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
|
|---|---|---|---|---|---|---|---|---|
[
"it also exists in buddha is hybrid sanskrit version",
"it also exists in buddhist hybrid sanskrit version",
"it also exists in buddhist hybrid sanskrit version",
"it also exists in buddhist hybert sanskrit version",
"it also exists in buddhist hybrid sanskrit version"
] |
it also exists in a buddhist hybrid sanskrit version
|
it also exists in buddha is hybrid sanskrit version.
|
it also exists in buddhist hybrid sanskrit version. it also exists in buddhist hybrid sanskrit version. it also exists in buddhist hybert sanskrit version. it also exists in buddhist hybrid sanskrit version.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also exists in buddha is hybrid sanskrit version', 'it also exists in buddhist hybrid sanskrit version', 'it also exists in buddhist hybrid sanskrit version', 'it also exists in buddhist hybert sanskrit version', 'it also exists in buddhist hybrid sanskrit version']
|
|
[
"the liberal democrats had also identified warrington south as a target seat",
"the liberal democrats had also identified warrington south as a target seat",
"the liberal democrats had also identified warrington south as a target seat",
"the liberal democrats had also identified warrington south as a target seat",
"the liberal democrats had also identified warrington south as a target seat"
] |
the liberal democrats had also identified warrington south as a target seat
|
the liberal democrats had also identified warrington south as a target seat.
|
the liberal democrats had also identified warrington south as a target seat. the liberal democrats had also identified warrington south as a target seat. the liberal democrats had also identified warrington south as a target seat. the liberal democrats had also identified warrington south as a target seat.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the liberal democrats had also identified warrington south as a target seat', 'the liberal democrats had also identified warrington south as a target seat', 'the liberal democrats had also identified warrington south as a target seat', 'the liberal democrats had also identified warrington south as a target seat', 'the liberal democrats had also identified warrington south as a target seat']
|
|
[
"we still help both as family expression",
"we still have both as family expression",
"we still help both as family expressions",
"we still have both as family expressions",
"we still help out both as family expression"
] |
we still have flop bot as a family expression
|
we still help both as family expression.
|
we still have both as family expression. we still help both as family expressions. we still have both as family expressions. we still help out both as family expression.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we still help both as family expression', 'we still have both as family expression', 'we still help both as family expressions', 'we still have both as family expressions', 'we still help out both as family expression']
|
|
[
"the two predices they are found",
"the two predices they have under",
"the two predeices they are found",
"the two threedsix neofund",
"the two predeices they have under"
] |
the two predeceased their father
|
the two predices they are found.
|
the two predices they have under. the two predeices they are found. the two threedsix neofund. the two predeices they have under.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the two predices they are found', 'the two predices they have under', 'the two predeices they are found', 'the two threedsix neofund', 'the two predeices they have under']
|
|
[
"in general it is the capital investment necessary for a business to function",
"in general it is the capital investment necessary for a business to function",
"in general it is the capital investment necessary for a business to function",
"in general it is the capital investment necessary for a business to function",
"in general it is the capital investment necessary for a business to function"
] |
in general it is the capital investment necessary for a business to function
|
in general it is the capital investment necessary for a business to function.
|
in general it is the capital investment necessary for a business to function. in general it is the capital investment necessary for a business to function. in general it is the capital investment necessary for a business to function. in general it is the capital investment necessary for a business to function.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in general it is the capital investment necessary for a business to function', 'in general it is the capital investment necessary for a business to function', 'in general it is the capital investment necessary for a business to function', 'in general it is the capital investment necessary for a business to function', 'in general it is the capital investment necessary for a business to function']
|
|
[
"excavations in one compound produced hl fragments birds skeletons and traces of wooden perches",
"excavations in one compound produced hl fragments birds skeletons and traces of wooden purges",
"excavations in one compound produced hl fragments birds skeletons and traces of wooden perches",
"excavations in one compound produced h l fragments birds skeletons and traces of wooden perch",
"excavations in one compound produced hl fragments birds skeletons and traces of wooden perch"
] |
excavations in one compound produced eggshell fragments bird skeletons and traces of wooden perches
|
excavations in one compound produced hl fragments birds skeletons and traces of wooden perches.
|
excavations in one compound produced hl fragments birds skeletons and traces of wooden purges. excavations in one compound produced hl fragments birds skeletons and traces of wooden perches. excavations in one compound produced h l fragments birds skeletons and traces of wooden perch. excavations in one compound produced hl fragments birds skeletons and traces of wooden perch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['excavations in one compound produced hl fragments birds skeletons and traces of wooden perches', 'excavations in one compound produced hl fragments birds skeletons and traces of wooden purges', 'excavations in one compound produced hl fragments birds skeletons and traces of wooden perches', 'excavations in one compound produced h l fragments birds skeletons and traces of wooden perch', 'excavations in one compound produced hl fragments birds skeletons and traces of wooden perch']
|
|
[
"morning service areas were discontinued from the state",
"morning service areas were discontinued from this date",
"morning service areas were discontinued from the state",
"morning services were discontinued from the state",
"morning is service areas were discontinued from the state"
] |
morning services were discontinued from this date
|
morning service areas were discontinued from the state.
|
morning service areas were discontinued from this date. morning service areas were discontinued from the state. morning services were discontinued from the state. morning is service areas were discontinued from the state.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['morning service areas were discontinued from the state', 'morning service areas were discontinued from this date', 'morning service areas were discontinued from the state', 'morning services were discontinued from the state', 'morning is service areas were discontinued from the state']
|
|
[
"the school is name in memory of doctor jacob f",
"the school is name and memory of doctor jacob f",
"the school is name in the memory of doctor jacob f",
"the school is name in lemory of doctor jacob f",
"the school is name and memory of doctor jacob f"
] |
the school is named in memory of doctor jacob f tourtellotte
|
the school is name in memory of doctor jacob f.
|
the school is name and memory of doctor jacob f. the school is name in the memory of doctor jacob f. the school is name in lemory of doctor jacob f. the school is name and memory of doctor jacob f.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the school is name in memory of doctor jacob f', 'the school is name and memory of doctor jacob f', 'the school is name in the memory of doctor jacob f', 'the school is name in lemory of doctor jacob f', 'the school is name and memory of doctor jacob f']
|
|
[
"consequently he accepted a similar offer from kiwi alexandra",
"consequently he accepted a similar offer from qv alexandra",
"consequently he accepted a similar offer from krivi alexandra",
"consequently he accepted a similar offer from qe alexandra",
"consequently he accepted a similar offer from kiwi alexandra"
] |
consequently he accepted a similar offer from crewe alexandra
|
consequently he accepted a similar offer from kiwi alexandra.
|
consequently he accepted a similar offer from qv alexandra. consequently he accepted a similar offer from krivi alexandra. consequently he accepted a similar offer from qe alexandra. consequently he accepted a similar offer from kiwi alexandra.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['consequently he accepted a similar offer from kiwi alexandra', 'consequently he accepted a similar offer from qv alexandra', 'consequently he accepted a similar offer from krivi alexandra', 'consequently he accepted a similar offer from qe alexandra', 'consequently he accepted a similar offer from kiwi alexandra']
|
|
[
"both are published under the imprint dandy magazine is incorporated as a dandy comment",
"both are published under the imprint dandy magazine is inc has a dandy comment",
"both are published under the imprint dandy magazine is incorporated as a dandy comment",
"both are published under the imprint dandy magazine is incorporated as a dandy comment",
"both are published under the imprint dandy magazine incorporated as a dandy comment"
] |
both were published under the imprint dandy magazines incorporated as a dandy comic
|
both are published under the imprint dandy magazine is incorporated as a dandy comment.
|
both are published under the imprint dandy magazine is inc has a dandy comment. both are published under the imprint dandy magazine is incorporated as a dandy comment. both are published under the imprint dandy magazine is incorporated as a dandy comment. both are published under the imprint dandy magazine incorporated as a dandy comment.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both are published under the imprint dandy magazine is incorporated as a dandy comment', 'both are published under the imprint dandy magazine is inc has a dandy comment', 'both are published under the imprint dandy magazine is incorporated as a dandy comment', 'both are published under the imprint dandy magazine is incorporated as a dandy comment', 'both are published under the imprint dandy magazine incorporated as a dandy comment']
|
|
[
"during the general election nixon reprised this line of attack",
"during the general election nixon reprised this line of attack",
"during the general election nixon reprise this line of attack",
"during the general election nixon reprised this line of attack",
"during the general election nixon reprised this line of attack"
] |
during the general election nixon reprised this line of attack
|
during the general election nixon reprised this line of attack.
|
during the general election nixon reprised this line of attack. during the general election nixon reprise this line of attack. during the general election nixon reprised this line of attack. during the general election nixon reprised this line of attack.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during the general election nixon reprised this line of attack', 'during the general election nixon reprised this line of attack', 'during the general election nixon reprise this line of attack', 'during the general election nixon reprised this line of attack', 'during the general election nixon reprised this line of attack']
|
|
[
"bernie stands at the head of italian comic or the lesk poets",
"bernie stands at the head of italian comic or the lesk poets",
"bernie stands at the head of italian comic or the lesk poets",
"bernie stands at the head of italian comic or the lesk poets",
"bernie stands at the head of italian comic or berlusque poets"
] |
berni stands at the head of italian comic or burlesque poets
|
bernie stands at the head of italian comic or the lesk poets.
|
bernie stands at the head of italian comic or the lesk poets. bernie stands at the head of italian comic or the lesk poets. bernie stands at the head of italian comic or the lesk poets. bernie stands at the head of italian comic or berlusque poets.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bernie stands at the head of italian comic or the lesk poets', 'bernie stands at the head of italian comic or the lesk poets', 'bernie stands at the head of italian comic or the lesk poets', 'bernie stands at the head of italian comic or the lesk poets', 'bernie stands at the head of italian comic or berlusque poets']
|
|
[
"however nine years later it was reformed",
"however nine years later it was reformed",
"however nine years later it was reformed",
"however nine years later it was reformed",
"however nine years later it was reformed"
] |
however nine years later it was reformed
|
however nine years later it was reformed.
