hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"there was disagreement between zorn and the label over cover art on subsequent albums",
"there was disagreement between zon and the label over cover art on subsequent albums",
"there was disagreement between zorn and the label over coverart on subsequent albums",
"there was disagreement between zorn and the label over cover art on subsequent albums",
"there was disagreement between zawn and the label over cover art on subsequent albums"
] |
there was disagreement between zorn and the label over cover art on subsequent albums
|
there was disagreement between zorn and the label over cover art on subsequent albums.
|
there was disagreement between zon and the label over cover art on subsequent albums. there was disagreement between zorn and the label over coverart on subsequent albums. there was disagreement between zorn and the label over cover art on subsequent albums. there was disagreement between zawn and the label over cover art on subsequent albums.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there was disagreement between zorn and the label over cover art on subsequent albums', 'there was disagreement between zon and the label over cover art on subsequent albums', 'there was disagreement between zorn and the label over coverart on subsequent albums', 'there was disagreement between zorn and the label over cover art on subsequent albums', 'there was disagreement between zawn and the label over cover art on subsequent albums']
|
|
[
"see also a list of canadian historians",
"see you also a list of canadian historians",
"see you also list of canadian historians",
"see you also at list of canadian historians",
"see also a list of canadian historians"
] |
see also list of canadian historians
|
see also a list of canadian historians.
|
see you also a list of canadian historians. see you also list of canadian historians. see you also at list of canadian historians. see also a list of canadian historians.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see also a list of canadian historians', 'see you also a list of canadian historians', 'see you also list of canadian historians', 'see you also at list of canadian historians', 'see also a list of canadian historians']
|
|
[
"dress me up",
"dress me up",
"dress me up",
"dress me up",
"dress me up"
] |
dress me up
|
dress me up.
|
dress me up. dress me up. dress me up. dress me up.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dress me up', 'dress me up', 'dress me up', 'dress me up', 'dress me up']
|
|
[
"as two men were moving forward and heard a cry coming from near them",
"as two men were moving forward and heard a cry coming from near them",
"as two men were moving forward and heard cry coming from near them",
"as two men were moving forward and heard a cry coming from near the dam",
"as two men were moving forward and heard a cry coming from near them"
] |
as two men were moving forward and heard a cry coming from near them
|
as two men were moving forward and heard a cry coming from near them.
|
as two men were moving forward and heard a cry coming from near them. as two men were moving forward and heard cry coming from near them. as two men were moving forward and heard a cry coming from near the dam. as two men were moving forward and heard a cry coming from near them.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as two men were moving forward and heard a cry coming from near them', 'as two men were moving forward and heard a cry coming from near them', 'as two men were moving forward and heard cry coming from near them', 'as two men were moving forward and heard a cry coming from near the dam', 'as two men were moving forward and heard a cry coming from near them']
|
|
[
"at the time mora worked in conventional but self assured realist style",
"at the time mora worked in conventional but self assured realist style",
"at the time mora worked in conventional but self assured realist style",
"at the time more of worked in conventional but self assured realist style",
"at the time more of worked in conventional but self assured realist style"
] |
at the time maurer worked in a conventional but self assured realist style
|
at the time mora worked in conventional but self assured realist style.
|
at the time mora worked in conventional but self assured realist style. at the time mora worked in conventional but self assured realist style. at the time more of worked in conventional but self assured realist style. at the time more of worked in conventional but self assured realist style.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the time mora worked in conventional but self assured realist style', 'at the time mora worked in conventional but self assured realist style', 'at the time mora worked in conventional but self assured realist style', 'at the time more of worked in conventional but self assured realist style', 'at the time more of worked in conventional but self assured realist style']
|
|
[
"darling tonya california guy is no exception",
"darling tonya california guys no exception",
"darling tonya california guys no exception",
"darling tonya california guy is no exception",
"darling tonya california guy is no exception"
] |
darlingtonia californica is no exception
|
darling tonya california guy is no exception.
|
darling tonya california guys no exception. darling tonya california guys no exception. darling tonya california guy is no exception. darling tonya california guy is no exception.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['darling tonya california guy is no exception', 'darling tonya california guys no exception', 'darling tonya california guys no exception', 'darling tonya california guy is no exception', 'darling tonya california guy is no exception']
|
|
[
"he plays as a defender for rosalair in the lower divisions of belich and football",
"he plays as a defender for rosalair in the lower divisions of belgian football",
"he placed as a defender for rosalair in the lower divisions of belich and football",
"he placed as a defender for rosalair in the lower divisions of belgian football",
"he plays as a defender for rosalair in the lower divisions of belich and football"
] |
he plays as a defender for roeselare in the lower divisions of belgian football
|
he plays as a defender for rosalair in the lower divisions of belich and football.
|
he plays as a defender for rosalair in the lower divisions of belgian football. he placed as a defender for rosalair in the lower divisions of belich and football. he placed as a defender for rosalair in the lower divisions of belgian football. he plays as a defender for rosalair in the lower divisions of belich and football.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he plays as a defender for rosalair in the lower divisions of belich and football', 'he plays as a defender for rosalair in the lower divisions of belgian football', 'he placed as a defender for rosalair in the lower divisions of belich and football', 'he placed as a defender for rosalair in the lower divisions of belgian football', 'he plays as a defender for rosalair in the lower divisions of belich and football']
|
|
[
"a man standing alone in the car",
"a man standing alone in the car",
"a man standing alone in the car",
"i am standing alone in the car",
"i am standing alone in the car"
] |
a man standing alone in a park
|
a man standing alone in the car.
|
a man standing alone in the car. a man standing alone in the car. i am standing alone in the car. i am standing alone in the car.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man standing alone in the car', 'a man standing alone in the car', 'a man standing alone in the car', 'i am standing alone in the car', 'i am standing alone in the car']
|
|
[
"his governess over yamato was guaranteed by the victorious toyotomi hideyoshi",
"his governess over yamata was guaranteed by the victorious toyotomi hideyoshi",
"his governess over yomata was guaranteed by the victorious toyotomi hideyoshi",
"his governess over yumato was guaranteed by the victorious toyotomi hideyoshi",
"his governess over yumaata was guaranteed by the victorious toyotomi hideyoshi"
] |
his governance over yamato was guaranteed by the victorious toyotomi hideyoshi
|
his governess over yamato was guaranteed by the victorious toyotomi hideyoshi.
|
his governess over yamata was guaranteed by the victorious toyotomi hideyoshi. his governess over yomata was guaranteed by the victorious toyotomi hideyoshi. his governess over yumato was guaranteed by the victorious toyotomi hideyoshi. his governess over yumaata was guaranteed by the victorious toyotomi hideyoshi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his governess over yamato was guaranteed by the victorious toyotomi hideyoshi', 'his governess over yamata was guaranteed by the victorious toyotomi hideyoshi', 'his governess over yomata was guaranteed by the victorious toyotomi hideyoshi', 'his governess over yumato was guaranteed by the victorious toyotomi hideyoshi', 'his governess over yumaata was guaranteed by the victorious toyotomi hideyoshi']
|
|
[
"camera will be the beneficiary of changes to the series",
"camera will be the beneficiary of the changes to the series",
"camera will be the beneficiary of the changes in the series",
"camera will be the beneficiary of changes in the series",
"camera will be the beneficiary of changes to the series"
] |
cameron will be the beneficiary of changes to the series
|
camera will be the beneficiary of changes to the series.
|
camera will be the beneficiary of the changes to the series. camera will be the beneficiary of the changes in the series. camera will be the beneficiary of changes in the series. camera will be the beneficiary of changes to the series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['camera will be the beneficiary of changes to the series', 'camera will be the beneficiary of the changes to the series', 'camera will be the beneficiary of the changes in the series', 'camera will be the beneficiary of changes in the series', 'camera will be the beneficiary of changes to the series']
|
|
[
"the survivors retreated to the fortifications of vicksburg",
"the survivors retreated to the fortifications of wicksburg",
"the survivors retreated to the fortifications of wixberg",
"the survivors retreated to the fortifications of vicksberg",
"the survivor is retreated to the fortifications of vicksburg"
] |
the survivors retreated to the fortifications of vicksburg
|
the survivors retreated to the fortifications of vicksburg.
|
the survivors retreated to the fortifications of wicksburg. the survivors retreated to the fortifications of wixberg. the survivors retreated to the fortifications of vicksberg. the survivor is retreated to the fortifications of vicksburg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the survivors retreated to the fortifications of vicksburg', 'the survivors retreated to the fortifications of wicksburg', 'the survivors retreated to the fortifications of wixberg', 'the survivors retreated to the fortifications of vicksberg', 'the survivor is retreated to the fortifications of vicksburg']
|
|
[
"the bills are short slightly curved and serrated",
"the beads are short slightly curved and serrated",
"the bills are short slightly curved and serrated",
"the bills are short slightly curved and serrated",
"the bills are short slightly curved and serrated"
] |
the bills are short slightly curved and serrated
|
the bills are short slightly curved and serrated.
|
the beads are short slightly curved and serrated. the bills are short slightly curved and serrated. the bills are short slightly curved and serrated. the bills are short slightly curved and serrated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bills are short slightly curved and serrated', 'the beads are short slightly curved and serrated', 'the bills are short slightly curved and serrated', 'the bills are short slightly curved and serrated', 'the bills are short slightly curved and serrated']
|
|
[
"he was born in long beach california",
"he was born in lung beach california",
"he was born in lung beach california",
"he was born in lung beach california",
"he was born in lung beach california"
] |
he was born in long beach california
|
he was born in long beach california.
