrew goldwing airport",
"heron is homebrew godwin airport",
"heron is home to godwin airport",
"heron is homebrew coatwing airport",
"heron is home to goldwing airport"
] | heron is home to couthuin airport | heron is homebrew goldwing airport. | heron is homebrew godwin airport. heron is home to godwin airport. heron is homebrew coatwing airport. heron is home to goldwing airport. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['heron is homebrew goldwing airport', 'heron is homebrew godwin airport', 'heron is home to godwin airport', 'heron is homebrew coatwing airport', 'heron is home to goldwing airport'] |
|
[
"browning nearly twice clemens age derided clemens as a demagogue and a pip squeak",
"browning nearly twice clement is age derided clement as a demagogue and a pip squeak",
"browning merely twice clemens age derided clemens as a demagogue and a pip squeak",
"browning nearly twice clemens age derided clemens as a demagogue and a pip squeak",
"browning nearly twice clemen is age derided clemen as a demagogue and a pip squeak"
] | browning nearly twice clement is age derided clement as a demagogue and pipsqueak | browning nearly twice clemens age derided clemens as a demagogue and a pip squeak. | browning nearly twice clement is age derided clement as a demagogue and a pip squeak. browning merely twice clemens age derided clemens as a demagogue and a pip squeak. browning nearly twice clemens age derided clemens as a demagogue and a pip squeak. browning nearly twice clemen is age derided clemen as a demagogue and a pip squeak. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['browning nearly twice clemens age derided clemens as a demagogue and a pip squeak', 'browning nearly twice clement is age derided clement as a demagogue and a pip squeak', 'browning merely twice clemens age derided clemens as a demagogue and a pip squeak', 'browning nearly twice clemens age derided clemens as a demagogue and a pip squeak', 'browning nearly twice clemen is age derided clemen as a demagogue and a pip squeak'] |
|
[
"because amy is a private entity its annual earnings are not public knowledge",
"because amy is a private entity it is annual earnings are not public knowledge",
"because amy is a private entity it is only learning the not public knowledge",
"because amy is a private entity its annual earnings are not public knowledge",
"because amy is a private entity it is annual earnings are not public knowledge"
] | because amy is is a private entity its annual earnings are not public knowledge | because amy is a private entity its annual earnings are not public knowledge. | because amy is a private entity it is annual earnings are not public knowledge. because amy is a private entity it is only learning the not public knowledge. because amy is a private entity its annual earnings are not public knowledge. because amy is a private entity it is annual earnings are not public knowledge. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['because amy is a private entity its annual earnings are not public knowledge', 'because amy is a private entity it is annual earnings are not public knowledge', 'because amy is a private entity it is only learning the not public knowledge', 'because amy is a private entity its annual earnings are not public knowledge', 'because amy is a private entity it is annual earnings are not public knowledge'] |
|
[
"it was later revealed that finn and meta have broken off their engagement",
"it was later revealed that finn and meta have broken off the engagement",
"it was later revealed that finn and metta have broken off their engagement",
"it was later revealed that finn and metta have broken off the engagement",
"it was later revealed that finn and mettor have broken off the engagement"
] | it was later revealed that finn and meadow had broken off the engagement | it was later revealed that finn and meta have broken off their engagement. | it was later revealed that finn and meta have broken off the engagement. it was later revealed that finn and metta have broken off their engagement. it was later revealed that finn and metta have broken off the engagement. it was later revealed that finn and mettor have broken off the engagement. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was later revealed that finn and meta have broken off their engagement', 'it was later revealed that finn and meta have broken off the engagement', 'it was later revealed that finn and metta have broken off their engagement', 'it was later revealed that finn and metta have broken off the engagement', 'it was later revealed that finn and mettor have broken off the engagement'] |
|
[
"more commonly the muscle is defend by mineral spelecules by sponge and fibers or both",
"more commonly the muscle is defend by mineral spelecules by sponge and fibers or both",
"more commonly the muscle is defend by mineral specules by sponge and fibers or both",
"more commonly the muscle is defend by mineral spelecules by sponge and fibers or both",
"more commonly the muscle is defend by mineral spelecules by sponge and fibers or both"
] | more commonly the mesohyl is stiffened by mineral spicules by spongin fibers or both | more commonly the muscle is defend by mineral spelecules by sponge and fibers or both. | more commonly the muscle is defend by mineral spelecules by sponge and fibers or both. more commonly the muscle is defend by mineral specules by sponge and fibers or both. more commonly the muscle is defend by mineral spelecules by sponge and fibers or both. more commonly the muscle is defend by mineral spelecules by sponge and fibers or both. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more commonly the muscle is defend by mineral spelecules by sponge and fibers or both', 'more commonly the muscle is defend by mineral spelecules by sponge and fibers or both', 'more commonly the muscle is defend by mineral specules by sponge and fibers or both', 'more commonly the muscle is defend by mineral spelecules by sponge and fibers or both', 'more commonly the muscle is defend by mineral spelecules by sponge and fibers or both'] |
|
[
"each of the original cast largely devised the backstory to the character",
"each of the original cast largely devised the backstory to their character",
"each of the original cards largely devised the backstory to the character",
"each of the original cast is largely devised the backstory to the character",
"each of the original cast largely devised a backstory to the character"
] | each of the original cast largely devised the back story to their character | each of the original cast largely devised the backstory to the character. | each of the original cast largely devised the backstory to their character. each of the original cards largely devised the backstory to the character. each of the original cast is largely devised the backstory to the character. each of the original cast largely devised a backstory to the character. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['each of the original cast largely devised the backstory to the character', 'each of the original cast largely devised the backstory to their character', 'each of the original cards largely devised the backstory to the character', 'each of the original cast is largely devised the backstory to the character', 'each of the original cast largely devised a backstory to the character'] |
|
[
"acological findings denote a settlement of the area already during the neolithic period",
"acological findings denote a settlement of the area already during the neolithic period",
"acalogical findings denote a settlement of the area already during the neolithic period",
"archaeological findings denote a settlement of the area already during the neolithic period",
"ecological findings denote a settlement of the area already during the neolithic period"
] | archaeological findings denote a settlement of the area already during the neolithic period | acological findings denote a settlement of the area already during the neolithic period. | acological findings denote a settlement of the area already during the neolithic period. acalogical findings denote a settlement of the area already during the neolithic period. archaeological findings denote a settlement of the area already during the neolithic period. ecological findings denote a settlement of the area already during the neolithic period. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['acological findings denote a settlement of the area already during the neolithic period', 'acological findings denote a settlement of the area already during the neolithic period', 'acalogical findings denote a settlement of the area already during the neolithic period', 'archaeological findings denote a settlement of the area already during the neolithic period', 'ecological findings denote a settlement of the area already during the neolithic period'] |
