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
|
|---|---|---|---|---|---|---|---|---|
[
"here are the only waste hard black steel fences",
"here are the only waste hard black steel fences",
"here are the only waste hot black steel fences",
"here are only waste hard black steel fences",
"here are the only waste hot black steel fences"
] |
here there are only waist high black steel fences
|
here are the only waste hard black steel fences.
|
here are the only waste hard black steel fences. here are the only waste hot black steel fences. here are only waste hard black steel fences. here are the only waste hot black steel fences.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['here are the only waste hard black steel fences', 'here are the only waste hard black steel fences', 'here are the only waste hot black steel fences', 'here are only waste hard black steel fences', 'here are the only waste hot black steel fences']
|
|
[
"this property is rare in non linear equations",
"this property is rare in nonlinear equations",
"this property is rare in non linear equations",
"this property is rare in non linear equations",
"this property is rare in nonlinear equations"
] |
this property is rare in nonlinear equations
|
this property is rare in non linear equations.
|
this property is rare in nonlinear equations. this property is rare in non linear equations. this property is rare in non linear equations. this property is rare in nonlinear equations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this property is rare in non linear equations', 'this property is rare in nonlinear equations', 'this property is rare in non linear equations', 'this property is rare in non linear equations', 'this property is rare in nonlinear equations']
|
|
[
"solar wind parameters were measured for a much longer time period",
"solo wind parameters were measured for a much longer time period",
"solo wind parameters were measured for a much longer time period",
"solowind parameters were measured for a much longer time period",
"solar wind parameters were measured for a much longer time period"
] |
solar wind parameters were measured for a much longer time period
|
solar wind parameters were measured for a much longer time period.
|
solo wind parameters were measured for a much longer time period. solo wind parameters were measured for a much longer time period. solowind parameters were measured for a much longer time period. solar wind parameters were measured for a much longer time period.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['solar wind parameters were measured for a much longer time period', 'solo wind parameters were measured for a much longer time period', 'solo wind parameters were measured for a much longer time period', 'solowind parameters were measured for a much longer time period', 'solar wind parameters were measured for a much longer time period']
|
|
[
"another maka kahun was inhabited by muslims and administered by clerics",
"another maka kahung was inhabited by muslims and administered by clerics",
"another maka kahoon was inhabited by muslims and administered by clerics",
"another makakahun was inhabited by muslims and administered by clerics",
"another maqqahun was inhabited by muslims and administered by clerics"
] |
another maka kahone was inhabited by muslims and administered by clerics
|
another maka kahun was inhabited by muslims and administered by clerics.
|
another maka kahung was inhabited by muslims and administered by clerics. another maka kahoon was inhabited by muslims and administered by clerics. another makakahun was inhabited by muslims and administered by clerics. another maqqahun was inhabited by muslims and administered by clerics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another maka kahun was inhabited by muslims and administered by clerics', 'another maka kahung was inhabited by muslims and administered by clerics', 'another maka kahoon was inhabited by muslims and administered by clerics', 'another makakahun was inhabited by muslims and administered by clerics', 'another maqqahun was inhabited by muslims and administered by clerics']
|
|
[
"it was not after witnessing low success did mal started to praise low is effort",
"it was not after witnessing low success did mal started to praise low is effort",
"it was not after witnessing low success did mal started to praise low is effort",
"it was not after witnessing low successed mal started to praise low is effort",
"it was not after witnessing low success did mal started to praise low is effort"
] |
it was not after witnessing luo is success did mao started to praise luo is effort
|
it was not after witnessing low success did mal started to praise low is effort.
|
it was not after witnessing low success did mal started to praise low is effort. it was not after witnessing low success did mal started to praise low is effort. it was not after witnessing low successed mal started to praise low is effort. it was not after witnessing low success did mal started to praise low is effort.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was not after witnessing low success did mal started to praise low is effort', 'it was not after witnessing low success did mal started to praise low is effort', 'it was not after witnessing low success did mal started to praise low is effort', 'it was not after witnessing low successed mal started to praise low is effort', 'it was not after witnessing low success did mal started to praise low is effort']
|
|
[
"i could take my money where i found it",
"i could take my money where i found it",
"i could take my money where i found it",
"i could take my money where i found it",
"i could take my money where i found it"
] |
i could take my money where i found it
|
i could take my money where i found it.
|
i could take my money where i found it. i could take my money where i found it. i could take my money where i found it. i could take my money where i found it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i could take my money where i found it', 'i could take my money where i found it', 'i could take my money where i found it', 'i could take my money where i found it', 'i could take my money where i found it']
|
|
[
"the office is pronouncing its lord leaf tunnet",
"the office is pronounced as lord lifetunner",
"the office is pronouncing its lordeleaf tunnel",
"the office is pronouncing its lord leaf tunnel",
"the office is pronounced as lord lieftunner"
] |
the office is pronounced as lord lef tenant
|
the office is pronouncing its lord leaf tunnet.
|
the office is pronounced as lord lifetunner. the office is pronouncing its lordeleaf tunnel. the office is pronouncing its lord leaf tunnel. the office is pronounced as lord lieftunner.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the office is pronouncing its lord leaf tunnet', 'the office is pronounced as lord lifetunner', 'the office is pronouncing its lordeleaf tunnel', 'the office is pronouncing its lord leaf tunnel', 'the office is pronounced as lord lieftunner']
|
|
[
"he was not seriously injured and determined to go to the city center",
"he was not seriously injured and it remained to go to the city center",
"he was not seriously injured and determined to go to the city center",
"he was not seriously injured and declined to go to the city center",
"he was not seriously injured and demanding to go to the city center"
] |
he was not seriously injured and determined to go to the city center
|
he was not seriously injured and determined to go to the city center.
|
he was not seriously injured and it remained to go to the city center. he was not seriously injured and determined to go to the city center. he was not seriously injured and declined to go to the city center. he was not seriously injured and demanding to go to the city center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was not seriously injured and determined to go to the city center', 'he was not seriously injured and it remained to go to the city center', 'he was not seriously injured and determined to go to the city center', 'he was not seriously injured and declined to go to the city center', 'he was not seriously injured and demanding to go to the city center']
|
|
[
"according to the senators rivery cooper smetan was one site in favor of the canadian",
"according to the senators rivery cooper smetan was one site in favor of the canadian",
"according to the senators referee coper smithon was one site in favor of the canadian",
"according to the senators rivery cooper smetan was one site in favor of the canada",
"according to the senators referee copers meet on was one site in favor of the canadian"
] |
according to the senators referee cooper smeaton was one sided in favor of the canadiens
|
according to the senators rivery cooper smetan was one site in favor of the canadian.
|
according to the senators rivery cooper smetan was one site in favor of the canadian. according to the senators referee coper smithon was one site in favor of the canadian. according to the senators rivery cooper smetan was one site in favor of the canada. according to the senators referee copers meet on was one site in favor of the canadian.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to the senators rivery cooper smetan was one site in favor of the canadian', 'according to the senators rivery cooper smetan was one site in favor of the canadian', 'according to the senators referee coper smithon was one site in favor of the canadian', 'according to the senators rivery cooper smetan was one site in favor of the canada', 'according to the senators referee copers meet on was one site in favor of the canadian']
|
|
[
"its rivers and creeks in disperse throughout the length and breadth of the municipality",
"it is rivers and creeks indispers throughout the length and breadth of the municipality",
"its rivers and creeks interspersed throughout the length and breadth of the municipality",
"its rivers and creeks indispers throughout the length and breadth of the municipality",
"its rivers and creeks interspers throughout the length and breadth of the municipality"
] |
its rivers and creeks intersperse throughout the length and breadth of the municipality
|
its rivers and creeks in disperse throughout the length and breadth of the municipality.
|
it is rivers and creeks indispers throughout the length and breadth of the municipality. its rivers and creeks interspersed throughout the length and breadth of the municipality. its rivers and creeks indispers throughout the length and breadth of the municipality. its rivers and creeks interspers throughout the length and breadth of the municipality.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its rivers and creeks in disperse throughout the length and breadth of the municipality', 'it is rivers and creeks indispers throughout the length and breadth of the municipality', 'its rivers and creeks interspersed throughout the length and breadth of the municipality', 'its rivers and creeks indispers throughout the length and breadth of the municipality', 'its rivers and creeks interspers throughout the length and breadth of the municipality']
|
|
[
"no i see it there is no way out",
"no i see it there is no way out",
"no i see there is no way out",
"no i see there is no way out",
"no i see there is no way out"
] |
no i see there is no way out
|
no i see it there is no way out.
|
no i see it there is no way out. no i see there is no way out. no i see there is no way out. no i see there is no way out.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['no i see it there is no way out', 'no i see it there is no way out', 'no i see there is no way out', 'no i see there is no way out', 'no i see there is no way out']
|
|
[
"this region of southwest washington is noted for its complex topography and volcanic geology",
"this region of southwest washington is noted for its complex topography and volcanic geology",
"this region of south west washington is noted for its complex topography and volcanic geology",
"this region of southwest washington is noted for its complex topography and volcanic geology",
"this region of southwest washington is noted for its complex topography and volcanic geology"
] |
this region of southwest washington is noted for its complex topography and volcanic geology
|
this region of southwest washington is noted for its complex topography and volcanic geology.
|
this region of southwest washington is noted for its complex topography and volcanic geology. this region of south west washington is noted for its complex topography and volcanic geology. this region of southwest washington is noted for its complex topography and volcanic geology. this region of southwest washington is noted for its complex topography and volcanic geology.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this region of southwest washington is noted for its complex topography and volcanic geology', 'this region of southwest washington is noted for its complex topography and volcanic geology', 'this region of south west washington is noted for its complex topography and volcanic geology', 'this region of southwest washington is noted for its complex topography and volcanic geology', 'this region of southwest washington is noted for its complex topography and volcanic geology']
|
|
[
"sural is remembered today for his age graphic crimes of alcohol disease stomachs",
"sural is remembered today for his age graphic crimes of alcohol diseased stomachs",
"sural is remembered today for his age graphic crimes of alcohol diseased stomachs",
"sural is remembered today for his eight graphic lines of alcohol diseased stomachs",
"sural is remembered today for his age graphic lines of alcohol diseased stomachs"
] |
sewell is remembered today for his eight graphic drawings of alcohol diseased stomachs
|
sural is remembered today for his age graphic crimes of alcohol disease stomachs.