|
he was born in lung beach california. he was born in lung beach california. he was born in lung beach california. he was born in lung beach california.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was born in long beach california', 'he was born in lung beach california', 'he was born in lung beach california', 'he was born in lung beach california', 'he was born in lung beach california']
|
|
[
"the fourrunner church became too small for the population which had sharply rising",
"the fourrunner church became too small for the population which had sharply rise",
"the fourrunner church became too small for the population which had fairly rising",
"the fourrunner church became too small for the population which had sharply rising",
"the fourrunner church became too small for the population which had a fairly rising"
] |
the forerunner church became too small for the population which had sharply risen
|
the fourrunner church became too small for the population which had sharply rising.
|
the fourrunner church became too small for the population which had sharply rise. the fourrunner church became too small for the population which had fairly rising. the fourrunner church became too small for the population which had sharply rising. the fourrunner church became too small for the population which had a fairly rising.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the fourrunner church became too small for the population which had sharply rising', 'the fourrunner church became too small for the population which had sharply rise', 'the fourrunner church became too small for the population which had fairly rising', 'the fourrunner church became too small for the population which had sharply rising', 'the fourrunner church became too small for the population which had a fairly rising']
|
|
[
"it covers the prosecution of youths for criminal offenses",
"it covers a prosecution of youths for criminal offenses",
"it covers the prosecution of youths for criminal offenses",
"it covers a prosecution of youths for criminal offenses",
"it covers a prosecution of youths for criminal offenses"
] |
it covers the prosecution of youths for criminal offenses
|
it covers the prosecution of youths for criminal offenses.
|
it covers a prosecution of youths for criminal offenses. it covers the prosecution of youths for criminal offenses. it covers a prosecution of youths for criminal offenses. it covers a prosecution of youths for criminal offenses.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it covers the prosecution of youths for criminal offenses', 'it covers a prosecution of youths for criminal offenses', 'it covers the prosecution of youths for criminal offenses', 'it covers a prosecution of youths for criminal offenses', 'it covers a prosecution of youths for criminal offenses']
|
|
[
"it is now under construction",
"it is now under construction",
"it is now under construction",
"it is now under construction",
"it is now under construction"
] |
it is now under construction
|
it is now under construction.
|
it is now under construction. it is now under construction. it is now under construction. it is now under construction.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is now under construction', 'it is now under construction', 'it is now under construction', 'it is now under construction', 'it is now under construction']
|
|
[
"this was a two chip micro computer",
"this was a two chip micro computer",
"this was a two chip micro computer",
"this was a two chip micro computer",
"this was a two chip micro computer"
] |
this was a two chip microcomputer
|
this was a two chip micro computer.
|
this was a two chip micro computer. this was a two chip micro computer. this was a two chip micro computer. this was a two chip micro computer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was a two chip micro computer', 'this was a two chip micro computer', 'this was a two chip micro computer', 'this was a two chip micro computer', 'this was a two chip micro computer']
|
|
[
"do not go in that way",
"do not go in that way",
"do not go in that way",
"do not go that way",
"do not go in that way"
] |
do not go on in that way
|
do not go in that way.
|
do not go in that way. do not go in that way. do not go that way. do not go in that way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['do not go in that way', 'do not go in that way', 'do not go in that way', 'do not go that way', 'do not go in that way']
|
|
[
"there have been at least a dozen newspapers that have called lebanon home",
"there have been at least eight dozen newspapers that have called lebanon home",
"there have been at least a dozen newspapers that have called lebanon home",
"there have been at least a dozen newspapers that have been called lebanon home",
"there have been atleast a dozen newspapers that have called lebanon home"
] |
there have been at least a dozen newspapers that have called lebanon home
|
there have been at least a dozen newspapers that have called lebanon home.
|
there have been at least eight dozen newspapers that have called lebanon home. there have been at least a dozen newspapers that have called lebanon home. there have been at least a dozen newspapers that have been called lebanon home. there have been atleast a dozen newspapers that have called lebanon home.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there have been at least a dozen newspapers that have called lebanon home', 'there have been at least eight dozen newspapers that have called lebanon home', 'there have been at least a dozen newspapers that have called lebanon home', 'there have been at least a dozen newspapers that have been called lebanon home', 'there have been atleast a dozen newspapers that have called lebanon home']
|
|
[
"a dog jumps over a log in the woods",
"a dog jumps over the log in the woods",
"a dog jumps over a log in the woods",
"a dog jumps over the log in the woods",
"a dog jumps over a log in the woods"
] |
a dog jumps over a log in the woods
|
a dog jumps over a log in the woods.
|
a dog jumps over the log in the woods. a dog jumps over a log in the woods. a dog jumps over the log in the woods. a dog jumps over a log in the woods.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a dog jumps over a log in the woods', 'a dog jumps over the log in the woods', 'a dog jumps over a log in the woods', 'a dog jumps over the log in the woods', 'a dog jumps over a log in the woods']
|
|
[
"its country seat is kind of back",
"its country seat is kenna beck",
"it is country seat is kind of back",
"its country seat is canada back",
"it is country seat is canada back"
] |
its county seat is kennebec
|
its country seat is kind of back.
|
its country seat is kenna beck. it is country seat is kind of back. its country seat is canada back. it is country seat is canada back.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its country seat is kind of back', 'its country seat is kenna beck', 'it is country seat is kind of back', 'its country seat is canada back', 'it is country seat is canada back']
|
|
[
"his final words are told my tale to those who ask",
"his final words are told my tale to those who ask",
"his final words are tell my tale to those who ask",
"his final words are told my tale to those who asked",
"his final words are told my tail to those who ask"
] |
his final words are tell my tale to those who ask
|
his final words are told my tale to those who ask.
|
his final words are told my tale to those who ask. his final words are tell my tale to those who ask. his final words are told my tale to those who asked. his final words are told my tail to those who ask.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his final words are told my tale to those who ask', 'his final words are told my tale to those who ask', 'his final words are tell my tale to those who ask', 'his final words are told my tale to those who asked', 'his final words are told my tail to those who ask']
|
|
[
"he missed exciting cover reactions in the apuma docks campaign",
"he missed exciting cover reactions in the apuma talks campaign",
"he missed exciting cover reactions in the apomodox campaign",
"he missed exciting cover reactions in the apurna docks campaign",
"he missed exciting cover reactions in the apuma dog is campaign"
] |
he missed exciting cavalry actions in the appomattox campaign
|
he missed exciting cover reactions in the apuma docks campaign.
|
he missed exciting cover reactions in the apuma talks campaign. he missed exciting cover reactions in the apomodox campaign. he missed exciting cover reactions in the apurna docks campaign. he missed exciting cover reactions in the apuma dog is campaign.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he missed exciting cover reactions in the apuma docks campaign', 'he missed exciting cover reactions in the apuma talks campaign', 'he missed exciting cover reactions in the apomodox campaign', 'he missed exciting cover reactions in the apurna docks campaign', 'he missed exciting cover reactions in the apuma dog is campaign']
|
|
[
"washingtonia philipera is widely cultivated as an ornamental tree",
"washingtonia filifera is widely cultivated as an ornamental tree",
"washingtonia filipera is widely cultivated as an ornamental tree",
"washingtonia filifera is widely cultivated as an ornamental tree",
"washingtonia filifera is widely cultivated as an ornamental tree"
] |
washingtonia filifera is widely cultivated as an ornamental tree
|
washingtonia philipera is widely cultivated as an ornamental tree.
|
washingtonia filifera is widely cultivated as an ornamental tree. washingtonia filipera is widely cultivated as an ornamental tree. washingtonia filifera is widely cultivated as an ornamental tree. washingtonia filifera is widely cultivated as an ornamental tree.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['washingtonia philipera is widely cultivated as an ornamental tree', 'washingtonia filifera is widely cultivated as an ornamental tree', 'washingtonia filipera is widely cultivated as an ornamental tree', 'washingtonia filifera is widely cultivated as an ornamental tree', 'washingtonia filifera is widely cultivated as an ornamental tree']
|
|
[
"locals are popular in rural area and even in kham so broken location",
"locals are popular in rural area in eveningham so broken location",
"locals are popular in rural area and even in kham so broken location",
"locals are popular in rural area in even in kham so broken location",
"locals are popular in rural area and even in ham so broken location"
] |
log homes are popular in rural areas and even in some suburban locations
|
locals are popular in rural area and even in kham so broken location.
|
locals are popular in rural area in eveningham so broken location. locals are popular in rural area and even in kham so broken location. locals are popular in rural area in even in kham so broken location. locals are popular in rural area and even in ham so broken location.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['locals are popular in rural area and even in kham so broken location', 'locals are popular in rural area in eveningham so broken location', 'locals are popular in rural area and even in kham so broken location', 'locals are popular in rural area in even in kham so broken location', 'locals are popular in rural area and even in ham so broken location']
|
|
[
"john is poisoned by a disgruntled monk",
"john is poised by a disgruntled monk",
"john is poisoned by a disgruntled munk",
"john is poisoned by a disgruntled monk",
"john is poisoned by a disgruntled munk"
] |
john is poisoned by a disgruntled monk
|
john is poisoned by a disgruntled monk.
|
john is poised by a disgruntled monk. john is poisoned by a disgruntled munk. john is poisoned by a disgruntled monk. john is poisoned by a disgruntled munk.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['john is poisoned by a disgruntled monk', 'john is poised by a disgruntled monk', 'john is poisoned by a disgruntled munk', 'john is poisoned by a disgruntled monk', 'john is poisoned by a disgruntled munk']
|
|
[
"the railing rooms could also be ordered with base mortals",
"the railing rooms could also be ordered with base models",
"the railings could also be ordered with base mortals",
"the rally winds could also be ordered with base mortals",
"the railing rooms could also be ordered with base mortars"
] |
the rallye rims could also be ordered with base models
|
the railing rooms could also be ordered with base mortals.
