hypothesis
listlengths 5
5
| transcription
stringlengths 2
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| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"this corridor continues east across the ohio river over the blendhacet island bridge",
"this corridor continues east across the ohio river over the blenhaasert island bridge",
"this corridor continues east across the ohio river over the blendhazard island bridge",
"this corridor continues east across the ohio river over the blenhasut island bridge",
"this corridor continues east across the ohio river over the blanghasset island bridge"
]
| this corridor continues east across the ohio river over the blennerhassett island bridge | this corridor continues east across the ohio river over the blendhacet island bridge. | this corridor continues east across the ohio river over the blenhaasert island bridge. this corridor continues east across the ohio river over the blendhazard island bridge. this corridor continues east across the ohio river over the blenhasut island bridge. this corridor continues east across the ohio river over the blanghasset island bridge. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this corridor continues east across the ohio river over the blendhacet island bridge', 'this corridor continues east across the ohio river over the blenhaasert island bridge', 'this corridor continues east across the ohio river over the blendhazard island bridge', 'this corridor continues east across the ohio river over the blenhasut island bridge', 'this corridor continues east across the ohio river over the blanghasset island bridge'] |
|
[
"later the area was a hunting range for tonawaka aranamas tamikwa and karnakwa",
"later the area was a hunting range for tonawaka aranamus tamikwa and karnakwa",
"later the area was a hunting range for tonawaka aranamas tamikos and karnakwa",
"later the area was a hunting range for tonawaka aranamas tamikos and karnakwa",
"later the area was a hunting range for tonawaka aranamus tamikos and karnakwa"
]
| later the area was a hunting range for tonkawa aranamas tamiques karankawa | later the area was a hunting range for tonawaka aranamas tamikwa and karnakwa. | later the area was a hunting range for tonawaka aranamus tamikwa and karnakwa. later the area was a hunting range for tonawaka aranamas tamikos and karnakwa. later the area was a hunting range for tonawaka aranamas tamikos and karnakwa. later the area was a hunting range for tonawaka aranamus tamikos and karnakwa. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['later the area was a hunting range for tonawaka aranamas tamikwa and karnakwa', 'later the area was a hunting range for tonawaka aranamus tamikwa and karnakwa', 'later the area was a hunting range for tonawaka aranamas tamikos and karnakwa', 'later the area was a hunting range for tonawaka aranamas tamikos and karnakwa', 'later the area was a hunting range for tonawaka aranamus tamikos and karnakwa'] |
|
[
"consider a locus that carries two l outs a and d",
"consider a locus that carries two l outs a and b",
"consider a locus that carries two lls a and d",
"consider a locus that carries two lls a and b",
"consider the locus that carries two l outs a and d"
]
| consider a locus that carries two alleles a and b | consider a locus that carries two l outs a and d. | consider a locus that carries two l outs a and b. consider a locus that carries two lls a and d. consider a locus that carries two lls a and b. consider the locus that carries two l outs a and d. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['consider a locus that carries two l outs a and d', 'consider a locus that carries two l outs a and b', 'consider a locus that carries two lls a and d', 'consider a locus that carries two lls a and b', 'consider the locus that carries two l outs a and d'] |
|
[
"the footballer was cold calm and collected",
"the foot roller was cold calm and collected",
"the footballer was cold calm and collected",
"the foot roller was cold calm and collected",
"the foot roller was cold calm and collected"
]
| the footballer was cool calm and collected | the footballer was cold calm and collected. | the foot roller was cold calm and collected. the footballer was cold calm and collected. the foot roller was cold calm and collected. the foot roller was cold calm and collected. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the footballer was cold calm and collected', 'the foot roller was cold calm and collected', 'the footballer was cold calm and collected', 'the foot roller was cold calm and collected', 'the foot roller was cold calm and collected'] |
|
[
"the values and institutions of the revelation dominate french politics to this day",
"the values and institutions of the revelation dominate french politics to this day",
"the values and institutions of the revelation dominated french politics to this day",
"the values and institutions of the revolution dominate french politics to this day",
"the values and institutions of the revelation dominated french politics to this day"
]
| the values and institutions of the revolution dominate french politics to this day | the values and institutions of the revelation dominate french politics to this day. | the values and institutions of the revelation dominate french politics to this day. the values and institutions of the revelation dominated french politics to this day. the values and institutions of the revolution dominate french politics to this day. the values and institutions of the revelation dominated french politics to this day. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the values and institutions of the revelation dominate french politics to this day', 'the values and institutions of the revelation dominate french politics to this day', 'the values and institutions of the revelation dominated french politics to this day', 'the values and institutions of the revolution dominate french politics to this day', 'the values and institutions of the revelation dominated french politics to this day'] |
|
[
"many portfolios are managed through a benchmark typically an index",
"many portfolios are managed through a benchmark typically in index",
"many portfolios are managed through a benchmark typically and index",
"many portfolios are managed to avenge map typically an index",
"many portfolios are managed through a benchmark typically an index"
]
| many portfolios are managed to a benchmark typically an index | many portfolios are managed through a benchmark typically an index. | many portfolios are managed through a benchmark typically in index. many portfolios are managed through a benchmark typically and index. many portfolios are managed to avenge map typically an index. many portfolios are managed through a benchmark typically an index. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many portfolios are managed through a benchmark typically an index', 'many portfolios are managed through a benchmark typically in index', 'many portfolios are managed through a benchmark typically and index', 'many portfolios are managed to avenge map typically an index', 'many portfolios are managed through a benchmark typically an index'] |
|
[
"the corridor also leads into the council chamber",
"the corridor also leads into the castle chamber",
"the corridor also leads it to the council chamber",
"the corridor also leads in to the council chamber",
"the corridor also leads into the colonel chamber"
]
| the corridor also leads into the council chamber | the corridor also leads into the council chamber. | the corridor also leads into the castle chamber. the corridor also leads it to the council chamber. the corridor also leads in to the council chamber. the corridor also leads into the colonel chamber. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the corridor also leads into the council chamber', 'the corridor also leads into the castle chamber', 'the corridor also leads it to the council chamber', 'the corridor also leads in to the council chamber', 'the corridor also leads into the colonel chamber'] |
|
[
"after six months it became public",
"after six months it became public",
"after six months it became public",
"after six months it became public",
"after six months it became public"
]
| after six months it became public | after six months it became public. | after six months it became public. after six months it became public. after six months it became public. after six months it became public. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after six months it became public', 'after six months it became public', 'after six months it became public', 'after six months it became public', 'after six months it became public'] |
|
[
"to date at a seat of the large d g force municipality",
"to date at the seat of the large d g force municipality",
"to date at as seat of the large d g force municipality",
"to date as seat of the large d g force municipality",
"to date at a seat of the large dg air force municipality"
]
| today it acts as seat of the larger degerfors municipality | to date at a seat of the large d g force municipality. | to date at the seat of the large d g force municipality. to date at as seat of the large d g force municipality. to date as seat of the large d g force municipality. to date at a seat of the large dg air force municipality. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to date at a seat of the large d g force municipality', 'to date at the seat of the large d g force municipality', 'to date at as seat of the large d g force municipality', 'to date as seat of the large d g force municipality', 'to date at a seat of the large dg air force municipality'] |
|
[
"most people seem to me to do a great deal of harm",
"most people seem to me to do a great deal of harm",
"most people seem to me to do a great deal of harm",
"most people seem to me to do a great deal of harm",
"most people seem to me to do a great deal of harm"
]
| most people seem to me to do a great deal of harm | most people seem to me to do a great deal of harm. | most people seem to me to do a great deal of harm. most people seem to me to do a great deal of harm. most people seem to me to do a great deal of harm. most people seem to me to do a great deal of harm. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most people seem to me to do a great deal of harm', 'most people seem to me to do a great deal of harm', 'most people seem to me to do a great deal of harm', 'most people seem to me to do a great deal of harm', 'most people seem to me to do a great deal of harm'] |
|
[
"options highlight a tradition in porter",
"options highlight a tradition in quarter",
"actions highlight a tradition in porter",
"options highlight a traditional importer",
"options highlight a tradition in portard"
]
| auctions highlight a tradition in porter | options highlight a tradition in porter. | options highlight a tradition in quarter. actions highlight a tradition in porter. options highlight a traditional importer. options highlight a tradition in portard. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['options highlight a tradition in porter', 'options highlight a tradition in quarter', 'actions highlight a tradition in porter', 'options highlight a traditional importer', 'options highlight a tradition in portard'] |
|
[
"he also recorded a single for nashville based bullet records that year",
"he also recorded a single for nashville based bullet records that year",
"he also recorded a single for nashville based bullet records that year",
"he also recorded a single for nashville based bullet records that year",
"he also recorded a single for nashville based blit records that year"
]
| he also recorded a single for nashville based bullet records that year | he also recorded a single for nashville based bullet records that year. | he also recorded a single for nashville based bullet records that year. he also recorded a single for nashville based bullet records that year. he also recorded a single for nashville based bullet records that year. he also recorded a single for nashville based blit records that year. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also recorded a single for nashville based bullet records that year', 'he also recorded a single for nashville based bullet records that year', 'he also recorded a single for nashville based bullet records that year', 'he also recorded a single for nashville based bullet records that year', 'he also recorded a single for nashville based blit records that year'] |
|
[
"the first kind of max constructed in recent times",
"the first kind of max constructed in recent times",
"the first kind of max constructed in recent times",
"the first kind of mechs constructed in recent times",
"the first kind of macs constructed in recent times"
]
| the first kind of mechs constructed in recent times | the first kind of max constructed in recent times. | the first kind of max constructed in recent times. the first kind of max constructed in recent times. the first kind of mechs constructed in recent times. the first kind of macs constructed in recent times. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the first kind of max constructed in recent times', 'the first kind of max constructed in recent times', 'the first kind of max constructed in recent times', 'the first kind of mechs constructed in recent times', 'the first kind of macs constructed in recent times'] |
|
[
"the experiment is commonly referred to as screaming jelly babies",
"the experiment is commonly referred to as screaming jelly babies",
"the experiment is commonly referred to as screaming jelly babies",
"the experiment is commonly referred to as screaming jelly babies",
"the experiment is commonly referred to as screaming jelly babies"
]
