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 was later found that mice were the culprit is responsible for the missing food",
"it was later found that mice were the culprit responsible for the missing food",
"it was later found that mice were the culprit is responsible for missing food",
"it was later found that mice were the culprit responsible for missing food",
"it was later found that mice were the culprit is responsible for the missing food"
] |
it was later found that mice were the culprits responsible for the missing food
|
it was later found that mice were the culprit is responsible for the missing food.
|
it was later found that mice were the culprit responsible for the missing food. it was later found that mice were the culprit is responsible for missing food. it was later found that mice were the culprit responsible for missing food. it was later found that mice were the culprit is responsible for the missing food.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was later found that mice were the culprit is responsible for the missing food', 'it was later found that mice were the culprit responsible for the missing food', 'it was later found that mice were the culprit is responsible for missing food', 'it was later found that mice were the culprit responsible for missing food', 'it was later found that mice were the culprit is responsible for the missing food']
|
|
[
"i would rather like him",
"i rather like him",
"i would rather like him",
"i would rather like him",
"i would rather like him"
] |
i rather liked him
|
i would rather like him.
|
i rather like him. i would rather like him. i would rather like him. i would rather like him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i would rather like him', 'i rather like him', 'i would rather like him', 'i would rather like him', 'i would rather like him']
|
|
[
"pass this into change the freeway continues east through more rural areas",
"pass this into change the freeway continues east through more rural areas",
"pass this into chains the freeway continues east through more rural areas",
"pass this into change that freeway continues east through more rural areas",
"pass this into chains that freeway continues east through more rural areas"
] |
past this interchange the freeway continues east through more rural areas
|
pass this into change the freeway continues east through more rural areas.
|
pass this into change the freeway continues east through more rural areas. pass this into chains the freeway continues east through more rural areas. pass this into change that freeway continues east through more rural areas. pass this into chains that freeway continues east through more rural areas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pass this into change the freeway continues east through more rural areas', 'pass this into change the freeway continues east through more rural areas', 'pass this into chains the freeway continues east through more rural areas', 'pass this into change that freeway continues east through more rural areas', 'pass this into chains that freeway continues east through more rural areas']
|
|
[
"diana married art historian dennis far and her son and her daughter",
"diana married art historian dennis far and had a son and a daughter",
"diana married art historian dennis far and her son and a daughter",
"diana married art historian dennis far and her son and a daughter",
"diana married art historian dennis far and her son and a daughter"
] |
diana married art historian dennis farr and had a son and a daughter
|
diana married art historian dennis far and her son and her daughter.
|
diana married art historian dennis far and had a son and a daughter. diana married art historian dennis far and her son and a daughter. diana married art historian dennis far and her son and a daughter. diana married art historian dennis far and her son and a daughter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['diana married art historian dennis far and her son and her daughter', 'diana married art historian dennis far and had a son and a daughter', 'diana married art historian dennis far and her son and a daughter', 'diana married art historian dennis far and her son and a daughter', 'diana married art historian dennis far and her son and a daughter']
|
|
[
"however responsibility for the seal is delegated to the clerk of the executive council",
"however responsibility for the seal is delegated to the clerk of the executive council",
"however responsibility for the seal is delegated to the clerk of the executive counsel",
"however responsibility for this seal is delegated to the clerk of the executive council",
"however responsibility for this seal is delegated to the clerk of the executive council"
] |
however responsibility for the seal is delegated to the clerk of the executive council
|
however responsibility for the seal is delegated to the clerk of the executive council.
|
however responsibility for the seal is delegated to the clerk of the executive council. however responsibility for the seal is delegated to the clerk of the executive counsel. however responsibility for this seal is delegated to the clerk of the executive council. however responsibility for this seal is delegated to the clerk of the executive council.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however responsibility for the seal is delegated to the clerk of the executive council', 'however responsibility for the seal is delegated to the clerk of the executive council', 'however responsibility for the seal is delegated to the clerk of the executive counsel', 'however responsibility for this seal is delegated to the clerk of the executive council', 'however responsibility for this seal is delegated to the clerk of the executive council']
|
|
[
"a popular choice of equipment for this terrain is the twin tips key",
"a popular choice of equipment for this terrain is the twin tips key",
"a popular choice of equipment for gister and is the twin tips key",
"a popular choice of equipment for this terrain is the twin tipsy",
"a popular choice of equipment for grister and is the twin tips key"
] |
a popular choice of equipment for this terrain is the twin tip ski
|
a popular choice of equipment for this terrain is the twin tips key.
|
a popular choice of equipment for this terrain is the twin tips key. a popular choice of equipment for gister and is the twin tips key. a popular choice of equipment for this terrain is the twin tipsy. a popular choice of equipment for grister and is the twin tips key.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a popular choice of equipment for this terrain is the twin tips key', 'a popular choice of equipment for this terrain is the twin tips key', 'a popular choice of equipment for gister and is the twin tips key', 'a popular choice of equipment for this terrain is the twin tipsy', 'a popular choice of equipment for grister and is the twin tips key']
|
|
[
"however this rule was rarely enforced",
"however this rule was rarely enforced",
"however this rule was rarely enforced",
"however this rule was rarely enforced",
"however this rule was rarely enforced"
] |
however this rule was rarely enforced
|
however this rule was rarely enforced.
|
however this rule was rarely enforced. however this rule was rarely enforced. however this rule was rarely enforced. however this rule was rarely enforced.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however this rule was rarely enforced', 'however this rule was rarely enforced', 'however this rule was rarely enforced', 'however this rule was rarely enforced', 'however this rule was rarely enforced']
|
|
[
"microsoft studios content seven game studios world eye",
"microsoft studios contents seven game studios world eye",
"microsoft studios content seven games studios world eye",
"microsoft studios content seven game studios world eye",
"microsoft studio is content seven game studios world eye"
] |
microsoft studios contains seven game studios worldwide
|
microsoft studios content seven game studios world eye.
|
microsoft studios contents seven game studios world eye. microsoft studios content seven games studios world eye. microsoft studios content seven game studios world eye. microsoft studio is content seven game studios world eye.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['microsoft studios content seven game studios world eye', 'microsoft studios contents seven game studios world eye', 'microsoft studios content seven games studios world eye', 'microsoft studios content seven game studios world eye', 'microsoft studio is content seven game studios world eye']
|
|
[
"he is revealed as the king",
"he is revealed as the king",
"he is revealed as the king",
"he is revealed as the king",
"he is revealed as the king"
] |
he is revealed as the king
|
he is revealed as the king.
|
he is revealed as the king. he is revealed as the king. he is revealed as the king. he is revealed as the king.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is revealed as the king', 'he is revealed as the king', 'he is revealed as the king', 'he is revealed as the king', 'he is revealed as the king']
|
|
[
"it issued a rate for $forty-two a car on charcoal",
"it issued a rate of $forty-two a car on charcoal",
"it is issued a rate for $forty-two a car on charcoal",
"it issued a rate for $forty-two a car on charcoal",
"it issued a rate for $forty-two as a car on charcoal"
] |
it issued a rate of forty two dollars a car on charcoal
|
it issued a rate for $forty-two a car on charcoal.
|
it issued a rate of $forty-two a car on charcoal. it is issued a rate for $forty-two a car on charcoal. it issued a rate for $forty-two a car on charcoal. it issued a rate for $forty-two as a car on charcoal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it issued a rate for $forty-two a car on charcoal', 'it issued a rate of $forty-two a car on charcoal', 'it is issued a rate for $forty-two a car on charcoal', 'it issued a rate for $forty-two a car on charcoal', 'it issued a rate for $forty-two as a car on charcoal']
|
|
[
"the district is headquarters are located in the time life building in the streetable neighborhood",
"the district is headquarters are located in the time life building and the street will neighborhood",
"the district is headquarters are located in the time life building and the street will never hurt",
"the district is headquarters are located in the time life building and the street will neighborhood",
"the district is headquarters are located in the time life building and the street will neighborhood"
] |
the district is headquarters are located in the time life building in the streeterville neighborhood
|
the district is headquarters are located in the time life building in the streetable neighborhood.
|
the district is headquarters are located in the time life building and the street will neighborhood. the district is headquarters are located in the time life building and the street will never hurt. the district is headquarters are located in the time life building and the street will neighborhood. the district is headquarters are located in the time life building and the street will neighborhood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the district is headquarters are located in the time life building in the streetable neighborhood', 'the district is headquarters are located in the time life building and the street will neighborhood', 'the district is headquarters are located in the time life building and the street will never hurt', 'the district is headquarters are located in the time life building and the street will neighborhood', 'the district is headquarters are located in the time life building and the street will neighborhood']
|
|
[
"the city has a university and a college of international trade and finance",
"the city has a university and a college of international trade and finance",
"the city has a university and a college of international trade and finance",
"the city has a university and a college of international trade and finance",
"the city has a university and a college of international trade and finance"
] |
the city has a university and a college of international trade and finance
|
the city has a university and a college of international trade and finance.
|
the city has a university and a college of international trade and finance. the city has a university and a college of international trade and finance. the city has a university and a college of international trade and finance. the city has a university and a college of international trade and finance.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city has a university and a college of international trade and finance', 'the city has a university and a college of international trade and finance', 'the city has a university and a college of international trade and finance', 'the city has a university and a college of international trade and finance', 'the city has a university and a college of international trade and finance']
|
|
[
"fisher is passion for music works always much by the slow of languages",
"fisher is passion for music works always match by the slow of languages",
"fisher is passion for music works always much but is low off languages",
"fisher is passion for music works always match bodies low off languages",
"fisher is passion for music works always much by its low off languages"
] |
fischer is passion for music was always matched by his love of languages
|
fisher is passion for music works always much by the slow of languages.
