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 refers to stealth as denmark is international newspaper",
"it also refers to stealth as denmark is international newspaper",
"it also refers to shelf as denmark is international newspaper",
"it also refers to a shelf as denmark is international newspaper",
"it also refers to its shelf as denmark is international newspaper"
] |
it also refers to itself as denmark is international newspaper
|
it also refers to stealth as denmark is international newspaper.
|
it also refers to stealth as denmark is international newspaper. it also refers to shelf as denmark is international newspaper. it also refers to a shelf as denmark is international newspaper. it also refers to its shelf as denmark is international newspaper.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also refers to stealth as denmark is international newspaper', 'it also refers to stealth as denmark is international newspaper', 'it also refers to shelf as denmark is international newspaper', 'it also refers to a shelf as denmark is international newspaper', 'it also refers to its shelf as denmark is international newspaper']
|
|
[
"this coming child was too much for her",
"this coming child was too much for her",
"this coming child was too much for her",
"this coming child was too much for her",
"this coming child was too much for her"
] |
this coming child was too much for her
|
this coming child was too much for her.
|
this coming child was too much for her. this coming child was too much for her. this coming child was too much for her. this coming child was too much for her.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this coming child was too much for her', 'this coming child was too much for her', 'this coming child was too much for her', 'this coming child was too much for her', 'this coming child was too much for her']
|
|
[
"in cornell is often encountered in extreme environments",
"in cornel is often encountered in extreme environments",
"in cornell is often encountered in extreme environments",
"in cornell is often encountered in extreme environments",
"in connell is often encountered in extreme environments"
] |
inconel is often encountered in extreme environments
|
in cornell is often encountered in extreme environments.
|
in cornel is often encountered in extreme environments. in cornell is often encountered in extreme environments. in cornell is often encountered in extreme environments. in connell is often encountered in extreme environments.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in cornell is often encountered in extreme environments', 'in cornel is often encountered in extreme environments', 'in cornell is often encountered in extreme environments', 'in cornell is often encountered in extreme environments', 'in connell is often encountered in extreme environments']
|
|
[
"guildfold and taint at many of these events some of them produced by lee",
"guildfold and taint at many of these events some of them produced by lee",
"guildfold and tained at many of these events some of them produced by lee",
"guildfold and taint at many of these events some of them produce by lee",
"guildford and taint at many of these events some of them produced by lee"
] |
gilford entertained at many of these events some of them produced by lee
|
guildfold and taint at many of these events some of them produced by lee.
|
guildfold and taint at many of these events some of them produced by lee. guildfold and tained at many of these events some of them produced by lee. guildfold and taint at many of these events some of them produce by lee. guildford and taint at many of these events some of them produced by lee.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['guildfold and taint at many of these events some of them produced by lee', 'guildfold and taint at many of these events some of them produced by lee', 'guildfold and tained at many of these events some of them produced by lee', 'guildfold and taint at many of these events some of them produce by lee', 'guildford and taint at many of these events some of them produced by lee']
|
|
[
"that you should know in good time",
"that you shall know in good time",
"that you shall know in good time",
"that you shall know in good time",
"that you shall know in good time"
] |
that you shall know in good time
|
that you should know in good time.
|
that you shall know in good time. that you shall know in good time. that you shall know in good time. that you shall know in good time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that you should know in good time', 'that you shall know in good time', 'that you shall know in good time', 'that you shall know in good time', 'that you shall know in good time']
|
|
[
"he played three games for the danish national team",
"he played three games for the danish national team",
"he played three games for the danish national team",
"he played three games for the danish national team",
"he played three games for the danish national team"
] |
he played three games for the danish national team
|
he played three games for the danish national team.
|
he played three games for the danish national team. he played three games for the danish national team. he played three games for the danish national team. he played three games for the danish national team.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he played three games for the danish national team', 'he played three games for the danish national team', 'he played three games for the danish national team', 'he played three games for the danish national team', 'he played three games for the danish national team']
|
|
[
"while may i begin work on the los angeles civic center",
"while may i begin work on the los angeles civic center",
"while may are here again work on the los angeles civic center",
"while may i here again work on the los angeles civic center",
"while may i hereby again work on the los angeles civic center"
] |
while mayor he began work on the los angeles civic center
|
while may i begin work on the los angeles civic center.
|
while may i begin work on the los angeles civic center. while may are here again work on the los angeles civic center. while may i here again work on the los angeles civic center. while may i hereby again work on the los angeles civic center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['while may i begin work on the los angeles civic center', 'while may i begin work on the los angeles civic center', 'while may are here again work on the los angeles civic center', 'while may i here again work on the los angeles civic center', 'while may i hereby again work on the los angeles civic center']
|
|
[
"he was replaced as premier by konstantin adjin keone",
"he was replaced as premier by konstantin adjit kionel",
"he was replaced as premier by konstantin adjin kyeonghye",
"he was replaced as premier by konstantin adjit kioner",
"he was replaced as premier by konstantin adjeet kionel"
] |
he was replaced as premier by constantin argetoianu
|
he was replaced as premier by konstantin adjin keone.
|
he was replaced as premier by konstantin adjit kionel. he was replaced as premier by konstantin adjin kyeonghye. he was replaced as premier by konstantin adjit kioner. he was replaced as premier by konstantin adjeet kionel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was replaced as premier by konstantin adjin keone', 'he was replaced as premier by konstantin adjit kionel', 'he was replaced as premier by konstantin adjin kyeonghye', 'he was replaced as premier by konstantin adjit kioner', 'he was replaced as premier by konstantin adjeet kionel']
|
|
[
"both it is acted under the leadership and sanction of an apple or a cup",
"both it is acted under the leadership and sanction of an apple over a cup",
"both it is acted under the leadership and sanction of an apple or a cup",
"both it is acted under the leadership and sanction of an apple or a cut",
"both it is acted under the leadership and sanction of an apollo rocket"
] |
both cities acted under the leadership and sanction of an apollo oracle
|
both it is acted under the leadership and sanction of an apple or a cup.
|
both it is acted under the leadership and sanction of an apple over a cup. both it is acted under the leadership and sanction of an apple or a cup. both it is acted under the leadership and sanction of an apple or a cut. both it is acted under the leadership and sanction of an apollo rocket.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both it is acted under the leadership and sanction of an apple or a cup', 'both it is acted under the leadership and sanction of an apple over a cup', 'both it is acted under the leadership and sanction of an apple or a cup', 'both it is acted under the leadership and sanction of an apple or a cut', 'both it is acted under the leadership and sanction of an apollo rocket']
|
|
[
"this trademark goal scoring celebration was too gun shooting spree with both his hands",
"this trademark goal scoring celebration was two gun shootings brewed with both his hands",
"this trademark goal scoring celebration was to gun shooting spree with both his hands",
"this trademark goal scoring celebration was two gun shootings brewed with both his hands",
"this trademark goal scoring celebration was to gun shooting spree with both his hands"
] |
his trademark goal scoring celebration was a two gun shooting spree with both his hands
|
this trademark goal scoring celebration was too gun shooting spree with both his hands.
|
this trademark goal scoring celebration was two gun shootings brewed with both his hands. this trademark goal scoring celebration was to gun shooting spree with both his hands. this trademark goal scoring celebration was two gun shootings brewed with both his hands. this trademark goal scoring celebration was to gun shooting spree with both his hands.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this trademark goal scoring celebration was too gun shooting spree with both his hands', 'this trademark goal scoring celebration was two gun shootings brewed with both his hands', 'this trademark goal scoring celebration was to gun shooting spree with both his hands', 'this trademark goal scoring celebration was two gun shootings brewed with both his hands', 'this trademark goal scoring celebration was to gun shooting spree with both his hands']
|
|
[
"it is the home of the football team of harvard",
"it is the home of a football team of harvard",
"it is the home of the football team of harvard",
"it is the home of the football team of harvard",
"it is the home of the football team of harvard"
] |
it is the home of the football team of harvard
|
it is the home of the football team of harvard.
|
it is the home of a football team of harvard. it is the home of the football team of harvard. it is the home of the football team of harvard. it is the home of the football team of harvard.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the home of the football team of harvard', 'it is the home of a football team of harvard', 'it is the home of the football team of harvard', 'it is the home of the football team of harvard', 'it is the home of the football team of harvard']
|
|
[
"he was also written a number of books on cricket",
"he was also written a number of books on cricket",
"he was also ridden a number of books on cricket",
"he was also written a number of books on cricket",
"he was also written a number of books on cricket"
] |
he has also written a number of books on cricket
|
he was also written a number of books on cricket.
|
he was also written a number of books on cricket. he was also ridden a number of books on cricket. he was also written a number of books on cricket. he was also written a number of books on cricket.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was also written a number of books on cricket', 'he was also written a number of books on cricket', 'he was also ridden a number of books on cricket', 'he was also written a number of books on cricket', 'he was also written a number of books on cricket']
|
|
[
"she also co captain the team of senior ear",
"she also cocaptain the team of senior ear",
"she also co captain the team heart senior ear",
"she also cocaptain the team heart senior ear",
"she also concaptain the team of senior ear"
] |
she also co captained the team her senior year
|
she also co captain the team of senior ear.
|
she also cocaptain the team of senior ear. she also co captain the team heart senior ear. she also cocaptain the team heart senior ear. she also concaptain the team of senior ear.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she also co captain the team of senior ear', 'she also cocaptain the team of senior ear', 'she also co captain the team heart senior ear', 'she also cocaptain the team heart senior ear', 'she also concaptain the team of senior ear']
|
|
[
"a man looking down at a large pile shredded paper",
"a man looking down at a large pile shredded paper",
"and man looking down at a large pile shredded paper",
"a man looking down a large pile shredded paper",
"a man looking down on a large pile shredded paper"
] |
a man looking down at a large pile of shredded paper
|
a man looking down at a large pile shredded paper.