|
the railing rooms could also be ordered with base models. the railings could also be ordered with base mortals. the rally winds could also be ordered with base mortals. the railing rooms could also be ordered with base mortars.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the railing rooms could also be ordered with base mortals', 'the railing rooms could also be ordered with base models', 'the railings could also be ordered with base mortals', 'the rally winds could also be ordered with base mortals', 'the railing rooms could also be ordered with base mortars']
|
|
[
"only one destroyer received a hit during the landing",
"only one destroyer received a hit during landing",
"only one destroyer received a hit during the landing",
"only one destroyer received a hit during the landing",
"only one destroyer received a hit during landing"
] |
only one destroyer received a hit during the landing
|
only one destroyer received a hit during the landing.
|
only one destroyer received a hit during landing. only one destroyer received a hit during the landing. only one destroyer received a hit during the landing. only one destroyer received a hit during landing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['only one destroyer received a hit during the landing', 'only one destroyer received a hit during landing', 'only one destroyer received a hit during the landing', 'only one destroyer received a hit during the landing', 'only one destroyer received a hit during landing']
|
|
[
"the remaining men in the lowry were led by surgeon kriegen",
"the remaining men in the lorry were led by surgeon kriegen",
"the remaining men in the lowry were led by surgeon kriegan",
"the remaining men in the lorry were led by surgeon kriegen",
"the remaining men in the lowry were led by surgeon kregan"
] |
the remaining men in the lorry were led by sergeant creegan
|
the remaining men in the lowry were led by surgeon kriegen.
|
the remaining men in the lorry were led by surgeon kriegen. the remaining men in the lowry were led by surgeon kriegan. the remaining men in the lorry were led by surgeon kriegen. the remaining men in the lowry were led by surgeon kregan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the remaining men in the lowry were led by surgeon kriegen', 'the remaining men in the lorry were led by surgeon kriegen', 'the remaining men in the lowry were led by surgeon kriegan', 'the remaining men in the lorry were led by surgeon kriegen', 'the remaining men in the lowry were led by surgeon kregan']
|
|
[
"it is considered one of his best albums",
"it is considered one of the best albums",
"it is considered one of his best albums",
"it is considered one of his best albums",
"it is considered one of his best albums"
] |
it is considered one of his best albums
|
it is considered one of his best albums.
|
it is considered one of the best albums. it is considered one of his best albums. it is considered one of his best albums. it is considered one of his best albums.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is considered one of his best albums', 'it is considered one of the best albums', 'it is considered one of his best albums', 'it is considered one of his best albums', 'it is considered one of his best albums']
|
|
[
"however north warren dites parks and reserves are perfect for bushwalking and mountain bike riding",
"however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding",
"however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding",
"however north warren dide is parks and reserves are perfect for bushwalking and mountain bike riding",
"however north warren dides parks and reserves are perfect for bushwalking and mountain bike riding"
] |
however north warrandyte is parks and reserves are perfect for bushwalking and mountain bike riding
|
however north warren dites parks and reserves are perfect for bushwalking and mountain bike riding.
|
however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding. however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding. however north warren dide is parks and reserves are perfect for bushwalking and mountain bike riding. however north warren dides parks and reserves are perfect for bushwalking and mountain bike riding.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however north warren dites parks and reserves are perfect for bushwalking and mountain bike riding', 'however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding', 'however north warren dite is parks and reserves are perfect for bushwalking and mountain bike riding', 'however north warren dide is parks and reserves are perfect for bushwalking and mountain bike riding', 'however north warren dides parks and reserves are perfect for bushwalking and mountain bike riding']
|
|
[
"jones was born in washington county virginia",
"jones was born in washington county virginia",
"giants was born in washington county virginia",
"giants was born in washington county virginia",
"giants was born in washington county virginia"
] |
jones was born in washington county virginia
|
jones was born in washington county virginia.
|
jones was born in washington county virginia. giants was born in washington county virginia. giants was born in washington county virginia. giants was born in washington county virginia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jones was born in washington county virginia', 'jones was born in washington county virginia', 'giants was born in washington county virginia', 'giants was born in washington county virginia', 'giants was born in washington county virginia']
|
|
[
"she was named after marin called slade knight coloned john lepreaux",
"she was named after marin called slade knight call on john lepreaux",
"she was named after marin called slade knight coloned john lepreaux",
"she was named after marin called slade knight cologne john lepreaux",
"she was named after marin called slidner to call on john lepreaux"
] |
she was named after marine corps lieutenant colonel john l broome
|
she was named after marin called slade knight coloned john lepreaux.
|
she was named after marin called slade knight call on john lepreaux. she was named after marin called slade knight coloned john lepreaux. she was named after marin called slade knight cologne john lepreaux. she was named after marin called slidner to call on john lepreaux.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she was named after marin called slade knight coloned john lepreaux', 'she was named after marin called slade knight call on john lepreaux', 'she was named after marin called slade knight coloned john lepreaux', 'she was named after marin called slade knight cologne john lepreaux', 'she was named after marin called slidner to call on john lepreaux']
|
|
[
"duncan owned the double d ranch a hunting property in texas",
"duncan owned the double d ranch a hunting property in texas",
"duncan owned the double d range a hunting property in texas",
"duncan owned the double d range a hunting property in texas",
"duncan owned the w d ranch a hunting property in texas"
] |
duncan owned the double d ranch a hunting property in texas
|
duncan owned the double d ranch a hunting property in texas.
|
duncan owned the double d ranch a hunting property in texas. duncan owned the double d range a hunting property in texas. duncan owned the double d range a hunting property in texas. duncan owned the w d ranch a hunting property in texas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['duncan owned the double d ranch a hunting property in texas', 'duncan owned the double d ranch a hunting property in texas', 'duncan owned the double d range a hunting property in texas', 'duncan owned the double d range a hunting property in texas', 'duncan owned the w d ranch a hunting property in texas']
|
|
[
"it is characterized by minimalism born of japanese esthetics",
"it is characterized by a minimalism born of japanese esthetics",
"it is characterized by minimalism born of japanese esthetics",
"it is characterized by minimalism born of japanese esthetics",
"it is characterized by minimalism born of japanese esthetics"
] |
it is characterized by a minimalism born of japanese esthetics
|
it is characterized by minimalism born of japanese esthetics.
|
it is characterized by a minimalism born of japanese esthetics. it is characterized by minimalism born of japanese esthetics. it is characterized by minimalism born of japanese esthetics. it is characterized by minimalism born of japanese esthetics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is characterized by minimalism born of japanese esthetics', 'it is characterized by a minimalism born of japanese esthetics', 'it is characterized by minimalism born of japanese esthetics', 'it is characterized by minimalism born of japanese esthetics', 'it is characterized by minimalism born of japanese esthetics']
|
|
[
"the following teams are members of like a male",
"the following teams are members of liga mail",
"the following teams are members of liger mail",
"the following teams are members of leica mail",
"the following teams are members of liga mail"
] |
the following teams are members of liga mayor
|
the following teams are members of like a male.
|
the following teams are members of liga mail. the following teams are members of liger mail. the following teams are members of leica mail. the following teams are members of liga mail.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following teams are members of like a male', 'the following teams are members of liga mail', 'the following teams are members of liger mail', 'the following teams are members of leica mail', 'the following teams are members of liga mail']
|
|
[
"his father was also a hong kong police officer",
"his brother was also a hong kong police officer",
"this pattern was also a hong kong police officer",
"this platter was also a hong kong police officer",
"his father was also a hong kong police officer"
] |
his father was also a hong kong police officer
|
his father was also a hong kong police officer.
|
his brother was also a hong kong police officer. this pattern was also a hong kong police officer. this platter was also a hong kong police officer. his father was also a hong kong police officer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his father was also a hong kong police officer', 'his brother was also a hong kong police officer', 'this pattern was also a hong kong police officer', 'this platter was also a hong kong police officer', 'his father was also a hong kong police officer']
|
|
[
"consider increasing your volume and you give your next speech",
"consider increasing your volume when you give your next speech",
"increasing your volume and you give your next speech",
"increasing your volume and you give your next speech",
"increasing your volume when you give your next speech"
] |
consider increasing your volume when you give your next speech
|
consider increasing your volume and you give your next speech.
|
consider increasing your volume when you give your next speech. increasing your volume and you give your next speech. increasing your volume and you give your next speech. increasing your volume when you give your next speech.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['consider increasing your volume and you give your next speech', 'consider increasing your volume when you give your next speech', 'increasing your volume and you give your next speech', 'increasing your volume and you give your next speech', 'increasing your volume when you give your next speech']
|
|
[
"tetanus forces a further risk",
"tetanus poses a further risk",
"tetanus forces affer the risk",
"tetanus pauses a further risk",
"tetanus forces affer the risk"
] |
tetanus poses a further risk
|
tetanus forces a further risk.
|
tetanus poses a further risk. tetanus forces affer the risk. tetanus pauses a further risk. tetanus forces affer the risk.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tetanus forces a further risk', 'tetanus poses a further risk', 'tetanus forces affer the risk', 'tetanus pauses a further risk', 'tetanus forces affer the risk']
|
|
[
"many of the olive industry co ops closed",
"many of the all of industry co ops closed",
"many of the olive industry co ops closed",
"many of the olive industry co ops closed",
"many of the olive industry co ops closed"
] |
many of the olive industry co ops closed
|
many of the olive industry co ops closed.
