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
|
|---|---|---|---|---|---|---|---|---|
[
"damage caused by sandy displays dozens of families in babylon for several months",
"damage caused by sandy displays dozens of families in babylon for several months",
"damage caused by sandy displace dozens of families in babylon for several months",
"damage caused by sandy displace dozens of families in babylon for several months",
"damage caused by sandy displays dozens of families in babylon for several months"
] |
damage caused by sandy displaced dozens of families in babylon for several months
|
damage caused by sandy displays dozens of families in babylon for several months.
|
damage caused by sandy displays dozens of families in babylon for several months. damage caused by sandy displace dozens of families in babylon for several months. damage caused by sandy displace dozens of families in babylon for several months. damage caused by sandy displays dozens of families in babylon for several months.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['damage caused by sandy displays dozens of families in babylon for several months', 'damage caused by sandy displays dozens of families in babylon for several months', 'damage caused by sandy displace dozens of families in babylon for several months', 'damage caused by sandy displace dozens of families in babylon for several months', 'damage caused by sandy displays dozens of families in babylon for several months']
|
|
[
"the city is the second largest in the county population wise behind cooper",
"the city is the second largest in the county population wise behind cooper",
"the city is the second largest in the county population wise behind cooper",
"the city is the second largest in the county population wise behind cooper",
"the city is the second largest in the county population wise behind cooper"
] |
the city is the second largest in the county population wise behind cooper
|
the city is the second largest in the county population wise behind cooper.
|
the city is the second largest in the county population wise behind cooper. the city is the second largest in the county population wise behind cooper. the city is the second largest in the county population wise behind cooper. the city is the second largest in the county population wise behind cooper.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city is the second largest in the county population wise behind cooper', 'the city is the second largest in the county population wise behind cooper', 'the city is the second largest in the county population wise behind cooper', 'the city is the second largest in the county population wise behind cooper', 'the city is the second largest in the county population wise behind cooper']
|
|
[
"he subsequently needed lifelong regular blood transfusions",
"he subsequently needed lifelong regular blood transfusions",
"he subsequently needed lifelong reginald blood transfusions",
"he subsequently needed lifelong pregnant blood transfusions",
"he subsequently needed lifelong recognition of blood transfusions"
] |
he subsequently needed lifelong regular blood transfusions
|
he subsequently needed lifelong regular blood transfusions.
|
he subsequently needed lifelong regular blood transfusions. he subsequently needed lifelong reginald blood transfusions. he subsequently needed lifelong pregnant blood transfusions. he subsequently needed lifelong recognition of blood transfusions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he subsequently needed lifelong regular blood transfusions', 'he subsequently needed lifelong regular blood transfusions', 'he subsequently needed lifelong reginald blood transfusions', 'he subsequently needed lifelong pregnant blood transfusions', 'he subsequently needed lifelong recognition of blood transfusions']
|
|
[
"it is also located close to the waterton lakes national park",
"it is also located close to the waterton lake is national park",
"it is also located close to the waterton lakes national park",
"it is also located close to the waterton lake is national park",
"it is also located close to the waterton lakes national park"
] |
it is also located close to the waterton lakes national park
|
it is also located close to the waterton lakes national park.
|
it is also located close to the waterton lake is national park. it is also located close to the waterton lakes national park. it is also located close to the waterton lake is national park. it is also located close to the waterton lakes national park.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also located close to the waterton lakes national park', 'it is also located close to the waterton lake is national park', 'it is also located close to the waterton lakes national park', 'it is also located close to the waterton lake is national park', 'it is also located close to the waterton lakes national park']
|
|
[
"the list is compiled below",
"the list is compiled below",
"the list is compiled below",
"the list is combined below",
"the list is combined below"
] |
the list is compiled below
|
the list is compiled below.
|
the list is compiled below. the list is compiled below. the list is combined below. the list is combined below.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the list is compiled below', 'the list is compiled below', 'the list is compiled below', 'the list is combined below', 'the list is combined below']
|
|
[
"mccaring is the first philippine consortium to link with both pamphlet and excursionate",
"mccaring is the first philippine consortium to link with both pamphlet and express net",
"mccaring is the first philippine consortium linked with both pamphlet and excursionate",
"mclarenk is the first philippine consortium to link with both pamphlet and express net",
"mccaring is the first philippine consortium to link with both pamphlet and exercise net"
] |
megalink is the first philippine consortium to link with both bancnet and expressnet
|
mccaring is the first philippine consortium to link with both pamphlet and excursionate.
|
mccaring is the first philippine consortium to link with both pamphlet and express net. mccaring is the first philippine consortium linked with both pamphlet and excursionate. mclarenk is the first philippine consortium to link with both pamphlet and express net. mccaring is the first philippine consortium to link with both pamphlet and exercise net.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mccaring is the first philippine consortium to link with both pamphlet and excursionate', 'mccaring is the first philippine consortium to link with both pamphlet and express net', 'mccaring is the first philippine consortium linked with both pamphlet and excursionate', 'mclarenk is the first philippine consortium to link with both pamphlet and express net', 'mccaring is the first philippine consortium to link with both pamphlet and exercise net']
|
|
[
"during the early middle ages communities first played between born men and free men",
"during the early middle ages communities first played between bone men and freemen",
"during the early metal ages communities were split between bone men and free men",
"during the early middle ages communities first played between bone men and free men",
"during the early metal ages communities first played between bone men and free men"
] |
during the early middle ages communities were split between bondmen and freemen
|
during the early middle ages communities first played between born men and free men.
|
during the early middle ages communities first played between bone men and freemen. during the early metal ages communities were split between bone men and free men. during the early middle ages communities first played between bone men and free men. during the early metal ages communities first played between bone men and free men.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during the early middle ages communities first played between born men and free men', 'during the early middle ages communities first played between bone men and freemen', 'during the early metal ages communities were split between bone men and free men', 'during the early middle ages communities first played between bone men and free men', 'during the early metal ages communities first played between bone men and free men']
|
|
[
"the operational difference between the two is the range of movement in the hitch",
"the operational difference between the two is the range of movement in the hitch",
"the operational difference between the two is the range of movement in the hitch",
"the operational difference between the two is the range of movement in the hitch",
"the operational difference between the two is the range of movement in the hitch"
] |
the operational difference between the two is the range of movement in the hitch
|
the operational difference between the two is the range of movement in the hitch.
|
the operational difference between the two is the range of movement in the hitch. the operational difference between the two is the range of movement in the hitch. the operational difference between the two is the range of movement in the hitch. the operational difference between the two is the range of movement in the hitch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the operational difference between the two is the range of movement in the hitch', 'the operational difference between the two is the range of movement in the hitch', 'the operational difference between the two is the range of movement in the hitch', 'the operational difference between the two is the range of movement in the hitch', 'the operational difference between the two is the range of movement in the hitch']
|
|
[
"people who live in akashi koli tamago yaki",
"people who live in akashi koli tamago aki",
"people who live in akashi koli tamagoyaki",
"people who live in akashi koli tamago yaki",
"people who live in akashi koli tamago yaki"
] |
people who live in akashi call it tamagoyaki
|
people who live in akashi koli tamago yaki.
|
people who live in akashi koli tamago aki. people who live in akashi koli tamagoyaki. people who live in akashi koli tamago yaki. people who live in akashi koli tamago yaki.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['people who live in akashi koli tamago yaki', 'people who live in akashi koli tamago aki', 'people who live in akashi koli tamagoyaki', 'people who live in akashi koli tamago yaki', 'people who live in akashi koli tamago yaki']
|
|
[
"then he hired upstairs to his watch tower",
"then he hurried upstairs to his watch tower",
"and then he hired upstairs to his watch tower",
"and then he hurried upstairs to his watch tower",
"then he hired upstairs to his watchtower"
] |
then he hurried upstairs to his watch tower
|
then he hired upstairs to his watch tower.
|
then he hurried upstairs to his watch tower. and then he hired upstairs to his watch tower. and then he hurried upstairs to his watch tower. then he hired upstairs to his watchtower.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then he hired upstairs to his watch tower', 'then he hurried upstairs to his watch tower', 'and then he hired upstairs to his watch tower', 'and then he hurried upstairs to his watch tower', 'then he hired upstairs to his watchtower']
|
|
[
"winder are characterized with moderate temperature during the day and cold nights",
"vinder are characterized with moderate temperature during the day and cold nights",
"winder are characterized with moderate temperature during day and cold nights",
"vinder are characterized with moderate temperature during day and cold nights",
"vinder are characterized with moderate temperature during day and cold nights"
] |
winters are characterized with moderate temperatures during the day and cold nights
|
winder are characterized with moderate temperature during the day and cold nights.
|
vinder are characterized with moderate temperature during the day and cold nights. winder are characterized with moderate temperature during day and cold nights. vinder are characterized with moderate temperature during day and cold nights. vinder are characterized with moderate temperature during day and cold nights.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['winder are characterized with moderate temperature during the day and cold nights', 'vinder are characterized with moderate temperature during the day and cold nights', 'winder are characterized with moderate temperature during day and cold nights', 'vinder are characterized with moderate temperature during day and cold nights', 'vinder are characterized with moderate temperature during day and cold nights']
|
|
[
"it occurs more often in older people especially those in nursing homes",
"it occurs more often in older people especially those in nursing homes",
"it occurs more often in older people especially in nursing homes",
"it occurs more often in older people especially those nursing homes",
"it occurs more often in older people especially those nursing homes"
] |
it occurs more often in older people especially those in nursing homes
|
it occurs more often in older people especially those in nursing homes.
