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
|
|---|---|---|---|---|---|---|---|---|
[
"the point was in every way unsuitable",
"the appointment was in every way unsuitable",
"the point was in everywhere unsuitable",
"the point one was in every way unsuitable",
"the point was in everywhere unsuitable"
] |
the appointment was in every way unsuitable
|
the point was in every way unsuitable.
|
the appointment was in every way unsuitable. the point was in everywhere unsuitable. the point one was in every way unsuitable. the point was in everywhere unsuitable.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the point was in every way unsuitable', 'the appointment was in every way unsuitable', 'the point was in everywhere unsuitable', 'the point one was in every way unsuitable', 'the point was in everywhere unsuitable']
|
|
[
"mondeolouki is known for its four step hills and powerful waterfalls",
"mon diolukki is known for its four step hills and powerful waterfalls",
"mondeo luke key is known for its four step hills and powerful waterfalls",
"mondioluke is known for its four step hills and powerful waterfalls",
"mondeolouki is known for its four step hills and powerful water pools"
] |
mondulkiri is known for its forested hills and powerful waterfalls
|
mondeolouki is known for its four step hills and powerful waterfalls.
|
mon diolukki is known for its four step hills and powerful waterfalls. mondeo luke key is known for its four step hills and powerful waterfalls. mondioluke is known for its four step hills and powerful waterfalls. mondeolouki is known for its four step hills and powerful water pools.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mondeolouki is known for its four step hills and powerful waterfalls', 'mon diolukki is known for its four step hills and powerful waterfalls', 'mondeo luke key is known for its four step hills and powerful waterfalls', 'mondioluke is known for its four step hills and powerful waterfalls', 'mondeolouki is known for its four step hills and powerful water pools']
|
|
[
"the following squadrons are currently active with the royal tai air force",
"the following squadrons are currently active with the royal thai air force",
"the following squadrons are currently active with the royal tie air force",
"the following squadrons are currently active with the royal ty air force",
"the following squadrons are currently active with the royal tie air force"
] |
the following squadrons are currently active with the royal thai air force
|
the following squadrons are currently active with the royal tai air force.
|
the following squadrons are currently active with the royal thai air force. the following squadrons are currently active with the royal tie air force. the following squadrons are currently active with the royal ty air force. the following squadrons are currently active with the royal tie air force.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following squadrons are currently active with the royal tai air force', 'the following squadrons are currently active with the royal thai air force', 'the following squadrons are currently active with the royal tie air force', 'the following squadrons are currently active with the royal ty air force', 'the following squadrons are currently active with the royal tie air force']
|
|
[
"it is main base of suwarnabumi airport bangkok",
"its main base is suwarnabumi airport bangkok",
"it is main base is suwarnabumi airport bangkok",
"its main base is suwarnabhumi airport bangkok",
"its main basis is warnabumi airport bangkok"
] |
its main base is suvarnabhumi airport bangkok
|
it is main base of suwarnabumi airport bangkok.
|
its main base is suwarnabumi airport bangkok. it is main base is suwarnabumi airport bangkok. its main base is suwarnabhumi airport bangkok. its main basis is warnabumi airport bangkok.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is main base of suwarnabumi airport bangkok', 'its main base is suwarnabumi airport bangkok', 'it is main base is suwarnabumi airport bangkok', 'its main base is suwarnabhumi airport bangkok', 'its main basis is warnabumi airport bangkok']
|
|
[
"uptown express feed",
"uptown express feet",
"uptown express fleet",
"uptown express feet",
"uptown express fleet"
] |
uptown express feat
|
uptown express feed.
|
uptown express feet. uptown express fleet. uptown express feet. uptown express fleet.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['uptown express feed', 'uptown express feet', 'uptown express fleet', 'uptown express feet', 'uptown express fleet']
|
|
[
"eventually he served an apprenticeship as a woolen draper in the town of schroesbury",
"eventually he served an apprenticeship as a woolen draper in the town of shroesbury",
"eventually he served an apprenticeship as a woolen draper in the town of shrewsbury",
"eventually he served in apprenticeship as a woolen draper in the town of schroesbury",
"eventually he served an apprenticeship as a woolen draper in the town of schroesbury"
] |
eventually he served an apprenticeship as a woolen draper in the town of shrewsbury
|
eventually he served an apprenticeship as a woolen draper in the town of schroesbury.
|
eventually he served an apprenticeship as a woolen draper in the town of shroesbury. eventually he served an apprenticeship as a woolen draper in the town of shrewsbury. eventually he served in apprenticeship as a woolen draper in the town of schroesbury. eventually he served an apprenticeship as a woolen draper in the town of schroesbury.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['eventually he served an apprenticeship as a woolen draper in the town of schroesbury', 'eventually he served an apprenticeship as a woolen draper in the town of shroesbury', 'eventually he served an apprenticeship as a woolen draper in the town of shrewsbury', 'eventually he served in apprenticeship as a woolen draper in the town of schroesbury', 'eventually he served an apprenticeship as a woolen draper in the town of schroesbury']
|
|
[
"she would jump into a tank of water from a height of her mood",
"she would jump into a tank of water from the height of her mood",
"she would jump into a tank of water from height of her mood",
"she would jump into a tank of water from height of her mouth",
"she would jump into a tank of water from the height of her mouth"
] |
she would jump into an tank of water from a height of or more
|
she would jump into a tank of water from a height of her mood.
|
she would jump into a tank of water from the height of her mood. she would jump into a tank of water from height of her mood. she would jump into a tank of water from height of her mouth. she would jump into a tank of water from the height of her mouth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she would jump into a tank of water from a height of her mood', 'she would jump into a tank of water from the height of her mood', 'she would jump into a tank of water from height of her mood', 'she would jump into a tank of water from height of her mouth', 'she would jump into a tank of water from the height of her mouth']
|
|
[
"immediately following its publication many production companies quoted for both",
"immediately following its publication many production companies quoted for",
"immediately following its publication many production companies quoted for more",
"immediately following its publication many production companies quoted forber",
"immediately following its publication many production companies quoted for books"
] |
immediately following its publication many production companies courted ferber
|
immediately following its publication many production companies quoted for both.
|
immediately following its publication many production companies quoted for. immediately following its publication many production companies quoted for more. immediately following its publication many production companies quoted forber. immediately following its publication many production companies quoted for books.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['immediately following its publication many production companies quoted for both', 'immediately following its publication many production companies quoted for', 'immediately following its publication many production companies quoted for more', 'immediately following its publication many production companies quoted forber', 'immediately following its publication many production companies quoted for books']
|
|
[
"armad independently sold the phantoscope to the kinetoscope company",
"armat independently sold the phantoscope to the kinetoscope company",
"armat independently sold the phantoscope to the kinetoscope company",
"amat independently sold the phantoscope to the kinetoscope company",
"armad independently sold the phantoscope to the canetoscope company"
] |
armat independently sold the phantoscope to the kinetoscope company
|
armad independently sold the phantoscope to the kinetoscope company.
|
armat independently sold the phantoscope to the kinetoscope company. armat independently sold the phantoscope to the kinetoscope company. amat independently sold the phantoscope to the kinetoscope company. armad independently sold the phantoscope to the canetoscope company.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['armad independently sold the phantoscope to the kinetoscope company', 'armat independently sold the phantoscope to the kinetoscope company', 'armat independently sold the phantoscope to the kinetoscope company', 'amat independently sold the phantoscope to the kinetoscope company', 'armad independently sold the phantoscope to the canetoscope company']
|
|
[
"it is native to southern china himalayas and parts of southeast asia",
"it is native to southern china himalayas and parts of southeast asia",
"it is native to southern china the himalayas and parts of southeast asia",
"it is native to southern china himalayas and parts of southeast asia",
"it is native to southern china himalayas and parts of southeast asia"
] |
it is native to southern china the himalayas and parts of southeast asia
|
it is native to southern china himalayas and parts of southeast asia.
|
it is native to southern china himalayas and parts of southeast asia. it is native to southern china the himalayas and parts of southeast asia. it is native to southern china himalayas and parts of southeast asia. it is native to southern china himalayas and parts of southeast asia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is native to southern china himalayas and parts of southeast asia', 'it is native to southern china himalayas and parts of southeast asia', 'it is native to southern china the himalayas and parts of southeast asia', 'it is native to southern china himalayas and parts of southeast asia', 'it is native to southern china himalayas and parts of southeast asia']
|
|
[
"however mccreary defeated williams on the fourth ballot",
"however my query defeated williams on the fourth ballot",
"however mccreary defeated williams on the fourth ballot",
"however mccreary defeated williams on the fourth ballad",
"however my query defeated williams on the fourth ballot"
] |
however mccreary defeated williams on the fourth ballot
|
however mccreary defeated williams on the fourth ballot.
|
however my query defeated williams on the fourth ballot. however mccreary defeated williams on the fourth ballot. however mccreary defeated williams on the fourth ballad. however my query defeated williams on the fourth ballot.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however mccreary defeated williams on the fourth ballot', 'however my query defeated williams on the fourth ballot', 'however mccreary defeated williams on the fourth ballot', 'however mccreary defeated williams on the fourth ballad', 'however my query defeated williams on the fourth ballot']
|
|
[
"the high cost of redundancy payments is in practice what gives employees job security",
"the high cost of redundancy payments is in practice what gives employees job security",
"the high cost of redundancy payments is in practice what gives employees job security",
"the high cost of redundancy payments is in practice what gives employees job security",
"the high cost of redundancy payments is in practice what gives employees job security"
] |
the high cost of redundancy payments is in practice what gives employees job security
|
the high cost of redundancy payments is in practice what gives employees job security.
