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
|
|---|---|---|---|---|---|---|---|---|
[
"his personal conversion was not pressed upon his bergen bienniewicz",
"his personal conversion was not pressed upon his bergen bien opens",
"his personal conversion was not pressed upon his bergen biennum once",
"his personal conversion was not pressed upon his bergen biennoparch",
"his personal conversion was not pressed upon his bergen biennufferch"
] |
his personal conversion was not pressed upon his burgundian nobles
|
his personal conversion was not pressed upon his bergen bienniewicz.
|
his personal conversion was not pressed upon his bergen bien opens. his personal conversion was not pressed upon his bergen biennum once. his personal conversion was not pressed upon his bergen biennoparch. his personal conversion was not pressed upon his bergen biennufferch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his personal conversion was not pressed upon his bergen bienniewicz', 'his personal conversion was not pressed upon his bergen bien opens', 'his personal conversion was not pressed upon his bergen biennum once', 'his personal conversion was not pressed upon his bergen biennoparch', 'his personal conversion was not pressed upon his bergen biennufferch']
|
|
[
"new hackford is served by the new hackford central school district",
"new hackford is served by the new hackford central school district",
"new hackford is sold by the new hackford central school district",
"new hackford is sold by the new hackford central school district",
"new hackford is served by the new hackford central school district"
] |
new hartford is served by the new hartford central school district
|
new hackford is served by the new hackford central school district.
|
new hackford is served by the new hackford central school district. new hackford is sold by the new hackford central school district. new hackford is sold by the new hackford central school district. new hackford is served by the new hackford central school district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['new hackford is served by the new hackford central school district', 'new hackford is served by the new hackford central school district', 'new hackford is sold by the new hackford central school district', 'new hackford is sold by the new hackford central school district', 'new hackford is served by the new hackford central school district']
|
|
[
"the pupils in the book are named off the letters of the greek alphabet",
"the pupils and the book are named off the letters of the greek alphabet",
"the pupils in the book are named after the letters of the greek alphabet",
"the pupils in the book are named off the letters of the greek alphabet",
"the pupils in the book are named off the letters of the greek alphabet"
] |
the pupils in the book are named after letters of the greek alphabet
|
the pupils in the book are named off the letters of the greek alphabet.
|
the pupils and the book are named off the letters of the greek alphabet. the pupils in the book are named after the letters of the greek alphabet. the pupils in the book are named off the letters of the greek alphabet. the pupils in the book are named off the letters of the greek alphabet.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the pupils in the book are named off the letters of the greek alphabet', 'the pupils and the book are named off the letters of the greek alphabet', 'the pupils in the book are named after the letters of the greek alphabet', 'the pupils in the book are named off the letters of the greek alphabet', 'the pupils in the book are named off the letters of the greek alphabet']
|
|
[
"if one or two players move mister do around the castle with various levels",
"if one or two players move mister do around the castle with various levels",
"if one or two players move mister do around the castle with various levels",
"if one or two players move mister do around the castle with various levels",
"if one or two players move mister do around the castle with various levels"
] |
one or two players moved mister do around a castle with various levels
|
if one or two players move mister do around the castle with various levels.
|
if one or two players move mister do around the castle with various levels. if one or two players move mister do around the castle with various levels. if one or two players move mister do around the castle with various levels. if one or two players move mister do around the castle with various levels.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if one or two players move mister do around the castle with various levels', 'if one or two players move mister do around the castle with various levels', 'if one or two players move mister do around the castle with various levels', 'if one or two players move mister do around the castle with various levels', 'if one or two players move mister do around the castle with various levels']
|
|
[
"analog trigger signals transfer a pulse per musical event",
"analog trigger signals transfer a pulse per musical event",
"analog trigger signals transfer a pulse per musical event",
"analog trigger signals transfer a pulse per musical event",
"analog trigger signals transfer a pulse per musical event"
] |
analog trigger signals transfer a pulse per musical event
|
analog trigger signals transfer a pulse per musical event.
|
analog trigger signals transfer a pulse per musical event. analog trigger signals transfer a pulse per musical event. analog trigger signals transfer a pulse per musical event. analog trigger signals transfer a pulse per musical event.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['analog trigger signals transfer a pulse per musical event', 'analog trigger signals transfer a pulse per musical event', 'analog trigger signals transfer a pulse per musical event', 'analog trigger signals transfer a pulse per musical event', 'analog trigger signals transfer a pulse per musical event']
|
|
[
"drained by the panama corn river benbrok is on copscook b",
"drained by the panama corn river benbrok is on copscook b",
"drained by the panama corn river benbrock is on copscook b",
"drained by the panama corn river benbrock is on copscook b",
"drained by the panama corn river pembroke is on copscook b"
] |
drained by the pennamaquan river pembroke is on cobscook bay
|
drained by the panama corn river benbrok is on copscook b.