|
many of the all of industry co ops closed. many of the olive industry co ops closed. many of the olive industry co ops closed. many of the olive industry co ops closed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many of the olive industry co ops closed', 'many of the all of industry co ops closed', 'many of the olive industry co ops closed', 'many of the olive industry co ops closed', 'many of the olive industry co ops closed']
|
|
[
"eventually superior introduced species were selected and incorporated into the gardens",
"eventually superior introduced species were selected and incorporated into the gardens",
"eventually superior introduce species were selected and incorporated into the gardens",
"eventually superior introduce species were selected and incorporated into the gardens",
"eventually superior introduced species was selected and incorporated into the gardens"
] |
eventually superior introduced species were selected and incorporated into the gardens
|
eventually superior introduced species were selected and incorporated into the gardens.
|
eventually superior introduced species were selected and incorporated into the gardens. eventually superior introduce species were selected and incorporated into the gardens. eventually superior introduce species were selected and incorporated into the gardens. eventually superior introduced species was selected and incorporated into the gardens.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['eventually superior introduced species were selected and incorporated into the gardens', 'eventually superior introduced species were selected and incorporated into the gardens', 'eventually superior introduce species were selected and incorporated into the gardens', 'eventually superior introduce species were selected and incorporated into the gardens', 'eventually superior introduced species was selected and incorporated into the gardens']
|
|
[
"currently the warship band unhindered is serving as youth quakes warship leaders",
"currently the warship band unhindered is serving as youth quakes warship leaders",
"currently the warship band unhindered is serving as youth quakes warship leaders",
"currently the warship band unhindered is serving as youth quake is warship leaders",
"currently the warship band unhindered is serving as youth quakes warship leaders"
] |
currently the worship band unhindered is serving as youthquake is worship leaders
|
currently the warship band unhindered is serving as youth quakes warship leaders.
|
currently the warship band unhindered is serving as youth quakes warship leaders. currently the warship band unhindered is serving as youth quakes warship leaders. currently the warship band unhindered is serving as youth quake is warship leaders. currently the warship band unhindered is serving as youth quakes warship leaders.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['currently the warship band unhindered is serving as youth quakes warship leaders', 'currently the warship band unhindered is serving as youth quakes warship leaders', 'currently the warship band unhindered is serving as youth quakes warship leaders', 'currently the warship band unhindered is serving as youth quake is warship leaders', 'currently the warship band unhindered is serving as youth quakes warship leaders']
|
|
[
"the only deep tunnel for the london underground was built in this way",
"the only deep tunnel for the london underground who built in this way",
"the only deep tunnel for the london underground will be built in this way",
"the only deep tunnel for the london underground who built in this way",
"the only deep tunnel for the london underground who are built in this way"
] |
the early deep tunnels for the london underground were built in this way
|
the only deep tunnel for the london underground was built in this way.
|
the only deep tunnel for the london underground who built in this way. the only deep tunnel for the london underground will be built in this way. the only deep tunnel for the london underground who built in this way. the only deep tunnel for the london underground who are built in this way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the only deep tunnel for the london underground was built in this way', 'the only deep tunnel for the london underground who built in this way', 'the only deep tunnel for the london underground will be built in this way', 'the only deep tunnel for the london underground who built in this way', 'the only deep tunnel for the london underground who are built in this way']
|
|
[
"symphonies and the seas hamilton hearty and adrian bolt",
"symphonies and the seas hamilton harty and adrian bout",
"symphonies and the seas hamilton harty and adrian bolt",
"symphonies and the seas hamilton hearty and adrian boat",
"symphonies and the seas hamilton hearty and adrian boat"
] |
symphonies under sirs hamilton harty and adrian boult
|
symphonies and the seas hamilton hearty and adrian bolt.
|
symphonies and the seas hamilton harty and adrian bout. symphonies and the seas hamilton harty and adrian bolt. symphonies and the seas hamilton hearty and adrian boat. symphonies and the seas hamilton hearty and adrian boat.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['symphonies and the seas hamilton hearty and adrian bolt', 'symphonies and the seas hamilton harty and adrian bout', 'symphonies and the seas hamilton harty and adrian bolt', 'symphonies and the seas hamilton hearty and adrian boat', 'symphonies and the seas hamilton hearty and adrian boat']
|
|
[
"his recommendation initiated an effort that would last over four decades",
"his recommendation initiated an effort that would last over four decades",
"his recommendation initiated an effort that would last over four decades",
"his recommendation initiated an effort that would last over four decades",
"his recommendation initiated an effort that would last over four decades"
] |
his recommendation initiated an effort that would last over four decades
|
his recommendation initiated an effort that would last over four decades.
|
his recommendation initiated an effort that would last over four decades. his recommendation initiated an effort that would last over four decades. his recommendation initiated an effort that would last over four decades. his recommendation initiated an effort that would last over four decades.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his recommendation initiated an effort that would last over four decades', 'his recommendation initiated an effort that would last over four decades', 'his recommendation initiated an effort that would last over four decades', 'his recommendation initiated an effort that would last over four decades', 'his recommendation initiated an effort that would last over four decades']
|
|
[
"he has worked extensively as a session guitarist",
"he has worked extensively as a session guitarist",
"he has worked extensively as a session guitarist",
"he has worked extensively as a session guitarist",
"he has worked extensively as a session guitarist"
] |
he has worked extensively as a session guitarist
|
he has worked extensively as a session guitarist.
|
he has worked extensively as a session guitarist. he has worked extensively as a session guitarist. he has worked extensively as a session guitarist. he has worked extensively as a session guitarist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has worked extensively as a session guitarist', 'he has worked extensively as a session guitarist', 'he has worked extensively as a session guitarist', 'he has worked extensively as a session guitarist', 'he has worked extensively as a session guitarist']
|
|
[
"dixon was left with his only child mariana",
"nixon was left with his only child mariana",
"dixon was left with us only child mariana",
"dixonos left with us only child mariana",
"dixon was left with us only child mariana"
] |
dixon was left with his only child marianna
|
dixon was left with his only child mariana.
|
nixon was left with his only child mariana. dixon was left with us only child mariana. dixonos left with us only child mariana. dixon was left with us only child mariana.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dixon was left with his only child mariana', 'nixon was left with his only child mariana', 'dixon was left with us only child mariana', 'dixonos left with us only child mariana', 'dixon was left with us only child mariana']
|
|
[
"pilsner erkel is exported in bottles and cans to north america and other regions",
"pilsner urkel is exported in bottles and cans to north america and other regions",
"pilsner erkle is exported in bottles and cans to north america and other regions",
"pilzner erkel is exported in bottles and cans to north america and other regions",
"pilsner eurkel is exported in bottles and cans to north america and other regions"
] |
pilsner urquell is exported in bottles and cans to north america and other regions
|
pilsner erkel is exported in bottles and cans to north america and other regions.
|
pilsner urkel is exported in bottles and cans to north america and other regions. pilsner erkle is exported in bottles and cans to north america and other regions. pilzner erkel is exported in bottles and cans to north america and other regions. pilsner eurkel is exported in bottles and cans to north america and other regions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pilsner erkel is exported in bottles and cans to north america and other regions', 'pilsner urkel is exported in bottles and cans to north america and other regions', 'pilsner erkle is exported in bottles and cans to north america and other regions', 'pilzner erkel is exported in bottles and cans to north america and other regions', 'pilsner eurkel is exported in bottles and cans to north america and other regions']
|
|
[
"british military fitness runs classes in the park one day like permits",
"british military fitness runs classes in the park one day like permits",
"british military fitness runs classes in the park one day like permits",
"the british military fitness runs classes in the park one day like permits",
"british military fitness runs classes in the park one day like permits"
] |
british military fitness runs classes in the park when daylight permits
|
british military fitness runs classes in the park one day like permits.
|
british military fitness runs classes in the park one day like permits. british military fitness runs classes in the park one day like permits. the british military fitness runs classes in the park one day like permits. british military fitness runs classes in the park one day like permits.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['british military fitness runs classes in the park one day like permits', 'british military fitness runs classes in the park one day like permits', 'british military fitness runs classes in the park one day like permits', 'the british military fitness runs classes in the park one day like permits', 'british military fitness runs classes in the park one day like permits']
|
|
[
"the school was founded by doctor kenneth gough",
"the school was founded by doctor kenneth boff",
"the school was founded by doctor kenneth gough",
"the school was founded by doctor kenneth goff",
"the school was founded by doctor kenneth bough"
] |
the school was founded by doctor kenneth goff
|
the school was founded by doctor kenneth gough.
|
the school was founded by doctor kenneth boff. the school was founded by doctor kenneth gough. the school was founded by doctor kenneth goff. the school was founded by doctor kenneth bough.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the school was founded by doctor kenneth gough', 'the school was founded by doctor kenneth boff', 'the school was founded by doctor kenneth gough', 'the school was founded by doctor kenneth goff', 'the school was founded by doctor kenneth bough']
|
|
[
"in the movie burge is played by actress poppy monroe",
"in the movie burge is played by actress poppy bondro",
"in the movie burge is played by actress poppy hondro",
"in the movie burj is played by actress poppy bondro",
"in the movie burj is played by actress poppy hondro"
] |
in the movie burge is played by actress poppi monroe
|
in the movie burge is played by actress poppy monroe.