|
it occurs more often in older people especially those in nursing homes. it occurs more often in older people especially in nursing homes. it occurs more often in older people especially those nursing homes. it occurs more often in older people especially those nursing homes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it occurs more often in older people especially those in nursing homes', 'it occurs more often in older people especially those in nursing homes', 'it occurs more often in older people especially in nursing homes', 'it occurs more often in older people especially those nursing homes', 'it occurs more often in older people especially those nursing homes']
|
|
[
"a big crowd is watching some kind of game",
"a big crowd is watching some kind of a game",
"a big crowd is watching some kind of game",
"a big crowd is watching some kind of a game",
"a big crowd is watching some kind of a game"
] |
a big crowd is watching some kind of a game
|
a big crowd is watching some kind of game.
|
a big crowd is watching some kind of a game. a big crowd is watching some kind of game. a big crowd is watching some kind of a game. a big crowd is watching some kind of a game.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a big crowd is watching some kind of game', 'a big crowd is watching some kind of a game', 'a big crowd is watching some kind of game', 'a big crowd is watching some kind of a game', 'a big crowd is watching some kind of a game']
|
|
[
"mining includes lead silver zinc and salt and hydrocarbons extraction",
"mining includes lead silver zinc and salt and hydrocarbons extraction",
"mining includes led silver zinc and salt and hydrocarbons extraction",
"mining includes led silver zinc and salt and hydrocarbons extraction",
"mining includes lead silver zinc insult and hydrocarbons extraction"
] |
mining includes lead silver zinc and salt and hydrocarbons extraction
|
mining includes lead silver zinc and salt and hydrocarbons extraction.
|
mining includes lead silver zinc and salt and hydrocarbons extraction. mining includes led silver zinc and salt and hydrocarbons extraction. mining includes led silver zinc and salt and hydrocarbons extraction. mining includes lead silver zinc insult and hydrocarbons extraction.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mining includes lead silver zinc and salt and hydrocarbons extraction', 'mining includes lead silver zinc and salt and hydrocarbons extraction', 'mining includes led silver zinc and salt and hydrocarbons extraction', 'mining includes led silver zinc and salt and hydrocarbons extraction', 'mining includes lead silver zinc insult and hydrocarbons extraction']
|
|
[
"it is also the name of a county in town in connecticut",
"it is also the name of a county in town in connecticut",
"it is also the name of a county in town in connecticut",
"it is also the name of a county in town in connecticut",
"it is also the name of a county in town in connecticut"
] |
it is also the name of a county and town in connecticut
|
it is also the name of a county in town in connecticut.
|
it is also the name of a county in town in connecticut. it is also the name of a county in town in connecticut. it is also the name of a county in town in connecticut. it is also the name of a county in town in connecticut.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also the name of a county in town in connecticut', 'it is also the name of a county in town in connecticut', 'it is also the name of a county in town in connecticut', 'it is also the name of a county in town in connecticut', 'it is also the name of a county in town in connecticut']
|
|
[
"perhaps i ought to do so",
"perhaps i ought to do so",
"perhaps i ought to do so",
"perhaps i ought to do so",
"perhaps i ought to do so"
] |
perhaps i ought to do so
|
perhaps i ought to do so.
|
perhaps i ought to do so. perhaps i ought to do so. perhaps i ought to do so. perhaps i ought to do so.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['perhaps i ought to do so', 'perhaps i ought to do so', 'perhaps i ought to do so', 'perhaps i ought to do so', 'perhaps i ought to do so']
|
|
[
"the blades are sold pre shopened",
"the blades are sold pre shopped",
"the blades are sold pre shopped and",
"the blades are sold pre shopened",
"the blades are sold pre shopened"
] |
the blades are sold pre sharpened
|
the blades are sold pre shopened.
|
the blades are sold pre shopped. the blades are sold pre shopped and. the blades are sold pre shopened. the blades are sold pre shopened.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the blades are sold pre shopened', 'the blades are sold pre shopped', 'the blades are sold pre shopped and', 'the blades are sold pre shopened', 'the blades are sold pre shopened']
|
|
[
"that is given in terms of constant year on year prices",
"that is given in terms of constant year on new prices",
"that is given in terms of constant euro new prices",
"that is given in terms of constant year on year prices",
"that is given in terms of constant euro new prices"
] |
data is given in terms of constant year on year prices
|
that is given in terms of constant year on year prices.
|
that is given in terms of constant year on new prices. that is given in terms of constant euro new prices. that is given in terms of constant year on year prices. that is given in terms of constant euro new prices.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that is given in terms of constant year on year prices', 'that is given in terms of constant year on new prices', 'that is given in terms of constant euro new prices', 'that is given in terms of constant year on year prices', 'that is given in terms of constant euro new prices']
|
|
[
"the black crested and shrite feeds on insects and other atropose glean from foliage",
"the black crested and shrite feeds on insects and other atropos glean from foliage",
"the black crested and shrite feeds on insects and other arthropods glean from foliage",
"the black crested and shrug feeds on insects and other atropose glean from foliage",
"the black crested and shrug feeds on insects and other arthropods glean from foliage"
] |
the black crested antshrike feeds on insects and other arthropods gleaned from foliage
|
the black crested and shrite feeds on insects and other atropose glean from foliage.
|
the black crested and shrite feeds on insects and other atropos glean from foliage. the black crested and shrite feeds on insects and other arthropods glean from foliage. the black crested and shrug feeds on insects and other atropose glean from foliage. the black crested and shrug feeds on insects and other arthropods glean from foliage.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the black crested and shrite feeds on insects and other atropose glean from foliage', 'the black crested and shrite feeds on insects and other atropos glean from foliage', 'the black crested and shrite feeds on insects and other arthropods glean from foliage', 'the black crested and shrug feeds on insects and other atropose glean from foliage', 'the black crested and shrug feeds on insects and other arthropods glean from foliage']
|
|
[
"there are several different methods of building underground lines",
"there are several different methods of doing underground lines",
"there is several different methods of building underground lines",
"there are several different methods of dueling underground lines",
"there is several different methods of building underground lines"
] |
there are several different methods of building underground lines
|
there are several different methods of building underground lines.
|
there are several different methods of doing underground lines. there is several different methods of building underground lines. there are several different methods of dueling underground lines. there is several different methods of building underground lines.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are several different methods of building underground lines', 'there are several different methods of doing underground lines', 'there is several different methods of building underground lines', 'there are several different methods of dueling underground lines', 'there is several different methods of building underground lines']
|
|
[
"his formal education was unsuccessful and he failed his university entrance examinations",
"his formal education was unsuccessful and he failed his university entrance examinations",
"his formal education was unsuccessful and he filed his university entrance examinations",
"his formal education was unsuccessful and he filed his university entrance examinations",
"his formal education was unsuccessful and he fouled his university entrance examinations"
] |
his formal education was unsuccessful and he failed his university entrance examinations
|
his formal education was unsuccessful and he failed his university entrance examinations.
|
his formal education was unsuccessful and he failed his university entrance examinations. his formal education was unsuccessful and he filed his university entrance examinations. his formal education was unsuccessful and he filed his university entrance examinations. his formal education was unsuccessful and he fouled his university entrance examinations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his formal education was unsuccessful and he failed his university entrance examinations', 'his formal education was unsuccessful and he failed his university entrance examinations', 'his formal education was unsuccessful and he filed his university entrance examinations', 'his formal education was unsuccessful and he filed his university entrance examinations', 'his formal education was unsuccessful and he fouled his university entrance examinations']
|
|
[
"authorizing legend roker benzky joseph s jeman and rob konig as president",
"authorizing legend roker benzky joseph s jeman and rob konig as president",
"authorizing legend roker benzky joseph s j mann and rob konig as president",
"authorizing legend roker benzky joseph s jeman and rob kurnich as president",
"authorizing legend roker benzky joseph s jeman and rob kurnich as president"
] |
auto racing legend roger penske serves as chairman and rob kurnick as president
|
authorizing legend roker benzky joseph s jeman and rob konig as president.
|
authorizing legend roker benzky joseph s jeman and rob konig as president. authorizing legend roker benzky joseph s j mann and rob konig as president. authorizing legend roker benzky joseph s jeman and rob kurnich as president. authorizing legend roker benzky joseph s jeman and rob kurnich as president.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['authorizing legend roker benzky joseph s jeman and rob konig as president', 'authorizing legend roker benzky joseph s jeman and rob konig as president', 'authorizing legend roker benzky joseph s j mann and rob konig as president', 'authorizing legend roker benzky joseph s jeman and rob kurnich as president', 'authorizing legend roker benzky joseph s jeman and rob kurnich as president']
|
|
[
"the printed tubing was put in a plaster filler",
"the printed tubing was put in a plastic filler",
"the printed tubing was put in a plaster filler",
"the printed tubing was put in a plaster filler",
"the printed tubing was put in a plaster filler"
] |
the printed tubing was put in a plaster filler
|
the printed tubing was put in a plaster filler.
|
the printed tubing was put in a plastic filler. the printed tubing was put in a plaster filler. the printed tubing was put in a plaster filler. the printed tubing was put in a plaster filler.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the printed tubing was put in a plaster filler', 'the printed tubing was put in a plastic filler', 'the printed tubing was put in a plaster filler', 'the printed tubing was put in a plaster filler', 'the printed tubing was put in a plaster filler']
|
|
[
"the various systems of education and through which vivian gray passes our analyze",
"of education and through which vivian gray passes our analyze",
"the various systems of education and through which vivian gray passes our analyze",
"the various systems of education and through which vivian gray passes are analyzed",
"the various systems of education through which vivian gray passes our analyze"
] |
the various systems of education through which vivian gray passes are analyzed
|
the various systems of education and through which vivian gray passes our analyze.
|
of education and through which vivian gray passes our analyze. the various systems of education and through which vivian gray passes our analyze. the various systems of education and through which vivian gray passes are analyzed. the various systems of education through which vivian gray passes our analyze.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the various systems of education and through which vivian gray passes our analyze', 'of education and through which vivian gray passes our analyze', 'the various systems of education and through which vivian gray passes our analyze', 'the various systems of education and through which vivian gray passes are analyzed', 'the various systems of education through which vivian gray passes our analyze']
|
|
[
"the club and its fans are searching for investors",
"the club and its fans are searching for investors",
"the club and it is fans are searching for investors",
"the club and its fans are searching for investors",
"the club and its fans are searching for investors"
] |
the club and its fans are searching for investors
|
the club and its fans are searching for investors.