|
the high cost of redundancy payments is in practice what gives employees job security. the high cost of redundancy payments is in practice what gives employees job security. the high cost of redundancy payments is in practice what gives employees job security. the high cost of redundancy payments is in practice what gives employees job security.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the high cost of redundancy payments is in practice what gives employees job security', 'the high cost of redundancy payments is in practice what gives employees job security', 'the high cost of redundancy payments is in practice what gives employees job security', 'the high cost of redundancy payments is in practice what gives employees job security', 'the high cost of redundancy payments is in practice what gives employees job security']
|
|
[
"the ban was signed by polyvano records",
"the ban was signed by polyvinyl records",
"the band was signed by polyvano records",
"the ban was signed by polarnvano records",
"the ban was signed by polyvano records"
] |
the band was signed to polyvinyl records
|
the ban was signed by polyvano records.
|
the ban was signed by polyvinyl records. the band was signed by polyvano records. the ban was signed by polarnvano records. the ban was signed by polyvano records.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the ban was signed by polyvano records', 'the ban was signed by polyvinyl records', 'the band was signed by polyvano records', 'the ban was signed by polarnvano records', 'the ban was signed by polyvano records']
|
|
[
"the portland observatory is the only reminding maritime signal station in the united states",
"the portland observatory is the only remaining maritime signal station in the united states",
"the portland observatory is the only reminding maritime signal station in the united states",
"the portland observatory is the only remining maritime signal station in the united states",
"the portland observatory is the only remaining maritime signal station in the united states"
] |
the portland observatory is the only remaining maritime signal station in the united states
|
the portland observatory is the only reminding maritime signal station in the united states.
|
the portland observatory is the only remaining maritime signal station in the united states. the portland observatory is the only reminding maritime signal station in the united states. the portland observatory is the only remining maritime signal station in the united states. the portland observatory is the only remaining maritime signal station in the united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the portland observatory is the only reminding maritime signal station in the united states', 'the portland observatory is the only remaining maritime signal station in the united states', 'the portland observatory is the only reminding maritime signal station in the united states', 'the portland observatory is the only remining maritime signal station in the united states', 'the portland observatory is the only remaining maritime signal station in the united states']
|
|
[
"these plans cost much less than comprehensive health insurance",
"these plants cost much less than comprehensive health insurance",
"these planes cost much less than comprehensive health insurance",
"this plans cost much less than comprehensive health insurance",
"this plane is cost much less than comprehensive health insurance"
] |
these plans cost much less than comprehensive health insurance
|
these plans cost much less than comprehensive health insurance.
|
these plants cost much less than comprehensive health insurance. these planes cost much less than comprehensive health insurance. this plans cost much less than comprehensive health insurance. this plane is cost much less than comprehensive health insurance.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these plans cost much less than comprehensive health insurance', 'these plants cost much less than comprehensive health insurance', 'these planes cost much less than comprehensive health insurance', 'this plans cost much less than comprehensive health insurance', 'this plane is cost much less than comprehensive health insurance']
|
|
[
"the melodrama is served to enhance shakespeare is text",
"demeladron is served to enhance shakespeare is text",
"the melodrama is surfed to enhance shakespeare is text",
"demeladrom is served to enhance shakespeare is text",
"the melodrama is served to enhance shakespeare is text"
] |
the melodramas served to enhance shakespeare is text
|
the melodrama is served to enhance shakespeare is text.
|
demeladron is served to enhance shakespeare is text. the melodrama is surfed to enhance shakespeare is text. demeladrom is served to enhance shakespeare is text. the melodrama is served to enhance shakespeare is text.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the melodrama is served to enhance shakespeare is text', 'demeladron is served to enhance shakespeare is text', 'the melodrama is surfed to enhance shakespeare is text', 'demeladrom is served to enhance shakespeare is text', 'the melodrama is served to enhance shakespeare is text']
|
|
[
"this was also in the variations and standing intensity in the chromosomes",
"this was also in the variations and staining intensity in the chromosomes",
"this was also in the variations and staining and tension in the chromosomes",
"this was also in the variations and standing intensity in the chromosomes",
"this was also in the variations and staining intensity in the chromosomes"
] |
this results in the variations in staining intensity in the chromosomes
|
this was also in the variations and standing intensity in the chromosomes.
|
this was also in the variations and staining intensity in the chromosomes. this was also in the variations and staining and tension in the chromosomes. this was also in the variations and standing intensity in the chromosomes. this was also in the variations and staining intensity in the chromosomes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was also in the variations and standing intensity in the chromosomes', 'this was also in the variations and staining intensity in the chromosomes', 'this was also in the variations and staining and tension in the chromosomes', 'this was also in the variations and standing intensity in the chromosomes', 'this was also in the variations and staining intensity in the chromosomes']
|
|
[
"it is the only break in the entire wilka pampa mountain range",
"it is the only break in the entire wilka pampa mountain range",
"it is the only break in the entire wilka pampa mountain range",
"it is the only break in the entire wilka pompa mountain range",
"it is the only brake in the entire wilka pampa mountain range"
] |
it is the only break in the entire willkapampa mountain range
|
it is the only break in the entire wilka pampa mountain range.
|
it is the only break in the entire wilka pampa mountain range. it is the only break in the entire wilka pampa mountain range. it is the only break in the entire wilka pompa mountain range. it is the only brake in the entire wilka pampa mountain range.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the only break in the entire wilka pampa mountain range', 'it is the only break in the entire wilka pampa mountain range', 'it is the only break in the entire wilka pampa mountain range', 'it is the only break in the entire wilka pompa mountain range', 'it is the only brake in the entire wilka pampa mountain range']
|
|
[
"having decided to proceed he entered to extensive research before he began the painting",
"having decided to proceed he entered to extensive research before he began the painting",
"having decided to proceed he entered to extensive research before he begun the painting",
"having decided to proceed he entered to extensive research before he began the painting",
"having decided to proceed he entered to extensive research before he began the painting"
] |
having decided to proceed he undertook extensive research before he began the painting
|
having decided to proceed he entered to extensive research before he began the painting.
|
having decided to proceed he entered to extensive research before he began the painting. having decided to proceed he entered to extensive research before he begun the painting. having decided to proceed he entered to extensive research before he began the painting. having decided to proceed he entered to extensive research before he began the painting.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['having decided to proceed he entered to extensive research before he began the painting', 'having decided to proceed he entered to extensive research before he began the painting', 'having decided to proceed he entered to extensive research before he begun the painting', 'having decided to proceed he entered to extensive research before he began the painting', 'having decided to proceed he entered to extensive research before he began the painting']
|
|
[
"this is due to withholding calculations and the earned income tax credit",
"this is due to withholding calculations and the earned income tax credit",
"this is due to withholding calculations and the earned income tax credit",
"this is due to withholding calculations and the earned income tax credit",
"this is due to withholding calculations and the earned income tax credit"
] |
this is due to withholding calculations and the earned income tax credit
|
this is due to withholding calculations and the earned income tax credit.
|
this is due to withholding calculations and the earned income tax credit. this is due to withholding calculations and the earned income tax credit. this is due to withholding calculations and the earned income tax credit. this is due to withholding calculations and the earned income tax credit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is due to withholding calculations and the earned income tax credit', 'this is due to withholding calculations and the earned income tax credit', 'this is due to withholding calculations and the earned income tax credit', 'this is due to withholding calculations and the earned income tax credit', 'this is due to withholding calculations and the earned income tax credit']
|
|
[
"today there is no single kashmir spanish identity for the world of countries",
"today there is no single kashmir spanish identity for the world country",
"today there is no single cast beyond spanish identity for the world of countries",
"today there is no single kashmir spanish identity for the whole country",
"today there is no single kashmir spanish identity for the world of countries"
] |
today there is no single castilian spanish identity for the whole country
|
today there is no single kashmir spanish identity for the world of countries.
|
today there is no single kashmir spanish identity for the world country. today there is no single cast beyond spanish identity for the world of countries. today there is no single kashmir spanish identity for the whole country. today there is no single kashmir spanish identity for the world of countries.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['today there is no single kashmir spanish identity for the world of countries', 'today there is no single kashmir spanish identity for the world country', 'today there is no single cast beyond spanish identity for the world of countries', 'today there is no single kashmir spanish identity for the whole country', 'today there is no single kashmir spanish identity for the world of countries']
|
|
[
"you also notice that no word contains more than one long vowel",
"you also notes that no word contains more than one long vowel",
"you will soon notice that no word contains more than one long vowel",
"you also notes that no word contains more than one long vowel",
"you also notes that no word contains more than one long vowel"
] |
he also notes that no word contains more than one long vowel
|
you also notice that no word contains more than one long vowel.
|
you also notes that no word contains more than one long vowel. you will soon notice that no word contains more than one long vowel. you also notes that no word contains more than one long vowel. you also notes that no word contains more than one long vowel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you also notice that no word contains more than one long vowel', 'you also notes that no word contains more than one long vowel', 'you will soon notice that no word contains more than one long vowel', 'you also notes that no word contains more than one long vowel', 'you also notes that no word contains more than one long vowel']
|
|
[
"the same applies for brazil",
"the same applies for brazil",
"the same applies for brazil",
"the same applies for brazil",
"the same applies for brazil"
] |
the same applies for brazil
|
the same applies for brazil.
|
the same applies for brazil. the same applies for brazil. the same applies for brazil. the same applies for brazil.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the same applies for brazil', 'the same applies for brazil', 'the same applies for brazil', 'the same applies for brazil', 'the same applies for brazil']
|
|
[
"also the personal of jerry maguire was reportedly based on rosenhoes",
"also the person of jerry maguire was reportedly based on rosenhoes",
"also the character of jerry maguire was reportedly based on rosenhoes",
"also the persona of jerry maguire was reportedly based on rosenhoes",
"also the personal off jerry maguire was reportedly based on rosenhoes"
] |
also the persona of jerry maguire was reportedly based on rosenhaus
|
also the personal of jerry maguire was reportedly based on rosenhoes.