|
sural is remembered today for his age graphic crimes of alcohol diseased stomachs. sural is remembered today for his age graphic crimes of alcohol diseased stomachs. sural is remembered today for his eight graphic lines of alcohol diseased stomachs. sural is remembered today for his age graphic lines of alcohol diseased stomachs.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sural is remembered today for his age graphic crimes of alcohol disease stomachs', 'sural is remembered today for his age graphic crimes of alcohol diseased stomachs', 'sural is remembered today for his age graphic crimes of alcohol diseased stomachs', 'sural is remembered today for his eight graphic lines of alcohol diseased stomachs', 'sural is remembered today for his age graphic lines of alcohol diseased stomachs']
|
|
[
"carter is bear creek blues and blaze four is clay pigeons",
"carter is bear creek blues and blaze four is clay pigeons",
"carter is bare creek blues and blaze four is clay pigeons",
"carter is bear cream blues and place four ways clay pigeons",
"carter is bear creek blues and blaze four is clay pigeons"
] |
carter is bear creek blues and blaze foley is clay pigeons
|
carter is bear creek blues and blaze four is clay pigeons.
|
carter is bear creek blues and blaze four is clay pigeons. carter is bare creek blues and blaze four is clay pigeons. carter is bear cream blues and place four ways clay pigeons. carter is bear creek blues and blaze four is clay pigeons.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['carter is bear creek blues and blaze four is clay pigeons', 'carter is bear creek blues and blaze four is clay pigeons', 'carter is bare creek blues and blaze four is clay pigeons', 'carter is bear cream blues and place four ways clay pigeons', 'carter is bear creek blues and blaze four is clay pigeons']
|
|
[
"nevertheless these gains were balanced out by losses elsewhere in the country",
"nevertheless these gains are balanced out by losses elsewhere in the country",
"nevertheless these gains were balanced out by losses all swear in the country",
"nevertheless these gains are balanced out by losses all swear in the country",
"nevertheless these gains were balanced out by losses elsewhere in the country"
] |
nevertheless these gains were balanced out by losses elsewhere in the country
|
nevertheless these gains were balanced out by losses elsewhere in the country.
|
nevertheless these gains are balanced out by losses elsewhere in the country. nevertheless these gains were balanced out by losses all swear in the country. nevertheless these gains are balanced out by losses all swear in the country. nevertheless these gains were balanced out by losses elsewhere in the country.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nevertheless these gains were balanced out by losses elsewhere in the country', 'nevertheless these gains are balanced out by losses elsewhere in the country', 'nevertheless these gains were balanced out by losses all swear in the country', 'nevertheless these gains are balanced out by losses all swear in the country', 'nevertheless these gains were balanced out by losses elsewhere in the country']
|
|
[
"the species are an all black plumage beak and mouth with white irises",
"the species have an all black plumage beak and mouth with white irises",
"the species has an all black plumage beak and mouth with white irises",
"the species are an all black plumage beak and mouth with white irises",
"the species have an all black plumage beak and mouth with white irises"
] |
the species has an all black plumage beak and mouth with white irises
|
the species are an all black plumage beak and mouth with white irises.
|
the species have an all black plumage beak and mouth with white irises. the species has an all black plumage beak and mouth with white irises. the species are an all black plumage beak and mouth with white irises. the species have an all black plumage beak and mouth with white irises.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the species are an all black plumage beak and mouth with white irises', 'the species have an all black plumage beak and mouth with white irises', 'the species has an all black plumage beak and mouth with white irises', 'the species are an all black plumage beak and mouth with white irises', 'the species have an all black plumage beak and mouth with white irises']
|
|
[
"specification for parser generators in the yacht family can be broadly considered as attributed grammars",
"specification for pasta generators in the yacht family can be broadly considered as attributed grammars",
"specification for parlor generators in the yacht family can be broadly considered as attributed grammars",
"specification for passing generators in the yacht family can be broadly considered as attributed grammars",
"specification for pasta generators in the yak family can be broadly considered as attributed grammars"
] |
specifications for parser generators in the yacc family can be broadly considered s attributed grammars
|
specification for parser generators in the yacht family can be broadly considered as attributed grammars.
|
specification for pasta generators in the yacht family can be broadly considered as attributed grammars. specification for parlor generators in the yacht family can be broadly considered as attributed grammars. specification for passing generators in the yacht family can be broadly considered as attributed grammars. specification for pasta generators in the yak family can be broadly considered as attributed grammars.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['specification for parser generators in the yacht family can be broadly considered as attributed grammars', 'specification for pasta generators in the yacht family can be broadly considered as attributed grammars', 'specification for parlor generators in the yacht family can be broadly considered as attributed grammars', 'specification for passing generators in the yacht family can be broadly considered as attributed grammars', 'specification for pasta generators in the yak family can be broadly considered as attributed grammars']
|
|
[
"but again mayor is not satisfied as she longs for more than bodily needs",
"but again mayo is not satisfied as she longs for more than bodily needs",
"but again mayor is not satisfied as she longs for more than bodily needs",
"but again mayor is not satisfied as she longs for more than bodily needs",
"but again mayo is not satisfied as she longs for more than bodily needs"
] |
but again maya is not satisfied as she longs for more than bodily needs
|
but again mayor is not satisfied as she longs for more than bodily needs.
|
but again mayo is not satisfied as she longs for more than bodily needs. but again mayor is not satisfied as she longs for more than bodily needs. but again mayor is not satisfied as she longs for more than bodily needs. but again mayo is not satisfied as she longs for more than bodily needs.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but again mayor is not satisfied as she longs for more than bodily needs', 'but again mayo is not satisfied as she longs for more than bodily needs', 'but again mayor is not satisfied as she longs for more than bodily needs', 'but again mayor is not satisfied as she longs for more than bodily needs', 'but again mayo is not satisfied as she longs for more than bodily needs']
|
|
[
"the town has remained an agriculture community since its founding",
"the town has remained an agricultural community since its founding",
"the town has remained and agriculture community since its founding",
"the town has remained an agriculture community since its founding",
"the town has remained an agriculture community since its founding"
] |
the town has remained an agricultural community since its foundings
|
the town has remained an agriculture community since its founding.
|
the town has remained an agricultural community since its founding. the town has remained and agriculture community since its founding. the town has remained an agriculture community since its founding. the town has remained an agriculture community since its founding.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the town has remained an agriculture community since its founding', 'the town has remained an agricultural community since its founding', 'the town has remained and agriculture community since its founding', 'the town has remained an agriculture community since its founding', 'the town has remained an agriculture community since its founding']
|
|
[
"constructive dilemma is the destructive version of moon is opponent",
"constructive dilemma is the destructive version of moon is opponents",
"constructive dilemma is the destructive version of moon is poland",
"constructive dilemma is the destructive version of modus ponens",
"constructive dilemma is the disjunctive version of moon is opponent"
] |
constructive dilemma is the disjunctive version of modus ponens
|
constructive dilemma is the destructive version of moon is opponent.
|
constructive dilemma is the destructive version of moon is opponents. constructive dilemma is the destructive version of moon is poland. constructive dilemma is the destructive version of modus ponens. constructive dilemma is the disjunctive version of moon is opponent.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['constructive dilemma is the destructive version of moon is opponent', 'constructive dilemma is the destructive version of moon is opponents', 'constructive dilemma is the destructive version of moon is poland', 'constructive dilemma is the destructive version of modus ponens', 'constructive dilemma is the disjunctive version of moon is opponent']
|
|
[
"aim for the ace",
"aim for the ease",
"aim for the east",
"game for the ace",
"aim for the east"
] |
aim for the ace
|
aim for the ace.
|
aim for the ease. aim for the east. game for the ace. aim for the east.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['aim for the ace', 'aim for the ease', 'aim for the east', 'game for the ace', 'aim for the east']
|
|
[
"offenders take classes in job seeking skills substance abuse awareness and anger management",
"offenders take classes in job seeking skills substance abuse awareness and anger management",
"offenders take classes in jobseeking skills substance abuse awareness and anger management",
"offenders take classes in job seeking skills substance abuse awareness and anger management",
"offenders take classes in job seeking skills substance abuse awareness and anger management"
] |
offenders take classes in job seeking skills substance abuse awareness and anger management
|
offenders take classes in job seeking skills substance abuse awareness and anger management.
|
offenders take classes in job seeking skills substance abuse awareness and anger management. offenders take classes in jobseeking skills substance abuse awareness and anger management. offenders take classes in job seeking skills substance abuse awareness and anger management. offenders take classes in job seeking skills substance abuse awareness and anger management.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['offenders take classes in job seeking skills substance abuse awareness and anger management', 'offenders take classes in job seeking skills substance abuse awareness and anger management', 'offenders take classes in jobseeking skills substance abuse awareness and anger management', 'offenders take classes in job seeking skills substance abuse awareness and anger management', 'offenders take classes in job seeking skills substance abuse awareness and anger management']
|
|
[
"he attended reynoldsville high school where he played vast football and basketball",
"he attended reynoldsville high school where he played vasty football and basketball",
"he attended reynoldsville high school where he played vasty football and basketball",
"he attended reynoldsville high school where he played varsity football and basketball",
"he attended reynoldsville high school where he played fast in football and basketball"
] |
he attended reynoldsville high school where he played varsity football and basketball
|
he attended reynoldsville high school where he played vast football and basketball.
|
he attended reynoldsville high school where he played vasty football and basketball. he attended reynoldsville high school where he played vasty football and basketball. he attended reynoldsville high school where he played varsity football and basketball. he attended reynoldsville high school where he played fast in football and basketball.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he attended reynoldsville high school where he played vast football and basketball', 'he attended reynoldsville high school where he played vasty football and basketball', 'he attended reynoldsville high school where he played vasty football and basketball', 'he attended reynoldsville high school where he played varsity football and basketball', 'he attended reynoldsville high school where he played fast in football and basketball']
|
|
[
"the home choices feature the theme design only with the colors imitated",
"the home choices feature the theme design only with the colors emitted",
"the home chassis features the theme design only with the colors imitated",
"the home chassis features the theme design only with the colors emitted",
"the home choices feature the theme design only with the colors inverted"
] |
the home jerseys featured the same design only with the colors inverted
|
the home choices feature the theme design only with the colors imitated.
