hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"the article cautiously advised quarry and ali of the results",
"the article cautiously advised corey and ali of the results",
"the article cautiously advises quarry and ali of the results",
"the article cautiously advised query and alley of the results",
"the article cautiously advised quarry and ali of the results"
] |
the article cautiously advised quarry and ali of the results
|
the article cautiously advised quarry and ali of the results.
|
the article cautiously advised corey and ali of the results. the article cautiously advises quarry and ali of the results. the article cautiously advised query and alley of the results. the article cautiously advised quarry and ali of the results.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the article cautiously advised quarry and ali of the results', 'the article cautiously advised corey and ali of the results', 'the article cautiously advises quarry and ali of the results', 'the article cautiously advised query and alley of the results', 'the article cautiously advised quarry and ali of the results']
|
|
[
"pleasures to only good in life and pain is the only evil",
"pleasure is the only good in life and pain is the only evil",
"pleasures to only good in life and pain is the only evil",
"pleasures the only good in life and pain is the only evil",
"pleasure is the only good in life and pain is the only evil"
] |
pleasure is the only good in life and pain is the only evil
|
pleasures to only good in life and pain is the only evil.
|
pleasure is the only good in life and pain is the only evil. pleasures to only good in life and pain is the only evil. pleasures the only good in life and pain is the only evil. pleasure is the only good in life and pain is the only evil.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pleasures to only good in life and pain is the only evil', 'pleasure is the only good in life and pain is the only evil', 'pleasures to only good in life and pain is the only evil', 'pleasures the only good in life and pain is the only evil', 'pleasure is the only good in life and pain is the only evil']
|
|
[
"children residing in the township are assigned to attend the survey area school district",
"children residing in the township are assigned to attend the survey area school wish suite",
"children residing in the township are assigned to attend this survey area school wish suite",
"children residing in the township are assigned to attend this survey area school district",
"children residing in the term sheep are assigned to attend the survey area school wish suite"
] |
children residing in the township are assigned to attend the sayre area school district
|
children residing in the township are assigned to attend the survey area school district.
|
children residing in the township are assigned to attend the survey area school wish suite. children residing in the township are assigned to attend this survey area school wish suite. children residing in the township are assigned to attend this survey area school district. children residing in the term sheep are assigned to attend the survey area school wish suite.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['children residing in the township are assigned to attend the survey area school district', 'children residing in the township are assigned to attend the survey area school wish suite', 'children residing in the township are assigned to attend this survey area school wish suite', 'children residing in the township are assigned to attend this survey area school district', 'children residing in the term sheep are assigned to attend the survey area school wish suite']
|
|
[
"kellogg foundation was listed as regional director of africa programs",
"kellogg foundation was listed as regional director of africa programs",
"kellogg foundation was listed as regional director of africa programs",
"kellogg foundation was listed as regional director of africa programs",
"kellogg foundation was listed as regional director of africa programs"
] |
kellogg foundation was listed as regional director of africa programs
|
kellogg foundation was listed as regional director of africa programs.
|
kellogg foundation was listed as regional director of africa programs. kellogg foundation was listed as regional director of africa programs. kellogg foundation was listed as regional director of africa programs. kellogg foundation was listed as regional director of africa programs.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kellogg foundation was listed as regional director of africa programs', 'kellogg foundation was listed as regional director of africa programs', 'kellogg foundation was listed as regional director of africa programs', 'kellogg foundation was listed as regional director of africa programs', 'kellogg foundation was listed as regional director of africa programs']
|
|
[
"however current copyright laws are proving to be ineffective at preventing sampling of content",
"however current copyright laws are proving to be ineffective at preventing salply of content",
"however current copyright laws are proving to be ineffective at preventing salary of content",
"however current copyright laws are proving to be ineffective at preventing sapling of content",
"however current copyright laws are proving to be ineffective at preventing sublime content"
] |
however current copyright laws are proving to be ineffective at preventing sampling of content
|
however current copyright laws are proving to be ineffective at preventing sampling of content.
|
however current copyright laws are proving to be ineffective at preventing salply of content. however current copyright laws are proving to be ineffective at preventing salary of content. however current copyright laws are proving to be ineffective at preventing sapling of content. however current copyright laws are proving to be ineffective at preventing sublime content.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however current copyright laws are proving to be ineffective at preventing sampling of content', 'however current copyright laws are proving to be ineffective at preventing salply of content', 'however current copyright laws are proving to be ineffective at preventing salary of content', 'however current copyright laws are proving to be ineffective at preventing sapling of content', 'however current copyright laws are proving to be ineffective at preventing sublime content']
|
|
[
"however depending on the school the length and diameter varied",
"however depending on the school the length and diameter varied",
"however depending on the school the length and diameter varied",
"however depending on the school the length and diameter varied",
"however depending on the school the length and diameter varied"
] |
however depending on the school the length and diameter varied
|
however depending on the school the length and diameter varied.
|
however depending on the school the length and diameter varied. however depending on the school the length and diameter varied. however depending on the school the length and diameter varied. however depending on the school the length and diameter varied.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however depending on the school the length and diameter varied', 'however depending on the school the length and diameter varied', 'however depending on the school the length and diameter varied', 'however depending on the school the length and diameter varied', 'however depending on the school the length and diameter varied']
|
|
[
"drink level one he is soft as a paramedic",
"dring level one he soft as a paramedic",
"dring level one he soft as a paramedic",
"during level one he soft as a paramedic",
"dring level one he suffers a paramedic"
] |
during world war one he served as a paramedic
|
drink level one he is soft as a paramedic.
|
dring level one he soft as a paramedic. dring level one he soft as a paramedic. during level one he soft as a paramedic. dring level one he suffers a paramedic.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['drink level one he is soft as a paramedic', 'dring level one he soft as a paramedic', 'dring level one he soft as a paramedic', 'during level one he soft as a paramedic', 'dring level one he suffers a paramedic']
|
|
[
"all these rooms have either been transformed into exhibition rooms or are in reserve",
"all these rooms have either been transformed into exhibition rooms or are in reserve",
"all these rooms have been transformed into exhibition rooms or in reserve",
"all these rooms have been transformed into exhibition rooms or in reserve",
"all these rooms have either been transformed into exhibition rooms or are in reserve"
] |
all these rooms have either been transformed into exhibition rooms or are in reserve
|
all these rooms have either been transformed into exhibition rooms or are in reserve.
|
all these rooms have either been transformed into exhibition rooms or are in reserve. all these rooms have been transformed into exhibition rooms or in reserve. all these rooms have been transformed into exhibition rooms or in reserve. all these rooms have either been transformed into exhibition rooms or are in reserve.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all these rooms have either been transformed into exhibition rooms or are in reserve', 'all these rooms have either been transformed into exhibition rooms or are in reserve', 'all these rooms have been transformed into exhibition rooms or in reserve', 'all these rooms have been transformed into exhibition rooms or in reserve', 'all these rooms have either been transformed into exhibition rooms or are in reserve']
|
|
[
"an extensive form trembling how perfect equilibrium is also a sequential equilibrium",
"an extensive form trembling hand perfect equilibrium is also a sequential equilibrium",
"an extensive form trembling hell perfect equilibrium is also a sequential equilibrium",
"an extensive form trembling hand proofed equilibrium is also a sequential equilibrium",
"an extensive form trembling how perfect equilibrium is also a sequential equilibrium"
] |
an extensive form trembling hand perfect equilibrium is also a sequential equilibrium
|
an extensive form trembling how perfect equilibrium is also a sequential equilibrium.
|
an extensive form trembling hand perfect equilibrium is also a sequential equilibrium. an extensive form trembling hell perfect equilibrium is also a sequential equilibrium. an extensive form trembling hand proofed equilibrium is also a sequential equilibrium. an extensive form trembling how perfect equilibrium is also a sequential equilibrium.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['an extensive form trembling how perfect equilibrium is also a sequential equilibrium', 'an extensive form trembling hand perfect equilibrium is also a sequential equilibrium', 'an extensive form trembling hell perfect equilibrium is also a sequential equilibrium', 'an extensive form trembling hand proofed equilibrium is also a sequential equilibrium', 'an extensive form trembling how perfect equilibrium is also a sequential equilibrium']
|
|
[
"it was completed and seven takes four of which were complete",
"it was completed in seven takes four of which were complete",
"it was completed and seven takes four of which were complete",
"it was completed in seven takes four which were complete",
"it was completed in seven takes for which were complete"
] |
it was completed in seven takes four of which were complete
|
it was completed and seven takes four of which were complete.
|
it was completed in seven takes four of which were complete. it was completed and seven takes four of which were complete. it was completed in seven takes four which were complete. it was completed in seven takes for which were complete.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was completed and seven takes four of which were complete', 'it was completed in seven takes four of which were complete', 'it was completed and seven takes four of which were complete', 'it was completed in seven takes four which were complete', 'it was completed in seven takes for which were complete']
|
|
[
"this komarka is located in the south eastern corner of the yuska province",
"this komarka is located in the south eastern corner of the yuska province",
"this comarca is located in the south eastern corner of the yuska province",
"this comarca is located in the south eastern corner of the yuska province",
"this comarca is located in the south eastern corner of the yuzka province"
] |
this comarca is located in the southeastern corner of the huesca province
|
this komarka is located in the south eastern corner of the yuska province.
|
this komarka is located in the south eastern corner of the yuska province. this comarca is located in the south eastern corner of the yuska province. this comarca is located in the south eastern corner of the yuska province. this comarca is located in the south eastern corner of the yuzka province.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this komarka is located in the south eastern corner of the yuska province', 'this komarka is located in the south eastern corner of the yuska province', 'this comarca is located in the south eastern corner of the yuska province', 'this comarca is located in the south eastern corner of the yuska province', 'this comarca is located in the south eastern corner of the yuzka province']
|
|
[
"the park is situated in the towns of ithaca unveiled and newveiled",
"the park is situated in the towns of ithaca unveiled and newveiled",
"the park is situated in the towns of ithaca unvealed and newvealed",
"the park is situated in the towns of ithaca unveiled and newveiled",
"the park is situated in the towns of ithaca unveiled a new field"
] |
the park is situated in the towns of ithaca enfield and newfield
|
the park is situated in the towns of ithaca unveiled and newveiled.