|
[
"then leave contrary to the critics impression that they have not left",
"then leave contrasting to the critics impression that they have not left",
"then leave contrasting to the critics impression that they have not left",
"then leave contrary to the critics impression that they have not left",
"then leave contrary to the critics impression that they have not left"
] | they leave contrary to the critics impression that they have not left | then leave contrary to the critics impression that they have not left. | then leave contrasting to the critics impression that they have not left. then leave contrasting to the critics impression that they have not left. then leave contrary to the critics impression that they have not left. then leave contrary to the critics impression that they have not left. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then leave contrary to the critics impression that they have not left', 'then leave contrasting to the critics impression that they have not left', 'then leave contrasting to the critics impression that they have not left', 'then leave contrary to the critics impression that they have not left', 'then leave contrary to the critics impression that they have not left'] |
|
[
"there were two distinct subgroups",
"there were two distinct subgroups",
"they were two distinct subgroups",
"there were two distinct subgroups",
"there were two distinct sub groups"
] | there were two distinct subgroups | there were two distinct subgroups. | there were two distinct subgroups. they were two distinct subgroups. there were two distinct subgroups. there were two distinct sub groups. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were two distinct subgroups', 'there were two distinct subgroups', 'they were two distinct subgroups', 'there were two distinct subgroups', 'there were two distinct sub groups'] |
|
[
"it was recently converted into a venue for cantonese opera",
"it was recently converted into a venue for cantonese opera",
"it was recently converted into a venue for cantonese au pere",
"it was recently converted into a venue for cantonese o parra",
"it was recently converted into a venue for cantonese opera"
] | it was recently converted into a venue for cantonese opera | it was recently converted into a venue for cantonese opera. | it was recently converted into a venue for cantonese opera. it was recently converted into a venue for cantonese au pere. it was recently converted into a venue for cantonese o parra. it was recently converted into a venue for cantonese opera. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was recently converted into a venue for cantonese opera', 'it was recently converted into a venue for cantonese opera', 'it was recently converted into a venue for cantonese au pere', 'it was recently converted into a venue for cantonese o parra', 'it was recently converted into a venue for cantonese opera'] |
|
[
"that is why the city is also known as john groper",
"that is why the city is also known as john grouper",
"that is why the city is also known as john grupper",
"that is why the city is also known as john grapour",
"that is why the city is also known as john grapher"
] | that is why this city also known as jahangirpur | that is why the city is also known as john groper. | that is why the city is also known as john grouper. that is why the city is also known as john grupper. that is why the city is also known as john grapour. that is why the city is also known as john grapher. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that is why the city is also known as john groper', 'that is why the city is also known as john grouper', 'that is why the city is also known as john grupper', 'that is why the city is also known as john grapour', 'that is why the city is also known as john grapher'] |
|
[
"a podcast to side platforms",
"of partners to side platforms",
"a podcast to side platforms",
"a podcast two side platforms",
"park us to side platforms"
] | oak park has two side platforms | a podcast to side platforms. | of partners to side platforms. a podcast to side platforms. a podcast two side platforms. park us to side platforms. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a podcast to side platforms', 'of partners to side platforms', 'a podcast to side platforms', 'a podcast two side platforms', 'park us to side platforms'] |
|
[
"he and his wife shirley reside in atlanta georgia",
"he and his wife shirley reside in atlanta georgia",
"and his wife shirley residing at lanter georgia",
"and his wife shirley residing at lanter georgia",
"hand his wife shirley residing at lanter georgia"
] | he and his wife shirley reside in atlanta georgia | he and his wife shirley reside in atlanta georgia. | he and his wife shirley reside in atlanta georgia. and his wife shirley residing at lanter georgia. and his wife shirley residing at lanter georgia. hand his wife shirley residing at lanter georgia. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he and his wife shirley reside in atlanta georgia', 'he and his wife shirley reside in atlanta georgia', 'and his wife shirley residing at lanter georgia', 'and his wife shirley residing at lanter georgia', 'hand his wife shirley residing at lanter georgia'] |
|
[
"the city was named after a g gover a railroad official",
"the city was named after a g gover railroad official",
"the city was named after ag gover railroad official",
"the city was named after ag gover a railroad official",
"the city was named after a g gover railroad official"
] | the city was named after a g gower a railroad official | the city was named after a g gover a railroad official. | the city was named after a g gover railroad official. the city was named after ag gover railroad official. the city was named after ag gover a railroad official. the city was named after a g gover railroad official. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city was named after a g gover a railroad official', 'the city was named after a g gover railroad official', 'the city was named after ag gover railroad official', 'the city was named after ag gover a railroad official', 'the city was named after a g gover railroad official'] |
|
[
"milla may have base that we can do it",
"miller may have based that we can do it",
"mila may have base that we can do it",
"miller may have base that we can do it",
"milla may have based that we can do it"
] | miller may have based the we can do it | milla may have base that we can do it. | miller may have based that we can do it. mila may have base that we can do it. miller may have base that we can do it. milla may have based that we can do it. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['milla may have base that we can do it', 'miller may have based that we can do it', 'mila may have base that we can do it', 'miller may have base that we can do it', 'milla may have based that we can do it'] |
|
[
"folk nox is to the northeast on the other side of radcliffe",
"falk knox is to the northeast on the other side of radcliffe",
"fork nox is to the northeast on the other side of radcliffe",
"folk knox is to the northeast on the other side of radcliffe",
"falk nox is to the northeast on the other side of radcliffe"
] | fort knox is to the northeast on the other side of radcliff | folk nox is to the northeast on the other side of radcliffe. | falk knox is to the northeast on the other side of radcliffe. fork nox is to the northeast on the other side of radcliffe. folk knox is to the northeast on the other side of radcliffe. falk nox is to the northeast on the other side of radcliffe. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['folk nox is to the northeast on the other side of radcliffe', 'falk knox is to the northeast on the other side of radcliffe', 'fork nox is to the northeast on the other side of radcliffe', 'folk knox is to the northeast on the other side of radcliffe', 'falk nox is to the northeast on the other side of radcliffe'] |
|
[
"sandin was the birthplace of hockey hall of fame members ciso tiny thompson",
"sandin was the birthplace of hockey hall of fame members ciso tiny comption",
"sandin was the birthplace of hockey hall of fame members c soft tiny comption",
"sandin was the birthplace of hockey hall of fame members c soft tiny thompson",