|
the home choices feature the theme design only with the colors emitted. the home chassis features the theme design only with the colors imitated. the home chassis features the theme design only with the colors emitted. the home choices feature the theme design only with the colors inverted.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the home choices feature the theme design only with the colors imitated', 'the home choices feature the theme design only with the colors emitted', 'the home chassis features the theme design only with the colors imitated', 'the home chassis features the theme design only with the colors emitted', 'the home choices feature the theme design only with the colors inverted']
|
|
[
"maplewood is ten minutes from downtown saint paul",
"maplewood is ten minutes from downtown saint paul",
"maplewood is ten minutes from downtown saint paul",
"maplewood is ten minutes from downtown saint paul",
"mapleswood is ten minutes from downtown saint paul"
] |
maplewood is ten minutes from downtown saint paul
|
maplewood is ten minutes from downtown saint paul.
|
maplewood is ten minutes from downtown saint paul. maplewood is ten minutes from downtown saint paul. maplewood is ten minutes from downtown saint paul. mapleswood is ten minutes from downtown saint paul.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['maplewood is ten minutes from downtown saint paul', 'maplewood is ten minutes from downtown saint paul', 'maplewood is ten minutes from downtown saint paul', 'maplewood is ten minutes from downtown saint paul', 'mapleswood is ten minutes from downtown saint paul']
|
|
[
"south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard",
"south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard",
"south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker",
"south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker",
"south link operate depots in erdicate seaford uraka elizabeth lonstail and mount marker"
] |
southlink operate depots in aldgate seaford pooraka elizabeth lonsdale and mount barker
|
south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard.
|
south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard. south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker. south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker. south link operate depots in erdicate seaford uraka elizabeth lonstail and mount marker.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard', 'south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marquard', 'south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker', 'south link operate depots in erdicate seaford uraka elizabeth lawnstale and mount marker', 'south link operate depots in erdicate seaford uraka elizabeth lonstail and mount marker']
|
|
[
"snapshots features recordings by the nash ramblers and the flying burrito brothers among others",
"snapshots features recordings by the nash ramblers and the flying burrito brothers among others",
"snapshots features recordings by the nash ramblers and the flying burrito brothers among others",
"snapshots features recordings by the nash ramblers and the flying burrito brothers among others",
"snapshots features recordings by the nash ramblers and the flying barrito brothers among others"
] |
snapshots features recordings by the nash ramblers and the flying burrito brothers among others
|
snapshots features recordings by the nash ramblers and the flying burrito brothers among others.
|
snapshots features recordings by the nash ramblers and the flying burrito brothers among others. snapshots features recordings by the nash ramblers and the flying burrito brothers among others. snapshots features recordings by the nash ramblers and the flying burrito brothers among others. snapshots features recordings by the nash ramblers and the flying barrito brothers among others.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['snapshots features recordings by the nash ramblers and the flying burrito brothers among others', 'snapshots features recordings by the nash ramblers and the flying burrito brothers among others', 'snapshots features recordings by the nash ramblers and the flying burrito brothers among others', 'snapshots features recordings by the nash ramblers and the flying burrito brothers among others', 'snapshots features recordings by the nash ramblers and the flying barrito brothers among others']
|
|
[
"this bike was that sold to lance armstrong",
"this bike was that sold to blanc armstrong",
"this bike was that sold to blant armstrong",
"this bike was that sold to blans armstrong",
"this bike was that sold to blant armstrong"
] |
this bike was then sold to lance armstrong
|
this bike was that sold to lance armstrong.
|
this bike was that sold to blanc armstrong. this bike was that sold to blant armstrong. this bike was that sold to blans armstrong. this bike was that sold to blant armstrong.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this bike was that sold to lance armstrong', 'this bike was that sold to blanc armstrong', 'this bike was that sold to blant armstrong', 'this bike was that sold to blans armstrong', 'this bike was that sold to blant armstrong']
|
|
[
"that is what i am here for",
"that is what i am here for",
"that is what i am here for",
"that is what i am here for",
"that is what i am here for"
] |
that is what i am here for
|
that is what i am here for.
|
that is what i am here for. that is what i am here for. that is what i am here for. that is what i am here for.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that is what i am here for', 'that is what i am here for', 'that is what i am here for', 'that is what i am here for', 'that is what i am here for']
|
|
[
"the project was eventually canceled and the station was not built",
"the project was eventually canceled and the station was not built",
"the project was eventually canceled and the station was not built",
"the project was eventually canceled and the station was not built",
"the project was eventually canceled and the station was not built"
] |
the project was eventually canceled and the station was not built
|
the project was eventually canceled and the station was not built.
|
the project was eventually canceled and the station was not built. the project was eventually canceled and the station was not built. the project was eventually canceled and the station was not built. the project was eventually canceled and the station was not built.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the project was eventually canceled and the station was not built', 'the project was eventually canceled and the station was not built', 'the project was eventually canceled and the station was not built', 'the project was eventually canceled and the station was not built', 'the project was eventually canceled and the station was not built']
|
|
[
"his father belonged to a wealthy family",
"his father belonged to a wealthy family",
"his father belonged to a wealthy family",
"his father belonged to a wealthy family",
"his father belonged to a wealthy family"
] |
his father belonged to a wealthy family
|
his father belonged to a wealthy family.
|
his father belonged to a wealthy family. his father belonged to a wealthy family. his father belonged to a wealthy family. his father belonged to a wealthy family.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his father belonged to a wealthy family', 'his father belonged to a wealthy family', 'his father belonged to a wealthy family', 'his father belonged to a wealthy family', 'his father belonged to a wealthy family']
|
|
[
"irwin is bonnie center for neurobiology of learning and memory",
"erwin is bonnie center for neurobiology of learning and memory",
"irvim is bonnie center for neurobiology of learning and memory",
"irving is bonnie center for neurobiology of learning and memory",
"irvin is bonnie center for neurobiology of learning and memory"
] |
irvine is bonney center for neurobiology of learning and memory
|
irwin is bonnie center for neurobiology of learning and memory.
|
erwin is bonnie center for neurobiology of learning and memory. irvim is bonnie center for neurobiology of learning and memory. irving is bonnie center for neurobiology of learning and memory. irvin is bonnie center for neurobiology of learning and memory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['irwin is bonnie center for neurobiology of learning and memory', 'erwin is bonnie center for neurobiology of learning and memory', 'irvim is bonnie center for neurobiology of learning and memory', 'irving is bonnie center for neurobiology of learning and memory', 'irvin is bonnie center for neurobiology of learning and memory']
|
|
[
"after their rescue ten of the miners were studied for ten years",
"after their rescue ten of the miners were studied for ten years",
"after their rescue ten of the miners were studied for ten years",
"after their rescue ten of the miners were studied for ten years",
"after their rescue ten of the miners were studied for ten years"
] |
after their rescue ten of the miners were studied for ten years
|
after their rescue ten of the miners were studied for ten years.
|
after their rescue ten of the miners were studied for ten years. after their rescue ten of the miners were studied for ten years. after their rescue ten of the miners were studied for ten years. after their rescue ten of the miners were studied for ten years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after their rescue ten of the miners were studied for ten years', 'after their rescue ten of the miners were studied for ten years', 'after their rescue ten of the miners were studied for ten years', 'after their rescue ten of the miners were studied for ten years', 'after their rescue ten of the miners were studied for ten years']
|
|
[
"warbems were also seen in other films like pearls safe and wargames",
"warbems were also seen in other films like pearlsafe and wargames",
"warbems were also seen in other films like pearl safe and wargames",
"wolves were also seen in other films like pearls safe and wargames",
"warbons were also seen in other films like pearls safe and wargames"
] |
war rooms were also seen in other films like fail safe and wargames
|
warbems were also seen in other films like pearls safe and wargames.
|
warbems were also seen in other films like pearlsafe and wargames. warbems were also seen in other films like pearl safe and wargames. wolves were also seen in other films like pearls safe and wargames. warbons were also seen in other films like pearls safe and wargames.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['warbems were also seen in other films like pearls safe and wargames', 'warbems were also seen in other films like pearlsafe and wargames', 'warbems were also seen in other films like pearl safe and wargames', 'wolves were also seen in other films like pearls safe and wargames', 'warbons were also seen in other films like pearls safe and wargames']
|
|
[
"the river drains approximately of a boreal forest and musket",
"the river drains approximately of a boreal forest and must get",
"the river drains approximately of a body forest and musket",
"the river drains approximately of a boreal forest and must care",
"the river drains approximately of a boreal forest and must get"
] |
the river drains approximately of boreal forest and muskeg
|
the river drains approximately of a boreal forest and musket.
|
the river drains approximately of a boreal forest and must get. the river drains approximately of a body forest and musket. the river drains approximately of a boreal forest and must care. the river drains approximately of a boreal forest and must get.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the river drains approximately of a boreal forest and musket', 'the river drains approximately of a boreal forest and must get', 'the river drains approximately of a body forest and musket', 'the river drains approximately of a boreal forest and must care', 'the river drains approximately of a boreal forest and must get']
|
|
[
"two videos were shot for this song",
"two videos were shot for this song",
"two videos were shot for this song",
"two videos were shopped for this song",
"two videos we are shot for this song"
] |
two videos were shot for this song
|
two videos were shot for this song.
|
two videos were shot for this song. two videos were shot for this song. two videos were shopped for this song. two videos we are shot for this song.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two videos were shot for this song', 'two videos were shot for this song', 'two videos were shot for this song', 'two videos were shopped for this song', 'two videos we are shot for this song']
|
|
[
"i do not like it at all",
"i do not like it at all",
"i do not like it at all",
"i do not like it at all",
"i do not like it at all"
] |
i do not like it at all
|
i do not like it at all.