|
also the person of jerry maguire was reportedly based on rosenhoes. also the character of jerry maguire was reportedly based on rosenhoes. also the persona of jerry maguire was reportedly based on rosenhoes. also the personal off jerry maguire was reportedly based on rosenhoes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also the personal of jerry maguire was reportedly based on rosenhoes', 'also the person of jerry maguire was reportedly based on rosenhoes', 'also the character of jerry maguire was reportedly based on rosenhoes', 'also the persona of jerry maguire was reportedly based on rosenhoes', 'also the personal off jerry maguire was reportedly based on rosenhoes']
|
|
[
"that is what i tell him set them all around",
"that is what i tell him set the mother up",
"that is what i tell him said the mother",
"that is what i tell him set the mother on",
"that is what i tell him set the mother off"
] |
that s what i tell him said the mother
|
that is what i tell him set them all around.
|
that is what i tell him set the mother up. that is what i tell him said the mother. that is what i tell him set the mother on. that is what i tell him set the mother off.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that is what i tell him set them all around', 'that is what i tell him set the mother up', 'that is what i tell him said the mother', 'that is what i tell him set the mother on', 'that is what i tell him set the mother off']
|
|
[
"they share a curd color that is a similar hue to that of broccoli",
"they share a curved color that is a similar hue to that of broccoli",
"they share a curd color that is a similar hue to that of broccoli",
"they share a curd color that is a similar hue to that of broccoli",
"they share a curd color that is a similar hue to that of broccoli"
] |
they share a curd color that is a similar hue to that of broccoli
|
they share a curd color that is a similar hue to that of broccoli.
|
they share a curved color that is a similar hue to that of broccoli. they share a curd color that is a similar hue to that of broccoli. they share a curd color that is a similar hue to that of broccoli. they share a curd color that is a similar hue to that of broccoli.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they share a curd color that is a similar hue to that of broccoli', 'they share a curved color that is a similar hue to that of broccoli', 'they share a curd color that is a similar hue to that of broccoli', 'they share a curd color that is a similar hue to that of broccoli', 'they share a curd color that is a similar hue to that of broccoli']
|
|
[
"at the southeastern end is the elephant and causal tube station",
"at the southeastern end is the elephant and colossal tube station",
"as the southeastern end is the elephant and causal tube station",
"at the south eastern end is the elephant and causal tube station",
"at the southeast end is the elephant and causal tube station"
] |
at the southeastern end is the elephant and castle tube station
|
at the southeastern end is the elephant and causal tube station.
|
at the southeastern end is the elephant and colossal tube station. as the southeastern end is the elephant and causal tube station. at the south eastern end is the elephant and causal tube station. at the southeast end is the elephant and causal tube station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the southeastern end is the elephant and causal tube station', 'at the southeastern end is the elephant and colossal tube station', 'as the southeastern end is the elephant and causal tube station', 'at the south eastern end is the elephant and causal tube station', 'at the southeast end is the elephant and causal tube station']
|
|
[
"the line played an important part in this history of saint peter is college",
"the line played an important part in this history of saint peter is college",
"the line played an important part in this history of saint peter is college",
"the line played an important part in this history of saint peter is college",
"the line played an important part in this history of saint peter is college"
] |
the line played an important part in the history of saint peter is college
|
the line played an important part in this history of saint peter is college.
|
the line played an important part in this history of saint peter is college. the line played an important part in this history of saint peter is college. the line played an important part in this history of saint peter is college. the line played an important part in this history of saint peter is college.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the line played an important part in this history of saint peter is college', 'the line played an important part in this history of saint peter is college', 'the line played an important part in this history of saint peter is college', 'the line played an important part in this history of saint peter is college', 'the line played an important part in this history of saint peter is college']
|
|
[
"when citadel was also involved in intelligence work",
"when citad was also involved in intelligence work",
"when citer was also involved in intelligence work",
"when cterd was also involved in intelligence work",
"when citroet was also involved in intelligence work"
] |
vansittart was also involved in intelligence work
|
when citadel was also involved in intelligence work.
|
when citad was also involved in intelligence work. when citer was also involved in intelligence work. when cterd was also involved in intelligence work. when citroet was also involved in intelligence work.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when citadel was also involved in intelligence work', 'when citad was also involved in intelligence work', 'when citer was also involved in intelligence work', 'when cterd was also involved in intelligence work', 'when citroet was also involved in intelligence work']
|
|
[
"two individuals a male and a female standing in a firsted area around the top",
"two individuals a male and a female standing in a firsted area around the top",
"two individuals a male and a female standing in a forested area around the top",
"two individuals a male and a female standing in a forested area around the top",
"two individuals a man and a female standing in a firsted area around the top"
] |
two individuals a male and a female standing in a forested area around a tub
|
two individuals a male and a female standing in a firsted area around the top.
|
two individuals a male and a female standing in a firsted area around the top. two individuals a male and a female standing in a forested area around the top. two individuals a male and a female standing in a forested area around the top. two individuals a man and a female standing in a firsted area around the top.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two individuals a male and a female standing in a firsted area around the top', 'two individuals a male and a female standing in a firsted area around the top', 'two individuals a male and a female standing in a forested area around the top', 'two individuals a male and a female standing in a forested area around the top', 'two individuals a man and a female standing in a firsted area around the top']
|
|
[
"it is tasmania is largest private landowner",
"it is tasmania is largest private land owner",
"it is tasmanian is largest private landowner",
"it is tasmania is all just private land owner",
"it is tasmania is all just private landowner"
] |
it is tasmania is largest private land owner
|
it is tasmania is largest private landowner.
|
it is tasmania is largest private land owner. it is tasmanian is largest private landowner. it is tasmania is all just private land owner. it is tasmania is all just private landowner.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is tasmania is largest private landowner', 'it is tasmania is largest private land owner', 'it is tasmanian is largest private landowner', 'it is tasmania is all just private land owner', 'it is tasmania is all just private landowner']
|
|
[
"she was a fertility goddess of sacred ecstasy and sexual pleasure",
"she was a fertility goddess of sacred ecstasy and sexual pleasure",
"she was a fertility goddess of sacred ecstasy and sexual pleasure",
"she was a fertility goddess of sacred ecstasy and sexual pleasure",
"she was a fertility goddess of sacred ecstasy and sexual pleasure"
] |
she was a fertility goddess of sacred ecstasy and sexual pleasure
|
she was a fertility goddess of sacred ecstasy and sexual pleasure.
|
she was a fertility goddess of sacred ecstasy and sexual pleasure. she was a fertility goddess of sacred ecstasy and sexual pleasure. she was a fertility goddess of sacred ecstasy and sexual pleasure. she was a fertility goddess of sacred ecstasy and sexual pleasure.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she was a fertility goddess of sacred ecstasy and sexual pleasure', 'she was a fertility goddess of sacred ecstasy and sexual pleasure', 'she was a fertility goddess of sacred ecstasy and sexual pleasure', 'she was a fertility goddess of sacred ecstasy and sexual pleasure', 'she was a fertility goddess of sacred ecstasy and sexual pleasure']
|
|
[
"rather it contains many perceptrons that are organized into layers",
"rather it contains many perceptrons that organize tint layers",
"rather it contains many perceptrons that organize tintal layers",
"rather it contains many perceptrons that are organized in the layers",
"rather it contains many perceptrons that organize tintolayers"
] |
rather it contains many perceptrons that are organized into layers
|
rather it contains many perceptrons that are organized into layers.
|
rather it contains many perceptrons that organize tint layers. rather it contains many perceptrons that organize tintal layers. rather it contains many perceptrons that are organized in the layers. rather it contains many perceptrons that organize tintolayers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rather it contains many perceptrons that are organized into layers', 'rather it contains many perceptrons that organize tint layers', 'rather it contains many perceptrons that organize tintal layers', 'rather it contains many perceptrons that are organized in the layers', 'rather it contains many perceptrons that organize tintolayers']
|
|
[
"however its roots extend back to early efforts in public health engineering",
"however it is roots extend back to early efforts in public health engineering",
"however it is routes extend back to early efforts in public health engineering",
"however its routes extend back to early efforts in public health engineering",
"however it is roots extend back to early efforts in public health engineering"
] |
however its roots extend back to early efforts in public health engineering
|
however its roots extend back to early efforts in public health engineering.
|
however it is roots extend back to early efforts in public health engineering. however it is routes extend back to early efforts in public health engineering. however its routes extend back to early efforts in public health engineering. however it is roots extend back to early efforts in public health engineering.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however its roots extend back to early efforts in public health engineering', 'however it is roots extend back to early efforts in public health engineering', 'however it is routes extend back to early efforts in public health engineering', 'however its routes extend back to early efforts in public health engineering', 'however it is roots extend back to early efforts in public health engineering']
|
|
[
"he spent his researching years at columbia university",
"he spent his research years at columbia university",
"he spent his researches years at columbia university",
"he spent his the researching years at columbia university",
"he spent his researches years at columbia university"
] |
he spent his researching years at columbia university
|
he spent his researching years at columbia university.
|
he spent his research years at columbia university. he spent his researches years at columbia university. he spent his the researching years at columbia university. he spent his researches years at columbia university.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he spent his researching years at columbia university', 'he spent his research years at columbia university', 'he spent his researches years at columbia university', 'he spent his the researching years at columbia university', 'he spent his researches years at columbia university']
|
|
[
"echrevian itself is a road which runs north from the station to bogstad",
"echrovene itself is a road which runs north from the station to bogstad",
"acrovn itself is a road which runs north from the station to bogstad",
"acrovian itself is a road which runs north from the station to bogstad",
"ekraviyan itself is a road which runs north from the station to bogstad"
] |
ekraveien itself is a road which runs north from the station to bogstad
|
echrevian itself is a road which runs north from the station to bogstad.
|
echrovene itself is a road which runs north from the station to bogstad. acrovn itself is a road which runs north from the station to bogstad. acrovian itself is a road which runs north from the station to bogstad. ekraviyan itself is a road which runs north from the station to bogstad.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['echrevian itself is a road which runs north from the station to bogstad', 'echrovene itself is a road which runs north from the station to bogstad', 'acrovn itself is a road which runs north from the station to bogstad', 'acrovian itself is a road which runs north from the station to bogstad', 'ekraviyan itself is a road which runs north from the station to bogstad']
|
|
[
"this includes unlimited temporal presence",
"these includes unlimited temporal presence",
"this includes unlimited temporal presince",
"this includes unlimited temporal presences",
"this includes unlimited temporal prescence"
] |
this includes unlimited temporal presence
|
this includes unlimited temporal presence.