|
drained by the panama corn river benbrok is on copscook b. drained by the panama corn river benbrock is on copscook b. drained by the panama corn river benbrock is on copscook b. drained by the panama corn river pembroke is on copscook b.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['drained by the panama corn river benbrok is on copscook b', 'drained by the panama corn river benbrok is on copscook b', 'drained by the panama corn river benbrock is on copscook b', 'drained by the panama corn river benbrock is on copscook b', 'drained by the panama corn river pembroke is on copscook b']
|
|
[
"as she created nighttime he created daytime",
"as she created night time he created daytime",
"as she created night time he created daytime",
"as she created night time he created daytime",
"as she created nighttime he created daytime"
] |
as she created nighttime he created daytime
|
as she created nighttime he created daytime.
|
as she created night time he created daytime. as she created night time he created daytime. as she created night time he created daytime. as she created nighttime he created daytime.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as she created nighttime he created daytime', 'as she created night time he created daytime', 'as she created night time he created daytime', 'as she created night time he created daytime', 'as she created nighttime he created daytime']
|
|
[
"this is the dual tile in of the tri hexagonal tile in or kagome lettuce",
"this is the dual tile in of the tri hexagonal tile in or kagome lettuce",
"this is the dual tile in of the trihexagonal tile in or kagome lettuce",
"this is the dual tile in of the tri hexagonal tile in or kagome lettuce",
"this is the dual tile in of the tri hexagonal tile in or kagomi lattice"
] |
this is the dual tiling of the trihexagonal tiling or kagome lattice
|
this is the dual tile in of the tri hexagonal tile in or kagome lettuce.
|
this is the dual tile in of the tri hexagonal tile in or kagome lettuce. this is the dual tile in of the trihexagonal tile in or kagome lettuce. this is the dual tile in of the tri hexagonal tile in or kagome lettuce. this is the dual tile in of the tri hexagonal tile in or kagomi lattice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is the dual tile in of the tri hexagonal tile in or kagome lettuce', 'this is the dual tile in of the tri hexagonal tile in or kagome lettuce', 'this is the dual tile in of the trihexagonal tile in or kagome lettuce', 'this is the dual tile in of the tri hexagonal tile in or kagome lettuce', 'this is the dual tile in of the tri hexagonal tile in or kagomi lattice']
|
|
[
"both a cruising track record and a plentiful supply of spares was assured",
"false accrues in track record and a plentiful supply of spares was assured",
"both accrues and track record and a plentiful supply of spares was assured",
"false accrues and track record and a plentiful supply of spares was assured",
"also a cruising track record and a plentiful supply of spares was assured"
] |
thus a proven track record and a plentiful supply of spares was assured
|
both a cruising track record and a plentiful supply of spares was assured.
|
false accrues in track record and a plentiful supply of spares was assured. both accrues and track record and a plentiful supply of spares was assured. false accrues and track record and a plentiful supply of spares was assured. also a cruising track record and a plentiful supply of spares was assured.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both a cruising track record and a plentiful supply of spares was assured', 'false accrues in track record and a plentiful supply of spares was assured', 'both accrues and track record and a plentiful supply of spares was assured', 'false accrues and track record and a plentiful supply of spares was assured', 'also a cruising track record and a plentiful supply of spares was assured']
|
|
[
"the naval air squadron operated but did not own the aircraft",
"the naval air squadron operated but did not own the aircraft",
"the naval air squadron operated but did not own the aircraft",
"the naval air squadron operated but did not own the aircraft",
"the naval air squadron operated but did not own the aircraft"
] |
the naval air squadron operated but did not own the aircraft
|
the naval air squadron operated but did not own the aircraft.
|
the naval air squadron operated but did not own the aircraft. the naval air squadron operated but did not own the aircraft. the naval air squadron operated but did not own the aircraft. the naval air squadron operated but did not own the aircraft.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the naval air squadron operated but did not own the aircraft', 'the naval air squadron operated but did not own the aircraft', 'the naval air squadron operated but did not own the aircraft', 'the naval air squadron operated but did not own the aircraft', 'the naval air squadron operated but did not own the aircraft']
|
|
[
"southerly library is located within the wall",
"southeredly library is located within the wall",
"southerly library is located within the wall",
"southeredly library is located within the wall",
"southeredly library is located within the ward"
] |
south yardley library is located within the ward
|
southerly library is located within the wall.