|
however nine years later it was reformed. however nine years later it was reformed. however nine years later it was reformed. however nine years later it was reformed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however nine years later it was reformed', 'however nine years later it was reformed', 'however nine years later it was reformed', 'however nine years later it was reformed', 'however nine years later it was reformed']
|
|
[
"the photon capsule has limited thruster capability",
"the photon capsule has limited thruster capability",
"the photon capsule has a limited thruster capability",
"the photon capsule has limited thruster capability",
"the photon capsule has limited thruster capability"
] |
the foton capsule has limited thruster capability
|
the photon capsule has limited thruster capability.
|
the photon capsule has limited thruster capability. the photon capsule has a limited thruster capability. the photon capsule has limited thruster capability. the photon capsule has limited thruster capability.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the photon capsule has limited thruster capability', 'the photon capsule has limited thruster capability', 'the photon capsule has a limited thruster capability', 'the photon capsule has limited thruster capability', 'the photon capsule has limited thruster capability']
|
|
[
"can this most intimate friends be so exasively deceived in him",
"can this most intimate friends be so excessively deceived in him",
"kevin is most intimate friends be so exasively deceived in him",
"can this most intimate friends be so exascibly deceived in him",
"can this most intimate friends be so exasively deceived in him"
] |
can his most intimate friends be so excessively deceived in him
|
can this most intimate friends be so exasively deceived in him.
|
can this most intimate friends be so excessively deceived in him. kevin is most intimate friends be so exasively deceived in him. can this most intimate friends be so exascibly deceived in him. can this most intimate friends be so exasively deceived in him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['can this most intimate friends be so exasively deceived in him', 'can this most intimate friends be so excessively deceived in him', 'kevin is most intimate friends be so exasively deceived in him', 'can this most intimate friends be so exascibly deceived in him', 'can this most intimate friends be so exasively deceived in him']
|
|
[
"they ranged from the utilitarian or inept to professional quality printing and editing",
"they ranged from the utilitarian or inept to professional quality printing and editing",
"they ranged from the utilitarian or inept to professional quality printing and editing",
"they ranged from the utilitarian or inept to professional quality printing and editing",
"they ranged from the utilitarian or inept to professional quality printing and editing"
] |
they ranged from the utilitarian or inept to professional quality printing and editing
|
they ranged from the utilitarian or inept to professional quality printing and editing.
|
they ranged from the utilitarian or inept to professional quality printing and editing. they ranged from the utilitarian or inept to professional quality printing and editing. they ranged from the utilitarian or inept to professional quality printing and editing. they ranged from the utilitarian or inept to professional quality printing and editing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they ranged from the utilitarian or inept to professional quality printing and editing', 'they ranged from the utilitarian or inept to professional quality printing and editing', 'they ranged from the utilitarian or inept to professional quality printing and editing', 'they ranged from the utilitarian or inept to professional quality printing and editing', 'they ranged from the utilitarian or inept to professional quality printing and editing']
|
|
[
"it took a full day before a dry days were able to remove it",
"it took a full day before a dried yeast was able to remove it",
"it took a full day before a drive is able to remove it",
"it took a full day before a thread is able to remove it",
"it took a full day before a dried yeast were able to remove it"
] |
it took a full day before authorities were able to remove it
|
it took a full day before a dry days were able to remove it.
|
it took a full day before a dried yeast was able to remove it. it took a full day before a drive is able to remove it. it took a full day before a thread is able to remove it. it took a full day before a dried yeast were able to remove it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it took a full day before a dry days were able to remove it', 'it took a full day before a dried yeast was able to remove it', 'it took a full day before a drive is able to remove it', 'it took a full day before a thread is able to remove it', 'it took a full day before a dried yeast were able to remove it']
|
|
[
"a subsequent retrospective double album compilation of rare outtakes and live tracks for",
"a subsequent retrospective double album compilation of rare outtakes and live tracks for you",
"a subsequent retrospective double album compilation of rare outtakes and live tracks for it",
"a subsequent retrospective double album compilation of rare outtakes and live tracks hoi hoi",
"a subsequent retrospective double album compilation of rare outtakes and live tracks for the whole world"
] |
a subsequent retrospective double album compilation of rare outtakes and live tracks hoy hoy
|
a subsequent retrospective double album compilation of rare outtakes and live tracks for.
|
a subsequent retrospective double album compilation of rare outtakes and live tracks for you. a subsequent retrospective double album compilation of rare outtakes and live tracks for it. a subsequent retrospective double album compilation of rare outtakes and live tracks hoi hoi. a subsequent retrospective double album compilation of rare outtakes and live tracks for the whole world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a subsequent retrospective double album compilation of rare outtakes and live tracks for', 'a subsequent retrospective double album compilation of rare outtakes and live tracks for you', 'a subsequent retrospective double album compilation of rare outtakes and live tracks for it', 'a subsequent retrospective double album compilation of rare outtakes and live tracks hoi hoi', 'a subsequent retrospective double album compilation of rare outtakes and live tracks for the whole world']
|
|
[
"the transportation in yichun is convenient",
"the transportation in yitun is convenient",
"the transportation in yechun is convenient",
"the transportation in ye choon is convenient",
"the transportation in ye trun is convenient"
] |
the transportation in yichun is convenient
|
the transportation in yichun is convenient.
|
the transportation in yitun is convenient. the transportation in yechun is convenient. the transportation in ye choon is convenient. the transportation in ye trun is convenient.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the transportation in yichun is convenient', 'the transportation in yitun is convenient', 'the transportation in yechun is convenient', 'the transportation in ye choon is convenient', 'the transportation in ye trun is convenient']
|
|
[
"the port is an important contributor to the city is tourism economy",
"the port is an important contributor to the city is tourism economy",
"the port is an important contributor to the city is tourism economy",
"the port is an important contributor to the city is tourism economy",
"the port is an important contributor to the cities tourism economy"
] |
the port is an important contributor to the city is tourism economy
|
the port is an important contributor to the city is tourism economy.
|
the port is an important contributor to the city is tourism economy. the port is an important contributor to the city is tourism economy. the port is an important contributor to the city is tourism economy. the port is an important contributor to the cities tourism economy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the port is an important contributor to the city is tourism economy', 'the port is an important contributor to the city is tourism economy', 'the port is an important contributor to the city is tourism economy', 'the port is an important contributor to the city is tourism economy', 'the port is an important contributor to the cities tourism economy']
|
|
[
"for instance every close disk is compact as every open disk is not compact",
"for instance every close disk is compact as every open disk is not compact",
"for instance every close disk is compact as every open disk is not in compact",
"for instance every close disk is compact as every open disk is not in compact",
"for instance every closed disk is compact as every open disk is not compact"
] |
for instance every closed disk is compact whereas every open disk is not compact
|
for instance every close disk is compact as every open disk is not compact.
|
for instance every close disk is compact as every open disk is not compact. for instance every close disk is compact as every open disk is not in compact. for instance every close disk is compact as every open disk is not in compact. for instance every closed disk is compact as every open disk is not compact.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for instance every close disk is compact as every open disk is not compact', 'for instance every close disk is compact as every open disk is not compact', 'for instance every close disk is compact as every open disk is not in compact', 'for instance every close disk is compact as every open disk is not in compact', 'for instance every closed disk is compact as every open disk is not compact']
|
|
[
"the couple moved into a separate wing of the kaada household",
"the couple moved into a separate wing of the kada household",
"the couple are moving to a separate wing of the kaada household",
"the couple moving to a separate wing of the kaada household",
"the couple moved into a separate wink of the kaada household"
] |
the couple moved into a separate wing of the khadr household
|
the couple moved into a separate wing of the kaada household.
|
the couple moved into a separate wing of the kada household. the couple are moving to a separate wing of the kaada household. the couple moving to a separate wing of the kaada household. the couple moved into a separate wink of the kaada household.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the couple moved into a separate wing of the kaada household', 'the couple moved into a separate wing of the kada household', 'the couple are moving to a separate wing of the kaada household', 'the couple moving to a separate wing of the kaada household', 'the couple moved into a separate wink of the kaada household']
|
|
[
"tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble",
"tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble",
"tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble",
"tarset atlantic flights are sometimes diverted to pangoer when they have mechanical trouble",
"tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble"
] |
transatlantic flights are sometimes diverted to bangor when they have mechanical trouble
|
tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble.
|
tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble. tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble. tarset atlantic flights are sometimes diverted to pangoer when they have mechanical trouble. tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble', 'tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble', 'tarset atlantic flights are sometimes diverted to bangor when they have mechanical trouble', 'tarset atlantic flights are sometimes diverted to pangoer when they have mechanical trouble', 'tarset atlantic flights are sometimes diverted to pangor when they have mechanical trouble']
|
|
[
"as these banknotes were very colorful they soon became a target for collectors",
"as these magnets were very colorful they soon became a target for collectors",
"as these banknotes were very colorful they soon became a target for collectors",
"as these bangmas were very colorful they soon became a target for collectors",
"as these bang knives were very colorful they soon became a target for collectors"
] |
as these banknotes were very colorful they soon became a target for collectors
|
as these banknotes were very colorful they soon became a target for collectors.
|
as these magnets were very colorful they soon became a target for collectors. as these banknotes were very colorful they soon became a target for collectors. as these bangmas were very colorful they soon became a target for collectors. as these bang knives were very colorful they soon became a target for collectors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as these banknotes were very colorful they soon became a target for collectors', 'as these magnets were very colorful they soon became a target for collectors', 'as these banknotes were very colorful they soon became a target for collectors', 'as these bangmas were very colorful they soon became a target for collectors', 'as these bang knives were very colorful they soon became a target for collectors']
|
|
[
"white dustings of smear can sometimes be seen but accumulations are rare",
"white dustings of america can sometimes be seen but accumulations are rare",
"light dustings of smear can sometimes be seen but accumulations are rare",
"light dustings of america can sometimes be seen but accumulations are rare",
"lightest things of america can sometimes be seen but accumulations are rare"
] |
light dustings of snow can sometimes be seen but accumulations are rare
|
white dustings of smear can sometimes be seen but accumulations are rare.