| the experiment is commonly referred to as screaming jelly babies | the experiment is commonly referred to as screaming jelly babies. | the experiment is commonly referred to as screaming jelly babies. the experiment is commonly referred to as screaming jelly babies. the experiment is commonly referred to as screaming jelly babies. the experiment is commonly referred to as screaming jelly babies. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the experiment is commonly referred to as screaming jelly babies', 'the experiment is commonly referred to as screaming jelly babies', 'the experiment is commonly referred to as screaming jelly babies', 'the experiment is commonly referred to as screaming jelly babies', 'the experiment is commonly referred to as screaming jelly babies'] |
|
[
"however the machine with busters built was prone to breakdowns",
"however the machine with buster is built was prone to breakdowns",
"however the machine with busters built was prone to break downs",
"however the machine with busters built was prone to breakdowns",
"however the machine with buses built was prone to breakdowns"
]
| however the machine mythbusters built was prone to breakdowns | however the machine with busters built was prone to breakdowns. | however the machine with buster is built was prone to breakdowns. however the machine with busters built was prone to break downs. however the machine with busters built was prone to breakdowns. however the machine with buses built was prone to breakdowns. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the machine with busters built was prone to breakdowns', 'however the machine with buster is built was prone to breakdowns', 'however the machine with busters built was prone to break downs', 'however the machine with busters built was prone to breakdowns', 'however the machine with buses built was prone to breakdowns'] |
|
[
"one is brilliant self guiding society provides a critical overview of the active society",
"one is brilliant self guiding society provides a critical overview of the active society",
"once brilliant self guiding society provides a critical overview of the active society",
"one is brilliant self guiding society provides a quick overview of the active society",
"one is brilliant soft guiding society provides a critical overview of the active society"
]
| warren breed is the self guiding society provides a critical overview of the active society | one is brilliant self guiding society provides a critical overview of the active society. | one is brilliant self guiding society provides a critical overview of the active society. once brilliant self guiding society provides a critical overview of the active society. one is brilliant self guiding society provides a quick overview of the active society. one is brilliant soft guiding society provides a critical overview of the active society. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one is brilliant self guiding society provides a critical overview of the active society', 'one is brilliant self guiding society provides a critical overview of the active society', 'once brilliant self guiding society provides a critical overview of the active society', 'one is brilliant self guiding society provides a quick overview of the active society', 'one is brilliant soft guiding society provides a critical overview of the active society'] |
|
[
"if the source address was forged the opponent gets no answer",
"if the source address was forged the opponent gets no answer",
"if the source address was forged the opponent gets no answer",
"if the source address was forged the opponent gets no answer",
"if the source address was forged the opponent gets no answer"
]
| if the source address was forged the opponent gets no answer | if the source address was forged the opponent gets no answer. | if the source address was forged the opponent gets no answer. if the source address was forged the opponent gets no answer. if the source address was forged the opponent gets no answer. if the source address was forged the opponent gets no answer. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if the source address was forged the opponent gets no answer', 'if the source address was forged the opponent gets no answer', 'if the source address was forged the opponent gets no answer', 'if the source address was forged the opponent gets no answer', 'if the source address was forged the opponent gets no answer'] |
|
[
"the main objective was to promote their factories products and improve their reputation",
"the main objective was to promote their factory is products and improve their reputation",
"the main objective was to promote their factories products and improve their reputation",
"the main objective was to promote their factory is products and improve their reputation",
"the main objective was to promote their factory is products and improve their reputation"
]
| the main objective was to promote their factory is products and improve their reputation | the main objective was to promote their factories products and improve their reputation. | the main objective was to promote their factory is products and improve their reputation. the main objective was to promote their factories products and improve their reputation. the main objective was to promote their factory is products and improve their reputation. the main objective was to promote their factory is products and improve their reputation. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main objective was to promote their factories products and improve their reputation', 'the main objective was to promote their factory is products and improve their reputation', 'the main objective was to promote their factories products and improve their reputation', 'the main objective was to promote their factory is products and improve their reputation', 'the main objective was to promote their factory is products and improve their reputation'] |
|
[
"a federal judge found him guilty and imposed a fine plus prison time",
"a federal judge found him guilty and imposed a fine plus prison time",
"a federal judge found him guilty and imposed a fine plus prison time",
"a federal judge found him guilty and imposed a fine plus prison time",
"a federal judge found him guilty and imposed a fine plus prison time"
]
| a federal judge found him guilty and imposed a fine plus prison time | a federal judge found him guilty and imposed a fine plus prison time. | a federal judge found him guilty and imposed a fine plus prison time. a federal judge found him guilty and imposed a fine plus prison time. a federal judge found him guilty and imposed a fine plus prison time. a federal judge found him guilty and imposed a fine plus prison time. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a federal judge found him guilty and imposed a fine plus prison time', 'a federal judge found him guilty and imposed a fine plus prison time', 'a federal judge found him guilty and imposed a fine plus prison time', 'a federal judge found him guilty and imposed a fine plus prison time', 'a federal judge found him guilty and imposed a fine plus prison time'] |
|
[
"he was also of a most human disposition and a friend of liberal institution",
"he was also of a most human disposition and a friend of liberal institutions",
"he was also of the most human disposition and a friend of liberal institution",
"he was also of a most humane disposition and a friend of liberal institution",
"he was also of a most humane disposition and a friend of liberal institutions"
]
| he was also of a most humane disposition and a friend of liberal institutions | he was also of a most human disposition and a friend of liberal institution. | he was also of a most human disposition and a friend of liberal institutions. he was also of the most human disposition and a friend of liberal institution. he was also of a most humane disposition and a friend of liberal institution. he was also of a most humane disposition and a friend of liberal institutions. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was also of a most human disposition and a friend of liberal institution', 'he was also of a most human disposition and a friend of liberal institutions', 'he was also of the most human disposition and a friend of liberal institution', 'he was also of a most humane disposition and a friend of liberal institution', 'he was also of a most humane disposition and a friend of liberal institutions'] |
|
[
"another muhammad bed half the field of workers bankrupt the attorney",
"another muhammad bed half the field of workers bankrupt the attorney",
"another muhammad paid half the fee of workers bankrupt the attorney",
"another mohammed paid half the fee of workers bankrupt the attorney",
"another muhammad paid half the fee of workers bankrupt fee attorney"
]
| nazr mohammed paid half the fee of walker is bankruptcy attorney | another muhammad bed half the field of workers bankrupt the attorney. | another muhammad bed half the field of workers bankrupt the attorney. another muhammad paid half the fee of workers bankrupt the attorney. another mohammed paid half the fee of workers bankrupt the attorney. another muhammad paid half the fee of workers bankrupt fee attorney. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another muhammad bed half the field of workers bankrupt the attorney', 'another muhammad bed half the field of workers bankrupt the attorney', 'another muhammad paid half the fee of workers bankrupt the attorney', 'another mohammed paid half the fee of workers bankrupt the attorney', 'another muhammad paid half the fee of workers bankrupt fee attorney'] |
|
[
"marjorie exhibits racial bias toward nira who is a british indian",
"marjorie exhibits racial bias toward nero who is a british indian",
"marjorie exhibits racial bias toward mira who is a british indian",
"marjorie exhibits racial bias toward nira who is a british indian",
"marjory exhibits racial bias toward nira who is a british indian"
]
| marjorie exhibits racial bias towards meera who is a british indian | marjorie exhibits racial bias toward nira who is a british indian. | marjorie exhibits racial bias toward nero who is a british indian. marjorie exhibits racial bias toward mira who is a british indian. marjorie exhibits racial bias toward nira who is a british indian. marjory exhibits racial bias toward nira who is a british indian. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['marjorie exhibits racial bias toward nira who is a british indian', 'marjorie exhibits racial bias toward nero who is a british indian', 'marjorie exhibits racial bias toward mira who is a british indian', 'marjorie exhibits racial bias toward nira who is a british indian', 'marjory exhibits racial bias toward nira who is a british indian'] |
|
[
"never mind what she thinks so long as she obeys",
"never mind what she thinks so long as she obeys",
"never mind what she thinks so long as she obeys",
"nevermind what she thinks so long as she obeys",
"never mind what she thinks so long as she obeys"
]
| never mind what she thinks so long as she obeys | never mind what she thinks so long as she obeys. | never mind what she thinks so long as she obeys. never mind what she thinks so long as she obeys. nevermind what she thinks so long as she obeys. never mind what she thinks so long as she obeys. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['never mind what she thinks so long as she obeys', 'never mind what she thinks so long as she obeys', 'never mind what she thinks so long as she obeys', 'nevermind what she thinks so long as she obeys', 'never mind what she thinks so long as she obeys'] |
|
[
"the stress points that carried the screed were reinforced by the iron chains",
"the stress points that carried the screed were reinforced by the ion chains",
"the stress points that carried the screen were reinforced by the iron chains",
"the stress points that carried the screen were reinforced by the ion chains",
"the stress points that carried the screen were reinforced by the iron chains"
]
| the stress points that carried the screed were reinforced by the iron chains | the stress points that carried the screed were reinforced by the iron chains. | the stress points that carried the screed were reinforced by the ion chains. the stress points that carried the screen were reinforced by the iron chains. the stress points that carried the screen were reinforced by the ion chains. the stress points that carried the screen were reinforced by the iron chains. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stress points that carried the screed were reinforced by the iron chains', 'the stress points that carried the screed were reinforced by the ion chains', 'the stress points that carried the screen were reinforced by the iron chains', 'the stress points that carried the screen were reinforced by the ion chains', 'the stress points that carried the screen were reinforced by the iron chains'] |
|
[
"it is about taller than any other mountain in kentucky",
"it is about taller than any other mountain in kentaki",
"it is about taller than any other mountain in kentaki",
"it is about taller than any other mountain in kentucky",
"it is about taller than any other mountain in kentaki"
]
| it is about taller than any other mountain in kentucky | it is about taller than any other mountain in kentucky. | it is about taller than any other mountain in kentaki. it is about taller than any other mountain in kentaki. it is about taller than any other mountain in kentucky. it is about taller than any other mountain in kentaki. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is about taller than any other mountain in kentucky', 'it is about taller than any other mountain in kentaki', 'it is about taller than any other mountain in kentaki', 'it is about taller than any other mountain in kentucky', 'it is about taller than any other mountain in kentaki'] |
|
[
"functionally these types of lives are comparable to pickaxotes rights",
"functionally these types of lives are comparable to pickaxe outs rights",
"functionally these types of lives are comparable to click exodes rights",
"functionally these types of lives are comparable to clickx outs rights",
"functionally these types of lives are comparable to kick x outs rights"
]