|
i do not like it at all. i do not like it at all. i do not like it at all. i do not like it at all.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i do not like it at all', 'i do not like it at all', 'i do not like it at all', 'i do not like it at all', 'i do not like it at all']
|
|
[
"send our resides in columbia maryland with this family in his mother",
"send our resides in columbia maryland with his family in his mother",
"senna resides in columbia maryland with his family in his mother",
"send our resides in columbia maryland with this family in his mother",
"senna resides in columbia maryland with his family in his mother"
] |
chenier resides in columbia maryland with his family and his mother
|
send our resides in columbia maryland with this family in his mother.
|
send our resides in columbia maryland with his family in his mother. senna resides in columbia maryland with his family in his mother. send our resides in columbia maryland with this family in his mother. senna resides in columbia maryland with his family in his mother.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['send our resides in columbia maryland with this family in his mother', 'send our resides in columbia maryland with his family in his mother', 'senna resides in columbia maryland with his family in his mother', 'send our resides in columbia maryland with this family in his mother', 'senna resides in columbia maryland with his family in his mother']
|
|
[
"ashley castle is in the village",
"ash lake castle is in the village",
"ashley castle is in the village",
"ashley castle is not the village",
"ashleigh castle is in the village"
] |
ashley castle is in the village
|
ashley castle is in the village.
|
ash lake castle is in the village. ashley castle is in the village. ashley castle is not the village. ashleigh castle is in the village.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ashley castle is in the village', 'ash lake castle is in the village', 'ashley castle is in the village', 'ashley castle is not the village', 'ashleigh castle is in the village']
|
|
[
"the remaining seven holistic has near threatened",
"the remaining seven nalistic has near threatened",
"the remaining seven are listed as near threatened",
"the remaining sevennalistic has near threatened",
"the remaining seven knowledge that has near threatened"
] |
the remaining seven are listed as near threatened
|
the remaining seven holistic has near threatened.
|
the remaining seven nalistic has near threatened. the remaining seven are listed as near threatened. the remaining sevennalistic has near threatened. the remaining seven knowledge that has near threatened.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the remaining seven holistic has near threatened', 'the remaining seven nalistic has near threatened', 'the remaining seven are listed as near threatened', 'the remaining sevennalistic has near threatened', 'the remaining seven knowledge that has near threatened']
|
|
[
"the safe treasured was one of the escapees",
"the self preserved was one of the escapees",
"the safe treasured was one of the fkps",
"the self preserved was one of the skps",
"the safe reserved was one of the escapees"
] |
joseph broussard was one of the escapees
|
the safe treasured was one of the escapees.
|
the self preserved was one of the escapees. the safe treasured was one of the fkps. the self preserved was one of the skps. the safe reserved was one of the escapees.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the safe treasured was one of the escapees', 'the self preserved was one of the escapees', 'the safe treasured was one of the fkps', 'the self preserved was one of the skps', 'the safe reserved was one of the escapees']
|
|
[
"soon after australia replaced it with the fox forty channel",
"soon after austria replaced it with the fox forty channel",
"soon after our store replaced it with the fox forty channel",
"soon after oster replaced it with the fox forty channel",
"soon after auster replaced it with the fox forty channel"
] |
soon after austar replaced it with the fox footy channel
|
soon after australia replaced it with the fox forty channel.
|
soon after austria replaced it with the fox forty channel. soon after our store replaced it with the fox forty channel. soon after oster replaced it with the fox forty channel. soon after auster replaced it with the fox forty channel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['soon after australia replaced it with the fox forty channel', 'soon after austria replaced it with the fox forty channel', 'soon after our store replaced it with the fox forty channel', 'soon after oster replaced it with the fox forty channel', 'soon after auster replaced it with the fox forty channel']
|
|
[
"in other words lord sankashana is lord nayana himself",
"in other words lord sankashana is lord nayana himself",
"in other words lord sankoshana is lord nayana himself",
"in other words lord sankoshana is lord nayana himself",
"in other words lord sankashana is lord nayana himself"
] |
in other words lord sankarshana is lord narayana himself
|
in other words lord sankashana is lord nayana himself.
|
in other words lord sankashana is lord nayana himself. in other words lord sankoshana is lord nayana himself. in other words lord sankoshana is lord nayana himself. in other words lord sankashana is lord nayana himself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in other words lord sankashana is lord nayana himself', 'in other words lord sankashana is lord nayana himself', 'in other words lord sankoshana is lord nayana himself', 'in other words lord sankoshana is lord nayana himself', 'in other words lord sankashana is lord nayana himself']
|
|
[
"they are organized by scientific teams",
"they are organized by scientific teams",
"they are organized by scientific teams",
"they are organized by scientific themes",
"they are organized by scientific teams"
] |
they are organized by scientific themes
|
they are organized by scientific teams.
|
they are organized by scientific teams. they are organized by scientific teams. they are organized by scientific themes. they are organized by scientific teams.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they are organized by scientific teams', 'they are organized by scientific teams', 'they are organized by scientific teams', 'they are organized by scientific themes', 'they are organized by scientific teams']
|
|
[
"nishima had not been in good health for several years",
"nishjima had not been in good health for several years",
"nishijima had not been in good health for several years",
"nishima had not been in good health for seven years",
"nishima had not been in good health for several years"
] |
nishijima had not been in good health for several years
|
nishima had not been in good health for several years.
|
nishjima had not been in good health for several years. nishijima had not been in good health for several years. nishima had not been in good health for seven years. nishima had not been in good health for several years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nishima had not been in good health for several years', 'nishjima had not been in good health for several years', 'nishijima had not been in good health for several years', 'nishima had not been in good health for seven years', 'nishima had not been in good health for several years']
|
|
[
"soon after he became one of carl puppas or such assistants",
"soon afterwards he became one of carl puppas or such assistants",
"soon afterwards he became one of carl popper is or such assistants",
"soon after he became one of carl popper is or such assistants",
"soon afterwards he became one of carl pappas or such assistants"
] |
soon afterwards he became one of karl popper is research assistants
|
soon after he became one of carl puppas or such assistants.
|
soon afterwards he became one of carl puppas or such assistants. soon afterwards he became one of carl popper is or such assistants. soon after he became one of carl popper is or such assistants. soon afterwards he became one of carl pappas or such assistants.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['soon after he became one of carl puppas or such assistants', 'soon afterwards he became one of carl puppas or such assistants', 'soon afterwards he became one of carl popper is or such assistants', 'soon after he became one of carl popper is or such assistants', 'soon afterwards he became one of carl pappas or such assistants']
|
|
[
"all other activities require prior approval",
"all other activities required prior are approval",
"all other activities required prior are approval",
"all other activities required prior are approval",
"all other activities required prior are approval"
] |
all other activities require prior approval
|
all other activities require prior approval.
|
all other activities required prior are approval. all other activities required prior are approval. all other activities required prior are approval. all other activities required prior are approval.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all other activities require prior approval', 'all other activities required prior are approval', 'all other activities required prior are approval', 'all other activities required prior are approval', 'all other activities required prior are approval']
|
|
[
"the marriage did not last long",
"the marriage did not last long",
"the marriage did not last long",
"the marriage did not last long",
"the marriage did not last long"
] |
the marriage did not last long
|
the marriage did not last long.
|
the marriage did not last long. the marriage did not last long. the marriage did not last long. the marriage did not last long.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the marriage did not last long', 'the marriage did not last long', 'the marriage did not last long', 'the marriage did not last long', 'the marriage did not last long']
|
|
[
"the municipality is located from downtown thun along the r river",
"the municipality is located from downtown thun along the r river",
"the municipality is located from downtown thun along the r river",
"the municipality is located from downtown thun along the r river",
"the municipality is located from downtown thun along the r river"
] |
the municipality is located from downtown thun along the aare river
|
the municipality is located from downtown thun along the r river.
|
the municipality is located from downtown thun along the r river. the municipality is located from downtown thun along the r river. the municipality is located from downtown thun along the r river. the municipality is located from downtown thun along the r river.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the municipality is located from downtown thun along the r river', 'the municipality is located from downtown thun along the r river', 'the municipality is located from downtown thun along the r river', 'the municipality is located from downtown thun along the r river', 'the municipality is located from downtown thun along the r river']
|
|
[
"a little boy eating chocolate ice cream",
"little boy eating chocolate ice cream",
"little boy eating chocolate ice cream",
"a little boy aiding chocolate ice cream",
"little boy aiding chocolate ice cream"
] |
little boy eating chocolate ice cream
|
a little boy eating chocolate ice cream.
|
little boy eating chocolate ice cream. little boy eating chocolate ice cream. a little boy aiding chocolate ice cream. little boy aiding chocolate ice cream.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a little boy eating chocolate ice cream', 'little boy eating chocolate ice cream', 'little boy eating chocolate ice cream', 'a little boy aiding chocolate ice cream', 'little boy aiding chocolate ice cream']
|
|
[
"this became standard combat training for all british special operations personnel",
"this became standard combat training for all british special operations personnel",
"this became standard combat trading for all british special operations personnel",
"this became standard combat training for all of british special operations personnel",
"this became a standard combat training for all british special operations personnel"
] |
this became standard combat training for all british special operations personnel
|
this became standard combat training for all british special operations personnel.
|
this became standard combat training for all british special operations personnel. this became standard combat trading for all british special operations personnel. this became standard combat training for all of british special operations personnel. this became a standard combat training for all british special operations personnel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this became standard combat training for all british special operations personnel', 'this became standard combat training for all british special operations personnel', 'this became standard combat trading for all british special operations personnel', 'this became standard combat training for all of british special operations personnel', 'this became a standard combat training for all british special operations personnel']
|
|
[
"warroad minnesota was the first city known to use the designation hockey town",
"warawad minnesota was the first city known to use the designation hockey town",
"warawad minnesota was the first city known to use the designation hockey town",
"warroad minnesota was the first city known to use the designation hockey town",
"waroad minnesota was the first city known to use the designation hockey town"
] |
warroad minnesota was the first city known to use the designation hockeytown
|
warroad minnesota was the first city known to use the designation hockey town.