|
these includes unlimited temporal presence. this includes unlimited temporal presince. this includes unlimited temporal presences. this includes unlimited temporal prescence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this includes unlimited temporal presence', 'these includes unlimited temporal presence', 'this includes unlimited temporal presince', 'this includes unlimited temporal presences', 'this includes unlimited temporal prescence']
|
|
[
"rolson ho norfolk island community ho on the pine shopping center",
"rosenhorne norfolk island community horn the pine shopping center",
"rolson ho no four kyland community ho on the pine shopping center",
"rolson ho no for kyland community ho on the pine shopping center",
"rolson ho norfolk island community ho on the pine shopping center"
] |
rawson hall norfolk island community hall in the burnt pine shopping center
|
rolson ho norfolk island community ho on the pine shopping center.
|
rosenhorne norfolk island community horn the pine shopping center. rolson ho no four kyland community ho on the pine shopping center. rolson ho no for kyland community ho on the pine shopping center. rolson ho norfolk island community ho on the pine shopping center.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rolson ho norfolk island community ho on the pine shopping center', 'rosenhorne norfolk island community horn the pine shopping center', 'rolson ho no four kyland community ho on the pine shopping center', 'rolson ho no for kyland community ho on the pine shopping center', 'rolson ho norfolk island community ho on the pine shopping center']
|
|
[
"they specifically documented that this language is proprietary and is not fully documented",
"this specifically documented that this language is proprietary and is not fully documented",
"they have specifically documented that this language is proprietary and is not fully documented",
"they have specifically documented that this language is proprietary and is not fully documented",
"they specifically documented that this language is proprietary and is not fully documented"
] |
they specifically documented that this language is proprietary and is not fully documented
|
they specifically documented that this language is proprietary and is not fully documented.
|
this specifically documented that this language is proprietary and is not fully documented. they have specifically documented that this language is proprietary and is not fully documented. they have specifically documented that this language is proprietary and is not fully documented. they specifically documented that this language is proprietary and is not fully documented.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they specifically documented that this language is proprietary and is not fully documented', 'this specifically documented that this language is proprietary and is not fully documented', 'they have specifically documented that this language is proprietary and is not fully documented', 'they have specifically documented that this language is proprietary and is not fully documented', 'they specifically documented that this language is proprietary and is not fully documented']
|
|
[
"the stadium is located in entry or itself",
"the stadium is located in entry or itself",
"the stadium is like headed in entry or itself",
"the stadium is likened in entry or itself",
"the stadium is located in entry or itself"
] |
the stadium is located in andria itself
|
the stadium is located in entry or itself.
|
the stadium is located in entry or itself. the stadium is like headed in entry or itself. the stadium is likened in entry or itself. the stadium is located in entry or itself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stadium is located in entry or itself', 'the stadium is located in entry or itself', 'the stadium is like headed in entry or itself', 'the stadium is likened in entry or itself', 'the stadium is located in entry or itself']
|
|
[
"the main population is the atial people of the taiwanese aborigines",
"the main population is the atial people of the taiwanese aborigines",
"the main population is the attial people of the taiwanese aborigines",
"the main population is the attial people of the taiwanese aborigines",
"the main population is the danielle people of the taiwanese aborigines"
] |
the main population is the atayal people of the taiwanese aborigines
|
the main population is the atial people of the taiwanese aborigines.
|
the main population is the atial people of the taiwanese aborigines. the main population is the attial people of the taiwanese aborigines. the main population is the attial people of the taiwanese aborigines. the main population is the danielle people of the taiwanese aborigines.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main population is the atial people of the taiwanese aborigines', 'the main population is the atial people of the taiwanese aborigines', 'the main population is the attial people of the taiwanese aborigines', 'the main population is the attial people of the taiwanese aborigines', 'the main population is the danielle people of the taiwanese aborigines']
|
|
[
"davis like robert was a welshman originally from mofford haven in pembrokeshire",
"davis like robert was a welshman originally from norford haven in pembrokeshire",
"davis like robert was a welshman originally from newford haven in pembrokeshire",
"davis like robert was a welshman originally for mofford haven in pembrokeshire",
"davos like robert was a welshman originally from mofford haven in pembrokeshire"
] |
davis like roberts was a welshman originally from milford haven in pembrokeshire
|
davis like robert was a welshman originally from mofford haven in pembrokeshire.
|
davis like robert was a welshman originally from norford haven in pembrokeshire. davis like robert was a welshman originally from newford haven in pembrokeshire. davis like robert was a welshman originally for mofford haven in pembrokeshire. davos like robert was a welshman originally from mofford haven in pembrokeshire.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['davis like robert was a welshman originally from mofford haven in pembrokeshire', 'davis like robert was a welshman originally from norford haven in pembrokeshire', 'davis like robert was a welshman originally from newford haven in pembrokeshire', 'davis like robert was a welshman originally for mofford haven in pembrokeshire', 'davos like robert was a welshman originally from mofford haven in pembrokeshire']
|
|
[
"all seats were single member ones from this time",
"all states were single member ones from this time",
"all seats were single member ones from this time",
"all states were single member ones from this time",
"all seats were single member ones from this time"
] |
all seats were single member ones from this time
|
all seats were single member ones from this time.
|
all states were single member ones from this time. all seats were single member ones from this time. all states were single member ones from this time. all seats were single member ones from this time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all seats were single member ones from this time', 'all states were single member ones from this time', 'all seats were single member ones from this time', 'all states were single member ones from this time', 'all seats were single member ones from this time']
|
|
[
"the following are a few commonly used such series",
"the following are a few commonly used such theories",
"the following are if you commonly used such series",
"the following are if you commonly used such theories",
"the following are few commonly used such series"
] |
the following are a few commonly used such theories
|
the following are a few commonly used such series.
|
the following are a few commonly used such theories. the following are if you commonly used such series. the following are if you commonly used such theories. the following are few commonly used such series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following are a few commonly used such series', 'the following are a few commonly used such theories', 'the following are if you commonly used such series', 'the following are if you commonly used such theories', 'the following are few commonly used such series']
|
|
[
"public studies are far more common",
"public studies of far more common",
"public charities are far more common",
"public studies are far more common",
"public charities of far more common"
] |
public charities are far more common
|
public studies are far more common.
|
public studies of far more common. public charities are far more common. public studies are far more common. public charities of far more common.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['public studies are far more common', 'public studies of far more common', 'public charities are far more common', 'public studies are far more common', 'public charities of far more common']
|
|
[
"the chairman of torwe council wears the jane of office",
"the chairman of torwe council veers the jane of office",
"the chairman of torwe council veers the jane of office",
"the chairman of torwe council veers the jane of office",
"the chairman of torwe council wears the jane of office"
] |
the chairman of torbay council wears the chain of office
|
the chairman of torwe council wears the jane of office.
|
the chairman of torwe council veers the jane of office. the chairman of torwe council veers the jane of office. the chairman of torwe council veers the jane of office. the chairman of torwe council wears the jane of office.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the chairman of torwe council wears the jane of office', 'the chairman of torwe council veers the jane of office', 'the chairman of torwe council veers the jane of office', 'the chairman of torwe council veers the jane of office', 'the chairman of torwe council wears the jane of office']
|
|
[
"kessler has not presented himself to give witness",
"kesla has not presented himself to give witness",
"kessla has not presented himself to give witness",
"kaisala has not presented himself to give witness",
"kessler has not presented himself to give witness"
] |
kessler has not presented himself to give witness
|
kessler has not presented himself to give witness.
|
kesla has not presented himself to give witness. kessla has not presented himself to give witness. kaisala has not presented himself to give witness. kessler has not presented himself to give witness.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kessler has not presented himself to give witness', 'kesla has not presented himself to give witness', 'kessla has not presented himself to give witness', 'kaisala has not presented himself to give witness', 'kessler has not presented himself to give witness']
|
|
[
"the north side is not an official or administrative area",
"the not side is not an official or administrative area",
"the not side is not an official or administrative area",
"the not side is not an official or administrative area",
"the north side is not an official or administrative area"
] |
the northside is not an official or administrative area
|
the north side is not an official or administrative area.
|
the not side is not an official or administrative area. the not side is not an official or administrative area. the not side is not an official or administrative area. the north side is not an official or administrative area.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the north side is not an official or administrative area', 'the not side is not an official or administrative area', 'the not side is not an official or administrative area', 'the not side is not an official or administrative area', 'the north side is not an official or administrative area']
|
|
[
"salonadans make their homes in bushy areas in forests",
"saladons make their homes in bushy areas in forests",
"saladans make their homes in bushy areas in forests",
"salonadans make their homes in bushel areas in forests",
"salon adams make their homes in bushy areas in forests"
] |
solenodons make their homes in bushy areas in forests
|
salonadans make their homes in bushy areas in forests.
|
saladons make their homes in bushy areas in forests. saladans make their homes in bushy areas in forests. salonadans make their homes in bushel areas in forests. salon adams make their homes in bushy areas in forests.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['salonadans make their homes in bushy areas in forests', 'saladons make their homes in bushy areas in forests', 'saladans make their homes in bushy areas in forests', 'salonadans make their homes in bushel areas in forests', 'salon adams make their homes in bushy areas in forests']
|
|
[
"other authors report that greater symptoms throughout their diagnosis led to greater risk",
"other authors report that greater symptoms throughout their diagnosis lead to greater risk",
"other authors report that greater symptoms throughout their diagnosis let the greater risk",
"other authors report that greater symptoms throughout their diagnosis led to greater risk",
"other author is report that greater symptoms throughout their diagnosis led to greater risk"
] |
other authors report that greater symptoms throughout their diagnosis led to greater risk
|
other authors report that greater symptoms throughout their diagnosis led to greater risk.