| functionally these types of valves are comparable to quick exhaust valves | functionally these types of lives are comparable to pickaxotes rights. | functionally these types of lives are comparable to pickaxe outs rights. functionally these types of lives are comparable to click exodes rights. functionally these types of lives are comparable to clickx outs rights. functionally these types of lives are comparable to kick x outs rights. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['functionally these types of lives are comparable to pickaxotes rights', 'functionally these types of lives are comparable to pickaxe outs rights', 'functionally these types of lives are comparable to click exodes rights', 'functionally these types of lives are comparable to clickx outs rights', 'functionally these types of lives are comparable to kick x outs rights'] |
|
[
"in the same year faci found employment in the berlin machine shop",
"in the same year tracy found employment in the berlin machine shop",
"in the same year faci file an employment in the berlin machine shop",
"in the same year a phrase you found in private in the berlin machine shop",
"in the same year facy found employment in the berlin machine shop"
]
| in the same year fritsche found employment in a berlin machine shop | in the same year faci found employment in the berlin machine shop. | in the same year tracy found employment in the berlin machine shop. in the same year faci file an employment in the berlin machine shop. in the same year a phrase you found in private in the berlin machine shop. in the same year facy found employment in the berlin machine shop. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the same year faci found employment in the berlin machine shop', 'in the same year tracy found employment in the berlin machine shop', 'in the same year faci file an employment in the berlin machine shop', 'in the same year a phrase you found in private in the berlin machine shop', 'in the same year facy found employment in the berlin machine shop'] |
|
[
"he also played first violin in the tokyo string quartet",
"he also played first violin in the tokyo string quartet",
"he also played onest violin in the tokyo string quartet",
"he also played first violin in the tokio string quartet",
"he also played first violin in the tokio string quartet"
]
| he also played first violin in the tokyo string quartet | he also played first violin in the tokyo string quartet. | he also played first violin in the tokyo string quartet. he also played onest violin in the tokyo string quartet. he also played first violin in the tokio string quartet. he also played first violin in the tokio string quartet. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also played first violin in the tokyo string quartet', 'he also played first violin in the tokyo string quartet', 'he also played onest violin in the tokyo string quartet', 'he also played first violin in the tokio string quartet', 'he also played first violin in the tokio string quartet'] |
|
[
"decades later the same courses were removing popular stands wholesale",
"decades later the same courses were removing popular stands wholesale",
"decades later the same courses were removing popular stands wholesale",
"decades later the same courses were removing popular stands wholesale",
"decades later the same courses were removing popular stance wholesale"
]
| decades later the same courses were removing poplars stands wholesale | decades later the same courses were removing popular stands wholesale. | decades later the same courses were removing popular stands wholesale. decades later the same courses were removing popular stands wholesale. decades later the same courses were removing popular stands wholesale. decades later the same courses were removing popular stance wholesale. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['decades later the same courses were removing popular stands wholesale', 'decades later the same courses were removing popular stands wholesale', 'decades later the same courses were removing popular stands wholesale', 'decades later the same courses were removing popular stands wholesale', 'decades later the same courses were removing popular stance wholesale'] |
|
[
"almost all of the homes featured detached garages in the back of the property",
"almost all of the home is featured detached garages in the back of the property",
"almost all of the homes featured detached stair adders in the back of the property",
"almost all of the home is featured detached stair adders in the back of the property",
"almost all of the home is featured detached garage is in the back of the property"
]
| almost all of the homes feature detached garages in the back of the property | almost all of the homes featured detached garages in the back of the property. | almost all of the home is featured detached garages in the back of the property. almost all of the homes featured detached stair adders in the back of the property. almost all of the home is featured detached stair adders in the back of the property. almost all of the home is featured detached garage is in the back of the property. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['almost all of the homes featured detached garages in the back of the property', 'almost all of the home is featured detached garages in the back of the property', 'almost all of the homes featured detached stair adders in the back of the property', 'almost all of the home is featured detached stair adders in the back of the property', 'almost all of the home is featured detached garage is in the back of the property'] |
|
[
"you would be hard pressed to find two more apolitical people david michelson told them",
"yet be hard pressed to find two more apolitical people david michelson told them",
"you would be hard pressed to find two more apolitical people david michelson told them",
"yet be hard pressed to find two more apolitical people david michelson told them",
"you would be hard pressed to find two more apolitical people david michelson told them"
]
| you would be hard pressed to find two more apolitical people david mikkelson told them | you would be hard pressed to find two more apolitical people david michelson told them. | yet be hard pressed to find two more apolitical people david michelson told them. you would be hard pressed to find two more apolitical people david michelson told them. yet be hard pressed to find two more apolitical people david michelson told them. you would be hard pressed to find two more apolitical people david michelson told them. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you would be hard pressed to find two more apolitical people david michelson told them', 'yet be hard pressed to find two more apolitical people david michelson told them', 'you would be hard pressed to find two more apolitical people david michelson told them', 'yet be hard pressed to find two more apolitical people david michelson told them', 'you would be hard pressed to find two more apolitical people david michelson told them'] |
|
[
"the flesh is white to cream",
"the flesh is white to a cream",
"the flesh is white to the cream",
"the flesh is white to the cream",
"the flesh is white to the cream"
]
| the flesh is white to cream | the flesh is white to cream. | the flesh is white to a cream. the flesh is white to the cream. the flesh is white to the cream. the flesh is white to the cream. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the flesh is white to cream', 'the flesh is white to a cream', 'the flesh is white to the cream', 'the flesh is white to the cream', 'the flesh is white to the cream'] |
|
[
"the town gradually become administrative and economic center for the country",
"the town gradually become administrative and economic center for the country",
"the town gradually become administrative and economic center for the country",
"the town gradually become administrative and economic center for the country",
"the town gradually become a administrative and economic center for the country"
]
| the town gradually became an administrative and economic center for the country | the town gradually become administrative and economic center for the country. | the town gradually become administrative and economic center for the country. the town gradually become administrative and economic center for the country. the town gradually become administrative and economic center for the country. the town gradually become a administrative and economic center for the country. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the town gradually become administrative and economic center for the country', 'the town gradually become administrative and economic center for the country', 'the town gradually become administrative and economic center for the country', 'the town gradually become administrative and economic center for the country', 'the town gradually become a administrative and economic center for the country'] |
|
[
"it has a theme of chess as can be seen by the chak names",
"it has a theme of chess as can be seen by the track names",
"it has a theme of chess as can be seen by the chak names",
"it has a theme of chess as can be seen by the chuck names",
"it has a theme of chess as can be seen by the chalk names"
]
| it has a theme of chess as can be seen by the track names | it has a theme of chess as can be seen by the chak names. | it has a theme of chess as can be seen by the track names. it has a theme of chess as can be seen by the chak names. it has a theme of chess as can be seen by the chuck names. it has a theme of chess as can be seen by the chalk names. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has a theme of chess as can be seen by the chak names', 'it has a theme of chess as can be seen by the track names', 'it has a theme of chess as can be seen by the chak names', 'it has a theme of chess as can be seen by the chuck names', 'it has a theme of chess as can be seen by the chalk names'] |
|
[
"bowie was hit hard by the great depression like everywhere else",
"bowie was hit hard by the great depression like everywhere else",
"bowie was hit hard by the great depression like everywhere else",
"bowie was hit hard by the great depression like everywhere else",
"bowie was hit hard by the great depression like everywhere else"
]
| bowie was hit hard by the great depression like everywhere else | bowie was hit hard by the great depression like everywhere else. | bowie was hit hard by the great depression like everywhere else. bowie was hit hard by the great depression like everywhere else. bowie was hit hard by the great depression like everywhere else. bowie was hit hard by the great depression like everywhere else. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bowie was hit hard by the great depression like everywhere else', 'bowie was hit hard by the great depression like everywhere else', 'bowie was hit hard by the great depression like everywhere else', 'bowie was hit hard by the great depression like everywhere else', 'bowie was hit hard by the great depression like everywhere else'] |
|
[
"i will not continue in this capacity for many years",
"we will not continue in this capacity for many years",
"i will not continue in this capacity for many years",
"i will not continue in this capacity for many years",
"i will not continue this capacity for many years"
]
| alma continued in this capacity for many years | i will not continue in this capacity for many years. | we will not continue in this capacity for many years. i will not continue in this capacity for many years. i will not continue in this capacity for many years. i will not continue this capacity for many years. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i will not continue in this capacity for many years', 'we will not continue in this capacity for many years', 'i will not continue in this capacity for many years', 'i will not continue in this capacity for many years', 'i will not continue this capacity for many years'] |
|
[
"the girls capacity softball team has won three state championships",
"the girls varsity softball team has won three state championships",
"the girls obesity softball team has won three state championships",
"the girls capacity softball team has won three state championships",
"the girls obesity softball team has won three state championships"
]
| the girls varsity softball team has won three state championships | the girls capacity softball team has won three state championships. | the girls varsity softball team has won three state championships. the girls obesity softball team has won three state championships. the girls capacity softball team has won three state championships. the girls obesity softball team has won three state championships. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the girls capacity softball team has won three state championships', 'the girls varsity softball team has won three state championships', 'the girls obesity softball team has won three state championships', 'the girls capacity softball team has won three state championships', 'the girls obesity softball team has won three state championships'] |
|
[
"link should be born in philadelphia",
"link is withdrawn and fill it up here",
"then switch on and fill it off here",
"then switch on and fill it up here",
"links with warning fill it up here"
]
| lynch was born in philadelphia | link should be born in philadelphia. | link is withdrawn and fill it up here. then switch on and fill it off here. then switch on and fill it up here. links with warning fill it up here. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['link should be born in philadelphia', 'link is withdrawn and fill it up here', 'then switch on and fill it off here', 'then switch on and fill it up here', 'links with warning fill it up here'] |
|
[
"she would be howled out of that vessel",
"she would be howled out of that nation",
"she would be hailed out of that nation",
"she would be hailed out of that vessel",
"she would be howled out of that muscle"