|
fisher is passion for music works always match by the slow of languages. fisher is passion for music works always much but is low off languages. fisher is passion for music works always match bodies low off languages. fisher is passion for music works always much by its low off languages.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fisher is passion for music works always much by the slow of languages', 'fisher is passion for music works always match by the slow of languages', 'fisher is passion for music works always much but is low off languages', 'fisher is passion for music works always match bodies low off languages', 'fisher is passion for music works always much by its low off languages']
|
|
[
"these performances are now an annual feature in pyongyang usually in august and september",
"these performances are now an annual feature in pyongyang usually in august and september",
"these performances are now an annual feature in pyongyang usually in august and september",
"these performances are now an annual feature in pyongyang usually in august and september",
"these performances are now an annual feature in pyongyang usually in august and september"
] |
these performances are now an annual feature in pyongyang usually in august and september
|
these performances are now an annual feature in pyongyang usually in august and september.
|
these performances are now an annual feature in pyongyang usually in august and september. these performances are now an annual feature in pyongyang usually in august and september. these performances are now an annual feature in pyongyang usually in august and september. these performances are now an annual feature in pyongyang usually in august and september.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these performances are now an annual feature in pyongyang usually in august and september', 'these performances are now an annual feature in pyongyang usually in august and september', 'these performances are now an annual feature in pyongyang usually in august and september', 'these performances are now an annual feature in pyongyang usually in august and september', 'these performances are now an annual feature in pyongyang usually in august and september']
|
|
[
"let us see that notable post student section for soxasville plays",
"it is clear that notable post student section for soxasville plays",
"it is a plea that notable post students section for socks as well plays",
"to see that notable post student section for soxasville plays",
"it is a plea that notable post student section for socks as well plays"
] |
see the notable past students section for successful players
|
let us see that notable post student section for soxasville plays.
|
it is clear that notable post student section for soxasville plays. it is a plea that notable post students section for socks as well plays. to see that notable post student section for soxasville plays. it is a plea that notable post student section for socks as well plays.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['let us see that notable post student section for soxasville plays', 'it is clear that notable post student section for soxasville plays', 'it is a plea that notable post students section for socks as well plays', 'to see that notable post student section for soxasville plays', 'it is a plea that notable post student section for socks as well plays']
|
|
[
"people are skiing down a snow covered hill",
"people are skiing down at snowcub at hill",
"people are skiing down a snow covered hill",
"people are skiing down at snow cabot hill",
"people are skiing down at snow covered hill"
] |
people are skiing down a snow covered hill
|
people are skiing down a snow covered hill.
|
people are skiing down at snowcub at hill. people are skiing down a snow covered hill. people are skiing down at snow cabot hill. people are skiing down at snow covered hill.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['people are skiing down a snow covered hill', 'people are skiing down at snowcub at hill', 'people are skiing down a snow covered hill', 'people are skiing down at snow cabot hill', 'people are skiing down at snow covered hill']
|
|
[
"for information on winning strategy see the schnapsun blog and winning schnapsun",
"for information on winning strategy see the schnapsen blog and winning schnapsen",
"for information on winning strategy see the schnapsun blog and winning schnapsun",
"for information on winning strategy see the schnapsun blog and winning schnapsun",
"for information on winning strategy see the schnapsen blog and winning schnapsen"
] |
for information on winning strategy see the schnapsen log and winning schnapsen
|
for information on winning strategy see the schnapsun blog and winning schnapsun.
|
for information on winning strategy see the schnapsen blog and winning schnapsen. for information on winning strategy see the schnapsun blog and winning schnapsun. for information on winning strategy see the schnapsun blog and winning schnapsun. for information on winning strategy see the schnapsen blog and winning schnapsen.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for information on winning strategy see the schnapsun blog and winning schnapsun', 'for information on winning strategy see the schnapsen blog and winning schnapsen', 'for information on winning strategy see the schnapsun blog and winning schnapsun', 'for information on winning strategy see the schnapsun blog and winning schnapsun', 'for information on winning strategy see the schnapsen blog and winning schnapsen']
|
|
[
"nearly all of the company is operations are focused on the indonesian market",
"nearly all of the company is operations are focused on the indonesia market",
"nearly all of the companies operations are focused on the indonesian market",
"nearly all the company is operations are focused on the indonesian market",
"nearly all the company is operations are focused on the indonesian market"
] |
nearly all of the company is operations are focused on the indonesian market
|
nearly all of the company is operations are focused on the indonesian market.
|
nearly all of the company is operations are focused on the indonesia market. nearly all of the companies operations are focused on the indonesian market. nearly all the company is operations are focused on the indonesian market. nearly all the company is operations are focused on the indonesian market.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nearly all of the company is operations are focused on the indonesian market', 'nearly all of the company is operations are focused on the indonesia market', 'nearly all of the companies operations are focused on the indonesian market', 'nearly all the company is operations are focused on the indonesian market', 'nearly all the company is operations are focused on the indonesian market']
|
|
[
"earlier it reported postmark on stamped envelopes",
"earlier she reported postmark on stamped envelopes",
"earlier is reported postmark on stamped envelopes",
"earlier a reported postmark on stamped envelopes",
"the earliest reported postmark on stamped envelopes"
] |
earliest reported postmark on stamped envelopes
|
earlier it reported postmark on stamped envelopes.
|
earlier she reported postmark on stamped envelopes. earlier is reported postmark on stamped envelopes. earlier a reported postmark on stamped envelopes. the earliest reported postmark on stamped envelopes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['earlier it reported postmark on stamped envelopes', 'earlier she reported postmark on stamped envelopes', 'earlier is reported postmark on stamped envelopes', 'earlier a reported postmark on stamped envelopes', 'the earliest reported postmark on stamped envelopes']
|
|
[
"inactivity is one of the biggest reasons for basing children",
"inactivity is one of the biggest reasons for basic children",
"inactivity is one of the biggest reasons for basically children",
"inactivity is one of the biggest reasons for basting children",
"inactivity is one of the biggest reasons for basering children"
] |
inactivity is one of the biggest reasons for obesity in children
|
inactivity is one of the biggest reasons for basing children.
|
inactivity is one of the biggest reasons for basic children. inactivity is one of the biggest reasons for basically children. inactivity is one of the biggest reasons for basting children. inactivity is one of the biggest reasons for basering children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['inactivity is one of the biggest reasons for basing children', 'inactivity is one of the biggest reasons for basic children', 'inactivity is one of the biggest reasons for basically children', 'inactivity is one of the biggest reasons for basting children', 'inactivity is one of the biggest reasons for basering children']
|
|
[
"she studied law at the university of oslo",
"she started law at the university of oslo",
"she started law at the university of oslo",
"she started law at the university of oslo",
"she started law at the university of oslo"
] |
she studied law at the university of oslo
|
she studied law at the university of oslo.
|
she started law at the university of oslo. she started law at the university of oslo. she started law at the university of oslo. she started law at the university of oslo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she studied law at the university of oslo', 'she started law at the university of oslo', 'she started law at the university of oslo', 'she started law at the university of oslo', 'she started law at the university of oslo']
|
|
[
"khalid has two brothers already under investigation for arrest terrorism related matters",
"khaled has two brothers already under investigation for arrest terrorism related matters",
"khalid has two brothers already under investigation for all his terrorism related matters",
"khalid has two brothers already under investigation for irish terrorism related matters",
"khalid has two brothers already under investigation for arrest or recent related matters"
] |
khalid has two brothers already under investigation for alleged terrorism related matters
|
khalid has two brothers already under investigation for arrest terrorism related matters.
|
khaled has two brothers already under investigation for arrest terrorism related matters. khalid has two brothers already under investigation for all his terrorism related matters. khalid has two brothers already under investigation for irish terrorism related matters. khalid has two brothers already under investigation for arrest or recent related matters.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['khalid has two brothers already under investigation for arrest terrorism related matters', 'khaled has two brothers already under investigation for arrest terrorism related matters', 'khalid has two brothers already under investigation for all his terrorism related matters', 'khalid has two brothers already under investigation for irish terrorism related matters', 'khalid has two brothers already under investigation for arrest or recent related matters']
|
|
[
"the lift travels at full half or quarter speed depending on wind conditions",
"the lift travels at full half or quarter speed depending on wind conditions",
"the lift travels at full half or quarter speed depending on wind conditions",
"the lift travels at full half or quarter speed depending on wind conditions",
"the lift travels at full half or quarter speed depending on wind conditions"
] |
the lifts travel at full half or quarter speed depending on wind conditions
|
the lift travels at full half or quarter speed depending on wind conditions.
|
the lift travels at full half or quarter speed depending on wind conditions. the lift travels at full half or quarter speed depending on wind conditions. the lift travels at full half or quarter speed depending on wind conditions. the lift travels at full half or quarter speed depending on wind conditions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the lift travels at full half or quarter speed depending on wind conditions', 'the lift travels at full half or quarter speed depending on wind conditions', 'the lift travels at full half or quarter speed depending on wind conditions', 'the lift travels at full half or quarter speed depending on wind conditions', 'the lift travels at full half or quarter speed depending on wind conditions']
|
|
[
"one of the houses built there is grand pond house named after the neighborhood",
"one of the houses built there is grand pond house named after the neighborhood",
"one of the houses built there is grand bond house named after the neighborhood",
"one of the houses built there is grand bont house named after the neighborhood",
"one of the houses built there is grand fond house named after the neighborhood"
] |
one of the houses built there is grandpont house named after the neighborhood
|
one of the houses built there is grand pond house named after the neighborhood.
|
one of the houses built there is grand pond house named after the neighborhood. one of the houses built there is grand bond house named after the neighborhood. one of the houses built there is grand bont house named after the neighborhood. one of the houses built there is grand fond house named after the neighborhood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one of the houses built there is grand pond house named after the neighborhood', 'one of the houses built there is grand pond house named after the neighborhood', 'one of the houses built there is grand bond house named after the neighborhood', 'one of the houses built there is grand bont house named after the neighborhood', 'one of the houses built there is grand fond house named after the neighborhood']
|
|
[
"beloved partner to nicola",
"beloved partner to nicola",
"beloved partner to nicola",
"beloved partner to nicola",
"beloved partner to nikola"
] |
beloved partner to nicola
|
beloved partner to nicola.