|
white dustings of america can sometimes be seen but accumulations are rare. light dustings of smear can sometimes be seen but accumulations are rare. light dustings of america can sometimes be seen but accumulations are rare. lightest things of america can sometimes be seen but accumulations are rare.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['white dustings of smear can sometimes be seen but accumulations are rare', 'white dustings of america can sometimes be seen but accumulations are rare', 'light dustings of smear can sometimes be seen but accumulations are rare', 'light dustings of america can sometimes be seen but accumulations are rare', 'lightest things of america can sometimes be seen but accumulations are rare']
|
|
[
"sir edmund hornby was appointed the chief judge",
"sir edmund hornbye was appointed the chief judge",
"sir edmund hornbuy was appointed the chief judge",
"sir edmund hornbuy was appointed the chief judge",
"sir edmund hornbuy was appointed the chief judge"
] |
sir edmund hornby was appointed the chief judge
|
sir edmund hornby was appointed the chief judge.
|
sir edmund hornbye was appointed the chief judge. sir edmund hornbuy was appointed the chief judge. sir edmund hornbuy was appointed the chief judge. sir edmund hornbuy was appointed the chief judge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sir edmund hornby was appointed the chief judge', 'sir edmund hornbye was appointed the chief judge', 'sir edmund hornbuy was appointed the chief judge', 'sir edmund hornbuy was appointed the chief judge', 'sir edmund hornbuy was appointed the chief judge']
|
|
[
"he was my sonably an explorer of greenland",
"he was most notably an explorer of greenland",
"he was my silently and explorer of greenland",
"he was my senior bully and explorer of greenland",
"he was my signably an explorer of greenland"
] |
he was most notably an explorer of greenland
|
he was my sonably an explorer of greenland.
|
he was most notably an explorer of greenland. he was my silently and explorer of greenland. he was my senior bully and explorer of greenland. he was my signably an explorer of greenland.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was my sonably an explorer of greenland', 'he was most notably an explorer of greenland', 'he was my silently and explorer of greenland', 'he was my senior bully and explorer of greenland', 'he was my signably an explorer of greenland']
|
|
[
"most others are competing proposals which still need evaluation",
"most others are competing proposals which still need evaluation",
"most others are competing proposals which still need evaluation",
"most others are competing proposals which still need evaluation",
"most others are competing proposals which still need evaluation"
] |
most others are competing proposals which still need evaluation
|
most others are competing proposals which still need evaluation.
|
most others are competing proposals which still need evaluation. most others are competing proposals which still need evaluation. most others are competing proposals which still need evaluation. most others are competing proposals which still need evaluation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most others are competing proposals which still need evaluation', 'most others are competing proposals which still need evaluation', 'most others are competing proposals which still need evaluation', 'most others are competing proposals which still need evaluation', 'most others are competing proposals which still need evaluation']
|
|
[
"this they saw as a central problem historically and sociologically",
"this they saw as a central problem historically and sociologically",
"this they saw as a central problem historically and sociologically",
"this they saw as a central problem historically and sociologically",
"this they saw as a central problem historically and sociologically"
] |
this they saw as a central problem historically and sociologically
|
this they saw as a central problem historically and sociologically.
|
this they saw as a central problem historically and sociologically. this they saw as a central problem historically and sociologically. this they saw as a central problem historically and sociologically. this they saw as a central problem historically and sociologically.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this they saw as a central problem historically and sociologically', 'this they saw as a central problem historically and sociologically', 'this they saw as a central problem historically and sociologically', 'this they saw as a central problem historically and sociologically', 'this they saw as a central problem historically and sociologically']
|
|
[
"the region of convergence must therefore include the unit circle",
"the region of convergence must therefore include the unit circle",
"the region of convergence must therefore include the unit is circle",
"the region of convergence must therefore include the unit is circle",
"the region of convergence must therefore include the unit is circle"
] |
the region of convergence must therefore include the unit circle
|
the region of convergence must therefore include the unit circle.
|
the region of convergence must therefore include the unit circle. the region of convergence must therefore include the unit is circle. the region of convergence must therefore include the unit is circle. the region of convergence must therefore include the unit is circle.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the region of convergence must therefore include the unit circle', 'the region of convergence must therefore include the unit circle', 'the region of convergence must therefore include the unit is circle', 'the region of convergence must therefore include the unit is circle', 'the region of convergence must therefore include the unit is circle']
|
|
[
"open stairways and the absence of fire breaks enhance the chimney effect",
"open starways and the absence of fire breaks enhance the chimney effect",
"open stairways and the absence of fire breaks enhanced the chimney effect",
"open stairways and the absence of fire brakes enhance the chimney effect",
"and the absence of fire breaks enhance the chimney effect"
] |
open stairways and the absence of fire breaks enhanced the chimney effect
|
open stairways and the absence of fire breaks enhance the chimney effect.
|
open starways and the absence of fire breaks enhance the chimney effect. open stairways and the absence of fire breaks enhanced the chimney effect. open stairways and the absence of fire brakes enhance the chimney effect. and the absence of fire breaks enhance the chimney effect.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['open stairways and the absence of fire breaks enhance the chimney effect', 'open starways and the absence of fire breaks enhance the chimney effect', 'open stairways and the absence of fire breaks enhanced the chimney effect', 'open stairways and the absence of fire brakes enhance the chimney effect', 'and the absence of fire breaks enhance the chimney effect']
|
|
[
"in spring it produces bright green foliage with masses of small white flowers",
"in spring it produces bright green foliage with masses of small white flowers",
"in spring it produces bright green foliage with masses of small white flowers",
"in spring it produces bright green foliage with masses of small white flowers",
"in spring it produces bright green foliage with masses of small white flowers"
] |
in spring it produces bright green foliage with masses of small white flowers
|
in spring it produces bright green foliage with masses of small white flowers.
|
in spring it produces bright green foliage with masses of small white flowers. in spring it produces bright green foliage with masses of small white flowers. in spring it produces bright green foliage with masses of small white flowers. in spring it produces bright green foliage with masses of small white flowers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in spring it produces bright green foliage with masses of small white flowers', 'in spring it produces bright green foliage with masses of small white flowers', 'in spring it produces bright green foliage with masses of small white flowers', 'in spring it produces bright green foliage with masses of small white flowers', 'in spring it produces bright green foliage with masses of small white flowers']
|
|
[
"uncles treated as they lived in general",
"uncles treated as they lived in the general",
"uncles treated as a lieutenant general",
"uncle is treated as a lieutenant general",
"ankel is treated as a lieutenant general"
] |
uncles retired as a lieutenant general
|
uncles treated as they lived in general.
|
uncles treated as they lived in the general. uncles treated as a lieutenant general. uncle is treated as a lieutenant general. ankel is treated as a lieutenant general.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['uncles treated as they lived in general', 'uncles treated as they lived in the general', 'uncles treated as a lieutenant general', 'uncle is treated as a lieutenant general', 'ankel is treated as a lieutenant general']
|
|
[
"sometimes he uses it to refer to the course node of mount carmel",
"sometimes he uses it to refer to the cost node of mount carmel",
"sometimes he uses it to refer to the coarse node of mount carmel",
"sometimes he uses it to refer to the cost note of mount carmel",
"sometimes he uses it to refer to the course node of mount carmel"
] |
sometimes he uses it to refer to the coast north of mount carmel
|
sometimes he uses it to refer to the course node of mount carmel.
|
sometimes he uses it to refer to the cost node of mount carmel. sometimes he uses it to refer to the coarse node of mount carmel. sometimes he uses it to refer to the cost note of mount carmel. sometimes he uses it to refer to the course node of mount carmel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sometimes he uses it to refer to the course node of mount carmel', 'sometimes he uses it to refer to the cost node of mount carmel', 'sometimes he uses it to refer to the coarse node of mount carmel', 'sometimes he uses it to refer to the cost note of mount carmel', 'sometimes he uses it to refer to the course node of mount carmel']
|
|
[
"the band broke up soon after and later formed super broke glass",
"the bang broke up soon after and later formed super broke glass",
"the bank broke up soon after and later formed super broke glass",
"the band broke out soon after and later formed super broke glass",
"the band broke up soon after and later formed super broke glass"
] |
the band broke up soon after and laner formed supergroup lusk
|
the band broke up soon after and later formed super broke glass.
|
the bang broke up soon after and later formed super broke glass. the bank broke up soon after and later formed super broke glass. the band broke out soon after and later formed super broke glass. the band broke up soon after and later formed super broke glass.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the band broke up soon after and later formed super broke glass', 'the bang broke up soon after and later formed super broke glass', 'the bank broke up soon after and later formed super broke glass', 'the band broke out soon after and later formed super broke glass', 'the band broke up soon after and later formed super broke glass']
|
|
[
"barbara wrote that prayer to her marriage to greg i had no mountain reading back out",
"barbara wrote that prayer to her marriage to brad i had no mountain reading back out",
"barbara wrote that prayer to her marriage to greg i had no mountaineering back out",
"barbara wrote that prayer to her marriage to brad i had no mountain reading back out",
"barbara wrote that prayer to her marriage to brad i had no mountaineering back out"
] |
barbara wrote that prior to her marriage to brad i had no mountaineering background
|
barbara wrote that prayer to her marriage to greg i had no mountain reading back out.