|
a man looking down at a large pile shredded paper. and man looking down at a large pile shredded paper. a man looking down a large pile shredded paper. a man looking down on a large pile shredded paper.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man looking down at a large pile shredded paper', 'a man looking down at a large pile shredded paper', 'and man looking down at a large pile shredded paper', 'a man looking down a large pile shredded paper', 'a man looking down on a large pile shredded paper']
|
|
[
"the glenfinn and viaduct features on some scottish banknotes",
"the glenfinn and viaduct features on some scottish banknotes",
"the glenfinn and veaduct features on some scottish banknotes",
"the glenfinn and vead act features on some scottish banknotes",
"the glenfinn and viaduct features on some scottish banknotes"
] |
the glenfinnan viaduct features on some scottish banknotes
|
the glenfinn and viaduct features on some scottish banknotes.
|
the glenfinn and viaduct features on some scottish banknotes. the glenfinn and veaduct features on some scottish banknotes. the glenfinn and vead act features on some scottish banknotes. the glenfinn and viaduct features on some scottish banknotes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the glenfinn and viaduct features on some scottish banknotes', 'the glenfinn and viaduct features on some scottish banknotes', 'the glenfinn and veaduct features on some scottish banknotes', 'the glenfinn and vead act features on some scottish banknotes', 'the glenfinn and viaduct features on some scottish banknotes']
|
|
[
"the single family was not below the poverty line",
"the single family was not below the poverty line",
"the single family was not below the poverty line",
"the single family was not below the poverty line",
"the single family was not below the poverty line"
] |
the single family was not below the poverty line
|
the single family was not below the poverty line.
|
the single family was not below the poverty line. the single family was not below the poverty line. the single family was not below the poverty line. the single family was not below the poverty line.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the single family was not below the poverty line', 'the single family was not below the poverty line', 'the single family was not below the poverty line', 'the single family was not below the poverty line', 'the single family was not below the poverty line']
|
|
[
"it was probably painted before the master left vologna for room",
"it was probably painted before the master left vologna for rome",
"it was probably painted before the master left gologna for room",
"it was probably painted before the master left gologna for rome",
"it was probably painted before the master left vologna for room"
] |
it was probably painted before the master left bologna for rome
|
it was probably painted before the master left vologna for room.
|
it was probably painted before the master left vologna for rome. it was probably painted before the master left gologna for room. it was probably painted before the master left gologna for rome. it was probably painted before the master left vologna for room.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was probably painted before the master left vologna for room', 'it was probably painted before the master left vologna for rome', 'it was probably painted before the master left gologna for room', 'it was probably painted before the master left gologna for rome', 'it was probably painted before the master left vologna for room']
|
|
[
"when he returned to mexico he continued to paint murals",
"when he returned to mexico he continued to paint murals",
"when he returned to mexico he continued to paint murals",
"when he returned to mexico he continued to paint murals",
"when he returned to mexico he continued to paint murals"
] |
when he returned to mexico he continued to paint murals
|
when he returned to mexico he continued to paint murals.
|
when he returned to mexico he continued to paint murals. when he returned to mexico he continued to paint murals. when he returned to mexico he continued to paint murals. when he returned to mexico he continued to paint murals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when he returned to mexico he continued to paint murals', 'when he returned to mexico he continued to paint murals', 'when he returned to mexico he continued to paint murals', 'when he returned to mexico he continued to paint murals', 'when he returned to mexico he continued to paint murals']
|
|
[
"however she does two occasional interviews mostly for the turner classic movies cable network",
"however she does do occasional interviews mostly for the turner classic movies cable network",
"however she does two occasional interviews mostly for the turner classic movies cable network",
"however she does do occasional interviews mostly for the turner classic movies cable network",
"however she does two occasional interviews mostly for the turner classic movies cable network"
] |
however she does do occasional interviews mostly for the turner classic movies cable network
|
however she does two occasional interviews mostly for the turner classic movies cable network.
|
however she does do occasional interviews mostly for the turner classic movies cable network. however she does two occasional interviews mostly for the turner classic movies cable network. however she does do occasional interviews mostly for the turner classic movies cable network. however she does two occasional interviews mostly for the turner classic movies cable network.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however she does two occasional interviews mostly for the turner classic movies cable network', 'however she does do occasional interviews mostly for the turner classic movies cable network', 'however she does two occasional interviews mostly for the turner classic movies cable network', 'however she does do occasional interviews mostly for the turner classic movies cable network', 'however she does two occasional interviews mostly for the turner classic movies cable network']
|
|
[
"constance father did not approve of douglas",
"constance father did not approve of douglas",
"constance father did not approve of douglas",
"constance father did not approve of douglas",
"constance father did not approve of douglas"
] |
custance is father did not approve of douglas
|
constance father did not approve of douglas.
|
constance father did not approve of douglas. constance father did not approve of douglas. constance father did not approve of douglas. constance father did not approve of douglas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['constance father did not approve of douglas', 'constance father did not approve of douglas', 'constance father did not approve of douglas', 'constance father did not approve of douglas', 'constance father did not approve of douglas']
|
|
[
"the roleplay also has applications in forecasting",
"roleplay also has applications in forecasting",
"the role play also has applications in forecasting",
"the roleplay also has applications in forecasting",
"roleplay also has applications in forecasting"
] |
role play also has applications in forecasting
|
the roleplay also has applications in forecasting.
|
roleplay also has applications in forecasting. the role play also has applications in forecasting. the roleplay also has applications in forecasting. roleplay also has applications in forecasting.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the roleplay also has applications in forecasting', 'roleplay also has applications in forecasting', 'the role play also has applications in forecasting', 'the roleplay also has applications in forecasting', 'roleplay also has applications in forecasting']
|
|
[
"the teen mascot is uncle slam",
"the team mascot is uncle slam",
"the teen mascot is uncle slam",
"the teen mascot is uncle slam",
"the teen mascot is uncle slam"
] |
the team mascot is uncle slam
|
the teen mascot is uncle slam.
|
the team mascot is uncle slam. the teen mascot is uncle slam. the teen mascot is uncle slam. the teen mascot is uncle slam.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the teen mascot is uncle slam', 'the team mascot is uncle slam', 'the teen mascot is uncle slam', 'the teen mascot is uncle slam', 'the teen mascot is uncle slam']
|
|
[
"theresa of jesus serving his headmistress for both schools",
"teresa of jesus serving his headmistress for both schools",
"tyraiser of jesus serving his headmistress for both schools",
"tareza of jesus serving his headmistress for both schools",
"to razor of jesus serving his headmistress for both schools"
] |
teresa of jesus serving as head mistress for both schools
|
theresa of jesus serving his headmistress for both schools.
|
teresa of jesus serving his headmistress for both schools. tyraiser of jesus serving his headmistress for both schools. tareza of jesus serving his headmistress for both schools. to razor of jesus serving his headmistress for both schools.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['theresa of jesus serving his headmistress for both schools', 'teresa of jesus serving his headmistress for both schools', 'tyraiser of jesus serving his headmistress for both schools', 'tareza of jesus serving his headmistress for both schools', 'to razor of jesus serving his headmistress for both schools']
|
|
[
"she is most known for her rules and lazier affirms",
"she is most known for her rules and lazier affirms",
"she is most known for her rules and lazier affirms",
"she is most known for her rules and lazier affirms",
"she is most known for her rules and lazier affirms"
] |
she is most known for her roles in nazi era films
|
she is most known for her rules and lazier affirms.
|
she is most known for her rules and lazier affirms. she is most known for her rules and lazier affirms. she is most known for her rules and lazier affirms. she is most known for her rules and lazier affirms.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is most known for her rules and lazier affirms', 'she is most known for her rules and lazier affirms', 'she is most known for her rules and lazier affirms', 'she is most known for her rules and lazier affirms', 'she is most known for her rules and lazier affirms']
|
|
[
"the next level of spiritual development is that of an operating certain",
"the next level of spiritual development is that of an operating setting",
"the next level of spiritual development is that of an operating set in",
"the next level of spiritual development is that of an operating set in",
"the next level of spiritual development is that of an operating thetan"
] |
the next level of spiritual development is that of an operating thetan
|
the next level of spiritual development is that of an operating certain.
|
the next level of spiritual development is that of an operating setting. the next level of spiritual development is that of an operating set in. the next level of spiritual development is that of an operating set in. the next level of spiritual development is that of an operating thetan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the next level of spiritual development is that of an operating certain', 'the next level of spiritual development is that of an operating setting', 'the next level of spiritual development is that of an operating set in', 'the next level of spiritual development is that of an operating set in', 'the next level of spiritual development is that of an operating thetan']
|
|
[
"he also starred in the pilot of the amazon studio series thereafter",
"he also starred in the pilot of the amazon studio series the after",
"he also starred in the pilot of the amazon studio series thereafter",
"he also starred in the pilot of the amazon studio series the after",
"he also starred in the pilot of the amazon studio series the after"
] |
he also starred in the pilot of the amazon studios series the after
|
he also starred in the pilot of the amazon studio series thereafter.
|
he also starred in the pilot of the amazon studio series the after. he also starred in the pilot of the amazon studio series thereafter. he also starred in the pilot of the amazon studio series the after. he also starred in the pilot of the amazon studio series the after.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also starred in the pilot of the amazon studio series thereafter', 'he also starred in the pilot of the amazon studio series the after', 'he also starred in the pilot of the amazon studio series thereafter', 'he also starred in the pilot of the amazon studio series the after', 'he also starred in the pilot of the amazon studio series the after']
|
|
[
"he has also repeatedly testified before the senate for a relations committee",
"he has also repeatedly testified before the senate foreign relations committee",
"he has also repeatedly testified before the senate for a relations committee",
"he has also repeatedly testified before the senate for a relations committee",
"he has also repeatedly testified before the senate foreign relations committee"
] |
he has also repeatedly testified before the senate foreign relations committee
|
he has also repeatedly testified before the senate for a relations committee.