"sandin was the birthplace of hockey hall of fame members ciso tiny conction"
] | sandon was the birthplace of hockey hall of fame member cecil tiny thompson | sandin was the birthplace of hockey hall of fame members ciso tiny thompson. | sandin was the birthplace of hockey hall of fame members ciso tiny comption. sandin was the birthplace of hockey hall of fame members c soft tiny comption. sandin was the birthplace of hockey hall of fame members c soft tiny thompson. sandin was the birthplace of hockey hall of fame members ciso tiny conction. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sandin was the birthplace of hockey hall of fame members ciso tiny thompson', 'sandin was the birthplace of hockey hall of fame members ciso tiny comption', 'sandin was the birthplace of hockey hall of fame members c soft tiny comption', 'sandin was the birthplace of hockey hall of fame members c soft tiny thompson', 'sandin was the birthplace of hockey hall of fame members ciso tiny conction'] |
|
[
"the isolates are accessible from the mainland at mid to low tide",
"the isolates are accessible from the mainland at mid to low tide",
"the isolates are accessible from the mainland at mid to low tide",
"the isolates are accessible from the mainland at mid to low tide",
"the isolates are accessible from the mainland out mid to low tide"
] | the islets are accessible from the mainland at mid to low tide | the isolates are accessible from the mainland at mid to low tide. | the isolates are accessible from the mainland at mid to low tide. the isolates are accessible from the mainland at mid to low tide. the isolates are accessible from the mainland at mid to low tide. the isolates are accessible from the mainland out mid to low tide. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the isolates are accessible from the mainland at mid to low tide', 'the isolates are accessible from the mainland at mid to low tide', 'the isolates are accessible from the mainland at mid to low tide', 'the isolates are accessible from the mainland at mid to low tide', 'the isolates are accessible from the mainland out mid to low tide'] |
|
[
"the nearest operator of node is vexler to the node",
"the nearest freighter of north is vexler to the north",
"the nearest freighter of north is vexler to the north",
"the nearest crater of north is vexler to the north",
"the nearest operator of node is waxler to the node"
] | the nearest crater of note is wexler to the north | the nearest operator of node is vexler to the node. | the nearest freighter of north is vexler to the north. the nearest freighter of north is vexler to the north. the nearest crater of north is vexler to the north. the nearest operator of node is waxler to the node. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the nearest operator of node is vexler to the node', 'the nearest freighter of north is vexler to the north', 'the nearest freighter of north is vexler to the north', 'the nearest crater of north is vexler to the north', 'the nearest operator of node is waxler to the node'] |
|
[
"there were no permanent german settlers",
"there will no permanent german settlers",
"there will be no permanent german settlers",
"there will be no permanent german settlers",
"there will be no permanent german settlers"
] | there were no permanent german settlers | there were no permanent german settlers. | there will no permanent german settlers. there will be no permanent german settlers. there will be no permanent german settlers. there will be no permanent german settlers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were no permanent german settlers', 'there will no permanent german settlers', 'there will be no permanent german settlers', 'there will be no permanent german settlers', 'there will be no permanent german settlers'] |
|
[
"whatever she wrote was her critical success and also sold love",
"whatever she wrote was her critical success and also sold love",
"whatever she wrote was a critical success and also sold love",
"whatever she wrote was her critical success and also sold well",
"whatever she wrote was a critical success and also sold love"
] | whatever she wrote was a critical success and also sold well | whatever she wrote was her critical success and also sold love. | whatever she wrote was her critical success and also sold love. whatever she wrote was a critical success and also sold love. whatever she wrote was her critical success and also sold well. whatever she wrote was a critical success and also sold love. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['whatever she wrote was her critical success and also sold love', 'whatever she wrote was her critical success and also sold love', 'whatever she wrote was a critical success and also sold love', 'whatever she wrote was her critical success and also sold well', 'whatever she wrote was a critical success and also sold love'] |
|
[
"their second son edmund yatespill became a lieutenant colonel in the army",
"the second son edmund yatespill became a lieutenant colonel in the army",
"their second son edmund yatespill became a lieutenant colonel in the army",
"their second son edmund yatespill became a lieutenant colonel in the army",
"the second son edmund yatespill became a lieutenant colonel in the army"
] | their second son edmund yates peel became a lieutenant colonel in the army | their second son edmund yatespill became a lieutenant colonel in the army. | the second son edmund yatespill became a lieutenant colonel in the army. their second son edmund yatespill became a lieutenant colonel in the army. their second son edmund yatespill became a lieutenant colonel in the army. the second son edmund yatespill became a lieutenant colonel in the army. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['their second son edmund yatespill became a lieutenant colonel in the army', 'the second son edmund yatespill became a lieutenant colonel in the army', 'their second son edmund yatespill became a lieutenant colonel in the army', 'their second son edmund yatespill became a lieutenant colonel in the army', 'the second son edmund yatespill became a lieutenant colonel in the army'] |
|
[
"tell me did you turn to hamsi damp tea",
"tell me did you turn to hamsi dumpedi",
"tell me did you turn to hamsi dumpedy",
"tell me did you turn to hamsey dumpty",
"tell me did you turn to hamsy damp tea"
] | tell me did you turn to humpty dumpty | tell me did you turn to hamsi damp tea. | tell me did you turn to hamsi dumpedi. tell me did you turn to hamsi dumpedy. tell me did you turn to hamsey dumpty. tell me did you turn to hamsy damp tea. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tell me did you turn to hamsi damp tea', 'tell me did you turn to hamsi dumpedi', 'tell me did you turn to hamsi dumpedy', 'tell me did you turn to hamsey dumpty', 'tell me did you turn to hamsy damp tea'] |
|
[
"in annie hall pfour trave albee singers best friend rob",
"in annie hall pfour trave albee singles best friend rob",
"in annie hall pfour trade albee singles best friend rob",
"in annie hall pfourtrade albee singles best friend rob",
"in annie hall eportrade albee singles best friend rob"
] | in annie hall he portrayed alvy singer is best friend rob | in annie hall pfour trave albee singers best friend rob. | in annie hall pfour trave albee singles best friend rob. in annie hall pfour trade albee singles best friend rob. in annie hall pfourtrade albee singles best friend rob. in annie hall eportrade albee singles best friend rob. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in annie hall pfour trave albee singers best friend rob', 'in annie hall pfour trave albee singles best friend rob', 'in annie hall pfour trade albee singles best friend rob', 'in annie hall pfourtrade albee singles best friend rob', 'in annie hall eportrade albee singles best friend rob'] |
|
[
"the station was one of the first designs for the jubilee line extension",
"the station was one of the first designs for the jubilee line extension",
"the station was one of the first designs for the jubilee line extension",
"the station was one of the first design for the jubilee line extension",
"the station was one of the first design for the jubilee line extension"