|
the park is situated in the towns of ithaca unveiled and newveiled. the park is situated in the towns of ithaca unvealed and newvealed. the park is situated in the towns of ithaca unveiled and newveiled. the park is situated in the towns of ithaca unveiled a new field.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the park is situated in the towns of ithaca unveiled and newveiled', 'the park is situated in the towns of ithaca unveiled and newveiled', 'the park is situated in the towns of ithaca unvealed and newvealed', 'the park is situated in the towns of ithaca unveiled and newveiled', 'the park is situated in the towns of ithaca unveiled a new field']
|
|
[
"hopps resigned before the museum opened",
"hops resigned before the museum opened",
"hubs resigned before the museum opened",
"hope is resigned before the museum opened",
"hops resigned before the museum opened"
] |
hopps resigned before the museum opened
|
hopps resigned before the museum opened.
|
hops resigned before the museum opened. hubs resigned before the museum opened. hope is resigned before the museum opened. hops resigned before the museum opened.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hopps resigned before the museum opened', 'hops resigned before the museum opened', 'hubs resigned before the museum opened', 'hope is resigned before the museum opened', 'hops resigned before the museum opened']
|
|
[
"it is situated on and named after the river torrage",
"it is situated on and named after the river torage",
"it is situated on and named after the river torridge",
"it is situated on and named after the river torridge",
"it is situated on and named after the rivetorage"
] |
it is situated on and named after the river torridge
|
it is situated on and named after the river torrage.
|
it is situated on and named after the river torage. it is situated on and named after the river torridge. it is situated on and named after the river torridge. it is situated on and named after the rivetorage.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is situated on and named after the river torrage', 'it is situated on and named after the river torage', 'it is situated on and named after the river torridge', 'it is situated on and named after the river torridge', 'it is situated on and named after the rivetorage']
|
|
[
"the damage took three months to repair",
"the damage took three months to repair",
"the damage took three months to repair",
"the damage took three months to repair",
"the damage took three months to repair"
] |
the damage took three months to repair
|
the damage took three months to repair.
|
the damage took three months to repair. the damage took three months to repair. the damage took three months to repair. the damage took three months to repair.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the damage took three months to repair', 'the damage took three months to repair', 'the damage took three months to repair', 'the damage took three months to repair', 'the damage took three months to repair']
|
|
[
"members have to move from one responsibility to what others needed",
"members have to move from one responsibility to what love has needed",
"members often move from one responsibility to what others needed",
"members have to move from one responsibility to her love as needed",
"members have to move from one responsibility to a love as needed"
] |
members often move from one responsibility to another as needed
|
members have to move from one responsibility to what others needed.
|
members have to move from one responsibility to what love has needed. members often move from one responsibility to what others needed. members have to move from one responsibility to her love as needed. members have to move from one responsibility to a love as needed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['members have to move from one responsibility to what others needed', 'members have to move from one responsibility to what love has needed', 'members often move from one responsibility to what others needed', 'members have to move from one responsibility to her love as needed', 'members have to move from one responsibility to a love as needed']
|
|
[
"supertones including matemorginsky as a guest vocalist",
"supertones including matemorginski as a guest vocalist",
"supertones including matemorginsky as a guest vocalist",
"supertones including matemorginski as a guest vocalist",
"supertones including matemoginsky as a guest vocalist"
] |
supertones including matt morginsky as a guest vocalist
|
supertones including matemorginsky as a guest vocalist.
|
supertones including matemorginski as a guest vocalist. supertones including matemorginsky as a guest vocalist. supertones including matemorginski as a guest vocalist. supertones including matemoginsky as a guest vocalist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['supertones including matemorginsky as a guest vocalist', 'supertones including matemorginski as a guest vocalist', 'supertones including matemorginsky as a guest vocalist', 'supertones including matemorginski as a guest vocalist', 'supertones including matemoginsky as a guest vocalist']
|
|
[
"this minimizes the overall bond valency distortions of the crystal light",
"this minimizes the overall bond valency distortions of the crystallite",
"this minimizes the overall bond valency distortions of the crystal light",
"this minimizes the overall bond valency distortions of the crystallite",
"this minimizes the overall bond velency distortions of the crystal light"
] |
this minimizes the overall bond valence distortions of the crystallite
|
this minimizes the overall bond valency distortions of the crystal light.
|
this minimizes the overall bond valency distortions of the crystallite. this minimizes the overall bond valency distortions of the crystal light. this minimizes the overall bond valency distortions of the crystallite. this minimizes the overall bond velency distortions of the crystal light.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this minimizes the overall bond valency distortions of the crystal light', 'this minimizes the overall bond valency distortions of the crystallite', 'this minimizes the overall bond valency distortions of the crystal light', 'this minimizes the overall bond valency distortions of the crystallite', 'this minimizes the overall bond velency distortions of the crystal light']
|
|
[
"oaks road was its replacement and oaks lane is now open again to walkers",
"oaks road was its replacement and oaks lane is now open again to walkers",
"oak is road was its replacement and oak is lane is now open again to walkers",
"oak is road was its replacement and oak is lane is now open again to walkers",
"oaks road was its replacement and oaks lane is now open again to walkers"
] |
oaks road was its replacement and oaks lane is now open again to walkers
|
oaks road was its replacement and oaks lane is now open again to walkers.
|
oaks road was its replacement and oaks lane is now open again to walkers. oak is road was its replacement and oak is lane is now open again to walkers. oak is road was its replacement and oak is lane is now open again to walkers. oaks road was its replacement and oaks lane is now open again to walkers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['oaks road was its replacement and oaks lane is now open again to walkers', 'oaks road was its replacement and oaks lane is now open again to walkers', 'oak is road was its replacement and oak is lane is now open again to walkers', 'oak is road was its replacement and oak is lane is now open again to walkers', 'oaks road was its replacement and oaks lane is now open again to walkers']
|
|
[
"they are common in freshwater plants",
"there are comment in fresh water points",
"they are common in fresh water points",
"they are common in fresh water plants",
"there are comment and fresh water points"
] |
they are common in freshwater ponds
|
they are common in freshwater plants.
|
there are comment in fresh water points. they are common in fresh water points. they are common in fresh water plants. there are comment and fresh water points.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they are common in freshwater plants', 'there are comment in fresh water points', 'they are common in fresh water points', 'they are common in fresh water plants', 'there are comment and fresh water points']
|
|
[
"he is an alumnus of lemont high school",
"he is an alumnus of lemont high school",
"he is an alumnus of lemont high school",
"he is an alumnus of lemanthais school",
"he is an alumnus of lemanthais school"
] |
he is an alumnus of lemont high school
|
he is an alumnus of lemont high school.
|
he is an alumnus of lemont high school. he is an alumnus of lemont high school. he is an alumnus of lemanthais school. he is an alumnus of lemanthais school.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is an alumnus of lemont high school', 'he is an alumnus of lemont high school', 'he is an alumnus of lemont high school', 'he is an alumnus of lemanthais school', 'he is an alumnus of lemanthais school']
|
|
[
"he then became a front reporter",
"he then became a front reporter",
"he then became a front reporter",
"he then became a front reporter",
"he then became a front reporter"
] |
he then became a front reporter
|
he then became a front reporter.
|
he then became a front reporter. he then became a front reporter. he then became a front reporter. he then became a front reporter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he then became a front reporter', 'he then became a front reporter', 'he then became a front reporter', 'he then became a front reporter', 'he then became a front reporter']
|
|
[
"both chair and vice chair of the board are external directors",
"both the chair and vice chair of the board are external directors",
"both chair and vice chair of the board are external directors",
"both chair and vice chair of the board are external directors",
"both chair and vice chair of the board are external directors"
] |
both the chair and vice chair of the board are external directors
|
both chair and vice chair of the board are external directors.
|
both the chair and vice chair of the board are external directors. both chair and vice chair of the board are external directors. both chair and vice chair of the board are external directors. both chair and vice chair of the board are external directors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both chair and vice chair of the board are external directors', 'both the chair and vice chair of the board are external directors', 'both chair and vice chair of the board are external directors', 'both chair and vice chair of the board are external directors', 'both chair and vice chair of the board are external directors']
|
|
[
"prominently in a prometheus story from a snook from my tribe",
"prominently in a prometheus story from a snow quen my tribe",
"prominently in a prometheus story from a snook on my tribe",
"prominently in a prometheus story from a snow quamay tribe",
"prominently in a prometheus story from a snookworm my tribe"
] |
mount si figures prominently in a prometheus story from the snoqualmie tribe
|
prominently in a prometheus story from a snook from my tribe.
|
prominently in a prometheus story from a snow quen my tribe. prominently in a prometheus story from a snook on my tribe. prominently in a prometheus story from a snow quamay tribe. prominently in a prometheus story from a snookworm my tribe.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['prominently in a prometheus story from a snook from my tribe', 'prominently in a prometheus story from a snow quen my tribe', 'prominently in a prometheus story from a snook on my tribe', 'prominently in a prometheus story from a snow quamay tribe', 'prominently in a prometheus story from a snookworm my tribe']
|
|
[
"with the help of the local sexton young covetous skeleton and identification tag",
"with the help of the local sexton young covetous skeleton and identification tag",
"with the help of the local sixth and young covetous skeleton and identification tag",
"with the help of the local sexton he uncovered a skeleton and identification tag",
"with the help of the local sex then he uncovered a skeleton and identification tag"
] |
with the help of the local sexton he uncovered a skeleton and identification tag
|
with the help of the local sexton young covetous skeleton and identification tag.
|
with the help of the local sexton young covetous skeleton and identification tag. with the help of the local sixth and young covetous skeleton and identification tag. with the help of the local sexton he uncovered a skeleton and identification tag. with the help of the local sex then he uncovered a skeleton and identification tag.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['with the help of the local sexton young covetous skeleton and identification tag', 'with the help of the local sexton young covetous skeleton and identification tag', 'with the help of the local sixth and young covetous skeleton and identification tag', 'with the help of the local sexton he uncovered a skeleton and identification tag', 'with the help of the local sex then he uncovered a skeleton and identification tag']
|
|
[
"it is country seat is barter",
"it is country sea is broader",
"it is country sea is butter",
"it is country seat is butter",
"it is country seat is better"
] |
its county seat is sparta
|
it is country seat is barter.