|
he has also repeatedly testified before the senate foreign relations committee. he has also repeatedly testified before the senate for a relations committee. he has also repeatedly testified before the senate for a relations committee. he has also repeatedly testified before the senate foreign relations committee.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has also repeatedly testified before the senate for a relations committee', 'he has also repeatedly testified before the senate foreign relations committee', 'he has also repeatedly testified before the senate for a relations committee', 'he has also repeatedly testified before the senate for a relations committee', 'he has also repeatedly testified before the senate foreign relations committee']
|
|
[
"underground coal scene fires are customarily quenched by inertization through mine rescue personnel",
"underground coal seam fires are customarily quenched by inertization through mine rescue personnel",
"underground coal scene fires are customarily quenched by inertisation through mine rescue personnel",
"underground coal seam fires are customarily quenched by inertisation through mine rescue personnel",
"underground coal scene fires are customarily quenched by energization through mine rescue personnel"
] |
underground coal seam fires are customarily quenched by inertization through mine rescue personnel
|
underground coal scene fires are customarily quenched by inertization through mine rescue personnel.
|
underground coal seam fires are customarily quenched by inertization through mine rescue personnel. underground coal scene fires are customarily quenched by inertisation through mine rescue personnel. underground coal seam fires are customarily quenched by inertisation through mine rescue personnel. underground coal scene fires are customarily quenched by energization through mine rescue personnel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['underground coal scene fires are customarily quenched by inertization through mine rescue personnel', 'underground coal seam fires are customarily quenched by inertization through mine rescue personnel', 'underground coal scene fires are customarily quenched by inertisation through mine rescue personnel', 'underground coal seam fires are customarily quenched by inertisation through mine rescue personnel', 'underground coal scene fires are customarily quenched by energization through mine rescue personnel']
|
|
[
"unfortunately for a man that nick is not too happy about it",
"unfortunately for a man dianic is none too happy about it",
"unfortunately for a man die nick is none too happy about it",
"unfortunately for a man that nick is none too happy about it",
"unfortunately for a man that nick is not too happy about it"
] |
unfortunately for amanda nick is none too happy about it
|
unfortunately for a man that nick is not too happy about it.
|
unfortunately for a man dianic is none too happy about it. unfortunately for a man die nick is none too happy about it. unfortunately for a man that nick is none too happy about it. unfortunately for a man that nick is not too happy about it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unfortunately for a man that nick is not too happy about it', 'unfortunately for a man dianic is none too happy about it', 'unfortunately for a man die nick is none too happy about it', 'unfortunately for a man that nick is none too happy about it', 'unfortunately for a man that nick is not too happy about it']
|
|
[
"however modern dictionaries derive the name from certain",
"however modern dictionaries derive the theme from certain",
"however modern dictionaries devised a demon from satan",
"however modern dictionaries devised a theme from certain",
"however more than dictionaries derive the name from certain"
] |
however modern dictionaries derive the name from saturn
|
however modern dictionaries derive the name from certain.
|
however modern dictionaries derive the theme from certain. however modern dictionaries devised a demon from satan. however modern dictionaries devised a theme from certain. however more than dictionaries derive the name from certain.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however modern dictionaries derive the name from certain', 'however modern dictionaries derive the theme from certain', 'however modern dictionaries devised a demon from satan', 'however modern dictionaries devised a theme from certain', 'however more than dictionaries derive the name from certain']
|
|
[
"this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate payne inscription",
"this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription",
"this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate paying inscription",
"this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate panginscription",
"this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription"
] |
this is also a hieroglyphic luwian phoenician bilingual inscription similar to the karatepe inscription
|
this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate payne inscription.
|
this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription. this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate paying inscription. this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate panginscription. this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate payne inscription', 'this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription', 'this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate paying inscription', 'this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate panginscription', 'this is also a hard glyphic lewin phoenician by lingle inscription similar to the karate pagan inscription']
|
|
[
"the super structures iron work was manufactured by robert laidlow featuring an oriental style",
"the super structures iron work was manufactured by robert laidlow featuring an oriental style",
"the superstructures iron work was manufactured by robert laidlow featuring an oriental style",
"the superstructures iron work was manufactured by robert laidlow featuring an oriental style",
"the super structures iron work was manufactured by robert leidlow featuring an oriental style"
] |
the superstructure is ironwork was manufactured by robert laidlaw featuring an oriental style
|
the super structures iron work was manufactured by robert laidlow featuring an oriental style.
|
the super structures iron work was manufactured by robert laidlow featuring an oriental style. the superstructures iron work was manufactured by robert laidlow featuring an oriental style. the superstructures iron work was manufactured by robert laidlow featuring an oriental style. the super structures iron work was manufactured by robert leidlow featuring an oriental style.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the super structures iron work was manufactured by robert laidlow featuring an oriental style', 'the super structures iron work was manufactured by robert laidlow featuring an oriental style', 'the superstructures iron work was manufactured by robert laidlow featuring an oriental style', 'the superstructures iron work was manufactured by robert laidlow featuring an oriental style', 'the super structures iron work was manufactured by robert leidlow featuring an oriental style']
|
|
[
"its grandiose ceremonial features are centrally located",
"it is grandiose ceremonial features are centrally located",
"its grandiose ceremonial features are centrally located",
"it is grandiose ceremonial features are centrally located",
"its grandiose ceremonial features are centrally located"
] |
its grandiose ceremonial features are centrally located
|
its grandiose ceremonial features are centrally located.
|
it is grandiose ceremonial features are centrally located. its grandiose ceremonial features are centrally located. it is grandiose ceremonial features are centrally located. its grandiose ceremonial features are centrally located.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its grandiose ceremonial features are centrally located', 'it is grandiose ceremonial features are centrally located', 'its grandiose ceremonial features are centrally located', 'it is grandiose ceremonial features are centrally located', 'its grandiose ceremonial features are centrally located']
|
|
[
"the foot of the honor is the best maneuver for his learn",
"the foot of the honor is the best maneuver for his learn",
"the foot of the anor is the best maneuver for his learn",
"the foot of the owner is the best maneuver for his learn",
"the foot of the anar is the best maneuver for his learn"
] |
the foot of the owner is the best manure for his land
|
the foot of the honor is the best maneuver for his learn.
|
the foot of the honor is the best maneuver for his learn. the foot of the anor is the best maneuver for his learn. the foot of the owner is the best maneuver for his learn. the foot of the anar is the best maneuver for his learn.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the foot of the honor is the best maneuver for his learn', 'the foot of the honor is the best maneuver for his learn', 'the foot of the anor is the best maneuver for his learn', 'the foot of the owner is the best maneuver for his learn', 'the foot of the anar is the best maneuver for his learn']
|
|
[
"cinimagic patterns include the motollary brian cox and julian phillips",
"cinemagic patterns include the motollary brian cox and julian phillips",
"cinimagic patterns include the motollary brian cox and julian phillips",
"cinemagic patterns include the motollary brian cox and julian phillips",
"cinimagic patterns include the motolary brian cox and julian phillips"
] |
cinemagic is patrons include dermot o leary brian cox and julian fellowes
|
cinimagic patterns include the motollary brian cox and julian phillips.
|
cinemagic patterns include the motollary brian cox and julian phillips. cinimagic patterns include the motollary brian cox and julian phillips. cinemagic patterns include the motollary brian cox and julian phillips. cinimagic patterns include the motolary brian cox and julian phillips.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cinimagic patterns include the motollary brian cox and julian phillips', 'cinemagic patterns include the motollary brian cox and julian phillips', 'cinimagic patterns include the motollary brian cox and julian phillips', 'cinemagic patterns include the motollary brian cox and julian phillips', 'cinimagic patterns include the motolary brian cox and julian phillips']
|
|
[
"two issues were published before speak easy or not a business",
"two issues were published before speak easy or not a business",
"two issues were published before speak easy or not a business",
"two issues were published before speak easy or not a business",
"two issues were published before speak easy or not a business"
] |
two issues were published before speakeasy went out of business
|
two issues were published before speak easy or not a business.
|
two issues were published before speak easy or not a business. two issues were published before speak easy or not a business. two issues were published before speak easy or not a business. two issues were published before speak easy or not a business.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two issues were published before speak easy or not a business', 'two issues were published before speak easy or not a business', 'two issues were published before speak easy or not a business', 'two issues were published before speak easy or not a business', 'two issues were published before speak easy or not a business']
|
|
[
"agra lot was bonninson terce puerto rico of italian descent",
"agriolot was bonninson terce puerto rico of italian descent",
"agro lot was bonninson terce puerto rico of italian descent",
"agra lot was bonninson terce porto rico of italian descent",
"agriolot was bonninson terce porto rico of italian descent"
] |
agrelot was born in santurce puerto rico of italian descent
|
agra lot was bonninson terce puerto rico of italian descent.
|
agriolot was bonninson terce puerto rico of italian descent. agro lot was bonninson terce puerto rico of italian descent. agra lot was bonninson terce porto rico of italian descent. agriolot was bonninson terce porto rico of italian descent.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['agra lot was bonninson terce puerto rico of italian descent', 'agriolot was bonninson terce puerto rico of italian descent', 'agro lot was bonninson terce puerto rico of italian descent', 'agra lot was bonninson terce porto rico of italian descent', 'agriolot was bonninson terce porto rico of italian descent']
|
|
[
"for a moment he did not understand",
"for a moment he did not understand",
"for a moment he did not understand",
"for a moment he did not understand",
"he did not understand"
] |
for a moment he did not understand
|
for a moment he did not understand.
|
for a moment he did not understand. for a moment he did not understand. for a moment he did not understand. he did not understand.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for a moment he did not understand', 'for a moment he did not understand', 'for a moment he did not understand', 'for a moment he did not understand', 'he did not understand']
|
|
[
"linesdorf stayed with the company for only one season",
"line storf stayed with the company for only one season",
"linestorf stayed with the company for only one season",
"line store stayed with the company for only one season",
"line is dorf stayed with the company for only one season"
] |
leinsdorf stayed with the company for only one season
|
linesdorf stayed with the company for only one season.
|
line storf stayed with the company for only one season. linestorf stayed with the company for only one season. line store stayed with the company for only one season. line is dorf stayed with the company for only one season.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['linesdorf stayed with the company for only one season', 'line storf stayed with the company for only one season', 'linestorf stayed with the company for only one season', 'line store stayed with the company for only one season', 'line is dorf stayed with the company for only one season']
|
|
[
"question and foods on a jlg",
"question and foods on a general gym",
"question and foods on a general j",
"question and foods on a channel will do",
"question and foods on the channel will do"
] |
costumed kids on a jungle gym
|
question and foods on a jlg.