] | the station was one of the first designed for the jubilee line extension | the station was one of the first designs for the jubilee line extension. | the station was one of the first designs for the jubilee line extension. the station was one of the first designs for the jubilee line extension. the station was one of the first design for the jubilee line extension. the station was one of the first design for the jubilee line extension. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the station was one of the first designs for the jubilee line extension', 'the station was one of the first designs for the jubilee line extension', 'the station was one of the first designs for the jubilee line extension', 'the station was one of the first design for the jubilee line extension', 'the station was one of the first design for the jubilee line extension'] |
|
[
"it is the state of the district",
"it is the state of the district",
"it is the state of the district",
"it is the state of the district",
"it is the state of the district"
] | it is the seat of the district | it is the state of the district. | it is the state of the district. it is the state of the district. it is the state of the district. it is the state of the district. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the state of the district', 'it is the state of the district', 'it is the state of the district', 'it is the state of the district', 'it is the state of the district'] |
|
[
"the main campus has two all with the spot fields and several playgrounds",
"the main campus has two all with the sport fields and several playgrounds",
"the main campus has two all with a sport fields and several playgrounds",
"the main campus has two all with a spot fields and several playgrounds",
"the main campus has two all with the sport fields and several playgrounds"
] | the main campus has two all weather sports fields and several playgrounds | the main campus has two all with the spot fields and several playgrounds. | the main campus has two all with the sport fields and several playgrounds. the main campus has two all with a sport fields and several playgrounds. the main campus has two all with a spot fields and several playgrounds. the main campus has two all with the sport fields and several playgrounds. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main campus has two all with the spot fields and several playgrounds', 'the main campus has two all with the sport fields and several playgrounds', 'the main campus has two all with a sport fields and several playgrounds', 'the main campus has two all with a spot fields and several playgrounds', 'the main campus has two all with the sport fields and several playgrounds'] |
|
[
"i have wanted a girl wearing a watch and doc jay told the yellow one to watch more",
"i have wanted a girl wearing a watch and doc jay told the yellow one to watch full",
"i have wanted a girl wearing a watch and doc jay told the yellow one to watch her",
"i have wanted a girl wearing a watch and doc j told the yellow one to watch more",
"i have wanted to go wearing a watch and dark jade told to yellow and watch all"
] | a blondhaired girl wearing a white shirt and dark jeans holds a yellow and white ball | i have wanted a girl wearing a watch and doc jay told the yellow one to watch more. | i have wanted a girl wearing a watch and doc jay told the yellow one to watch full. i have wanted a girl wearing a watch and doc jay told the yellow one to watch her. i have wanted a girl wearing a watch and doc j told the yellow one to watch more. i have wanted to go wearing a watch and dark jade told to yellow and watch all. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i have wanted a girl wearing a watch and doc jay told the yellow one to watch more', 'i have wanted a girl wearing a watch and doc jay told the yellow one to watch full', 'i have wanted a girl wearing a watch and doc jay told the yellow one to watch her', 'i have wanted a girl wearing a watch and doc j told the yellow one to watch more', 'i have wanted to go wearing a watch and dark jade told to yellow and watch all'] |
|
[
"four nations won their first winter limping medal in albertville",
"four nations won their first winter olympic medal in albertville",
"four nations won the first winter limping medal in albertville",
"four nations won the first winter olympic medal in albertville",
"four nations won their first winter limping medal in albertville"
] | four nations won their first winter olympic medal in albertville | four nations won their first winter limping medal in albertville. | four nations won their first winter olympic medal in albertville. four nations won the first winter limping medal in albertville. four nations won the first winter olympic medal in albertville. four nations won their first winter limping medal in albertville. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['four nations won their first winter limping medal in albertville', 'four nations won their first winter olympic medal in albertville', 'four nations won the first winter limping medal in albertville', 'four nations won the first winter olympic medal in albertville', 'four nations won their first winter limping medal in albertville'] |
|
[
"however taking too much gary can have some health implications",
"however taking too much gary can have some health implications",
"however taking too much gory can have some health implications",
"however taking too much curry can have some health implications",
"however taking too much gari can have some health implications"
] | however taking too much garri can have some health implications | however taking too much gary can have some health implications. | however taking too much gary can have some health implications. however taking too much gory can have some health implications. however taking too much curry can have some health implications. however taking too much gari can have some health implications. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however taking too much gary can have some health implications', 'however taking too much gary can have some health implications', 'however taking too much gory can have some health implications', 'however taking too much curry can have some health implications', 'however taking too much gari can have some health implications'] |
|
[
"it won the category of best foreign language fluke",
"it won the category of best foreign language flu",
"it won the category of best foreign language flip",
"it won the category of best foreign language flint",
"it won the category of best foreign language fling"
] | it won in the category of best foreign language film | it won the category of best foreign language fluke. | it won the category of best foreign language flu. it won the category of best foreign language flip. it won the category of best foreign language flint. it won the category of best foreign language fling. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it won the category of best foreign language fluke', 'it won the category of best foreign language flu', 'it won the category of best foreign language flip', 'it won the category of best foreign language flint', 'it won the category of best foreign language fling'] |
|
[
"it is named after canadian third trader and railroad entrepreneur norman kitson",
"it is named after canadian fur trader and railroad entrepreneur norman kitson",
"it is named after canadian third trader and railroad entrepreneur norman kitsun",
"it is named after canadian fur trader and railroad entrepreneur norman kitsun",
"it is named after canadian third trader and railroad entrepreneur norman kitson"
] | it is named after canadian fur trader and railroad entrepreneur norman kittson | it is named after canadian third trader and railroad entrepreneur norman kitson. | it is named after canadian fur trader and railroad entrepreneur norman kitson. it is named after canadian third trader and railroad entrepreneur norman kitsun. it is named after canadian fur trader and railroad entrepreneur norman kitsun. it is named after canadian third trader and railroad entrepreneur norman kitson. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is named after canadian third trader and railroad entrepreneur norman kitson', 'it is named after canadian fur trader and railroad entrepreneur norman kitson', 'it is named after canadian third trader and railroad entrepreneur norman kitsun', 'it is named after canadian fur trader and railroad entrepreneur norman kitsun', 'it is named after canadian third trader and railroad entrepreneur norman kitson'] |
|
[
"another song where do we go from here",
"another soon where do we go from here",
"another song way to be good from here",
"another swim where do we go from here",
"another sound where do we go from here"