|
beloved partner to nicola. beloved partner to nicola. beloved partner to nicola. beloved partner to nikola.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['beloved partner to nicola', 'beloved partner to nicola', 'beloved partner to nicola', 'beloved partner to nicola', 'beloved partner to nikola']
|
|
[
"it enters the atlantic from just on the capital city of guyana",
"it enters the atlantic from just on the capital city of guiana",
"it enters the atlantic from georgetown the capital city of guiana",
"it enters the atlantic from georgetown the capital city of guyana",
"it enters the atlantic from just on the capital city of guayana"
] |
it enters the atlantic from georgetown the capital city of guyana
|
it enters the atlantic from just on the capital city of guyana.
|
it enters the atlantic from just on the capital city of guiana. it enters the atlantic from georgetown the capital city of guiana. it enters the atlantic from georgetown the capital city of guyana. it enters the atlantic from just on the capital city of guayana.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it enters the atlantic from just on the capital city of guyana', 'it enters the atlantic from just on the capital city of guiana', 'it enters the atlantic from georgetown the capital city of guiana', 'it enters the atlantic from georgetown the capital city of guyana', 'it enters the atlantic from just on the capital city of guayana']
|
|
[
"what happened that a ball",
"what happened then a ball",
"what happened there a ball",
"what happened that apollo",
"what happened then apollo"
] |
what happens then a ball
|
what happened that a ball.
|
what happened then a ball. what happened there a ball. what happened that apollo. what happened then apollo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['what happened that a ball', 'what happened then a ball', 'what happened there a ball', 'what happened that apollo', 'what happened then apollo']
|
|
[
"this can be foiled by not permitting an email program to load images",
"this can be foiled by not permitting an e mail program to load images",
"this can be foiled by not permitting an email program to load images",
"this can be foiled by not permitting an email program to load images",
"this can be foiled by not permitting an email program to load images"
] |
this can be foiled by not permitting an email program to load images
|
this can be foiled by not permitting an email program to load images.
|
this can be foiled by not permitting an e mail program to load images. this can be foiled by not permitting an email program to load images. this can be foiled by not permitting an email program to load images. this can be foiled by not permitting an email program to load images.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this can be foiled by not permitting an email program to load images', 'this can be foiled by not permitting an e mail program to load images', 'this can be foiled by not permitting an email program to load images', 'this can be foiled by not permitting an email program to load images', 'this can be foiled by not permitting an email program to load images']
|
|
[
"it is also the name of a more whisky distillery located there",
"it is also the name of a more whiskey distillery located there",
"it is also the name of a more whiskey distillery located there",
"it is also the name of a more whisky distillery located there",
"it is also the name of a more whisky discovery located there"
] |
it is also the name of a malt whisky distillery located there
|
it is also the name of a more whisky distillery located there.
|
it is also the name of a more whiskey distillery located there. it is also the name of a more whiskey distillery located there. it is also the name of a more whisky distillery located there. it is also the name of a more whisky discovery located there.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also the name of a more whisky distillery located there', 'it is also the name of a more whiskey distillery located there', 'it is also the name of a more whiskey distillery located there', 'it is also the name of a more whisky distillery located there', 'it is also the name of a more whisky discovery located there']
|
|
[
"he also attended the university of berlin",
"he also attended the university of berlin",
"he has also attended the university of berlin",
"he also attended the university of berlin",
"he also attended the university of berlin"
] |
he also attended the university of berlin
|
he also attended the university of berlin.
|
he also attended the university of berlin. he has also attended the university of berlin. he also attended the university of berlin. he also attended the university of berlin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also attended the university of berlin', 'he also attended the university of berlin', 'he has also attended the university of berlin', 'he also attended the university of berlin', 'he also attended the university of berlin']
|
|
[
"they released her and she reviewed savannah did this",
"they released her and she revealed savannah did this",
"they released her and she reviewed savannah dittis",
"they released her and she reviewed sabana did this",
"they release her and she reviews sabana did this"
] |
they release her and she reveals sivana did this
|
they released her and she reviewed savannah did this.
|
they released her and she revealed savannah did this. they released her and she reviewed savannah dittis. they released her and she reviewed sabana did this. they release her and she reviews sabana did this.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they released her and she reviewed savannah did this', 'they released her and she revealed savannah did this', 'they released her and she reviewed savannah dittis', 'they released her and she reviewed sabana did this', 'they release her and she reviews sabana did this']
|
|
[
"it just is not done old boy",
"it just is not done old boy",
"it just is not done old boy",
"it just is not done old boy",
"it just is not done old boy"
] |
it just is not done old boy
|
it just is not done old boy.
|
it just is not done old boy. it just is not done old boy. it just is not done old boy. it just is not done old boy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it just is not done old boy', 'it just is not done old boy', 'it just is not done old boy', 'it just is not done old boy', 'it just is not done old boy']
|
|
[
"he is a champion jump rope skipper",
"he is a champion jump rope skipper",
"he is a champion jump rop skipper",
"he is a champion jump from skipper",
"he is a champion jump rope skipper"
] |
he is a champion jump rope skipper
|
he is a champion jump rope skipper.
|
he is a champion jump rope skipper. he is a champion jump rop skipper. he is a champion jump from skipper. he is a champion jump rope skipper.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is a champion jump rope skipper', 'he is a champion jump rope skipper', 'he is a champion jump rop skipper', 'he is a champion jump from skipper', 'he is a champion jump rope skipper']
|
|
[
"just before the pups are wheeled a new mating cycle takes place",
"just before the pups are reeled a new mating cycle takes place",
"just before the pups are wheeled and your mating cycle takes place",
"just before the pups are healed a new mating cycle takes place",
"just before the pups are reeled and your mating cycle takes place"
] |
just before the pups are weaned a new mating cycle takes place
|
just before the pups are wheeled a new mating cycle takes place.
|
just before the pups are reeled a new mating cycle takes place. just before the pups are wheeled and your mating cycle takes place. just before the pups are healed a new mating cycle takes place. just before the pups are reeled and your mating cycle takes place.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['just before the pups are wheeled a new mating cycle takes place', 'just before the pups are reeled a new mating cycle takes place', 'just before the pups are wheeled and your mating cycle takes place', 'just before the pups are healed a new mating cycle takes place', 'just before the pups are reeled and your mating cycle takes place']
|
|
[
"the trial rises and falls dramatically",
"the trial rises and falls dramatically",
"the trial raises and falls dramatically",
"the trial rises and falls dramatically",
"the trial rises and falls dramatically"
] |
the trail rises and falls dramatically
|
the trial rises and falls dramatically.
|
the trial rises and falls dramatically. the trial raises and falls dramatically. the trial rises and falls dramatically. the trial rises and falls dramatically.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the trial rises and falls dramatically', 'the trial rises and falls dramatically', 'the trial raises and falls dramatically', 'the trial rises and falls dramatically', 'the trial rises and falls dramatically']
|
|
[
"chart information courtesy of whole music and other music databases",
"chart information courtesy of whole music and other music databases",
"chat information courtesy of whole music and other music databases",
"chat information courtesy of whole music and other music databases",
"chart information courtesy of whole music and other music databases"
] |
chart information courtesy of allmusic and other music databases
|
chart information courtesy of whole music and other music databases.
|
chart information courtesy of whole music and other music databases. chat information courtesy of whole music and other music databases. chat information courtesy of whole music and other music databases. chart information courtesy of whole music and other music databases.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['chart information courtesy of whole music and other music databases', 'chart information courtesy of whole music and other music databases', 'chat information courtesy of whole music and other music databases', 'chat information courtesy of whole music and other music databases', 'chart information courtesy of whole music and other music databases']
|
|
[
"this has explained in more detail below",
"this is explained in more detail below",
"this is explained in more detail below",
"this is explained in more detail below",
"this is explained in more detail below"
] |
this is explained in more detail below
|
this has explained in more detail below.
|
this is explained in more detail below. this is explained in more detail below. this is explained in more detail below. this is explained in more detail below.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this has explained in more detail below', 'this is explained in more detail below', 'this is explained in more detail below', 'this is explained in more detail below', 'this is explained in more detail below']
|
|
[
"i was rewarded with an idea",
"i was awarded with an idea",
"i was divided with an idea",
"i was devoted with an idea",
"i was rewarded with an idea"
] |
i was rewarded with an idea
|
i was rewarded with an idea.
|
i was awarded with an idea. i was divided with an idea. i was devoted with an idea. i was rewarded with an idea.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i was rewarded with an idea', 'i was awarded with an idea', 'i was divided with an idea', 'i was devoted with an idea', 'i was rewarded with an idea']
|
|
[
"hopeville was the site of a frog war with the national railway",
"hopeville was the site of a frog war with the national railway",
"hopeville was the site of a frogwar with the national railway",
"hope will was the site of a frog war with the national railway",
"hopeville was the site of a frog war with the national railway"
] |
hopewell was the site of a frog war with the national railway
|
hopeville was the site of a frog war with the national railway.
|
hopeville was the site of a frog war with the national railway. hopeville was the site of a frogwar with the national railway. hope will was the site of a frog war with the national railway. hopeville was the site of a frog war with the national railway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hopeville was the site of a frog war with the national railway', 'hopeville was the site of a frog war with the national railway', 'hopeville was the site of a frogwar with the national railway', 'hope will was the site of a frog war with the national railway', 'hopeville was the site of a frog war with the national railway']
|
|
[
"circs legs and typical u shaped valleys were formed by the glaciers",
"circs legs and typical u shaped valleys were formed by the glaciers",
"circs legs and typical u shaped valleys were formed by the glaciers",
"sirks legs and typical u shaped valleys were formed by the glaciers",
"circs legs and typical u shaped valleys were formed by the glaciers"
] |
cirques lakes and typical u shaped valleys were formed by the glaciers
|
circs legs and typical u shaped valleys were formed by the glaciers.