|
question and foods on a general gym. question and foods on a general j. question and foods on a channel will do. question and foods on the channel will do.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['question and foods on a jlg', 'question and foods on a general gym', 'question and foods on a general j', 'question and foods on a channel will do', 'question and foods on the channel will do']
|
|
[
"lead singer matthew greener explained they are all pictures of desperation",
"lead singer matthew greener explained they are all pictures of desperation",
"lead singer matthew greener explained they are all pictures of desperation",
"lead singer matthew greener explained they are all pictures of desperation",
"lead singer matthew greener explained they are all pictures of desperation"
] |
lead singer matthew greener explained they are all pictures of desperation
|
lead singer matthew greener explained they are all pictures of desperation.
|
lead singer matthew greener explained they are all pictures of desperation. lead singer matthew greener explained they are all pictures of desperation. lead singer matthew greener explained they are all pictures of desperation. lead singer matthew greener explained they are all pictures of desperation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lead singer matthew greener explained they are all pictures of desperation', 'lead singer matthew greener explained they are all pictures of desperation', 'lead singer matthew greener explained they are all pictures of desperation', 'lead singer matthew greener explained they are all pictures of desperation', 'lead singer matthew greener explained they are all pictures of desperation']
|
|
[
"can i see william comes to town at kb theaters",
"can i see william comes to town at kp theaters",
"can i see william comes to town at kb theaters",
"can i see william comes to town at kb theaters",
"can i see william comes to town at the kp theaters"
] |
can i see william comes to town at kb theaters
|
can i see william comes to town at kb theaters.
|
can i see william comes to town at kp theaters. can i see william comes to town at kb theaters. can i see william comes to town at kb theaters. can i see william comes to town at the kp theaters.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['can i see william comes to town at kb theaters', 'can i see william comes to town at kp theaters', 'can i see william comes to town at kb theaters', 'can i see william comes to town at kb theaters', 'can i see william comes to town at the kp theaters']
|
|
[
"the mouse in itself is a very reflecting and bright object",
"the mountain itself is a very reflecting and bright object",
"the mouse in itself is a very reflective and bright object",
"the nelson itself is a very reflecting and bright object",
"the mouse in itself is a very reflecting and bright object"
] |
the mountain itself is a very reflective and bright object
|
the mouse in itself is a very reflecting and bright object.
|
the mountain itself is a very reflecting and bright object. the mouse in itself is a very reflective and bright object. the nelson itself is a very reflecting and bright object. the mouse in itself is a very reflecting and bright object.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mouse in itself is a very reflecting and bright object', 'the mountain itself is a very reflecting and bright object', 'the mouse in itself is a very reflective and bright object', 'the nelson itself is a very reflecting and bright object', 'the mouse in itself is a very reflecting and bright object']
|
|
[
"the church and the convent bill then were only made of light materials",
"the church and the convent bill then were only made of light materials",
"the church and the convent bill then were only made of light materials",
"the church and the convent bill then were only made of light materials",
"the church and the convent builden were only made of light materials"
] |
the church and the convent built then were only made of light materials
|
the church and the convent bill then were only made of light materials.
|
the church and the convent bill then were only made of light materials. the church and the convent bill then were only made of light materials. the church and the convent bill then were only made of light materials. the church and the convent builden were only made of light materials.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the church and the convent bill then were only made of light materials', 'the church and the convent bill then were only made of light materials', 'the church and the convent bill then were only made of light materials', 'the church and the convent bill then were only made of light materials', 'the church and the convent builden were only made of light materials']
|
|
[
"the seat of justice for lawrence county was at davidsonville in presente arkansas",
"the seat of justice for lawrence county was at davidsonville in presonty arkansas",
"the seat of justice for lawrence county was at davidsonville in presente arkansas",
"the seat of justice for lawrence county was at davidsonville in presonty arkansas",
"the seat of justice for lawrence county was at davidsonville in preson arkansas"
] |
the seat of justice for lawrence county was at davidsonville in present day arkansas
|
the seat of justice for lawrence county was at davidsonville in presente arkansas.
|
the seat of justice for lawrence county was at davidsonville in presonty arkansas. the seat of justice for lawrence county was at davidsonville in presente arkansas. the seat of justice for lawrence county was at davidsonville in presonty arkansas. the seat of justice for lawrence county was at davidsonville in preson arkansas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the seat of justice for lawrence county was at davidsonville in presente arkansas', 'the seat of justice for lawrence county was at davidsonville in presonty arkansas', 'the seat of justice for lawrence county was at davidsonville in presente arkansas', 'the seat of justice for lawrence county was at davidsonville in presonty arkansas', 'the seat of justice for lawrence county was at davidsonville in preson arkansas']
|
|
[
"motivated by his own prophecy told me attempts to stab alexander but alexander prevents him",
"motivated by his own prophecy told me attempts to stab alexander but alexander prevents him",
"motivated by his own prophecy told me attempts to stab alexandre but alexandre prevents him",
"motivated by his own prophecy told me attempts to stab alexander but alexander prevents him",
"motivated by his own prophecy told me attempts to stab alexander but alexander prevents him"
] |
motivated by his own prophecy ptolemy attempts to stab alexander but alexander prevents him
|
motivated by his own prophecy told me attempts to stab alexander but alexander prevents him.
|
motivated by his own prophecy told me attempts to stab alexander but alexander prevents him. motivated by his own prophecy told me attempts to stab alexandre but alexandre prevents him. motivated by his own prophecy told me attempts to stab alexander but alexander prevents him. motivated by his own prophecy told me attempts to stab alexander but alexander prevents him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['motivated by his own prophecy told me attempts to stab alexander but alexander prevents him', 'motivated by his own prophecy told me attempts to stab alexander but alexander prevents him', 'motivated by his own prophecy told me attempts to stab alexandre but alexandre prevents him', 'motivated by his own prophecy told me attempts to stab alexander but alexander prevents him', 'motivated by his own prophecy told me attempts to stab alexander but alexander prevents him']
|
|
[
"classmates included egyptian sassanetian and production designer ek lem chuan",
"classmates included egyptian sassanetian and production designer ek lem chuen",
"classmates included egypt sassanetian and production designer ek lem chuen",
"classmates included egypt sassanetian and production designer ek lem chuan",
"classmates included egypt sassanetian and production designer ek lem chuan"
] |
classmates included wisit sasanatieng and production designer ek iemchuen
|
classmates included egyptian sassanetian and production designer ek lem chuan.
|
classmates included egyptian sassanetian and production designer ek lem chuen. classmates included egypt sassanetian and production designer ek lem chuen. classmates included egypt sassanetian and production designer ek lem chuan. classmates included egypt sassanetian and production designer ek lem chuan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['classmates included egyptian sassanetian and production designer ek lem chuan', 'classmates included egyptian sassanetian and production designer ek lem chuen', 'classmates included egypt sassanetian and production designer ek lem chuen', 'classmates included egypt sassanetian and production designer ek lem chuan', 'classmates included egypt sassanetian and production designer ek lem chuan']
|
|
[
"this implies that farmers are using powerful engines to bring water out",
"this implies that formers are using powerful engines to bring water out",
"this implies that farmers are using powerful engines to bring water out",
"this implies that farmers are using powerful engines to bring water out",
"this implies that farmers are using powerful engines to bring water out"
] |
this implies that farmers are using powerful engines to bring water out
|
this implies that farmers are using powerful engines to bring water out.
|
this implies that formers are using powerful engines to bring water out. this implies that farmers are using powerful engines to bring water out. this implies that farmers are using powerful engines to bring water out. this implies that farmers are using powerful engines to bring water out.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this implies that farmers are using powerful engines to bring water out', 'this implies that formers are using powerful engines to bring water out', 'this implies that farmers are using powerful engines to bring water out', 'this implies that farmers are using powerful engines to bring water out', 'this implies that farmers are using powerful engines to bring water out']
|
|
[
"bans was also a writer and columnist",
"fans was also a writer and columnist",
"barnes was also a writer and columnist",
"bands was also a writer and columnist",
"banz was also a writer and columnist"
] |
barnes was also a writer and columnist
|
bans was also a writer and columnist.
|
fans was also a writer and columnist. barnes was also a writer and columnist. bands was also a writer and columnist. banz was also a writer and columnist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bans was also a writer and columnist', 'fans was also a writer and columnist', 'barnes was also a writer and columnist', 'bands was also a writer and columnist', 'banz was also a writer and columnist']
|
|
[
"orion and the ducks train horde focusing specifically on the fence around the goal",
"orion and the ducks train horde focusing specifically on the faints around the goal",
"orion and the ducks train hard focusing specifically on the fence around the goal",
"orion and the ducks train horde focusing specifically on the feints around the goal",
"orion and the ducks train hard focusing specifically on the fence around the goal"
] |
orion and the ducks train hard focusing specifically on defense around the goal
|
orion and the ducks train horde focusing specifically on the fence around the goal.
|
orion and the ducks train horde focusing specifically on the faints around the goal. orion and the ducks train hard focusing specifically on the fence around the goal. orion and the ducks train horde focusing specifically on the feints around the goal. orion and the ducks train hard focusing specifically on the fence around the goal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['orion and the ducks train horde focusing specifically on the fence around the goal', 'orion and the ducks train horde focusing specifically on the faints around the goal', 'orion and the ducks train hard focusing specifically on the fence around the goal', 'orion and the ducks train horde focusing specifically on the feints around the goal', 'orion and the ducks train hard focusing specifically on the fence around the goal']
|
|
[
"there are several committees and organizations within the township of drainbrook",
"there are several committees and organizations within the township of trainbrook",
"there are several committees and organizations within the township of drainbrook",
"there are several committees and organizations within the township of trainbrook",
"there are several committees and organizations within the township of drainbrook"
] |
there are several committees and organizations within the township of green brook
|
there are several committees and organizations within the township of drainbrook.