|
it is country sea is broader. it is country sea is butter. it is country seat is butter. it is country seat is better.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is country seat is barter', 'it is country sea is broader', 'it is country sea is butter', 'it is country seat is butter', 'it is country seat is better']
|
|
[
"i want to plug my lawnmower into mains power",
"i want to plug my lawnmower into main is power",
"i want to plug my lawnmower into mains power",
"i want to plug my lawnmower into main is power",
"i want to plug my lawnmower into main is power"
] |
i want to plug my lawnmower into mains power
|
i want to plug my lawnmower into mains power.
|
i want to plug my lawnmower into main is power. i want to plug my lawnmower into mains power. i want to plug my lawnmower into main is power. i want to plug my lawnmower into main is power.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i want to plug my lawnmower into mains power', 'i want to plug my lawnmower into main is power', 'i want to plug my lawnmower into mains power', 'i want to plug my lawnmower into main is power', 'i want to plug my lawnmower into main is power']
|
|
[
"in a british context it is sometimes referred to as the old commonwealth",
"in a british context it is sometimes referred to as the old commonwealth",
"in a british context it is sometimes referred to as the old commonwealth",
"in a british context it is sometimes referred to as the old commonwealth",
"in a british context it is sometimes referred to as the old commonwealth"
] |
in a british context it is sometimes referred to as the old commonwealth
|
in a british context it is sometimes referred to as the old commonwealth.
|
in a british context it is sometimes referred to as the old commonwealth. in a british context it is sometimes referred to as the old commonwealth. in a british context it is sometimes referred to as the old commonwealth. in a british context it is sometimes referred to as the old commonwealth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in a british context it is sometimes referred to as the old commonwealth', 'in a british context it is sometimes referred to as the old commonwealth', 'in a british context it is sometimes referred to as the old commonwealth', 'in a british context it is sometimes referred to as the old commonwealth', 'in a british context it is sometimes referred to as the old commonwealth']
|
|
[
"this make it easy for boiler rooms to use this to their advantage",
"this make it easy for boiler rooms to use this to their advantage",
"this make it easy for boiler rooms to use this to the advantage",
"this makes it easy for boiler rooms to use this to their advantage",
"this make it easy for boiler rooms to use this to the advantage"
] |
this makes it easy for boiler rooms to use this to their advantage
|
this make it easy for boiler rooms to use this to their advantage.
|
this make it easy for boiler rooms to use this to their advantage. this make it easy for boiler rooms to use this to the advantage. this makes it easy for boiler rooms to use this to their advantage. this make it easy for boiler rooms to use this to the advantage.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this make it easy for boiler rooms to use this to their advantage', 'this make it easy for boiler rooms to use this to their advantage', 'this make it easy for boiler rooms to use this to the advantage', 'this makes it easy for boiler rooms to use this to their advantage', 'this make it easy for boiler rooms to use this to the advantage']
|
|
[
"at the same time he was appointed to the worship of agatha noise",
"at the same time he was appointed to the worship of agatha noise",
"at the same time he was appointed to the worship of agatha nois",
"at the same time he was appointed to the lobby shop of agatha noise",
"at the same time he was appointed to the rubbish shop of agatha noise"
] |
at the same time he was appointed titular bishop of agathonice
|
at the same time he was appointed to the worship of agatha noise.
|
at the same time he was appointed to the worship of agatha noise. at the same time he was appointed to the worship of agatha nois. at the same time he was appointed to the lobby shop of agatha noise. at the same time he was appointed to the rubbish shop of agatha noise.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the same time he was appointed to the worship of agatha noise', 'at the same time he was appointed to the worship of agatha noise', 'at the same time he was appointed to the worship of agatha nois', 'at the same time he was appointed to the lobby shop of agatha noise', 'at the same time he was appointed to the rubbish shop of agatha noise']
|
|
[
"recent cadillacs have taken on board this design and have the signature vertical trellum tail fins",
"recent cadillacs have taken on board this design and have the signature vertical tralum tail fins",
"recent cadillacs have taken on board this design and have the signature vertical trellum tail fins",
"recent cadillacs have taken onboard this design and have the signature vertical trellum tail fins",
"recent cadillacs have taken on board this design and have the signature vertical tralum tail fins"
] |
recent cadillacs have taken onboard this design and have the signature vertical taillamp tailfins
|
recent cadillacs have taken on board this design and have the signature vertical trellum tail fins.
|
recent cadillacs have taken on board this design and have the signature vertical tralum tail fins. recent cadillacs have taken on board this design and have the signature vertical trellum tail fins. recent cadillacs have taken onboard this design and have the signature vertical trellum tail fins. recent cadillacs have taken on board this design and have the signature vertical tralum tail fins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['recent cadillacs have taken on board this design and have the signature vertical trellum tail fins', 'recent cadillacs have taken on board this design and have the signature vertical tralum tail fins', 'recent cadillacs have taken on board this design and have the signature vertical trellum tail fins', 'recent cadillacs have taken onboard this design and have the signature vertical trellum tail fins', 'recent cadillacs have taken on board this design and have the signature vertical tralum tail fins']
|
|
[
"the main action is the group led by gora rajana",
"the main section is the group led by gora rajana",
"the main action is the group led by kura rajana",
"the main action is the group led by goura rajana",
"the main section is the group led by kura rajana"
] |
the main faction is the group led by koora rajanna
|
the main action is the group led by gora rajana.
|
the main section is the group led by gora rajana. the main action is the group led by kura rajana. the main action is the group led by goura rajana. the main section is the group led by kura rajana.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main action is the group led by gora rajana', 'the main section is the group led by gora rajana', 'the main action is the group led by kura rajana', 'the main action is the group led by goura rajana', 'the main section is the group led by kura rajana']
|
|
[
"san diego has not had another major league professional basketball team since",
"san diego has not had another major league professional basketball team since",
"san diego has not had an other major league professional basketball team since",
"san diego has not had another major league professional basketball team since",
"san diego has not had another major league professional basketball team since"
] |
san diego has not had another major league professional basketball team since
|
san diego has not had another major league professional basketball team since.
|
san diego has not had another major league professional basketball team since. san diego has not had an other major league professional basketball team since. san diego has not had another major league professional basketball team since. san diego has not had another major league professional basketball team since.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['san diego has not had another major league professional basketball team since', 'san diego has not had another major league professional basketball team since', 'san diego has not had an other major league professional basketball team since', 'san diego has not had another major league professional basketball team since', 'san diego has not had another major league professional basketball team since']
|
|
[
"the art deco facility houses the shopping mall that includes the so based grocery store",
"the art deco facility houses the shopping mall that includes the so based grocery store",
"the art deco facility houses the shopping mall that includes the so based grocery store",
"the art deco facility houses the shopping mall that includes the so based grocery store",
"the art deco facility houses the shopping mall that includes a so based grocery store"
] |
the art deco facility houses a shopping mall that includes a sobeys grocery store
|
the art deco facility houses the shopping mall that includes the so based grocery store.
|
the art deco facility houses the shopping mall that includes the so based grocery store. the art deco facility houses the shopping mall that includes the so based grocery store. the art deco facility houses the shopping mall that includes the so based grocery store. the art deco facility houses the shopping mall that includes a so based grocery store.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the art deco facility houses the shopping mall that includes the so based grocery store', 'the art deco facility houses the shopping mall that includes the so based grocery store', 'the art deco facility houses the shopping mall that includes the so based grocery store', 'the art deco facility houses the shopping mall that includes the so based grocery store', 'the art deco facility houses the shopping mall that includes a so based grocery store']
|
|
[
"but later they are cries of murder and help",
"what buts later they are cries of murder and help",
"but later they are cries of murder and help",
"what but later they are cries of murder and help",
"what but later they are cries of murder and help"
] |
moments later there are cries of murder and help
|
but later they are cries of murder and help.
|
what buts later they are cries of murder and help. but later they are cries of murder and help. what but later they are cries of murder and help. what but later they are cries of murder and help.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but later they are cries of murder and help', 'what buts later they are cries of murder and help', 'but later they are cries of murder and help', 'what but later they are cries of murder and help', 'what but later they are cries of murder and help']
|
|
[
"a man and a woman wearing red in braces",
"a man and a woman wearing red in bracelet",
"a man and a woman wearing red in bracelet days",
"a man and a woman wearing red in braces",
"a man and a woman wearing red in bridesmaids"
] |
a man and a woman wearing red embracing
|
a man and a woman wearing red in braces.
|
a man and a woman wearing red in bracelet. a man and a woman wearing red in bracelet days. a man and a woman wearing red in braces. a man and a woman wearing red in bridesmaids.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man and a woman wearing red in braces', 'a man and a woman wearing red in bracelet', 'a man and a woman wearing red in bracelet days', 'a man and a woman wearing red in braces', 'a man and a woman wearing red in bridesmaids']
|
|
[
"his successor emperor alexander i was by far less friendly towards the society",
"his successor emperor alexander i was by far less friendly towards this society",
"his successor emperor alexander i was by far less friendly towards a society",
"his successor emperor alexander the first was by far less friendly towards the society",
"his successor emperor alexander i was by far less friendly towards the society"
] |
his successor emperor alexander the first was by far less friendly towards the society
|
his successor emperor alexander i was by far less friendly towards the society.
|
his successor emperor alexander i was by far less friendly towards this society. his successor emperor alexander i was by far less friendly towards a society. his successor emperor alexander the first was by far less friendly towards the society. his successor emperor alexander i was by far less friendly towards the society.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his successor emperor alexander i was by far less friendly towards the society', 'his successor emperor alexander i was by far less friendly towards this society', 'his successor emperor alexander i was by far less friendly towards a society', 'his successor emperor alexander the first was by far less friendly towards the society', 'his successor emperor alexander i was by far less friendly towards the society']
|
|
[
"it is a cryptically colored species of tree frog often resembling granitic stones",
"it is a cryptically colored species of tree frog often resembling granitic stones",
"it is a cryptically colored species of tree frog often resembling granitic stones",
"it is a cryptically colored species of tree frog often resembling granitic stones",
"it is a cryptically colored species of tree frog often resembling granitic stones"
] |
it is a cryptically colored species of tree frog often resembling granitic stones
|
it is a cryptically colored species of tree frog often resembling granitic stones.