|
the club and its fans are searching for investors. the club and it is fans are searching for investors. the club and its fans are searching for investors. the club and its fans are searching for investors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the club and its fans are searching for investors', 'the club and its fans are searching for investors', 'the club and it is fans are searching for investors', 'the club and its fans are searching for investors', 'the club and its fans are searching for investors']
|
|
[
"the state formation mill corn mill is now working as in",
"the state formation mill corn mill is now working in the museum",
"the state for massomial corn meal is now working as in",
"the state for massomial car mill is now working as in",
"the state for massomial corn mill is now working as in"
] |
the estate is former sawmill combe mill is now a working museum
|
the state formation mill corn mill is now working as in.
|
the state formation mill corn mill is now working in the museum. the state for massomial corn meal is now working as in. the state for massomial car mill is now working as in. the state for massomial corn mill is now working as in.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the state formation mill corn mill is now working as in', 'the state formation mill corn mill is now working in the museum', 'the state for massomial corn meal is now working as in', 'the state for massomial car mill is now working as in', 'the state for massomial corn mill is now working as in']
|
|
[
"during the ceremony suyu harai will precede the yokosuna into the ring",
"during the ceremony suyu harai will proceed the yokosuna into the ring",
"during the ceremony suyu harai will proceed the yokozuna into the ring",
"during the ceremony suyu harai will precede the yokosona into the ring",
"during the ceremony suyu harai will proceed the yokosona into the ring"
] |
during the ceremony the tsuyuharai will precede the yokozuna into the ring
|
during the ceremony suyu harai will precede the yokosuna into the ring.
|
during the ceremony suyu harai will proceed the yokosuna into the ring. during the ceremony suyu harai will proceed the yokozuna into the ring. during the ceremony suyu harai will precede the yokosona into the ring. during the ceremony suyu harai will proceed the yokosona into the ring.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during the ceremony suyu harai will precede the yokosuna into the ring', 'during the ceremony suyu harai will proceed the yokosuna into the ring', 'during the ceremony suyu harai will proceed the yokozuna into the ring', 'during the ceremony suyu harai will precede the yokosona into the ring', 'during the ceremony suyu harai will proceed the yokosona into the ring']
|
|
[
"the current mayor of faesley is canceler brian is halt",
"the current mayor of faesley in iscansola brian is halt",
"the current mayor of faesley in iscancela brian is halt",
"the current mayor of faesley in is canceler brian is halt",
"the current mayor of faesley in iscancella brian is halt"
] |
the current mayor of fazeley is councilor brian hoult
|
the current mayor of faesley is canceler brian is halt.
|
the current mayor of faesley in iscansola brian is halt. the current mayor of faesley in iscancela brian is halt. the current mayor of faesley in is canceler brian is halt. the current mayor of faesley in iscancella brian is halt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the current mayor of faesley is canceler brian is halt', 'the current mayor of faesley in iscansola brian is halt', 'the current mayor of faesley in iscancela brian is halt', 'the current mayor of faesley in is canceler brian is halt', 'the current mayor of faesley in iscancella brian is halt']
|
|
[
"aristotle is claimed to hold to this view",
"aristotle is claimed to hold to this view",
"aristotel is claimed to hold to this view",
"aristotle is claimed to hold to this view",
"aristotle is claimed to hold to this view"
] |
aristotle is claimed to hold to this view
|
aristotle is claimed to hold to this view.
|
aristotle is claimed to hold to this view. aristotel is claimed to hold to this view. aristotle is claimed to hold to this view. aristotle is claimed to hold to this view.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['aristotle is claimed to hold to this view', 'aristotle is claimed to hold to this view', 'aristotel is claimed to hold to this view', 'aristotle is claimed to hold to this view', 'aristotle is claimed to hold to this view']
|
|
[
"hobbs was born in chippenham wiltshire",
"holmes was born in chippenham wiltshire",
"hobbes was born in chippenham wiltshire",
"homs was born in chippenham wiltshire",
"hobbs was born in chippenham which here"
] |
hobbs was born in chippenham wiltshire
|
hobbs was born in chippenham wiltshire.
|
holmes was born in chippenham wiltshire. hobbes was born in chippenham wiltshire. homs was born in chippenham wiltshire. hobbs was born in chippenham which here.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hobbs was born in chippenham wiltshire', 'holmes was born in chippenham wiltshire', 'hobbes was born in chippenham wiltshire', 'homs was born in chippenham wiltshire', 'hobbs was born in chippenham which here']
|
|
[
"the association works consists of local churches recommending their missionaires to other churches",
"the association works consists of local churches recommending their mission as to other churches",
"the association works consists of local churches recommending their mission as to all the churches",
"the association works consists of local churches recommending their missionaries to other churches",
"the association works consists of local churches recommending their mission as to other churches"
] |
the association is work consists of local churches recommending their missionaries to other churches
|
the association works consists of local churches recommending their missionaires to other churches.
|
the association works consists of local churches recommending their mission as to other churches. the association works consists of local churches recommending their mission as to all the churches. the association works consists of local churches recommending their missionaries to other churches. the association works consists of local churches recommending their mission as to other churches.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the association works consists of local churches recommending their missionaires to other churches', 'the association works consists of local churches recommending their mission as to other churches', 'the association works consists of local churches recommending their mission as to all the churches', 'the association works consists of local churches recommending their missionaries to other churches', 'the association works consists of local churches recommending their mission as to other churches']
|
|
[
"coivisto made to boil unilateral diplomatic moves that significantly changed the finnish political position",
"coivisto met to boil unilateral diplomatic moves that significantly changed the finnish political position",
"coivisto made to boil unilateral diplomatic moves that significantly changed the finish political position",
"coivisto made to boil unilateral diplomatic moves that significantly changed the finished political position",
"coivisto made to bore the unilateral diplomatic moves that significantly changed the finnish political position"
] |
koivisto made two bold unilateral diplomatic moves that significantly changed the finnish political position
|
coivisto made to boil unilateral diplomatic moves that significantly changed the finnish political position.
|
coivisto met to boil unilateral diplomatic moves that significantly changed the finnish political position. coivisto made to boil unilateral diplomatic moves that significantly changed the finish political position. coivisto made to boil unilateral diplomatic moves that significantly changed the finished political position. coivisto made to bore the unilateral diplomatic moves that significantly changed the finnish political position.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['coivisto made to boil unilateral diplomatic moves that significantly changed the finnish political position', 'coivisto met to boil unilateral diplomatic moves that significantly changed the finnish political position', 'coivisto made to boil unilateral diplomatic moves that significantly changed the finish political position', 'coivisto made to boil unilateral diplomatic moves that significantly changed the finished political position', 'coivisto made to bore the unilateral diplomatic moves that significantly changed the finnish political position']
|
|
[
"the letter is sometimes considered to be a dialect of kildin samir",
"the letter is sometimes considered to be a dialect of kildin samil",
"the letter is sometimes considered to be a dialect of kildin sami",
"the letter is sometimes considered to be a dialect of kildin swami",
"the letter is sometimes considered to be a dialect of kildin samin"
] |
the latter is sometimes considered to be a dialect of kildin sami
|
the letter is sometimes considered to be a dialect of kildin samir.
|
the letter is sometimes considered to be a dialect of kildin samil. the letter is sometimes considered to be a dialect of kildin sami. the letter is sometimes considered to be a dialect of kildin swami. the letter is sometimes considered to be a dialect of kildin samin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the letter is sometimes considered to be a dialect of kildin samir', 'the letter is sometimes considered to be a dialect of kildin samil', 'the letter is sometimes considered to be a dialect of kildin sami', 'the letter is sometimes considered to be a dialect of kildin swami', 'the letter is sometimes considered to be a dialect of kildin samin']
|
|
[
"the webbing is often also two blow webbing instead of flat webbing",
"the webbing is often also chublo webbing instead of flat webbing",
"the webbing is often also gibler webbing instead of flat webbing",
"the webbing is often also jiblo webbing instead of flat webbing",
"the webbing is often also cheap low webbing instead of flat webbing"
] |
the webbing is often also tubular webbing instead of flat webbing
|
the webbing is often also two blow webbing instead of flat webbing.
|
the webbing is often also chublo webbing instead of flat webbing. the webbing is often also gibler webbing instead of flat webbing. the webbing is often also jiblo webbing instead of flat webbing. the webbing is often also cheap low webbing instead of flat webbing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the webbing is often also two blow webbing instead of flat webbing', 'the webbing is often also chublo webbing instead of flat webbing', 'the webbing is often also gibler webbing instead of flat webbing', 'the webbing is often also jiblo webbing instead of flat webbing', 'the webbing is often also cheap low webbing instead of flat webbing']
|
|
[
"many other public schools have operated in the kilpai district",
"many other public schools have operated in the kilpie district",
"many other public schools have operated in the kilpi district",
"many other public schools have operated in the guilpai district",
"many other public schools have operated in the kilpai district"
] |
many other public schools have operated in the quilpie district
|
many other public schools have operated in the kilpai district.
|
many other public schools have operated in the kilpie district. many other public schools have operated in the kilpi district. many other public schools have operated in the guilpai district. many other public schools have operated in the kilpai district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many other public schools have operated in the kilpai district', 'many other public schools have operated in the kilpie district', 'many other public schools have operated in the kilpi district', 'many other public schools have operated in the guilpai district', 'many other public schools have operated in the kilpai district']
|
|
[
"in other words mortgage prepayments are used to retire a specified maturity",
"in other words mortgage prepayments are used to retry a specified maturity",
"in other words mortgage prepamins are used to retire a specified maturity",
"in other words mortgage prepamins are used to retire a specified maturity",
"in other words mortgage prepayments are used to retire a specified maturity"
] |
in other words mortgage prepayments are used to retire a specified maturity
|
in other words mortgage prepayments are used to retire a specified maturity.