|
southeredly library is located within the wall. southerly library is located within the wall. southeredly library is located within the wall. southeredly library is located within the ward.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['southerly library is located within the wall', 'southeredly library is located within the wall', 'southerly library is located within the wall', 'southeredly library is located within the wall', 'southeredly library is located within the ward']
|
|
[
"harris has become infected from a repeated injections and has to be amputated",
"harry is has become infected from a repeated injections and has to be amputated",
"haris has become infected from a repeated injections and has to be amputated",
"harris has pick up infected from a repeated injections and has to be amputated",
"harris has become infected from repeated injections and has to be amputated"
] |
harry is arm has become infected from repeated injections and has to be amputated
|
harris has become infected from a repeated injections and has to be amputated.
|
harry is has become infected from a repeated injections and has to be amputated. haris has become infected from a repeated injections and has to be amputated. harris has pick up infected from a repeated injections and has to be amputated. harris has become infected from repeated injections and has to be amputated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['harris has become infected from a repeated injections and has to be amputated', 'harry is has become infected from a repeated injections and has to be amputated', 'haris has become infected from a repeated injections and has to be amputated', 'harris has pick up infected from a repeated injections and has to be amputated', 'harris has become infected from repeated injections and has to be amputated']
|
|
[
"the publisher is out to publishing india primate",
"the publisher is out to publishing india framework",
"the publisher is out to publishing india fremont",
"the publisher is out to publishing india fremant",
"the publisher is out to publishing india tremend"
] |
the publisher is outlook publishing india pvt
|
the publisher is out to publishing india primate.
|
the publisher is out to publishing india framework. the publisher is out to publishing india fremont. the publisher is out to publishing india fremant. the publisher is out to publishing india tremend.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the publisher is out to publishing india primate', 'the publisher is out to publishing india framework', 'the publisher is out to publishing india fremont', 'the publisher is out to publishing india fremant', 'the publisher is out to publishing india tremend']
|
|
[
"after only a few shows alconance left the band",
"after only a few shows alconons left the band",
"after only a few shows alcoholines left the band",
"after only a few shows alcoholins left the band",
"after only a few shows alconance left a band"
] |
after only a few shows al collins left the band
|
after only a few shows alconance left the band.
|
after only a few shows alconons left the band. after only a few shows alcoholines left the band. after only a few shows alcoholins left the band. after only a few shows alconance left a band.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after only a few shows alconance left the band', 'after only a few shows alconons left the band', 'after only a few shows alcoholines left the band', 'after only a few shows alcoholins left the band', 'after only a few shows alconance left a band']
|
|
[
"hornsby is one of the best hitters of all time",
"horn is v is one of the best hitters of all time",
"horn speed is one of the best hitters of all time",
"hornsby is one of the best hitters of all time",
"hornsby is one of the best hitters of all time"
] |
hornsby is one of the best hitters of all time
|
hornsby is one of the best hitters of all time.
|
horn is v is one of the best hitters of all time. horn speed is one of the best hitters of all time. hornsby is one of the best hitters of all time. hornsby is one of the best hitters of all time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hornsby is one of the best hitters of all time', 'horn is v is one of the best hitters of all time', 'horn speed is one of the best hitters of all time', 'hornsby is one of the best hitters of all time', 'hornsby is one of the best hitters of all time']
|
|
[
"many financial institutions have regional offices located in downtown greenville",
"many financial institutions have regional officers located in downtown greenville",
"many financial institutions have regional offices located in downtown greenville",
"many financial institutions have regional offices located in downtown greeneville",
"many financial institutions have regional offices located in downtown greenville"
] |
many financial institutions have regional offices located in downtown greenville
|
many financial institutions have regional offices located in downtown greenville.
|
many financial institutions have regional officers located in downtown greenville. many financial institutions have regional offices located in downtown greenville. many financial institutions have regional offices located in downtown greeneville. many financial institutions have regional offices located in downtown greenville.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many financial institutions have regional offices located in downtown greenville', 'many financial institutions have regional officers located in downtown greenville', 'many financial institutions have regional offices located in downtown greenville', 'many financial institutions have regional offices located in downtown greeneville', 'many financial institutions have regional offices located in downtown greenville']
|
|
[
"displaying nazi symbols or propaganda is against the law in germany",
"displaying nazi symbols of propaganda is against the law in germany",
"displaying nazi symbols of propaganda is against the law in germany",
"displaying nazi symbols or propaganda is against the law in germany",
"displaying nazi symbols or propaganda is against the law in germany"
] |
displaying nazi symbols or propaganda is against the law in germany
|
displaying nazi symbols or propaganda is against the law in germany.