|
other authors report that greater symptoms throughout their diagnosis lead to greater risk. other authors report that greater symptoms throughout their diagnosis let the greater risk. other authors report that greater symptoms throughout their diagnosis led to greater risk. other author is report that greater symptoms throughout their diagnosis led to greater risk.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other authors report that greater symptoms throughout their diagnosis led to greater risk', 'other authors report that greater symptoms throughout their diagnosis lead to greater risk', 'other authors report that greater symptoms throughout their diagnosis let the greater risk', 'other authors report that greater symptoms throughout their diagnosis led to greater risk', 'other author is report that greater symptoms throughout their diagnosis led to greater risk']
|
|
[
"it has also been revealed that they intended removing flats from cook airport",
"it has also been revealed that they intended removing flats from cook airport",
"it has also been revealed that they intended removing flats from cook airport",
"it has also been revealed that they intended removing flats from coug airport",
"it has also been revealed that they intended removing flats from coug airport"
] |
it has also been revealed that they intended removing flights from cork airport
|
it has also been revealed that they intended removing flats from cook airport.
|
it has also been revealed that they intended removing flats from cook airport. it has also been revealed that they intended removing flats from cook airport. it has also been revealed that they intended removing flats from coug airport. it has also been revealed that they intended removing flats from coug airport.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has also been revealed that they intended removing flats from cook airport', 'it has also been revealed that they intended removing flats from cook airport', 'it has also been revealed that they intended removing flats from cook airport', 'it has also been revealed that they intended removing flats from coug airport', 'it has also been revealed that they intended removing flats from coug airport']
|
|
[
"later a small tax was established to provide for simple road repairs",
"later a small tax was assessed to provide for simple road repairs",
"later a small tax was established to provide for simple road repairs",
"later a small tax was assessed to provide for simple road repairs",
"later a small text was established to provide for simple road repairs"
] |
later a small tax was assessed to provide for simple road repairs
|
later a small tax was established to provide for simple road repairs.
|
later a small tax was assessed to provide for simple road repairs. later a small tax was established to provide for simple road repairs. later a small tax was assessed to provide for simple road repairs. later a small text was established to provide for simple road repairs.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['later a small tax was established to provide for simple road repairs', 'later a small tax was assessed to provide for simple road repairs', 'later a small tax was established to provide for simple road repairs', 'later a small tax was assessed to provide for simple road repairs', 'later a small text was established to provide for simple road repairs']
|
|
[
"the teams compete annually for the canadian bowl",
"the teams compete annually for the canadian bowl",
"the teams compete annually for the canadian ball",
"the team can be annually for the canadian bowl",
"the teams can be annually for the canadian bowl"
] |
the teams compete annually for the canadian bowl
|
the teams compete annually for the canadian bowl.
|
the teams compete annually for the canadian bowl. the teams compete annually for the canadian ball. the team can be annually for the canadian bowl. the teams can be annually for the canadian bowl.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the teams compete annually for the canadian bowl', 'the teams compete annually for the canadian bowl', 'the teams compete annually for the canadian ball', 'the team can be annually for the canadian bowl', 'the teams can be annually for the canadian bowl']
|
|
[
"the comic also draws from numerous mythologies and historical periods",
"the comic also draws from numerous mythologies and historical periods",
"the comic also draws from numerous mythologies and historical periods",
"the comic also draws from numerous mythologies and historical periods",
"the comic also draws from numerous mythologies and historical periods"
] |
the comic also draws from numerous mythologies and historical periods
|
the comic also draws from numerous mythologies and historical periods.
|
the comic also draws from numerous mythologies and historical periods. the comic also draws from numerous mythologies and historical periods. the comic also draws from numerous mythologies and historical periods. the comic also draws from numerous mythologies and historical periods.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the comic also draws from numerous mythologies and historical periods', 'the comic also draws from numerous mythologies and historical periods', 'the comic also draws from numerous mythologies and historical periods', 'the comic also draws from numerous mythologies and historical periods', 'the comic also draws from numerous mythologies and historical periods']
|
|
[
"the campus is named after the old farm blinden from north blendarven",
"the campus is named after the old farm blinden from north blindarven",
"the campus is named after the old farm blindern from north blindarven",
"the campus is named after the old farm blinden from norse blindarven",
"the campus is named after the old farm blinden from north blinden darwin"
] |
the campus is named after the old farm blindern from norse blindarvin
|
the campus is named after the old farm blinden from north blendarven.
|
the campus is named after the old farm blinden from north blindarven. the campus is named after the old farm blindern from north blindarven. the campus is named after the old farm blinden from norse blindarven. the campus is named after the old farm blinden from north blinden darwin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the campus is named after the old farm blinden from north blendarven', 'the campus is named after the old farm blinden from north blindarven', 'the campus is named after the old farm blindern from north blindarven', 'the campus is named after the old farm blinden from norse blindarven', 'the campus is named after the old farm blinden from north blinden darwin']
|
|
[
"mont blanc is also just visible",
"montblanc is also just visible",
"mondelank is also just visible",
"mount blank is also just visible",
"monte blanc is also just visible"
] |
mont blanc is also just visible
|
mont blanc is also just visible.
|
montblanc is also just visible. mondelank is also just visible. mount blank is also just visible. monte blanc is also just visible.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mont blanc is also just visible', 'montblanc is also just visible', 'mondelank is also just visible', 'mount blank is also just visible', 'monte blanc is also just visible']
|
|
[
"according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando",
"according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando",
"according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando",
"according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando",
"according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando"
] |
according to sejong sillok goryeosa and mangi yoram usan guk consisted of ulleung do and usan do
|
according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando.
|
according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando. according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando. according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando. according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando', 'according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando', 'according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando', 'according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando', 'according to sejong silok goryosa and mangi yoram usanguk consisted of uliangdo and usando']
|
|
[
"and the only solution to this big problem is to finish this novel",
"and the only solution to this big problem is to finish this novel",
"and the only solution to this big problem is to finish this novel",
"the only solution to this big problem is to finish this novel",
"the only solution to this big problem is to finish this novel"
] |
and the only solution to this big problem is to finish his novel
|
and the only solution to this big problem is to finish this novel.
|
and the only solution to this big problem is to finish this novel. and the only solution to this big problem is to finish this novel. the only solution to this big problem is to finish this novel. the only solution to this big problem is to finish this novel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and the only solution to this big problem is to finish this novel', 'and the only solution to this big problem is to finish this novel', 'and the only solution to this big problem is to finish this novel', 'the only solution to this big problem is to finish this novel', 'the only solution to this big problem is to finish this novel']
|
|
[
"he replied sir i have not yet begun to fight",
"he replied sir i have not yet begun to fight",
"he replied sir i have not yet begun to fight",
"he replied sir i have not yet begun to fight",
"he replied sir i have not yet begun to fight"
] |
he replied sir i have not yet begun to fight
|
he replied sir i have not yet begun to fight.
|
he replied sir i have not yet begun to fight. he replied sir i have not yet begun to fight. he replied sir i have not yet begun to fight. he replied sir i have not yet begun to fight.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he replied sir i have not yet begun to fight', 'he replied sir i have not yet begun to fight', 'he replied sir i have not yet begun to fight', 'he replied sir i have not yet begun to fight', 'he replied sir i have not yet begun to fight']
|
|
[
"ironically the community is labeling of sula as evil actually improves their own lives",
"ironically the community is labeling of sula as evil actually improves their own lives",
"ironically the community is labeling of sula as evil actually improves their own lives",
"ironically the community is labeling of sula as evil actually improves their own lives",
"ironically the community is labeling of solar as evil actually improves their own lives"
] |
ironically the community is labeling of sula as evil actually improves their own lives
|
ironically the community is labeling of sula as evil actually improves their own lives.
|
ironically the community is labeling of sula as evil actually improves their own lives. ironically the community is labeling of sula as evil actually improves their own lives. ironically the community is labeling of sula as evil actually improves their own lives. ironically the community is labeling of solar as evil actually improves their own lives.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ironically the community is labeling of sula as evil actually improves their own lives', 'ironically the community is labeling of sula as evil actually improves their own lives', 'ironically the community is labeling of sula as evil actually improves their own lives', 'ironically the community is labeling of sula as evil actually improves their own lives', 'ironically the community is labeling of solar as evil actually improves their own lives']
|
|
[
"the remaining picks and the phone is phone fail to make an impact",
"the remaining peaks and the phones from failed to make an impact",
"the remaining picks and the phone is phone failed to make an impact",
"the remaining pigs and the food zone fail to make an impact",
"the remaining picks and the phones from failed to make an impact"
] |
the remaining picks in the first round failed to make an impact
|
the remaining picks and the phone is phone fail to make an impact.
|
the remaining peaks and the phones from failed to make an impact. the remaining picks and the phone is phone failed to make an impact. the remaining pigs and the food zone fail to make an impact. the remaining picks and the phones from failed to make an impact.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the remaining picks and the phone is phone fail to make an impact', 'the remaining peaks and the phones from failed to make an impact', 'the remaining picks and the phone is phone failed to make an impact', 'the remaining pigs and the food zone fail to make an impact', 'the remaining picks and the phones from failed to make an impact']
|
|
[
"those infected tend to have enlarged non tender but moderately painful glands",
"those infected tend to have enlarged non tender but moderately painful glands",
"those infected tend to have enlarged nontender but moderately painful glands",
"those infected tend to have enlarged non tender but moderately painful glands",
"those infected tend to have enlarged nontender but moderately painful glands"
] |
those infected tend to have enlarged nontender but moderately painful glands
|
those infected tend to have enlarged non tender but moderately painful glands.