|
barbara wrote that prayer to her marriage to brad i had no mountain reading back out. barbara wrote that prayer to her marriage to greg i had no mountaineering back out. barbara wrote that prayer to her marriage to brad i had no mountain reading back out. barbara wrote that prayer to her marriage to brad i had no mountaineering back out.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['barbara wrote that prayer to her marriage to greg i had no mountain reading back out', 'barbara wrote that prayer to her marriage to brad i had no mountain reading back out', 'barbara wrote that prayer to her marriage to greg i had no mountaineering back out', 'barbara wrote that prayer to her marriage to brad i had no mountain reading back out', 'barbara wrote that prayer to her marriage to brad i had no mountaineering back out']
|
|
[
"suddenly their route is developed out made which has something to do with my job",
"suddenly their route is developed out made which has something to do with my job",
"suddenly their route is developing which has not something to do with my job",
"suddenly their route is developing which has something to do with my job",
"suddenly their route is developed out made which has not something to do with my job"
] |
suddenly they wrote stuff about me which has not something to do with my job
|
suddenly their route is developed out made which has something to do with my job.
|
suddenly their route is developed out made which has something to do with my job. suddenly their route is developing which has not something to do with my job. suddenly their route is developing which has something to do with my job. suddenly their route is developed out made which has not something to do with my job.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['suddenly their route is developed out made which has something to do with my job', 'suddenly their route is developed out made which has something to do with my job', 'suddenly their route is developing which has not something to do with my job', 'suddenly their route is developing which has something to do with my job', 'suddenly their route is developed out made which has not something to do with my job']
|
|
[
"two dogs fight in the snow",
"two dogs fight in the snow",
"two dogs fight in the snow",
"two dogs fighting the snow",
"two dogs fighting the snow"
] |
two dogs fight in the snow
|
two dogs fight in the snow.
|
two dogs fight in the snow. two dogs fight in the snow. two dogs fighting the snow. two dogs fighting the snow.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two dogs fight in the snow', 'two dogs fight in the snow', 'two dogs fight in the snow', 'two dogs fighting the snow', 'two dogs fighting the snow']
|
|
[
"south union township contains the large two of the three union town area shopping district",
"south union township contains the large two of the three union town area shopping district",
"south union township contains the large two of the three union town area shopping district",
"south union township contains the large two of the three union town area shopping district",
"south union township contains the large two of the three union town area shopping district"
] |
south union township contains the larger two of the three uniontown area shopping districts
|
south union township contains the large two of the three union town area shopping district.
|
south union township contains the large two of the three union town area shopping district. south union township contains the large two of the three union town area shopping district. south union township contains the large two of the three union town area shopping district. south union township contains the large two of the three union town area shopping district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['south union township contains the large two of the three union town area shopping district', 'south union township contains the large two of the three union town area shopping district', 'south union township contains the large two of the three union town area shopping district', 'south union township contains the large two of the three union town area shopping district', 'south union township contains the large two of the three union town area shopping district']
|
|
[
"this is a list of some city conflagrations",
"this is the list of some city conflagrations",
"this is a list of some city conflagrations",
"this is a list of some city conflugrations",
"this is the list of some city conflagrations"
] |
this is a list of some city conflagrations
|
this is a list of some city conflagrations.
|
this is the list of some city conflagrations. this is a list of some city conflagrations. this is a list of some city conflugrations. this is the list of some city conflagrations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is a list of some city conflagrations', 'this is the list of some city conflagrations', 'this is a list of some city conflagrations', 'this is a list of some city conflugrations', 'this is the list of some city conflagrations']
|
|
[
"because of the lack of corroborating evidence the claims of discovery remain entirely speculating",
"because of the lack of corroborating evidence declines of discovery remain entirely speculating",
"because of the lack of corroborating evidence the claims of discovery remain entirely speculative",
"because of the lack of corroborating evidence that claims of discovery remain entirely speculating",
"because of the lack of corroborating evidence declines of discovery remain entirely speculative"
] |
because of the lack of corroborating evidence the claims of discovery remain entirely speculative
|
because of the lack of corroborating evidence the claims of discovery remain entirely speculating.
|
because of the lack of corroborating evidence declines of discovery remain entirely speculating. because of the lack of corroborating evidence the claims of discovery remain entirely speculative. because of the lack of corroborating evidence that claims of discovery remain entirely speculating. because of the lack of corroborating evidence declines of discovery remain entirely speculative.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['because of the lack of corroborating evidence the claims of discovery remain entirely speculating', 'because of the lack of corroborating evidence declines of discovery remain entirely speculating', 'because of the lack of corroborating evidence the claims of discovery remain entirely speculative', 'because of the lack of corroborating evidence that claims of discovery remain entirely speculating', 'because of the lack of corroborating evidence declines of discovery remain entirely speculative']
|
|
[
"o malley comes from a political family",
"omali comes from a political family",
"omali comes from a political family",
"o malley comes from a political family",
"omali comes from a political family"
] |
o malley comes from a political family
|
o malley comes from a political family.
|
omali comes from a political family. omali comes from a political family. o malley comes from a political family. omali comes from a political family.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['o malley comes from a political family', 'omali comes from a political family', 'omali comes from a political family', 'o malley comes from a political family', 'omali comes from a political family']
|
|
[
"much prior history of them was not limited",
"the history of them was not limited",
"the history of them was not limited",
"history of them was not limited",
"history of them was not limited"
] |
much prior history of them was not illuminated
|
much prior history of them was not limited.
|
the history of them was not limited. the history of them was not limited. history of them was not limited. history of them was not limited.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['much prior history of them was not limited', 'the history of them was not limited', 'the history of them was not limited', 'history of them was not limited', 'history of them was not limited']
|
|
[
"warnicky builds itself as the only warnicky in the world",
"warnocky builds itself as the only warnocky in the world",
"warnocky builds itself as the alley warnocky in the world",
"warnikey builds itself as the only warnikey in the world",
"warnakie builds itself as the only warnakie in the world"
] |
waunakee bills itself as the only waunakee in the world
|
warnicky builds itself as the only warnicky in the world.
|
warnocky builds itself as the only warnocky in the world. warnocky builds itself as the alley warnocky in the world. warnikey builds itself as the only warnikey in the world. warnakie builds itself as the only warnakie in the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['warnicky builds itself as the only warnicky in the world', 'warnocky builds itself as the only warnocky in the world', 'warnocky builds itself as the alley warnocky in the world', 'warnikey builds itself as the only warnikey in the world', 'warnakie builds itself as the only warnakie in the world']
|
|
[
"the combination of circumstances lead to his even your defection to the british",
"the combination of circumstance lead to his even your defection to the british",
"the combination of certain styles lead to his even your defection to the british",
"the combination of certain stones lead to his even your defection to the british",
"the combination of circumstances lead to his eventual defection to the british"
] |
a combination of circumstances lead to his eventual defection to the british
|
the combination of circumstances lead to his even your defection to the british.
|
the combination of circumstance lead to his even your defection to the british. the combination of certain styles lead to his even your defection to the british. the combination of certain stones lead to his even your defection to the british. the combination of circumstances lead to his eventual defection to the british.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the combination of circumstances lead to his even your defection to the british', 'the combination of circumstance lead to his even your defection to the british', 'the combination of certain styles lead to his even your defection to the british', 'the combination of certain stones lead to his even your defection to the british', 'the combination of circumstances lead to his eventual defection to the british']
|
|
[
"the langshire and french econome designs contain a fixed blade which does not pivot",
"the lancashire and french econome designs contain a fixed blade which does not pivot",
"the langshire french econome designs contain a fixed blade which does not pivot",
"the lanchire and french econome designs contain a fixed blade which does not pivot",
"the lankshire and french econome designs contain a fixed blade which does not pivot"
] |
the lancashire and french econome designs contain a fixed blade which does not pivot
|
the langshire and french econome designs contain a fixed blade which does not pivot.
|
the lancashire and french econome designs contain a fixed blade which does not pivot. the langshire french econome designs contain a fixed blade which does not pivot. the lanchire and french econome designs contain a fixed blade which does not pivot. the lankshire and french econome designs contain a fixed blade which does not pivot.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the langshire and french econome designs contain a fixed blade which does not pivot', 'the lancashire and french econome designs contain a fixed blade which does not pivot', 'the langshire french econome designs contain a fixed blade which does not pivot', 'the lanchire and french econome designs contain a fixed blade which does not pivot', 'the lankshire and french econome designs contain a fixed blade which does not pivot']
|
|
[
"plants were developed to create a parliamentary assembly",
"plans were developed to create a parliamentary assembly",
"plants were developed to create a parliamentary assembly",
"plants were developed to create a parliamentary assembly",
"plants were developed to create a parliamentary assembly"
] |
plans were developed to create a parliamentary assembly
|
plants were developed to create a parliamentary assembly.
|
plans were developed to create a parliamentary assembly. plants were developed to create a parliamentary assembly. plants were developed to create a parliamentary assembly. plants were developed to create a parliamentary assembly.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['plants were developed to create a parliamentary assembly', 'plans were developed to create a parliamentary assembly', 'plants were developed to create a parliamentary assembly', 'plants were developed to create a parliamentary assembly', 'plants were developed to create a parliamentary assembly']
|
|
[
"the true power in egypt was out of the video shall we",
"the true power in egypt was out of the video show well",
"the true power in egypt what is out of the video shall we",
"the true power in egypt was out of the video showa",
"the true power in egypt was out of the video show where"
] |
the true power in egypt was that of the vizier shawar
|
the true power in egypt was out of the video shall we.
|
the true power in egypt was out of the video show well. the true power in egypt what is out of the video shall we. the true power in egypt was out of the video showa. the true power in egypt was out of the video show where.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the true power in egypt was out of the video shall we', 'the true power in egypt was out of the video show well', 'the true power in egypt what is out of the video shall we', 'the true power in egypt was out of the video showa', 'the true power in egypt was out of the video show where']
|
|
[
"an artificial pitch in his native sarsas was named after christian will",
"an artificial peach in his native sarsas was named after christopher",
"an artificial peach in his native sarsas was named after christian will",
"an artificial pitch in his native sarsas was named after krishnamal",
"an artificial peach in his native sarsas was named after christanamva"
] |
an artificial pitch in his native sarcelles was named after christanval
|
an artificial pitch in his native sarsas was named after christian will.