|
there are several committees and organizations within the township of trainbrook. there are several committees and organizations within the township of drainbrook. there are several committees and organizations within the township of trainbrook. there are several committees and organizations within the township of drainbrook.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are several committees and organizations within the township of drainbrook', 'there are several committees and organizations within the township of trainbrook', 'there are several committees and organizations within the township of drainbrook', 'there are several committees and organizations within the township of trainbrook', 'there are several committees and organizations within the township of drainbrook']
|
|
[
"the channel also showed highlights of every match in the tournament",
"the channel also showed highlights of every matching the tournament",
"the channel also showed highlights of every match in the tournament",
"the channel also showed highlights of every machine the tournament",
"the channel also showed highlights of every match in the tournament"
] |
the channel also showed highlights of every match in the tournament
|
the channel also showed highlights of every match in the tournament.
|
the channel also showed highlights of every matching the tournament. the channel also showed highlights of every match in the tournament. the channel also showed highlights of every machine the tournament. the channel also showed highlights of every match in the tournament.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the channel also showed highlights of every match in the tournament', 'the channel also showed highlights of every matching the tournament', 'the channel also showed highlights of every match in the tournament', 'the channel also showed highlights of every machine the tournament', 'the channel also showed highlights of every match in the tournament']
|
|
[
"the rebel guerrillas attacked the control is base and rescued the doctor",
"the rebel guerrillas attacked the control is base and rescued a doctor",
"the rebel guerrillas attacked the control is base in rescue the doctor",
"the rebel of gorillas attacked the control is base and rescued the doctor",
"the rebel guerrillas attacked the control base and rescued the doctor"
] |
the rebel guerrillas attack the controller is base and rescue the doctor
|
the rebel guerrillas attacked the control is base and rescued the doctor.
|
the rebel guerrillas attacked the control is base and rescued a doctor. the rebel guerrillas attacked the control is base in rescue the doctor. the rebel of gorillas attacked the control is base and rescued the doctor. the rebel guerrillas attacked the control base and rescued the doctor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the rebel guerrillas attacked the control is base and rescued the doctor', 'the rebel guerrillas attacked the control is base and rescued a doctor', 'the rebel guerrillas attacked the control is base in rescue the doctor', 'the rebel of gorillas attacked the control is base and rescued the doctor', 'the rebel guerrillas attacked the control base and rescued the doctor']
|
|
[
"beardsville is initial this switcher was ampax records",
"beards will initial this return was impacts records",
"beards will initial this switcher was ampax records",
"beardsville is initial twitter was ampax records",
"beards will initial this feature was ampax records"
] |
bearsville is initial distributor was ampex records
|
beardsville is initial this switcher was ampax records.
|
beards will initial this return was impacts records. beards will initial this switcher was ampax records. beardsville is initial twitter was ampax records. beards will initial this feature was ampax records.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['beardsville is initial this switcher was ampax records', 'beards will initial this return was impacts records', 'beards will initial this switcher was ampax records', 'beardsville is initial twitter was ampax records', 'beards will initial this feature was ampax records']
|
|
[
"she kept this surname as her professional name",
"she kept this surname as her proportional name",
"she kept his surname as her professional name",
"she kept this surname as the proportional name",
"she kept his surname as her proportional name"
] |
she kept his surname as her professional name
|
she kept this surname as her professional name.
|
she kept this surname as her proportional name. she kept his surname as her professional name. she kept this surname as the proportional name. she kept his surname as her proportional name.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she kept this surname as her professional name', 'she kept this surname as her proportional name', 'she kept his surname as her professional name', 'she kept this surname as the proportional name', 'she kept his surname as her proportional name']
|
|
[
"for a while lowers operated under the sony theaters banner",
"for a while lois operated under the sony theaters banner",
"for a while lois operated under the sony theater is banner",
"for a while lois operated under the sony theater is banner",
"for a while lowers operated under the sony theater is banner"
] |
for a while loews operated under the sony theaters banner
|
for a while lowers operated under the sony theaters banner.
|
for a while lois operated under the sony theaters banner. for a while lois operated under the sony theater is banner. for a while lois operated under the sony theater is banner. for a while lowers operated under the sony theater is banner.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for a while lowers operated under the sony theaters banner', 'for a while lois operated under the sony theaters banner', 'for a while lois operated under the sony theater is banner', 'for a while lois operated under the sony theater is banner', 'for a while lowers operated under the sony theater is banner']
|
|
[
"in india a black snake replaces the wolf and a mongoose replaces the dog",
"in india a black snake replaced with a wolf and a mongoose replaces the dog",
"in india a black snake replaced with a wolf and a mongoose replaces the dog",
"in india a black snake replaced the wolf and a mongoose replaces the dog",
"in india a black snake replaces the wolf and a mongoose replaces the dog"
] |
in india a black snake replaces the wolf and a mongoose replaces the dog
|
in india a black snake replaces the wolf and a mongoose replaces the dog.
|
in india a black snake replaced with a wolf and a mongoose replaces the dog. in india a black snake replaced with a wolf and a mongoose replaces the dog. in india a black snake replaced the wolf and a mongoose replaces the dog. in india a black snake replaces the wolf and a mongoose replaces the dog.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in india a black snake replaces the wolf and a mongoose replaces the dog', 'in india a black snake replaced with a wolf and a mongoose replaces the dog', 'in india a black snake replaced with a wolf and a mongoose replaces the dog', 'in india a black snake replaced the wolf and a mongoose replaces the dog', 'in india a black snake replaces the wolf and a mongoose replaces the dog']
|
|
[
"the castle was probably came to nihauha by way of flying from khoi",
"the castle was probably came to nihauha by way of fine from khoi",
"the castle was probably came to nyauha by way of fine from khoi",
"the castle was probably came to nyauha by way of flying from khoi",
"the castle was probably came to neoha by way of fine from khoi"
] |
the grasshoppers probably came to nihoa by way of wind from kauai
|
the castle was probably came to nihauha by way of flying from khoi.
|
the castle was probably came to nihauha by way of fine from khoi. the castle was probably came to nyauha by way of fine from khoi. the castle was probably came to nyauha by way of flying from khoi. the castle was probably came to neoha by way of fine from khoi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the castle was probably came to nihauha by way of flying from khoi', 'the castle was probably came to nihauha by way of fine from khoi', 'the castle was probably came to nyauha by way of fine from khoi', 'the castle was probably came to nyauha by way of flying from khoi', 'the castle was probably came to neoha by way of fine from khoi']
|
|
[
"as in other gothic novels the notion of the sublime is central",
"as in other gothic novels the notion of the sublime is central",
"as in other gothic novels the notion of the sublime is central",
"as in other gothic novels the notion of the sublime is central",
"as in other gothic novels the notion of the sublime is central"
] |
as in other gothic novels the notion of the sublime is central
|
as in other gothic novels the notion of the sublime is central.
|
as in other gothic novels the notion of the sublime is central. as in other gothic novels the notion of the sublime is central. as in other gothic novels the notion of the sublime is central. as in other gothic novels the notion of the sublime is central.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as in other gothic novels the notion of the sublime is central', 'as in other gothic novels the notion of the sublime is central', 'as in other gothic novels the notion of the sublime is central', 'as in other gothic novels the notion of the sublime is central', 'as in other gothic novels the notion of the sublime is central']
|
|
[
"he took them on a yacht bound for norway",
"he took them on a yacht bound for norway",
"he took them on a yacht bound for norway",
"he took them on a yacht bound for norway",
"he took them on a yacht bound for norway"
] |
he took them on a yacht bound for norway
|
he took them on a yacht bound for norway.
|
he took them on a yacht bound for norway. he took them on a yacht bound for norway. he took them on a yacht bound for norway. he took them on a yacht bound for norway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he took them on a yacht bound for norway', 'he took them on a yacht bound for norway', 'he took them on a yacht bound for norway', 'he took them on a yacht bound for norway', 'he took them on a yacht bound for norway']
|
|
[
"named for alexandra the queen of the united kingdom",
"named for alexandra the queen of the euror kingdom",
"named for al aksandra the queen of the unark kingdom",
"named for al aksandra the queen of the united kingdom",
"named for al aksandra the queen of the unarkindas"
] |
named for alexandra then queen of the united kingdom
|
named for alexandra the queen of the united kingdom.
|
named for alexandra the queen of the euror kingdom. named for al aksandra the queen of the unark kingdom. named for al aksandra the queen of the united kingdom. named for al aksandra the queen of the unarkindas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['named for alexandra the queen of the united kingdom', 'named for alexandra the queen of the euror kingdom', 'named for al aksandra the queen of the unark kingdom', 'named for al aksandra the queen of the united kingdom', 'named for al aksandra the queen of the unarkindas']
|
|
[
"glass was stepped to death and his wife and daughter thrown overboard",
"glass was stabbed to death and his wife and daughter thrown overboard",
"glass was stepped to death and his wife and daughter thrown overboard",
"glass was stabbed to death and his wife and daughter thrown overboard",
"glass was stepped to death and his wife and daughter is own overboard"
] |
glas was stabbed to death and his wife and daughter thrown overboard
|
glass was stepped to death and his wife and daughter thrown overboard.
|
glass was stabbed to death and his wife and daughter thrown overboard. glass was stepped to death and his wife and daughter thrown overboard. glass was stabbed to death and his wife and daughter thrown overboard. glass was stepped to death and his wife and daughter is own overboard.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['glass was stepped to death and his wife and daughter thrown overboard', 'glass was stabbed to death and his wife and daughter thrown overboard', 'glass was stepped to death and his wife and daughter thrown overboard', 'glass was stabbed to death and his wife and daughter thrown overboard', 'glass was stepped to death and his wife and daughter is own overboard']
|
|
[
"nowadays tens are used by athletes of any age in any sport discipline",
"nowadays tensor used by athletes of any age in any sport discipline",
"nowadays tents are used by athletes of any age in any sport discipline",
"nowadays tensor used by athletes of any age in any sport discipline",
"nowadays tensor used by athletes of any age in any sport discipline"
] |
nowadays tents are used by athletes of any age in any sports discipline
|
nowadays tens are used by athletes of any age in any sport discipline.