|
warawad minnesota was the first city known to use the designation hockey town. warawad minnesota was the first city known to use the designation hockey town. warroad minnesota was the first city known to use the designation hockey town. waroad minnesota was the first city known to use the designation hockey town.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['warroad minnesota was the first city known to use the designation hockey town', 'warawad minnesota was the first city known to use the designation hockey town', 'warawad minnesota was the first city known to use the designation hockey town', 'warroad minnesota was the first city known to use the designation hockey town', 'waroad minnesota was the first city known to use the designation hockey town']
|
|
[
"bengali survivors fled north through by lanes and left the city altogether",
"bengali survivors fled north through biolanes and left the city altogether",
"bengali survivors fled north through by lanes and left the city all together",
"bengali survivors fled north through by lanes and left the city altogether",
"bengali survivors fled north through by lanes and left the city altogether"
] |
bengali survivors fled north through by lanes and left the city altogether
|
bengali survivors fled north through by lanes and left the city altogether.
|
bengali survivors fled north through biolanes and left the city altogether. bengali survivors fled north through by lanes and left the city all together. bengali survivors fled north through by lanes and left the city altogether. bengali survivors fled north through by lanes and left the city altogether.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bengali survivors fled north through by lanes and left the city altogether', 'bengali survivors fled north through biolanes and left the city altogether', 'bengali survivors fled north through by lanes and left the city all together', 'bengali survivors fled north through by lanes and left the city altogether', 'bengali survivors fled north through by lanes and left the city altogether']
|
|
[
"two little boys playing soccer on a field",
"two little boys playing soccer on a field",
"two little boys playing sopper on a field",
"two little boys playing soccer on a field",
"two little boys playing soccer on a field"
] |
two little boys playing soccer on a field
|
two little boys playing soccer on a field.
|
two little boys playing soccer on a field. two little boys playing sopper on a field. two little boys playing soccer on a field. two little boys playing soccer on a field.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two little boys playing soccer on a field', 'two little boys playing soccer on a field', 'two little boys playing sopper on a field', 'two little boys playing soccer on a field', 'two little boys playing soccer on a field']
|
|
[
"it is often used in reference to soviet type economic system of former community states",
"it is often used in reference to soviet type economic system of former communist states",
"it is often used in reference to soviet tab economic system of former community states",
"it is often used in reference to so called economic system of former community states",
"it is often used in reference to soviet tab economic system of former communist states"
] |
it is often used in reference to soviet type economic systems of former communist states
|
it is often used in reference to soviet type economic system of former community states.
|
it is often used in reference to soviet type economic system of former communist states. it is often used in reference to soviet tab economic system of former community states. it is often used in reference to so called economic system of former community states. it is often used in reference to soviet tab economic system of former communist states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is often used in reference to soviet type economic system of former community states', 'it is often used in reference to soviet type economic system of former communist states', 'it is often used in reference to soviet tab economic system of former community states', 'it is often used in reference to so called economic system of former community states', 'it is often used in reference to soviet tab economic system of former communist states']
|
|
[
"the exact origin of this dish has been debated by scholars",
"the exact origin of this dish has been debated by scholars",
"the exact origin of this dish has been debated by scholars",
"the exact origin of this dish has been debated by scholars",
"the exact origin of this dish has been debated by scholars"
] |
the exact origin of this dish has been debated by scholars
|
the exact origin of this dish has been debated by scholars.
|
the exact origin of this dish has been debated by scholars. the exact origin of this dish has been debated by scholars. the exact origin of this dish has been debated by scholars. the exact origin of this dish has been debated by scholars.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the exact origin of this dish has been debated by scholars', 'the exact origin of this dish has been debated by scholars', 'the exact origin of this dish has been debated by scholars', 'the exact origin of this dish has been debated by scholars', 'the exact origin of this dish has been debated by scholars']
|
|
[
"the river rises in lulana and fosios on the northwestern slope of mount parnassus",
"the river rises in lulana and fosios on the north western slope of mount parnassus",
"the river rises in lillana and fosios on the northwestern slope of mount parnassus",
"the river rises in lulana and fosios on the northwestern slope of mount parnassas",
"the river rises in lulana and fosios on the northwestern slope of mount parnassus"
] |
the river rises at lilaia in phocis on the northwestern slope of mount parnassus
|
the river rises in lulana and fosios on the northwestern slope of mount parnassus.
|
the river rises in lulana and fosios on the north western slope of mount parnassus. the river rises in lillana and fosios on the northwestern slope of mount parnassus. the river rises in lulana and fosios on the northwestern slope of mount parnassas. the river rises in lulana and fosios on the northwestern slope of mount parnassus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the river rises in lulana and fosios on the northwestern slope of mount parnassus', 'the river rises in lulana and fosios on the north western slope of mount parnassus', 'the river rises in lillana and fosios on the northwestern slope of mount parnassus', 'the river rises in lulana and fosios on the northwestern slope of mount parnassas', 'the river rises in lulana and fosios on the northwestern slope of mount parnassus']
|
|
[
"the main campus is located near shishimen in central beijing",
"the main campus is located near shishimen in central beijing",
"the main campus is located near shishimen in central beijing",
"the main campus is located near shishimen in central beijing",
"the main campus is located near shishi men in central beijing"
] |
the main campus is located near xizhimen in central beijing
|
the main campus is located near shishimen in central beijing.
|
the main campus is located near shishimen in central beijing. the main campus is located near shishimen in central beijing. the main campus is located near shishimen in central beijing. the main campus is located near shishi men in central beijing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main campus is located near shishimen in central beijing', 'the main campus is located near shishimen in central beijing', 'the main campus is located near shishimen in central beijing', 'the main campus is located near shishimen in central beijing', 'the main campus is located near shishi men in central beijing']
|
|
[
"kalasam was born in a tamil family in southern karna trata india",
"kalasam was born in a tamil family in southern karnataka india",
"kelisam was born in a tamil family in southern karna trata india",
"kalasam was born in a tamil family in southern karnatrata india",
"kelisam was born in a tamil family in southern karna trata india"
] |
kailasam was born in a tamil family in southern karnataka india
|
kalasam was born in a tamil family in southern karna trata india.
|
kalasam was born in a tamil family in southern karnataka india. kelisam was born in a tamil family in southern karna trata india. kalasam was born in a tamil family in southern karnatrata india. kelisam was born in a tamil family in southern karna trata india.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kalasam was born in a tamil family in southern karna trata india', 'kalasam was born in a tamil family in southern karnataka india', 'kelisam was born in a tamil family in southern karna trata india', 'kalasam was born in a tamil family in southern karnatrata india', 'kelisam was born in a tamil family in southern karna trata india']
|
|
[
"the ghutaviri and mahanati rivers flow into the bay of bengal",
"the gwotaviri and mahanati rivers flow into the bay of bengal",
"the guttaviri and mahanati rivers flow into the bay of bengal",
"the ghodaviri and mahanati rivers flow into the bay of bengal",
"the guthaviri and mahanati rivers flow into the bay of bengal"
] |
the godavari and mahanadi rivers flow into the bay of bengal
|
the ghutaviri and mahanati rivers flow into the bay of bengal.
|
the gwotaviri and mahanati rivers flow into the bay of bengal. the guttaviri and mahanati rivers flow into the bay of bengal. the ghodaviri and mahanati rivers flow into the bay of bengal. the guthaviri and mahanati rivers flow into the bay of bengal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the ghutaviri and mahanati rivers flow into the bay of bengal', 'the gwotaviri and mahanati rivers flow into the bay of bengal', 'the guttaviri and mahanati rivers flow into the bay of bengal', 'the ghodaviri and mahanati rivers flow into the bay of bengal', 'the guthaviri and mahanati rivers flow into the bay of bengal']
|
|
[
"this easily turned into sunny giving rise to his official name",
"this easily turned into sunny giving rise to his official name",
"this easily turned into sunny giving rise to his official name",
"this easily turned into sunny giving rise to his official name",
"this easily turned into sunny giving rise to his official name"
] |
this easily turned into sonny giving rise to his official name
|
this easily turned into sunny giving rise to his official name.
|
this easily turned into sunny giving rise to his official name. this easily turned into sunny giving rise to his official name. this easily turned into sunny giving rise to his official name. this easily turned into sunny giving rise to his official name.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this easily turned into sunny giving rise to his official name', 'this easily turned into sunny giving rise to his official name', 'this easily turned into sunny giving rise to his official name', 'this easily turned into sunny giving rise to his official name', 'this easily turned into sunny giving rise to his official name']
|
|
[
"the assets were sold to key investor key easthand capital",
"the assets were sold to key investors to eastern capital",
"the assets were sold to key investors to easthand capital",
"the assets were sold to key investors to east kent capital",
"the assets were sold to key investors eastern capital"
] |
the assets were sold to key investor east kent capitol
|
the assets were sold to key investor key easthand capital.
|
the assets were sold to key investors to eastern capital. the assets were sold to key investors to easthand capital. the assets were sold to key investors to east kent capital. the assets were sold to key investors eastern capital.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the assets were sold to key investor key easthand capital', 'the assets were sold to key investors to eastern capital', 'the assets were sold to key investors to easthand capital', 'the assets were sold to key investors to east kent capital', 'the assets were sold to key investors eastern capital']
|
|
[
"four years later his brother j l brukhart joined his firm",
"four years later his brother j l brukhart joined his firm",
"four years later his brother j l brukhart joined his firm",
"four years later his brother j l brookhot joined his firm",
"four years later his brother j l bluecott joined his firm"
] |
four years later his brother j l brookhart joined his firm
|
four years later his brother j l brukhart joined his firm.
|
four years later his brother j l brukhart joined his firm. four years later his brother j l brukhart joined his firm. four years later his brother j l brookhot joined his firm. four years later his brother j l bluecott joined his firm.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['four years later his brother j l brukhart joined his firm', 'four years later his brother j l brukhart joined his firm', 'four years later his brother j l brukhart joined his firm', 'four years later his brother j l brookhot joined his firm', 'four years later his brother j l bluecott joined his firm']
|
|
[
"serious altercations arose when ziad is governorship of basra was extended to include kufa",
"serious altercations arose when ziad is governorship of basra was extended to include kufar",
"serious altercations arose when ziad is governorship of basra was extended to include khufa",
"serious altercations arose when ziaz is governorship of basra was extended to include kufa",
"serious altercations arose when ziaj is governorship of basra was extended to include kufa"
] |
serious altercations arose when ziyad is governorship of basra was extended to include kufa
|
serious altercations arose when ziad is governorship of basra was extended to include kufa.