] | another song where do we go from here | another song where do we go from here. | another soon where do we go from here. another song way to be good from here. another swim where do we go from here. another sound where do we go from here. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another song where do we go from here', 'another soon where do we go from here', 'another song way to be good from here', 'another swim where do we go from here', 'another sound where do we go from here'] |
|
[
"helen begs and tries to seduce her husband into sparing her life",
"helen beggs and tries to seduce her husband into sparing her life",
"helen beggs and tries to seduce her husband into sparing her life",
"helen begs and tries to seduce her husband into sparing her life",
"helen beggs and tries to seduce her husband into sparing her life"
] | helen begs and tries to seduce her husband into sparing her life | helen begs and tries to seduce her husband into sparing her life. | helen beggs and tries to seduce her husband into sparing her life. helen beggs and tries to seduce her husband into sparing her life. helen begs and tries to seduce her husband into sparing her life. helen beggs and tries to seduce her husband into sparing her life. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['helen begs and tries to seduce her husband into sparing her life', 'helen beggs and tries to seduce her husband into sparing her life', 'helen beggs and tries to seduce her husband into sparing her life', 'helen begs and tries to seduce her husband into sparing her life', 'helen beggs and tries to seduce her husband into sparing her life'] |
|
[
"the duct callers were not very successful",
"the duck callers were not very successful",
"the dup callers were not very successful",
"the duct callers were not very successful",
"the dup callers were not very successful"
] | the duck callers were not very successful | the duct callers were not very successful. | the duck callers were not very successful. the dup callers were not very successful. the duct callers were not very successful. the dup callers were not very successful. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the duct callers were not very successful', 'the duck callers were not very successful', 'the dup callers were not very successful', 'the duct callers were not very successful', 'the dup callers were not very successful'] |
|
[
"the amount due would be charged instead of the amount missing would be indicated",
"the amount do would be charged instead of the amount missing would be indicated",
"the amount you would be charged instead of the amount missing would be indicated",
"the amount to would be charged instead of the amount missing would be indicated",
"the amount would be charged instead of the amount missing would be indicated"
] | the amount due would be charged instead of the amount missing would be indicated | the amount due would be charged instead of the amount missing would be indicated. | the amount do would be charged instead of the amount missing would be indicated. the amount you would be charged instead of the amount missing would be indicated. the amount to would be charged instead of the amount missing would be indicated. the amount would be charged instead of the amount missing would be indicated. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the amount due would be charged instead of the amount missing would be indicated', 'the amount do would be charged instead of the amount missing would be indicated', 'the amount you would be charged instead of the amount missing would be indicated', 'the amount to would be charged instead of the amount missing would be indicated', 'the amount would be charged instead of the amount missing would be indicated'] |
|
[
"i will log the door after you darcy",
"i will log the door after you darcy",
"i will lock the door after you darcy",
"i will log the door after you are done",
"i will lock the door after you darcy"
] | i will lock the door after you darcy | i will log the door after you darcy. | i will log the door after you darcy. i will lock the door after you darcy. i will log the door after you are done. i will lock the door after you darcy. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i will log the door after you darcy', 'i will log the door after you darcy', 'i will lock the door after you darcy', 'i will log the door after you are done', 'i will lock the door after you darcy'] |
|
[
"many political prisoners died under his notorious air injections",
"many political prisoners died under his notorious air injections",
"many political prisoners died under his notorious air injections",
"many political prisoners died under his notorious air injections",
"many political prisoners died under his notorious air injections"
] | many political prisoners died under his notorious air injections | many political prisoners died under his notorious air injections. | many political prisoners died under his notorious air injections. many political prisoners died under his notorious air injections. many political prisoners died under his notorious air injections. many political prisoners died under his notorious air injections. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many political prisoners died under his notorious air injections', 'many political prisoners died under his notorious air injections', 'many political prisoners died under his notorious air injections', 'many political prisoners died under his notorious air injections', 'many political prisoners died under his notorious air injections'] |
|
[
"many modern fault torrent file systems also do copy on right although it increases",
"many modern fault touring file systems also do copy on write although it increases",
"many modern fault toring file systems also do copy on write although it increases",
"many modern fault touring file systems also do copy on write although it increases frequentation",
"many modern fault toring file systems also do copy on write although it increases frequentation"
] | many modern fault tolerant file systems also do copy on write although that increases fragmentation | many modern fault torrent file systems also do copy on right although it increases. | many modern fault touring file systems also do copy on write although it increases. many modern fault toring file systems also do copy on write although it increases. many modern fault touring file systems also do copy on write although it increases frequentation. many modern fault toring file systems also do copy on write although it increases frequentation. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many modern fault torrent file systems also do copy on right although it increases', 'many modern fault touring file systems also do copy on write although it increases', 'many modern fault toring file systems also do copy on write although it increases', 'many modern fault touring file systems also do copy on write although it increases frequentation', 'many modern fault toring file systems also do copy on write although it increases frequentation'] |
|
[
"all ships need sublight engines with the thrust rating",
"all ships need some light engines with the thrust rating",
"all ships need sublight engines with the thrust rating",
"all ships need sub light engines with the thrust rating",
"all ships need sublite engines with the thrust rating"
] | all ships need sublight engines with a thrust rating | all ships need sublight engines with the thrust rating. | all ships need some light engines with the thrust rating. all ships need sublight engines with the thrust rating. all ships need sub light engines with the thrust rating. all ships need sublite engines with the thrust rating. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all ships need sublight engines with the thrust rating', 'all ships need some light engines with the thrust rating', 'all ships need sublight engines with the thrust rating', 'all ships need sub light engines with the thrust rating', 'all ships need sublite engines with the thrust rating'] |
|
[
"they recorded four tracks for the show which was aired twice by peel",
"they are recorded for tracks for the show which was aired twice by peel",
"they recorded four tracks for the show which was aired twice by peele",
"they are recorded for tracks for the show which was aired twice by peel",
"they are recorded four tracks for the show which was aired twice by peel"