|
in the movie burge is played by actress poppy bondro. in the movie burge is played by actress poppy hondro. in the movie burj is played by actress poppy bondro. in the movie burj is played by actress poppy hondro.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the movie burge is played by actress poppy monroe', 'in the movie burge is played by actress poppy bondro', 'in the movie burge is played by actress poppy hondro', 'in the movie burj is played by actress poppy bondro', 'in the movie burj is played by actress poppy hondro']
|
|
[
"the county seat is hampton",
"the county seat is hampton",
"the county seat is hamptain",
"the county seat is hampton",
"the county seed is hampton"
] |
the county seat is hampton
|
the county seat is hampton.
|
the county seat is hampton. the county seat is hamptain. the county seat is hampton. the county seed is hampton.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the county seat is hampton', 'the county seat is hampton', 'the county seat is hamptain', 'the county seat is hampton', 'the county seed is hampton']
|
|
[
"it also organizes business and networking events on behalf of its members",
"it also organizes business and networking events on behalf of its members",
"it also organizes business and networking events from behalf of its members",
"it also organizes business and networking events from behalf of its members",
"it also organizes business and networking events on behalf of it is members"
] |
it also organizes business and networking events on behalf of its members
|
it also organizes business and networking events on behalf of its members.
|
it also organizes business and networking events on behalf of its members. it also organizes business and networking events from behalf of its members. it also organizes business and networking events from behalf of its members. it also organizes business and networking events on behalf of it is members.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also organizes business and networking events on behalf of its members', 'it also organizes business and networking events on behalf of its members', 'it also organizes business and networking events from behalf of its members', 'it also organizes business and networking events from behalf of its members', 'it also organizes business and networking events on behalf of it is members']
|
|
[
"they also have information about the map and places in it",
"they also have information about the map and places in it",
"they also have information about the map and places in it",
"they also have information about the map and places in it",
"they also have information about the map and places in it"
] |
they also have information about the map and places in it
|
they also have information about the map and places in it.
|
they also have information about the map and places in it. they also have information about the map and places in it. they also have information about the map and places in it. they also have information about the map and places in it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they also have information about the map and places in it', 'they also have information about the map and places in it', 'they also have information about the map and places in it', 'they also have information about the map and places in it', 'they also have information about the map and places in it']
|
|
[
"in july it added campinas brazil and santa clara cuba",
"in july it added campinas brazil and santa clara cuba",
"in july it added campinas brazil and santa clara cuba",
"in july it added campinas brazue and santa clara cuba",
"in july it added campinas brazil and santa clara cuba"
] |
in july it added campinas brazil and santa clara cuba
|
in july it added campinas brazil and santa clara cuba.
|
in july it added campinas brazil and santa clara cuba. in july it added campinas brazil and santa clara cuba. in july it added campinas brazue and santa clara cuba. in july it added campinas brazil and santa clara cuba.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in july it added campinas brazil and santa clara cuba', 'in july it added campinas brazil and santa clara cuba', 'in july it added campinas brazil and santa clara cuba', 'in july it added campinas brazue and santa clara cuba', 'in july it added campinas brazil and santa clara cuba']
|
|
[
"you were not quite clear enough after all grant",
"you were not quite clear enough after all grant",
"you are not quite clear enough after all grant",
"you are not quite clear enough after all grant",
"you will not quite clear enough after all grant"
] |
you were not quite clever enough after all grant
|
you were not quite clear enough after all grant.
|
you were not quite clear enough after all grant. you are not quite clear enough after all grant. you are not quite clear enough after all grant. you will not quite clear enough after all grant.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you were not quite clear enough after all grant', 'you were not quite clear enough after all grant', 'you are not quite clear enough after all grant', 'you are not quite clear enough after all grant', 'you will not quite clear enough after all grant']
|
|
[
"this series was rejected immediately by security researchers",
"this area was rejected immediately by security researchers",
"this syria was rejected immediately by security researchers",
"the syria was rejected immediately by security researchers",
"this series was rejected immediately by security researches"
] |
this theory was rejected immediately by security researchers
|
this series was rejected immediately by security researchers.
|
this area was rejected immediately by security researchers. this syria was rejected immediately by security researchers. the syria was rejected immediately by security researchers. this series was rejected immediately by security researches.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this series was rejected immediately by security researchers', 'this area was rejected immediately by security researchers', 'this syria was rejected immediately by security researchers', 'the syria was rejected immediately by security researchers', 'this series was rejected immediately by security researches']
|
|
[
"in march she gathered tankers during a strike on the plow islands",
"in march she guarded tankers during a strike on the plow islands",
"in march she guided tankers during a strike on the plow islands",
"in march she gathered tankers during a strike on the plow islands",
"in march she guarded tengos during a strike on the plow islands"
] |
in march she guarded tankers during a strike on the palau islands
|
in march she gathered tankers during a strike on the plow islands.
|
in march she guarded tankers during a strike on the plow islands. in march she guided tankers during a strike on the plow islands. in march she gathered tankers during a strike on the plow islands. in march she guarded tengos during a strike on the plow islands.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in march she gathered tankers during a strike on the plow islands', 'in march she guarded tankers during a strike on the plow islands', 'in march she guided tankers during a strike on the plow islands', 'in march she gathered tankers during a strike on the plow islands', 'in march she guarded tengos during a strike on the plow islands']
|
|
[
"take us boys we are allowed to unite for police purposes",
"take us boys we are allowed to unite for police purposes",
"the u s boys were allowed to unite for police purposes",
"take u s boys we are allowed to unite for police purposes",
"the u s boys were allowed to unite for police purposes"
] |
contiguous burghs were allowed to unite for police burgh purposes
|
take us boys we are allowed to unite for police purposes.
|
take us boys we are allowed to unite for police purposes. the u s boys were allowed to unite for police purposes. take u s boys we are allowed to unite for police purposes. the u s boys were allowed to unite for police purposes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['take us boys we are allowed to unite for police purposes', 'take us boys we are allowed to unite for police purposes', 'the u s boys were allowed to unite for police purposes', 'take u s boys we are allowed to unite for police purposes', 'the u s boys were allowed to unite for police purposes']
|
|
[
"the shiloh was one of the first american ships to arrive on the scene",
"the shailow was one of the first american ships to arrive on the scene",
"the shiler was one of the first american ships to arrive on the scene",
"the shiloh was one of the first american ships to arrive on the scene",
"the shiloh was one of the first american ships to arrive on the scene"
] |
the shiloh was one of the first american ships to arrive on scene
|
the shiloh was one of the first american ships to arrive on the scene.
|
the shailow was one of the first american ships to arrive on the scene. the shiler was one of the first american ships to arrive on the scene. the shiloh was one of the first american ships to arrive on the scene. the shiloh was one of the first american ships to arrive on the scene.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the shiloh was one of the first american ships to arrive on the scene', 'the shailow was one of the first american ships to arrive on the scene', 'the shiler was one of the first american ships to arrive on the scene', 'the shiloh was one of the first american ships to arrive on the scene', 'the shiloh was one of the first american ships to arrive on the scene']
|
|
[
"and when mars type he puts her to bed",
"and when master type he puts her to bed",
"and when he must have he puts her to bed",
"and when ma is time he puts her to bed",
"and when ma is time he puts her to bed"
] |
and when emma is tired he puts her to bed
|
and when mars type he puts her to bed.
|
and when master type he puts her to bed. and when he must have he puts her to bed. and when ma is time he puts her to bed. and when ma is time he puts her to bed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and when mars type he puts her to bed', 'and when master type he puts her to bed', 'and when he must have he puts her to bed', 'and when ma is time he puts her to bed', 'and when ma is time he puts her to bed']
|
|
[
"an alternate route bypassing the via dance was constructed by the department of conservation",
"an alternate route bypassing the viadance was constructed by the department of conservation",
"an alternate route bypassing the via dance was constructed by the department of conservation",
"an alternate route bypassing the viadance was constructed by the department of conservation",
"an alternate route bypassing the viadance was constructed by the department of conservation"
] |
an alternate route bypassing the viaduct was constructed by the department of conservation
|
an alternate route bypassing the via dance was constructed by the department of conservation.
|
an alternate route bypassing the viadance was constructed by the department of conservation. an alternate route bypassing the via dance was constructed by the department of conservation. an alternate route bypassing the viadance was constructed by the department of conservation. an alternate route bypassing the viadance was constructed by the department of conservation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['an alternate route bypassing the via dance was constructed by the department of conservation', 'an alternate route bypassing the viadance was constructed by the department of conservation', 'an alternate route bypassing the via dance was constructed by the department of conservation', 'an alternate route bypassing the viadance was constructed by the department of conservation', 'an alternate route bypassing the viadance was constructed by the department of conservation']
|
|
[
"this finding lead to maxwell is conjecture that light is an electromagnetic wave",
"this finding lead to maxwell is conjecture that light is an electromagnetic wheel",
"this finding led to maxwell is conjecture that light is an electromagnetic wave",
"this finding led to maxwell is conjecture that light is an electromagnetic wheel",
"this finding leads to maxwell is conjecture that light is an electromagnetic wave"
] |
this finding led to maxwell is conjecture that light is an electromagnetic wave
|
this finding lead to maxwell is conjecture that light is an electromagnetic wave.
|
this finding lead to maxwell is conjecture that light is an electromagnetic wheel. this finding led to maxwell is conjecture that light is an electromagnetic wave. this finding led to maxwell is conjecture that light is an electromagnetic wheel. this finding leads to maxwell is conjecture that light is an electromagnetic wave.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this finding lead to maxwell is conjecture that light is an electromagnetic wave', 'this finding lead to maxwell is conjecture that light is an electromagnetic wheel', 'this finding led to maxwell is conjecture that light is an electromagnetic wave', 'this finding led to maxwell is conjecture that light is an electromagnetic wheel', 'this finding leads to maxwell is conjecture that light is an electromagnetic wave']
|
|
[
"they adopted administrative and military roles outside the pudinjab region as well",
"they adopted administrative and military roles outside the punjab region as well",
"they adopted administrative and military roles outside the putin jab region as well",
"they adopted administrative and military roles outside the pudenjab region as well",
"they adopted administrative and military roles outside the pudinja region as well"
] |
they adopted administrative and military roles outside the punjab region as well
|
they adopted administrative and military roles outside the pudinjab region as well.