]
| she would be howled out of the classroom | she would be howled out of that vessel. | she would be howled out of that nation. she would be hailed out of that nation. she would be hailed out of that vessel. she would be howled out of that muscle. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she would be howled out of that vessel', 'she would be howled out of that nation', 'she would be hailed out of that nation', 'she would be hailed out of that vessel', 'she would be howled out of that muscle'] |
|
[
"the third vulnerability is the decline in japan is forming population",
"the third vulnerability is that decline in japan is forming population",
"the third vulnerability is the decline in japan is farming population",
"the threerd vulnerability is the decline in japan is forming population",
"the third vulnerability is the decline in japan is forming population"
]
| the third vulnerability is the decline in japan is farming population | the third vulnerability is the decline in japan is forming population. | the third vulnerability is that decline in japan is forming population. the third vulnerability is the decline in japan is farming population. the threerd vulnerability is the decline in japan is forming population. the third vulnerability is the decline in japan is forming population. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the third vulnerability is the decline in japan is forming population', 'the third vulnerability is that decline in japan is forming population', 'the third vulnerability is the decline in japan is farming population', 'the threerd vulnerability is the decline in japan is forming population', 'the third vulnerability is the decline in japan is forming population'] |
|
[
"so he decides to put another dog to sleep",
"so he decides to put another dog to sleep",
"so he decides to put another dog to sleep",
"so he decides to put another dog to sleep",
"so he decides to put another dog to sleep"
]
| so he decides to put another dog to sleep | so he decides to put another dog to sleep. | so he decides to put another dog to sleep. so he decides to put another dog to sleep. so he decides to put another dog to sleep. so he decides to put another dog to sleep. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so he decides to put another dog to sleep', 'so he decides to put another dog to sleep', 'so he decides to put another dog to sleep', 'so he decides to put another dog to sleep', 'so he decides to put another dog to sleep'] |
|
[
"when they returned the brown shirts were gristered",
"when they returned the brown shirts were garrisoned",
"when they returned the brown shirts were gristened",
"when they returned the brown shirts were graced in",
"when they returned the brown shirts were gristered"
]
| when they returned the brownshirts were arrested | when they returned the brown shirts were gristered. | when they returned the brown shirts were garrisoned. when they returned the brown shirts were gristened. when they returned the brown shirts were graced in. when they returned the brown shirts were gristered. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when they returned the brown shirts were gristered', 'when they returned the brown shirts were garrisoned', 'when they returned the brown shirts were gristened', 'when they returned the brown shirts were graced in', 'when they returned the brown shirts were gristered'] |
|
[
"in addition using the restroom stretching or taking a picture is not a violation",
"in addition using the rest room stretching or taking a picture is not a violation",
"in addition using the restroom stretching or taking a picture is not evaluation",
"in addition using the restroom stretching or taking a picture is not a violation",
"in addition using the restroom stretching or taking a picture is not a violation"
]
| in addition using the restroom stretching or taking a picture is not a violation | in addition using the restroom stretching or taking a picture is not a violation. | in addition using the rest room stretching or taking a picture is not a violation. in addition using the restroom stretching or taking a picture is not evaluation. in addition using the restroom stretching or taking a picture is not a violation. in addition using the restroom stretching or taking a picture is not a violation. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in addition using the restroom stretching or taking a picture is not a violation', 'in addition using the rest room stretching or taking a picture is not a violation', 'in addition using the restroom stretching or taking a picture is not evaluation', 'in addition using the restroom stretching or taking a picture is not a violation', 'in addition using the restroom stretching or taking a picture is not a violation'] |
|
[
"bambara called her writing upbeat fiction",
"bhambara called her writing upbeat fiction",
"bambhara called her writing upbeat fiction",
"bambara called her writing a beat fiction",
"bambara called her writing a beat fiction"
]
| bambara called her writing upbeat fiction | bambara called her writing upbeat fiction. | bhambara called her writing upbeat fiction. bambhara called her writing upbeat fiction. bambara called her writing a beat fiction. bambara called her writing a beat fiction. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bambara called her writing upbeat fiction', 'bhambara called her writing upbeat fiction', 'bambhara called her writing upbeat fiction', 'bambara called her writing a beat fiction', 'bambara called her writing a beat fiction'] |
|
[
"in the process you become manager for dwells eight signing of this season",
"in the process you become manager for dress eight signing of this season",
"in the process you become manager for dwells eight signing of this season",
"in the process you become manager for dwell is eight signings of this season",
"in the process you become manager paul dwell is eight signing of this season"
]
| in the process he became manager paul jewell is eighth signing of the season | in the process you become manager for dwells eight signing of this season. | in the process you become manager for dress eight signing of this season. in the process you become manager for dwells eight signing of this season. in the process you become manager for dwell is eight signings of this season. in the process you become manager paul dwell is eight signing of this season. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the process you become manager for dwells eight signing of this season', 'in the process you become manager for dress eight signing of this season', 'in the process you become manager for dwells eight signing of this season', 'in the process you become manager for dwell is eight signings of this season', 'in the process you become manager paul dwell is eight signing of this season'] |
|
[
"anthony had several hours of acute and sterling panic",
"anthony had several hours of acute and sterling panic",
"anthony had several laws of acute and sterling panic",
"anthony had several laws of acute and sterling panic",
"anthony had had several hours of acute and sterling panic"
]
| anthony had had several hours of acute and startling panic | anthony had several hours of acute and sterling panic. | anthony had several hours of acute and sterling panic. anthony had several laws of acute and sterling panic. anthony had several laws of acute and sterling panic. anthony had had several hours of acute and sterling panic. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['anthony had several hours of acute and sterling panic', 'anthony had several hours of acute and sterling panic', 'anthony had several laws of acute and sterling panic', 'anthony had several laws of acute and sterling panic', 'anthony had had several hours of acute and sterling panic'] |
|
[
"which takes his ideas into regions that have strong moral implications",
"which takes his ideas into regions that have strong moral and political issues",
"which takes his ideas into regions that have strong moral and political tastes",
"takes his ideas into regions that have strong moral and political issues",
"takes his ideas into regions that have strong moral implications"
]
| winch takes his ideas into regions that have strong moral and political implications | which takes his ideas into regions that have strong moral implications. | which takes his ideas into regions that have strong moral and political issues. which takes his ideas into regions that have strong moral and political tastes. takes his ideas into regions that have strong moral and political issues. takes his ideas into regions that have strong moral implications. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['which takes his ideas into regions that have strong moral implications', 'which takes his ideas into regions that have strong moral and political issues', 'which takes his ideas into regions that have strong moral and political tastes', 'takes his ideas into regions that have strong moral and political issues', 'takes his ideas into regions that have strong moral implications'] |
|
[
"she was built as a guest celebrity contributor by the martin report",
"she was built as a guest celebrity contributor by the morton report",
"she was built as a guest celebrity contributor by the martin report",
"she was built as a guest celebrity contributor by the morton report",
"she was built as a guest celebrity contributor by the morton report"
]
| she was billed as a guest celebrity contributor by the morton report | she was built as a guest celebrity contributor by the martin report. | she was built as a guest celebrity contributor by the morton report. she was built as a guest celebrity contributor by the martin report. she was built as a guest celebrity contributor by the morton report. she was built as a guest celebrity contributor by the morton report. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she was built as a guest celebrity contributor by the martin report', 'she was built as a guest celebrity contributor by the morton report', 'she was built as a guest celebrity contributor by the martin report', 'she was built as a guest celebrity contributor by the morton report', 'she was built as a guest celebrity contributor by the morton report'] |
|
[
"there are ruins all around for a distance of some hundred years",
"there are ruins all round for a distance of some hundred years",
"there are ruins all around for a distance of some hundred year",
"there are ruins all round for a distance of some hundred year",
"there are ruins all around for a distance of some hundred"
]
| there are ruins all round for a distance of some hundred yards | there are ruins all around for a distance of some hundred years. | there are ruins all round for a distance of some hundred years. there are ruins all around for a distance of some hundred year. there are ruins all round for a distance of some hundred year. there are ruins all around for a distance of some hundred. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are ruins all around for a distance of some hundred years', 'there are ruins all round for a distance of some hundred years', 'there are ruins all around for a distance of some hundred year', 'there are ruins all round for a distance of some hundred year', 'there are ruins all around for a distance of some hundred'] |
|
[
"also kate street is named for him",
"also kate street is named for him",
"also cate street is named for him",
"also kate street is named for him",
"also kate street is named for him"
]
| also cate street is named for him | also kate street is named for him. | also kate street is named for him. also cate street is named for him. also kate street is named for him. also kate street is named for him. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also kate street is named for him', 'also kate street is named for him', 'also cate street is named for him', 'also kate street is named for him', 'also kate street is named for him'] |
|
[
"the controversy of dumb building mirrored that concerning globalization",
"the controversy of dumb building mereth that concerning globalization",
"the controversy of dumbbelling mereth that concerning globalization",
"the controversy of dumb building mereth that concerning globalization",
"the controversy of dam building mereth that concerning globalization"
]
| the controversy of dam building mirrors that concerning globalization | the controversy of dumb building mirrored that concerning globalization. | the controversy of dumb building mereth that concerning globalization. the controversy of dumbbelling mereth that concerning globalization. the controversy of dumb building mereth that concerning globalization. the controversy of dam building mereth that concerning globalization. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the controversy of dumb building mirrored that concerning globalization', 'the controversy of dumb building mereth that concerning globalization', 'the controversy of dumbbelling mereth that concerning globalization', 'the controversy of dumb building mereth that concerning globalization', 'the controversy of dam building mereth that concerning globalization'] |
|
[
"the interior floor is somewhat irregular and lacks a central peak at the midpoint",
"the interior floor is somewhat irregular and lacks a central peak at the mid point",
"the interior floor is somewhat irregular and lacks a central peak at the midpoint",
"the interior floor is somewhat irregular and lacks a center of peak at the midpoint",
"the interior floor is somewhat irregular and lacks a center of peak at the midpoint"
]