|
it is a cryptically colored species of tree frog often resembling granitic stones. it is a cryptically colored species of tree frog often resembling granitic stones. it is a cryptically colored species of tree frog often resembling granitic stones. it is a cryptically colored species of tree frog often resembling granitic stones.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a cryptically colored species of tree frog often resembling granitic stones', 'it is a cryptically colored species of tree frog often resembling granitic stones', 'it is a cryptically colored species of tree frog often resembling granitic stones', 'it is a cryptically colored species of tree frog often resembling granitic stones', 'it is a cryptically colored species of tree frog often resembling granitic stones']
|
|
[
"butler died in office and was buried in auckland cemetery onest chester pennsylvania",
"butler died in office and was buried in oakland cemetery onest chester pennsylvania",
"butler died in office and was buried in auckland cemetery onest chester pennsylvania",
"butler died in office and was buried in auckland cemetery onest chester pennsylvania",
"butler died in office and was buried in auckland summary first chester pennsylvania"
] |
butler died in office and was buried in oaklands cemetery west chester pennsylvania
|
butler died in office and was buried in auckland cemetery onest chester pennsylvania.
|
butler died in office and was buried in oakland cemetery onest chester pennsylvania. butler died in office and was buried in auckland cemetery onest chester pennsylvania. butler died in office and was buried in auckland cemetery onest chester pennsylvania. butler died in office and was buried in auckland summary first chester pennsylvania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['butler died in office and was buried in auckland cemetery onest chester pennsylvania', 'butler died in office and was buried in oakland cemetery onest chester pennsylvania', 'butler died in office and was buried in auckland cemetery onest chester pennsylvania', 'butler died in office and was buried in auckland cemetery onest chester pennsylvania', 'butler died in office and was buried in auckland summary first chester pennsylvania']
|
|
[
"revendem has developed from the small town into major hub city",
"revendom has developed from the small town into major hub city",
"revendem has developed from the small town into a major hub city",
"revendom has developed from the small town into a major hub city",
"revendum has developed from the small town into major hub city"
] |
rotterdam has developed from a small town into a major harbor city
|
revendem has developed from the small town into major hub city.
|
revendom has developed from the small town into major hub city. revendem has developed from the small town into a major hub city. revendom has developed from the small town into a major hub city. revendum has developed from the small town into major hub city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['revendem has developed from the small town into major hub city', 'revendom has developed from the small town into major hub city', 'revendem has developed from the small town into a major hub city', 'revendom has developed from the small town into a major hub city', 'revendum has developed from the small town into major hub city']
|
|
[
"saffo soon abandoned her acting studies in favor of music",
"saffo soon abandoned her acting studies in favor of music",
"sofosunabandon her acting studies in favor of music",
"so for soon abandon her acting studies in favor of music",
"so for soon abandoned her acting studies in favor of music"
] |
sapho soon abandoned her acting studies in favor of music
|
saffo soon abandoned her acting studies in favor of music.
|
saffo soon abandoned her acting studies in favor of music. sofosunabandon her acting studies in favor of music. so for soon abandon her acting studies in favor of music. so for soon abandoned her acting studies in favor of music.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['saffo soon abandoned her acting studies in favor of music', 'saffo soon abandoned her acting studies in favor of music', 'sofosunabandon her acting studies in favor of music', 'so for soon abandon her acting studies in favor of music', 'so for soon abandoned her acting studies in favor of music']
|
|
[
"there are three main not for profit organizations in nalamo",
"there are three main not for profit organizations in nalamo",
"there are three main not for profit organizations in nalamo",
"there are three main not for profit organizations in nala mo",
"there are three main not for profit organizations in nalaamu"
] |
there are three main not for profit organizations in alamo
|
there are three main not for profit organizations in nalamo.
|
there are three main not for profit organizations in nalamo. there are three main not for profit organizations in nalamo. there are three main not for profit organizations in nala mo. there are three main not for profit organizations in nalaamu.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are three main not for profit organizations in nalamo', 'there are three main not for profit organizations in nalamo', 'there are three main not for profit organizations in nalamo', 'there are three main not for profit organizations in nala mo', 'there are three main not for profit organizations in nalaamu']
|
|
[
"he sheltered fontanese while he was in hiding",
"he sheltered fontanese whilst he was in hiding",
"he sheltered fountainys while he was in hiding",
"he sheltered fontaniz while he was in hiding",
"he sheltered fontanese while he was not hiding"
] |
he sheltered fontenis whilst he was in hiding
|
he sheltered fontanese while he was in hiding.
|
he sheltered fontanese whilst he was in hiding. he sheltered fountainys while he was in hiding. he sheltered fontaniz while he was in hiding. he sheltered fontanese while he was not hiding.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he sheltered fontanese while he was in hiding', 'he sheltered fontanese whilst he was in hiding', 'he sheltered fountainys while he was in hiding', 'he sheltered fontaniz while he was in hiding', 'he sheltered fontanese while he was not hiding']
|
|
[
"both of these decisions are revered by taxation decisions",
"both of these decisions are reverberate taxation decisions",
"both of these decisions are revealed by taxation decisions",
"both of these decisions are reviewing taxation decisions",
"both of these decisions are reviewable taxation decisions"
] |
both of these decisions are reviewable taxation decisions
|
both of these decisions are revered by taxation decisions.
|
both of these decisions are reverberate taxation decisions. both of these decisions are revealed by taxation decisions. both of these decisions are reviewing taxation decisions. both of these decisions are reviewable taxation decisions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both of these decisions are revered by taxation decisions', 'both of these decisions are reverberate taxation decisions', 'both of these decisions are revealed by taxation decisions', 'both of these decisions are reviewing taxation decisions', 'both of these decisions are reviewable taxation decisions']
|
|
[
"he also established himself as a record producer and composer",
"he also established himself as the record producer and composer",
"he also established himself as a record producer and composer",
"he also established himself as the record producer and composer",
"he also established himself as the record producer and composer"
] |
he also established himself as a record producer and composer
|
he also established himself as a record producer and composer.
|
he also established himself as the record producer and composer. he also established himself as a record producer and composer. he also established himself as the record producer and composer. he also established himself as the record producer and composer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also established himself as a record producer and composer', 'he also established himself as the record producer and composer', 'he also established himself as a record producer and composer', 'he also established himself as the record producer and composer', 'he also established himself as the record producer and composer']
|
|
[
"governor otter named state senator brad little of emmett as recious replace",
"governor otter named state senator brad little of emmett as recious replace",
"governor otter named state senator brad little of emmett as regious replace",
"governor otter named state senator brad little of emmett as regious replace",
"governor otter named state senator brad little of emmett as recious replacement"
] |
governor otter named state senator brad little of emmett as risch is replacement
|
governor otter named state senator brad little of emmett as recious replace.
|
governor otter named state senator brad little of emmett as recious replace. governor otter named state senator brad little of emmett as regious replace. governor otter named state senator brad little of emmett as regious replace. governor otter named state senator brad little of emmett as recious replacement.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['governor otter named state senator brad little of emmett as recious replace', 'governor otter named state senator brad little of emmett as recious replace', 'governor otter named state senator brad little of emmett as regious replace', 'governor otter named state senator brad little of emmett as regious replace', 'governor otter named state senator brad little of emmett as recious replacement']
|
|
[
"braisins and table grape varieties are chosen for their flavor",
"braisons and table grape varieties are chosen for their flavor",
"braisants and table grape varieties are chosen for their flavor",
"bracent and table grape varieties are chosen for their flavor",
"brains and table grape varieties are chosen for their flavor"
] |
raisins and table grape varieties are chosen for their flavor
|
braisins and table grape varieties are chosen for their flavor.
|
braisons and table grape varieties are chosen for their flavor. braisants and table grape varieties are chosen for their flavor. bracent and table grape varieties are chosen for their flavor. brains and table grape varieties are chosen for their flavor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['braisins and table grape varieties are chosen for their flavor', 'braisons and table grape varieties are chosen for their flavor', 'braisants and table grape varieties are chosen for their flavor', 'bracent and table grape varieties are chosen for their flavor', 'brains and table grape varieties are chosen for their flavor']
|
|
[
"one thousand now is on the board of directors at louisiana health care group",
"townsend now is on the board of directors at louisiana health care group",
"towson now is on the board of directors at louisiana health care group",
"towson now is on the board of directors at louisiana health care group",
"townsend now is on the board of directors at louisiana health care group"
] |
tauzin now is on the board of directors at louisiana healthcare group
|
one thousand now is on the board of directors at louisiana health care group.
|
townsend now is on the board of directors at louisiana health care group. towson now is on the board of directors at louisiana health care group. towson now is on the board of directors at louisiana health care group. townsend now is on the board of directors at louisiana health care group.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one thousand now is on the board of directors at louisiana health care group', 'townsend now is on the board of directors at louisiana health care group', 'towson now is on the board of directors at louisiana health care group', 'towson now is on the board of directors at louisiana health care group', 'townsend now is on the board of directors at louisiana health care group']
|
|
[
"lithium carbonate is an important industrial chemical",
"lithium carbonate is an important industrial chemical",
"lithium carbonate is an important industrial chemical",
"lithium carbonate is an important industrial chemical",
"lithium carbonate is an important industrial chemical"
] |
lithium carbonate is an important industrial chemical
|
lithium carbonate is an important industrial chemical.
|
lithium carbonate is an important industrial chemical. lithium carbonate is an important industrial chemical. lithium carbonate is an important industrial chemical. lithium carbonate is an important industrial chemical.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lithium carbonate is an important industrial chemical', 'lithium carbonate is an important industrial chemical', 'lithium carbonate is an important industrial chemical', 'lithium carbonate is an important industrial chemical', 'lithium carbonate is an important industrial chemical']
|
|
[
"to this day the old structure remains a down and mark in this repair",
"to this day the old structure remains a downward mark in this repair",
"to this day the old structure remains a down and a invisible pair",
"to this day the old structure remains cut down and marked in this repair",
"to this day the old structure remains a down and a diesel pair"
] |
to this day the old structure remains a town landmark in disrepair
|
to this day the old structure remains a down and mark in this repair.