|
serious altercations arose when ziad is governorship of basra was extended to include kufar. serious altercations arose when ziad is governorship of basra was extended to include khufa. serious altercations arose when ziaz is governorship of basra was extended to include kufa. serious altercations arose when ziaj is governorship of basra was extended to include kufa.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['serious altercations arose when ziad is governorship of basra was extended to include kufa', 'serious altercations arose when ziad is governorship of basra was extended to include kufar', 'serious altercations arose when ziad is governorship of basra was extended to include khufa', 'serious altercations arose when ziaz is governorship of basra was extended to include kufa', 'serious altercations arose when ziaj is governorship of basra was extended to include kufa']
|
|
[
"up and farmed in the chevio area",
"up and farmed in the chevrolet area",
"up and farmed in the chevio area",
"up and farmed in the chevjo area",
"up and farmed in the chevrolet area"
] |
upham farmed in the cheviot area
|
up and farmed in the chevio area.
|
up and farmed in the chevrolet area. up and farmed in the chevio area. up and farmed in the chevjo area. up and farmed in the chevrolet area.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['up and farmed in the chevio area', 'up and farmed in the chevrolet area', 'up and farmed in the chevio area', 'up and farmed in the chevjo area', 'up and farmed in the chevrolet area']
|
|
[
"the championship final was the best of three",
"the championship final was a best of three",
"the championship final was the best of three",
"the championship final was a best three",
"the championship final is the best of three"
] |
the championship final was a best of three
|
the championship final was the best of three.
|
the championship final was a best of three. the championship final was the best of three. the championship final was a best three. the championship final is the best of three.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the championship final was the best of three', 'the championship final was a best of three', 'the championship final was the best of three', 'the championship final was a best three', 'the championship final is the best of three']
|
|
[
"sakagawa is internment occurred here",
"sekagawa is internment occurred here",
"sakagawae is internment occurred here",
"sakagawa is internment occurred here",
"sakagawiya is internment occurred here"
] |
sacagawea is interment occurred here
|
sakagawa is internment occurred here.
|
sekagawa is internment occurred here. sakagawae is internment occurred here. sakagawa is internment occurred here. sakagawiya is internment occurred here.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sakagawa is internment occurred here', 'sekagawa is internment occurred here', 'sakagawae is internment occurred here', 'sakagawa is internment occurred here', 'sakagawiya is internment occurred here']
|
|
[
"the territories were incorporated into the government of ibok",
"the territories were incorporated into the government of ibokh",
"the territories were incorporated into the government of ibok",
"the territories were incorporated into the government of iboc",
"the territories were incorporated into the government of ibok"
] |
the territories were incorporated into the governorate of vyborg
|
the territories were incorporated into the government of ibok.
|
the territories were incorporated into the government of ibokh. the territories were incorporated into the government of ibok. the territories were incorporated into the government of iboc. the territories were incorporated into the government of ibok.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the territories were incorporated into the government of ibok', 'the territories were incorporated into the government of ibokh', 'the territories were incorporated into the government of ibok', 'the territories were incorporated into the government of iboc', 'the territories were incorporated into the government of ibok']
|
|
[
"chemical reaction is used as a power source in chemical lasers",
"chemical reaction is used as a power source and chemical lasers",
"chemical reaction is used as a power source in chemical lasers",
"chemical reaction is used as a power source and chemical lasers",
"chemical reaction is used as a power source in chemical lases"
] |
chemical reaction is used as a power source in chemical lasers
|
chemical reaction is used as a power source in chemical lasers.
|
chemical reaction is used as a power source and chemical lasers. chemical reaction is used as a power source in chemical lasers. chemical reaction is used as a power source and chemical lasers. chemical reaction is used as a power source in chemical lases.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['chemical reaction is used as a power source in chemical lasers', 'chemical reaction is used as a power source and chemical lasers', 'chemical reaction is used as a power source in chemical lasers', 'chemical reaction is used as a power source and chemical lasers', 'chemical reaction is used as a power source in chemical lases']
|
|
[
"long is fired when he accidentally traps his boss in one of the coffins",
"lung is fired when he accidentally traps his boss in one of the coffins",
"lang is fired when he accidentally traps his boss in one of the coffins",
"lang is fired when he accidentally traps his boss in one of the coffins",
"long is fired when he accidentally traps his boss in one of the coffins"
] |
lung is fired when he accidentally traps his boss in one of the coffins
|
long is fired when he accidentally traps his boss in one of the coffins.
|
lung is fired when he accidentally traps his boss in one of the coffins. lang is fired when he accidentally traps his boss in one of the coffins. lang is fired when he accidentally traps his boss in one of the coffins. long is fired when he accidentally traps his boss in one of the coffins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['long is fired when he accidentally traps his boss in one of the coffins', 'lung is fired when he accidentally traps his boss in one of the coffins', 'lang is fired when he accidentally traps his boss in one of the coffins', 'lang is fired when he accidentally traps his boss in one of the coffins', 'long is fired when he accidentally traps his boss in one of the coffins']
|
|
[
"the british team later admitted that he was ill prior to the beijing race",
"the british team later admitted that he was ill prior to the beijing race",
"the british team later admitted that he was ill prior to the beijing reds",
"the british team later admitted that he was ill prior to the beijing race",
"the british team later admitted that he was ill prior to the beijing race"
] |
the british team later admitted that he was ill prior to the beijing race
|
the british team later admitted that he was ill prior to the beijing race.
|
the british team later admitted that he was ill prior to the beijing race. the british team later admitted that he was ill prior to the beijing reds. the british team later admitted that he was ill prior to the beijing race. the british team later admitted that he was ill prior to the beijing race.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the british team later admitted that he was ill prior to the beijing race', 'the british team later admitted that he was ill prior to the beijing race', 'the british team later admitted that he was ill prior to the beijing reds', 'the british team later admitted that he was ill prior to the beijing race', 'the british team later admitted that he was ill prior to the beijing race']
|
|
[
"this was generally seen as relevant to the subject matter and went relatively uncriticized",
"this was generally seen as relevant to the subject matter and went relatively uncriticised",
"this was generally seen as relevant to the subject matter and went relatively uncriticized",
"this was generally seen as relevant to the subject matter and went relatively uncriticised",
"this was generally seen as relevant to the subject matter and went relatively uncriticized"
] |
this was generally seen as relevant to the subject matter and went relatively uncriticized
|
this was generally seen as relevant to the subject matter and went relatively uncriticized.
|
this was generally seen as relevant to the subject matter and went relatively uncriticised. this was generally seen as relevant to the subject matter and went relatively uncriticized. this was generally seen as relevant to the subject matter and went relatively uncriticised. this was generally seen as relevant to the subject matter and went relatively uncriticized.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was generally seen as relevant to the subject matter and went relatively uncriticized', 'this was generally seen as relevant to the subject matter and went relatively uncriticised', 'this was generally seen as relevant to the subject matter and went relatively uncriticized', 'this was generally seen as relevant to the subject matter and went relatively uncriticised', 'this was generally seen as relevant to the subject matter and went relatively uncriticized']
|
|
[
"the south town line is the border of warren county pennsylvania",
"the south town line is the border of warren county penicillinia",
"the south town line is the border of warren county pennsylvania",
"the south town line is the border of warren county pennsylvania",
"the south town line is the border of warren county pennsylvania"
] |
the south town line is the border of warren county pennsylvania
|
the south town line is the border of warren county pennsylvania.
|
the south town line is the border of warren county penicillinia. the south town line is the border of warren county pennsylvania. the south town line is the border of warren county pennsylvania. the south town line is the border of warren county pennsylvania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the south town line is the border of warren county pennsylvania', 'the south town line is the border of warren county penicillinia', 'the south town line is the border of warren county pennsylvania', 'the south town line is the border of warren county pennsylvania', 'the south town line is the border of warren county pennsylvania']
|
|
[
"napa vin also is home to the napa vin christian academy owned by the baptist church",
"napa vin also is home to the napa vin christian academy owned by the baptist church",
"napa vien also is home to the napa vien christian academy owned by the baptist church",
"napavine also is home to the napavine christian academy owned by the baptist church",
"napaveen also is home to the napaveen christian academy owned by the baptist church"
] |
napavine also is home to the napavine christian academy owned by the baptist church
|
napa vin also is home to the napa vin christian academy owned by the baptist church.
|
napa vin also is home to the napa vin christian academy owned by the baptist church. napa vien also is home to the napa vien christian academy owned by the baptist church. napavine also is home to the napavine christian academy owned by the baptist church. napaveen also is home to the napaveen christian academy owned by the baptist church.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['napa vin also is home to the napa vin christian academy owned by the baptist church', 'napa vin also is home to the napa vin christian academy owned by the baptist church', 'napa vien also is home to the napa vien christian academy owned by the baptist church', 'napavine also is home to the napavine christian academy owned by the baptist church', 'napaveen also is home to the napaveen christian academy owned by the baptist church']
|
|
[
"comparative studies of paedical morphology may suggest that leg like paedicals are primitive",
"comparative studies of paedical morphology may suggest that leg like paedicals are primitive in erectile",
"comparative studies of paedical morphology may suggest that leg like paedicals are primitive interactions",
"comparative studies of pedical morphology may suggest that leg like pedicals are primitive in erectile",
"comparative studies of pedical morphology may suggest that leg like pedicals are primitive in arachnids"
] |
comparative studies of pedipalpal morphology may suggest that leg like pedipalps are primitive in arachnids
|
comparative studies of paedical morphology may suggest that leg like paedicals are primitive.