|
circs legs and typical u shaped valleys were formed by the glaciers. circs legs and typical u shaped valleys were formed by the glaciers. sirks legs and typical u shaped valleys were formed by the glaciers. circs legs and typical u shaped valleys were formed by the glaciers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['circs legs and typical u shaped valleys were formed by the glaciers', 'circs legs and typical u shaped valleys were formed by the glaciers', 'circs legs and typical u shaped valleys were formed by the glaciers', 'sirks legs and typical u shaped valleys were formed by the glaciers', 'circs legs and typical u shaped valleys were formed by the glaciers']
|
|
[
"so forget and forgive all around george",
"so forget and forgive all round george",
"so forget and forgive all around george",
"so forget and forgive all our george",
"so forget and forgive all round george"
] |
so forget and forgive all round george
|
so forget and forgive all around george.
|
so forget and forgive all round george. so forget and forgive all around george. so forget and forgive all our george. so forget and forgive all round george.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so forget and forgive all around george', 'so forget and forgive all round george', 'so forget and forgive all around george', 'so forget and forgive all our george', 'so forget and forgive all round george']
|
|
[
"variants of the coc are used in other proof assistants such as matita",
"variants of the coc are used in other proof assistance such as matita",
"variants of the coc are used in other proof assistants such as matita",
"variants of the coc are used in other proof assistance such as machita",
"variants of the coc are used in other proof assistants such as machita"
] |
variants of the coc are used in other proof assistants such as matita
|
variants of the coc are used in other proof assistants such as matita.
|
variants of the coc are used in other proof assistance such as matita. variants of the coc are used in other proof assistants such as matita. variants of the coc are used in other proof assistance such as machita. variants of the coc are used in other proof assistants such as machita.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['variants of the coc are used in other proof assistants such as matita', 'variants of the coc are used in other proof assistance such as matita', 'variants of the coc are used in other proof assistants such as matita', 'variants of the coc are used in other proof assistance such as machita', 'variants of the coc are used in other proof assistants such as machita']
|
|
[
"yeah the skater is jumping in the air over some stairs at night",
"the skater is jumping in the air over some stairs at night",
"and the skater is jumping in the air over some stairs at night",
"yeah and skater is jumping in the air over some stairs at night",
"yeah and skater is jumping in the air over some stairs at night"
] |
a skater is jumping in the air over some stairs at night
|
yeah the skater is jumping in the air over some stairs at night.
|
the skater is jumping in the air over some stairs at night. and the skater is jumping in the air over some stairs at night. yeah and skater is jumping in the air over some stairs at night. yeah and skater is jumping in the air over some stairs at night.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['yeah the skater is jumping in the air over some stairs at night', 'the skater is jumping in the air over some stairs at night', 'and the skater is jumping in the air over some stairs at night', 'yeah and skater is jumping in the air over some stairs at night', 'yeah and skater is jumping in the air over some stairs at night']
|
|
[
"he ruled moderately and was considered better than his brothers before him",
"he ruled modrically and was considered better than his brothers before him",
"he ruled modrically and was considered better than his brothers before him",
"he ruled modrically and was considered better than his brothers before him",
"he ruled modrically and was considered better than his brothers before him"
] |
he ruled moderately and was considered better than his brothers before him
|
he ruled moderately and was considered better than his brothers before him.
|
he ruled modrically and was considered better than his brothers before him. he ruled modrically and was considered better than his brothers before him. he ruled modrically and was considered better than his brothers before him. he ruled modrically and was considered better than his brothers before him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he ruled moderately and was considered better than his brothers before him', 'he ruled modrically and was considered better than his brothers before him', 'he ruled modrically and was considered better than his brothers before him', 'he ruled modrically and was considered better than his brothers before him', 'he ruled modrically and was considered better than his brothers before him']
|
|
[
"the main station building is award winning two rooms",
"the main station building is award winning two rooms",
"the main station building is award winning two rooms",
"the land station building is award winning two rooms",
"the land station building is award winning two rooms"
] |
the main station building is the award winning tea rooms
|
the main station building is award winning two rooms.
|
the main station building is award winning two rooms. the main station building is award winning two rooms. the land station building is award winning two rooms. the land station building is award winning two rooms.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main station building is award winning two rooms', 'the main station building is award winning two rooms', 'the main station building is award winning two rooms', 'the land station building is award winning two rooms', 'the land station building is award winning two rooms']
|
|
[
"the bird can also be found more rarely in urban areas",
"the bird can also be found more rarely in urban areas",
"the bird can also be found more rarely in urban areas",
"the bird can also be found more rarely in urban areas",
"the bird can also be found more rarely in urban areas"
] |
the bird can also be found more rarely in urban areas
|
the bird can also be found more rarely in urban areas.
|
the bird can also be found more rarely in urban areas. the bird can also be found more rarely in urban areas. the bird can also be found more rarely in urban areas. the bird can also be found more rarely in urban areas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bird can also be found more rarely in urban areas', 'the bird can also be found more rarely in urban areas', 'the bird can also be found more rarely in urban areas', 'the bird can also be found more rarely in urban areas', 'the bird can also be found more rarely in urban areas']
|
|
[
"however whether roosevelt speech writer samuel rosenman saw the magazine is not clear",
"however whether roosevelt is speech writer samuel rosenman saw the magazine is not clear",
"however where the roosevelt speech writer samuel rosenman saw the magazine is not clear",
"however whether roosevelt speech writer samuel rosenman saw the magazine is not clear",
"however whether roosevelt speech writer samuel rosenman saw the magazine is not clear"
] |
however whether roosevelt speechwriter samuel rosenman saw the magazine is not clear
|
however whether roosevelt speech writer samuel rosenman saw the magazine is not clear.
|
however whether roosevelt is speech writer samuel rosenman saw the magazine is not clear. however where the roosevelt speech writer samuel rosenman saw the magazine is not clear. however whether roosevelt speech writer samuel rosenman saw the magazine is not clear. however whether roosevelt speech writer samuel rosenman saw the magazine is not clear.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however whether roosevelt speech writer samuel rosenman saw the magazine is not clear', 'however whether roosevelt is speech writer samuel rosenman saw the magazine is not clear', 'however where the roosevelt speech writer samuel rosenman saw the magazine is not clear', 'however whether roosevelt speech writer samuel rosenman saw the magazine is not clear', 'however whether roosevelt speech writer samuel rosenman saw the magazine is not clear']
|
|
[
"the binding blade would have a profound effect on subsequent entries in the series",
"the binding bleed would have a profound effect on subsequent entries in the series",
"the binding blade would have a profound effect on the subsequent entries in the series",
"the binding blade would have a profound effect on subsequent entries in the series",
"the binding blade would have a profound effect on the subsequent entries in the series"
] |
the binding blade would have a profound effect upon subsequent entries in the series
|
the binding blade would have a profound effect on subsequent entries in the series.
|
the binding bleed would have a profound effect on subsequent entries in the series. the binding blade would have a profound effect on the subsequent entries in the series. the binding blade would have a profound effect on subsequent entries in the series. the binding blade would have a profound effect on the subsequent entries in the series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the binding blade would have a profound effect on subsequent entries in the series', 'the binding bleed would have a profound effect on subsequent entries in the series', 'the binding blade would have a profound effect on the subsequent entries in the series', 'the binding blade would have a profound effect on subsequent entries in the series', 'the binding blade would have a profound effect on the subsequent entries in the series']
|
|
[
"those constructions have also the advantage to be more economical than little buildings",
"those constructions have also the advantage to be more economical than the little buildings",
"those constructions have also the advantage to be more economical than the little buildings",
"those constructions have also the advantage to be more economical than little buildings",
"those constructions have also the advantage to be more economical than little buildings"
] |
those constructions have also the advantage to be more economical than little buildings
|
those constructions have also the advantage to be more economical than little buildings.
|
those constructions have also the advantage to be more economical than the little buildings. those constructions have also the advantage to be more economical than the little buildings. those constructions have also the advantage to be more economical than little buildings. those constructions have also the advantage to be more economical than little buildings.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['those constructions have also the advantage to be more economical than little buildings', 'those constructions have also the advantage to be more economical than the little buildings', 'those constructions have also the advantage to be more economical than the little buildings', 'those constructions have also the advantage to be more economical than little buildings', 'those constructions have also the advantage to be more economical than little buildings']
|
|
[
"further units were raised to replace those stranded in west pakistan",
"further units were risked to replace those stranded in west pakistan",
"for the units were raised to replace those stranded in west pakistan",
"further units were raised to replace those stranded in west pakistan",
"further units were raised to replace those stranded in west pakistan"
] |
further units were raised to replace those stranded in west pakistan
|
further units were raised to replace those stranded in west pakistan.
|
further units were risked to replace those stranded in west pakistan. for the units were raised to replace those stranded in west pakistan. further units were raised to replace those stranded in west pakistan. further units were raised to replace those stranded in west pakistan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['further units were raised to replace those stranded in west pakistan', 'further units were risked to replace those stranded in west pakistan', 'for the units were raised to replace those stranded in west pakistan', 'further units were raised to replace those stranded in west pakistan', 'further units were raised to replace those stranded in west pakistan']
|
|
[
"they were bullet trained and were little",
"they were bullet trained and were let up",
"they were bullet trained and were lethal",
"they were bullet trained and well ethyp",
"they were bullet trained and well it took"
] |
they were fully trained and well equipped
|
they were bullet trained and were little.
|
they were bullet trained and were let up. they were bullet trained and were lethal. they were bullet trained and well ethyp. they were bullet trained and well it took.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they were bullet trained and were little', 'they were bullet trained and were let up', 'they were bullet trained and were lethal', 'they were bullet trained and well ethyp', 'they were bullet trained and well it took']
|
|
[
"for smith was also notable as a major stop along the trail of tears",
"fosmith was also notable as a major stop along the trail of tears",
"for smith was also notable as a major stop along the trail of tears",
"for smith was also notable as a major stop along the trail of tears",
"for smith was also notable as a major stop along the trail of tears"
] |
fort smith was also notable as a major stop along the trail of tears
|
for smith was also notable as a major stop along the trail of tears.