|
nowadays tensor used by athletes of any age in any sport discipline. nowadays tents are used by athletes of any age in any sport discipline. nowadays tensor used by athletes of any age in any sport discipline. nowadays tensor used by athletes of any age in any sport discipline.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nowadays tens are used by athletes of any age in any sport discipline', 'nowadays tensor used by athletes of any age in any sport discipline', 'nowadays tents are used by athletes of any age in any sport discipline', 'nowadays tensor used by athletes of any age in any sport discipline', 'nowadays tensor used by athletes of any age in any sport discipline']
|
|
[
"hattikwa and edits israel shilah knew broke off and which to form as mali israel",
"hattikwa and edits israel shilah knew broke off and which to form as mali israel",
"hattikwa and edith israel shilah knew broke off and which to form as mali israel",
"hattikwa and edits israel shaila knew broke off and which to form as mali israel",
"hattikwa and edits israel shilah knew broke off and managed to form as mali israel"
] |
hatikva and eretz yisrael shelanu broke off and merged to form otzma leyisrael
|
hattikwa and edits israel shilah knew broke off and which to form as mali israel.
|
hattikwa and edits israel shilah knew broke off and which to form as mali israel. hattikwa and edith israel shilah knew broke off and which to form as mali israel. hattikwa and edits israel shaila knew broke off and which to form as mali israel. hattikwa and edits israel shilah knew broke off and managed to form as mali israel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hattikwa and edits israel shilah knew broke off and which to form as mali israel', 'hattikwa and edits israel shilah knew broke off and which to form as mali israel', 'hattikwa and edith israel shilah knew broke off and which to form as mali israel', 'hattikwa and edits israel shaila knew broke off and which to form as mali israel', 'hattikwa and edits israel shilah knew broke off and managed to form as mali israel']
|
|
[
"another is the old doorbell circuit fed from a transformer",
"another is the old doorbells are cute fed from a transformer",
"another is a old doorbell circuit fed from a transformer",
"another is an old doorbell circuit fed from a transformer",
"another is the old doorbells were cute fed from a transformer"
] |
another is the old door bell circuit fed from a transformer
|
another is the old doorbell circuit fed from a transformer.
|
another is the old doorbells are cute fed from a transformer. another is a old doorbell circuit fed from a transformer. another is an old doorbell circuit fed from a transformer. another is the old doorbells were cute fed from a transformer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another is the old doorbell circuit fed from a transformer', 'another is the old doorbells are cute fed from a transformer', 'another is a old doorbell circuit fed from a transformer', 'another is an old doorbell circuit fed from a transformer', 'another is the old doorbells were cute fed from a transformer']
|
|
[
"after the war the economy continued to be agriculture but timber was also harvested",
"after the war the economy continued to be agriculture but timber was also harvested",
"after the war the economy continued to be agriculture but timber was also harvested",
"after the war the economy continued to be agriculture but timber was also harvested",
"after the war the economy continued to be agriculture but timber was also harvested"
] |
after the war the economy continued to be agricultural but timber was also harvested
|
after the war the economy continued to be agriculture but timber was also harvested.
|
after the war the economy continued to be agriculture but timber was also harvested. after the war the economy continued to be agriculture but timber was also harvested. after the war the economy continued to be agriculture but timber was also harvested. after the war the economy continued to be agriculture but timber was also harvested.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after the war the economy continued to be agriculture but timber was also harvested', 'after the war the economy continued to be agriculture but timber was also harvested', 'after the war the economy continued to be agriculture but timber was also harvested', 'after the war the economy continued to be agriculture but timber was also harvested', 'after the war the economy continued to be agriculture but timber was also harvested']
|
|
[
"best of my love became the band is first of five chart toppers",
"best of my love became the band is first of five chart toppers",
"best of my love became the band is first of five chart toppers",
"the best of my love became the band is first of five chart toppers",
"best of my love became the band is first of five chart toppers"
] |
best of my love became the band is first of five chart toppers
|
best of my love became the band is first of five chart toppers.
|
best of my love became the band is first of five chart toppers. best of my love became the band is first of five chart toppers. the best of my love became the band is first of five chart toppers. best of my love became the band is first of five chart toppers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['best of my love became the band is first of five chart toppers', 'best of my love became the band is first of five chart toppers', 'best of my love became the band is first of five chart toppers', 'the best of my love became the band is first of five chart toppers', 'best of my love became the band is first of five chart toppers']
|
|
[
"it is also ready in australia parts of europe and the united states",
"it is also ready in australia parts of europe and the united states",
"it is also ready not really a part of europe and the united states",
"it is also read in australia parts of europe and the united states",
"it is also made in australia parts of europe and the united states"
] |
it is also bred in australia parts of europe and the united states
|
it is also ready in australia parts of europe and the united states.
|
it is also ready in australia parts of europe and the united states. it is also ready not really a part of europe and the united states. it is also read in australia parts of europe and the united states. it is also made in australia parts of europe and the united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also ready in australia parts of europe and the united states', 'it is also ready in australia parts of europe and the united states', 'it is also ready not really a part of europe and the united states', 'it is also read in australia parts of europe and the united states', 'it is also made in australia parts of europe and the united states']
|
|
[
"others of genres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera",
"other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera",
"others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera",
"others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera",
"other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera"
] |
other subgenres of mexican cumbia include cumbia mariachi cumbia andina mexicana and cumbia sonidera
|
others of genres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera.
|
other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera. others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera. others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera. other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['others of genres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera', 'other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera', 'others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera', 'others of genres of mexican kumbia include kumbia mariachi kumbia adina mexicana and kumbia sonidera', 'other subgenres of mexican cumbia include cumbia mariachi cumbia adina mexicana and cumbia sonidera']
|
|
[
"the amount added to retained earnings is generally the off to tax net income",
"the amount added to retained earnings is generally the after tax that income",
"the amount added to retained earnings is generally the off to text net income",
"the amount added to retained earnings is generally the aftertax that income",
"the amount added to retained earnings is generally the after tax net income"
] |
the amount added to retained earnings is generally the after tax net income
|
the amount added to retained earnings is generally the off to tax net income.
|
the amount added to retained earnings is generally the after tax that income. the amount added to retained earnings is generally the off to text net income. the amount added to retained earnings is generally the aftertax that income. the amount added to retained earnings is generally the after tax net income.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the amount added to retained earnings is generally the off to tax net income', 'the amount added to retained earnings is generally the after tax that income', 'the amount added to retained earnings is generally the off to text net income', 'the amount added to retained earnings is generally the aftertax that income', 'the amount added to retained earnings is generally the after tax net income']
|
|
[
"from then on the party was subjected to severe pressure",
"from then on the party was subjected to severe overpressure",
"from then on the party was subjected to severe pressure",
"from there on the party was subjected to severe pressure",
"from then on the party was subjected to severe repression"
] |
from then on the party was subjected to severe repression
|
from then on the party was subjected to severe pressure.
|
from then on the party was subjected to severe overpressure. from then on the party was subjected to severe pressure. from there on the party was subjected to severe pressure. from then on the party was subjected to severe repression.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['from then on the party was subjected to severe pressure', 'from then on the party was subjected to severe overpressure', 'from then on the party was subjected to severe pressure', 'from there on the party was subjected to severe pressure', 'from then on the party was subjected to severe repression']
|
|
[
"point rae is national seashore offers some of the finest bird watching in the united states",
"point rae is national seashore offers some of the finest book watching in the united states",
"point rae is national seashore offers some of the finest book watching the united states",
"point rae is national seashore offers some of the finest bird watching the united states",
"point rae is national sea shore offers some of the finest bird watching in the united states"
] |
point reyes national seashore offers some of the finest birdwatching in the united states
|
point rae is national seashore offers some of the finest bird watching in the united states.
|
point rae is national seashore offers some of the finest book watching in the united states. point rae is national seashore offers some of the finest book watching the united states. point rae is national seashore offers some of the finest bird watching the united states. point rae is national sea shore offers some of the finest bird watching in the united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['point rae is national seashore offers some of the finest bird watching in the united states', 'point rae is national seashore offers some of the finest book watching in the united states', 'point rae is national seashore offers some of the finest book watching the united states', 'point rae is national seashore offers some of the finest bird watching the united states', 'point rae is national sea shore offers some of the finest bird watching in the united states']
|
|
[
"this scholarship provides assistance to worthy college bound bay area students and continues today",
"this scholarship provides assistance to worthy college bound bay area students and continues today",
"this scholarship provides assistance to worthy collegebound bay area students and continues today",
"this scholarship provides assistance to worthy collegebound bay area students and continues today",
"this scholarship provides assistance to worthy collegebound bay area students and continues today"
] |
this scholarship provides assistance to worthy college bound bay area students and continues today
|
this scholarship provides assistance to worthy college bound bay area students and continues today.
|
this scholarship provides assistance to worthy college bound bay area students and continues today. this scholarship provides assistance to worthy collegebound bay area students and continues today. this scholarship provides assistance to worthy collegebound bay area students and continues today. this scholarship provides assistance to worthy collegebound bay area students and continues today.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this scholarship provides assistance to worthy college bound bay area students and continues today', 'this scholarship provides assistance to worthy college bound bay area students and continues today', 'this scholarship provides assistance to worthy collegebound bay area students and continues today', 'this scholarship provides assistance to worthy collegebound bay area students and continues today', 'this scholarship provides assistance to worthy collegebound bay area students and continues today']
|
|
[
"it is a ranching community today",
"it is a branching community today",
"it is a ranching community today",
"it is a ranching community today",
"it is a branching community today"
] |
it is a ranching community today
|
it is a ranching community today.
|
it is a branching community today. it is a ranching community today. it is a ranching community today. it is a branching community today.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a ranching community today', 'it is a branching community today', 'it is a ranching community today', 'it is a ranching community today', 'it is a branching community today']
|
|
[
"the country and the only incorporated municipality in the county is silvertown",
"the country and the only incorporated municipality in the county is chinwetown",
"the currency and the only incorporated modicibility in the county is silver town",
"the current seat and the only incorporated municipality in the county is silvertown",
"the currency and the only incorporated modipity in the county is silver town"
] |
the county seat and the only incorporated municipality in the county is silverton
|
the country and the only incorporated municipality in the county is silvertown.