|
comparative studies of paedical morphology may suggest that leg like paedicals are primitive in erectile. comparative studies of paedical morphology may suggest that leg like paedicals are primitive interactions. comparative studies of pedical morphology may suggest that leg like pedicals are primitive in erectile. comparative studies of pedical morphology may suggest that leg like pedicals are primitive in arachnids.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['comparative studies of paedical morphology may suggest that leg like paedicals are primitive', 'comparative studies of paedical morphology may suggest that leg like paedicals are primitive in erectile', 'comparative studies of paedical morphology may suggest that leg like paedicals are primitive interactions', 'comparative studies of pedical morphology may suggest that leg like pedicals are primitive in erectile', 'comparative studies of pedical morphology may suggest that leg like pedicals are primitive in arachnids']
|
|
[
"while ships staying crippling damages none were lost on this occasion",
"while ships stay in crippling damages none were lost on this occasion",
"while ships are staying crippling damages none were lost on this occasion",
"while ships staying crippling damages none were lost on this occasion",
"while ships staying crippling damages none were lost on this occasion"
] |
while ships sustained crippling damages none were lost on this occasion
|
while ships staying crippling damages none were lost on this occasion.
|
while ships stay in crippling damages none were lost on this occasion. while ships are staying crippling damages none were lost on this occasion. while ships staying crippling damages none were lost on this occasion. while ships staying crippling damages none were lost on this occasion.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['while ships staying crippling damages none were lost on this occasion', 'while ships stay in crippling damages none were lost on this occasion', 'while ships are staying crippling damages none were lost on this occasion', 'while ships staying crippling damages none were lost on this occasion', 'while ships staying crippling damages none were lost on this occasion']
|
|
[
"the need to expand the hospital came three years earlier than initially expected",
"the need to expand the hospital came three years earlier than initially expected",
"the need to expand the hospital came three years earlier than initially expected",
"the need to expand the hospital came three years earlier than initially expected",
"the need to expand the hospital came three years earlier that initially expected"
] |
the need to expand the hospital came three years earlier than initially expected
|
the need to expand the hospital came three years earlier than initially expected.
|
the need to expand the hospital came three years earlier than initially expected. the need to expand the hospital came three years earlier than initially expected. the need to expand the hospital came three years earlier than initially expected. the need to expand the hospital came three years earlier that initially expected.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the need to expand the hospital came three years earlier than initially expected', 'the need to expand the hospital came three years earlier than initially expected', 'the need to expand the hospital came three years earlier than initially expected', 'the need to expand the hospital came three years earlier than initially expected', 'the need to expand the hospital came three years earlier that initially expected']
|
|
[
"the bristle toothbrush spread to europe brought from china to europe by travelers",
"the bristle toothbrush spread to europe brought from china to europe by travelers",
"the bristle toothbrush spread to europe brought from china to europe by travelers",
"the brazil toothbrush spread to europe brought from china to europe by travelers",
"the bristle toothbrush spread to europe brought from china to europe by travelers"
] |
the bristle toothbrush spread to europe brought from china to europe by travelers
|
the bristle toothbrush spread to europe brought from china to europe by travelers.
|
the bristle toothbrush spread to europe brought from china to europe by travelers. the bristle toothbrush spread to europe brought from china to europe by travelers. the brazil toothbrush spread to europe brought from china to europe by travelers. the bristle toothbrush spread to europe brought from china to europe by travelers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bristle toothbrush spread to europe brought from china to europe by travelers', 'the bristle toothbrush spread to europe brought from china to europe by travelers', 'the bristle toothbrush spread to europe brought from china to europe by travelers', 'the brazil toothbrush spread to europe brought from china to europe by travelers', 'the bristle toothbrush spread to europe brought from china to europe by travelers']
|
|
[
"second transportation costs increase through dial prices",
"two transportation course includes true dial prices",
"two transportation course includes real dial prices",
"second transportation costs increased real dial prices",
"two transportation course includes drill dial prices"
] |
second transportation costs increase retail prices
|
second transportation costs increase through dial prices.
|
two transportation course includes true dial prices. two transportation course includes real dial prices. second transportation costs increased real dial prices. two transportation course includes drill dial prices.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['second transportation costs increase through dial prices', 'two transportation course includes true dial prices', 'two transportation course includes real dial prices', 'second transportation costs increased real dial prices', 'two transportation course includes drill dial prices']
|
|
[
"non non nuclear activity",
"non non nuclear activity",
"non none nuclear activity",
"non non nuclear activity",
"non non nuclear activity"
] |
no known nuclear activity
|
non non nuclear activity.
|
non non nuclear activity. non none nuclear activity. non non nuclear activity. non non nuclear activity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['non non nuclear activity', 'non non nuclear activity', 'non none nuclear activity', 'non non nuclear activity', 'non non nuclear activity']
|
|
[
"this made maintenance more complicated",
"this made maintenance is more complicated",
"this made maintenance more complicated",
"this made maintenance is more complicated",
"this made maintenance more complicated"
] |
this made maintenance more complicated
|
this made maintenance more complicated.
|
this made maintenance is more complicated. this made maintenance more complicated. this made maintenance is more complicated. this made maintenance more complicated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this made maintenance more complicated', 'this made maintenance is more complicated', 'this made maintenance more complicated', 'this made maintenance is more complicated', 'this made maintenance more complicated']
|
|
[
"they do not move and they can not be killed",
"they do not move and they can not be killed",
"they do not move and they can not be killed",
"they do not move and they can not be killed",
"they do not move and they can not be killed"
] |
they do not move and they can be killed
|
they do not move and they can not be killed.
|
they do not move and they can not be killed. they do not move and they can not be killed. they do not move and they can not be killed. they do not move and they can not be killed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they do not move and they can not be killed', 'they do not move and they can not be killed', 'they do not move and they can not be killed', 'they do not move and they can not be killed', 'they do not move and they can not be killed']
|
|
[
"the male could host exhibit the sparring behavior by interlocking horns and shoving one another",
"the male could host exhibit this sparring behavior by interlocking horns and shoving one another",
"the male could host exhibit the sparring behavior by interlocking horns and shoving one another",
"the male could host exhibit the sparring behavior by interlocking horns and showing one another",
"the male could host exhibit the sparring behavior by interlocking horns and shoving one under"
] |
the male kudus exhibit this sparring behavior by interlocking horns and shoving one another
|
the male could host exhibit the sparring behavior by interlocking horns and shoving one another.
|
the male could host exhibit this sparring behavior by interlocking horns and shoving one another. the male could host exhibit the sparring behavior by interlocking horns and shoving one another. the male could host exhibit the sparring behavior by interlocking horns and showing one another. the male could host exhibit the sparring behavior by interlocking horns and shoving one under.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the male could host exhibit the sparring behavior by interlocking horns and shoving one another', 'the male could host exhibit this sparring behavior by interlocking horns and shoving one another', 'the male could host exhibit the sparring behavior by interlocking horns and shoving one another', 'the male could host exhibit the sparring behavior by interlocking horns and showing one another', 'the male could host exhibit the sparring behavior by interlocking horns and shoving one under']
|
|
[
"mccarthy cleared waivers and remained with the team",
"macarthur cleared waivers and remained with the team",
"mccarthy cleared waivers and remained with the team",
"mcarthur cleared waivers and remained with the team",
"macarthur cleared waivers and remained with the team"
] |
mccarty cleared waivers and remained with the team
|
mccarthy cleared waivers and remained with the team.
|
macarthur cleared waivers and remained with the team. mccarthy cleared waivers and remained with the team. mcarthur cleared waivers and remained with the team. macarthur cleared waivers and remained with the team.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mccarthy cleared waivers and remained with the team', 'macarthur cleared waivers and remained with the team', 'mccarthy cleared waivers and remained with the team', 'mcarthur cleared waivers and remained with the team', 'macarthur cleared waivers and remained with the team']
|
|
[
"these trusses detracted from the former streamline to looking expand",
"these trusses detracted from the former streamline to look and expand",
"these trusses detracted from the former streamline to looking to expand",
"these trusses detracted from the former streamline to look and expand",
"these trusses detracted from the former streamline to looking expand"
] |
these trusses detracted from the former streamlined looking span
|
these trusses detracted from the former streamline to looking expand.
|
these trusses detracted from the former streamline to look and expand. these trusses detracted from the former streamline to looking to expand. these trusses detracted from the former streamline to look and expand. these trusses detracted from the former streamline to looking expand.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these trusses detracted from the former streamline to looking expand', 'these trusses detracted from the former streamline to look and expand', 'these trusses detracted from the former streamline to looking to expand', 'these trusses detracted from the former streamline to look and expand', 'these trusses detracted from the former streamline to looking expand']
|
|
[
"i made an astral walking outside",
"i made anastral walking outside",
"i made an asteroid walking outside",
"a made an astral walking outside",
"i made an astronaut walking outside"
] |
a man and a child walking outside
|
i made an astral walking outside.
|
i made anastral walking outside. i made an asteroid walking outside. a made an astral walking outside. i made an astronaut walking outside.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i made an astral walking outside', 'i made anastral walking outside', 'i made an asteroid walking outside', 'a made an astral walking outside', 'i made an astronaut walking outside']
|
|
[
"in the subsequent china civil war he was a staff officer",
"in this subsequent china civil war he was a staff officer",
"in this subsequent china civil war he was a staff officer",
"in this subsequent china civil war he was a staff officer",
"in the subsequent china civil war he was a staff officer"
] |
in the subsequent chinese civil war he was a staff officer
|
in the subsequent china civil war he was a staff officer.
|
in this subsequent china civil war he was a staff officer. in this subsequent china civil war he was a staff officer. in this subsequent china civil war he was a staff officer. in the subsequent china civil war he was a staff officer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the subsequent china civil war he was a staff officer', 'in this subsequent china civil war he was a staff officer', 'in this subsequent china civil war he was a staff officer', 'in this subsequent china civil war he was a staff officer', 'in the subsequent china civil war he was a staff officer']
|
|
[
"the definition also excludes corporation is soul such as certain government ministers and bishops",
"the definition also excludes corporation soul such as certain government ministers and bishops",
"the definition also excludes corporation soul such as certain government ministers and bishops",
"the definition also excludes corporation is soul such as certain government ministers and bishops",
"the definition also excludes corporation is soul such as certain government ministers and bishops"
] |
the definition also excludes corporations sole such as certain government ministers and bishops
|
the definition also excludes corporation is soul such as certain government ministers and bishops.