|
in other words mortgage prepayments are used to retry a specified maturity. in other words mortgage prepamins are used to retire a specified maturity. in other words mortgage prepamins are used to retire a specified maturity. in other words mortgage prepayments are used to retire a specified maturity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in other words mortgage prepayments are used to retire a specified maturity', 'in other words mortgage prepayments are used to retry a specified maturity', 'in other words mortgage prepamins are used to retire a specified maturity', 'in other words mortgage prepamins are used to retire a specified maturity', 'in other words mortgage prepayments are used to retire a specified maturity']
|
|
[
"he was born in what is today akita prefecture",
"he was born in what is today akita prefecture",
"he was born in what is today is akita prefecture",
"he was born in what is today acquita prefecture",
"he was born in what is today akita is prefecture"
] |
he was born in what is today akita prefecture
|
he was born in what is today akita prefecture.
|
he was born in what is today akita prefecture. he was born in what is today is akita prefecture. he was born in what is today acquita prefecture. he was born in what is today akita is prefecture.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was born in what is today akita prefecture', 'he was born in what is today akita prefecture', 'he was born in what is today is akita prefecture', 'he was born in what is today acquita prefecture', 'he was born in what is today akita is prefecture']
|
|
[
"this became part of orleans parish",
"this became part of orlean is parish",
"this became part of orleans parish",
"this became part of orleans parish",
"this became part of orleans parish"
] |
these became part of orleans parish
|
this became part of orleans parish.
|
this became part of orlean is parish. this became part of orleans parish. this became part of orleans parish. this became part of orleans parish.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this became part of orleans parish', 'this became part of orlean is parish', 'this became part of orleans parish', 'this became part of orleans parish', 'this became part of orleans parish']
|
|
[
"building also works as a choreographer",
"building also works as a choreography foot",
"belving also works as a choreographer",
"building also works as a choreography for",
"building also works as a choreography for it"
] |
belbin also works as a choreographer
|
building also works as a choreographer.
|
building also works as a choreography foot. belving also works as a choreographer. building also works as a choreography for. building also works as a choreography for it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['building also works as a choreographer', 'building also works as a choreography foot', 'belving also works as a choreographer', 'building also works as a choreography for', 'building also works as a choreography for it']
|
|
[
"the station is licensed to mount in new brunswick canada",
"the station is licensed to mount the new brunswick canada",
"the station is licensed to mount new bronze with canada",
"the station is licensed to montgomery new brunswick canada",
"the station is licensed to mount a new brunswick canada"
] |
the station is licensed to moncton new brunswick canada
|
the station is licensed to mount in new brunswick canada.
|
the station is licensed to mount the new brunswick canada. the station is licensed to mount new bronze with canada. the station is licensed to montgomery new brunswick canada. the station is licensed to mount a new brunswick canada.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the station is licensed to mount in new brunswick canada', 'the station is licensed to mount the new brunswick canada', 'the station is licensed to mount new bronze with canada', 'the station is licensed to montgomery new brunswick canada', 'the station is licensed to mount a new brunswick canada']
|
|
[
"occasionally articulations can be combined to create stylistically or technically correct sounds",
"occasionally articulations can be combined to create stylistically or technically correct sounds",
"occasionally articulation can be combined to create stylistically or technically correct sounds",
"occasionally articulations can be combined to create stylistically or technically correct sounds",
"occasionally our tickulations can be combined to create stylistically or technically correct sounds"
] |
occasionally articulations can be combined to create stylistically or technically correct sounds
|
occasionally articulations can be combined to create stylistically or technically correct sounds.
|
occasionally articulations can be combined to create stylistically or technically correct sounds. occasionally articulation can be combined to create stylistically or technically correct sounds. occasionally articulations can be combined to create stylistically or technically correct sounds. occasionally our tickulations can be combined to create stylistically or technically correct sounds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['occasionally articulations can be combined to create stylistically or technically correct sounds', 'occasionally articulations can be combined to create stylistically or technically correct sounds', 'occasionally articulation can be combined to create stylistically or technically correct sounds', 'occasionally articulations can be combined to create stylistically or technically correct sounds', 'occasionally our tickulations can be combined to create stylistically or technically correct sounds']
|
|
[
"the summit has also been extensively worked",
"the summit has also been extensively worked",
"the summit has also been extensively worked",
"the summit has also been extensively worked",
"the summit has also been extensively worked"
] |
the summit has also been extensively worked
|
the summit has also been extensively worked.
|
the summit has also been extensively worked. the summit has also been extensively worked. the summit has also been extensively worked. the summit has also been extensively worked.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the summit has also been extensively worked', 'the summit has also been extensively worked', 'the summit has also been extensively worked', 'the summit has also been extensively worked', 'the summit has also been extensively worked']
|
|
[
"so you also wrote for the stage and compose music for songs",
"so you also wrote for a stage and compose music for songs",
"so you also wrote for the stage and composed music for songs",
"so you also wrote for a stage and composed music for songs",
"you also wrote for the stage and composed music for songs"
] |
she also wrote for the stage and composed music for songs
|
so you also wrote for the stage and compose music for songs.
|
so you also wrote for a stage and compose music for songs. so you also wrote for the stage and composed music for songs. so you also wrote for a stage and composed music for songs. you also wrote for the stage and composed music for songs.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so you also wrote for the stage and compose music for songs', 'so you also wrote for a stage and compose music for songs', 'so you also wrote for the stage and composed music for songs', 'so you also wrote for a stage and composed music for songs', 'you also wrote for the stage and composed music for songs']
|
|
[
"it is in the northeast of the country and its capital was peshcopy",
"it is in the northeast of the country and its capital was peshcopi",
"it is in the north east of the country and its capital was peshcopy",
"it is in the north east of the country and its capital was peshcopi",
"it is in the northeast of the country and its capital was peshcopi"
] |
it is in the northeast of the country and its capital was peshkopi
|
it is in the northeast of the country and its capital was peshcopy.
|
it is in the northeast of the country and its capital was peshcopi. it is in the north east of the country and its capital was peshcopy. it is in the north east of the country and its capital was peshcopi. it is in the northeast of the country and its capital was peshcopi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is in the northeast of the country and its capital was peshcopy', 'it is in the northeast of the country and its capital was peshcopi', 'it is in the north east of the country and its capital was peshcopy', 'it is in the north east of the country and its capital was peshcopi', 'it is in the northeast of the country and its capital was peshcopi']
|
|
[
"this charge is considered a traffic violation rather than a criminal conviction",
"this charge is considered a traffic violation rather than a criminal conviction",
"this charge is considered a traffic violation rather than a criminal conviction",
"this charge is considered a traffic violation rather than a criminal conviction",
"this charge is considered a traffic violation rather than a criminal conviction"
] |
this charge is considered a traffic violation rather than a criminal conviction
|
this charge is considered a traffic violation rather than a criminal conviction.
|
this charge is considered a traffic violation rather than a criminal conviction. this charge is considered a traffic violation rather than a criminal conviction. this charge is considered a traffic violation rather than a criminal conviction. this charge is considered a traffic violation rather than a criminal conviction.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this charge is considered a traffic violation rather than a criminal conviction', 'this charge is considered a traffic violation rather than a criminal conviction', 'this charge is considered a traffic violation rather than a criminal conviction', 'this charge is considered a traffic violation rather than a criminal conviction', 'this charge is considered a traffic violation rather than a criminal conviction']
|
|
[
"some are installed at tourist attractions as well as for urban transportation",
"some are installed at tourist attractions as well as for urban transportation",
"some are installed at tourist attractions as well as for urban transportation",
"some are installed at tourist attractions as well as for urban transportation",
"some are installed at tourist attractions as well as for urban transportation"
] |
some are installed at tourist attractions as well as for urban transportation
|
some are installed at tourist attractions as well as for urban transportation.
|
some are installed at tourist attractions as well as for urban transportation. some are installed at tourist attractions as well as for urban transportation. some are installed at tourist attractions as well as for urban transportation. some are installed at tourist attractions as well as for urban transportation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some are installed at tourist attractions as well as for urban transportation', 'some are installed at tourist attractions as well as for urban transportation', 'some are installed at tourist attractions as well as for urban transportation', 'some are installed at tourist attractions as well as for urban transportation', 'some are installed at tourist attractions as well as for urban transportation']
|
|
[
"he was later a leader of j hawkers",
"he was later a leader of j hawkers",
"he was later a leader of j hawkers",
"he was later a leader of j hokers",
"he was later a leader of j hawkers"
] |
he was later a leader of jayhawkers
|
he was later a leader of j hawkers.
|
he was later a leader of j hawkers. he was later a leader of j hawkers. he was later a leader of j hokers. he was later a leader of j hawkers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was later a leader of j hawkers', 'he was later a leader of j hawkers', 'he was later a leader of j hawkers', 'he was later a leader of j hokers', 'he was later a leader of j hawkers']
|
|
[
"the building is popularity has borne many copycat structures throughout china",
"the building is popularity has borne many copicat structures throughout china",
"the building is popularity has borne many copycat structures throughout china",
"the building is popularity has borne many copicat structures throughout china",
"the building is popularity has borne many copycat structures throughout china"
] |
the building is popularity has spawned many copycat structures throughout china
|
the building is popularity has borne many copycat structures throughout china.