|
the country and the only incorporated municipality in the county is chinwetown. the currency and the only incorporated modicibility in the county is silver town. the current seat and the only incorporated municipality in the county is silvertown. the currency and the only incorporated modipity in the county is silver town.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the country and the only incorporated municipality in the county is silvertown', 'the country and the only incorporated municipality in the county is chinwetown', 'the currency and the only incorporated modicibility in the county is silver town', 'the current seat and the only incorporated municipality in the county is silvertown', 'the currency and the only incorporated modipity in the county is silver town']
|
|
[
"the plot concerns four teenagers trying to lose their virginity",
"the plot concerns for teenagers trying to lose their virginity",
"the plot concerns for teenagers trying to lose their virginity",
"the plot concerns for teenagers trying to lose their virginity",
"the plot concerns for teenagers trying to lose their virginity"
] |
the plot concerns four teenagers trying to lose their virginity
|
the plot concerns four teenagers trying to lose their virginity.
|
the plot concerns for teenagers trying to lose their virginity. the plot concerns for teenagers trying to lose their virginity. the plot concerns for teenagers trying to lose their virginity. the plot concerns for teenagers trying to lose their virginity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the plot concerns four teenagers trying to lose their virginity', 'the plot concerns for teenagers trying to lose their virginity', 'the plot concerns for teenagers trying to lose their virginity', 'the plot concerns for teenagers trying to lose their virginity', 'the plot concerns for teenagers trying to lose their virginity']
|
|
[
"the up of christ appears to be an historical inaccuracy",
"the upper crest appears to be an historical inaccuracy",
"the up of christ appears to be on historical inaccuracy",
"the up of christ appears to be a historical inaccuracy",
"the up of christ appears to be an historical inaccuracy"
] |
the above crest appears to be an historical inaccuaracy
|
the up of christ appears to be an historical inaccuracy.
|
the upper crest appears to be an historical inaccuracy. the up of christ appears to be on historical inaccuracy. the up of christ appears to be a historical inaccuracy. the up of christ appears to be an historical inaccuracy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the up of christ appears to be an historical inaccuracy', 'the upper crest appears to be an historical inaccuracy', 'the up of christ appears to be on historical inaccuracy', 'the up of christ appears to be a historical inaccuracy', 'the up of christ appears to be an historical inaccuracy']
|
|
[
"so then play the ball shadow of the target",
"so then play the bullshadder of the target",
"so then play the blue shadow of the target",
"so then play the bullshatter of the target",
"so then play the ball shatter of the target"
] |
children played in the bluish shadow of the pavilion
|
so then play the ball shadow of the target.
|
so then play the bullshadder of the target. so then play the blue shadow of the target. so then play the bullshatter of the target. so then play the ball shatter of the target.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so then play the ball shadow of the target', 'so then play the bullshadder of the target', 'so then play the blue shadow of the target', 'so then play the bullshatter of the target', 'so then play the ball shatter of the target']
|
|
[
"the pilot was brian beanie",
"the pilot was brian bini",
"the pilot was brian beaming",
"the pilot was brian beany",
"the pilot was brian beanie"
] |
the pilot was brian binnie
|
the pilot was brian beanie.
|
the pilot was brian bini. the pilot was brian beaming. the pilot was brian beany. the pilot was brian beanie.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the pilot was brian beanie', 'the pilot was brian bini', 'the pilot was brian beaming', 'the pilot was brian beany', 'the pilot was brian beanie']
|
|
[
"he therefore said about trying to evict bohemian from antioch",
"he therefore sit about trying to evict bohemian from antioch",
"he therefore said about trying to evict bahemian from antioch",
"he therefore set about trying to evict bohemian from antioch",
"he therefore sit about trying to evict bohemian from antioch"
] |
he therefore set about trying to evict bohemond from antioch
|
he therefore said about trying to evict bohemian from antioch.
|
he therefore sit about trying to evict bohemian from antioch. he therefore said about trying to evict bahemian from antioch. he therefore set about trying to evict bohemian from antioch. he therefore sit about trying to evict bohemian from antioch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he therefore said about trying to evict bohemian from antioch', 'he therefore sit about trying to evict bohemian from antioch', 'he therefore said about trying to evict bahemian from antioch', 'he therefore set about trying to evict bohemian from antioch', 'he therefore sit about trying to evict bohemian from antioch']
|
|
[
"the vitra beach monastery with its beautiful hill park located in the neighborhood",
"the vitra beach monastery with its beautiful hill park located in the neighborhood",
"the vitra beach monastery with its beautiful hill park ahead in the neighborhood",
"the vitrabitchi monastery with its beautiful hill park located in the neighborhood",
"the vitra bitchy monastery with its beautiful hill park located in the neighborhood"
] |
the vydubychi monastery with its beautiful hill park are located in the neighborhood
|
the vitra beach monastery with its beautiful hill park located in the neighborhood.
|
the vitra beach monastery with its beautiful hill park located in the neighborhood. the vitra beach monastery with its beautiful hill park ahead in the neighborhood. the vitrabitchi monastery with its beautiful hill park located in the neighborhood. the vitra bitchy monastery with its beautiful hill park located in the neighborhood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the vitra beach monastery with its beautiful hill park located in the neighborhood', 'the vitra beach monastery with its beautiful hill park located in the neighborhood', 'the vitra beach monastery with its beautiful hill park ahead in the neighborhood', 'the vitrabitchi monastery with its beautiful hill park located in the neighborhood', 'the vitra bitchy monastery with its beautiful hill park located in the neighborhood']
|
|
[
"two white dogs and two brown dogs running through the grass",
"two white dogs and two brown dogs running through the grass",
"two white dogs and two brown dogs running through the grass",
"two white dogs and two brown dogs running through the grass",
"two white dogs and two brown dogs running through the grass"
] |
two white dogs and two brown dogs running through the grass
|
two white dogs and two brown dogs running through the grass.
|
two white dogs and two brown dogs running through the grass. two white dogs and two brown dogs running through the grass. two white dogs and two brown dogs running through the grass. two white dogs and two brown dogs running through the grass.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two white dogs and two brown dogs running through the grass', 'two white dogs and two brown dogs running through the grass', 'two white dogs and two brown dogs running through the grass', 'two white dogs and two brown dogs running through the grass', 'two white dogs and two brown dogs running through the grass']
|
|
[
"max the cash on the pen memory or memory card",
"max the cash on the rent memory or memory card",
"max the cash on the pen memory a memory card",
"max the cash on the plan memory or memory card",
"max the cash on the pen memory of memory card"
] |
maps are cached on the phone memory or memorycard
|
max the cash on the pen memory or memory card.
|
max the cash on the rent memory or memory card. max the cash on the pen memory a memory card. max the cash on the plan memory or memory card. max the cash on the pen memory of memory card.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['max the cash on the pen memory or memory card', 'max the cash on the rent memory or memory card', 'max the cash on the pen memory a memory card', 'max the cash on the plan memory or memory card', 'max the cash on the pen memory of memory card']
|
|
[
"he lived and maintained studios in aspen corridor and claremont california",
"he lived and maintained studios in aspen corridor and claremont california",
"he lived and maintained studios in aspen correta and claremont california",
"he lived and maintained studios in aspen corredo and claremont california",
"he lived and maintained studios in aspen corridor and clamont california"
] |
he lived and maintained studios in aspen colorado and claremont california
|
he lived and maintained studios in aspen corridor and claremont california.
|
he lived and maintained studios in aspen corridor and claremont california. he lived and maintained studios in aspen correta and claremont california. he lived and maintained studios in aspen corredo and claremont california. he lived and maintained studios in aspen corridor and clamont california.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he lived and maintained studios in aspen corridor and claremont california', 'he lived and maintained studios in aspen corridor and claremont california', 'he lived and maintained studios in aspen correta and claremont california', 'he lived and maintained studios in aspen corredo and claremont california', 'he lived and maintained studios in aspen corridor and clamont california']
|
|
[
"nevertheless holistic culture will continue to thrive in egypt while after the muslim conquest",
"nevertheless holistic culture continues to thrive in egypt while after the muslim conquest",
"nevertheless holistic culture continue to thrive in egypt while after the muslim conquest",
"nevertheless holistic culture will continue to thrive in the egypt while after the muslim conquest",
"nevertheless holistic culture continued to thrive in egypt while after the muslim conquest"
] |
nevertheless hellenistic culture continued to thrive in egypt well after the muslim conquest
|
nevertheless holistic culture will continue to thrive in egypt while after the muslim conquest.
|
nevertheless holistic culture continues to thrive in egypt while after the muslim conquest. nevertheless holistic culture continue to thrive in egypt while after the muslim conquest. nevertheless holistic culture will continue to thrive in the egypt while after the muslim conquest. nevertheless holistic culture continued to thrive in egypt while after the muslim conquest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nevertheless holistic culture will continue to thrive in egypt while after the muslim conquest', 'nevertheless holistic culture continues to thrive in egypt while after the muslim conquest', 'nevertheless holistic culture continue to thrive in egypt while after the muslim conquest', 'nevertheless holistic culture will continue to thrive in the egypt while after the muslim conquest', 'nevertheless holistic culture continued to thrive in egypt while after the muslim conquest']
|
|
[
"ultimately the house voted to allow him a known voting seat in the house",
"ultimately the house wanted to allow him a known voting seat in the house",
"ultimately the house ordered to allow him a known voting seat in the house",
"ultimately the house water to allow him a known voting seat in the house",
"ultimately the house wanted to allow him a normal voting seat in the house"
] |
ultimately the house voted to allow him a non voting seat in the house
|
ultimately the house voted to allow him a known voting seat in the house.