|
to this day the old structure remains a downward mark in this repair. to this day the old structure remains a down and a invisible pair. to this day the old structure remains cut down and marked in this repair. to this day the old structure remains a down and a diesel pair.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to this day the old structure remains a down and mark in this repair', 'to this day the old structure remains a downward mark in this repair', 'to this day the old structure remains a down and a invisible pair', 'to this day the old structure remains cut down and marked in this repair', 'to this day the old structure remains a down and a diesel pair']
|
|
[
"a company that album announcement was a music video for this new single dumlock",
"a company that album announcement was a music video for this new single dumblock",
"accompling the album announcement was a music video for this new single dumblock",
"accompling the album announcement was a music video for this new single dumlock",
"accompling the album announcement was a music video for this new single dumlock"
] |
accompanying the album announcement was the music video for new single dumb luck
|
a company that album announcement was a music video for this new single dumlock.
|
a company that album announcement was a music video for this new single dumblock. accompling the album announcement was a music video for this new single dumblock. accompling the album announcement was a music video for this new single dumlock. accompling the album announcement was a music video for this new single dumlock.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a company that album announcement was a music video for this new single dumlock', 'a company that album announcement was a music video for this new single dumblock', 'accompling the album announcement was a music video for this new single dumblock', 'accompling the album announcement was a music video for this new single dumlock', 'accompling the album announcement was a music video for this new single dumlock']
|
|
[
"senator from georgia",
"senator from georgia",
"senator from georgia",
"senator from georgia",
"senator from georgia"
] |
senator from georgia
|
senator from georgia.
|
senator from georgia. senator from georgia. senator from georgia. senator from georgia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['senator from georgia', 'senator from georgia', 'senator from georgia', 'senator from georgia', 'senator from georgia']
|
|
[
"in vain amelie pleated",
"in vain amelie pleaded",
"in vein amelie pleated",
"in vain amelie pleaded",
"in vain amelie pleated"
] |
in vain amelie pleaded
|
in vain amelie pleated.
|
in vain amelie pleaded. in vein amelie pleated. in vain amelie pleaded. in vain amelie pleated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in vain amelie pleated', 'in vain amelie pleaded', 'in vein amelie pleated', 'in vain amelie pleaded', 'in vain amelie pleated']
|
|
[
"feature ornamental eastern design",
"feature on a mentor eastern design",
"feature on a mentor eastern design",
"the painting of the world is feature ornamental eastern design",
"feature ornamental eastern design"
] |
the painting of the walls feature ornamental eastern design
|
feature ornamental eastern design.
|
feature on a mentor eastern design. feature on a mentor eastern design. the painting of the world is feature ornamental eastern design. feature ornamental eastern design.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['feature ornamental eastern design', 'feature on a mentor eastern design', 'feature on a mentor eastern design', 'the painting of the world is feature ornamental eastern design', 'feature ornamental eastern design']
|
|
[
"deployment of the bell is by a cable attached to the top",
"the deployment of the bell is by a cable attached to the top",
"deployment of the bell is by a cable attached to the top",
"deployment of the bell is by a cable attached to the top",
"the deployment of the bell is by a cable attached to the top"
] |
deployment of the bell is by a cable attached to the top
|
deployment of the bell is by a cable attached to the top.
|
the deployment of the bell is by a cable attached to the top. deployment of the bell is by a cable attached to the top. deployment of the bell is by a cable attached to the top. the deployment of the bell is by a cable attached to the top.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['deployment of the bell is by a cable attached to the top', 'the deployment of the bell is by a cable attached to the top', 'deployment of the bell is by a cable attached to the top', 'deployment of the bell is by a cable attached to the top', 'the deployment of the bell is by a cable attached to the top']
|
|
[
"i will lift this scientific exploration is at the forefront of research in china",
"all of this scientific exploration is at the forefront of research in china",
"i will leave this scientific exploration is at the forefront of research in china",
"i will lift this scientific exploration is at the forefront of research in china",
"i will leave this scientific exploration is at the forefront of research in china"
] |
all of this scientific exploration is at the forefront of research in china
|
i will lift this scientific exploration is at the forefront of research in china.
|
all of this scientific exploration is at the forefront of research in china. i will leave this scientific exploration is at the forefront of research in china. i will lift this scientific exploration is at the forefront of research in china. i will leave this scientific exploration is at the forefront of research in china.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i will lift this scientific exploration is at the forefront of research in china', 'all of this scientific exploration is at the forefront of research in china', 'i will leave this scientific exploration is at the forefront of research in china', 'i will lift this scientific exploration is at the forefront of research in china', 'i will leave this scientific exploration is at the forefront of research in china']
|
|
[
"there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound",
"there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound",
"there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound",
"there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound",
"there is a fixed bead camera on the pacific motorway at dada gindi facing northbound"
] |
there is a fixed speed camera on the pacific motorway at tarragindi facing northbound
|
there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound.
|
there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound. there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound. there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound. there is a fixed bead camera on the pacific motorway at dada gindi facing northbound.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound', 'there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound', 'there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound', 'there is a fixed bead camera on the pacific motorway at dada gindi phasing northbound', 'there is a fixed bead camera on the pacific motorway at dada gindi facing northbound']
|
|
[
"it will sound false",
"it will sound false",
"it will sound false",
"it will sound false",
"it will sound false"
] |
it will sound false
|
it will sound false.
|
it will sound false. it will sound false. it will sound false. it will sound false.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it will sound false', 'it will sound false', 'it will sound false', 'it will sound false', 'it will sound false']
|
|
[
"his addition required evens to shift from rhythm guitar to bass",
"his addition required even to shift from rhythm guitar to bass",
"his addition required events to shift from rhythm guitar to bass",
"his addition required evens to shift from rhythm to guitar to bass",
"his addition required even to shift from rhythm guitar to bass"
] |
his addition required evans to shift from rhythm guitar to bass
|
his addition required evens to shift from rhythm guitar to bass.
|
his addition required even to shift from rhythm guitar to bass. his addition required events to shift from rhythm guitar to bass. his addition required evens to shift from rhythm to guitar to bass. his addition required even to shift from rhythm guitar to bass.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his addition required evens to shift from rhythm guitar to bass', 'his addition required even to shift from rhythm guitar to bass', 'his addition required events to shift from rhythm guitar to bass', 'his addition required evens to shift from rhythm to guitar to bass', 'his addition required even to shift from rhythm guitar to bass']
|
|
[
"by this time soy is fiction writing was exclusively for children",
"by this time soy is fiction writing was exclusively for children",
"by this time sawyer is fiction writing was exclusively for children",
"by this time soyuz fiction writing was exclusively for children",
"by this time soyuz fiction writing was exclusively for children"
] |
by this time sawyer is fiction writing was exclusively for children
|
by this time soy is fiction writing was exclusively for children.
|
by this time soy is fiction writing was exclusively for children. by this time sawyer is fiction writing was exclusively for children. by this time soyuz fiction writing was exclusively for children. by this time soyuz fiction writing was exclusively for children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['by this time soy is fiction writing was exclusively for children', 'by this time soy is fiction writing was exclusively for children', 'by this time sawyer is fiction writing was exclusively for children', 'by this time soyuz fiction writing was exclusively for children', 'by this time soyuz fiction writing was exclusively for children']
|
|
[
"a number of other commonwealth realms also mark this day in this way",
"a number of other commonwealth realms also mark this day in this way",
"a number of other commonwealth realms also mark this day in this way",
"a number of other commonwealth realms also mark this day in this way",
"a number of other commonwealth realms also mark this day in this way"
] |
a number of other commonwealth realms also mark this day in this way
|
a number of other commonwealth realms also mark this day in this way.
|
a number of other commonwealth realms also mark this day in this way. a number of other commonwealth realms also mark this day in this way. a number of other commonwealth realms also mark this day in this way. a number of other commonwealth realms also mark this day in this way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a number of other commonwealth realms also mark this day in this way', 'a number of other commonwealth realms also mark this day in this way', 'a number of other commonwealth realms also mark this day in this way', 'a number of other commonwealth realms also mark this day in this way', 'a number of other commonwealth realms also mark this day in this way']
|
|
[
"most of these issues have been resolved through inner party negotiations",
"most of these issues have been resolved through inner party negotiations",
"most of this issues have been resolved through inner party negotiations",
"most of these issues have been resolved through inner party negotiations",
"most of these issues have been resolved through inner party negotiations"
] |
most of these issues have been resolved through inter party negotiations
|
most of these issues have been resolved through inner party negotiations.
|
most of these issues have been resolved through inner party negotiations. most of this issues have been resolved through inner party negotiations. most of these issues have been resolved through inner party negotiations. most of these issues have been resolved through inner party negotiations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most of these issues have been resolved through inner party negotiations', 'most of these issues have been resolved through inner party negotiations', 'most of this issues have been resolved through inner party negotiations', 'most of these issues have been resolved through inner party negotiations', 'most of these issues have been resolved through inner party negotiations']
|
|
[
"he co founded id software",
"he co founded id software",
"he co founded id software",
"he co founded id software",
"he co founded ids of doctor"
] |
he co founded id software
|
he co founded id software.
|
he co founded id software. he co founded id software. he co founded id software. he co founded ids of doctor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he co founded id software', 'he co founded id software', 'he co founded id software', 'he co founded id software', 'he co founded ids of doctor']
|
|
[
"at mnngo is a member of the british columbia retard teachers association",
"at a man and go is a member of the british columbia retard teachers association",
"at mlngo is a member of the british columbia retard teachers association",
"at mnngo is a member of the british columbia retired teachers association",
"at the men and go is a member of the british columbia retard teachers association"
] |
atamanenko is a member of the british columbia retired teachers association
|
at mnngo is a member of the british columbia retard teachers association.