|
the building is popularity has borne many copicat structures throughout china. the building is popularity has borne many copycat structures throughout china. the building is popularity has borne many copicat structures throughout china. the building is popularity has borne many copycat structures throughout china.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the building is popularity has borne many copycat structures throughout china', 'the building is popularity has borne many copicat structures throughout china', 'the building is popularity has borne many copycat structures throughout china', 'the building is popularity has borne many copicat structures throughout china', 'the building is popularity has borne many copycat structures throughout china']
|
|
[
"doctor theron let us do resides in toledo or hire",
"doctor theron let us do resides in toledo ohio",
"doctor theron let us do resides in toledo or higher",
"doctor thuron let us do resides in toledo ohio",
"doctor turin let us do resides in toledo or hire"
] |
doctor tyrone bledsoe resides in toledo ohio
|
doctor theron let us do resides in toledo or hire.
|
doctor theron let us do resides in toledo ohio. doctor theron let us do resides in toledo or higher. doctor thuron let us do resides in toledo ohio. doctor turin let us do resides in toledo or hire.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['doctor theron let us do resides in toledo or hire', 'doctor theron let us do resides in toledo ohio', 'doctor theron let us do resides in toledo or higher', 'doctor thuron let us do resides in toledo ohio', 'doctor turin let us do resides in toledo or hire']
|
|
[
"franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed",
"franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed",
"franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed",
"franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed",
"franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed"
] |
franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed
|
franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed.
|
franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed. franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed. franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed. franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed', 'franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed', 'franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed', 'franklin roosevelt married eleanor roosevelt theodore is niece and his own fiveth cousin once removed', 'franklin roosevelt married eleanor roosevelt theodore is niece and his own fifth cousin once removed']
|
|
[
"the firefighter is on the roof",
"a fire fighter is on the roof",
"the fire fighter is on the roof",
"a firefighter is on the roof",
"a firefighter is on the roof"
] |
a firefighter is on the roof
|
the firefighter is on the roof.
|
a fire fighter is on the roof. the fire fighter is on the roof. a firefighter is on the roof. a firefighter is on the roof.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the firefighter is on the roof', 'a fire fighter is on the roof', 'the fire fighter is on the roof', 'a firefighter is on the roof', 'a firefighter is on the roof']
|
|
[
"the title of the show was also kept on the wraps as well",
"the title of the show was also kept under wraps as well",
"the title of the show is also kept on the wraps as well",
"the title of the show was also kept on the rap as well",
"the title of the show was also kept on the wraps as well"
] |
the title of the show was also kept under wraps as well
|
the title of the show was also kept on the wraps as well.
|
the title of the show was also kept under wraps as well. the title of the show is also kept on the wraps as well. the title of the show was also kept on the rap as well. the title of the show was also kept on the wraps as well.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the title of the show was also kept on the wraps as well', 'the title of the show was also kept under wraps as well', 'the title of the show is also kept on the wraps as well', 'the title of the show was also kept on the rap as well', 'the title of the show was also kept on the wraps as well']
|
|
[
"maccam called for labor standards legislation and the public ownership of utilities",
"maccam called for labor standards legislation and the public ownership of utilities",
"maccam called for labor standards legislation and the public ownership of utilities",
"maccam called for labor standards legislation and the public ownership of utilities",
"maccam called for labor standards legislation and the public ownership of utilities"
] |
mckim called for labor standards legislation and the public ownership of utilities
|
maccam called for labor standards legislation and the public ownership of utilities.
|
maccam called for labor standards legislation and the public ownership of utilities. maccam called for labor standards legislation and the public ownership of utilities. maccam called for labor standards legislation and the public ownership of utilities. maccam called for labor standards legislation and the public ownership of utilities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['maccam called for labor standards legislation and the public ownership of utilities', 'maccam called for labor standards legislation and the public ownership of utilities', 'maccam called for labor standards legislation and the public ownership of utilities', 'maccam called for labor standards legislation and the public ownership of utilities', 'maccam called for labor standards legislation and the public ownership of utilities']
|
|
[
"turtin died at bide food",
"turtle and dyed it by the food",
"turtin died at bide food",
"turtin died at bidefoot",
"turt and dyed it by the food"
] |
turton died at bideford
|
turtin died at bide food.
|
turtle and dyed it by the food. turtin died at bide food. turtin died at bidefoot. turt and dyed it by the food.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['turtin died at bide food', 'turtle and dyed it by the food', 'turtin died at bide food', 'turtin died at bidefoot', 'turt and dyed it by the food']
|
|
[
"he has just been crafted",
"he is just been crafted",
"he is just been crafted",
"he has just been crafted",
"he has just been crafted"
] |
he is just been drafted
|
he has just been crafted.
|
he is just been crafted. he is just been crafted. he has just been crafted. he has just been crafted.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has just been crafted', 'he is just been crafted', 'he is just been crafted', 'he has just been crafted', 'he has just been crafted']
|
|
[
"in the meantime plan our fine works was least to provide big iron for the forge",
"in the meantime plan our fine works was least to provide pick iron for the forge",
"in the meantime applying our fine works was least to provide big iron for the forge",
"in the meantime plan our fine works was least to provide pig iron for the forge",
"in the meantime plan our fine works was at least to provide big iron for the forge"
] |
in the meantime plymouth ironworks was leased to provide pig iron for the forge
|
in the meantime plan our fine works was least to provide big iron for the forge.
|
in the meantime plan our fine works was least to provide pick iron for the forge. in the meantime applying our fine works was least to provide big iron for the forge. in the meantime plan our fine works was least to provide pig iron for the forge. in the meantime plan our fine works was at least to provide big iron for the forge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the meantime plan our fine works was least to provide big iron for the forge', 'in the meantime plan our fine works was least to provide pick iron for the forge', 'in the meantime applying our fine works was least to provide big iron for the forge', 'in the meantime plan our fine works was least to provide pig iron for the forge', 'in the meantime plan our fine works was at least to provide big iron for the forge']
|
|
[
"he is also buried here",
"he is also buried here",
"he is also buried here",
"he is also buried here",
"he is also buried here"
] |
he is also buried here
|
he is also buried here.
|
he is also buried here. he is also buried here. he is also buried here. he is also buried here.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is also buried here', 'he is also buried here', 'he is also buried here', 'he is also buried here', 'he is also buried here']
|
|
[
"a group of people walking on motorcycles down the road wearing helmets",
"the group of people walking on motorcycles down the road wearing helmets",
"the group of people who are outing on motorcycles down the road wearing helmets",
"the group of people walking on microsoft was down the road wearing helmets",
"a group of people who are outing on motorcycles down the road wearing helmets"
] |
a group of people riding on motorcycles down the road wearing helmets
|
a group of people walking on motorcycles down the road wearing helmets.
|
the group of people walking on motorcycles down the road wearing helmets. the group of people who are outing on motorcycles down the road wearing helmets. the group of people walking on microsoft was down the road wearing helmets. a group of people who are outing on motorcycles down the road wearing helmets.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a group of people walking on motorcycles down the road wearing helmets', 'the group of people walking on motorcycles down the road wearing helmets', 'the group of people who are outing on motorcycles down the road wearing helmets', 'the group of people walking on microsoft was down the road wearing helmets', 'a group of people who are outing on motorcycles down the road wearing helmets']
|
|
[
"omaha began the process of annexing elkhorn",
"omaha began the process of annexing elkhon",
"omaha began the process of annexing elkorn",
"omaha began the process of an x ing elkhorn",
"omaha began the process of an x ing elkhon"
] |
omaha began the process of annexing elkhorn
|
omaha began the process of annexing elkhorn.
|
omaha began the process of annexing elkhon. omaha began the process of annexing elkorn. omaha began the process of an x ing elkhorn. omaha began the process of an x ing elkhon.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['omaha began the process of annexing elkhorn', 'omaha began the process of annexing elkhon', 'omaha began the process of annexing elkorn', 'omaha began the process of an x ing elkhorn', 'omaha began the process of an x ing elkhon']
|
|
[
"the night consoles elsa",
"the night consoles elsa",
"the night consoles elsa",
"the knight consoles elsa",
"the night consoles elsa"
] |
the knight consoles elsa
|
the night consoles elsa.
|
the night consoles elsa. the night consoles elsa. the knight consoles elsa. the night consoles elsa.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the night consoles elsa', 'the night consoles elsa', 'the night consoles elsa', 'the knight consoles elsa', 'the night consoles elsa']
|
|
[
"there were no fatalities or serious injuries",
"there were no fatalities or serious injuries",
"there were no fatalities or serious injuries",
"there were no fatalities or serious injuries",
"there were no fatalities or serious injuries"
] |
there were no fatalities or serious injuries
|
there were no fatalities or serious injuries.
|
there were no fatalities or serious injuries. there were no fatalities or serious injuries. there were no fatalities or serious injuries. there were no fatalities or serious injuries.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were no fatalities or serious injuries', 'there were no fatalities or serious injuries', 'there were no fatalities or serious injuries', 'there were no fatalities or serious injuries', 'there were no fatalities or serious injuries']
|
|
[
"for security reasons notice that it is all out inside the deep positive tree grounds",
"for security reasons notice it is all out inside the deep positive tree grounds",
"for security reasons notice it is all out inside the repository grounds",
"for security reasons notice it is all out inside the liposetry grounds",
"for security reasons no visitors are out inside the deep positive tree grounds"
] |
for security reasons no visitors are allowed inside the depository grounds
|
for security reasons notice that it is all out inside the deep positive tree grounds.
|
for security reasons notice it is all out inside the deep positive tree grounds. for security reasons notice it is all out inside the repository grounds. for security reasons notice it is all out inside the liposetry grounds. for security reasons no visitors are out inside the deep positive tree grounds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for security reasons notice that it is all out inside the deep positive tree grounds', 'for security reasons notice it is all out inside the deep positive tree grounds', 'for security reasons notice it is all out inside the repository grounds', 'for security reasons notice it is all out inside the liposetry grounds', 'for security reasons no visitors are out inside the deep positive tree grounds']
|
|
[
"during where the parts might be connected by hooks and eyes",
"during where the parts might be connected by hooks and ives",
"during where the parts might be connected by hooks and knives",
"during wear the parts might be connected by hooks and eyes",
"during where the parts might be connected by hooks and eyes"
] |
during wear the parts might be connected by hooks and eyes
|
during where the parts might be connected by hooks and eyes.