|
fosmith was also notable as a major stop along the trail of tears. for smith was also notable as a major stop along the trail of tears. for smith was also notable as a major stop along the trail of tears. for smith was also notable as a major stop along the trail of tears.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for smith was also notable as a major stop along the trail of tears', 'fosmith was also notable as a major stop along the trail of tears', 'for smith was also notable as a major stop along the trail of tears', 'for smith was also notable as a major stop along the trail of tears', 'for smith was also notable as a major stop along the trail of tears']
|
|
[
"tokeh bayet the upper ruin section of the town is almost certainly the oldest",
"takabayat the upper ruin section of the town is almost certainly the oldest",
"tokeha bayet the upper ruin section of the town is almost certainly the oldest",
"togha bayet the upper ruin section of the town is almost certainly the oldest",
"tokeh bayet the upper ruined section of the town is almost certainly the oldest"
] |
tegherbeyat the upper ruined section of the town is almost certainly the oldest
|
tokeh bayet the upper ruin section of the town is almost certainly the oldest.
|
takabayat the upper ruin section of the town is almost certainly the oldest. tokeha bayet the upper ruin section of the town is almost certainly the oldest. togha bayet the upper ruin section of the town is almost certainly the oldest. tokeh bayet the upper ruined section of the town is almost certainly the oldest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tokeh bayet the upper ruin section of the town is almost certainly the oldest', 'takabayat the upper ruin section of the town is almost certainly the oldest', 'tokeha bayet the upper ruin section of the town is almost certainly the oldest', 'togha bayet the upper ruin section of the town is almost certainly the oldest', 'tokeh bayet the upper ruined section of the town is almost certainly the oldest']
|
|
[
"subjects with several figures ranked higher than single figures",
"subjects with several figures ranked higher than single figures",
"subjects with several figures ranked higher than single figures",
"subjects with several figures ranked higher than single figures",
"subjects with several figures ranked higher than single figures"
] |
subjects with several figures ranked higher than single figures
|
subjects with several figures ranked higher than single figures.
|
subjects with several figures ranked higher than single figures. subjects with several figures ranked higher than single figures. subjects with several figures ranked higher than single figures. subjects with several figures ranked higher than single figures.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['subjects with several figures ranked higher than single figures', 'subjects with several figures ranked higher than single figures', 'subjects with several figures ranked higher than single figures', 'subjects with several figures ranked higher than single figures', 'subjects with several figures ranked higher than single figures']
|
|
[
"its county seat is boy is city",
"its county seat is boys city",
"it is county seat is boys city",
"it is county seat is boy is city",
"its county seat is boy is city"
] |
its county seat is boise city
|
its county seat is boy is city.
|
its county seat is boys city. it is county seat is boys city. it is county seat is boy is city. its county seat is boy is city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its county seat is boy is city', 'its county seat is boys city', 'it is county seat is boys city', 'it is county seat is boy is city', 'its county seat is boy is city']
|
|
[
"mcmillan was born in springs south africa",
"mcmillan was born in springs south africa",
"mcmillan was born in springs south africa",
"mcmillan was born in springs south africa",
"mcmillan was born in springs south africa"
] |
mcmillan was born in springs south africa
|
mcmillan was born in springs south africa.
|
mcmillan was born in springs south africa. mcmillan was born in springs south africa. mcmillan was born in springs south africa. mcmillan was born in springs south africa.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mcmillan was born in springs south africa', 'mcmillan was born in springs south africa', 'mcmillan was born in springs south africa', 'mcmillan was born in springs south africa', 'mcmillan was born in springs south africa']
|
|
[
"it has a lot of drawing eyes",
"it has law droned eyes",
"it has long drawn eyes",
"it has lodron gyes",
"it has a lot of drawing eyes"
] |
it has large orange eyes
|
it has a lot of drawing eyes.
|
it has law droned eyes. it has long drawn eyes. it has lodron gyes. it has a lot of drawing eyes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has a lot of drawing eyes', 'it has law droned eyes', 'it has long drawn eyes', 'it has lodron gyes', 'it has a lot of drawing eyes']
|
|
[
"a guy standing high up against the side of a building",
"the guy standing high up against the side of the building",
"the guy standing high up against the side of a building",
"a guy standing high up against the side of the building",
"the guy standing high up again to the side of the building"
] |
a guy is standing high up against the side of a building
|
a guy standing high up against the side of a building.
|
the guy standing high up against the side of the building. the guy standing high up against the side of a building. a guy standing high up against the side of the building. the guy standing high up again to the side of the building.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a guy standing high up against the side of a building', 'the guy standing high up against the side of the building', 'the guy standing high up against the side of a building', 'a guy standing high up against the side of the building', 'the guy standing high up again to the side of the building']
|
|
[
"he is the equivalent of joe game in christian tradition",
"he is the equivalent of joe game and christian tradition",
"he is the equivalent of joe game and christian tradition",
"he is the equivalent of joe game in christian tradition",
"he is the equivalent of joe kim in christian tradition"
] |
he is the equivalent of joachim in christian tradition
|
he is the equivalent of joe game in christian tradition.
|
he is the equivalent of joe game and christian tradition. he is the equivalent of joe game and christian tradition. he is the equivalent of joe game in christian tradition. he is the equivalent of joe kim in christian tradition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is the equivalent of joe game in christian tradition', 'he is the equivalent of joe game and christian tradition', 'he is the equivalent of joe game and christian tradition', 'he is the equivalent of joe game in christian tradition', 'he is the equivalent of joe kim in christian tradition']
|
|
[
"but they were engaged",
"but they were engaged",
"but they were engaged",
"but they were engaged",
"but they were engaged"
] |
but they were engaged
|
but they were engaged.
|
but they were engaged. but they were engaged. but they were engaged. but they were engaged.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but they were engaged', 'but they were engaged', 'but they were engaged', 'but they were engaged', 'but they were engaged']
|
|
[
"to secure his position joharam killed his six brothers",
"to secure his position joharam killed his six brothers",
"to secure this position joharam killed his six brothers",
"to secure his position joe haram killed his six brothers",
"to secure his position joe haram killed his six brothers"
] |
to secure his position jehoram killed his six brothers
|
to secure his position joharam killed his six brothers.
|
to secure his position joharam killed his six brothers. to secure this position joharam killed his six brothers. to secure his position joe haram killed his six brothers. to secure his position joe haram killed his six brothers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to secure his position joharam killed his six brothers', 'to secure his position joharam killed his six brothers', 'to secure this position joharam killed his six brothers', 'to secure his position joe haram killed his six brothers', 'to secure his position joe haram killed his six brothers']
|
|
[
"it is locally known as the moteman pike",
"it is locally known as the moteman pike",
"it is locally known as the mortman pike",
"it is locally known as the modement pike",
"it is locally known as the morteman pike"
] |
it is locally known as the marlton pike
|
it is locally known as the moteman pike.
|
it is locally known as the moteman pike. it is locally known as the mortman pike. it is locally known as the modement pike. it is locally known as the morteman pike.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is locally known as the moteman pike', 'it is locally known as the moteman pike', 'it is locally known as the mortman pike', 'it is locally known as the modement pike', 'it is locally known as the morteman pike']
|
|
[
"it was the manor house of henley on thames and was known as philips code",
"it was the manor house of henley on thames and was known as philips code",
"it was the manor house of henley on thames and was known as phyllic scote",
"it was the manor house of henley on thames and was known as philips coat",
"it was the manor house of henley on things and was known as phyllic scote"
] |
it was the manor house of henley on thames and was known as filets court
|
it was the manor house of henley on thames and was known as philips code.
|
it was the manor house of henley on thames and was known as philips code. it was the manor house of henley on thames and was known as phyllic scote. it was the manor house of henley on thames and was known as philips coat. it was the manor house of henley on things and was known as phyllic scote.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the manor house of henley on thames and was known as philips code', 'it was the manor house of henley on thames and was known as philips code', 'it was the manor house of henley on thames and was known as phyllic scote', 'it was the manor house of henley on thames and was known as philips coat', 'it was the manor house of henley on things and was known as phyllic scote']
|
|
[
"the remaining energy absorbed into the gaseous propellant is converted into trust",
"the remaining energy absorbed into the gaseous propellant is converted into trashed",
"the remaining energy absorbed into the gaseous propellant is converted into thrust",
"the remaining energy absorbed into the gaseous proponent is converted into trust",
"the remaining energy absorbed into the gaseous propellant is converted into touch"
] |
the remaining energy absorbed into the gaseous propellant is converted into thrust
|
the remaining energy absorbed into the gaseous propellant is converted into trust.
|
the remaining energy absorbed into the gaseous propellant is converted into trashed. the remaining energy absorbed into the gaseous propellant is converted into thrust. the remaining energy absorbed into the gaseous proponent is converted into trust. the remaining energy absorbed into the gaseous propellant is converted into touch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the remaining energy absorbed into the gaseous propellant is converted into trust', 'the remaining energy absorbed into the gaseous propellant is converted into trashed', 'the remaining energy absorbed into the gaseous propellant is converted into thrust', 'the remaining energy absorbed into the gaseous proponent is converted into trust', 'the remaining energy absorbed into the gaseous propellant is converted into touch']
|
|
[
"the lyco features four world defined extrema with two asymmetric maximals",
"the light cove shows full world to find extrema with two asymmetric maximals",
"the light cove shows four world defined extrema with two asymmetric maximals",
"the light coefficient is four world defined extrema with two asymmetric maximals",
"the light coefficient is four world to find extrema with two asymmetric maximals"
] |
the light curve shows four well defined extrema with two asymmetric maxima
|
the lyco features four world defined extrema with two asymmetric maximals.