|
at a man and go is a member of the british columbia retard teachers association. at mlngo is a member of the british columbia retard teachers association. at mnngo is a member of the british columbia retired teachers association. at the men and go is a member of the british columbia retard teachers association.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at mnngo is a member of the british columbia retard teachers association', 'at a man and go is a member of the british columbia retard teachers association', 'at mlngo is a member of the british columbia retard teachers association', 'at mnngo is a member of the british columbia retired teachers association', 'at the men and go is a member of the british columbia retard teachers association']
|
|
[
"he was arrested from sadakat ashram patna and sent to bankipur central jail",
"he was arrested from sadakat ashram patna and sent to bankipur central jail",
"he was arrested from sadakat ashram patna and sent to bankipur central jail",
"he was arrested from sadhakath ashram patna and sent to bankipur central jail",
"he was arrested from sadhakath ashram patna and sent to bankipur central jail"
] |
he was arrested from sadaqat ashram patna and sent to bankipur central jail
|
he was arrested from sadakat ashram patna and sent to bankipur central jail.
|
he was arrested from sadakat ashram patna and sent to bankipur central jail. he was arrested from sadakat ashram patna and sent to bankipur central jail. he was arrested from sadhakath ashram patna and sent to bankipur central jail. he was arrested from sadhakath ashram patna and sent to bankipur central jail.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was arrested from sadakat ashram patna and sent to bankipur central jail', 'he was arrested from sadakat ashram patna and sent to bankipur central jail', 'he was arrested from sadakat ashram patna and sent to bankipur central jail', 'he was arrested from sadhakath ashram patna and sent to bankipur central jail', 'he was arrested from sadhakath ashram patna and sent to bankipur central jail']
|
|
[
"classes modus operandi when dealing with opponents such as friedman was exceptional",
"classes modus operandi when dealing with opponents such as friedman was exceptional",
"classes modus operandi when dealing with opponents such as friedman was",
"classes modus operandi when dealing with opponents such as friedman was exceptional",
"classes modus operandi when dealing with opponents such as friedman was exceptional"
] |
klass is modus operandi when dealing with opponents such as friedman was exceptional
|
classes modus operandi when dealing with opponents such as friedman was exceptional.
|
classes modus operandi when dealing with opponents such as friedman was exceptional. classes modus operandi when dealing with opponents such as friedman was. classes modus operandi when dealing with opponents such as friedman was exceptional. classes modus operandi when dealing with opponents such as friedman was exceptional.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['classes modus operandi when dealing with opponents such as friedman was exceptional', 'classes modus operandi when dealing with opponents such as friedman was exceptional', 'classes modus operandi when dealing with opponents such as friedman was', 'classes modus operandi when dealing with opponents such as friedman was exceptional', 'classes modus operandi when dealing with opponents such as friedman was exceptional']
|
|
[
"although a third of the crew with casualties dave is more than injured",
"although a third of the crew with casualties dave is more than injured",
"although a third of the crew would casualty his day was more than injured",
"although a third of the crew would casualty his day was full and injured",
"although a third of the crew were casualties dave was more than injured"
] |
although a third of the crew were casualties davis was uninjured
|
although a third of the crew with casualties dave is more than injured.
|
although a third of the crew with casualties dave is more than injured. although a third of the crew would casualty his day was more than injured. although a third of the crew would casualty his day was full and injured. although a third of the crew were casualties dave was more than injured.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although a third of the crew with casualties dave is more than injured', 'although a third of the crew with casualties dave is more than injured', 'although a third of the crew would casualty his day was more than injured', 'although a third of the crew would casualty his day was full and injured', 'although a third of the crew were casualties dave was more than injured']
|
|
[
"pickering was a polygenist he believed that different races had been created separately",
"pickering was a polygenist he believed that different races had been created separately",
"pickering was a polygenist he believed the different races had been created separately",
"pickering was a polygenist he believed the different races had been created separately",
"piquering was a polygenist he believed that different races had been created separately"
] |
pickering was a polygenist he believed that different races had been created separately
|
pickering was a polygenist he believed that different races had been created separately.
|
pickering was a polygenist he believed that different races had been created separately. pickering was a polygenist he believed the different races had been created separately. pickering was a polygenist he believed the different races had been created separately. piquering was a polygenist he believed that different races had been created separately.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pickering was a polygenist he believed that different races had been created separately', 'pickering was a polygenist he believed that different races had been created separately', 'pickering was a polygenist he believed the different races had been created separately', 'pickering was a polygenist he believed the different races had been created separately', 'piquering was a polygenist he believed that different races had been created separately']
|
|
[
"the object of the game is to score points",
"the object of the game is to score point",
"the object of the game is to score points",
"the object of the game is to score points",
"the object of the game is to score points"
] |
the object of the game is to score points
|
the object of the game is to score points.
|
the object of the game is to score point. the object of the game is to score points. the object of the game is to score points. the object of the game is to score points.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the object of the game is to score points', 'the object of the game is to score point', 'the object of the game is to score points', 'the object of the game is to score points', 'the object of the game is to score points']
|
|
[
"he lives with his family in northern california",
"he loves his family in northern california",
"elias sit his family in northern california",
"eli has sent his family in northern california",
"elias sent his family in northern california"
] |
he lives with his family in northern california
|
he lives with his family in northern california.
|
he loves his family in northern california. elias sit his family in northern california. eli has sent his family in northern california. elias sent his family in northern california.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he lives with his family in northern california', 'he loves his family in northern california', 'elias sit his family in northern california', 'eli has sent his family in northern california', 'elias sent his family in northern california']
|
|
[
"there was noise of wheels",
"there was a noise of wheels",
"there was no use of wheels",
"there was no ease of views",
"there was a noise of wheels"
] |
there was the noise of wheels
|
there was noise of wheels.
|
there was a noise of wheels. there was no use of wheels. there was no ease of views. there was a noise of wheels.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there was noise of wheels', 'there was a noise of wheels', 'there was no use of wheels', 'there was no ease of views', 'there was a noise of wheels']
|
|
[
"it is the sixth temple built in a pacific island",
"it is the sixth temple built in a pacific island",
"it is the sixth temple built in a pacific island",
"it is the sixth temple built in a pacific island",
"it is the sixth temple built in a pacific island"
] |
it is the sixth temple built in the pacific islands
|
it is the sixth temple built in a pacific island.
|
it is the sixth temple built in a pacific island. it is the sixth temple built in a pacific island. it is the sixth temple built in a pacific island. it is the sixth temple built in a pacific island.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the sixth temple built in a pacific island', 'it is the sixth temple built in a pacific island', 'it is the sixth temple built in a pacific island', 'it is the sixth temple built in a pacific island', 'it is the sixth temple built in a pacific island']
|
|
[
"captain george kendall was executed for thresan",
"captain george kendall was executed for treason",
"captain george kendall was executed for threshing",
"captain george kendall was executed for thresan",
"captain george kendall was executed for thirteenth"
] |
captain george kendall was executed for treason
|
captain george kendall was executed for thresan.
|
captain george kendall was executed for treason. captain george kendall was executed for threshing. captain george kendall was executed for thresan. captain george kendall was executed for thirteenth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['captain george kendall was executed for thresan', 'captain george kendall was executed for treason', 'captain george kendall was executed for threshing', 'captain george kendall was executed for thresan', 'captain george kendall was executed for thirteenth']
|
|
[
"there are also blocks of large victorian homes prepared among the row houses",
"there are also a block of large victorian homes prepared among the row houses",
"there are also blocks of large victorian homes prepared among the rowhouses",
"there are also a block of large victorian homes prepared among the rowhouses",
"there are also blocks of large victorian homes prepared among the rowhouses"
] |
there are also blocks of large victorian homes peppered among the rowhouses
|
there are also blocks of large victorian homes prepared among the row houses.
|
there are also a block of large victorian homes prepared among the row houses. there are also blocks of large victorian homes prepared among the rowhouses. there are also a block of large victorian homes prepared among the rowhouses. there are also blocks of large victorian homes prepared among the rowhouses.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are also blocks of large victorian homes prepared among the row houses', 'there are also a block of large victorian homes prepared among the row houses', 'there are also blocks of large victorian homes prepared among the rowhouses', 'there are also a block of large victorian homes prepared among the rowhouses', 'there are also blocks of large victorian homes prepared among the rowhouses']
|
|
[
"although they eventually divorced they remained clothed throughout the rest of their lives",
"although they eventually divorced they remained clothed throughout the rest of their lives",
"although they eventually divorced they remain clothed throughout the rest of their lives",
"although they eventually divorced they remained clothed throughout the rest of their lives",
"although they eventually divorced they remained clothed throughout the rest of their lives"
] |
although they eventually divorced they remained close throughout the rest of their lives
|
although they eventually divorced they remained clothed throughout the rest of their lives.
|
although they eventually divorced they remained clothed throughout the rest of their lives. although they eventually divorced they remain clothed throughout the rest of their lives. although they eventually divorced they remained clothed throughout the rest of their lives. although they eventually divorced they remained clothed throughout the rest of their lives.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although they eventually divorced they remained clothed throughout the rest of their lives', 'although they eventually divorced they remained clothed throughout the rest of their lives', 'although they eventually divorced they remain clothed throughout the rest of their lives', 'although they eventually divorced they remained clothed throughout the rest of their lives', 'although they eventually divorced they remained clothed throughout the rest of their lives']
|
|
[
"however poor might is still manufactured in seoul and australia",
"however poor mine is still manufactured in seoul and australia",
"however poor might is still manufactured and sold in australia",
"however poor mine is still manufactured and sold in australia",
"however poor might is still manufactured in seoul in australia"
] |
however promite is still manufactured and sold in australia
|
however poor might is still manufactured in seoul and australia.
|
however poor mine is still manufactured in seoul and australia. however poor might is still manufactured and sold in australia. however poor mine is still manufactured and sold in australia. however poor might is still manufactured in seoul in australia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however poor might is still manufactured in seoul and australia', 'however poor mine is still manufactured in seoul and australia', 'however poor might is still manufactured and sold in australia', 'however poor mine is still manufactured and sold in australia', 'however poor might is still manufactured in seoul in australia']
|
|
[
"special exhibitions are displayed on the second floor of the museum",
"special exhibitions are displayed on the twond floor of the museum",
"special exhibitions are displayed on the second floor of the museum",
"special exhibitions are displayed on the twond floor of the museum",
"special exhibitions are displayed on the twond floor of the museum"
] |
special exhibitions are displayed on the second floor of the museum
|
special exhibitions are displayed on the second floor of the museum.