|
those infected tend to have enlarged non tender but moderately painful glands. those infected tend to have enlarged nontender but moderately painful glands. those infected tend to have enlarged non tender but moderately painful glands. those infected tend to have enlarged nontender but moderately painful glands.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['those infected tend to have enlarged non tender but moderately painful glands', 'those infected tend to have enlarged non tender but moderately painful glands', 'those infected tend to have enlarged nontender but moderately painful glands', 'those infected tend to have enlarged non tender but moderately painful glands', 'those infected tend to have enlarged nontender but moderately painful glands']
|
|
[
"more and more publications are modernized in spelling",
"more and more publications are modernized in spelling",
"more publications are modernized in spelling",
"more publications are modernized in spelling",
"more publications are modernized in spelling"
] |
more and more publications are modernizing spelling
|
more and more publications are modernized in spelling.
|
more and more publications are modernized in spelling. more publications are modernized in spelling. more publications are modernized in spelling. more publications are modernized in spelling.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more and more publications are modernized in spelling', 'more and more publications are modernized in spelling', 'more publications are modernized in spelling', 'more publications are modernized in spelling', 'more publications are modernized in spelling']
|
|
[
"although damaged the turbanacle is the earliest extent example of benevolence style",
"although damaged the turbanacle is the earliest extent example of bernevelle is style",
"although damaged the turbanacle is the earliest extent example of bernevel is style",
"although damaged the turbanacle is the earliest extent example of burn evils style",
"all the damage the turbanacle is the earliest extent example of burn evils style"
] |
although damaged the tabernacle is the earliest extant example of berneval is style
|
although damaged the turbanacle is the earliest extent example of benevolence style.
|
although damaged the turbanacle is the earliest extent example of bernevelle is style. although damaged the turbanacle is the earliest extent example of bernevel is style. although damaged the turbanacle is the earliest extent example of burn evils style. all the damage the turbanacle is the earliest extent example of burn evils style.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although damaged the turbanacle is the earliest extent example of benevolence style', 'although damaged the turbanacle is the earliest extent example of bernevelle is style', 'although damaged the turbanacle is the earliest extent example of bernevel is style', 'although damaged the turbanacle is the earliest extent example of burn evils style', 'all the damage the turbanacle is the earliest extent example of burn evils style']
|
|
[
"the town is served by farrinnell airport",
"the town is served by firenall airport",
"the town is served by farrona airport",
"the town is served by faerinal airport",
"the town is served by farronal airport"
] |
the town is served by faranah airport
|
the town is served by farrinnell airport.
|
the town is served by firenall airport. the town is served by farrona airport. the town is served by faerinal airport. the town is served by farronal airport.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the town is served by farrinnell airport', 'the town is served by firenall airport', 'the town is served by farrona airport', 'the town is served by faerinal airport', 'the town is served by farronal airport']
|
|
[
"godwin is an instrument rated private pilot",
"godwin is an instrument rated private pilot",
"godwin is an instrument rated private pilot",
"godwin is an instrument rated private pilot",
"godwin is an instrument rated private pilot"
] |
godwin is an instrument rated private pilot
|
godwin is an instrument rated private pilot.
|
godwin is an instrument rated private pilot. godwin is an instrument rated private pilot. godwin is an instrument rated private pilot. godwin is an instrument rated private pilot.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['godwin is an instrument rated private pilot', 'godwin is an instrument rated private pilot', 'godwin is an instrument rated private pilot', 'godwin is an instrument rated private pilot', 'godwin is an instrument rated private pilot']
|
|
[
"in the third republic the monogist is further reactionary faction later renamed conservative",
"in the third republic the monogist is further reactionary fraction later renamed conservative",
"in the third republic the monogist is further reactionary affection later renamed conservative",
"in the third republic the monogist is further reactionary faction later renamed conceivating",
"in the third republic the monogist is further reactionary faction later renamed conservative"
] |
in the third republic the monarchists were the reactionary faction later renamed conservative
|
in the third republic the monogist is further reactionary faction later renamed conservative.
|
in the third republic the monogist is further reactionary fraction later renamed conservative. in the third republic the monogist is further reactionary affection later renamed conservative. in the third republic the monogist is further reactionary faction later renamed conceivating. in the third republic the monogist is further reactionary faction later renamed conservative.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the third republic the monogist is further reactionary faction later renamed conservative', 'in the third republic the monogist is further reactionary fraction later renamed conservative', 'in the third republic the monogist is further reactionary affection later renamed conservative', 'in the third republic the monogist is further reactionary faction later renamed conceivating', 'in the third republic the monogist is further reactionary faction later renamed conservative']
|
|
[
"once again his character was cured off at the end of the season",
"once again his character was cured off at the end of the season",
"once again his character was cured of at the end of the season",
"once again his character was cured of at the end of the season",
"once again his character was cured of at the end of the season"
] |
once again his character was killed off at the end of the season
|
once again his character was cured off at the end of the season.
|
once again his character was cured off at the end of the season. once again his character was cured of at the end of the season. once again his character was cured of at the end of the season. once again his character was cured of at the end of the season.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['once again his character was cured off at the end of the season', 'once again his character was cured off at the end of the season', 'once again his character was cured of at the end of the season', 'once again his character was cured of at the end of the season', 'once again his character was cured of at the end of the season']
|
|
[
"the prime minister can serve as the head of multiple cabinets",
"the prime minister can serve us the head of multiple cabinets",
"the prime minister conserves the head of multiple cabinets",
"the prime minister can serve us as the head of multiple cabinets",
"the prime minister can serve us in the head of multiple cabinets"
] |
a prime minister can serve as the head of multiple cabinets
|
the prime minister can serve as the head of multiple cabinets.
|
the prime minister can serve us the head of multiple cabinets. the prime minister conserves the head of multiple cabinets. the prime minister can serve us as the head of multiple cabinets. the prime minister can serve us in the head of multiple cabinets.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the prime minister can serve as the head of multiple cabinets', 'the prime minister can serve us the head of multiple cabinets', 'the prime minister conserves the head of multiple cabinets', 'the prime minister can serve us as the head of multiple cabinets', 'the prime minister can serve us in the head of multiple cabinets']
|
|
[
"in antiquity the order of the lower plants was not universally agreed",
"in antiquity the order of the lower plants was not universally agreed",
"in ambiguity the order of the lower plants was not universally agreed",
"in antiguity the order of the lower plants was not universally agreed",
"integrity the order of the lower plants was not universally agreed"
] |
in antiquity the order of the lower planets was not universally agreed
|
in antiquity the order of the lower plants was not universally agreed.
|
in antiquity the order of the lower plants was not universally agreed. in ambiguity the order of the lower plants was not universally agreed. in antiguity the order of the lower plants was not universally agreed. integrity the order of the lower plants was not universally agreed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in antiquity the order of the lower plants was not universally agreed', 'in antiquity the order of the lower plants was not universally agreed', 'in ambiguity the order of the lower plants was not universally agreed', 'in antiguity the order of the lower plants was not universally agreed', 'integrity the order of the lower plants was not universally agreed']
|
|
[
"lansonal learning is a big option",
"lansonal learning is a big lesson",
"lonsonal learning is a big option",
"lansonal learning is a peg of sun",
"lonsonal learning is a big lesson"
] |
lon sernan lon is a tech officer
|
lansonal learning is a big option.
|
lansonal learning is a big lesson. lonsonal learning is a big option. lansonal learning is a peg of sun. lonsonal learning is a big lesson.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lansonal learning is a big option', 'lansonal learning is a big lesson', 'lonsonal learning is a big option', 'lansonal learning is a peg of sun', 'lonsonal learning is a big lesson']
|
|
[
"it was the first local planetarium for the popularization of astronomy and space science",
"it was the first local planetarium for the popularization of astronomy and space science",
"it was the first local planetarium for the popularization of astronomy and space science",
"it was the first local planetarium for the popularization of astronomy and space science",
"it was the first local planetarium for the popularization of astronomy and space science"
] |
it was the first local planetarium for the popularization of astronomy and space science
|
it was the first local planetarium for the popularization of astronomy and space science.
|
it was the first local planetarium for the popularization of astronomy and space science. it was the first local planetarium for the popularization of astronomy and space science. it was the first local planetarium for the popularization of astronomy and space science. it was the first local planetarium for the popularization of astronomy and space science.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the first local planetarium for the popularization of astronomy and space science', 'it was the first local planetarium for the popularization of astronomy and space science', 'it was the first local planetarium for the popularization of astronomy and space science', 'it was the first local planetarium for the popularization of astronomy and space science', 'it was the first local planetarium for the popularization of astronomy and space science']
|
|
[
"co star david paymer received an academy award nomination for best supporting actor",
"co star david pamer received an academy award nomination for best supporting actor",
"costar david paymer received an academy award nomination for best supporting actor",
"co star david paymer received an academy award nomination for best supporting actor",
"co star david paymer received an academy award nomination for best supporting actor"
] |
co star david paymer received an academy award nomination for best supporting actor
|
co star david paymer received an academy award nomination for best supporting actor.
|
co star david pamer received an academy award nomination for best supporting actor. costar david paymer received an academy award nomination for best supporting actor. co star david paymer received an academy award nomination for best supporting actor. co star david paymer received an academy award nomination for best supporting actor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['co star david paymer received an academy award nomination for best supporting actor', 'co star david pamer received an academy award nomination for best supporting actor', 'costar david paymer received an academy award nomination for best supporting actor', 'co star david paymer received an academy award nomination for best supporting actor', 'co star david paymer received an academy award nomination for best supporting actor']
|
|
[
"this was thanks to gold being discovered and the building of gold mines",
"this was thanks to gold being discovered and the building of old mines",
"this was thanks to gold being discovered and the building of gold mines",
"this was thanks to gold being discovered and the building of gold mines",
"this was thanks to gold being discovered and the building of old minds"
] |
this was thanks to gold being discovered and the building of gold mines
|
this was thanks to gold being discovered and the building of gold mines.