|
they adopted administrative and military roles outside the punjab region as well. they adopted administrative and military roles outside the putin jab region as well. they adopted administrative and military roles outside the pudenjab region as well. they adopted administrative and military roles outside the pudinja region as well.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they adopted administrative and military roles outside the pudinjab region as well', 'they adopted administrative and military roles outside the punjab region as well', 'they adopted administrative and military roles outside the putin jab region as well', 'they adopted administrative and military roles outside the pudenjab region as well', 'they adopted administrative and military roles outside the pudinja region as well']
|
|
[
"the island was infamous for being a pirate heaven",
"the island was in famous for being a pirate heaven",
"the island was infamous for being a pirate havern",
"the island was in famous for being a pirate heaven",
"the island was infamous for being a pirate heaven"
] |
the island was infamous for being a pirate haven
|
the island was infamous for being a pirate heaven.
|
the island was in famous for being a pirate heaven. the island was infamous for being a pirate havern. the island was in famous for being a pirate heaven. the island was infamous for being a pirate heaven.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the island was infamous for being a pirate heaven', 'the island was in famous for being a pirate heaven', 'the island was infamous for being a pirate havern', 'the island was in famous for being a pirate heaven', 'the island was infamous for being a pirate heaven']
|
|
[
"his mother was here and he wrote the note of former prime minister of romania",
"his mother was here and he wrote in our daughters of former prime minister of romania",
"his mother was here and grew up in our daughters of former prime minister of romania",
"his mother was here and he wrote no daughters of former prime minister of romania",
"his mother was here and there are no daughters of former prime minister of romania"
] |
his mother was helene epourano daughter of a former prime minister of romania
|
his mother was here and he wrote the note of former prime minister of romania.
|
his mother was here and he wrote in our daughters of former prime minister of romania. his mother was here and grew up in our daughters of former prime minister of romania. his mother was here and he wrote no daughters of former prime minister of romania. his mother was here and there are no daughters of former prime minister of romania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his mother was here and he wrote the note of former prime minister of romania', 'his mother was here and he wrote in our daughters of former prime minister of romania', 'his mother was here and grew up in our daughters of former prime minister of romania', 'his mother was here and he wrote no daughters of former prime minister of romania', 'his mother was here and there are no daughters of former prime minister of romania']
|
|
[
"a sheltered souvenir market is adjacent to the train station",
"a sheltered souvenir market is adjacent to the train station",
"a sheltered souvenier market is adjacent to the train station",
"a sheltered souvenir market is adjacent to the train station",
"a sheltered souvenir market is adjacent to the train station"
] |
a sheltered souvenir market is adjacent to the train station
|
a sheltered souvenir market is adjacent to the train station.
|
a sheltered souvenir market is adjacent to the train station. a sheltered souvenier market is adjacent to the train station. a sheltered souvenir market is adjacent to the train station. a sheltered souvenir market is adjacent to the train station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a sheltered souvenir market is adjacent to the train station', 'a sheltered souvenir market is adjacent to the train station', 'a sheltered souvenier market is adjacent to the train station', 'a sheltered souvenir market is adjacent to the train station', 'a sheltered souvenir market is adjacent to the train station']
|
|
[
"elk point was so named on account of the abundant elk in the area",
"elk point was so named on account of the abundant elk in the area",
"elk point was so named on account of the abundant elk in the area",
"elk point was so named on account of the abundant elk in the area",
"elk point was so named on account of the abundant elk in the area"
] |
elk point was so named on account of the abundant elk in the area
|
elk point was so named on account of the abundant elk in the area.
|
elk point was so named on account of the abundant elk in the area. elk point was so named on account of the abundant elk in the area. elk point was so named on account of the abundant elk in the area. elk point was so named on account of the abundant elk in the area.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['elk point was so named on account of the abundant elk in the area', 'elk point was so named on account of the abundant elk in the area', 'elk point was so named on account of the abundant elk in the area', 'elk point was so named on account of the abundant elk in the area', 'elk point was so named on account of the abundant elk in the area']
|
|
[
"abdominal scales large smooth rounded imbricate",
"abdominal scales large smooth rounded imprecate",
"abdominal scales large smooth rounded intricate",
"aptominal scales large smooth rounded imprecate",
"abtominal scales large smooth rounded imprecate"
] |
abdominal scales large smooth rounded imbricate
|
abdominal scales large smooth rounded imbricate.
|
abdominal scales large smooth rounded imprecate. abdominal scales large smooth rounded intricate. aptominal scales large smooth rounded imprecate. abtominal scales large smooth rounded imprecate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['abdominal scales large smooth rounded imbricate', 'abdominal scales large smooth rounded imprecate', 'abdominal scales large smooth rounded intricate', 'aptominal scales large smooth rounded imprecate', 'abtominal scales large smooth rounded imprecate']
|
|
[
"family sound was distinguished by several factors",
"family sound was distinguished by several factors",
"family sound was distinguished by several factors",
"the family sound was distinguished by several factors",
"family sound was distinguished by several factors"
] |
family is sound was distinguished by several factors
|
family sound was distinguished by several factors.
|
family sound was distinguished by several factors. family sound was distinguished by several factors. the family sound was distinguished by several factors. family sound was distinguished by several factors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['family sound was distinguished by several factors', 'family sound was distinguished by several factors', 'family sound was distinguished by several factors', 'the family sound was distinguished by several factors', 'family sound was distinguished by several factors']
|
|
[
"it is similar to n o n o d",
"it is similar to n o n o d",
"it is similar to n o n o d",
"it is similar to n o m d",
"it is similar to n o u d"
] |
it is similar to anno mundi
|
it is similar to n o n o d.
|
it is similar to n o n o d. it is similar to n o n o d. it is similar to n o m d. it is similar to n o u d.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is similar to n o n o d', 'it is similar to n o n o d', 'it is similar to n o n o d', 'it is similar to n o m d', 'it is similar to n o u d']
|
|
[
"obeyem paley offered wealth security and wealth",
"for bame pally offered wealth security and wealth",
"for baim paley offered wealth security and wealth",
"for bame ple offered wealth security and wealth",
"obeyem pally offered wealth security and wealth"
] |
for babe paley offered wealth security and worldliness
|
obeyem paley offered wealth security and wealth.
|
for bame pally offered wealth security and wealth. for baim paley offered wealth security and wealth. for bame ple offered wealth security and wealth. obeyem pally offered wealth security and wealth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['obeyem paley offered wealth security and wealth', 'for bame pally offered wealth security and wealth', 'for baim paley offered wealth security and wealth', 'for bame ple offered wealth security and wealth', 'obeyem pally offered wealth security and wealth']
|
|
[
"the shah had also passed a decree ordering the forced conversion of zoroastrians",
"the shah had also passed the decree ordering the forced conversion of zoroastrians",
"the shah had also passed the decree ordering the forced conversion of zoroastrians",
"the shah had also passed a decree ordering the forced conversion of zoroastrians",
"the shah had also passed a decree ordering the forced conversion of zoroastrian is"
] |
the shah had also passed a decree ordering the forced conversion of zoroastrians
|
the shah had also passed a decree ordering the forced conversion of zoroastrians.
|
the shah had also passed the decree ordering the forced conversion of zoroastrians. the shah had also passed the decree ordering the forced conversion of zoroastrians. the shah had also passed a decree ordering the forced conversion of zoroastrians. the shah had also passed a decree ordering the forced conversion of zoroastrian is.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the shah had also passed a decree ordering the forced conversion of zoroastrians', 'the shah had also passed the decree ordering the forced conversion of zoroastrians', 'the shah had also passed the decree ordering the forced conversion of zoroastrians', 'the shah had also passed a decree ordering the forced conversion of zoroastrians', 'the shah had also passed a decree ordering the forced conversion of zoroastrian is']
|
|
[
"this implies conscious use of the astral body",
"this implies conscious use of the australian body",
"this implies conscious use of the astral body",
"this implies conscious use of the asterisk body",
"this implies conscious use of the astrill body"
] |
this implies conscious use of the astral body
|
this implies conscious use of the astral body.
|
this implies conscious use of the australian body. this implies conscious use of the astral body. this implies conscious use of the asterisk body. this implies conscious use of the astrill body.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this implies conscious use of the astral body', 'this implies conscious use of the australian body', 'this implies conscious use of the astral body', 'this implies conscious use of the asterisk body', 'this implies conscious use of the astrill body']
|
|
[
"santa maria and his clandestine movement",
"santamaria and his clandestine movement",
"santa maria and his clandestine movement",
"santamaria and his clandestine movement",
"santamaria and his clandestine movement"
] |
santamaria and his clandestine movement
|
santa maria and his clandestine movement.
|
santamaria and his clandestine movement. santa maria and his clandestine movement. santamaria and his clandestine movement. santamaria and his clandestine movement.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['santa maria and his clandestine movement', 'santamaria and his clandestine movement', 'santa maria and his clandestine movement', 'santamaria and his clandestine movement', 'santamaria and his clandestine movement']
|
|
[
"cummings lift the band after the recordings of their debut album",
"coming left to the band after the recordings of their debut album",
"coming is left to the band after the recordings of their debut album",
"coming lift the band after the recordings of their debut album",
"comings left to the band after the recordings of their debut album"
] |
cummings left the band after the recording of their debut album
|
cummings lift the band after the recordings of their debut album.