] | they recorded four tracks for the show which was aired twice by peel | they recorded four tracks for the show which was aired twice by peel. | they are recorded for tracks for the show which was aired twice by peel. they recorded four tracks for the show which was aired twice by peele. they are recorded for tracks for the show which was aired twice by peel. they are recorded four tracks for the show which was aired twice by peel. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they recorded four tracks for the show which was aired twice by peel', 'they are recorded for tracks for the show which was aired twice by peel', 'they recorded four tracks for the show which was aired twice by peele', 'they are recorded for tracks for the show which was aired twice by peel', 'they are recorded four tracks for the show which was aired twice by peel'] |
|
[
"cedar bluff public schools are part of the cherokee county school district",
"seed art bluff public schools are part of the cherokee county school district",
"seedart bluff public schools are part of the cherokee county school district",
"seedard bluff public schools are part of the cherokee county school district",
"seed art bluff public schools are part of the cherokee county school district"
] | cedar bluff public schools are part of the cherokee county school district | cedar bluff public schools are part of the cherokee county school district. | seed art bluff public schools are part of the cherokee county school district. seedart bluff public schools are part of the cherokee county school district. seedard bluff public schools are part of the cherokee county school district. seed art bluff public schools are part of the cherokee county school district. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cedar bluff public schools are part of the cherokee county school district', 'seed art bluff public schools are part of the cherokee county school district', 'seedart bluff public schools are part of the cherokee county school district', 'seedard bluff public schools are part of the cherokee county school district', 'seed art bluff public schools are part of the cherokee county school district'] |
|
[
"the mountain is mostly covered with sugar and maple dominated forest",
"the map is mostly covered with sugar maple dominated forest",
"the map is mostly covered with sugar and maple dominated forest",
"the mountain is mostly covered with sugar maple dominated forest",
"the map is mostly covered with sugar and maple dominated parts"
] | the mountain is mostly covered with sugar maple dominated forest | the mountain is mostly covered with sugar and maple dominated forest. | the map is mostly covered with sugar maple dominated forest. the map is mostly covered with sugar and maple dominated forest. the mountain is mostly covered with sugar maple dominated forest. the map is mostly covered with sugar and maple dominated parts. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mountain is mostly covered with sugar and maple dominated forest', 'the map is mostly covered with sugar maple dominated forest', 'the map is mostly covered with sugar and maple dominated forest', 'the mountain is mostly covered with sugar maple dominated forest', 'the map is mostly covered with sugar and maple dominated parts'] |
|
[
"putting the verony in its storage whole geographical context",
"putting the barony in its storage whole geographical context",
"putting the verony in its storage whole geographical context",
"putting the varani in its storage whole geographical context",
"putting the verany in its storage whole geographical context"
] | putting the barony in its historico geographical context | putting the verony in its storage whole geographical context. | putting the barony in its storage whole geographical context. putting the verony in its storage whole geographical context. putting the varani in its storage whole geographical context. putting the verany in its storage whole geographical context. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['putting the verony in its storage whole geographical context', 'putting the barony in its storage whole geographical context', 'putting the verony in its storage whole geographical context', 'putting the varani in its storage whole geographical context', 'putting the verany in its storage whole geographical context'] |
|
[
"the announcer of the show was actor dan seymour",
"the announcer of the show was actor dan seymour",
"the announcement of the show was actor dan seymour",
"the announcer of the show was actor dan seymour",
"the announcer of the show was actor dan seymour"
] | the announcer of the show was actor dan seymour | the announcer of the show was actor dan seymour. | the announcer of the show was actor dan seymour. the announcement of the show was actor dan seymour. the announcer of the show was actor dan seymour. the announcer of the show was actor dan seymour. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the announcer of the show was actor dan seymour', 'the announcer of the show was actor dan seymour', 'the announcement of the show was actor dan seymour', 'the announcer of the show was actor dan seymour', 'the announcer of the show was actor dan seymour'] |
|
[
"if you do not believe me i will prove it to you",
"if you do not leave me i will prove it to you",
"if you do not believe me i will prove it to you",
"if you do not believe me i will prove it to you",
"if you do not believe me i will prove it to you"
] | if you do not believe me i will prove it to you | if you do not believe me i will prove it to you. | if you do not leave me i will prove it to you. if you do not believe me i will prove it to you. if you do not believe me i will prove it to you. if you do not believe me i will prove it to you. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if you do not believe me i will prove it to you', 'if you do not leave me i will prove it to you', 'if you do not believe me i will prove it to you', 'if you do not believe me i will prove it to you', 'if you do not believe me i will prove it to you'] |
|
[
"the increase in unit horsepower was happening that year",
"the increase in unit horsepower was happening that year",
"the increasing unit horsepower was happening that year",
"the increase in unit horsepower was happening that year",
"the intelligent unit horsepower was happening that year"
] | the increase in unit horsepower was happening that year | the increase in unit horsepower was happening that year. | the increase in unit horsepower was happening that year. the increasing unit horsepower was happening that year. the increase in unit horsepower was happening that year. the intelligent unit horsepower was happening that year. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the increase in unit horsepower was happening that year', 'the increase in unit horsepower was happening that year', 'the increasing unit horsepower was happening that year', 'the increase in unit horsepower was happening that year', 'the intelligent unit horsepower was happening that year'] |
|
[
"let us watch for daniel larry gray and shasha the organ that serves the rest area",
"let us watch for darling laru gray and shasha the organ that sells grass area",
"let us watch for daniel larry gray and shasha the organ that serves the serial",
"let us watch for darling laro gray and shasha the organ that serves the rest area",
"let us watch for daniel larry gray and shasha the organ that serves the rest area"
] | book spot for darlene lauren gray and sasha in oregon that serves brasserie | let us watch for daniel larry gray and shasha the organ that serves the rest area. | let us watch for darling laru gray and shasha the organ that sells grass area. let us watch for daniel larry gray and shasha the organ that serves the serial. let us watch for darling laro gray and shasha the organ that serves the rest area. let us watch for daniel larry gray and shasha the organ that serves the rest area. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['let us watch for daniel larry gray and shasha the organ that serves the rest area', 'let us watch for darling laru gray and shasha the organ that sells grass area', 'let us watch for daniel larry gray and shasha the organ that serves the serial', 'let us watch for darling laro gray and shasha the organ that serves the rest area', 'let us watch for daniel larry gray and shasha the organ that serves the rest area'] |
|
[
"he recorded all ten scrayabins and notters early in his career",
"he recorded all ten scrayabins and otters early in his career",
"he recorded all ten scriabin senatas early in his career",
"he recorded all ten scriabin senators early in his career",
"he recorded all ten scrayabins and notters early in his career"