|
the light cove shows full world to find extrema with two asymmetric maximals. the light cove shows four world defined extrema with two asymmetric maximals. the light coefficient is four world defined extrema with two asymmetric maximals. the light coefficient is four world to find extrema with two asymmetric maximals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the lyco features four world defined extrema with two asymmetric maximals', 'the light cove shows full world to find extrema with two asymmetric maximals', 'the light cove shows four world defined extrema with two asymmetric maximals', 'the light coefficient is four world defined extrema with two asymmetric maximals', 'the light coefficient is four world to find extrema with two asymmetric maximals']
|
|
[
"steward is married four times most notably to margaret hawkridge",
"steaver is married four times most notably to margaret hawkridge",
"steaver is married four times most notably to margaret hawkridge",
"steward is married four times most notably to margaret hockridge",
"steaver is married four times most notably to margaret hockridge"
] |
stewart was married four times most notably to margaret hockridge
|
steward is married four times most notably to margaret hawkridge.
|
steaver is married four times most notably to margaret hawkridge. steaver is married four times most notably to margaret hawkridge. steward is married four times most notably to margaret hockridge. steaver is married four times most notably to margaret hockridge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['steward is married four times most notably to margaret hawkridge', 'steaver is married four times most notably to margaret hawkridge', 'steaver is married four times most notably to margaret hawkridge', 'steward is married four times most notably to margaret hockridge', 'steaver is married four times most notably to margaret hockridge']
|
|
[
"in the next last film episode saturday is heroes the cleanser is baby is finally made",
"in the next last film episode saturday is heroes the clincher is baby is finally made",
"in the next last film episode saturday is heroes the clinchers baby is finally made",
"in the next last film episode saturday is heroes the klinger is baby is finally made",
"in the next last film episode saturday is heroes the clinger is baby is finally made"
] |
in the next to last filmed episode saturday is heroes the klingers baby is finally named
|
in the next last film episode saturday is heroes the cleanser is baby is finally made.
|
in the next last film episode saturday is heroes the clincher is baby is finally made. in the next last film episode saturday is heroes the clinchers baby is finally made. in the next last film episode saturday is heroes the klinger is baby is finally made. in the next last film episode saturday is heroes the clinger is baby is finally made.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the next last film episode saturday is heroes the cleanser is baby is finally made', 'in the next last film episode saturday is heroes the clincher is baby is finally made', 'in the next last film episode saturday is heroes the clinchers baby is finally made', 'in the next last film episode saturday is heroes the klinger is baby is finally made', 'in the next last film episode saturday is heroes the clinger is baby is finally made']
|
|
[
"the main airport is a stitching cover airport",
"the main airport is the stitching cover airport",
"the main airport is a switching cover airport",
"the main airport is a stitching covert airport",
"the main airport is a pitching cover airport"
] |
the main airport is the spichenkovo airport
|
the main airport is a stitching cover airport.
|
the main airport is the stitching cover airport. the main airport is a switching cover airport. the main airport is a stitching covert airport. the main airport is a pitching cover airport.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main airport is a stitching cover airport', 'the main airport is the stitching cover airport', 'the main airport is a switching cover airport', 'the main airport is a stitching covert airport', 'the main airport is a pitching cover airport']
|
|
[
"you must sleep he averaged",
"you must sleep he urged him",
"you must sleep he urged",
"you must sleep he averaged",
"you must sleep he urged him"
] |
you must sleep he urged
|
you must sleep he averaged.
|
you must sleep he urged him. you must sleep he urged. you must sleep he averaged. you must sleep he urged him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you must sleep he averaged', 'you must sleep he urged him', 'you must sleep he urged', 'you must sleep he averaged', 'you must sleep he urged him']
|
|
[
"steps may have been rams bottoms intended successor",
"steps may have been ram is bottoms intended successor",
"steps may have been rams bottoms intended successor",
"steps may have been rams bottoms intended successor",
"stops may have been rams bottoms intended successor"
] |
stubbs may have been ramsbottom is intended successor
|
steps may have been rams bottoms intended successor.
|
steps may have been ram is bottoms intended successor. steps may have been rams bottoms intended successor. steps may have been rams bottoms intended successor. stops may have been rams bottoms intended successor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['steps may have been rams bottoms intended successor', 'steps may have been ram is bottoms intended successor', 'steps may have been rams bottoms intended successor', 'steps may have been rams bottoms intended successor', 'stops may have been rams bottoms intended successor']
|
|
[
"and that being us",
"on that being us",
"and that would be us",
"are not that being us",
"and that being us"
] |
will not that be nice
|
and that being us.
|
on that being us. and that would be us. are not that being us. and that being us.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and that being us', 'on that being us', 'and that would be us', 'are not that being us', 'and that being us']
|
|
[
"as soon as a new school seems to interact with each other frequently",
"let us tune in to schools aimed to interact with each other frequently",
"this tune is a new school theme to interact with each other frequently",
"the students and their schools aim to interact with each other frequently",
"as soon as a new school seems to interact with each other frequently"
] |
the students in this school seem to interact with each other frequently
|
as soon as a new school seems to interact with each other frequently.
|
let us tune in to schools aimed to interact with each other frequently. this tune is a new school theme to interact with each other frequently. the students and their schools aim to interact with each other frequently. as soon as a new school seems to interact with each other frequently.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as soon as a new school seems to interact with each other frequently', 'let us tune in to schools aimed to interact with each other frequently', 'this tune is a new school theme to interact with each other frequently', 'the students and their schools aim to interact with each other frequently', 'as soon as a new school seems to interact with each other frequently']
|
|
[
"as a result bagenani became the focal point of toronto is events",
"as a result baganani became the focal point of toronto is events",
"as a result barganani became the focal point of toronto is events",
"as a result bargainani became the focal point of toronto is events",
"as a result by gennani became the focal point of toronto is events"
] |
as a result bargnani became the focal point of toronto is offense
|
as a result bagenani became the focal point of toronto is events.
|
as a result baganani became the focal point of toronto is events. as a result barganani became the focal point of toronto is events. as a result bargainani became the focal point of toronto is events. as a result by gennani became the focal point of toronto is events.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as a result bagenani became the focal point of toronto is events', 'as a result baganani became the focal point of toronto is events', 'as a result barganani became the focal point of toronto is events', 'as a result bargainani became the focal point of toronto is events', 'as a result by gennani became the focal point of toronto is events']
|
|
[
"a severity of dandruff may fluctuate with season as it often worsens in the winter",
"the severity of dandruff may fluctuate with season as it often worsens in the winter",
"the severity of the dandruff may fluctuate with season as it often worsens in the winter",
"the severity of dandruff may fluctuate with season as it often worsens in the winter",
"a severity of dandruff may fluctuate with season as it often works since in the winter"
] |
the severity of dandruff may fluctuate with season as it often worsens in winter
|
a severity of dandruff may fluctuate with season as it often worsens in the winter.
|
the severity of dandruff may fluctuate with season as it often worsens in the winter. the severity of the dandruff may fluctuate with season as it often worsens in the winter. the severity of dandruff may fluctuate with season as it often worsens in the winter. a severity of dandruff may fluctuate with season as it often works since in the winter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a severity of dandruff may fluctuate with season as it often worsens in the winter', 'the severity of dandruff may fluctuate with season as it often worsens in the winter', 'the severity of the dandruff may fluctuate with season as it often worsens in the winter', 'the severity of dandruff may fluctuate with season as it often worsens in the winter', 'a severity of dandruff may fluctuate with season as it often works since in the winter']
|
|
[
"it is drained by aqua chicola creek and poor poco creek into the lay high river",
"it is drained by aqua chicola creek and poor poker creek into the lay high river",
"it is drained by aqua chicola creek and poca poca creek into the lehigh river",
"it is drained by aqua shikola creek and poor poker creek into the lay high river",
"it is drained by aqua shikola creek and power poker creek into the lehigh river"
] |
it is drained by aquashicola creek and pohopoco creek into the lehigh river
|
it is drained by aqua chicola creek and poor poco creek into the lay high river.
|
it is drained by aqua chicola creek and poor poker creek into the lay high river. it is drained by aqua chicola creek and poca poca creek into the lehigh river. it is drained by aqua shikola creek and poor poker creek into the lay high river. it is drained by aqua shikola creek and power poker creek into the lehigh river.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is drained by aqua chicola creek and poor poco creek into the lay high river', 'it is drained by aqua chicola creek and poor poker creek into the lay high river', 'it is drained by aqua chicola creek and poca poca creek into the lehigh river', 'it is drained by aqua shikola creek and poor poker creek into the lay high river', 'it is drained by aqua shikola creek and power poker creek into the lehigh river']
|
|
[
"welcome live in her home during this first university",
"welcome live in her home during this first university",
"welcome live in her home during this first unicity",
"welcome live in her home during this first university",
"walk a lift in her home during this first university"
] |
walker lived in her home during his first year in the city
|
welcome live in her home during this first university.
|
welcome live in her home during this first university. welcome live in her home during this first unicity. welcome live in her home during this first university. walk a lift in her home during this first university.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['welcome live in her home during this first university', 'welcome live in her home during this first university', 'welcome live in her home during this first unicity', 'welcome live in her home during this first university', 'walk a lift in her home during this first university']
|
|
[
"a similar storage area serves as a temporary warehouse for sands",
"a similar storage area serves as a temporary warehouse for sounds",
"a similar storage area serves as a temporary warehouse for stands",
"a similar storage area serves as a temporary warehouse for sand",
"a similar storage area serves as a temporary warehouse for stands"
] |
a similar storage area serves as a temporary warehouse for sounds
|
a similar storage area serves as a temporary warehouse for sands.
|
a similar storage area serves as a temporary warehouse for sounds. a similar storage area serves as a temporary warehouse for stands. a similar storage area serves as a temporary warehouse for sand. a similar storage area serves as a temporary warehouse for stands.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a similar storage area serves as a temporary warehouse for sands', 'a similar storage area serves as a temporary warehouse for sounds', 'a similar storage area serves as a temporary warehouse for stands', 'a similar storage area serves as a temporary warehouse for sand', 'a similar storage area serves as a temporary warehouse for stands']
|
|
[
"in this book crowley argues against both dogmatic individualism and dogmatic socialism",
"in this book crowley argues against both dogmatic individualism and dogmatic socialism",
"in this book crowley argues against both dogmatic individualism and dogmatic socialism",
"in this book kroli argues against both dogmatic individualism and dogmatic socialism",
"in this book crowley argues against both dogmatic individualism and dogmatic socialism"
] |
in this book croly argues against both dogmatic individualism and dogmatic socialism
|
in this book crowley argues against both dogmatic individualism and dogmatic socialism.