|
coming left to the band after the recordings of their debut album. coming is left to the band after the recordings of their debut album. coming lift the band after the recordings of their debut album. comings left to the band after the recordings of their debut album.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cummings lift the band after the recordings of their debut album', 'coming left to the band after the recordings of their debut album', 'coming is left to the band after the recordings of their debut album', 'coming lift the band after the recordings of their debut album', 'comings left to the band after the recordings of their debut album']
|
|
[
"the distribution of the rainfall changes in the direction from north to south",
"the distribution of the rainfall changes in the direction from not to south",
"the distribution of the rainfall changes in the direction from north to south",
"so the distribution of the rainfall changes in the direction from north to south",
"the distribution of the rainfall changes in the direction from the north to south"
] |
the distribution of the rainfall changes in the direction from north to south
|
the distribution of the rainfall changes in the direction from north to south.
|
the distribution of the rainfall changes in the direction from not to south. the distribution of the rainfall changes in the direction from north to south. so the distribution of the rainfall changes in the direction from north to south. the distribution of the rainfall changes in the direction from the north to south.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the distribution of the rainfall changes in the direction from north to south', 'the distribution of the rainfall changes in the direction from not to south', 'the distribution of the rainfall changes in the direction from north to south', 'so the distribution of the rainfall changes in the direction from north to south', 'the distribution of the rainfall changes in the direction from the north to south']
|
|
[
"the primary industries are electronics textiles fibers rubbin plastic and metal products",
"the primary industries are electronics textiles fibers rubbin plastic and metal products",
"the primary industries are electronics textiles fibers rubb and plastic and metal products",
"the primary industries are electronics textiles fibers rubble plastic and metal products",
"the primary industries are electronics textiles fibers rubbed plastic and metal products"
] |
the primary industries are electronics textiles fibers rubber plastic and metal products
|
the primary industries are electronics textiles fibers rubbin plastic and metal products.
|
the primary industries are electronics textiles fibers rubbin plastic and metal products. the primary industries are electronics textiles fibers rubb and plastic and metal products. the primary industries are electronics textiles fibers rubble plastic and metal products. the primary industries are electronics textiles fibers rubbed plastic and metal products.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the primary industries are electronics textiles fibers rubbin plastic and metal products', 'the primary industries are electronics textiles fibers rubbin plastic and metal products', 'the primary industries are electronics textiles fibers rubb and plastic and metal products', 'the primary industries are electronics textiles fibers rubble plastic and metal products', 'the primary industries are electronics textiles fibers rubbed plastic and metal products']
|
|
[
"it was the largest fall wooden bridge that was built at the time",
"it was the largest fault wooden bridge is built at the time",
"it was the largest fall wooden bridges built at the time",
"it was the largest fault wooden bridges built at the time",
"it was the largest fall wooden bridge that just built at the time"
] |
it was the largest of all wooden bridges built at the time
|
it was the largest fall wooden bridge that was built at the time.
|
it was the largest fault wooden bridge is built at the time. it was the largest fall wooden bridges built at the time. it was the largest fault wooden bridges built at the time. it was the largest fall wooden bridge that just built at the time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the largest fall wooden bridge that was built at the time', 'it was the largest fault wooden bridge is built at the time', 'it was the largest fall wooden bridges built at the time', 'it was the largest fault wooden bridges built at the time', 'it was the largest fall wooden bridge that just built at the time']
|
|
[
"french citizens were also installed",
"french citizens were also instilled",
"french citizens were also in store",
"french citizens were also installed",
"french citizens were also installed"
] |
french citizens were also installed
|
french citizens were also installed.
|
french citizens were also instilled. french citizens were also in store. french citizens were also installed. french citizens were also installed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['french citizens were also installed', 'french citizens were also instilled', 'french citizens were also in store', 'french citizens were also installed', 'french citizens were also installed']
|
|
[
"about her acting she was least of all satisfied",
"about her acting she was least of all satisfied",
"about her acting she was least of all satisfied",
"about her acting she was least of all satisfied",
"about her acting she was least of all satisfied"
] |
about her acting she was least of all satisfied
|
about her acting she was least of all satisfied.
|
about her acting she was least of all satisfied. about her acting she was least of all satisfied. about her acting she was least of all satisfied. about her acting she was least of all satisfied.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['about her acting she was least of all satisfied', 'about her acting she was least of all satisfied', 'about her acting she was least of all satisfied', 'about her acting she was least of all satisfied', 'about her acting she was least of all satisfied']
|
|
[
"in this his voice is used along with steve pemberton and mark gattis",
"in this his voice is used along with steve bemberton and mark gattis",
"in this his voice is used along with steve pemberton and mark gattis",
"in this his voice is used along with steve bemberton and mark gattis",
"in this his voice is used along with steve bemberton and mark gattis"
] |
in this his voice is used along with steve pemberton and mark gatiss
|
in this his voice is used along with steve pemberton and mark gattis.
|
in this his voice is used along with steve bemberton and mark gattis. in this his voice is used along with steve pemberton and mark gattis. in this his voice is used along with steve bemberton and mark gattis. in this his voice is used along with steve bemberton and mark gattis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this his voice is used along with steve pemberton and mark gattis', 'in this his voice is used along with steve bemberton and mark gattis', 'in this his voice is used along with steve pemberton and mark gattis', 'in this his voice is used along with steve bemberton and mark gattis', 'in this his voice is used along with steve bemberton and mark gattis']
|
|
[
"the accident remains the deadliest construction accident in both otawa and nontario history",
"the accident remains the deadliest construction accident in both otawa and ontario history",
"the accident remains the deadliest construction accident in both ottawa and ontario history",
"the accident remains the deadliest construction accident in both otawa and nontario history",
"the accident remains the deadliest construction accident in both otawa and nontario history"
] |
the accident remains the deadliest construction accident in both ottawa and ontario history
|
the accident remains the deadliest construction accident in both otawa and nontario history.
|
the accident remains the deadliest construction accident in both otawa and ontario history. the accident remains the deadliest construction accident in both ottawa and ontario history. the accident remains the deadliest construction accident in both otawa and nontario history. the accident remains the deadliest construction accident in both otawa and nontario history.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the accident remains the deadliest construction accident in both otawa and nontario history', 'the accident remains the deadliest construction accident in both otawa and ontario history', 'the accident remains the deadliest construction accident in both ottawa and ontario history', 'the accident remains the deadliest construction accident in both otawa and nontario history', 'the accident remains the deadliest construction accident in both otawa and nontario history']
|
|
[
"the files are useless without the encryption keys",
"the files are useless without the encryption keys",
"the files are useless without the encryption keys",
"the files are useless without the encryption keys",
"the files are useless without the encryption keys"
] |
the files are useless without the encryption keys
|
the files are useless without the encryption keys.
|
the files are useless without the encryption keys. the files are useless without the encryption keys. the files are useless without the encryption keys. the files are useless without the encryption keys.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the files are useless without the encryption keys', 'the files are useless without the encryption keys', 'the files are useless without the encryption keys', 'the files are useless without the encryption keys', 'the files are useless without the encryption keys']
|
|
[
"it hosted four of the six group c matches",
"it hosted four of the six groups in matches",
"it hosted four of the six group c matches",
"it hosted four of the six group c matches",
"it hosted four of the six groups c matches"
] |
it hosted four of the six group c matches
|
it hosted four of the six group c matches.
|
it hosted four of the six groups in matches. it hosted four of the six group c matches. it hosted four of the six group c matches. it hosted four of the six groups c matches.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it hosted four of the six group c matches', 'it hosted four of the six groups in matches', 'it hosted four of the six group c matches', 'it hosted four of the six group c matches', 'it hosted four of the six groups c matches']
|
|
[
"the two islands are known today as the north and south manito islands",
"the two islands are known today as the north and south manito islands",
"the two islands are known today as the north and south many two islands",
"the two islands are known today as the north and south manitoh islands",
"the two islands are known today as the north and south manyto islands"
] |
the two islands are known today as the north and south manitou islands
|
the two islands are known today as the north and south manito islands.
|
the two islands are known today as the north and south manito islands. the two islands are known today as the north and south many two islands. the two islands are known today as the north and south manitoh islands. the two islands are known today as the north and south manyto islands.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the two islands are known today as the north and south manito islands', 'the two islands are known today as the north and south manito islands', 'the two islands are known today as the north and south many two islands', 'the two islands are known today as the north and south manitoh islands', 'the two islands are known today as the north and south manyto islands']
|
|
[
"the agnes is the address generator chip",
"the agnes is the address generator chip",
"the agnes is the address generated chip",
"the agnus is the address generator chip",
"the agnus is the address generator chip"
] |
the agnus is the address generator chip
|
the agnes is the address generator chip.
|
the agnes is the address generator chip. the agnes is the address generated chip. the agnus is the address generator chip. the agnus is the address generator chip.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the agnes is the address generator chip', 'the agnes is the address generator chip', 'the agnes is the address generated chip', 'the agnus is the address generator chip', 'the agnus is the address generator chip']
|
|
[
"tom lee engineering limited is a wholly owned subsidiary of tom lee music",
"tom lee engineering limited is a holy owned subsidiary of tom lee music",
"tom lee engineering limited is the holy owned subsidiary of tom lee music",
"tom lee engineering ltd is a wholly owned subsidiary of tom lee music",
"tom lee engineering limited is a holy owned subsidiary of tom lee music"
] |
tom lee engineering limited is a wholly owned subsidiary of tom lee music
|
tom lee engineering limited is a wholly owned subsidiary of tom lee music.