| the interior floor is somewhat irregular and lacks a central peak at the midpoint | the interior floor is somewhat irregular and lacks a central peak at the midpoint. | the interior floor is somewhat irregular and lacks a central peak at the mid point. the interior floor is somewhat irregular and lacks a central peak at the midpoint. the interior floor is somewhat irregular and lacks a center of peak at the midpoint. the interior floor is somewhat irregular and lacks a center of peak at the midpoint. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the interior floor is somewhat irregular and lacks a central peak at the midpoint', 'the interior floor is somewhat irregular and lacks a central peak at the mid point', 'the interior floor is somewhat irregular and lacks a central peak at the midpoint', 'the interior floor is somewhat irregular and lacks a center of peak at the midpoint', 'the interior floor is somewhat irregular and lacks a center of peak at the midpoint'] |
|
[
"its motto is in cardboard robot nostril letting forth all strength in core",
"its motto is in cardboard robot nostril letting forth all strength in core",
"its motto is in cardboard robot nostril letting forth all strength in code",
"its motto is in cardboard robot nostril letting forth all strength in coal",
"its motto is in cardboard robot nostril letting forth all strength in code"
]
| its motto is in carbone robur nostrum latin for our strength in coal | its motto is in cardboard robot nostril letting forth all strength in core. | its motto is in cardboard robot nostril letting forth all strength in core. its motto is in cardboard robot nostril letting forth all strength in code. its motto is in cardboard robot nostril letting forth all strength in coal. its motto is in cardboard robot nostril letting forth all strength in code. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its motto is in cardboard robot nostril letting forth all strength in core', 'its motto is in cardboard robot nostril letting forth all strength in core', 'its motto is in cardboard robot nostril letting forth all strength in code', 'its motto is in cardboard robot nostril letting forth all strength in coal', 'its motto is in cardboard robot nostril letting forth all strength in code'] |
|
[
"the mother and sister of current international football player romeo castelen were also killed",
"the mother and sister of current international football player romeo castellan were also killed",
"the mother and sister of current international football player romeo castelene were also killed",
"the mother and sister of current international football player romeo castolin were also killed",
"the mother and sister of current international football player romeo castelin were also killed"
]
| the mother and sister of current international football player romeo castelen were also killed | the mother and sister of current international football player romeo castelen were also killed. | the mother and sister of current international football player romeo castellan were also killed. the mother and sister of current international football player romeo castelene were also killed. the mother and sister of current international football player romeo castolin were also killed. the mother and sister of current international football player romeo castelin were also killed. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mother and sister of current international football player romeo castelen were also killed', 'the mother and sister of current international football player romeo castellan were also killed', 'the mother and sister of current international football player romeo castelene were also killed', 'the mother and sister of current international football player romeo castolin were also killed', 'the mother and sister of current international football player romeo castelin were also killed'] |
|
[
"to speed up execution some runtime systems featured just in time compilation to machine code",
"to speed up execution some runtime systems feature just in time compilation to machine code",
"to speed up execution some runtime systems featured just in time compilation to machine code",
"to speed up execution some runtime systems featured just in time compilation to machine code",
"to speed up execution some runtime systems featured just in time compilation to machine code"
]
| to speed up execution some runtime systems feature just in time compilation to machine code | to speed up execution some runtime systems featured just in time compilation to machine code. | to speed up execution some runtime systems feature just in time compilation to machine code. to speed up execution some runtime systems featured just in time compilation to machine code. to speed up execution some runtime systems featured just in time compilation to machine code. to speed up execution some runtime systems featured just in time compilation to machine code. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to speed up execution some runtime systems featured just in time compilation to machine code', 'to speed up execution some runtime systems feature just in time compilation to machine code', 'to speed up execution some runtime systems featured just in time compilation to machine code', 'to speed up execution some runtime systems featured just in time compilation to machine code', 'to speed up execution some runtime systems featured just in time compilation to machine code'] |
|
[
"the work for which he is best known established the three dimensionality of molecular geometry",
"the work for which he is best known established the three dimensionality of molecular geometry",
"the work for which he is best known established the three dimensionality of molecular geometry",
"the work for which he is best known established the three dimensionality of molecular geometry",
"the work for which he is best known established the three dimensionality of molecular geometry"
]
| the work for which he is best known established the three dimensionality of molecular geometry | the work for which he is best known established the three dimensionality of molecular geometry. | the work for which he is best known established the three dimensionality of molecular geometry. the work for which he is best known established the three dimensionality of molecular geometry. the work for which he is best known established the three dimensionality of molecular geometry. the work for which he is best known established the three dimensionality of molecular geometry. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the work for which he is best known established the three dimensionality of molecular geometry', 'the work for which he is best known established the three dimensionality of molecular geometry', 'the work for which he is best known established the three dimensionality of molecular geometry', 'the work for which he is best known established the three dimensionality of molecular geometry', 'the work for which he is best known established the three dimensionality of molecular geometry'] |
|
[
"this defeat marked a sharp division in history of argentina",
"this defeat marked a sharp division in the history of argentina",
"this defeat marked a sharp division in the history of argentina",
"this defeat marked a sharp division in history of argentina",
"this defeat marked a sharp division in the history of argentina"
]
| this defeat marked a sharp division in the history of argentina | this defeat marked a sharp division in history of argentina. | this defeat marked a sharp division in the history of argentina. this defeat marked a sharp division in the history of argentina. this defeat marked a sharp division in history of argentina. this defeat marked a sharp division in the history of argentina. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this defeat marked a sharp division in history of argentina', 'this defeat marked a sharp division in the history of argentina', 'this defeat marked a sharp division in the history of argentina', 'this defeat marked a sharp division in history of argentina', 'this defeat marked a sharp division in the history of argentina'] |
|
[
"the reform party campaigned on a policy of not compromising with catholics",
"the reform party campaigned on a policy of not compromising with catholics",
"the reformed party campaigned on a policy of not compromising with catholics",
"the reformed party campaigned on a policy of not compromising with catholics",
"the reformed party campaigned on a policy of not compromising with catholics"
]
| the reform party campaigned on a policy of not compromising with catholics | the reform party campaigned on a policy of not compromising with catholics. | the reform party campaigned on a policy of not compromising with catholics. the reformed party campaigned on a policy of not compromising with catholics. the reformed party campaigned on a policy of not compromising with catholics. the reformed party campaigned on a policy of not compromising with catholics. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the reform party campaigned on a policy of not compromising with catholics', 'the reform party campaigned on a policy of not compromising with catholics', 'the reformed party campaigned on a policy of not compromising with catholics', 'the reformed party campaigned on a policy of not compromising with catholics', 'the reformed party campaigned on a policy of not compromising with catholics'] |
|
[
"the world was considered from an anthropocentric perspective",
"the world was considered from an anthroprocentric perspective",
"the world was considered from an anthroprocentric perspective",
"the world was considered from an anthroprocentric perspective",
"the world was considered from an anthroprocentric perspective"
]
| the world was considered from an anthropocentric perspective | the world was considered from an anthropocentric perspective. | the world was considered from an anthroprocentric perspective. the world was considered from an anthroprocentric perspective. the world was considered from an anthroprocentric perspective. the world was considered from an anthroprocentric perspective. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the world was considered from an anthropocentric perspective', 'the world was considered from an anthroprocentric perspective', 'the world was considered from an anthroprocentric perspective', 'the world was considered from an anthroprocentric perspective', 'the world was considered from an anthroprocentric perspective'] |
|
[
"and yet upstairs the atmosphere among them was always jolly and clear",
"and yet upstairs the atmosphere among them was always jolly and clear",
"and yet upstairs the atmosphere among them was always jolly and clear",
"yet upstairs the atmosphere among them was always jolly and clear",
"and yet upstairs the atmosphere among them was always totally clear"
]
| and yet upstairs the atmosphere among them was always jolly and clear | and yet upstairs the atmosphere among them was always jolly and clear. | and yet upstairs the atmosphere among them was always jolly and clear. and yet upstairs the atmosphere among them was always jolly and clear. yet upstairs the atmosphere among them was always jolly and clear. and yet upstairs the atmosphere among them was always totally clear. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and yet upstairs the atmosphere among them was always jolly and clear', 'and yet upstairs the atmosphere among them was always jolly and clear', 'and yet upstairs the atmosphere among them was always jolly and clear', 'yet upstairs the atmosphere among them was always jolly and clear', 'and yet upstairs the atmosphere among them was always totally clear'] |
|
[
"production was handled by rob covallor and green day",
"production was handled by rob kovalor and green day",
"production was handled by rob covella and green day",
"production was handled by rob covalor and green day",
"production was handled by rob kovaler and green day"
]
| production was handled by rob cavallo and green day | production was handled by rob covallor and green day. | production was handled by rob kovalor and green day. production was handled by rob covella and green day. production was handled by rob covalor and green day. production was handled by rob kovaler and green day. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['production was handled by rob covallor and green day', 'production was handled by rob kovalor and green day', 'production was handled by rob covella and green day', 'production was handled by rob covalor and green day', 'production was handled by rob kovaler and green day'] |
|
[
"however aim point electronic optical sites are still allowed",
"however aimpoint electronic optical sites are still allowed",
"however aim point electronic optical sites are still allowed",
"however aim point electronic optical sights are still allowed",
"however aimpoint electronic optical sights are still allowed"
]
| however aimpoint electronic optical sights are still allowed | however aim point electronic optical sites are still allowed. | however aimpoint electronic optical sites are still allowed. however aim point electronic optical sites are still allowed. however aim point electronic optical sights are still allowed. however aimpoint electronic optical sights are still allowed. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however aim point electronic optical sites are still allowed', 'however aimpoint electronic optical sites are still allowed', 'however aim point electronic optical sites are still allowed', 'however aim point electronic optical sights are still allowed', 'however aimpoint electronic optical sights are still allowed'] |
|
[
"wound infections also occur but are less common than seafood born disease",
"wound infections also occur but are less common than seafood borne disease",
"wound infections also occur but are less common than seafood born disease",
"wound infections also occur but are less common than seafood borne disease",
"wound infections also occur but are less common than seafood born disease"
]