|
in this book crowley argues against both dogmatic individualism and dogmatic socialism. in this book crowley argues against both dogmatic individualism and dogmatic socialism. in this book kroli argues against both dogmatic individualism and dogmatic socialism. in this book crowley argues against both dogmatic individualism and dogmatic socialism.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this book crowley argues against both dogmatic individualism and dogmatic socialism', 'in this book crowley argues against both dogmatic individualism and dogmatic socialism', 'in this book crowley argues against both dogmatic individualism and dogmatic socialism', 'in this book kroli argues against both dogmatic individualism and dogmatic socialism', 'in this book crowley argues against both dogmatic individualism and dogmatic socialism']
|
|
[
"he was educated at upingham school and saint catherine is college cambridge",
"he was educated at a pingam school and saint catherine is college cambridge",
"he was educated at a pingam school and saint catherine is college came bridge",
"he was educated at upingham school and saint catherine is college cambridge",
"he was educated at a pingam school and saint catherine is college came bridge"
] |
he was educated at uppingham school and saint catharine is college cambridge
|
he was educated at upingham school and saint catherine is college cambridge.
|
he was educated at a pingam school and saint catherine is college cambridge. he was educated at a pingam school and saint catherine is college came bridge. he was educated at upingham school and saint catherine is college cambridge. he was educated at a pingam school and saint catherine is college came bridge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was educated at upingham school and saint catherine is college cambridge', 'he was educated at a pingam school and saint catherine is college cambridge', 'he was educated at a pingam school and saint catherine is college came bridge', 'he was educated at upingham school and saint catherine is college cambridge', 'he was educated at a pingam school and saint catherine is college came bridge']
|
|
[
"this vote made him unpopular within the liberal party",
"this vote made him unpopular with the liberal party",
"this vote made him unpopular with in the liberal party",
"this vote made him unpopular with an illiberal party",
"this vote made him unpopular with an illiberal party"
] |
this vote made him unpopular within the liberal party
|
this vote made him unpopular within the liberal party.
|
this vote made him unpopular with the liberal party. this vote made him unpopular with in the liberal party. this vote made him unpopular with an illiberal party. this vote made him unpopular with an illiberal party.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this vote made him unpopular within the liberal party', 'this vote made him unpopular with the liberal party', 'this vote made him unpopular with in the liberal party', 'this vote made him unpopular with an illiberal party', 'this vote made him unpopular with an illiberal party']
|
|
[
"same joseph academy and then studied at canisius college both schools are located in buffalo",
"same joseph academy and then studied at canisius college both schools are located in buffalo",
"same joseph academy and then studied at canisius college both schools are located in buffalo",
"same joseph academy and then studied at canisius college both schools are located in buffalo",
"saint joseph academy and then studied at canisius college both schools are located in buffalo"
] |
saint joseph academy and then studied at canisius college both schools are located in buffalo
|
same joseph academy and then studied at canisius college both schools are located in buffalo.
|
same joseph academy and then studied at canisius college both schools are located in buffalo. same joseph academy and then studied at canisius college both schools are located in buffalo. same joseph academy and then studied at canisius college both schools are located in buffalo. saint joseph academy and then studied at canisius college both schools are located in buffalo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['same joseph academy and then studied at canisius college both schools are located in buffalo', 'same joseph academy and then studied at canisius college both schools are located in buffalo', 'same joseph academy and then studied at canisius college both schools are located in buffalo', 'same joseph academy and then studied at canisius college both schools are located in buffalo', 'saint joseph academy and then studied at canisius college both schools are located in buffalo']
|
|
[
"after suffering from a series of mischaps kazuya hasikawa has finally entered royoto academy",
"after suffering from a series of mischabs kazuya hasikawa has finally entered royoto academy",
"after suffering from a series of mishaps kazuya hasikawa has finally entered royoto academy",
"after suffering from a series of mischaps kazuya hasikawa has finally entered rio to academy",
"after suffering from a series of mischaps kazuya hasekawa has finally entered royoto academy"
] |
after suffering from a series of mishaps kazuya hasekawa has finally entered ryokuto academy
|
after suffering from a series of mischaps kazuya hasikawa has finally entered royoto academy.
|
after suffering from a series of mischabs kazuya hasikawa has finally entered royoto academy. after suffering from a series of mishaps kazuya hasikawa has finally entered royoto academy. after suffering from a series of mischaps kazuya hasikawa has finally entered rio to academy. after suffering from a series of mischaps kazuya hasekawa has finally entered royoto academy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after suffering from a series of mischaps kazuya hasikawa has finally entered royoto academy', 'after suffering from a series of mischabs kazuya hasikawa has finally entered royoto academy', 'after suffering from a series of mishaps kazuya hasikawa has finally entered royoto academy', 'after suffering from a series of mischaps kazuya hasikawa has finally entered rio to academy', 'after suffering from a series of mischaps kazuya hasekawa has finally entered royoto academy']
|
|
[
"a large group of people underneath are large retinct",
"a large group of people underneath are large retent",
"a large group of people underneath of a large root tint",
"a large group of people underneath are large retinct",
"a large group of people underneath of a large retinct"
] |
a large group of people underneath a large red tent
|
a large group of people underneath are large retinct.
|
a large group of people underneath are large retent. a large group of people underneath of a large root tint. a large group of people underneath are large retinct. a large group of people underneath of a large retinct.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a large group of people underneath are large retinct', 'a large group of people underneath are large retent', 'a large group of people underneath of a large root tint', 'a large group of people underneath are large retinct', 'a large group of people underneath of a large retinct']
|
|
[
"he also had a wife elizabeth winnie who had four of his eight children",
"he also had a wife elizabeth winning who had four of his eight children",
"he also had a wife elizabeth winney who had four of his eight children",
"he also had a wife elizabeth winnie who had four of his eight children",
"he also had a wife elizabeth vinny who had four of his eight children"
] |
he also had a wife elizabeth whinny who had four of his eight children
|
he also had a wife elizabeth winnie who had four of his eight children.
|
he also had a wife elizabeth winning who had four of his eight children. he also had a wife elizabeth winney who had four of his eight children. he also had a wife elizabeth winnie who had four of his eight children. he also had a wife elizabeth vinny who had four of his eight children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also had a wife elizabeth winnie who had four of his eight children', 'he also had a wife elizabeth winning who had four of his eight children', 'he also had a wife elizabeth winney who had four of his eight children', 'he also had a wife elizabeth winnie who had four of his eight children', 'he also had a wife elizabeth vinny who had four of his eight children']
|
|
[
"he is the author of numerous scholarly works on antitrust and constitutional law",
"he is the author of numerous scholarly works on anti trust and constitutional law",
"he is the author of numerous scholarly works on antitrust and constitutional law",
"he is the author of numerous scholarly works on antitrust and constitutional law",
"the author of numerous scholarly works on antitrust and constitutional law"
] |
he is the author of numerous scholarly works on antitrust and constitutional law
|
he is the author of numerous scholarly works on antitrust and constitutional law.
|
he is the author of numerous scholarly works on anti trust and constitutional law. he is the author of numerous scholarly works on antitrust and constitutional law. he is the author of numerous scholarly works on antitrust and constitutional law. the author of numerous scholarly works on antitrust and constitutional law.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is the author of numerous scholarly works on antitrust and constitutional law', 'he is the author of numerous scholarly works on anti trust and constitutional law', 'he is the author of numerous scholarly works on antitrust and constitutional law', 'he is the author of numerous scholarly works on antitrust and constitutional law', 'the author of numerous scholarly works on antitrust and constitutional law']
|
|
[
"ships with the same cloth may be referred to as sister ships",
"chips with the same cloth may be referred to as sister ships",
"ships with the same cloth may be referred to as sister ships",
"ships with the same cloth may be referred to as sister shoes",
"ships with the same cloth may be referred to as sister shirts"
] |
ships of the same class may be referred to as sister ships
|
ships with the same cloth may be referred to as sister ships.
|
chips with the same cloth may be referred to as sister ships. ships with the same cloth may be referred to as sister ships. ships with the same cloth may be referred to as sister shoes. ships with the same cloth may be referred to as sister shirts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ships with the same cloth may be referred to as sister ships', 'chips with the same cloth may be referred to as sister ships', 'ships with the same cloth may be referred to as sister ships', 'ships with the same cloth may be referred to as sister shoes', 'ships with the same cloth may be referred to as sister shirts']
|
|
[
"the tidal river below you village is navigable to small craft",
"the title wither below bow you village is navigable to small craft",
"the tidal river below bow you village is navigable to small craft",
"the title with a blowbow you village is navigable to small craft",
"the title with a below bow you village is navigable to small craft"
] |
the tidal river below beaulieu village is navigable to small craft
|
the tidal river below you village is navigable to small craft.
|
the title wither below bow you village is navigable to small craft. the tidal river below bow you village is navigable to small craft. the title with a blowbow you village is navigable to small craft. the title with a below bow you village is navigable to small craft.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the tidal river below you village is navigable to small craft', 'the title wither below bow you village is navigable to small craft', 'the tidal river below bow you village is navigable to small craft', 'the title with a blowbow you village is navigable to small craft', 'the title with a below bow you village is navigable to small craft']
|
|
[
"hezboot was rage baptist",
"heispert was rage baptist",
"heispert was raid baptist",
"he is but was rage baptist",
"hezboot was rage baptist"
] |
haysbert was raised baptist
|
hezboot was rage baptist.