|
tom lee engineering limited is a holy owned subsidiary of tom lee music. tom lee engineering limited is the holy owned subsidiary of tom lee music. tom lee engineering ltd is a wholly owned subsidiary of tom lee music. tom lee engineering limited is a holy owned subsidiary of tom lee music.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tom lee engineering limited is a wholly owned subsidiary of tom lee music', 'tom lee engineering limited is a holy owned subsidiary of tom lee music', 'tom lee engineering limited is the holy owned subsidiary of tom lee music', 'tom lee engineering ltd is a wholly owned subsidiary of tom lee music', 'tom lee engineering limited is a holy owned subsidiary of tom lee music']
|
|
[
"farms also might have grassmen who have rights only to grazing",
"farms also might have grass men who have rights only to grazing",
"farms also might have grassmen who have rights only to grazing",
"farms also might have grassmen who have rites only to grazing",
"farms also might have grassmen who have rights only to grazing"
] |
farms also might have grassmen who had rights only to grazing
|
farms also might have grassmen who have rights only to grazing.
|
farms also might have grass men who have rights only to grazing. farms also might have grassmen who have rights only to grazing. farms also might have grassmen who have rites only to grazing. farms also might have grassmen who have rights only to grazing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['farms also might have grassmen who have rights only to grazing', 'farms also might have grass men who have rights only to grazing', 'farms also might have grassmen who have rights only to grazing', 'farms also might have grassmen who have rites only to grazing', 'farms also might have grassmen who have rights only to grazing']
|
|
[
"he spent his career playing for arsenal middlesbrough hall city",
"he spent his career playing for arsenal middlesborough hall city",
"he spent his career playing for arsenal middlesbrough hull city",
"he is spent his career playing for arsenal middlesbrough hall city",
"he is spent his career playing for arsenal middlesbrough hall city"
] |
he spent his career playing for arsenal middlesbrough hull city
|
he spent his career playing for arsenal middlesbrough hall city.
|
he spent his career playing for arsenal middlesborough hall city. he spent his career playing for arsenal middlesbrough hull city. he is spent his career playing for arsenal middlesbrough hall city. he is spent his career playing for arsenal middlesbrough hall city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he spent his career playing for arsenal middlesbrough hall city', 'he spent his career playing for arsenal middlesborough hall city', 'he spent his career playing for arsenal middlesbrough hull city', 'he is spent his career playing for arsenal middlesbrough hall city', 'he is spent his career playing for arsenal middlesbrough hall city']
|
|
[
"nominated constituted and appointed",
"nominated constituted and appointed",
"nominated constituted and appointed",
"nominated constituted and appointed",
"nominated constituted and appointed"
] |
nominated constituted and appointed
|
nominated constituted and appointed.
|
nominated constituted and appointed. nominated constituted and appointed. nominated constituted and appointed. nominated constituted and appointed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nominated constituted and appointed', 'nominated constituted and appointed', 'nominated constituted and appointed', 'nominated constituted and appointed', 'nominated constituted and appointed']
|
|
[
"it stages six productions a year including the annual production of a christmas carom",
"it stages six productions a year including the annual production of a christmas caram",
"it stages six productions a year including the annual production of a christmas karam",
"it stages six productions a year including the annual production of a christmas carom",
"it stages six productions a year including the annual production of a christmas caram"
] |
it stages six productions a year including the annual production of a christmas carol
|
it stages six productions a year including the annual production of a christmas carom.
|
it stages six productions a year including the annual production of a christmas caram. it stages six productions a year including the annual production of a christmas karam. it stages six productions a year including the annual production of a christmas carom. it stages six productions a year including the annual production of a christmas caram.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it stages six productions a year including the annual production of a christmas carom', 'it stages six productions a year including the annual production of a christmas caram', 'it stages six productions a year including the annual production of a christmas karam', 'it stages six productions a year including the annual production of a christmas carom', 'it stages six productions a year including the annual production of a christmas caram']
|
|
[
"he studied acting at the central school of speech and drama",
"he studied acting at the central school of speech and drama",
"he studied acting at the central school of speech and drama",
"he studied axing at the central school of speech and drama",
"he studied axing at the central school of speech and drama"
] |
he studied acting at the central school of speech and drama
|
he studied acting at the central school of speech and drama.
|
he studied acting at the central school of speech and drama. he studied acting at the central school of speech and drama. he studied axing at the central school of speech and drama. he studied axing at the central school of speech and drama.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he studied acting at the central school of speech and drama', 'he studied acting at the central school of speech and drama', 'he studied acting at the central school of speech and drama', 'he studied axing at the central school of speech and drama', 'he studied axing at the central school of speech and drama']
|
|
[
"puffs of wind kim",
"puffs of winged king",
"puffs of wind came",
"puffs of wind kym",
"puffs of winged kim"
] |
puffs of wind came
|
puffs of wind kim.
|
puffs of winged king. puffs of wind came. puffs of wind kym. puffs of winged kim.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['puffs of wind kim', 'puffs of winged king', 'puffs of wind came', 'puffs of wind kym', 'puffs of winged kim']
|
|
[
"the earth negotiations brought her published a summary of the meeting",
"the earth negotiations brought her published a summary of the meeting",
"the earth is negotiations brought her published a summary of the meeting",
"the earth is negotiations brought her published a summary of the meeting",
"the earth negotiations brought her published a summary of the meeting"
] |
the earth negotiations bulletin published a summary of the meeting
|
the earth negotiations brought her published a summary of the meeting.
|
the earth negotiations brought her published a summary of the meeting. the earth is negotiations brought her published a summary of the meeting. the earth is negotiations brought her published a summary of the meeting. the earth negotiations brought her published a summary of the meeting.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the earth negotiations brought her published a summary of the meeting', 'the earth negotiations brought her published a summary of the meeting', 'the earth is negotiations brought her published a summary of the meeting', 'the earth is negotiations brought her published a summary of the meeting', 'the earth negotiations brought her published a summary of the meeting']
|
|
[
"buzz had its head office was in the end of your house",
"buzz had its head office was in an individual house",
"buzz had its head office was in indie warehouse",
"buzz had its head office was an individual house",
"buzz had its head office for the indie warehouse"
] |
buzz had its head office was in endeavor house
|
buzz had its head office was in the end of your house.
|
buzz had its head office was in an individual house. buzz had its head office was in indie warehouse. buzz had its head office was an individual house. buzz had its head office for the indie warehouse.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['buzz had its head office was in the end of your house', 'buzz had its head office was in an individual house', 'buzz had its head office was in indie warehouse', 'buzz had its head office was an individual house', 'buzz had its head office for the indie warehouse']
|
|
[
"such undertakings may include a wide range of remedies to the conduct",
"such undertakings may include a wide range of remedies to the conduct",
"such undertakings may include a wide range of remedies to conduct",
"such undertakings may include a wide range of remedies to the conduct",
"such undertakings may include a wide range of remedies to the conduct"
] |
such undertakings may include a wide range of remedies to the conduct
|
such undertakings may include a wide range of remedies to the conduct.
|
such undertakings may include a wide range of remedies to the conduct. such undertakings may include a wide range of remedies to conduct. such undertakings may include a wide range of remedies to the conduct. such undertakings may include a wide range of remedies to the conduct.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['such undertakings may include a wide range of remedies to the conduct', 'such undertakings may include a wide range of remedies to the conduct', 'such undertakings may include a wide range of remedies to conduct', 'such undertakings may include a wide range of remedies to the conduct', 'such undertakings may include a wide range of remedies to the conduct']
|
|
[
"a couple at standing at the corner embracing",
"a couple at standing at the corner embracing",
"a couple at standing at the corner embracing",
"a couple at standing at the corner embracing",
"a couple at standing at the corner embracing"
] |
a couple at standing at the corner embracing
|
a couple at standing at the corner embracing.
|
a couple at standing at the corner embracing. a couple at standing at the corner embracing. a couple at standing at the corner embracing. a couple at standing at the corner embracing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a couple at standing at the corner embracing', 'a couple at standing at the corner embracing', 'a couple at standing at the corner embracing', 'a couple at standing at the corner embracing', 'a couple at standing at the corner embracing']
|
|
[
"the parts were constructed in a dry dock",
"the parts were constructed in a dry dog",
"the parts were constructed in a dry dock",
"the parts were constructed in a dry dark",
"the parts were constructed in a dry dock"
] |
the parts were constructed in a dry dock
|
the parts were constructed in a dry dock.
|
the parts were constructed in a dry dog. the parts were constructed in a dry dock. the parts were constructed in a dry dark. the parts were constructed in a dry dock.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the parts were constructed in a dry dock', 'the parts were constructed in a dry dog', 'the parts were constructed in a dry dock', 'the parts were constructed in a dry dark', 'the parts were constructed in a dry dock']
|
|
[
"prior to entering politics brown was a research scientist",
"prior to entering politics bran was a research scientist",
"prior to entering politics bran was a research scientist",
"prior to entering politics brown was a research scientist",
"pirate to entering politics bran was a research scientist"
] |
prior to entering politics brown was a research scientist
|
prior to entering politics brown was a research scientist.
|
prior to entering politics bran was a research scientist. prior to entering politics bran was a research scientist. prior to entering politics brown was a research scientist. pirate to entering politics bran was a research scientist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['prior to entering politics brown was a research scientist', 'prior to entering politics bran was a research scientist', 'prior to entering politics bran was a research scientist', 'prior to entering politics brown was a research scientist', 'pirate to entering politics bran was a research scientist']
|
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