|
the definition also excludes corporation soul such as certain government ministers and bishops. the definition also excludes corporation soul such as certain government ministers and bishops. the definition also excludes corporation is soul such as certain government ministers and bishops. the definition also excludes corporation is soul such as certain government ministers and bishops.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the definition also excludes corporation is soul such as certain government ministers and bishops', 'the definition also excludes corporation soul such as certain government ministers and bishops', 'the definition also excludes corporation soul such as certain government ministers and bishops', 'the definition also excludes corporation is soul such as certain government ministers and bishops', 'the definition also excludes corporation is soul such as certain government ministers and bishops']
|
|
[
"there is another co op supermarket a few minutes away from the village center",
"there is another co op supermarket a few minutes away from the village center",
"there is another co op supermarket a few minutes away from the village stand up",
"there is another co op supermarket a few minutes away from the village stand up",
"there is another co op supermarket a few minutes away from the village center"
] |
there is another co op supermarket a few minutes away from the village center
|
there is another co op supermarket a few minutes away from the village center.
|
there is another co op supermarket a few minutes away from the village center. there is another co op supermarket a few minutes away from the village stand up. there is another co op supermarket a few minutes away from the village stand up. there is another co op supermarket a few minutes away from the village center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is another co op supermarket a few minutes away from the village center', 'there is another co op supermarket a few minutes away from the village center', 'there is another co op supermarket a few minutes away from the village stand up', 'there is another co op supermarket a few minutes away from the village stand up', 'there is another co op supermarket a few minutes away from the village center']
|
|
[
"he has also played for the philadelphia eagles new york giants and washington redskins",
"he has also played for the philadelphia eagles new york chines and washington redskins",
"he has also played for the philadelphia eagles new york giants and washington redskins",
"he has also played for the philadelphia eagles new york chines and washington redskins",
"he has also played for the philadelphia eagles new york chains and washington redskins"
] |
he has also played for the philadelphia eagles new york giants and washington redskins
|
he has also played for the philadelphia eagles new york giants and washington redskins.
|
he has also played for the philadelphia eagles new york chines and washington redskins. he has also played for the philadelphia eagles new york giants and washington redskins. he has also played for the philadelphia eagles new york chines and washington redskins. he has also played for the philadelphia eagles new york chains and washington redskins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has also played for the philadelphia eagles new york giants and washington redskins', 'he has also played for the philadelphia eagles new york chines and washington redskins', 'he has also played for the philadelphia eagles new york giants and washington redskins', 'he has also played for the philadelphia eagles new york chines and washington redskins', 'he has also played for the philadelphia eagles new york chains and washington redskins']
|
|
[
"both front and rear suspension include anti roll bars",
"both front and rear suspension include anti roll bars",
"both front and rear suspension include anti roll bars",
"both front and rear suspension include anti roll bars",
"both front and rear suspension include anti roll bars"
] |
both front and rear suspension include anti roll bars
|
both front and rear suspension include anti roll bars.
|
both front and rear suspension include anti roll bars. both front and rear suspension include anti roll bars. both front and rear suspension include anti roll bars. both front and rear suspension include anti roll bars.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both front and rear suspension include anti roll bars', 'both front and rear suspension include anti roll bars', 'both front and rear suspension include anti roll bars', 'both front and rear suspension include anti roll bars', 'both front and rear suspension include anti roll bars']
|
|
[
"toura was the oldest child of william tudor and delia davis tudor",
"tora was the oldest child of william tura and delia davis tura",
"tourer was the oldest child of william tudor and delia davis tudor",
"twitter was the oldest child of william tudor and delia davis tudor",
"tora was the oldest child of william tura and delia javis tura"
] |
tudor was the oldest child of william tudor and delia jarvis tudor
|
toura was the oldest child of william tudor and delia davis tudor.
|
tora was the oldest child of william tura and delia davis tura. tourer was the oldest child of william tudor and delia davis tudor. twitter was the oldest child of william tudor and delia davis tudor. tora was the oldest child of william tura and delia javis tura.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['toura was the oldest child of william tudor and delia davis tudor', 'tora was the oldest child of william tura and delia davis tura', 'tourer was the oldest child of william tudor and delia davis tudor', 'twitter was the oldest child of william tudor and delia davis tudor', 'tora was the oldest child of william tura and delia javis tura']
|
|
[
"raymond is known for its annual rodeo and its large more and more population",
"raymond is known for its annual rodeo and its large more more population",
"raymond is known for its annual rodeo and its large more more population",
"raymond is known for its annual rodeo and its large more more population",
"raymond is known for its annual rodeo and its large morn morn population"
] |
raymond is known for its annual rodeo and its large mormon population
|
raymond is known for its annual rodeo and its large more and more population.
|
raymond is known for its annual rodeo and its large more more population. raymond is known for its annual rodeo and its large more more population. raymond is known for its annual rodeo and its large more more population. raymond is known for its annual rodeo and its large morn morn population.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['raymond is known for its annual rodeo and its large more and more population', 'raymond is known for its annual rodeo and its large more more population', 'raymond is known for its annual rodeo and its large more more population', 'raymond is known for its annual rodeo and its large more more population', 'raymond is known for its annual rodeo and its large morn morn population']
|
|
[
"simmons finished third in the competition",
"simmons finished threerd in the competition",
"simmons finished third in the competition",
"simmons finished threerd in the competition",
"simmons finished threerd in the competition"
] |
simmons finished third in the competition
|
simmons finished third in the competition.
|
simmons finished threerd in the competition. simmons finished third in the competition. simmons finished threerd in the competition. simmons finished threerd in the competition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['simmons finished third in the competition', 'simmons finished threerd in the competition', 'simmons finished third in the competition', 'simmons finished threerd in the competition', 'simmons finished threerd in the competition']
|
|
[
"turkey is gold tally first",
"turkey is gold tile first",
"turkey is gold tile first",
"turkey is gold tally first",
"turkey is gold tally first"
] |
turkey is goal tally first
|
turkey is gold tally first.
|
turkey is gold tile first. turkey is gold tile first. turkey is gold tally first. turkey is gold tally first.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['turkey is gold tally first', 'turkey is gold tile first', 'turkey is gold tile first', 'turkey is gold tally first', 'turkey is gold tally first']
|
|
[
"influential new sources such as time also supported the cause of the protesters",
"influential new sources such as time also supported the cause of the protesters",
"influential new sources such as time also supported the cause of the protestors",
"influential new sources such as time also supported the cause of the protesters",
"influential new sources such as time also supported the cause of the protestors"
] |
influential news sources such as time also supported the cause of the protestors
|
influential new sources such as time also supported the cause of the protesters.
|
influential new sources such as time also supported the cause of the protesters. influential new sources such as time also supported the cause of the protestors. influential new sources such as time also supported the cause of the protesters. influential new sources such as time also supported the cause of the protestors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['influential new sources such as time also supported the cause of the protesters', 'influential new sources such as time also supported the cause of the protesters', 'influential new sources such as time also supported the cause of the protestors', 'influential new sources such as time also supported the cause of the protesters', 'influential new sources such as time also supported the cause of the protestors']
|
|
[
"professor bait yutomi sits as one of the patrons of the initiative",
"professor paid yutomi sits as one of the patrons of the initiative",
"professor byte utomi sits as one of the patrons of the initiative",
"professor bait utomi sits as one of the patrons of the initiative",
"professor bhatt yutomi sits as one of the patrons of the initiative"
] |
professor pat utomi sits as one of the patrons of the initiative
|
professor bait yutomi sits as one of the patrons of the initiative.
|
professor paid yutomi sits as one of the patrons of the initiative. professor byte utomi sits as one of the patrons of the initiative. professor bait utomi sits as one of the patrons of the initiative. professor bhatt yutomi sits as one of the patrons of the initiative.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['professor bait yutomi sits as one of the patrons of the initiative', 'professor paid yutomi sits as one of the patrons of the initiative', 'professor byte utomi sits as one of the patrons of the initiative', 'professor bait utomi sits as one of the patrons of the initiative', 'professor bhatt yutomi sits as one of the patrons of the initiative']
|
|
[
"the family moved to clearwater beach florida",
"the family moved to clear water beach for it all",
"the family moved to clearwater beach for it all",
"the family moved to clear what a beach floor it all",
"the family moved to clean water beach floor at all"
] |
the family moved to clearwater beach florida
|
the family moved to clearwater beach florida.
|
the family moved to clear water beach for it all. the family moved to clearwater beach for it all. the family moved to clear what a beach floor it all. the family moved to clean water beach floor at all.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the family moved to clearwater beach florida', 'the family moved to clear water beach for it all', 'the family moved to clearwater beach for it all', 'the family moved to clear what a beach floor it all', 'the family moved to clean water beach floor at all']
|
|
[
"the following year the pirates opened a school for gifted children in buffalo",
"the following year the pirates opened a school for gifted children in bethelor",
"the following year the pirates to open a school for gifted children in buffalo",
"the following year the pirates opened a school for gifted children in bethelor",
"the following year the pirates to open a school for gifted children in bethelor"
] |
the following year the piarists opened a school for gifted children in buffalo
|
the following year the pirates opened a school for gifted children in buffalo.
|
the following year the pirates opened a school for gifted children in bethelor. the following year the pirates to open a school for gifted children in buffalo. the following year the pirates opened a school for gifted children in bethelor. the following year the pirates to open a school for gifted children in bethelor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following year the pirates opened a school for gifted children in buffalo', 'the following year the pirates opened a school for gifted children in bethelor', 'the following year the pirates to open a school for gifted children in buffalo', 'the following year the pirates opened a school for gifted children in bethelor', 'the following year the pirates to open a school for gifted children in bethelor']
|
|
[
"she represents the british columbia liberal party",
"she represents british columbia liberal party",
"she represents the british columbia liberal party",
"she represents the british columbia liberal party",
"she represents british columbia liberal party"
] |
she represents the british columbia liberal party
|
she represents the british columbia liberal party.
|
she represents british columbia liberal party. she represents the british columbia liberal party. she represents the british columbia liberal party. she represents british columbia liberal party.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she represents the british columbia liberal party', 'she represents british columbia liberal party', 'she represents the british columbia liberal party', 'she represents the british columbia liberal party', 'she represents british columbia liberal party']
|
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