|
special exhibitions are displayed on the twond floor of the museum. special exhibitions are displayed on the second floor of the museum. special exhibitions are displayed on the twond floor of the museum. special exhibitions are displayed on the twond floor of the museum.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['special exhibitions are displayed on the second floor of the museum', 'special exhibitions are displayed on the twond floor of the museum', 'special exhibitions are displayed on the second floor of the museum', 'special exhibitions are displayed on the twond floor of the museum', 'special exhibitions are displayed on the twond floor of the museum']
|
|
[
"however the city was lost once again to the northern kipchaks",
"however the city was lost once again to the northern kipchaks",
"however the city was lost once again to the northern kipchak is",
"however the city was lost once again to the northern kipchacks",
"however the city was lost once again to the northern kipchak is"
] |
however the city was lost once again to the northern kipchaks
|
however the city was lost once again to the northern kipchaks.
|
however the city was lost once again to the northern kipchaks. however the city was lost once again to the northern kipchak is. however the city was lost once again to the northern kipchacks. however the city was lost once again to the northern kipchak is.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the city was lost once again to the northern kipchaks', 'however the city was lost once again to the northern kipchaks', 'however the city was lost once again to the northern kipchak is', 'however the city was lost once again to the northern kipchacks', 'however the city was lost once again to the northern kipchak is']
|
|
[
"however the police force storms their complex anyhow killing hundreds of defenseless prisoners",
"however the police force storms their complex anyhow killing hundreds of defenseless prisoners",
"however the police force storms their complex anyhow killing hundreds of defenseless prisoners",
"however the police forced storms that complex anyhow killing hundreds of defenseless prisoners",
"however the place for storms that complex anyhow killing hundreds of defenseless prisoners"
] |
however the police force storms the complex anyhow killing hundreds of defenseless prisoners
|
however the police force storms their complex anyhow killing hundreds of defenseless prisoners.
|
however the police force storms their complex anyhow killing hundreds of defenseless prisoners. however the police force storms their complex anyhow killing hundreds of defenseless prisoners. however the police forced storms that complex anyhow killing hundreds of defenseless prisoners. however the place for storms that complex anyhow killing hundreds of defenseless prisoners.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the police force storms their complex anyhow killing hundreds of defenseless prisoners', 'however the police force storms their complex anyhow killing hundreds of defenseless prisoners', 'however the police force storms their complex anyhow killing hundreds of defenseless prisoners', 'however the police forced storms that complex anyhow killing hundreds of defenseless prisoners', 'however the place for storms that complex anyhow killing hundreds of defenseless prisoners']
|
|
[
"there i have not in london however but in front of an advancing roman army",
"there i have not in london however but in front of an advancing roman army",
"there i have not in london however but in front of an advancing roman army",
"there i have not in london however but in front of an advancing roman army",
"there i have not in london however but in front of an advancing roman army"
] |
they arrive not in london however but in front of an advancing roman army
|
there i have not in london however but in front of an advancing roman army.
|
there i have not in london however but in front of an advancing roman army. there i have not in london however but in front of an advancing roman army. there i have not in london however but in front of an advancing roman army. there i have not in london however but in front of an advancing roman army.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there i have not in london however but in front of an advancing roman army', 'there i have not in london however but in front of an advancing roman army', 'there i have not in london however but in front of an advancing roman army', 'there i have not in london however but in front of an advancing roman army', 'there i have not in london however but in front of an advancing roman army']
|
|
[
"this term comes from the palace of westminster the seat of the british parliament",
"this term comes from the palace of westminster the seat of the british parliament",
"this term comes from the palace of westminster the seat of the british parliament",
"this term comes from the palace of westminster the seat of the british parliament",
"this term comes from the palace of westminster the seat of the british parliament"
] |
this term comes from the palace of westminster the seat of the british parliament
|
this term comes from the palace of westminster the seat of the british parliament.
|
this term comes from the palace of westminster the seat of the british parliament. this term comes from the palace of westminster the seat of the british parliament. this term comes from the palace of westminster the seat of the british parliament. this term comes from the palace of westminster the seat of the british parliament.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this term comes from the palace of westminster the seat of the british parliament', 'this term comes from the palace of westminster the seat of the british parliament', 'this term comes from the palace of westminster the seat of the british parliament', 'this term comes from the palace of westminster the seat of the british parliament', 'this term comes from the palace of westminster the seat of the british parliament']
|
|
[
"he was later traded to the chicago bulls also for whom he never played",
"he was later traded to the chicago bulls or so for whom he never played",
"he was later traded to the chicago bulls also for whom he never played",
"he was later traded to the chicago bulls also for whom he never played",
"he was later traded to the chicago balls also for whom he never played"
] |
he was later traded to the chicago bulls also for whom he never played
|
he was later traded to the chicago bulls also for whom he never played.
|
he was later traded to the chicago bulls or so for whom he never played. he was later traded to the chicago bulls also for whom he never played. he was later traded to the chicago bulls also for whom he never played. he was later traded to the chicago balls also for whom he never played.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was later traded to the chicago bulls also for whom he never played', 'he was later traded to the chicago bulls or so for whom he never played', 'he was later traded to the chicago bulls also for whom he never played', 'he was later traded to the chicago bulls also for whom he never played', 'he was later traded to the chicago balls also for whom he never played']
|
|
[
"its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation",
"it is use of paragraphs handwriting recognition engine has been noted as a pioneering implementation",
"its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation",
"its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation",
"its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation"
] |
its use of paragraph is handwriting recognition engine has been noted as a pioneering implementation
|
its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation.
|
it is use of paragraphs handwriting recognition engine has been noted as a pioneering implementation. its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation. its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation. its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation', 'it is use of paragraphs handwriting recognition engine has been noted as a pioneering implementation', 'its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation', 'its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation', 'its use of paragraphs handwriting recognition engine has been noted as a pioneering implementation']
|
|
[
"gina also blogs for celebrity baby scope",
"gina also blocks for celebrity baby scope",
"gina also blogs for celebrity baby scoop",
"gina also blocks for celebrity baby scope",
"gina also blogs for celebrity baby scope"
] |
gena also blogs for celebrity baby scoop
|
gina also blogs for celebrity baby scope.
|
gina also blocks for celebrity baby scope. gina also blogs for celebrity baby scoop. gina also blocks for celebrity baby scope. gina also blogs for celebrity baby scope.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['gina also blogs for celebrity baby scope', 'gina also blocks for celebrity baby scope', 'gina also blogs for celebrity baby scoop', 'gina also blocks for celebrity baby scope', 'gina also blogs for celebrity baby scope']
|
|
[
"air service at brotard airport is the main link outside the community",
"air service at brotard airport is the main link outside the community",
"air service at brotard airport is the main link outside the community",
"air service at brotered airport is the main link outside the community",
"air service at broughton airport is the main link outside the community"
] |
air service at brochet airport is the main link outside the community
|
air service at brotard airport is the main link outside the community.
|
air service at brotard airport is the main link outside the community. air service at brotard airport is the main link outside the community. air service at brotered airport is the main link outside the community. air service at broughton airport is the main link outside the community.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['air service at brotard airport is the main link outside the community', 'air service at brotard airport is the main link outside the community', 'air service at brotard airport is the main link outside the community', 'air service at brotered airport is the main link outside the community', 'air service at broughton airport is the main link outside the community']
|
|
[
"the storm is used by transportation engineers and planners",
"this term is used by transportation engineers and planners",
"the storm is used by a transportation engineers and planners",
"this term is used by a transportation engineers and planners",
"this storm is used by transportation engineers and planners"
] |
this term is used by transportation engineers and planners
|
the storm is used by transportation engineers and planners.
|
this term is used by transportation engineers and planners. the storm is used by a transportation engineers and planners. this term is used by a transportation engineers and planners. this storm is used by transportation engineers and planners.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the storm is used by transportation engineers and planners', 'this term is used by transportation engineers and planners', 'the storm is used by a transportation engineers and planners', 'this term is used by a transportation engineers and planners', 'this storm is used by transportation engineers and planners']
|
|
[
"petrol was pointed savik kubek",
"petrol was born savik kubek",
"petrol was pointed savik kubek",
"petrol was point in savik kubek",
"petrol was pointed sabik kubek"
] |
pelletier was born in sayabec quebec
|
petrol was pointed savik kubek.
|
petrol was born savik kubek. petrol was pointed savik kubek. petrol was point in savik kubek. petrol was pointed sabik kubek.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['petrol was pointed savik kubek', 'petrol was born savik kubek', 'petrol was pointed savik kubek', 'petrol was point in savik kubek', 'petrol was pointed sabik kubek']
|
|
[
"helmann is wife nancy finds her husband is body and is killed by kirby as well",
"hellman is wife nancy defines her husband is body and is killed by kirby as well",
"helmann is wife nancy defines her husband is body and is killed by kirby as well",
"hellman is wife nancy finds her husband is body and is killed by kirby as well",
"helmyn is wife nancy finds her husband is body and is killed by kirby as well"
] |
halman is wife nancy finds her husband is body and is killed by kirby as well
|
helmann is wife nancy finds her husband is body and is killed by kirby as well.
|
hellman is wife nancy defines her husband is body and is killed by kirby as well. helmann is wife nancy defines her husband is body and is killed by kirby as well. hellman is wife nancy finds her husband is body and is killed by kirby as well. helmyn is wife nancy finds her husband is body and is killed by kirby as well.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['helmann is wife nancy finds her husband is body and is killed by kirby as well', 'hellman is wife nancy defines her husband is body and is killed by kirby as well', 'helmann is wife nancy defines her husband is body and is killed by kirby as well', 'hellman is wife nancy finds her husband is body and is killed by kirby as well', 'helmyn is wife nancy finds her husband is body and is killed by kirby as well']
|
|
[
"solidarity is an integral element of catholic social teaching",
"solidarity is an integral element of catholic social teaching",
"solidarity is an integral element of catholic social teaching",
"solidarity is an integral element of catholic social teaching",
"solidarity is an integral element of catholic social teaching"
] |
solidarity is an integral element of catholic social teaching
|
solidarity is an integral element of catholic social teaching.