| wound infections also occur but are less common than seafood borne disease | wound infections also occur but are less common than seafood born disease. | wound infections also occur but are less common than seafood borne disease. wound infections also occur but are less common than seafood born disease. wound infections also occur but are less common than seafood borne disease. wound infections also occur but are less common than seafood born disease. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['wound infections also occur but are less common than seafood born disease', 'wound infections also occur but are less common than seafood borne disease', 'wound infections also occur but are less common than seafood born disease', 'wound infections also occur but are less common than seafood borne disease', 'wound infections also occur but are less common than seafood born disease'] |
|
[
"it enjoyed the great success over the next decade",
"it enjoyed the grab success over the next decade",
"it enjoyed the great success or the next decade",
"it enjoyed the grab success or the next decade",
"it enjoyed the great success of the next decade"
]
| it enjoyed great success over the next decade | it enjoyed the great success over the next decade. | it enjoyed the grab success over the next decade. it enjoyed the great success or the next decade. it enjoyed the grab success or the next decade. it enjoyed the great success of the next decade. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it enjoyed the great success over the next decade', 'it enjoyed the grab success over the next decade', 'it enjoyed the great success or the next decade', 'it enjoyed the grab success or the next decade', 'it enjoyed the great success of the next decade'] |
|
[
"there is also a hot strong bus and collection of motorbikes",
"there is also a hot strong bus and collection of motor bikes",
"there is also a hot strong bus and collection of motorbikes",
"there is also a hot strong bus and collection of motor bikes",
"there is also a hot strong bus and collection of motorbikes"
]
| there is also a horse drawn bus and collection of motorbikes | there is also a hot strong bus and collection of motorbikes. | there is also a hot strong bus and collection of motor bikes. there is also a hot strong bus and collection of motorbikes. there is also a hot strong bus and collection of motor bikes. there is also a hot strong bus and collection of motorbikes. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is also a hot strong bus and collection of motorbikes', 'there is also a hot strong bus and collection of motor bikes', 'there is also a hot strong bus and collection of motorbikes', 'there is also a hot strong bus and collection of motor bikes', 'there is also a hot strong bus and collection of motorbikes'] |
|
[
"the following day they added all adopts comprising walkers percussion and handclips",
"the following day they added all adults comprising walkers percussion and handclips",
"the following day they added all adults comprising walkers percussion and handclips",
"the following day they added all adults comprising walkers percussion and handclips",
"the following day they added overdubs comprising walkers percussion and handclips"
]
| the following day they added overdubs comprising vocals percussion and handclaps | the following day they added all adopts comprising walkers percussion and handclips. | the following day they added all adults comprising walkers percussion and handclips. the following day they added all adults comprising walkers percussion and handclips. the following day they added all adults comprising walkers percussion and handclips. the following day they added overdubs comprising walkers percussion and handclips. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following day they added all adopts comprising walkers percussion and handclips', 'the following day they added all adults comprising walkers percussion and handclips', 'the following day they added all adults comprising walkers percussion and handclips', 'the following day they added all adults comprising walkers percussion and handclips', 'the following day they added overdubs comprising walkers percussion and handclips'] |
|
[
"he used his label as a front to smuggle goods inside his clothing",
"he used his label as a front to smuggle goods inside his clothing",
"he used his label as a front to smuggle goods inside his clothing",
"he used his label as a front to smuggle goods inside his clothing",
"he used his label as a front to smuggle goods inside his clothing"
]
| he used his label as a front to smuggle goods inside his clothing | he used his label as a front to smuggle goods inside his clothing. | he used his label as a front to smuggle goods inside his clothing. he used his label as a front to smuggle goods inside his clothing. he used his label as a front to smuggle goods inside his clothing. he used his label as a front to smuggle goods inside his clothing. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he used his label as a front to smuggle goods inside his clothing', 'he used his label as a front to smuggle goods inside his clothing', 'he used his label as a front to smuggle goods inside his clothing', 'he used his label as a front to smuggle goods inside his clothing', 'he used his label as a front to smuggle goods inside his clothing'] |
|
[
"it is now preserved and displayed at the museum of transport and greater manchester",
"it is now preserved in display at the museum of transport and greater manchester",
"it is now preserved and displayed at the museum of transport in greater manchester",
"it is now preserved and displayed at the museum of transport and greater manchester",
"it is now preserved and displayed at the museum of transport and greater manchester"
]
| it is now preserved and displayed at the museum of transport greater manchester | it is now preserved and displayed at the museum of transport and greater manchester. | it is now preserved in display at the museum of transport and greater manchester. it is now preserved and displayed at the museum of transport in greater manchester. it is now preserved and displayed at the museum of transport and greater manchester. it is now preserved and displayed at the museum of transport and greater manchester. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is now preserved and displayed at the museum of transport and greater manchester', 'it is now preserved in display at the museum of transport and greater manchester', 'it is now preserved and displayed at the museum of transport in greater manchester', 'it is now preserved and displayed at the museum of transport and greater manchester', 'it is now preserved and displayed at the museum of transport and greater manchester'] |
|
[
"for months the attempts to help were rebuffed by chairman terni lazar",
"for months the attempts to help were rebuffed by chairman terny lazar",
"for months the attempts to help were rebuffed by chairman terni lazware",
"for months there are times to hope we are rebuffed by chairman terny lazar",
"for months there are times to hope we are rebuffed by chairman terni lazar"
]
| for months their attempts to help were rebuffed by chairman tony lazarou | for months the attempts to help were rebuffed by chairman terni lazar. | for months the attempts to help were rebuffed by chairman terny lazar. for months the attempts to help were rebuffed by chairman terni lazware. for months there are times to hope we are rebuffed by chairman terny lazar. for months there are times to hope we are rebuffed by chairman terni lazar. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for months the attempts to help were rebuffed by chairman terni lazar', 'for months the attempts to help were rebuffed by chairman terny lazar', 'for months the attempts to help were rebuffed by chairman terni lazware', 'for months there are times to hope we are rebuffed by chairman terny lazar', 'for months there are times to hope we are rebuffed by chairman terni lazar'] |
|
[
"many are underage",
"many are underage",
"many are underage",
"many are underage",
"many are underage"
]
| many are underage | many are underage. | many are underage. many are underage. many are underage. many are underage. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many are underage', 'many are underage', 'many are underage', 'many are underage', 'many are underage'] |
|
[
"gonorrhea or chlamydia infections require both oral and topical antibiotics",
"gone areia or chlamydia infections require both oral and topical antibiotics",
"goneria or chlamydia infections require both oral and topical antibiotics",
"goneorea or chlamydia infections require both oral and topical antibiotics",
"gonorrhia or chlamydia infections require both oral and topical antibiotics"
]
| gonorrhea or chlamydia infections require both oral and topical antibiotics | gonorrhea or chlamydia infections require both oral and topical antibiotics. | gone areia or chlamydia infections require both oral and topical antibiotics. goneria or chlamydia infections require both oral and topical antibiotics. goneorea or chlamydia infections require both oral and topical antibiotics. gonorrhia or chlamydia infections require both oral and topical antibiotics. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['gonorrhea or chlamydia infections require both oral and topical antibiotics', 'gone areia or chlamydia infections require both oral and topical antibiotics', 'goneria or chlamydia infections require both oral and topical antibiotics', 'goneorea or chlamydia infections require both oral and topical antibiotics', 'gonorrhia or chlamydia infections require both oral and topical antibiotics'] |
|
[
"their victim of choice is an infant",
"their victim of choice is an infant",
"and their victim of choice is an infant",
"their victim of choice is an infant",
"their victim of choice is an infant"
]
| their victim of choice is an infant | their victim of choice is an infant. | their victim of choice is an infant. and their victim of choice is an infant. their victim of choice is an infant. their victim of choice is an infant. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['their victim of choice is an infant', 'their victim of choice is an infant', 'and their victim of choice is an infant', 'their victim of choice is an infant', 'their victim of choice is an infant'] |
|
[
"the mersey is version is more uptempered than the mccoy is throw crock original",
"the mersy is version is more uptempered than the mccoy is folk rock original",
"the mersey is version is more uptempered than the mccoy is throwcrack original",
"the merzzee is version is more uptempered than the mccoy is folk rock original",
"the mersey is version is more uptempered than the mccoy is throwcrock original"
]
| the merseys version is more up tempo than the mccoys folk rock original | the mersey is version is more uptempered than the mccoy is throw crock original. | the mersy is version is more uptempered than the mccoy is folk rock original. the mersey is version is more uptempered than the mccoy is throwcrack original. the merzzee is version is more uptempered than the mccoy is folk rock original. the mersey is version is more uptempered than the mccoy is throwcrock original. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mersey is version is more uptempered than the mccoy is throw crock original', 'the mersy is version is more uptempered than the mccoy is folk rock original', 'the mersey is version is more uptempered than the mccoy is throwcrack original', 'the merzzee is version is more uptempered than the mccoy is folk rock original', 'the mersey is version is more uptempered than the mccoy is throwcrock original'] |
|
[
"this is in rural communities get affordable services connecting them to the world",
"this is in rural communities get affordable services connecting them to the world",
"this is in royal communities get affordable services connecting them to the world",
"this is in world communities get affordable services connecting them to the world",
"this is in rural communities get affordable services connecting them to the world"
]
| users in rural communities get affordable services connecting them to the world | this is in rural communities get affordable services connecting them to the world. | this is in rural communities get affordable services connecting them to the world. this is in royal communities get affordable services connecting them to the world. this is in world communities get affordable services connecting them to the world. this is in rural communities get affordable services connecting them to the world. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is in rural communities get affordable services connecting them to the world', 'this is in rural communities get affordable services connecting them to the world', 'this is in royal communities get affordable services connecting them to the world', 'this is in world communities get affordable services connecting them to the world', 'this is in rural communities get affordable services connecting them to the world'] |
|
[
"he read in silence motionless",
"he read and silent motionless",
"he red and silent motionless",
"he read in silence motionless",
"he read in silent motionless"
]
| he read in silence motionless | he read in silence motionless. | he read and silent motionless. he red and silent motionless. he read in silence motionless. he read in silent motionless. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he read in silence motionless', 'he read and silent motionless', 'he red and silent motionless', 'he read in silence motionless', 'he read in silent motionless'] |
|
[
"his siblings include a key pitman a longtime united states senator from nevada",
"his siblings include a key pitman a long time united states senator from nevada",
"his siblings include a key pitman a long time united states senator from nevada",
"his siblings include a key pitman a longtime united states senator from nevada",
"his siblings include a key pitman a long time united states senator from nevada"
]