|
ultimately the house wanted to allow him a known voting seat in the house. ultimately the house ordered to allow him a known voting seat in the house. ultimately the house water to allow him a known voting seat in the house. ultimately the house wanted to allow him a normal voting seat in the house.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ultimately the house voted to allow him a known voting seat in the house', 'ultimately the house wanted to allow him a known voting seat in the house', 'ultimately the house ordered to allow him a known voting seat in the house', 'ultimately the house water to allow him a known voting seat in the house', 'ultimately the house wanted to allow him a normal voting seat in the house']
|
|
[
"for a time it was also known as adding ten shared",
"for a time it was also known as adding ten shot",
"for a time it was also known as adding ten share",
"for a time it was also known as adding ten shout",
"for a time it was also known as adding ten shared"
] |
for a time it was also known as haddingtonshire
|
for a time it was also known as adding ten shared.
|
for a time it was also known as adding ten shot. for a time it was also known as adding ten share. for a time it was also known as adding ten shout. for a time it was also known as adding ten shared.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for a time it was also known as adding ten shared', 'for a time it was also known as adding ten shot', 'for a time it was also known as adding ten share', 'for a time it was also known as adding ten shout', 'for a time it was also known as adding ten shared']
|
|
[
"a pathway between the former patron and lower box sections was also made",
"a pathway between the former patron and lower box sections was also made",
"a pathway between the former patron and lower box sections was also made",
"a pathway between the former patron and lower box sections was also made",
"a pathway between the former patron and lower box sections was also made"
] |
a pathway between the former patron and lower box sections was also made
|
a pathway between the former patron and lower box sections was also made.
|
a pathway between the former patron and lower box sections was also made. a pathway between the former patron and lower box sections was also made. a pathway between the former patron and lower box sections was also made. a pathway between the former patron and lower box sections was also made.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a pathway between the former patron and lower box sections was also made', 'a pathway between the former patron and lower box sections was also made', 'a pathway between the former patron and lower box sections was also made', 'a pathway between the former patron and lower box sections was also made', 'a pathway between the former patron and lower box sections was also made']
|
|
[
"the song has been included on several compilations of simon is work",
"this song has been included on several compilations of simon is work",
"the song has been included on several compilations of simons work",
"the song has been included on several compilations of simons work",
"this song has been included on several compilations of simon is work"
] |
the song has been included on several compilations of simon is work
|
the song has been included on several compilations of simon is work.
|
this song has been included on several compilations of simon is work. the song has been included on several compilations of simons work. the song has been included on several compilations of simons work. this song has been included on several compilations of simon is work.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the song has been included on several compilations of simon is work', 'this song has been included on several compilations of simon is work', 'the song has been included on several compilations of simons work', 'the song has been included on several compilations of simons work', 'this song has been included on several compilations of simon is work']
|
|
[
"the man in the gray shirt has a blue baseball cap on",
"the man in the gray shirt has a blue baseball cap on",
"the man in the creature has a blue baseball cap on",
"the man in the grishaert has a blue baseball cap on",
"the man in the grishaet has a blue baseball cap on"
] |
the man in the gray shirt has a blue baseball cap on
|
the man in the gray shirt has a blue baseball cap on.
|
the man in the gray shirt has a blue baseball cap on. the man in the creature has a blue baseball cap on. the man in the grishaert has a blue baseball cap on. the man in the grishaet has a blue baseball cap on.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the man in the gray shirt has a blue baseball cap on', 'the man in the gray shirt has a blue baseball cap on', 'the man in the creature has a blue baseball cap on', 'the man in the grishaert has a blue baseball cap on', 'the man in the grishaet has a blue baseball cap on']
|
|
[
"she bought charles philip two daughters both of whom died young",
"she bought charles philip two daughters both of whom died young",
"she bought charles philip two daughters both of whom died young",
"she bought charles philip two daughters both of whom died young",
"she bought charles philip two daughters both of whom died young"
] |
she bore charles philip two daughters both of whom died young
|
she bought charles philip two daughters both of whom died young.
|
she bought charles philip two daughters both of whom died young. she bought charles philip two daughters both of whom died young. she bought charles philip two daughters both of whom died young. she bought charles philip two daughters both of whom died young.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she bought charles philip two daughters both of whom died young', 'she bought charles philip two daughters both of whom died young', 'she bought charles philip two daughters both of whom died young', 'she bought charles philip two daughters both of whom died young', 'she bought charles philip two daughters both of whom died young']
|
|
[
"oh very hearty congratulations",
"oh very hearty congratulations",
"oh very hearty congratulations",
"oh very hearty congratulations",
"oh very hearty congratulations"
] |
oh very hearty congratulations
|
oh very hearty congratulations.
|
oh very hearty congratulations. oh very hearty congratulations. oh very hearty congratulations. oh very hearty congratulations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['oh very hearty congratulations', 'oh very hearty congratulations', 'oh very hearty congratulations', 'oh very hearty congratulations', 'oh very hearty congratulations']
|
|
[
"he bought undecorated porcelain from hutshin pithur and other manufacturers which he then decorated",
"he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated",
"he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated",
"he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated",
"he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated"
] |
he bought undecorated porcelain from hutschenreuther and other manufacturers which he then decorated
|
he bought undecorated porcelain from hutshin pithur and other manufacturers which he then decorated.
|
he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated. he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated. he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated. he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he bought undecorated porcelain from hutshin pithur and other manufacturers which he then decorated', 'he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated', 'he bought undecorated porcelain from hutshin peter and other manufacturers which he then decorated', 'he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated', 'he bought undecorated porcelain from hutschen peter and other manufacturers which he then decorated']
|
|
[
"what are the most contentious issues you are facing",
"we are on the most contentious issues you are facing",
"what are the most contentious issues you are facing",
"what are the most contentious issues you are facing",
"what are the most contentious issues you are facing"
] |
what are the most contentious issues you are facing
|
what are the most contentious issues you are facing.
|
we are on the most contentious issues you are facing. what are the most contentious issues you are facing. what are the most contentious issues you are facing. what are the most contentious issues you are facing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['what are the most contentious issues you are facing', 'we are on the most contentious issues you are facing', 'what are the most contentious issues you are facing', 'what are the most contentious issues you are facing', 'what are the most contentious issues you are facing']
|
|
[
"the song details obie is various encounters with women in a bar",
"the song details obey is various encounters with women in a bar",
"the song details ob is various encounters with women in a bar",
"the song details oby is various encounters with women in a bar",
"the song details obi is various encounters with women in a bar"
] |
the song details obie is various encounters with women in a bar
|
the song details obie is various encounters with women in a bar.
|
the song details obey is various encounters with women in a bar. the song details ob is various encounters with women in a bar. the song details oby is various encounters with women in a bar. the song details obi is various encounters with women in a bar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the song details obie is various encounters with women in a bar', 'the song details obey is various encounters with women in a bar', 'the song details ob is various encounters with women in a bar', 'the song details oby is various encounters with women in a bar', 'the song details obi is various encounters with women in a bar']
|
|
[
"this structure is called a comparator",
"this structure is called a comparative",
"this structure is called a comparative",
"this structure is called a comparative",
"this structure is called a comparative"
] |
this structure is called a comparator
|
this structure is called a comparator.
|
this structure is called a comparative. this structure is called a comparative. this structure is called a comparative. this structure is called a comparative.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this structure is called a comparator', 'this structure is called a comparative', 'this structure is called a comparative', 'this structure is called a comparative', 'this structure is called a comparative']
|
|
[
"fort howard was reoccupied two years later",
"thought howard was reoccupied two years later",
"fought howard was reoccupied two years later",
"ford howard was reoccupied two years later",
"fort howard was reoccupied two years later"
] |
fort howard was reoccupied two years later
|
fort howard was reoccupied two years later.
|
thought howard was reoccupied two years later. fought howard was reoccupied two years later. ford howard was reoccupied two years later. fort howard was reoccupied two years later.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fort howard was reoccupied two years later', 'thought howard was reoccupied two years later', 'fought howard was reoccupied two years later', 'ford howard was reoccupied two years later', 'fort howard was reoccupied two years later']
|
|
[
"he graduated from sirakus with a bachelor is degree in health and exercise science",
"he graduated from surakus with a bachelor is degree in health and exercise science",
"he graduated from srirakis with a bachelor is degree in health and exercise science",
"he graduated from syrakis with a bachelor is degree in health and exercise science",
"he graduated from sirakos with a bachelor is degree in health and exercise science"
] |
he graduated from syracuse with a bachelor is degree in health and exercise science
|
he graduated from sirakus with a bachelor is degree in health and exercise science.
|
he graduated from surakus with a bachelor is degree in health and exercise science. he graduated from srirakis with a bachelor is degree in health and exercise science. he graduated from syrakis with a bachelor is degree in health and exercise science. he graduated from sirakos with a bachelor is degree in health and exercise science.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he graduated from sirakus with a bachelor is degree in health and exercise science', 'he graduated from surakus with a bachelor is degree in health and exercise science', 'he graduated from srirakis with a bachelor is degree in health and exercise science', 'he graduated from syrakis with a bachelor is degree in health and exercise science', 'he graduated from sirakos with a bachelor is degree in health and exercise science']
|
|
[
"two years later the expired institutions were allowed to return to school",
"two years later the expired instructions were allowed to return to school",
"two years later the expired institutions were allowed to return to school",
"two years later the expired institutions were allowed to return to school",
"two years later that expired institutions were allowed to return to school"
] |
two years later the expelled students were allowed to return to school
|
two years later the expired institutions were allowed to return to school.
|
two years later the expired instructions were allowed to return to school. two years later the expired institutions were allowed to return to school. two years later the expired institutions were allowed to return to school. two years later that expired institutions were allowed to return to school.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two years later the expired institutions were allowed to return to school', 'two years later the expired instructions were allowed to return to school', 'two years later the expired institutions were allowed to return to school', 'two years later the expired institutions were allowed to return to school', 'two years later that expired institutions were allowed to return to school']
|
|
[
"he married at least four more times",
"he married at least four more times",
"he married at least four more times",
"he married at least four more times",
"he married at least four more times"
] |
he married at least four more times
|
he married at least four more times.
|
he married at least four more times. he married at least four more times. he married at least four more times. he married at least four more times.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he married at least four more times', 'he married at least four more times', 'he married at least four more times', 'he married at least four more times', 'he married at least four more times']
|
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