|
an artificial peach in his native sarsas was named after christopher. an artificial peach in his native sarsas was named after christian will. an artificial pitch in his native sarsas was named after krishnamal. an artificial peach in his native sarsas was named after christanamva.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['an artificial pitch in his native sarsas was named after christian will', 'an artificial peach in his native sarsas was named after christopher', 'an artificial peach in his native sarsas was named after christian will', 'an artificial pitch in his native sarsas was named after krishnamal', 'an artificial peach in his native sarsas was named after christanamva']
|
|
[
"barrett is particularly well known as a writer of historical fiction",
"bharat is particularly well known as a writer of historical fiction",
"barrett is particularly well known as the writer of historical fiction",
"bharat is particularly well known as the writer of historical fiction",
"barrett is particularly well known as a writer of historical fiction"
] |
barrett is particularly well known as a writer of historical fiction
|
barrett is particularly well known as a writer of historical fiction.
|
bharat is particularly well known as a writer of historical fiction. barrett is particularly well known as the writer of historical fiction. bharat is particularly well known as the writer of historical fiction. barrett is particularly well known as a writer of historical fiction.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['barrett is particularly well known as a writer of historical fiction', 'bharat is particularly well known as a writer of historical fiction', 'barrett is particularly well known as the writer of historical fiction', 'bharat is particularly well known as the writer of historical fiction', 'barrett is particularly well known as a writer of historical fiction']
|
|
[
"all their products are manufactured in norway",
"all of their products are manufactured in norway",
"of their products are manufactured in norway",
"all their products are manufactured in norway",
"all their products are manufactured in norway"
] |
all of their products are manufactured in norway
|
all their products are manufactured in norway.
|
all of their products are manufactured in norway. of their products are manufactured in norway. all their products are manufactured in norway. all their products are manufactured in norway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all their products are manufactured in norway', 'all of their products are manufactured in norway', 'of their products are manufactured in norway', 'all their products are manufactured in norway', 'all their products are manufactured in norway']
|
|
[
"as a result of the invasion thousands of greeks have met a fragile fate",
"as a result of the invasion thousands of greeks have meant a fragile fate",
"as a result of the invasion thousands of greeks have met a fragic fate",
"as a result of the invasion thousands of greeks have met a tragic fate",
"as a result of the invasion thousands of greeks have meant a fragicate"
] |
as a result of the invasion thousands of greeks have met a tragic fate
|
as a result of the invasion thousands of greeks have met a fragile fate.
|
as a result of the invasion thousands of greeks have meant a fragile fate. as a result of the invasion thousands of greeks have met a fragic fate. as a result of the invasion thousands of greeks have met a tragic fate. as a result of the invasion thousands of greeks have meant a fragicate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as a result of the invasion thousands of greeks have met a fragile fate', 'as a result of the invasion thousands of greeks have meant a fragile fate', 'as a result of the invasion thousands of greeks have met a fragic fate', 'as a result of the invasion thousands of greeks have met a tragic fate', 'as a result of the invasion thousands of greeks have meant a fragicate']
|
|
[
"he was a guest star in a doctor who audio venture terra firma",
"you will see guest star in the doctor who audio venture terra firma",
"he was a guest star in a doctor who audio venture terra firma",
"you will see guest star in the doctor who audio venture terra firma",
"you will see guest start in the doctor who audio venture terra firma"
] |
he also guest starred in the doctor who audio adventure terror firma
|
he was a guest star in a doctor who audio venture terra firma.
|
you will see guest star in the doctor who audio venture terra firma. he was a guest star in a doctor who audio venture terra firma. you will see guest star in the doctor who audio venture terra firma. you will see guest start in the doctor who audio venture terra firma.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was a guest star in a doctor who audio venture terra firma', 'you will see guest star in the doctor who audio venture terra firma', 'he was a guest star in a doctor who audio venture terra firma', 'you will see guest star in the doctor who audio venture terra firma', 'you will see guest start in the doctor who audio venture terra firma']
|
|
[
"in response he casually replied yes or right",
"in response he casually replied yes or no",
"in response he can surely reply yes or no",
"in response he can surely reply yes or right",
"in response he casually replied yes or right"
] |
in response he casually replied yes all right
|
in response he casually replied yes or right.
|
in response he casually replied yes or no. in response he can surely reply yes or no. in response he can surely reply yes or right. in response he casually replied yes or right.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in response he casually replied yes or right', 'in response he casually replied yes or no', 'in response he can surely reply yes or no', 'in response he can surely reply yes or right', 'in response he casually replied yes or right']
|
|
[
"he became a consultant working on development projects in africa",
"he became a consultant working on the development projects in africa",
"he became a consultant working on development projects in africa",
"he became a consultant working on the development projects in africa",
"he became a consultant working on development projects in africa"
] |
he became a consultant working on development projects in africa
|
he became a consultant working on development projects in africa.
|
he became a consultant working on the development projects in africa. he became a consultant working on development projects in africa. he became a consultant working on the development projects in africa. he became a consultant working on development projects in africa.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he became a consultant working on development projects in africa', 'he became a consultant working on the development projects in africa', 'he became a consultant working on development projects in africa', 'he became a consultant working on the development projects in africa', 'he became a consultant working on development projects in africa']
|
|
[
"he was elected as a member of parliament six times from nukali",
"he was elected as a member of parliament six times from nokali",
"he was elected as a member of parliament six times from nukali",
"he was elected as a member of parliament six times from nokali",
"he was elected as a member of parliament six times from noqali"
] |
he was elected as a member of parliament six times from noakhali
|
he was elected as a member of parliament six times from nukali.
|
he was elected as a member of parliament six times from nokali. he was elected as a member of parliament six times from nukali. he was elected as a member of parliament six times from nokali. he was elected as a member of parliament six times from noqali.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was elected as a member of parliament six times from nukali', 'he was elected as a member of parliament six times from nokali', 'he was elected as a member of parliament six times from nukali', 'he was elected as a member of parliament six times from nokali', 'he was elected as a member of parliament six times from noqali']
|
|
[
"future governor of american samoa george landen berger commanded the vessel",
"future governor of american samoa george landon berger commanded the vessel",
"the future governor of american samoa george landen berger commanded the vessel",
"the future governor of american samoa george landon berger commanded the vessel",
"future governor of american samoa george landon berger commanded the vessel"
] |
future governor of american samoa george landenberger commanded the vessel
|
future governor of american samoa george landen berger commanded the vessel.
|
future governor of american samoa george landon berger commanded the vessel. the future governor of american samoa george landen berger commanded the vessel. the future governor of american samoa george landon berger commanded the vessel. future governor of american samoa george landon berger commanded the vessel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['future governor of american samoa george landen berger commanded the vessel', 'future governor of american samoa george landon berger commanded the vessel', 'the future governor of american samoa george landen berger commanded the vessel', 'the future governor of american samoa george landon berger commanded the vessel', 'future governor of american samoa george landon berger commanded the vessel']
|
|
[
"she later moved to camden in north london",
"she later moved to camden in north london",
"she later moved to campden in north london",
"she later moved to camden in north london",
"she later moved to camden in north london"
] |
she later moved to camden in north london
|
she later moved to camden in north london.
|
she later moved to camden in north london. she later moved to campden in north london. she later moved to camden in north london. she later moved to camden in north london.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she later moved to camden in north london', 'she later moved to camden in north london', 'she later moved to campden in north london', 'she later moved to camden in north london', 'she later moved to camden in north london']
|
|
[
"she starts a book club to try to find friends with similar interest",
"she starts up a book club to try to find friends with similar interest",
"she starts a book club to try to find friends with similar interests",
"she starts up a book club to try to find friends with similar interests",
"she starts a book club to try to find friends with similar interest"
] |
she starts up a book club to try to find friends with similar interests
|
she starts a book club to try to find friends with similar interest.
|
she starts up a book club to try to find friends with similar interest. she starts a book club to try to find friends with similar interests. she starts up a book club to try to find friends with similar interests. she starts a book club to try to find friends with similar interest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she starts a book club to try to find friends with similar interest', 'she starts up a book club to try to find friends with similar interest', 'she starts a book club to try to find friends with similar interests', 'she starts up a book club to try to find friends with similar interests', 'she starts a book club to try to find friends with similar interest']
|
|
[
"the queen and the other members of the royal family attended the waiting ceremony",
"the queen and the other members of the royal family attended the waiting ceremony",
"the queen and the other members of the royal family attended the wedding ceremony",
"the queen and the other members of the royal family attended the waiting ceremony",
"the queen and the other members of the royal family attended the waiting ceremony"
] |
the queen and other members of the royal family attended the wedding ceremony
|
the queen and the other members of the royal family attended the waiting ceremony.
|
the queen and the other members of the royal family attended the waiting ceremony. the queen and the other members of the royal family attended the wedding ceremony. the queen and the other members of the royal family attended the waiting ceremony. the queen and the other members of the royal family attended the waiting ceremony.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the queen and the other members of the royal family attended the waiting ceremony', 'the queen and the other members of the royal family attended the waiting ceremony', 'the queen and the other members of the royal family attended the wedding ceremony', 'the queen and the other members of the royal family attended the waiting ceremony', 'the queen and the other members of the royal family attended the waiting ceremony']
|
|
[
"smart heroic efforts calls the mark on his chest to be removed",
"smart heroic efforts calls the mark on his chest to be removed",
"smart heroic efforts cause the mark on his chest to be removed",
"smart heroic efforts calls the mark on his chest to be removed",
"smart heroic efforts calls the mark on his chest to be removed"
] |
smax is heroic efforts cause the mark on his chest to be removed
|
smart heroic efforts calls the mark on his chest to be removed.