| his siblings included key pittman a longtime united states senator from nevada | his siblings include a key pitman a longtime united states senator from nevada. | his siblings include a key pitman a long time united states senator from nevada. his siblings include a key pitman a long time united states senator from nevada. his siblings include a key pitman a longtime united states senator from nevada. his siblings include a key pitman a long time united states senator from nevada. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his siblings include a key pitman a longtime united states senator from nevada', 'his siblings include a key pitman a long time united states senator from nevada', 'his siblings include a key pitman a long time united states senator from nevada', 'his siblings include a key pitman a longtime united states senator from nevada', 'his siblings include a key pitman a long time united states senator from nevada'] |
|
[
"there has been a history of bushfires in the area",
"there has been a history of pushfires in the area",
"there has been a history of bushfires in the area",
"there has been a history of bushfires in the area",
"there has been a history of push fires in the area"
]
| there has been a history of bushfires in the area | there has been a history of bushfires in the area. | there has been a history of pushfires in the area. there has been a history of bushfires in the area. there has been a history of bushfires in the area. there has been a history of push fires in the area. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there has been a history of bushfires in the area', 'there has been a history of pushfires in the area', 'there has been a history of bushfires in the area', 'there has been a history of bushfires in the area', 'there has been a history of push fires in the area'] |
|
[
"the district was originally inhabited by the nguyambha averginis",
"the district was originally inhabited by the miyambar averginis",
"the district was originally inhabited by the nagiyamba averginis",
"the district was originally inhabited by the nukiyamba averginis",
"the district was originally inhabited by the giyamba averginis"
]
| the district was originally inhabited by the ngiyambaa aborigines | the district was originally inhabited by the nguyambha averginis. | the district was originally inhabited by the miyambar averginis. the district was originally inhabited by the nagiyamba averginis. the district was originally inhabited by the nukiyamba averginis. the district was originally inhabited by the giyamba averginis. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the district was originally inhabited by the nguyambha averginis', 'the district was originally inhabited by the miyambar averginis', 'the district was originally inhabited by the nagiyamba averginis', 'the district was originally inhabited by the nukiyamba averginis', 'the district was originally inhabited by the giyamba averginis'] |
|
[
"the extra name gestures was likely to distinguish him from his master jesus christ",
"the extra name jester was likely to distinguish him from his master jesus christ",
"the extra named gestures was likely to distinguish him from his master jesus christ",
"the extra name jester was likely to distinguish him from his master jesus christ",
"the extra name gestures was likely to distinguish him from his master jesus christ"
]
| the extra name justus was likely to distinguish him from his master jesus christ | the extra name gestures was likely to distinguish him from his master jesus christ. | the extra name jester was likely to distinguish him from his master jesus christ. the extra named gestures was likely to distinguish him from his master jesus christ. the extra name jester was likely to distinguish him from his master jesus christ. the extra name gestures was likely to distinguish him from his master jesus christ. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the extra name gestures was likely to distinguish him from his master jesus christ', 'the extra name jester was likely to distinguish him from his master jesus christ', 'the extra named gestures was likely to distinguish him from his master jesus christ', 'the extra name jester was likely to distinguish him from his master jesus christ', 'the extra name gestures was likely to distinguish him from his master jesus christ'] |
|
[
"diverticular disease was found associated with a high risk of left sided colon cancer",
"diabeticular disease was found associated with a high risk of left sided colon cancer",
"diverticular disease was found associated with the high risk of left sided colon cancer",
"the diverticular disease was found associated with a high risk of left sided colon cancer",
"diivanticular disease was found associated with a high risk of left sided colon cancer"
]
| diverticular disease was found associated with a higher risk of left sided colon cancer | diverticular disease was found associated with a high risk of left sided colon cancer. | diabeticular disease was found associated with a high risk of left sided colon cancer. diverticular disease was found associated with the high risk of left sided colon cancer. the diverticular disease was found associated with a high risk of left sided colon cancer. diivanticular disease was found associated with a high risk of left sided colon cancer. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['diverticular disease was found associated with a high risk of left sided colon cancer', 'diabeticular disease was found associated with a high risk of left sided colon cancer', 'diverticular disease was found associated with the high risk of left sided colon cancer', 'the diverticular disease was found associated with a high risk of left sided colon cancer', 'diivanticular disease was found associated with a high risk of left sided colon cancer'] |
|
[
"occasionally a tie between two oomo teams occurs requiring a tie break",
"occasionally a tie between two umo teams occurs requiring a tie break",
"occasionally a tie between two umo teams occurs requiring a tie break",
"occasionally a tie between two umo teams occurs requiring a tie break",
"occasionally a tie between two umoteems occurs requiring a tie break"
]
| occasionally a tie between two or more teams occurs requiring a tie break | occasionally a tie between two oomo teams occurs requiring a tie break. | occasionally a tie between two umo teams occurs requiring a tie break. occasionally a tie between two umo teams occurs requiring a tie break. occasionally a tie between two umo teams occurs requiring a tie break. occasionally a tie between two umoteems occurs requiring a tie break. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['occasionally a tie between two oomo teams occurs requiring a tie break', 'occasionally a tie between two umo teams occurs requiring a tie break', 'occasionally a tie between two umo teams occurs requiring a tie break', 'occasionally a tie between two umo teams occurs requiring a tie break', 'occasionally a tie between two umoteems occurs requiring a tie break'] |
|
[
"she is the daughter of sir bernard waley cohen baronet",
"she is the daughter of sir bernard waley cohen baronit",
"she is the daughter of sir bernard waley cohen baronnet",
"she is the daughter of sir bernard whaley cohen baronet",
"she is the daughter of sir bernard whaley cohen baronit"
]
| she is the daughter of sir bernard waley cohen baronet | she is the daughter of sir bernard waley cohen baronet. | she is the daughter of sir bernard waley cohen baronit. she is the daughter of sir bernard waley cohen baronnet. she is the daughter of sir bernard whaley cohen baronet. she is the daughter of sir bernard whaley cohen baronit. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is the daughter of sir bernard waley cohen baronet', 'she is the daughter of sir bernard waley cohen baronit', 'she is the daughter of sir bernard waley cohen baronnet', 'she is the daughter of sir bernard whaley cohen baronet', 'she is the daughter of sir bernard whaley cohen baronit'] |
|
[
"they were the first trustees of what is now the aslisbury grammar school foundation",
"they were the first trustees of what is now the aslasbury grammar school foundation",
"they were the first trustees of what is now the aselessbury grammar school foundation",
"they were the first trustees of what is now the asselessbury grammar school foundation",
"they were the first trustees of what is now the asselisbury grammar school foundation"
]
| they were the first trustees of what is now the aylesbury grammar school foundation | they were the first trustees of what is now the aslisbury grammar school foundation. | they were the first trustees of what is now the aslasbury grammar school foundation. they were the first trustees of what is now the aselessbury grammar school foundation. they were the first trustees of what is now the asselessbury grammar school foundation. they were the first trustees of what is now the asselisbury grammar school foundation. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they were the first trustees of what is now the aslisbury grammar school foundation', 'they were the first trustees of what is now the aslasbury grammar school foundation', 'they were the first trustees of what is now the aselessbury grammar school foundation', 'they were the first trustees of what is now the asselessbury grammar school foundation', 'they were the first trustees of what is now the asselisbury grammar school foundation'] |
|
[
"livingston uses a managed accounts system of government",
"livingston uses a managed conscious system of government",
"livingston uses a managed economy system of government",
"livingston uses a managed council system of government",
"livingston uses a managed accounting system of government"
]
| livingston uses a manager council system of government | livingston uses a managed accounts system of government. | livingston uses a managed conscious system of government. livingston uses a managed economy system of government. livingston uses a managed council system of government. livingston uses a managed accounting system of government. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['livingston uses a managed accounts system of government', 'livingston uses a managed conscious system of government', 'livingston uses a managed economy system of government', 'livingston uses a managed council system of government', 'livingston uses a managed accounting system of government'] |
|
[
"he died one year later and thus his discovery remained obscure",
"he died one year later and thus his discovery remained obscure",
"he died one year later and thus his discovery remained obscure",
"he died one year later and thus his discovery remained obscure",
"he died one year later and thus his discovery remained obscure"
]
| he died one year later and thus his discovery remained obscure | he died one year later and thus his discovery remained obscure. | he died one year later and thus his discovery remained obscure. he died one year later and thus his discovery remained obscure. he died one year later and thus his discovery remained obscure. he died one year later and thus his discovery remained obscure. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he died one year later and thus his discovery remained obscure', 'he died one year later and thus his discovery remained obscure', 'he died one year later and thus his discovery remained obscure', 'he died one year later and thus his discovery remained obscure', 'he died one year later and thus his discovery remained obscure'] |
|
[
"according to these javacious and protesious with the twin sons of martyrs",
"according to these javacious and protesious with the twin sons of martyrs",
"according to these jevacious and protesious with the twin sons of martyrs",
"according to these javacious and protesius with the twin sons of martyrs",
"according to these javasias and protesias with the twin sons of martyrs"
]
| according to these gervasius and protasius were the twin sons of martyrs | according to these javacious and protesious with the twin sons of martyrs. | according to these javacious and protesious with the twin sons of martyrs. according to these jevacious and protesious with the twin sons of martyrs. according to these javacious and protesius with the twin sons of martyrs. according to these javasias and protesias with the twin sons of martyrs. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to these javacious and protesious with the twin sons of martyrs', 'according to these javacious and protesious with the twin sons of martyrs', 'according to these jevacious and protesious with the twin sons of martyrs', 'according to these javacious and protesius with the twin sons of martyrs', 'according to these javasias and protesias with the twin sons of martyrs'] |
|
[
"it did also however mean better surprise and training reached the crew",
"it did also however mean better surprise and training reached the crew",
"it did also however mean better surprise and training reach the crew",
"it did also however mean better surprise and training reach the crew",
"it did also however mean better surprise and training reached the crew"
]
| it did also however mean better supplies and training reached the crew | it did also however mean better surprise and training reached the crew. | it did also however mean better surprise and training reached the crew. it did also however mean better surprise and training reach the crew. it did also however mean better surprise and training reach the crew. it did also however mean better surprise and training reached the crew. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it did also however mean better surprise and training reached the crew', 'it did also however mean better surprise and training reached the crew', 'it did also however mean better surprise and training reach the crew', 'it did also however mean better surprise and training reach the crew', 'it did also however mean better surprise and training reached the crew'] |
|
[
"createments have not generally been evaluated clinically",
"creements have not generally been evaluated clinically",
"createmons have not generally been evaluated clinically",