|
heispert was rage baptist. heispert was raid baptist. he is but was rage baptist. hezboot was rage baptist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hezboot was rage baptist', 'heispert was rage baptist', 'heispert was raid baptist', 'he is but was rage baptist', 'hezboot was rage baptist']
|
|
[
"the mountain is name in both ancient and modern forms means roughly belonging to source",
"the mountain is name in both ancient and modern forms means roughly belonging to source",
"the mountain is name in both ancient and modern forms means roughly belonging to sirs",
"the mountain is name in both ancient and modern forms means roughly belonging to sirs",
"the mountains name in both ancient and modern forms means roughly belonging to source"
] |
the mountain is name in both ancient and modern forms means roughly belonging to circe
|
the mountain is name in both ancient and modern forms means roughly belonging to source.
|
the mountain is name in both ancient and modern forms means roughly belonging to source. the mountain is name in both ancient and modern forms means roughly belonging to sirs. the mountain is name in both ancient and modern forms means roughly belonging to sirs. the mountains name in both ancient and modern forms means roughly belonging to source.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mountain is name in both ancient and modern forms means roughly belonging to source', 'the mountain is name in both ancient and modern forms means roughly belonging to source', 'the mountain is name in both ancient and modern forms means roughly belonging to sirs', 'the mountain is name in both ancient and modern forms means roughly belonging to sirs', 'the mountains name in both ancient and modern forms means roughly belonging to source']
|
|
[
"there was also a branch in annapolis maryland",
"there was also a branch in anna polis maryland",
"there was also a branch in anipoli is maryland",
"there was also a branch in anna polis maryland",
"there was also a branch in anipoli is maryland"
] |
there was also a branch in annapolis maryland
|
there was also a branch in annapolis maryland.
|
there was also a branch in anna polis maryland. there was also a branch in anipoli is maryland. there was also a branch in anna polis maryland. there was also a branch in anipoli is maryland.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there was also a branch in annapolis maryland', 'there was also a branch in anna polis maryland', 'there was also a branch in anipoli is maryland', 'there was also a branch in anna polis maryland', 'there was also a branch in anipoli is maryland']
|
|
[
"she wore plastic raincoat which was designed by galilea",
"she wore plastic raincoat which was designed by gillilinear",
"she wore plastic raincoat which was designed by galilania",
"she wore plastic raincoat which was designed by galilinia",
"she wore plastic raincoat which was designed by gillilinia"
] |
she wore a plastic raincoat which was designed by galliano
|
she wore plastic raincoat which was designed by galilea.
|
she wore plastic raincoat which was designed by gillilinear. she wore plastic raincoat which was designed by galilania. she wore plastic raincoat which was designed by galilinia. she wore plastic raincoat which was designed by gillilinia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she wore plastic raincoat which was designed by galilea', 'she wore plastic raincoat which was designed by gillilinear', 'she wore plastic raincoat which was designed by galilania', 'she wore plastic raincoat which was designed by galilinia', 'she wore plastic raincoat which was designed by gillilinia']
|
|
[
"yet another strain of thought has concluded that realignment is occurring",
"yet another train of thought has concluded that realignment is occurring",
"yet another strain of thought has concluded that realignment is occurring",
"yet another strain of thought has concluded that realignment is occurring",
"yet another strain of thought has concluded that realignment is occurring"
] |
yet another strain of thought has concluded that realignment is occurring
|
yet another strain of thought has concluded that realignment is occurring.
|
yet another train of thought has concluded that realignment is occurring. yet another strain of thought has concluded that realignment is occurring. yet another strain of thought has concluded that realignment is occurring. yet another strain of thought has concluded that realignment is occurring.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['yet another strain of thought has concluded that realignment is occurring', 'yet another train of thought has concluded that realignment is occurring', 'yet another strain of thought has concluded that realignment is occurring', 'yet another strain of thought has concluded that realignment is occurring', 'yet another strain of thought has concluded that realignment is occurring']
|
|
[
"endothelial cells in heart sections were prominent",
"endothelial cells in heart sections were prominent",
"andothelial cells in heart sections were prominent",
"endothelial cells in heart sections were prominent",
"endothelial cells in heart sections were prominent"
] |
endothelial cells in heart sections were prominent
|
endothelial cells in heart sections were prominent.
|
endothelial cells in heart sections were prominent. andothelial cells in heart sections were prominent. endothelial cells in heart sections were prominent. endothelial cells in heart sections were prominent.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['endothelial cells in heart sections were prominent', 'endothelial cells in heart sections were prominent', 'andothelial cells in heart sections were prominent', 'endothelial cells in heart sections were prominent', 'endothelial cells in heart sections were prominent']
|
|
[
"auction records are an important resource to assist in researching the provenance of paintings",
"oxygen records are an important resource to assist in researching the provenance of paintings",
"oction records are an important resource to assist in researching the provenance of paintings",
"oxion records are an important resource to assist in researching the provenance of paintings",
"option records are an important resource to assist in researching the provenance of paintings"
] |
auction records are an important resource to assist in researching the provenance of paintings
|
auction records are an important resource to assist in researching the provenance of paintings.
|
oxygen records are an important resource to assist in researching the provenance of paintings. oction records are an important resource to assist in researching the provenance of paintings. oxion records are an important resource to assist in researching the provenance of paintings. option records are an important resource to assist in researching the provenance of paintings.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['auction records are an important resource to assist in researching the provenance of paintings', 'oxygen records are an important resource to assist in researching the provenance of paintings', 'oction records are an important resource to assist in researching the provenance of paintings', 'oxion records are an important resource to assist in researching the provenance of paintings', 'option records are an important resource to assist in researching the provenance of paintings']
|
|
[
"this preservation strategy is most often utilized in unhydrobiosis",
"this preservation strategy is most often utilized in inehydrobiosis",
"this preservation strategy is most often utilized in iron hydrobiosis",
"this preservation strategy is most often utilized in unhydrobiosis",
"this preservation strategy is most often utilized in inhydrobiosis"
] |
this preservation strategy is most often utilized in anhydrobiosis
|
this preservation strategy is most often utilized in unhydrobiosis.
|
this preservation strategy is most often utilized in inehydrobiosis. this preservation strategy is most often utilized in iron hydrobiosis. this preservation strategy is most often utilized in unhydrobiosis. this preservation strategy is most often utilized in inhydrobiosis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this preservation strategy is most often utilized in unhydrobiosis', 'this preservation strategy is most often utilized in inehydrobiosis', 'this preservation strategy is most often utilized in iron hydrobiosis', 'this preservation strategy is most often utilized in unhydrobiosis', 'this preservation strategy is most often utilized in inhydrobiosis']
|
|
[
"the illustration to the right exemplifies can button",
"the illustration to the right exemplifies can button",
"the illustration to the right exemplifies can button",
"the illustration to the right exemplifies can button",
"the illustration to the right exemplifies kanbun"
] |
the illustration to the right exemplifies kanbun
|
the illustration to the right exemplifies can button.
|
the illustration to the right exemplifies can button. the illustration to the right exemplifies can button. the illustration to the right exemplifies can button. the illustration to the right exemplifies kanbun.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the illustration to the right exemplifies can button', 'the illustration to the right exemplifies can button', 'the illustration to the right exemplifies can button', 'the illustration to the right exemplifies can button', 'the illustration to the right exemplifies kanbun']
|
|
[
"as a young man he learned to drive a steam powered lorry named elizabeth",
"as a young man he learned to drive a steam powered lorry named elizabeth",
"as a young man he learned to drive a steam powered lorry named elizabeth",
"as a young man he learned to drive a steam powered lorry named elizabeth",
"as a young man he learnt to drive a steam powered lorry named elizabeth"
] |
as a young man he learned to drive a steam powered lorry named elizabeth
|
as a young man he learned to drive a steam powered lorry named elizabeth.
|
as a young man he learned to drive a steam powered lorry named elizabeth. as a young man he learned to drive a steam powered lorry named elizabeth. as a young man he learned to drive a steam powered lorry named elizabeth. as a young man he learnt to drive a steam powered lorry named elizabeth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as a young man he learned to drive a steam powered lorry named elizabeth', 'as a young man he learned to drive a steam powered lorry named elizabeth', 'as a young man he learned to drive a steam powered lorry named elizabeth', 'as a young man he learned to drive a steam powered lorry named elizabeth', 'as a young man he learnt to drive a steam powered lorry named elizabeth']
|
|
[
"a sample of these objects is called a jet",
"the ensemble of these objects is called a jet",
"the ensemble of these objects is called eject",
"a sample of these objects is called eject",
"the ensemble of these objects is called eject"
] |
the ensemble of these objects is called a jet
|
a sample of these objects is called a jet.
|
the ensemble of these objects is called a jet. the ensemble of these objects is called eject. a sample of these objects is called eject. the ensemble of these objects is called eject.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a sample of these objects is called a jet', 'the ensemble of these objects is called a jet', 'the ensemble of these objects is called eject', 'a sample of these objects is called eject', 'the ensemble of these objects is called eject']
|
|
[
"the record label was then bought by the warner music group",
"the record label was then bought by the warner music group",
"the record label was then bought by the werner music group",
"the record label was then bought by the werner music group",
"the record label was then bought by the werner music group"
] |
the record label was then bought by the warner music group
|
the record label was then bought by the warner music group.
|
the record label was then bought by the warner music group. the record label was then bought by the werner music group. the record label was then bought by the werner music group. the record label was then bought by the werner music group.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the record label was then bought by the warner music group', 'the record label was then bought by the warner music group', 'the record label was then bought by the werner music group', 'the record label was then bought by the werner music group', 'the record label was then bought by the werner music group']
|
|
[
"this is a backup in case a transponder fails to read",
"this is a backup in case a transponder failstreet",
"this is a back up in case a transponder fails to read",
"this is a backup in case a transponder fails to read",
"this is a back up in case a transponder fails to read"
] |
this is a backup in case a transponder fails to read
|
this is a backup in case a transponder fails to read.
|
this is a backup in case a transponder failstreet. this is a back up in case a transponder fails to read. this is a backup in case a transponder fails to read. this is a back up in case a transponder fails to read.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is a backup in case a transponder fails to read', 'this is a backup in case a transponder failstreet', 'this is a back up in case a transponder fails to read', 'this is a backup in case a transponder fails to read', 'this is a back up in case a transponder fails to read']
|
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