|
smart heroic efforts calls the mark on his chest to be removed. smart heroic efforts cause the mark on his chest to be removed. smart heroic efforts calls the mark on his chest to be removed. smart heroic efforts calls the mark on his chest to be removed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['smart heroic efforts calls the mark on his chest to be removed', 'smart heroic efforts calls the mark on his chest to be removed', 'smart heroic efforts cause the mark on his chest to be removed', 'smart heroic efforts calls the mark on his chest to be removed', 'smart heroic efforts calls the mark on his chest to be removed']
|
|
[
"peas are gathered soldiers from tuscany and appointed captains from its noble families",
"pisa gathered soldiers from tuscany and appointed captains from its noble families",
"peace are gathered soldiers from tuscany and appointed captains from its noble families",
"peas are gathered soldiers from tuscany and appointed captains from its noble families",
"peas are gathered soldiers from tuscany and appointed captains from its noble families"
] |
pisa gathered soldiers from tuscany and appointed captains from its noble families
|
peas are gathered soldiers from tuscany and appointed captains from its noble families.
|
pisa gathered soldiers from tuscany and appointed captains from its noble families. peace are gathered soldiers from tuscany and appointed captains from its noble families. peas are gathered soldiers from tuscany and appointed captains from its noble families. peas are gathered soldiers from tuscany and appointed captains from its noble families.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['peas are gathered soldiers from tuscany and appointed captains from its noble families', 'pisa gathered soldiers from tuscany and appointed captains from its noble families', 'peace are gathered soldiers from tuscany and appointed captains from its noble families', 'peas are gathered soldiers from tuscany and appointed captains from its noble families', 'peas are gathered soldiers from tuscany and appointed captains from its noble families']
|
|
[
"examples of these comedies are plotuses essinaria and rudens",
"examples of these comedies are plautuses essinaria and rudens",
"examples of these comedies are plotuses essinaria and rudens",
"examples of these comedies are plotuses essinaria and rudans",
"examples of these comedies are plautuses essinaria and rudens"
] |
examples of these comedies are plautus asinaria and rudens
|
examples of these comedies are plotuses essinaria and rudens.
|
examples of these comedies are plautuses essinaria and rudens. examples of these comedies are plotuses essinaria and rudens. examples of these comedies are plotuses essinaria and rudans. examples of these comedies are plautuses essinaria and rudens.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['examples of these comedies are plotuses essinaria and rudens', 'examples of these comedies are plautuses essinaria and rudens', 'examples of these comedies are plotuses essinaria and rudens', 'examples of these comedies are plotuses essinaria and rudans', 'examples of these comedies are plautuses essinaria and rudens']
|
|
[
"the symmetrical bandwidth ensures the unbeatable speed for both uploading and downloading",
"insurers unbeatable speed for both uploading and downloading",
"the symmetrical bandwidth ensures an unbeatable speed for both uploading and downloading",
"the symmetrical bandwidth ensures unbeatable speed for both uploading and downloading",
"the symmetrical bandriff ensures that beautiful speed for both uploading and downloading"
] |
their symmetrical bandwidth ensures unbeatable speed for both uploading and downloading
|
the symmetrical bandwidth ensures the unbeatable speed for both uploading and downloading.
|
insurers unbeatable speed for both uploading and downloading. the symmetrical bandwidth ensures an unbeatable speed for both uploading and downloading. the symmetrical bandwidth ensures unbeatable speed for both uploading and downloading. the symmetrical bandriff ensures that beautiful speed for both uploading and downloading.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the symmetrical bandwidth ensures the unbeatable speed for both uploading and downloading', 'insurers unbeatable speed for both uploading and downloading', 'the symmetrical bandwidth ensures an unbeatable speed for both uploading and downloading', 'the symmetrical bandwidth ensures unbeatable speed for both uploading and downloading', 'the symmetrical bandriff ensures that beautiful speed for both uploading and downloading']
|
|
[
"moynihan identifies his background as entirely northern european irish english welsh and german",
"moynihan identifies his background as entirely northern european irish english welsh and german",
"moynihan identifies his background as entirely northern european irish english welsh and german",
"moynihan identifies his background as entirely northern european irish english welsh and german",
"moynihan identifies his background as entali northern european irish english welsh and german"
] |
moynihan identifies his background as entirely northern european irish english welsh and german
|
moynihan identifies his background as entirely northern european irish english welsh and german.
|
moynihan identifies his background as entirely northern european irish english welsh and german. moynihan identifies his background as entirely northern european irish english welsh and german. moynihan identifies his background as entirely northern european irish english welsh and german. moynihan identifies his background as entali northern european irish english welsh and german.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['moynihan identifies his background as entirely northern european irish english welsh and german', 'moynihan identifies his background as entirely northern european irish english welsh and german', 'moynihan identifies his background as entirely northern european irish english welsh and german', 'moynihan identifies his background as entirely northern european irish english welsh and german', 'moynihan identifies his background as entali northern european irish english welsh and german']
|
|
[
"why does she say that",
"why do not you say that",
"why do not she say that",
"why do not you say that",
"why does she say that"
] |
why does she say that
|
why does she say that.
|
why do not you say that. why do not she say that. why do not you say that. why does she say that.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['why does she say that', 'why do not you say that', 'why do not she say that', 'why do not you say that', 'why does she say that']
|
|
[
"he is a monster mason",
"he is a monster mason",
"he is a must of mason",
"he is a monster mason",
"here is a monster mason"
] |
he is a master mason
|
he is a monster mason.
|
he is a monster mason. he is a must of mason. he is a monster mason. here is a monster mason.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is a monster mason', 'he is a monster mason', 'he is a must of mason', 'he is a monster mason', 'here is a monster mason']
|
|
[
"little oblige and reporter that is contained human white blood cells",
"little oblige and reported that is contained human white blood cells",
"little applied and reported that is contained human white blood cells",
"little oblige and reported that is contained human white blood cells",
"little of large and reported that is contained human white blood cells"
] |
litle obliged and reported that it contained human white blood cells
|
little oblige and reporter that is contained human white blood cells.
|
little oblige and reported that is contained human white blood cells. little applied and reported that is contained human white blood cells. little oblige and reported that is contained human white blood cells. little of large and reported that is contained human white blood cells.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['little oblige and reporter that is contained human white blood cells', 'little oblige and reported that is contained human white blood cells', 'little applied and reported that is contained human white blood cells', 'little oblige and reported that is contained human white blood cells', 'little of large and reported that is contained human white blood cells']
|
|
[
"many of the jobs are commonly specialized in included smoke and water damage",
"many of the jobs are currently specialized in included smoke and water damage",
"many of the jobs are commonly specialized in including smoke and water damage",
"many of the jobs are commonly specialized in including smoke and water damage",
"many of the jobs are commonly specialized in included smoke and water damage"
] |
many of the jobs her company specialized in included smoke and water damage
|
many of the jobs are commonly specialized in included smoke and water damage.
|
many of the jobs are currently specialized in included smoke and water damage. many of the jobs are commonly specialized in including smoke and water damage. many of the jobs are commonly specialized in including smoke and water damage. many of the jobs are commonly specialized in included smoke and water damage.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many of the jobs are commonly specialized in included smoke and water damage', 'many of the jobs are currently specialized in included smoke and water damage', 'many of the jobs are commonly specialized in including smoke and water damage', 'many of the jobs are commonly specialized in including smoke and water damage', 'many of the jobs are commonly specialized in included smoke and water damage']
|
|
[
"these caricatures were the work of brigadier general",
"these caricatures will the work of brigadier general",
"these caricatures were the work of brigade general",
"these caricatures were the work of brigadier general",
"these caricatures will the work of brigade general"
] |
these caricatures were the work of brig general
|
these caricatures were the work of brigadier general.
|
these caricatures will the work of brigadier general. these caricatures were the work of brigade general. these caricatures were the work of brigadier general. these caricatures will the work of brigade general.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these caricatures were the work of brigadier general', 'these caricatures will the work of brigadier general', 'these caricatures were the work of brigade general', 'these caricatures were the work of brigadier general', 'these caricatures will the work of brigade general']
|
|
[
"jessica was born in brixton south london and showed early progress at chas",
"chosko was born in brixton south london and showed early prowess at chos",
"jessica was born in brixton south london and showed early prowess at chas",
"chesco was born in brixton south london and showed early prowess at ches",
"chosco was born in brixton south london and showed early prowess at chos"
] |
truscott was born in brixton south london and showed early prowess at chess
|
jessica was born in brixton south london and showed early progress at chas.
|
chosko was born in brixton south london and showed early prowess at chos. jessica was born in brixton south london and showed early prowess at chas. chesco was born in brixton south london and showed early prowess at ches. chosco was born in brixton south london and showed early prowess at chos.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jessica was born in brixton south london and showed early progress at chas', 'chosko was born in brixton south london and showed early prowess at chos', 'jessica was born in brixton south london and showed early prowess at chas', 'chesco was born in brixton south london and showed early prowess at ches', 'chosco was born in brixton south london and showed early prowess at chos']
|
|
[
"i am contemplating by gin",
"i am contemplating buying gin",
"i am contemplating by gin",
"i am contemplating by jinn",
"i am contemplating by jinn"
] |
i m contemplating buying gin
|
i am contemplating by gin.
|
i am contemplating buying gin. i am contemplating by gin. i am contemplating by jinn. i am contemplating by jinn.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i am contemplating by gin', 'i am contemplating buying gin', 'i am contemplating by gin', 'i am contemplating by jinn', 'i am contemplating by jinn']
|
|
[
"he is a right up fast medium bowler",
"he is a right up fast medium bowl",
"use a right up fast medium bowl",
"he is a right up fast medium bowl",
"he is a right up fast medium bowler"
] |
he is a right arm fast medium bowler
|
he is a right up fast medium bowler.