|
displaying nazi symbols of propaganda is against the law in germany. displaying nazi symbols of propaganda is against the law in germany. displaying nazi symbols or propaganda is against the law in germany. displaying nazi symbols or propaganda is against the law in germany.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['displaying nazi symbols or propaganda is against the law in germany', 'displaying nazi symbols of propaganda is against the law in germany', 'displaying nazi symbols of propaganda is against the law in germany', 'displaying nazi symbols or propaganda is against the law in germany', 'displaying nazi symbols or propaganda is against the law in germany']
|
|
[
"the nearest settlement is the town of menai bridge",
"the nearest settlement is the town of menae bridge",
"the nearest settlement is the town of meenai bridge",
"the nearest settlement is the town of menae bridge",
"the nearest settlement is the town of menae bridge"
] |
the nearest settlement is the town of menai bridge
|
the nearest settlement is the town of menai bridge.
|
the nearest settlement is the town of menae bridge. the nearest settlement is the town of meenai bridge. the nearest settlement is the town of menae bridge. the nearest settlement is the town of menae bridge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the nearest settlement is the town of menai bridge', 'the nearest settlement is the town of menae bridge', 'the nearest settlement is the town of meenai bridge', 'the nearest settlement is the town of menae bridge', 'the nearest settlement is the town of menae bridge']
|
|
[
"one of kena is original products was the bubblematic a toy gun that blue bubbles",
"one of kena is original products was the bubble metric a toy gun that blue bubbles",
"one of kena is original products was the bubble metric a toy gun that blew bubbles",
"one of kena is original products was the bubblematic a toy gun that blew bubbles",
"one of kena is original products was the bubble magic a toy gun that blue bubbles"
] |
one of kenner is original products was the bubble matic a toy gun that blew bubbles
|
one of kena is original products was the bubblematic a toy gun that blue bubbles.
|
one of kena is original products was the bubble metric a toy gun that blue bubbles. one of kena is original products was the bubble metric a toy gun that blew bubbles. one of kena is original products was the bubblematic a toy gun that blew bubbles. one of kena is original products was the bubble magic a toy gun that blue bubbles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one of kena is original products was the bubblematic a toy gun that blue bubbles', 'one of kena is original products was the bubble metric a toy gun that blue bubbles', 'one of kena is original products was the bubble metric a toy gun that blew bubbles', 'one of kena is original products was the bubblematic a toy gun that blew bubbles', 'one of kena is original products was the bubble magic a toy gun that blue bubbles']
|
|
[
"many important national horse racing events are held there",
"many important national horse racing events are held there",
"many important national horse racing events are held there",
"many important national horse racing events are held there",
"many important national horse racing events are held there"
] |
many important national horse racing events are held there
|
many important national horse racing events are held there.
|
many important national horse racing events are held there. many important national horse racing events are held there. many important national horse racing events are held there. many important national horse racing events are held there.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many important national horse racing events are held there', 'many important national horse racing events are held there', 'many important national horse racing events are held there', 'many important national horse racing events are held there', 'many important national horse racing events are held there']
|
|
[
"it is based on the same design as his work at coventry cathedral",
"it is based on the same design as his work at coventry cathedral",
"it is based on the same design as his work at coventry cathedral",
"it is based on the same design as his work at coventry cathedral",
"it is based on the same design as his work at coventry cathedral"
] |
it is based on the same design as his work at coventry cathedral
|
it is based on the same design as his work at coventry cathedral.
|
it is based on the same design as his work at coventry cathedral. it is based on the same design as his work at coventry cathedral. it is based on the same design as his work at coventry cathedral. it is based on the same design as his work at coventry cathedral.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is based on the same design as his work at coventry cathedral', 'it is based on the same design as his work at coventry cathedral', 'it is based on the same design as his work at coventry cathedral', 'it is based on the same design as his work at coventry cathedral', 'it is based on the same design as his work at coventry cathedral']
|
|
[
"he is well regarded in the feud of latin american literature",
"he is well regarded in the feud of latin american literature",
"he is well regarded in the field of latin american literature",
"he is well regarded in the feud of latin american literature",
"he is well regarded in the field of latin american literature"
] |
he is well regarded in the field of latin american literature
|
he is well regarded in the feud of latin american literature.