] | he recorded all ten scriabin sonatas early in his career | he recorded all ten scrayabins and notters early in his career. | he recorded all ten scrayabins and otters early in his career. he recorded all ten scriabin senatas early in his career. he recorded all ten scriabin senators early in his career. he recorded all ten scrayabins and notters early in his career. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he recorded all ten scrayabins and notters early in his career', 'he recorded all ten scrayabins and otters early in his career', 'he recorded all ten scriabin senatas early in his career', 'he recorded all ten scriabin senators early in his career', 'he recorded all ten scrayabins and notters early in his career'] |
|
[
"william is girlfriend is played by australian model lisa seifert",
"williams girlfriend is played by australian model lisa seifert",
"william is girlfriend is played by australian model lisa siphon",
"william is girlfriend is played by australian model lisa seifert",
"william is girlfriend is played by australian model lisa saifert"
] | williams girlfriend is played by australian model lisa seiffert | william is girlfriend is played by australian model lisa seifert. | williams girlfriend is played by australian model lisa seifert. william is girlfriend is played by australian model lisa siphon. william is girlfriend is played by australian model lisa seifert. william is girlfriend is played by australian model lisa saifert. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['william is girlfriend is played by australian model lisa seifert', 'williams girlfriend is played by australian model lisa seifert', 'william is girlfriend is played by australian model lisa siphon', 'william is girlfriend is played by australian model lisa seifert', 'william is girlfriend is played by australian model lisa saifert'] |
|
[
"her sound has been likened to the cooling of doves",
"her sound has been likened to the cooing of doves",
"her sound has been likened to the queuing of doves",
"her sound has been likened to the cuing of doves",
"her sound has been likened to the queuing of doves"
] | her sound has been likened to the cooing of doves | her sound has been likened to the cooling of doves. | her sound has been likened to the cooing of doves. her sound has been likened to the queuing of doves. her sound has been likened to the cuing of doves. her sound has been likened to the queuing of doves. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her sound has been likened to the cooling of doves', 'her sound has been likened to the cooing of doves', 'her sound has been likened to the queuing of doves', 'her sound has been likened to the cuing of doves', 'her sound has been likened to the queuing of doves'] |
|
[
"one dog is standing on the beach as another dog runs into the ocean",
"one dog is standing on the beach as another dog runs into the ocean",
"one dog standing on the beach as another dog runs into the ocean",
"onedog is standing on the beach as another dog runs into the ocean",
"one dog standing on the beach as another dog runs into the ocean"
] | one dog is standing on the beach as another dog runs into the ocean | one dog is standing on the beach as another dog runs into the ocean. | one dog is standing on the beach as another dog runs into the ocean. one dog standing on the beach as another dog runs into the ocean. onedog is standing on the beach as another dog runs into the ocean. one dog standing on the beach as another dog runs into the ocean. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one dog is standing on the beach as another dog runs into the ocean', 'one dog is standing on the beach as another dog runs into the ocean', 'one dog standing on the beach as another dog runs into the ocean', 'onedog is standing on the beach as another dog runs into the ocean', 'one dog standing on the beach as another dog runs into the ocean'] |
|
[
"who was later married to that actress lierny melingo",
"he was later married to that actress lierny melingo",
"it was later married to that actress lierny melingo",
"it was later married to that actress lierny melingo",
"he was later married to that actress lierny melingo"
] | he was later married to the actress leonie mellinger | who was later married to that actress lierny melingo. | he was later married to that actress lierny melingo. it was later married to that actress lierny melingo. it was later married to that actress lierny melingo. he was later married to that actress lierny melingo. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['who was later married to that actress lierny melingo', 'he was later married to that actress lierny melingo', 'it was later married to that actress lierny melingo', 'it was later married to that actress lierny melingo', 'he was later married to that actress lierny melingo'] |
|
[
"another term used to refer to these types of killing is politicized",
"another time used to refer to these types of killing is both this side",
"another time used to refer to these types of killing is politicized",
"another time is to refer to these types of killing as balticite",
"another time used to refer to these types of killing is balticite"
] | another term used to refer to these types of killing is politicide | another term used to refer to these types of killing is politicized. | another time used to refer to these types of killing is both this side. another time used to refer to these types of killing is politicized. another time is to refer to these types of killing as balticite. another time used to refer to these types of killing is balticite. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another term used to refer to these types of killing is politicized', 'another time used to refer to these types of killing is both this side', 'another time used to refer to these types of killing is politicized', 'another time is to refer to these types of killing as balticite', 'another time used to refer to these types of killing is balticite'] |
|
[
"i wonder what will become of my name when i go in",
"i wonder what will become of my name when i go in",
"i wonder what will become of my name when i go in",
"i wonder what will become of my name when i go in",
"i wonder what will become of my name when i go in"
] | i wonder what ll become of my name when i go in | i wonder what will become of my name when i go in. | i wonder what will become of my name when i go in. i wonder what will become of my name when i go in. i wonder what will become of my name when i go in. i wonder what will become of my name when i go in. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i wonder what will become of my name when i go in', 'i wonder what will become of my name when i go in', 'i wonder what will become of my name when i go in', 'i wonder what will become of my name when i go in', 'i wonder what will become of my name when i go in'] |
|
[
"he was sasa prince within the political sphere",
"he was sassa prince within the political sphere",
"he was sassup prince within the political sphere",
"he was sasa prince within the political sphere",
"he was salsa prince within the political sphere"
] | he was thus a prince within the political sphere | he was sasa prince within the political sphere. | he was sassa prince within the political sphere. he was sassup prince within the political sphere. he was sasa prince within the political sphere. he was salsa prince within the political sphere. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was sasa prince within the political sphere', 'he was sassa prince within the political sphere', 'he was sassup prince within the political sphere', 'he was sasa prince within the political sphere', 'he was salsa prince within the political sphere'] |
|
[
"a girl is sitting on the ground talking on a phone",
"a girl is sitting on the ground talking on a phone",
"a girl is sitting on the ground talking on a fine",
"a girl is sitting on the ground talking on a fine",
"a girl is sitting on the ground talking on a phone"
] | a girl is sitting on the ground talking on a phone | a girl is sitting on the ground talking on a phone. | a girl is sitting on the ground talking on a phone. a girl is sitting on the ground talking on a fine. a girl is sitting on the ground talking on a fine. a girl is sitting on the ground talking on a phone. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a girl is sitting on the ground talking on a phone', 'a girl is sitting on the ground talking on a phone', 'a girl is sitting on the ground talking on a fine', 'a girl is sitting on the ground talking on a fine', 'a girl is sitting on the ground talking on a phone'] |