|
solidarity is an integral element of catholic social teaching. solidarity is an integral element of catholic social teaching. solidarity is an integral element of catholic social teaching. solidarity is an integral element of catholic social teaching.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['solidarity is an integral element of catholic social teaching', 'solidarity is an integral element of catholic social teaching', 'solidarity is an integral element of catholic social teaching', 'solidarity is an integral element of catholic social teaching', 'solidarity is an integral element of catholic social teaching']
|
|
[
"he is the oldest brother of sam tomkins and logan tomkins",
"he is the oldest brother of sam tomkens and logan tomkens",
"he is the oldest brother of sam tomkinz and logan tomkinz",
"he is the oldest brother of sam tomkinz and logan tomkinz",
"he is the oldest brother of sam tomkins and logan tomkins"
] |
he is the oldest brother of sam tomkins and logan tomkins
|
he is the oldest brother of sam tomkins and logan tomkins.
|
he is the oldest brother of sam tomkens and logan tomkens. he is the oldest brother of sam tomkinz and logan tomkinz. he is the oldest brother of sam tomkinz and logan tomkinz. he is the oldest brother of sam tomkins and logan tomkins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is the oldest brother of sam tomkins and logan tomkins', 'he is the oldest brother of sam tomkens and logan tomkens', 'he is the oldest brother of sam tomkinz and logan tomkinz', 'he is the oldest brother of sam tomkinz and logan tomkinz', 'he is the oldest brother of sam tomkins and logan tomkins']
|
|
[
"the red festering denotes courage and valor",
"the red festuring denotes courage and valor",
"the red festering denotes courage and valor",
"the red festering denotes courage and value",
"the red festering denotes courage and the valor"
] |
the red festoon denotes courage and valor
|
the red festering denotes courage and valor.
|
the red festuring denotes courage and valor. the red festering denotes courage and valor. the red festering denotes courage and value. the red festering denotes courage and the valor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the red festering denotes courage and valor', 'the red festuring denotes courage and valor', 'the red festering denotes courage and valor', 'the red festering denotes courage and value', 'the red festering denotes courage and the valor']
|
|
[
"also is credited on most of the tracks recorded for inspired",
"also is credited on most of the tracks recorded for inspired",
"also is credited on most of the tracks recorded for inspired",
"also is credited on most of the tracks recorded for inspired",
"also is credited on most of the tracks recorded for inspired"
] |
alsou is credited on most of the tracks recorded for inspired
|
also is credited on most of the tracks recorded for inspired.
|
also is credited on most of the tracks recorded for inspired. also is credited on most of the tracks recorded for inspired. also is credited on most of the tracks recorded for inspired. also is credited on most of the tracks recorded for inspired.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also is credited on most of the tracks recorded for inspired', 'also is credited on most of the tracks recorded for inspired', 'also is credited on most of the tracks recorded for inspired', 'also is credited on most of the tracks recorded for inspired', 'also is credited on most of the tracks recorded for inspired']
|
|
[
"it is separated into three sections with two black fences",
"it is separated into three sections with two black fences",
"it is separated into three sections with two black fences",
"it is separated into three sections with two black fences",
"it is separated into three sections with two black fences"
] |
it is separated into three sections with two black fences
|
it is separated into three sections with two black fences.
|
it is separated into three sections with two black fences. it is separated into three sections with two black fences. it is separated into three sections with two black fences. it is separated into three sections with two black fences.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is separated into three sections with two black fences', 'it is separated into three sections with two black fences', 'it is separated into three sections with two black fences', 'it is separated into three sections with two black fences', 'it is separated into three sections with two black fences']
|
|
[
"it is long part of which is on the beach",
"it is long part of which is on the beach",
"it is long part of which is on the beach",
"it is long part of which is on the beach",
"it is long part of which is on the beach"
] |
it is long part of which is on the beach
|
it is long part of which is on the beach.
|
it is long part of which is on the beach. it is long part of which is on the beach. it is long part of which is on the beach. it is long part of which is on the beach.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is long part of which is on the beach', 'it is long part of which is on the beach', 'it is long part of which is on the beach', 'it is long part of which is on the beach', 'it is long part of which is on the beach']
|
|
[
"no morphological character that could uniquely separate the subgenera has yet been identified",
"no morphological character that could you neatly separate the subgenera has yet been identified",
"no morphological character that could you deeply separate the subgenera has yet been identified",
"no morphological character that could you uniquely separate the subgenera has yet been identified",
"no morphological character that could you would neatly separate the subgenera has yet been identified"
] |
no morphological character that could uniquely separate the subgenera has yet been identified
|
no morphological character that could uniquely separate the subgenera has yet been identified.
|
no morphological character that could you neatly separate the subgenera has yet been identified. no morphological character that could you deeply separate the subgenera has yet been identified. no morphological character that could you uniquely separate the subgenera has yet been identified. no morphological character that could you would neatly separate the subgenera has yet been identified.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['no morphological character that could uniquely separate the subgenera has yet been identified', 'no morphological character that could you neatly separate the subgenera has yet been identified', 'no morphological character that could you deeply separate the subgenera has yet been identified', 'no morphological character that could you uniquely separate the subgenera has yet been identified', 'no morphological character that could you would neatly separate the subgenera has yet been identified']
|
|
[
"this affected their stance on investigation urgency thoroughness and possible contingency actions",
"this effected their stance on investigation urgency thoroughness and possible contingency actions",
"this affected their stance on investigation urgency thoroughness and possible contingency actions",
"disaffected their stance on investigation urgency there are no possible contingency actions",
"this affected their stance on investigation urgency thoroughness and possible contingency actions"
] |
this affected their stance on investigation urgency thoroughness and possible contingency actions
|
this affected their stance on investigation urgency thoroughness and possible contingency actions.
|
this effected their stance on investigation urgency thoroughness and possible contingency actions. this affected their stance on investigation urgency thoroughness and possible contingency actions. disaffected their stance on investigation urgency there are no possible contingency actions. this affected their stance on investigation urgency thoroughness and possible contingency actions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this affected their stance on investigation urgency thoroughness and possible contingency actions', 'this effected their stance on investigation urgency thoroughness and possible contingency actions', 'this affected their stance on investigation urgency thoroughness and possible contingency actions', 'disaffected their stance on investigation urgency there are no possible contingency actions', 'this affected their stance on investigation urgency thoroughness and possible contingency actions']
|
|
[
"the bra and panties match heroko wanted was later changed to a camino match",
"the bra and panties match heroko wanted was later changed to a kamono match",
"the bra and panties match heroko wanted was later changed to a kimono match",
"the bra and panties match heroko wanted was later changed to a kimono match",
"the bra and panties match heroko wanted was later changed to a kimono match"
] |
the bra and panties match hiroko wanted was later changed to a kimono match
|
the bra and panties match heroko wanted was later changed to a camino match.
|
the bra and panties match heroko wanted was later changed to a kamono match. the bra and panties match heroko wanted was later changed to a kimono match. the bra and panties match heroko wanted was later changed to a kimono match. the bra and panties match heroko wanted was later changed to a kimono match.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bra and panties match heroko wanted was later changed to a camino match', 'the bra and panties match heroko wanted was later changed to a kamono match', 'the bra and panties match heroko wanted was later changed to a kimono match', 'the bra and panties match heroko wanted was later changed to a kimono match', 'the bra and panties match heroko wanted was later changed to a kimono match']
|
|
[
"prime and curvis performed warm up for the audience",
"prime and curves performed warm up for the audience",
"prime and curvers performed warm up for the audience",
"prime and curvis performed warm up for the audience",
"prime and curves performed warm up for the audience"
] |
brian nankervis performed warm up for the audience
|
prime and curvis performed warm up for the audience.
|
prime and curves performed warm up for the audience. prime and curvers performed warm up for the audience. prime and curvis performed warm up for the audience. prime and curves performed warm up for the audience.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['prime and curvis performed warm up for the audience', 'prime and curves performed warm up for the audience', 'prime and curvers performed warm up for the audience', 'prime and curvis performed warm up for the audience', 'prime and curves performed warm up for the audience']
|
|
[
"dremninger greatly regretted casting fade on away with whom he clashed on a regular basis",
"dremninger greatly regretted casting fey done away with whom he clashed on a regular basis",
"dremninger greatly regretted casting fade on away with whom he clashed on a regular basis",
"dremninger greatly regretted casting fey done away with whom he clashed on a regular basis",
"dremninger greatly regretted casting fade on away with whom he clashed on a regular basis"
] |
preminger greatly regretted casting faye dunaway with whom he clashed on a regular basis
|
dremninger greatly regretted casting fade on away with whom he clashed on a regular basis.
|
dremninger greatly regretted casting fey done away with whom he clashed on a regular basis. dremninger greatly regretted casting fade on away with whom he clashed on a regular basis. dremninger greatly regretted casting fey done away with whom he clashed on a regular basis. dremninger greatly regretted casting fade on away with whom he clashed on a regular basis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dremninger greatly regretted casting fade on away with whom he clashed on a regular basis', 'dremninger greatly regretted casting fey done away with whom he clashed on a regular basis', 'dremninger greatly regretted casting fade on away with whom he clashed on a regular basis', 'dremninger greatly regretted casting fey done away with whom he clashed on a regular basis', 'dremninger greatly regretted casting fade on away with whom he clashed on a regular basis']
|
|
[
"its four national services are radios zernal devoika latava and plus",
"its four national services are radio zernal devoika latava and plus",
"its four national services are radiosurnal voica latava and plus",
"its four national services are radio zernal dvoika latava and plus",
"its four national services are radeo zurnal dvoika latava and plus"
] |
its four national services are radiozurnal dvojka vltava and plus
|
its four national services are radios zernal devoika latava and plus.
|
its four national services are radio zernal devoika latava and plus. its four national services are radiosurnal voica latava and plus. its four national services are radio zernal dvoika latava and plus. its four national services are radeo zurnal dvoika latava and plus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its four national services are radios zernal devoika latava and plus', 'its four national services are radio zernal devoika latava and plus', 'its four national services are radiosurnal voica latava and plus', 'its four national services are radio zernal dvoika latava and plus', 'its four national services are radeo zurnal dvoika latava and plus']
|
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