|
during where the parts might be connected by hooks and ives. during where the parts might be connected by hooks and knives. during wear the parts might be connected by hooks and eyes. during where the parts might be connected by hooks and eyes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during where the parts might be connected by hooks and eyes', 'during where the parts might be connected by hooks and ives', 'during where the parts might be connected by hooks and knives', 'during wear the parts might be connected by hooks and eyes', 'during where the parts might be connected by hooks and eyes']
|
|
[
"a group of construction workers lifting above the top",
"a group of construction workers lifting a bathtub",
"a group of construction workers lifting above top",
"a group of construction workers lifting above the tub",
"a group of construction work is lifting above top"
] |
a group of constructions workers lifting a bathtub
|
a group of construction workers lifting above the top.
|
a group of construction workers lifting a bathtub. a group of construction workers lifting above top. a group of construction workers lifting above the tub. a group of construction work is lifting above top.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a group of construction workers lifting above the top', 'a group of construction workers lifting a bathtub', 'a group of construction workers lifting above top', 'a group of construction workers lifting above the tub', 'a group of construction work is lifting above top']
|
|
[
"the city is served by the sabinell independent school district",
"the city is served by the sabinell independent school district",
"the city is served by the sabinell independence school district",
"the city is served by the sabinelle independent school district",
"the city is served by the sabinal independent school district"
] |
the city is served by the sabinal independent school district
|
the city is served by the sabinell independent school district.
|
the city is served by the sabinell independent school district. the city is served by the sabinell independence school district. the city is served by the sabinelle independent school district. the city is served by the sabinal independent school district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city is served by the sabinell independent school district', 'the city is served by the sabinell independent school district', 'the city is served by the sabinell independence school district', 'the city is served by the sabinelle independent school district', 'the city is served by the sabinal independent school district']
|
|
[
"measles killed many deaths",
"measles cost many debts",
"measels killed many deaths",
"measles killed many deaths",
"measle is killed many deaths"
] |
measles caused many deaths
|
measles killed many deaths.
|
measles cost many debts. measels killed many deaths. measles killed many deaths. measle is killed many deaths.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['measles killed many deaths', 'measles cost many debts', 'measels killed many deaths', 'measles killed many deaths', 'measle is killed many deaths']
|
|
[
"emergency phones are also found in elevators where entrapment is very common",
"emergency phones are also found in elevators where entrapment is very common",
"emergency phones are also found in elevators where entrapment is very common",
"emergency phones are also found in elevators where entrapment is very common",
"emergency phones are also found in elevators where entrapment is very common"
] |
emergency phones are also found in elevators where entrapment is very common
|
emergency phones are also found in elevators where entrapment is very common.
|
emergency phones are also found in elevators where entrapment is very common. emergency phones are also found in elevators where entrapment is very common. emergency phones are also found in elevators where entrapment is very common. emergency phones are also found in elevators where entrapment is very common.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['emergency phones are also found in elevators where entrapment is very common', 'emergency phones are also found in elevators where entrapment is very common', 'emergency phones are also found in elevators where entrapment is very common', 'emergency phones are also found in elevators where entrapment is very common', 'emergency phones are also found in elevators where entrapment is very common']
|
|
[
"in that sense the pj model was a dynamic model",
"in that sense the pj model was a dynamic model",
"in that sense the pj model was a dynamic model",
"in that sense the pj model was a dynamic model",
"in that sense the pj model was a dynamic model"
] |
in that sense the p j model was a dynamic model
|
in that sense the pj model was a dynamic model.
|
in that sense the pj model was a dynamic model. in that sense the pj model was a dynamic model. in that sense the pj model was a dynamic model. in that sense the pj model was a dynamic model.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in that sense the pj model was a dynamic model', 'in that sense the pj model was a dynamic model', 'in that sense the pj model was a dynamic model', 'in that sense the pj model was a dynamic model', 'in that sense the pj model was a dynamic model']
|
|
[
"the tribune newspaper in humble texas is one example",
"the tribune newspaper in humble texas is one example",
"the tribune newspaper in humble texas is one example",
"the tribune newspaper in humble texas is one example",
"the tribune newspaper in humble texas is one example"
] |
the tribune newspaper in humble texas is one example
|
the tribune newspaper in humble texas is one example.
|
the tribune newspaper in humble texas is one example. the tribune newspaper in humble texas is one example. the tribune newspaper in humble texas is one example. the tribune newspaper in humble texas is one example.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the tribune newspaper in humble texas is one example', 'the tribune newspaper in humble texas is one example', 'the tribune newspaper in humble texas is one example', 'the tribune newspaper in humble texas is one example', 'the tribune newspaper in humble texas is one example']
|
|
[
"no houses are listed beneath each plan",
"no one houses are listed beneath each plan",
"no houses are listed beneath each clan",
"known houses are listed beneath each plan",
"no one houses are listed beneath each clan"
] |
known houses are listed beneath each clan
|
no houses are listed beneath each plan.
|
no one houses are listed beneath each plan. no houses are listed beneath each clan. known houses are listed beneath each plan. no one houses are listed beneath each clan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['no houses are listed beneath each plan', 'no one houses are listed beneath each plan', 'no houses are listed beneath each clan', 'known houses are listed beneath each plan', 'no one houses are listed beneath each clan']
|
|
[
"another lot of eight was ordered before the first six arrived",
"another lot of eight was ordered before the first six arrived",
"another lot of eight was ordered before the onest six arrived",
"another lot of eight was ordered before the first six arrived",
"another lot of eight was ordered before the onest six arrived"
] |
another lot of eight was ordered before the first six arrived
|
another lot of eight was ordered before the first six arrived.
|
another lot of eight was ordered before the first six arrived. another lot of eight was ordered before the onest six arrived. another lot of eight was ordered before the first six arrived. another lot of eight was ordered before the onest six arrived.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another lot of eight was ordered before the first six arrived', 'another lot of eight was ordered before the first six arrived', 'another lot of eight was ordered before the onest six arrived', 'another lot of eight was ordered before the first six arrived', 'another lot of eight was ordered before the onest six arrived']
|
|
[
"many but not all milters can be used with post fix out of the box",
"many but not all milters can be used with post fix out of the box",
"many but not all milters can be used with post fix out of the box",
"many but not all milters can be used with post fix out of the box",
"many but not all milters can be used with postfix out of the box"
] |
many but not all milters can be used with postfix out of the box
|
many but not all milters can be used with post fix out of the box.
|
many but not all milters can be used with post fix out of the box. many but not all milters can be used with post fix out of the box. many but not all milters can be used with post fix out of the box. many but not all milters can be used with postfix out of the box.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many but not all milters can be used with post fix out of the box', 'many but not all milters can be used with post fix out of the box', 'many but not all milters can be used with post fix out of the box', 'many but not all milters can be used with post fix out of the box', 'many but not all milters can be used with postfix out of the box']
|
|
[
"the primary ethnicities are mainly italian and irish",
"the primary ethnicities are mainly italian and irish",
"the primary ethnicities a mainly italian and irish",
"the primary ethnicities a mainly italian and irish",
"the primary ethnicities are mainly italian and irish"
] |
the primary ethnicities are mainly italian and irish
|
the primary ethnicities are mainly italian and irish.
|
the primary ethnicities are mainly italian and irish. the primary ethnicities a mainly italian and irish. the primary ethnicities a mainly italian and irish. the primary ethnicities are mainly italian and irish.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the primary ethnicities are mainly italian and irish', 'the primary ethnicities are mainly italian and irish', 'the primary ethnicities a mainly italian and irish', 'the primary ethnicities a mainly italian and irish', 'the primary ethnicities are mainly italian and irish']
|
|
[
"john claudier is best food third son of john best food was a politician",
"john claudier is best food third son of john best food was a politician",
"john claudier is best food third son of john best food was a politician",
"john claudier is best food third sun of john best food was a politician",
"john claudius veresford third son of john veresford was a politician"
] |
john claudius beresford third son of john beresford was a politician
|
john claudier is best food third son of john best food was a politician.
|
john claudier is best food third son of john best food was a politician. john claudier is best food third son of john best food was a politician. john claudier is best food third sun of john best food was a politician. john claudius veresford third son of john veresford was a politician.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['john claudier is best food third son of john best food was a politician', 'john claudier is best food third son of john best food was a politician', 'john claudier is best food third son of john best food was a politician', 'john claudier is best food third sun of john best food was a politician', 'john claudius veresford third son of john veresford was a politician']
|
|
[
"however the speech was credited on the final videos along with the speech",
"however speech was credited on the final videos along with the speech",
"however the speech was credited on the final day along with the speech",
"however the speech was credited on the final release along with the speech",
"however speech was credited on the final release along with the speech"
] |
however spitz was credited on the final release along with daisley
|
however the speech was credited on the final videos along with the speech.
|
however speech was credited on the final videos along with the speech. however the speech was credited on the final day along with the speech. however the speech was credited on the final release along with the speech. however speech was credited on the final release along with the speech.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the speech was credited on the final videos along with the speech', 'however speech was credited on the final videos along with the speech', 'however the speech was credited on the final day along with the speech', 'however the speech was credited on the final release along with the speech', 'however speech was credited on the final release along with the speech']
|
|
[
"he is regarded as a leader of the first and seconding tifadas",
"he is regarded as a leader of the first and second in two fathers",
"he is regarded as a leader of the first and seconding tifadhas",
"he is regarded as a leader of the first and second in tea fathers",
"he is regarded as a leader of the first and second in tifadas"
] |
he is regarded as a leader of the first and second intifadas
|
he is regarded as a leader of the first and seconding tifadas.