"creedments have not generally been evaluated clinically",
"crete months have not generally been evaluated clinically"
]
| treatments have not generally been evaluated clinically | createments have not generally been evaluated clinically. | creements have not generally been evaluated clinically. createmons have not generally been evaluated clinically. creedments have not generally been evaluated clinically. crete months have not generally been evaluated clinically. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['createments have not generally been evaluated clinically', 'creements have not generally been evaluated clinically', 'createmons have not generally been evaluated clinically', 'creedments have not generally been evaluated clinically', 'crete months have not generally been evaluated clinically'] |
|
[
"so this is the main campus of anno university",
"so this is the main campus of anna university",
"so it is the main campus of anno university",
"so it is the main campus of anna university",
"so this is the main campus of anno university"
]
| it serves as the main campus of anna university | so this is the main campus of anno university. | so this is the main campus of anna university. so it is the main campus of anno university. so it is the main campus of anna university. so this is the main campus of anno university. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so this is the main campus of anno university', 'so this is the main campus of anna university', 'so it is the main campus of anno university', 'so it is the main campus of anna university', 'so this is the main campus of anno university'] |
|
[
"the municipality is located on the slope of mullen drums",
"the municipality is located on the slope of mullin drums",
"the municipality is located on the slope of mollandruns",
"the municipality is located on the slope of mullen drugs",
"the municipality is located on the slope of moline drums"
]
| the municipality is located on the slope of the mollendruz | the municipality is located on the slope of mullen drums. | the municipality is located on the slope of mullin drums. the municipality is located on the slope of mollandruns. the municipality is located on the slope of mullen drugs. the municipality is located on the slope of moline drums. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the municipality is located on the slope of mullen drums', 'the municipality is located on the slope of mullin drums', 'the municipality is located on the slope of mollandruns', 'the municipality is located on the slope of mullen drugs', 'the municipality is located on the slope of moline drums'] |
|
[
"also the player plays mini games with red green and blue cooper kit",
"also the player plays mini games with red green and blue cooper kit",
"also the player plays mini games with red green and blue cooper kit",
"also the player plays mini games with red green and blue cuperkit",
"also the player plays mini games with red green and blue cuba kit"
]
| also the player plays minigames with red green and blue koopa kid | also the player plays mini games with red green and blue cooper kit. | also the player plays mini games with red green and blue cooper kit. also the player plays mini games with red green and blue cooper kit. also the player plays mini games with red green and blue cuperkit. also the player plays mini games with red green and blue cuba kit. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also the player plays mini games with red green and blue cooper kit', 'also the player plays mini games with red green and blue cooper kit', 'also the player plays mini games with red green and blue cooper kit', 'also the player plays mini games with red green and blue cuperkit', 'also the player plays mini games with red green and blue cuba kit'] |
|
[
"for gynecological diagnosis a special type of laparoscope can be used called a fettiloscope",
"for gynecological diagnosis a special type of laparoscopy can be used called a fettiloscope",
"for gynecological diagnosis a special type of laparoscope can be used called a fatiloscope",
"for gynecological diagnosis a special type of laparoscope can be used",
"for gynecological diagnosis a special type of laparoscope can be used called a fetilloscope"
]
| for gynecological diagnosis a special type of laparoscope can be used called a fertiloscope | for gynecological diagnosis a special type of laparoscope can be used called a fettiloscope. | for gynecological diagnosis a special type of laparoscopy can be used called a fettiloscope. for gynecological diagnosis a special type of laparoscope can be used called a fatiloscope. for gynecological diagnosis a special type of laparoscope can be used. for gynecological diagnosis a special type of laparoscope can be used called a fetilloscope. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for gynecological diagnosis a special type of laparoscope can be used called a fettiloscope', 'for gynecological diagnosis a special type of laparoscopy can be used called a fettiloscope', 'for gynecological diagnosis a special type of laparoscope can be used called a fatiloscope', 'for gynecological diagnosis a special type of laparoscope can be used', 'for gynecological diagnosis a special type of laparoscope can be used called a fetilloscope'] |
|
[
"it provides a tasty honey like treat for indigenous people",
"it provides a tasty honey like treat for indigenous people",
"it provides a tasty honey like treat for indigenous people",
"it provides a tasty unilocked treat for indigenous people",
"it provides a tasty honey like treat for indigenous people"
]
| it provides a tasty honey like treat for indigenous people | it provides a tasty honey like treat for indigenous people. | it provides a tasty honey like treat for indigenous people. it provides a tasty honey like treat for indigenous people. it provides a tasty unilocked treat for indigenous people. it provides a tasty honey like treat for indigenous people. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it provides a tasty honey like treat for indigenous people', 'it provides a tasty honey like treat for indigenous people', 'it provides a tasty honey like treat for indigenous people', 'it provides a tasty unilocked treat for indigenous people', 'it provides a tasty honey like treat for indigenous people'] |
|
[
"the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds",
"the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds",
"the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds",
"the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds",
"the effinthetic can be inserted to prevent hiatus two consecutive vowel sounds"
]
| the epenthetic can be inserted to prevent hiatus two consecutive vowel sounds | the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds. | the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds. the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds. the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds. the effinthetic can be inserted to prevent hiatus two consecutive vowel sounds. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds', 'the ephynthetic can be inserted to prevent hiatus two consecutive vowel sounds', 'the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds', 'the ephynthetic can be inserted to prevent hiatus to consecutive vowel sounds', 'the effinthetic can be inserted to prevent hiatus two consecutive vowel sounds'] |
|
[
"luggage handbags umbrellas and scopes also carried the states in mark",
"luggage handbags umbrellas and scoves also carried the states in mark",
"luggage handbags umbrellas and scopes also carried the states in mark",
"luggage handbags umbrellas and scurves also carried the states in mark",
"luggage handbags umbrellas and scopes also carried the states in mark"
]
| luggage handbags umbrellas and scarves also carried the stetson mark | luggage handbags umbrellas and scopes also carried the states in mark. | luggage handbags umbrellas and scoves also carried the states in mark. luggage handbags umbrellas and scopes also carried the states in mark. luggage handbags umbrellas and scurves also carried the states in mark. luggage handbags umbrellas and scopes also carried the states in mark. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['luggage handbags umbrellas and scopes also carried the states in mark', 'luggage handbags umbrellas and scoves also carried the states in mark', 'luggage handbags umbrellas and scopes also carried the states in mark', 'luggage handbags umbrellas and scurves also carried the states in mark', 'luggage handbags umbrellas and scopes also carried the states in mark'] |
|
[
"he is well respected around the league for keeping his team focused",
"he is well respected around the league for keeping his team focused",
"he is well respected around the league for keeping his team focused",
"he is well respected around the league for keeping his team focused",
"he is well respected around the league for keeping his team focused"
]
| he is well respected around the league for keeping his team focused | he is well respected around the league for keeping his team focused. | he is well respected around the league for keeping his team focused. he is well respected around the league for keeping his team focused. he is well respected around the league for keeping his team focused. he is well respected around the league for keeping his team focused. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is well respected around the league for keeping his team focused', 'he is well respected around the league for keeping his team focused', 'he is well respected around the league for keeping his team focused', 'he is well respected around the league for keeping his team focused', 'he is well respected around the league for keeping his team focused'] |
|
[
"he was quoted as saying",
"he was quoted as saying",
"he was quoted as saying",
"he was quoted as saying",
"was quoted as saying"
]
| he was quoted as saying | he was quoted as saying. | he was quoted as saying. he was quoted as saying. he was quoted as saying. was quoted as saying. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was quoted as saying', 'he was quoted as saying', 'he was quoted as saying', 'he was quoted as saying', 'was quoted as saying'] |
|
[
"the smaller crater we go is located to the east",
"the smaller cradle we go is located to the east",
"the smaller credo we go is located to the east",
"the smaller credo we go is located to the east",
"the smaller credo we go is located to the east"
]
| the smaller crater weigel is located to the east | the smaller crater we go is located to the east. | the smaller cradle we go is located to the east. the smaller credo we go is located to the east. the smaller credo we go is located to the east. the smaller credo we go is located to the east. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the smaller crater we go is located to the east', 'the smaller cradle we go is located to the east', 'the smaller credo we go is located to the east', 'the smaller credo we go is located to the east', 'the smaller credo we go is located to the east'] |
|
[
"pupils automatically become members of the old stop forty ends association on leaving the school",
"pupils automatically become members of the old stop forty ends association on leaving the school",
"pupils automatically become members of the old stop forty ends association on leaving the school",
"pupils automatically become members of the old stop forty end association on leaving the school",
"pupils automatically become members of the old stop forty ends association on leaving the school"
]
| pupils automatically become members of the old stopfordians association on leaving the school | pupils automatically become members of the old stop forty ends association on leaving the school. | pupils automatically become members of the old stop forty ends association on leaving the school. pupils automatically become members of the old stop forty ends association on leaving the school. pupils automatically become members of the old stop forty end association on leaving the school. pupils automatically become members of the old stop forty ends association on leaving the school. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pupils automatically become members of the old stop forty ends association on leaving the school', 'pupils automatically become members of the old stop forty ends association on leaving the school', 'pupils automatically become members of the old stop forty ends association on leaving the school', 'pupils automatically become members of the old stop forty end association on leaving the school', 'pupils automatically become members of the old stop forty ends association on leaving the school'] |
|
[
"overfeeding can lead to obesity and risk of laminitis can be a concern",
"overfeeding can lead to obesity and risk of laminitis can be a concern",
"overfeeding can lead to obesity and risk of laminitus can be a concern",
"overfeeding can lead to obesity and risk of laminitis can be a concern",
"overfeeding can lead to obesity and risk of laminitus can be a concern"
]
| overfeeding can lead to obesity and risk of laminitis can be a concern | overfeeding can lead to obesity and risk of laminitis can be a concern. | overfeeding can lead to obesity and risk of laminitis can be a concern. overfeeding can lead to obesity and risk of laminitus can be a concern. overfeeding can lead to obesity and risk of laminitis can be a concern. overfeeding can lead to obesity and risk of laminitus can be a concern. | train_cv | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['overfeeding can lead to obesity and risk of laminitis can be a concern', 'overfeeding can lead to obesity and risk of laminitis can be a concern', 'overfeeding can lead to obesity and risk of laminitus can be a concern', 'overfeeding can lead to obesity and risk of laminitis can be a concern', 'overfeeding can lead to obesity and risk of laminitus can be a concern'] |
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