|
he is a right up fast medium bowl. use a right up fast medium bowl. he is a right up fast medium bowl. he is a right up fast medium bowler.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is a right up fast medium bowler', 'he is a right up fast medium bowl', 'use a right up fast medium bowl', 'he is a right up fast medium bowl', 'he is a right up fast medium bowler']
|
|
[
"there are some mizandarani loan words in the turkmen language",
"there are some mizandarani loanwords in the turkmen language",
"there are some mazandarani loan words in the turkmen language",
"there are some mizandarani lone words in the turkmen language",
"there are some mazandarani loanwords in the turkmen language"
] |
there are some mazanderani loanwords in the turkmen language
|
there are some mizandarani loan words in the turkmen language.
|
there are some mizandarani loanwords in the turkmen language. there are some mazandarani loan words in the turkmen language. there are some mizandarani lone words in the turkmen language. there are some mazandarani loanwords in the turkmen language.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are some mizandarani loan words in the turkmen language', 'there are some mizandarani loanwords in the turkmen language', 'there are some mazandarani loan words in the turkmen language', 'there are some mizandarani lone words in the turkmen language', 'there are some mazandarani loanwords in the turkmen language']
|
|
[
"to embark which is to say false",
"to embark which is to say false",
"to embark which is to say false",
"draw in part which is to say false",
"to embark which is to say false"
] |
true in part which is to say false
|
to embark which is to say false.
|
to embark which is to say false. to embark which is to say false. draw in part which is to say false. to embark which is to say false.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to embark which is to say false', 'to embark which is to say false', 'to embark which is to say false', 'draw in part which is to say false', 'to embark which is to say false']
|
|
[
"more attended doorwitch collage",
"more attended doorwitch college",
"more attended door witch collage",
"more attended door witch collage",
"more attended doorwitch collage"
] |
mole attended dulwich college
|
more attended doorwitch collage.
|
more attended doorwitch college. more attended door witch collage. more attended door witch collage. more attended doorwitch collage.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more attended doorwitch collage', 'more attended doorwitch college', 'more attended door witch collage', 'more attended door witch collage', 'more attended doorwitch collage']
|
|
[
"his reference works in particular have you seen",
"his reference works in particular have you seen",
"his reference works in particular i have you seen",
"his reference works in particular i have you seen",
"his reference works in particular i have you seen"
] |
his reference works in particular have you seen .
|
his reference works in particular have you seen.
|
his reference works in particular have you seen. his reference works in particular i have you seen. his reference works in particular i have you seen. his reference works in particular i have you seen.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his reference works in particular have you seen', 'his reference works in particular have you seen', 'his reference works in particular i have you seen', 'his reference works in particular i have you seen', 'his reference works in particular i have you seen']
|
|
[
"this all increase and interest in chess which continued after the war",
"this will increase an interest in chess which continued after the war",
"this all increased and increased in chairs which continued after the war",
"this all increases an interest in chess which continued after the war",
"this all increase and interest in chairs which continued after the war"
] |
this all increased an interest in jazz which continued after the war
|
this all increase and interest in chess which continued after the war.
|
this will increase an interest in chess which continued after the war. this all increased and increased in chairs which continued after the war. this all increases an interest in chess which continued after the war. this all increase and interest in chairs which continued after the war.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this all increase and interest in chess which continued after the war', 'this will increase an interest in chess which continued after the war', 'this all increased and increased in chairs which continued after the war', 'this all increases an interest in chess which continued after the war', 'this all increase and interest in chairs which continued after the war']
|
|
[
"both have since moved to australia",
"both have since moved to australia",
"both have since moved to australia",
"both have since moved to australia",
"both have since moved to australia"
] |
both have since moved to australia
|
both have since moved to australia.
|
both have since moved to australia. both have since moved to australia. both have since moved to australia. both have since moved to australia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both have since moved to australia', 'both have since moved to australia', 'both have since moved to australia', 'both have since moved to australia', 'both have since moved to australia']
|
|
[
"i shall come and see your mother some fine day",
"i shall come and see your mother someday",
"i shall come and see your mother some fine day",
"i shall come and see your mother some fine day",
"i shall come and see your mother some fine day"
] |
i shall come and see your mother some fine day
|
i shall come and see your mother some fine day.
|
i shall come and see your mother someday. i shall come and see your mother some fine day. i shall come and see your mother some fine day. i shall come and see your mother some fine day.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i shall come and see your mother some fine day', 'i shall come and see your mother someday', 'i shall come and see your mother some fine day', 'i shall come and see your mother some fine day', 'i shall come and see your mother some fine day']
|
|
[
"paytoes can also be created using bricks block paving tiles or cobblers",
"paytoes can also be created using bricks block paving tiles or cobbles",
"paytoes can also be created using bricks block paving tiles or cobblers",
"paytoes can also be created using bricks block paving tiles or cobbles",
"paytoes can also be created using bricks block paving tiles or cobbles"
] |
patios can also be created using bricks block paving tiles or cobbles
|
paytoes can also be created using bricks block paving tiles or cobblers.
|
paytoes can also be created using bricks block paving tiles or cobbles. paytoes can also be created using bricks block paving tiles or cobblers. paytoes can also be created using bricks block paving tiles or cobbles. paytoes can also be created using bricks block paving tiles or cobbles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['paytoes can also be created using bricks block paving tiles or cobblers', 'paytoes can also be created using bricks block paving tiles or cobbles', 'paytoes can also be created using bricks block paving tiles or cobblers', 'paytoes can also be created using bricks block paving tiles or cobbles', 'paytoes can also be created using bricks block paving tiles or cobbles']
|
|
[
"violet down is accessible only by water or by helicopter",
"pilot down is accessible only by water or by helicopter",
"baila down is accessible only by water or by helicopter",
"bile up down is accessible only by water or by helicopter",
"biolet down is accessible only by water or by helicopter"
] |
pilottown is accessible only by water or by helicopter
|
violet down is accessible only by water or by helicopter.
|
pilot down is accessible only by water or by helicopter. baila down is accessible only by water or by helicopter. bile up down is accessible only by water or by helicopter. biolet down is accessible only by water or by helicopter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['violet down is accessible only by water or by helicopter', 'pilot down is accessible only by water or by helicopter', 'baila down is accessible only by water or by helicopter', 'bile up down is accessible only by water or by helicopter', 'biolet down is accessible only by water or by helicopter']
|
|
[
"his brother david is a musician",
"his brother david is a musician",
"is brother david is a musician",
"his brother davey is a musician",
"his brother david is a musician"
] |
his brother david is a musician
|
his brother david is a musician.
|
his brother david is a musician. is brother david is a musician. his brother davey is a musician. his brother david is a musician.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his brother david is a musician', 'his brother david is a musician', 'is brother david is a musician', 'his brother davey is a musician', 'his brother david is a musician']
|
|
[
"big patterns and return playing a different character",
"big patents and return playing a different character",
"dig patterns and return playing a different character",
"big patrons and return playing a different character",
"dic patterns and return playing a different character"
] |
dick patterson returned playing a different character
|
big patterns and return playing a different character.
|
big patents and return playing a different character. dig patterns and return playing a different character. big patrons and return playing a different character. dic patterns and return playing a different character.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['big patterns and return playing a different character', 'big patents and return playing a different character', 'dig patterns and return playing a different character', 'big patrons and return playing a different character', 'dic patterns and return playing a different character']
|
|
[
"good would name the street for himself responding whimsically to the resulting criticism not so",
"good would name the street for himself responding whimsically to the resulting criticism not so",
"good would name the street for himself responding仔ly to the resulting criticism not so",
"good would name the street for himself responding domestically to the resulting criticism not so",
"good would name the street for himself responding仔ly to the resulting criticism not so"
] |
woodward named the street for himself responding whimsically to the resulting criticism not so
|
good would name the street for himself responding whimsically to the resulting criticism not so.
|
good would name the street for himself responding whimsically to the resulting criticism not so. good would name the street for himself responding仔ly to the resulting criticism not so. good would name the street for himself responding domestically to the resulting criticism not so. good would name the street for himself responding仔ly to the resulting criticism not so.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['good would name the street for himself responding whimsically to the resulting criticism not so', 'good would name the street for himself responding whimsically to the resulting criticism not so', 'good would name the street for himself responding仔ly to the resulting criticism not so', 'good would name the street for himself responding domestically to the resulting criticism not so', 'good would name the street for himself responding仔ly to the resulting criticism not so']
|
|
[
"it features the sculpture of the unknown soldier by thomas b t",
"it features a sculpture of the unknown soldier by thomas b t",
"it features the sculpture of the unknown soldier by thomas beatty",
"it features a sculpture of the unknown soldier by thomas beatty",
"it features the sculpture of the unknown soldier by thomas b t"
] |
it features a sculpture of the unknown soldier by thomas beattie
|
it features the sculpture of the unknown soldier by thomas b t.
|
it features a sculpture of the unknown soldier by thomas b t. it features the sculpture of the unknown soldier by thomas beatty. it features a sculpture of the unknown soldier by thomas beatty. it features the sculpture of the unknown soldier by thomas b t.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it features the sculpture of the unknown soldier by thomas b t', 'it features a sculpture of the unknown soldier by thomas b t', 'it features the sculpture of the unknown soldier by thomas beatty', 'it features a sculpture of the unknown soldier by thomas beatty', 'it features the sculpture of the unknown soldier by thomas b t']
|
|
[
"the captain called for volunteers and leading the attack again drove them back",
"the captain called for volunteers and leading the attack again drove them back",
"the catten called for volunteers and leading the attack again drove them back",
"the captain called for volunteers and leading the attack again draws them back",
"the cat can call for volunteers and leading the attack again draws them back"
] |
the captain called for volunteers and leading the attack again drove them back
|
the captain called for volunteers and leading the attack again drove them back.
|
the captain called for volunteers and leading the attack again drove them back. the catten called for volunteers and leading the attack again drove them back. the captain called for volunteers and leading the attack again draws them back. the cat can call for volunteers and leading the attack again draws them back.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the captain called for volunteers and leading the attack again drove them back', 'the captain called for volunteers and leading the attack again drove them back', 'the catten called for volunteers and leading the attack again drove them back', 'the captain called for volunteers and leading the attack again draws them back', 'the cat can call for volunteers and leading the attack again draws them back']
|
|
[
"he was born in richmond virginia and died in new york",
"he was born in richmond virginia and died in new york",
"he was born in richmond virginia and died in new york",
"he was born in richmond virginia and died in new york",
"he was born in richmond virginia and died in new york"
] |
he was born in richmond virginia and died in new york
|
he was born in richmond virginia and died in new york.