|
he is regarded as a leader of the first and second in two fathers. he is regarded as a leader of the first and seconding tifadhas. he is regarded as a leader of the first and second in tea fathers. he is regarded as a leader of the first and second in tifadas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is regarded as a leader of the first and seconding tifadas', 'he is regarded as a leader of the first and second in two fathers', 'he is regarded as a leader of the first and seconding tifadhas', 'he is regarded as a leader of the first and second in tea fathers', 'he is regarded as a leader of the first and second in tifadas']
|
|
[
"both films are unconnected to the killmaster book series",
"both films are unconnected to the killmaster book series",
"both films are unconnected to the killmaster book series",
"both films are unconnected to the kielmaster book series",
"both films are unconnected to the killmask book series"
] |
both films are unconnected to the killmaster book series
|
both films are unconnected to the killmaster book series.
|
both films are unconnected to the killmaster book series. both films are unconnected to the killmaster book series. both films are unconnected to the kielmaster book series. both films are unconnected to the killmask book series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both films are unconnected to the killmaster book series', 'both films are unconnected to the killmaster book series', 'both films are unconnected to the killmaster book series', 'both films are unconnected to the kielmaster book series', 'both films are unconnected to the killmask book series']
|
|
[
"it was one of the more successful craft guilds of its time",
"it was one of the more successful craft gills of its time",
"it was one of the more successful craft guilds of it is time",
"it was one of the more successful craft gills of its time",
"it was one of the more successful craft guilds of its time"
] |
it was one of the more successful craft guilds of its time
|
it was one of the more successful craft guilds of its time.
|
it was one of the more successful craft gills of its time. it was one of the more successful craft guilds of it is time. it was one of the more successful craft gills of its time. it was one of the more successful craft guilds of its time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was one of the more successful craft guilds of its time', 'it was one of the more successful craft gills of its time', 'it was one of the more successful craft guilds of it is time', 'it was one of the more successful craft gills of its time', 'it was one of the more successful craft guilds of its time']
|
|
[
"but it is carried open and chiseled to punch legs",
"but it is carried open and chiseled to patch legs",
"but it is carried open and chisels to punch legs",
"but it is carried open and chisels to patch legs",
"but it is carried open and chisels to patch links"
] |
boats carried oakum and chisels to patch leaks
|
but it is carried open and chiseled to punch legs.
|
but it is carried open and chiseled to patch legs. but it is carried open and chisels to punch legs. but it is carried open and chisels to patch legs. but it is carried open and chisels to patch links.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but it is carried open and chiseled to punch legs', 'but it is carried open and chiseled to patch legs', 'but it is carried open and chisels to punch legs', 'but it is carried open and chisels to patch legs', 'but it is carried open and chisels to patch links']
|
|
[
"she is a little love at court after the death of her parents",
"she is a little love at call after the death of her parents",
"she is little love at court after the death of her parents",
"she will love at court after the death of her parents",
"she is little love at call after the death of her parents"
] |
she was little loved at court after the death of her parents
|
she is a little love at court after the death of her parents.
|
she is a little love at call after the death of her parents. she is little love at court after the death of her parents. she will love at court after the death of her parents. she is little love at call after the death of her parents.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is a little love at court after the death of her parents', 'she is a little love at call after the death of her parents', 'she is little love at court after the death of her parents', 'she will love at court after the death of her parents', 'she is little love at call after the death of her parents']
|
|
[
"the governor appoints members of board each to himself seven years",
"the governor appoints members of board each to himself seven years",
"the governor appoints members of board each to himself seven years",
"the governor appoints members of board each himself seven years",
"the governor points members of board each to himself seven years"
] |
the governor appoints members of the board each of whom serve seven years
|
the governor appoints members of board each to himself seven years.
|
the governor appoints members of board each to himself seven years. the governor appoints members of board each to himself seven years. the governor appoints members of board each himself seven years. the governor points members of board each to himself seven years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the governor appoints members of board each to himself seven years', 'the governor appoints members of board each to himself seven years', 'the governor appoints members of board each to himself seven years', 'the governor appoints members of board each himself seven years', 'the governor points members of board each to himself seven years']
|
|
[
"baba was born in galbaga in connecticut",
"baba was born in galbaga in kanataka",
"baba was born in galbaga in karnataka",
"baba was born in galbaga in kanatikah",
"baba was born in galbaga in kanataka"
] |
babar was born in gulbarga in karnataka
|
baba was born in galbaga in connecticut.
|
baba was born in galbaga in kanataka. baba was born in galbaga in karnataka. baba was born in galbaga in kanatikah. baba was born in galbaga in kanataka.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['baba was born in galbaga in connecticut', 'baba was born in galbaga in kanataka', 'baba was born in galbaga in karnataka', 'baba was born in galbaga in kanatikah', 'baba was born in galbaga in kanataka']
|
|
[
"the first macan suras are suras that have been revealed throughout that period",
"the first macan suras are suras that have been revealed throughout that period",
"the first meccan suras are suras that have been revealed throughout that period",
"the first mackenzieurs are suras that have been revealed throughout that period",
"the first mechanzuras are suras that have been revealed throughout that period"
] |
the first meccan surahs are surahs that have been revealed throughout that period
|
the first macan suras are suras that have been revealed throughout that period.
|
the first macan suras are suras that have been revealed throughout that period. the first meccan suras are suras that have been revealed throughout that period. the first mackenzieurs are suras that have been revealed throughout that period. the first mechanzuras are suras that have been revealed throughout that period.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the first macan suras are suras that have been revealed throughout that period', 'the first macan suras are suras that have been revealed throughout that period', 'the first meccan suras are suras that have been revealed throughout that period', 'the first mackenzieurs are suras that have been revealed throughout that period', 'the first mechanzuras are suras that have been revealed throughout that period']
|
|
[
"he joined the law for our province",
"he joined the north harbor province",
"he joined on the law for our province",
"he joined the north harbor provinces",
"he joined on the law for our province"
] |
he joined from the north harbor province
|
he joined the law for our province.
|
he joined the north harbor province. he joined on the law for our province. he joined the north harbor provinces. he joined on the law for our province.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he joined the law for our province', 'he joined the north harbor province', 'he joined on the law for our province', 'he joined the north harbor provinces', 'he joined on the law for our province']
|
|
[
"his mother her grandmother was russian from saint petersburg",
"his mother and her grandmother was russian from saint petersburg",
"his maternal grandmother was russian from saint petersburg",
"his mother and grandmother was russian from saint petersburg",
"his mother grandmother was russian from saint petersburg"
] |
his maternal grandmother was russian from saint petersburg
|
his mother her grandmother was russian from saint petersburg.
|
his mother and her grandmother was russian from saint petersburg. his maternal grandmother was russian from saint petersburg. his mother and grandmother was russian from saint petersburg. his mother grandmother was russian from saint petersburg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his mother her grandmother was russian from saint petersburg', 'his mother and her grandmother was russian from saint petersburg', 'his maternal grandmother was russian from saint petersburg', 'his mother and grandmother was russian from saint petersburg', 'his mother grandmother was russian from saint petersburg']
|
|
[
"referee blows whistle as basketball player attempts to block another with the ball",
"rifferied blows whistle as basketball player attempts to block another with the ball",
"referee blows whistle as basket ball player attempts to block another with the ball",
"riff reade blows whistle as basketball player attempts to block another with the ball",
"riff reed blows whistle as basketball player attempts to block another with the ball"
] |
referee blows whistle as basketball player attempts to block another with the ball
|
referee blows whistle as basketball player attempts to block another with the ball.
|
rifferied blows whistle as basketball player attempts to block another with the ball. referee blows whistle as basket ball player attempts to block another with the ball. riff reade blows whistle as basketball player attempts to block another with the ball. riff reed blows whistle as basketball player attempts to block another with the ball.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['referee blows whistle as basketball player attempts to block another with the ball', 'rifferied blows whistle as basketball player attempts to block another with the ball', 'referee blows whistle as basket ball player attempts to block another with the ball', 'riff reade blows whistle as basketball player attempts to block another with the ball', 'riff reed blows whistle as basketball player attempts to block another with the ball']
|
|
[
"however a few produces take the variety seriously",
"however a few producers take the variety seriously",
"however a few produces take the variety seriously",
"however a few producers take the variety seriously",
"however a few produces take the variety seriously"
] |
however a few producers take the variety seriously
|
however a few produces take the variety seriously.
|
however a few producers take the variety seriously. however a few produces take the variety seriously. however a few producers take the variety seriously. however a few produces take the variety seriously.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however a few produces take the variety seriously', 'however a few producers take the variety seriously', 'however a few produces take the variety seriously', 'however a few producers take the variety seriously', 'however a few produces take the variety seriously']
|
|
[
"furch was the first woman from orange county to win an olympic gold medal",
"fertch was the first woman from orange county to win an olympic gold medal",
"furcht was the first woman from orange county to win an olympic gold medal",
"furcht was the first woman from orange county to win an olympic gold medal",
"furcht was the first woman from orange county to win an olympic gold medal"
] |
furtsch was the first woman from orange county to win an olympic gold medal
|
furch was the first woman from orange county to win an olympic gold medal.
|
fertch was the first woman from orange county to win an olympic gold medal. furcht was the first woman from orange county to win an olympic gold medal. furcht was the first woman from orange county to win an olympic gold medal. furcht was the first woman from orange county to win an olympic gold medal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['furch was the first woman from orange county to win an olympic gold medal', 'fertch was the first woman from orange county to win an olympic gold medal', 'furcht was the first woman from orange county to win an olympic gold medal', 'furcht was the first woman from orange county to win an olympic gold medal', 'furcht was the first woman from orange county to win an olympic gold medal']
|
|
[
"the tunnel is high school of glasgow rubby camp every summer",
"the tunnel is high school of glasgow robby camp every summer",
"the tunnel is a high school of glasgow rubby camp every summer",
"the tunnel is high school of glasgow robby camp every summer",
"the tunnel is high school of glasgow rubbe camp every summer"
] |
the town hosts the high school of glasgow rugby camp every summer
|
the tunnel is high school of glasgow rubby camp every summer.