|
[
"see graduated high school in taya bas high school now quezon national high school",
"see graduated high school in taya bas high school now tuition national high school",
"see graduated high school in taya bas high school now q is a national high school",
"see graduated high school in ayabas high school now cue as a national high school",
"see graduated high school in ayabas high school now cue as a national high school"
] | she graduated high school in tayabas high school now quezon national high school | see graduated high school in taya bas high school now quezon national high school. | see graduated high school in taya bas high school now tuition national high school. see graduated high school in taya bas high school now q is a national high school. see graduated high school in ayabas high school now cue as a national high school. see graduated high school in ayabas high school now cue as a national high school. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see graduated high school in taya bas high school now quezon national high school', 'see graduated high school in taya bas high school now tuition national high school', 'see graduated high school in taya bas high school now q is a national high school', 'see graduated high school in ayabas high school now cue as a national high school', 'see graduated high school in ayabas high school now cue as a national high school'] |
|
[
"the set of discontinuities of a monotonic function is at most countable",
"the set of discontinuities of a monotonic function is at most countable",
"the set of discontinuities of a monotonic function is at most countable",
"the set of discontinuities of a monotonic function is at most countable",
"the set of discontinuities of a monotonic function is at most countable"
] | the set of discontinuities of a monotonic function is at most countable | the set of discontinuities of a monotonic function is at most countable. | the set of discontinuities of a monotonic function is at most countable. the set of discontinuities of a monotonic function is at most countable. the set of discontinuities of a monotonic function is at most countable. the set of discontinuities of a monotonic function is at most countable. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the set of discontinuities of a monotonic function is at most countable', 'the set of discontinuities of a monotonic function is at most countable', 'the set of discontinuities of a monotonic function is at most countable', 'the set of discontinuities of a monotonic function is at most countable', 'the set of discontinuities of a monotonic function is at most countable'] |
|
[
"she is mexican and holds the power of premonition seeing into the future",
"she is mexican and holds the power of premonition seeing into the future",
"she is mexican and holds the power of premonition seeing into the future",
"she is mexican and holds the power of premonition seeing into the future",
"she is mexican and holds the power of kremlin seeing into the future"
] | she is mexican and holds the power of premonition seeing into the future | she is mexican and holds the power of premonition seeing into the future. | she is mexican and holds the power of premonition seeing into the future. she is mexican and holds the power of premonition seeing into the future. she is mexican and holds the power of premonition seeing into the future. she is mexican and holds the power of kremlin seeing into the future. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is mexican and holds the power of premonition seeing into the future', 'she is mexican and holds the power of premonition seeing into the future', 'she is mexican and holds the power of premonition seeing into the future', 'she is mexican and holds the power of premonition seeing into the future', 'she is mexican and holds the power of kremlin seeing into the future'] |
|
[
"the international phonetic alphabet uses for the worthless well up flows",
"the international phonetic alphabet uses for the worthless well op flows",
"the international phonetic alphabet uses for the worstless well up flows",
"the international phonetic alphabet uses for the worstless well out flows",
"the international phonetic alphabet uses for the voiceless well up flows"
] | the international phonetic alphabet uses for the voiceless velar plosive | the international phonetic alphabet uses for the worthless well up flows. | the international phonetic alphabet uses for the worthless well op flows. the international phonetic alphabet uses for the worstless well up flows. the international phonetic alphabet uses for the worstless well out flows. the international phonetic alphabet uses for the voiceless well up flows. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the international phonetic alphabet uses for the worthless well up flows', 'the international phonetic alphabet uses for the worthless well op flows', 'the international phonetic alphabet uses for the worstless well up flows', 'the international phonetic alphabet uses for the worstless well out flows', 'the international phonetic alphabet uses for the voiceless well up flows'] |
|
[
"newberry also negotiated the affiliation of the club to argentine football association",
"newbury also negotiated the affiliation of the club to argentine football association",
"newberry olsen negotiated the affiliation of the club to argentine football association",
"newberry ozone negotiated the affiliation of the club to argentine football association",
"newberry also negotiated the affiliation of the club to argentine football association"
] | newbery also negotiated the affiliation of the club to argentine football association | newberry also negotiated the affiliation of the club to argentine football association. | newbury also negotiated the affiliation of the club to argentine football association. newberry olsen negotiated the affiliation of the club to argentine football association. newberry ozone negotiated the affiliation of the club to argentine football association. newberry also negotiated the affiliation of the club to argentine football association. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['newberry also negotiated the affiliation of the club to argentine football association', 'newbury also negotiated the affiliation of the club to argentine football association', 'newberry olsen negotiated the affiliation of the club to argentine football association', 'newberry ozone negotiated the affiliation of the club to argentine football association', 'newberry also negotiated the affiliation of the club to argentine football association'] |
|
[
"that would joke around about forming a band in the halls",
"they will joke around about forming a band in the halls",
"they would joke around about forming a band in the halls",
"that would joke around about forming a band in the horse",
"that would joke around about forming a band in the hauls"
] | they would joke around about forming a band in the halls | that would joke around about forming a band in the halls. | they will joke around about forming a band in the halls. they would joke around about forming a band in the halls. that would joke around about forming a band in the horse. that would joke around about forming a band in the hauls. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that would joke around about forming a band in the halls', 'they will joke around about forming a band in the halls', 'they would joke around about forming a band in the halls', 'that would joke around about forming a band in the horse', 'that would joke around about forming a band in the hauls'] |
|
[
"he was accompanied by his wife ms al garma",
"he was accompanied by his wife missy al garma",
"he was accompanied by his wife mise al gauma",
"he was accompanied by his wife misea al ghama",
"he was accompanied by his wife misea al gauma"
] | he was accompanied by his wife misao gamo | he was accompanied by his wife ms al garma. | he was accompanied by his wife missy al garma. he was accompanied by his wife mise al gauma. he was accompanied by his wife misea al ghama. he was accompanied by his wife misea al gauma. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was accompanied by his wife ms al garma', 'he was accompanied by his wife missy al garma', 'he was accompanied by his wife mise al gauma', 'he was accompanied by his wife misea al ghama', 'he was accompanied by his wife misea al gauma'] |
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