|
this was thanks to gold being discovered and the building of old mines. this was thanks to gold being discovered and the building of gold mines. this was thanks to gold being discovered and the building of gold mines. this was thanks to gold being discovered and the building of old minds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was thanks to gold being discovered and the building of gold mines', 'this was thanks to gold being discovered and the building of old mines', 'this was thanks to gold being discovered and the building of gold mines', 'this was thanks to gold being discovered and the building of gold mines', 'this was thanks to gold being discovered and the building of old minds']
|
|
[
"willier he said quite an intense",
"velier he said quite an intense",
"valje he said quite an intense",
"well here he said quite an intense",
"valier he said quite an intense"
] |
will yer he said quiet and intense
|
willier he said quite an intense.
|
velier he said quite an intense. valje he said quite an intense. well here he said quite an intense. valier he said quite an intense.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['willier he said quite an intense', 'velier he said quite an intense', 'valje he said quite an intense', 'well here he said quite an intense', 'valier he said quite an intense']
|
|
[
"he was a graduate of armstrong high school",
"he was in graduate of armstrong high school",
"he was a graduate of mount strong high school",
"he was a graduate of monstron high school",
"he was a graduate of my strong high school"
] |
he was a graduate of armstrong high school
|
he was a graduate of armstrong high school.
|
he was in graduate of armstrong high school. he was a graduate of mount strong high school. he was a graduate of monstron high school. he was a graduate of my strong high school.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was a graduate of armstrong high school', 'he was in graduate of armstrong high school', 'he was a graduate of mount strong high school', 'he was a graduate of monstron high school', 'he was a graduate of my strong high school']
|
|
[
"coway led the steelists to super bowl twice winning one",
"coway led the steelists to super bowl twice winning one",
"huawei led the steelist is super bowl twice winning one",
"kauai led the steelists to super bowl twice winning one",
"kawaii led the steelist super bowl twice winning one"
] |
cowher led the steelers to the super bowl twice winning one
|
coway led the steelists to super bowl twice winning one.
|
coway led the steelists to super bowl twice winning one. huawei led the steelist is super bowl twice winning one. kauai led the steelists to super bowl twice winning one. kawaii led the steelist super bowl twice winning one.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['coway led the steelists to super bowl twice winning one', 'coway led the steelists to super bowl twice winning one', 'huawei led the steelist is super bowl twice winning one', 'kauai led the steelists to super bowl twice winning one', 'kawaii led the steelist super bowl twice winning one']
|
|
[
"after an audience the state official would bow three times to the king",
"after an audience the state official would bow three times to the king",
"after an audience the state official would bow three times to the king",
"after an audience a state official would bow three times to the king",
"after an audience the state official will bow three times to the king"
] |
after an audience the state official would bow three times to the king
|
after an audience the state official would bow three times to the king.
|
after an audience the state official would bow three times to the king. after an audience the state official would bow three times to the king. after an audience a state official would bow three times to the king. after an audience the state official will bow three times to the king.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after an audience the state official would bow three times to the king', 'after an audience the state official would bow three times to the king', 'after an audience the state official would bow three times to the king', 'after an audience a state official would bow three times to the king', 'after an audience the state official will bow three times to the king']
|
|
[
"he studied industrial design at the university of pride at vienna",
"he studied industrial design at the university applied arts vienna",
"he studied industrial design at the university of applied arts vienna",
"he studied industrial design at the university of applied arts vienna",
"he studied industrial design at the university applied art to vienna"
] |
he studied industrial design at the university of applied arts vienna
|
he studied industrial design at the university of pride at vienna.
|
he studied industrial design at the university applied arts vienna. he studied industrial design at the university of applied arts vienna. he studied industrial design at the university of applied arts vienna. he studied industrial design at the university applied art to vienna.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he studied industrial design at the university of pride at vienna', 'he studied industrial design at the university applied arts vienna', 'he studied industrial design at the university of applied arts vienna', 'he studied industrial design at the university of applied arts vienna', 'he studied industrial design at the university applied art to vienna']
|
|
[
"he subsequently followed his uncle to set armor where he studied mathematics",
"he subsequently followed his uncle to set armor where his studied mathematics",
"he subsequently followed his uncle to saint alma where he studied mathematics",
"he subsequently followed his uncle to saint alma where his studied mathematics",
"he subsequently followed his uncle to set armor where his studied mathematics"
] |
he subsequently followed his uncle to saint omer where he studied mathematics
|
he subsequently followed his uncle to set armor where he studied mathematics.
|
he subsequently followed his uncle to set armor where his studied mathematics. he subsequently followed his uncle to saint alma where he studied mathematics. he subsequently followed his uncle to saint alma where his studied mathematics. he subsequently followed his uncle to set armor where his studied mathematics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he subsequently followed his uncle to set armor where he studied mathematics', 'he subsequently followed his uncle to set armor where his studied mathematics', 'he subsequently followed his uncle to saint alma where he studied mathematics', 'he subsequently followed his uncle to saint alma where his studied mathematics', 'he subsequently followed his uncle to set armor where his studied mathematics']
|
|
[
"alpha diversity can be calculated in both extinct and extinct landscapes",
"alpha diversity can be calculated in both extinct and extant landscapes",
"alpha diversity can be calculated in both extinct and extend landscapes",
"alpha diversity can be calculated in both extinct and extant landscapes",
"alpha diversity can be calculated in both extinct and extend landscapes"
] |
alpha diversity can be calculated in both extinct and extant landscapes
|
alpha diversity can be calculated in both extinct and extinct landscapes.
|
alpha diversity can be calculated in both extinct and extant landscapes. alpha diversity can be calculated in both extinct and extend landscapes. alpha diversity can be calculated in both extinct and extant landscapes. alpha diversity can be calculated in both extinct and extend landscapes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['alpha diversity can be calculated in both extinct and extinct landscapes', 'alpha diversity can be calculated in both extinct and extant landscapes', 'alpha diversity can be calculated in both extinct and extend landscapes', 'alpha diversity can be calculated in both extinct and extant landscapes', 'alpha diversity can be calculated in both extinct and extend landscapes']
|
|
[
"this consists of three hundred and seventy levels lengths",
"this consists of three hundred and seventy levels lens",
"this consists of three seven seven seven lengths",
"this consists of three seven seven seven lines",
"this consists of three hundred and seventy levels lends"
] |
this consists of three seven syllable lines
|
this consists of three hundred and seventy levels lengths.
|
this consists of three hundred and seventy levels lens. this consists of three seven seven seven lengths. this consists of three seven seven seven lines. this consists of three hundred and seventy levels lends.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this consists of three hundred and seventy levels lengths', 'this consists of three hundred and seventy levels lens', 'this consists of three seven seven seven lengths', 'this consists of three seven seven seven lines', 'this consists of three hundred and seventy levels lends']
|
|
[
"he was one of the founders of the kitsbots hamilton and loa galea lee",
"he was one of the founders of the kitsbots hamilton and loa gallioli",
"he was one of the founders of the kitsbots hanaton in loha galilee",
"he was one of the founders of the kitsbots hamilton and lowa galilei",
"he was one of the founders of the kitsbots hamilton and loha gallioli"
] |
he was one of the founders of the kibbutz hanaton in lower galilee
|
he was one of the founders of the kitsbots hamilton and loa galea lee.
|
he was one of the founders of the kitsbots hamilton and loa gallioli. he was one of the founders of the kitsbots hanaton in loha galilee. he was one of the founders of the kitsbots hamilton and lowa galilei. he was one of the founders of the kitsbots hamilton and loha gallioli.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was one of the founders of the kitsbots hamilton and loa galea lee', 'he was one of the founders of the kitsbots hamilton and loa gallioli', 'he was one of the founders of the kitsbots hanaton in loha galilee', 'he was one of the founders of the kitsbots hamilton and lowa galilei', 'he was one of the founders of the kitsbots hamilton and loha gallioli']
|
|
[
"the show is now broadcast to live",
"the show is now broadcasts to live",
"the show is now broadcast to life",
"the show is now broadcast live",
"the show is now broadcasted live"
] |
the show is now broadcast live
|
the show is now broadcast to live.
|
the show is now broadcasts to live. the show is now broadcast to life. the show is now broadcast live. the show is now broadcasted live.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the show is now broadcast to live', 'the show is now broadcasts to live', 'the show is now broadcast to life', 'the show is now broadcast live', 'the show is now broadcasted live']
|
|
[
"the poor bug is dead",
"the poor bug is dead",
"the poor bug is dead",
"the poor bug is dead",
"the poor bug is dead"
] |
the poor bugger is dead
|
the poor bug is dead.
|
the poor bug is dead. the poor bug is dead. the poor bug is dead. the poor bug is dead.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the poor bug is dead', 'the poor bug is dead', 'the poor bug is dead', 'the poor bug is dead', 'the poor bug is dead']
|
|
[
"he never married and his title died with him",
"he never married and his title died with him",
"he never married and his title died with him",
"he never married and his title died with him",
"he never married and his title died with him"
] |
he never married and his title died with him
|
he never married and his title died with him.
|
he never married and his title died with him. he never married and his title died with him. he never married and his title died with him. he never married and his title died with him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he never married and his title died with him', 'he never married and his title died with him', 'he never married and his title died with him', 'he never married and his title died with him', 'he never married and his title died with him']
|
|
[
"but doctor gave her only two years to live",
"but doctor gave her only two years to live",
"her doctor gave her only two years to live",
"the doctor gave her only two years to live",
"but doctor gave her only two years to live"
] |
her doctor gave her only two years to live
|
but doctor gave her only two years to live.
|
but doctor gave her only two years to live. her doctor gave her only two years to live. the doctor gave her only two years to live. but doctor gave her only two years to live.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but doctor gave her only two years to live', 'but doctor gave her only two years to live', 'her doctor gave her only two years to live', 'the doctor gave her only two years to live', 'but doctor gave her only two years to live']
|
|
[
"the first such race may have been held in yarmlet in that year",
"the first such race may have been held in yarmouth in that year",
"the first such race may have been held in yarmlet in that year",
"the first such race may have been held in yarmouth in that year",
"the first such race may have been held in yarmouth in that year"
] |
the first such race may have been held in yarmouth in that year
|
the first such race may have been held in yarmlet in that year.