|
the tunnel is high school of glasgow robby camp every summer. the tunnel is a high school of glasgow rubby camp every summer. the tunnel is high school of glasgow robby camp every summer. the tunnel is high school of glasgow rubbe camp every summer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the tunnel is high school of glasgow rubby camp every summer', 'the tunnel is high school of glasgow robby camp every summer', 'the tunnel is a high school of glasgow rubby camp every summer', 'the tunnel is high school of glasgow robby camp every summer', 'the tunnel is high school of glasgow rubbe camp every summer']
|
|
[
"the umbra is not compulsory but highly recommended",
"the umbra is not compulsory but highly recommended",
"the umrah is not compulsory but highly recommended",
"the umra is not compulsory but highly recommended",
"the umbra is not compulsory but highly recommended"
] |
the umrah is not compulsory but highly recommended
|
the umbra is not compulsory but highly recommended.
|
the umbra is not compulsory but highly recommended. the umrah is not compulsory but highly recommended. the umra is not compulsory but highly recommended. the umbra is not compulsory but highly recommended.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the umbra is not compulsory but highly recommended', 'the umbra is not compulsory but highly recommended', 'the umrah is not compulsory but highly recommended', 'the umra is not compulsory but highly recommended', 'the umbra is not compulsory but highly recommended']
|
|
[
"it is named after its large settlement the tano coralie",
"it is named after its large settlement the tano corally",
"it is named after its large settlement the tanokorali",
"it is named after its large settlement the tano corle",
"it is named after its large settlement the tano corlea"
] |
it is named after its largest settlement the town of chorley
|
it is named after its large settlement the tano coralie.
|
it is named after its large settlement the tano corally. it is named after its large settlement the tanokorali. it is named after its large settlement the tano corle. it is named after its large settlement the tano corlea.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is named after its large settlement the tano coralie', 'it is named after its large settlement the tano corally', 'it is named after its large settlement the tanokorali', 'it is named after its large settlement the tano corle', 'it is named after its large settlement the tano corlea']
|
|
[
"he then traveled extensively in europe africa and the orient",
"he then traveled extensively in europe africa and the orient",
"he then traveled extensively in europe africa and the orient",
"he then traveled extensively in europe africa and the orient",
"he then traveled extensively in europe africa and the orient"
] |
he then traveled extensively in europe africa and the orient
|
he then traveled extensively in europe africa and the orient.
|
he then traveled extensively in europe africa and the orient. he then traveled extensively in europe africa and the orient. he then traveled extensively in europe africa and the orient. he then traveled extensively in europe africa and the orient.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he then traveled extensively in europe africa and the orient', 'he then traveled extensively in europe africa and the orient', 'he then traveled extensively in europe africa and the orient', 'he then traveled extensively in europe africa and the orient', 'he then traveled extensively in europe africa and the orient']
|
|
[
"swanson south chairman of the swan group of companies",
"swanson south chairman of the swanson group of companies",
"swan south south chairman of the swan group of companies",
"one third chairman of the swan group of companies",
"swanson south chairman of the swan group of companies"
] |
swan serves as chairman of the swan group of companies
|
swanson south chairman of the swan group of companies.
|
swanson south chairman of the swanson group of companies. swan south south chairman of the swan group of companies. one third chairman of the swan group of companies. swanson south chairman of the swan group of companies.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['swanson south chairman of the swan group of companies', 'swanson south chairman of the swanson group of companies', 'swan south south chairman of the swan group of companies', 'one third chairman of the swan group of companies', 'swanson south chairman of the swan group of companies']
|
|
[
"robin is voiced by dessier mccartney in young disgies",
"robin is voiced by dessier mccartney in young this g is",
"robin is voiced by dessier mccartney in young dish g is",
"robin is voiced by dessier mccartney in young disgies",
"robin is voiced by dessier mccartney in young dess g is"
] |
robin is voiced by jesse mccartney in young justice
|
robin is voiced by dessier mccartney in young disgies.
|
robin is voiced by dessier mccartney in young this g is. robin is voiced by dessier mccartney in young dish g is. robin is voiced by dessier mccartney in young disgies. robin is voiced by dessier mccartney in young dess g is.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['robin is voiced by dessier mccartney in young disgies', 'robin is voiced by dessier mccartney in young this g is', 'robin is voiced by dessier mccartney in young dish g is', 'robin is voiced by dessier mccartney in young disgies', 'robin is voiced by dessier mccartney in young dess g is']
|
|
[
"gerberon was one of the most prolific writers of the morrist congregation",
"gerberon was one of the most prolific writers of the morris congregation",
"gerberon was one of the most prolific writers of the moritz congregation",
"gerberon was one of the most prolific writers of the morist congregation",
"gerberon was one of the most prolific writers of the morist congregation"
] |
gerberon was one of the most prolific writers of the maurist congregation
|
gerberon was one of the most prolific writers of the morrist congregation.
|
gerberon was one of the most prolific writers of the morris congregation. gerberon was one of the most prolific writers of the moritz congregation. gerberon was one of the most prolific writers of the morist congregation. gerberon was one of the most prolific writers of the morist congregation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['gerberon was one of the most prolific writers of the morrist congregation', 'gerberon was one of the most prolific writers of the morris congregation', 'gerberon was one of the most prolific writers of the moritz congregation', 'gerberon was one of the most prolific writers of the morist congregation', 'gerberon was one of the most prolific writers of the morist congregation']
|
|
[
"most of the time was taken up in shooting glass balls filled with feathers",
"most of the time was taken up in shooting class balls filled with feathers",
"most of the time was taken up and shooting glass balls filled with feathers",
"most of the time was taken up in shooting glass balls filled with feathers",
"most of the time was taken up in shooting glass balls filled with feathers"
] |
most of the time was taken up in shooting glass balls filled with feathers
|
most of the time was taken up in shooting glass balls filled with feathers.
|
most of the time was taken up in shooting class balls filled with feathers. most of the time was taken up and shooting glass balls filled with feathers. most of the time was taken up in shooting glass balls filled with feathers. most of the time was taken up in shooting glass balls filled with feathers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most of the time was taken up in shooting glass balls filled with feathers', 'most of the time was taken up in shooting class balls filled with feathers', 'most of the time was taken up and shooting glass balls filled with feathers', 'most of the time was taken up in shooting glass balls filled with feathers', 'most of the time was taken up in shooting glass balls filled with feathers']
|
|
[
"a dog holding a frisbee walking in the water",
"a dog holding a frisbee walking in the water",
"a dog holding a frisbee walking in the water",
"the dog holding a frisbee walking in the water",
"a dog holding a frisbee walking in the water"
] |
a dog holding a frisbee walking in the water
|
a dog holding a frisbee walking in the water.
|
a dog holding a frisbee walking in the water. a dog holding a frisbee walking in the water. the dog holding a frisbee walking in the water. a dog holding a frisbee walking in the water.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a dog holding a frisbee walking in the water', 'a dog holding a frisbee walking in the water', 'a dog holding a frisbee walking in the water', 'the dog holding a frisbee walking in the water', 'a dog holding a frisbee walking in the water']
|
|
[
"the prime boost of both projects was promoter and businessmen cole j fisher",
"the prime boost of both projects was promoter and businessmen carl j fisher",
"the prime boost of both projects was promoter and businessmen called j fischer",
"the prime boost of both projects was promoter and businessmen called j fisher",
"the prime boost of both products was promoter and businessmen cole j fisher"
] |
the prime booster of both projects was promoter and businessman carl g fisher
|
the prime boost of both projects was promoter and businessmen cole j fisher.
|
the prime boost of both projects was promoter and businessmen carl j fisher. the prime boost of both projects was promoter and businessmen called j fischer. the prime boost of both projects was promoter and businessmen called j fisher. the prime boost of both products was promoter and businessmen cole j fisher.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the prime boost of both projects was promoter and businessmen cole j fisher', 'the prime boost of both projects was promoter and businessmen carl j fisher', 'the prime boost of both projects was promoter and businessmen called j fischer', 'the prime boost of both projects was promoter and businessmen called j fisher', 'the prime boost of both products was promoter and businessmen cole j fisher']
|
|
[
"it was named after david harry founder of harry school",
"it was named after david harry founder of harry school",
"it was named after david harris founder of harris school",
"it was named after david herr founder of herr school",
"it was named after david harris founder of harris school"
] |
it is named after david hare founder of hare school
|
it was named after david harry founder of harry school.
|
it was named after david harry founder of harry school. it was named after david harris founder of harris school. it was named after david herr founder of herr school. it was named after david harris founder of harris school.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was named after david harry founder of harry school', 'it was named after david harry founder of harry school', 'it was named after david harris founder of harris school', 'it was named after david herr founder of herr school', 'it was named after david harris founder of harris school']
|
|
[
"he was also prominent in the campaign to restore clevdon pier",
"it was also prominent in the campaign to restore clevdon pier",
"you was also prominent in the campaign to restore clevdon pier",
"he was also prominent in the campaign to restore clevidon pier",
"it was also prominent in the campaign to restore clevidon pier"
] |
he was also prominent in the campaign to restore clevedon pier
|
he was also prominent in the campaign to restore clevdon pier.
|
it was also prominent in the campaign to restore clevdon pier. you was also prominent in the campaign to restore clevdon pier. he was also prominent in the campaign to restore clevidon pier. it was also prominent in the campaign to restore clevidon pier.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was also prominent in the campaign to restore clevdon pier', 'it was also prominent in the campaign to restore clevdon pier', 'you was also prominent in the campaign to restore clevdon pier', 'he was also prominent in the campaign to restore clevidon pier', 'it was also prominent in the campaign to restore clevidon pier']
|
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