|
he was born in richmond virginia and died in new york. he was born in richmond virginia and died in new york. he was born in richmond virginia and died in new york. he was born in richmond virginia and died in new york.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was born in richmond virginia and died in new york', 'he was born in richmond virginia and died in new york', 'he was born in richmond virginia and died in new york', 'he was born in richmond virginia and died in new york', 'he was born in richmond virginia and died in new york']
|
|
[
"the present day city of walla walla washington developed six miles to the east",
"the present day city of vala vala washington developed six miles to the east",
"the present day city of walla walla washington developed six miles to the east",
"the present day city of vala vala washington developed six miles to the east",
"the present day city of walla walla washington developed six miles to the east"
] |
the present day city of walla walla washington developed six miles to the east
|
the present day city of walla walla washington developed six miles to the east.
|
the present day city of vala vala washington developed six miles to the east. the present day city of walla walla washington developed six miles to the east. the present day city of vala vala washington developed six miles to the east. the present day city of walla walla washington developed six miles to the east.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the present day city of walla walla washington developed six miles to the east', 'the present day city of vala vala washington developed six miles to the east', 'the present day city of walla walla washington developed six miles to the east', 'the present day city of vala vala washington developed six miles to the east', 'the present day city of walla walla washington developed six miles to the east']
|
|
[
"the architecture thus offers a built in encapsulation mechanism to ensure system integrity",
"the architected first offers a built in encapsulation mechanism to ensure system integrity",
"the architected thus offers a built in encapsulation mechanism to ensure system integrity",
"the architecture first offers a built in encapsulation mechanism to ensure system integrity",
"the architecture class offers a built in encapsulation mechanism to ensure system integrity"
] |
the architecture thus offers a built in encapsulation mechanism to ensure system integrity
|
the architecture thus offers a built in encapsulation mechanism to ensure system integrity.
|
the architected first offers a built in encapsulation mechanism to ensure system integrity. the architected thus offers a built in encapsulation mechanism to ensure system integrity. the architecture first offers a built in encapsulation mechanism to ensure system integrity. the architecture class offers a built in encapsulation mechanism to ensure system integrity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the architecture thus offers a built in encapsulation mechanism to ensure system integrity', 'the architected first offers a built in encapsulation mechanism to ensure system integrity', 'the architected thus offers a built in encapsulation mechanism to ensure system integrity', 'the architecture first offers a built in encapsulation mechanism to ensure system integrity', 'the architecture class offers a built in encapsulation mechanism to ensure system integrity']
|
|
[
"he died the following afternoon at los angeles county general hospital",
"he died the following afternoon at los angeles county general hospital",
"he died the following afternoon at los angeles county general hospital",
"he died the following afternoon at los angeles county general hospital",
"he died the following afternoon at los angeles county general hospital"
] |
he died the following afternoon at los angeles county general hospital
|
he died the following afternoon at los angeles county general hospital.
|
he died the following afternoon at los angeles county general hospital. he died the following afternoon at los angeles county general hospital. he died the following afternoon at los angeles county general hospital. he died the following afternoon at los angeles county general hospital.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he died the following afternoon at los angeles county general hospital', 'he died the following afternoon at los angeles county general hospital', 'he died the following afternoon at los angeles county general hospital', 'he died the following afternoon at los angeles county general hospital', 'he died the following afternoon at los angeles county general hospital']
|
|
[
"the design is dubbed as the grand glide concept",
"the design is dubbed as the grand glide concept",
"the design is dubbed as the grand glide concept",
"the design is dubbed as the grand glide concept",
"the design is dubbed as the grand glide concept"
] |
this design is dubbed as the grand glide concept
|
the design is dubbed as the grand glide concept.
|
the design is dubbed as the grand glide concept. the design is dubbed as the grand glide concept. the design is dubbed as the grand glide concept. the design is dubbed as the grand glide concept.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the design is dubbed as the grand glide concept', 'the design is dubbed as the grand glide concept', 'the design is dubbed as the grand glide concept', 'the design is dubbed as the grand glide concept', 'the design is dubbed as the grand glide concept']
|
|
[
"she appeared in many spanish language films",
"she appeared in many spanish language films",
"she appeared in many spanish language films",
"she appeared in many spanish language films",
"she appeared in many spanish language films"
] |
she appeared in many spanish language films
|
she appeared in many spanish language films.
|
she appeared in many spanish language films. she appeared in many spanish language films. she appeared in many spanish language films. she appeared in many spanish language films.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she appeared in many spanish language films', 'she appeared in many spanish language films', 'she appeared in many spanish language films', 'she appeared in many spanish language films', 'she appeared in many spanish language films']
|
|
[
"the muslims faced restrictions during the sikh rule",
"the muslims feist restrictions during the sikh rule",
"the muslims face the restrictions during the sikh rule",
"the muslims face the restrictions during the sikh rule",
"the muslims faced restrictions during the sikh rule"
] |
the muslims faced restrictions during the sikh rule
|
the muslims faced restrictions during the sikh rule.
|
the muslims feist restrictions during the sikh rule. the muslims face the restrictions during the sikh rule. the muslims face the restrictions during the sikh rule. the muslims faced restrictions during the sikh rule.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the muslims faced restrictions during the sikh rule', 'the muslims feist restrictions during the sikh rule', 'the muslims face the restrictions during the sikh rule', 'the muslims face the restrictions during the sikh rule', 'the muslims faced restrictions during the sikh rule']
|
|
[
"fifty houses were destroyed",
"fifty houses were destroyed",
"fifty houses were destroyed",
"fifty houses were destroyed",
"fifty houses were destroyed"
] |
fifty houses were destroyed
|
fifty houses were destroyed.
|
fifty houses were destroyed. fifty houses were destroyed. fifty houses were destroyed. fifty houses were destroyed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fifty houses were destroyed', 'fifty houses were destroyed', 'fifty houses were destroyed', 'fifty houses were destroyed', 'fifty houses were destroyed']
|
|
[
"her character was chloe the classmate friend and love interest of jackson is character",
"her character was chloe the classmate friend and love interest of jackson is character",
"her character was chloe the classmate friend and love interest of jackson is character",
"her character was chloe the classmate friend and love interest of jackson is character",
"her character was chloe the classmate friend and love interest of jackson is character"
] |
her character was chloe the classmate friend and love interest of jackson is character
|
her character was chloe the classmate friend and love interest of jackson is character.
|
her character was chloe the classmate friend and love interest of jackson is character. her character was chloe the classmate friend and love interest of jackson is character. her character was chloe the classmate friend and love interest of jackson is character. her character was chloe the classmate friend and love interest of jackson is character.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her character was chloe the classmate friend and love interest of jackson is character', 'her character was chloe the classmate friend and love interest of jackson is character', 'her character was chloe the classmate friend and love interest of jackson is character', 'her character was chloe the classmate friend and love interest of jackson is character', 'her character was chloe the classmate friend and love interest of jackson is character']
|
|
[
"he was buried at montecito memorial park in colton",
"he was buried at montecita memorial park in colton",
"he was buried at montacito memorial park in colton",
"he was buried at montessita memorial park in colton",
"he was buried at montecito memorial park in coulton"
] |
he was buried at montecito memorial park in colton
|
he was buried at montecito memorial park in colton.
|
he was buried at montecita memorial park in colton. he was buried at montacito memorial park in colton. he was buried at montessita memorial park in colton. he was buried at montecito memorial park in coulton.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was buried at montecito memorial park in colton', 'he was buried at montecita memorial park in colton', 'he was buried at montacito memorial park in colton', 'he was buried at montessita memorial park in colton', 'he was buried at montecito memorial park in coulton']
|
|
[
"it has appeared in several newspaper articles",
"it has appeared in several news paper articles",
"it has appeared in several news paper articles",
"it has appeared in several newspaper articles",
"it has appeared in several newspaper articles"
] |
it has appeared in several newspaper articles
|
it has appeared in several newspaper articles.
|
it has appeared in several news paper articles. it has appeared in several news paper articles. it has appeared in several newspaper articles. it has appeared in several newspaper articles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has appeared in several newspaper articles', 'it has appeared in several news paper articles', 'it has appeared in several news paper articles', 'it has appeared in several newspaper articles', 'it has appeared in several newspaper articles']
|
|
[
"he earned a reputation for his fielding abilities",
"the under reputation for his fielding abilities",
"the under reputation for his fielding abilities",
"you earned a reputation for his fielding abilities",
"the under reputation for his fielding abilities"
] |
he earned a reputation for his fielding abilities
|
he earned a reputation for his fielding abilities.
|
the under reputation for his fielding abilities. the under reputation for his fielding abilities. you earned a reputation for his fielding abilities. the under reputation for his fielding abilities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he earned a reputation for his fielding abilities', 'the under reputation for his fielding abilities', 'the under reputation for his fielding abilities', 'you earned a reputation for his fielding abilities', 'the under reputation for his fielding abilities']
|
|
[
"rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio",
"rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio",
"rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio",
"rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio",
"rodgers has returned to cannabis third largest radio broadcasted behind bill media and new care radio"
] |
rogers has returned to canada is third largest radio broadcaster behind bell media and newcap radio
|
rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio.
|
rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio. rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio. rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio. rodgers has returned to cannabis third largest radio broadcasted behind bill media and new care radio.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio', 'rogers has returned to cannabis third largest radio broadcaster behind bill media and new care radio', 'rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio', 'rodgers has returned to cannabis third largest radio broadcaster behind bill media and new care radio', 'rodgers has returned to cannabis third largest radio broadcasted behind bill media and new care radio']
|
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