|
the first such race may have been held in yarmouth in that year. the first such race may have been held in yarmlet in that year. the first such race may have been held in yarmouth in that year. the first such race may have been held in yarmouth in that year.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the first such race may have been held in yarmlet in that year', 'the first such race may have been held in yarmouth in that year', 'the first such race may have been held in yarmlet in that year', 'the first such race may have been held in yarmouth in that year', 'the first such race may have been held in yarmouth in that year']
|
|
[
"it has been subjected to a recent investigation to ascertain its exact location",
"it has been subjected to a recent investigation to ascertain it is exact location",
"it has been subjected to a recent investigation to ascertain its exact location",
"it has been subjected to a recent investigation to ascertain its exact location",
"it has been subjected to a recent investigation to ascertain its exact location"
] |
it has been subjected to a recent investigation to ascertain its exact location
|
it has been subjected to a recent investigation to ascertain its exact location.
|
it has been subjected to a recent investigation to ascertain it is exact location. it has been subjected to a recent investigation to ascertain its exact location. it has been subjected to a recent investigation to ascertain its exact location. it has been subjected to a recent investigation to ascertain its exact location.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has been subjected to a recent investigation to ascertain its exact location', 'it has been subjected to a recent investigation to ascertain it is exact location', 'it has been subjected to a recent investigation to ascertain its exact location', 'it has been subjected to a recent investigation to ascertain its exact location', 'it has been subjected to a recent investigation to ascertain its exact location']
|
|
[
"special episodes were produced occasionally",
"special episodes are produced occasionally",
"special opposites were produced occasionally",
"special episodes are produced occasionally",
"special episodes are produced occasionally"
] |
special episodes were produced occasionally
|
special episodes were produced occasionally.
|
special episodes are produced occasionally. special opposites were produced occasionally. special episodes are produced occasionally. special episodes are produced occasionally.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['special episodes were produced occasionally', 'special episodes are produced occasionally', 'special opposites were produced occasionally', 'special episodes are produced occasionally', 'special episodes are produced occasionally']
|
|
[
"primary triodes express function clearly and unambiguously",
"primary triads express function clearly and unambiguously",
"primary tryouts express function clearly and unambiguously",
"primary try outs express function clearly and unambiguously",
"primary triods express function clearly and unambiguously"
] |
primary triads express function clearly and unambiguously
|
primary triodes express function clearly and unambiguously.
|
primary triads express function clearly and unambiguously. primary tryouts express function clearly and unambiguously. primary try outs express function clearly and unambiguously. primary triods express function clearly and unambiguously.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['primary triodes express function clearly and unambiguously', 'primary triads express function clearly and unambiguously', 'primary tryouts express function clearly and unambiguously', 'primary try outs express function clearly and unambiguously', 'primary triods express function clearly and unambiguously']
|
|
[
"the name indicates i get only a breach at this location",
"the name indicates i get only a bridge at this location",
"the name indicates a yet only a breach at this location",
"the name indicates a yet earlier breach at this location",
"the name indicates that yet only a breach at this location"
] |
the name indicates a yet earlier bridge at this location
|
the name indicates i get only a breach at this location.
|
the name indicates i get only a bridge at this location. the name indicates a yet only a breach at this location. the name indicates a yet earlier breach at this location. the name indicates that yet only a breach at this location.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the name indicates i get only a breach at this location', 'the name indicates i get only a bridge at this location', 'the name indicates a yet only a breach at this location', 'the name indicates a yet earlier breach at this location', 'the name indicates that yet only a breach at this location']
|
|
[
"in successive rounds more monsters appear on each screen and they move quicker",
"in successive rounds more monsters appear on each screen and they move quicker",
"in successive rounds more monsters appear on each screen and they move quicker",
"in successive rounds more monsters appear on each screen and they move quicker",
"in successive rounds more monsters appear on each screen and they move quicker"
] |
in successive rounds more monsters appear on each screen and they move quicker
|
in successive rounds more monsters appear on each screen and they move quicker.
|
in successive rounds more monsters appear on each screen and they move quicker. in successive rounds more monsters appear on each screen and they move quicker. in successive rounds more monsters appear on each screen and they move quicker. in successive rounds more monsters appear on each screen and they move quicker.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in successive rounds more monsters appear on each screen and they move quicker', 'in successive rounds more monsters appear on each screen and they move quicker', 'in successive rounds more monsters appear on each screen and they move quicker', 'in successive rounds more monsters appear on each screen and they move quicker', 'in successive rounds more monsters appear on each screen and they move quicker']
|
|
[
"it also involves the conversion of inocidol phospholipids in the cell membrane",
"it also involves the conversion of inocitoral phospholipids in the cell membrane",
"it also involves the conversion of inocital phospholipids in the cell membrane",
"it also involves the conversion of anositol phospholipids in the cell membrane",
"it also involves the conversion of inocetol phospholipids in the cell membrane"
] |
it also involves the conversion of inositol phospholipids in the cell membrane
|
it also involves the conversion of inocidol phospholipids in the cell membrane.
|
it also involves the conversion of inocitoral phospholipids in the cell membrane. it also involves the conversion of inocital phospholipids in the cell membrane. it also involves the conversion of anositol phospholipids in the cell membrane. it also involves the conversion of inocetol phospholipids in the cell membrane.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also involves the conversion of inocidol phospholipids in the cell membrane', 'it also involves the conversion of inocitoral phospholipids in the cell membrane', 'it also involves the conversion of inocital phospholipids in the cell membrane', 'it also involves the conversion of anositol phospholipids in the cell membrane', 'it also involves the conversion of inocetol phospholipids in the cell membrane']
|
|
[
"real dyson was a non provener",
"the real pricing was a lot more than that",
"the real pricing was that the law proved enough",
"real dyson was a lot more than that",
"real pricing was a lot more than that"
] |
mia dyson was the inaugural winner
|
real dyson was a non provener.
|
the real pricing was a lot more than that. the real pricing was that the law proved enough. real dyson was a lot more than that. real pricing was a lot more than that.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['real dyson was a non provener', 'the real pricing was a lot more than that', 'the real pricing was that the law proved enough', 'real dyson was a lot more than that', 'real pricing was a lot more than that']
|
|
[
"this advantage is mainly due to progress in integrated circuit technology",
"this advantage is mainly due to progress in integrated circuit technology",
"this advantage is mainly due to progress in integrated circuit technology",
"this advantage is mainly due to progress in integrated circuit technology",
"this advantage is mainly due to progress in the integrated circuit technology"
] |
this advantage is mainly due to progress in integrated circuit technology
|
this advantage is mainly due to progress in integrated circuit technology.
|
this advantage is mainly due to progress in integrated circuit technology. this advantage is mainly due to progress in integrated circuit technology. this advantage is mainly due to progress in integrated circuit technology. this advantage is mainly due to progress in the integrated circuit technology.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this advantage is mainly due to progress in integrated circuit technology', 'this advantage is mainly due to progress in integrated circuit technology', 'this advantage is mainly due to progress in integrated circuit technology', 'this advantage is mainly due to progress in integrated circuit technology', 'this advantage is mainly due to progress in the integrated circuit technology']
|
|
[
"for example consider multiplication of integers",
"for example consider multiplication of integers",
"for example consider multiplication of integers",
"for example consider multiplication of integers",
"for example consider multiplication of integers"
] |
for example consider multiplication of integers
|
for example consider multiplication of integers.
|
for example consider multiplication of integers. for example consider multiplication of integers. for example consider multiplication of integers. for example consider multiplication of integers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for example consider multiplication of integers', 'for example consider multiplication of integers', 'for example consider multiplication of integers', 'for example consider multiplication of integers', 'for example consider multiplication of integers']
|
|
[
"the term is also used metaphorically to describe verbal or critical assaults",
"the term is also used metaphorically to describe verbal or critical assaults",
"the term is also used metaphorically to describe verbal or critical assaults",
"the term is also used metaphorically to describe verbal or critical assaults",
"the term is also used metaphorically to describe verbal or critical assaults"
] |
the term is also used metaphorically to describe verbal or critical assaults
|
the term is also used metaphorically to describe verbal or critical assaults.
|
the term is also used metaphorically to describe verbal or critical assaults. the term is also used metaphorically to describe verbal or critical assaults. the term is also used metaphorically to describe verbal or critical assaults. the term is also used metaphorically to describe verbal or critical assaults.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the term is also used metaphorically to describe verbal or critical assaults', 'the term is also used metaphorically to describe verbal or critical assaults', 'the term is also used metaphorically to describe verbal or critical assaults', 'the term is also used metaphorically to describe verbal or critical assaults', 'the term is also used metaphorically to describe verbal or critical assaults']
|
|
[
"a survival was confirmed four days later",
"a survival was confirmed four days later",
"a survival was confirmed for four days later",
"a survival was confirmed four days later",
"a survival was confirmed four days later"
] |
her survival was confirmed four days later
|
a survival was confirmed four days later.
|
a survival was confirmed four days later. a survival was confirmed for four days later. a survival was confirmed four days later. a survival was confirmed four days later.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a survival was confirmed four days later', 'a survival was confirmed four days later', 'a survival was confirmed for four days later', 'a survival was confirmed four days later', 'a survival was confirmed four days later']
|
|
[
"remains from this era can still be seen in the topography of oxy",
"remains from this era can still be seen in the topography of oxy",
"remains from this era can still be seen in the topography of oxy",
"remains from this era can still be seen in the topography of oxi",
"remains from this era can still be seen in the topography of oxi"
] |
remains from this era can still be seen in the topography of oxie
|
remains from this era can still be seen in the topography of oxy.
|
remains from this era can still be seen in the topography of oxy. remains from this era can still be seen in the topography of oxy. remains from this era can still be seen in the topography of oxi. remains from this era can still be seen in the topography of oxi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['remains from this era can still be seen in the topography of oxy', 'remains from this era can still be seen in the topography of oxy', 'remains from this era can still be seen in the topography of oxy', 'remains from this era can still be seen in the topography of oxi', 'remains from this era can still be seen in the topography of oxi']
|
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