|
he is well regarded in the feud of latin american literature. he is well regarded in the field of latin american literature. he is well regarded in the feud of latin american literature. he is well regarded in the field of latin american literature.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is well regarded in the feud of latin american literature', 'he is well regarded in the feud of latin american literature', 'he is well regarded in the field of latin american literature', 'he is well regarded in the feud of latin american literature', 'he is well regarded in the field of latin american literature']
|
|
[
"when the leader played his college yet football at the university of southern mississippi",
"when the leader played his college yet football at the university of southern mississippi",
"when the leader played his college year at football at the university of southern mississippi",
"when the leader played his college yet football at the university of southern mississippi",
"when the lady played his college yet football at the university of southern mississippi"
] |
winder later played his collegiate football at the university of southern mississippi
|
when the leader played his college yet football at the university of southern mississippi.
|
when the leader played his college yet football at the university of southern mississippi. when the leader played his college year at football at the university of southern mississippi. when the leader played his college yet football at the university of southern mississippi. when the lady played his college yet football at the university of southern mississippi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when the leader played his college yet football at the university of southern mississippi', 'when the leader played his college yet football at the university of southern mississippi', 'when the leader played his college year at football at the university of southern mississippi', 'when the leader played his college yet football at the university of southern mississippi', 'when the lady played his college yet football at the university of southern mississippi']
|
|
[
"this battle is also covered in more detail in the titans own series",
"this battle is also covered in more detail in the titan is own series",
"this battle is also covered in more detail in the titans own series",
"this battle is also covered in more detail in the titans own series",
"this battle is also covered in more detail in the titan is own series"
] |
this battle is also covered in more detail in the titans own series
|
this battle is also covered in more detail in the titans own series.
|
this battle is also covered in more detail in the titan is own series. this battle is also covered in more detail in the titans own series. this battle is also covered in more detail in the titans own series. this battle is also covered in more detail in the titan is own series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this battle is also covered in more detail in the titans own series', 'this battle is also covered in more detail in the titan is own series', 'this battle is also covered in more detail in the titans own series', 'this battle is also covered in more detail in the titans own series', 'this battle is also covered in more detail in the titan is own series']
|
|
[
"the novels have identical plots and even some identical episodes",
"the novels have identical plots and even some identical episodes",
"the novels have identical plots and even some identical episodes",
"the novel is have identical plots and even some identical episodes",
"the novel is have identical plots and even some identical episodes"
] |
the novels have identical plots and even some identical episodes
|
the novels have identical plots and even some identical episodes.
|
the novels have identical plots and even some identical episodes. the novels have identical plots and even some identical episodes. the novel is have identical plots and even some identical episodes. the novel is have identical plots and even some identical episodes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the novels have identical plots and even some identical episodes', 'the novels have identical plots and even some identical episodes', 'the novels have identical plots and even some identical episodes', 'the novel is have identical plots and even some identical episodes', 'the novel is have identical plots and even some identical episodes']
|
|
[
"having such call up works on the ship was detrimental to sailing performance",
"having such dollop works on the ship was detrimental to sailing performance",
"having such call up works on the shift force detrimental to sailing performance",
"having such cool artworks on the ship was detrimental to sailing performance",
"having such co lap works on the ship was detrimental to sailing performance"
] |
having such tall upper works on the ship was detrimental to sailing performance
|
having such call up works on the ship was detrimental to sailing performance.
|
having such dollop works on the ship was detrimental to sailing performance. having such call up works on the shift force detrimental to sailing performance. having such cool artworks on the ship was detrimental to sailing performance. having such co lap works on the ship was detrimental to sailing performance.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['having such call up works on the ship was detrimental to sailing performance', 'having such dollop works on the ship was detrimental to sailing performance', 'having such call up works on the shift force detrimental to sailing performance', 'having such cool artworks on the ship was detrimental to sailing performance', 'having such co lap works on the ship was detrimental to sailing performance']
|
|
[
"night and baby begins to climb the tower",
"night and baby begins to climb the tower",
"night and baby begins to climb the tower",
"night and baby begins to climb the tower",
"night and baby begins to climb the tower"
] |
knight and baby begin to climb the tower
|
night and baby begins to climb the tower.
|
night and baby begins to climb the tower. night and baby begins to climb the tower. night and baby begins to climb the tower. night and baby begins to climb the tower.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['night and baby begins to climb the tower', 'night and baby begins to climb the tower', 'night and baby begins to climb the tower', 'night and baby begins to climb the tower', 'night and baby begins to climb the tower']
|
|
[
"see dolomized intense diatonic scale",
"see randomized intense diatonic scale",
"see polymerized intense diatonic scale",
"see tolemize intense diatonic scale",
"see polymerised intense diatonic scale"
] |
see ptolemy is intense diatonic scale
|
see dolomized intense diatonic scale.
|
see randomized intense diatonic scale. see polymerized intense diatonic scale. see tolemize intense diatonic scale. see polymerised intense diatonic scale.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see dolomized intense diatonic scale', 'see randomized intense diatonic scale', 'see polymerized intense diatonic scale', 'see tolemize intense diatonic scale', 'see polymerised intense diatonic scale']
|
|
[
"currently reciting in mechingern he is an active participant in a mature drag racing",
"currently reciting in mechingern he is an active participant in a mature drag racing",
"currently residing in mechingern he is an active participant in a mature drag racing",
"currently residing in mechengun he is an active participant in a mature drag racing",
"currently reciting in mechengun he is an active participant in a mature drag racing"
] |
currently residing in michigan he is an active participant in amateur drag racing
|
currently reciting in mechingern he is an active participant in a mature drag racing.
|
currently reciting in mechingern he is an active participant in a mature drag racing. currently residing in mechingern he is an active participant in a mature drag racing. currently residing in mechengun he is an active participant in a mature drag racing. currently reciting in mechengun he is an active participant in a mature drag racing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['currently reciting in mechingern he is an active participant in a mature drag racing', 'currently reciting in mechingern he is an active participant in a mature drag racing', 'currently residing in mechingern he is an active participant in a mature drag racing', 'currently residing in mechengun he is an active participant in a mature drag racing', 'currently reciting in mechengun he is an active participant in a mature drag racing']
|
|
[
"a common slogan used by his supporters is free to fall",
"a common slogan used by his supporters is free the fall",
"a common slogan used by his supporters is free the fall",
"a common slogan used by his supporters is free to fall",
"a common slogan used by his supporters is free to fall"
] |
a common slogan used by his supporters is free the four
|
a common slogan used by his supporters is free to fall.
|
a common slogan used by his supporters is free the fall. a common slogan used by his supporters is free the fall. a common slogan used by his supporters is free to fall. a common slogan used by his supporters is free to fall.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a common slogan used by his supporters is free to fall', 'a common slogan used by his supporters is free the fall', 'a common slogan used by his supporters is free the fall', 'a common slogan used by his supporters is free to fall', 'a common slogan used by his supporters is free to fall']
|
|
[
"they later bagged down from their legal action",
"they later bagged down from their legal action",
"they later back down from their legal action",
"they later bagged down from their legal action",
"they later back down from their legal action"
] |
they later backed down from their legal action
|
they later bagged down from their legal action.
|
they later bagged down from their legal action. they later back down from their legal action. they later bagged down from their legal action. they later back down from their legal action.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they later bagged down from their legal action', 'they later bagged down from their legal action', 'they later back down from their legal action', 'they later bagged down from their legal action', 'they later back down from their legal action']
|
|
[
"the wounds were not life threatening",
"the worms were not life threatening",
"the words were not life threatening",
"the worms were not life threatening",
"the wounds were not life threatening"
] |
the wounds were not life threatening
|
the wounds were not life threatening.
|
the worms were not life threatening. the words were not life threatening. the worms were not life threatening. the wounds were not life threatening.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the wounds were not life threatening', 'the worms were not life threatening', 'the words were not life threatening', 'the worms were not life threatening', 'the wounds were not life threatening']
|
|
[
"the best signal for us is part of the team",
"the best thing first is part of the team",
"the best single first is part of the team",
"the best signal host is part of the team",
"the best signal first is part of the team"
] |
sebastian faust is part of the team
|
the best signal for us is part of the team.
|
the best thing first is part of the team. the best single first is part of the team. the best signal host is part of the team. the best signal first is part of the team.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the best signal for us is part of the team', 'the best thing first is part of the team', 'the best single first is part of the team', 'the best signal host is part of the team', 'the best signal first is part of the team']
|
|
[
"both these letters showed the influence of tofu in their own poetic work",
"both these writers showed the influence of tofu in their own poetic work",
"both these writers showed the influence of dufu in their own poetic work",
"both these letters showed the influence of dufu in their own poetic work",
"both of these writers showed the influence of tofu in their own poetic work"
] |
both these writers showed the influence of du fu in their own poetic work
|
both these letters showed the influence of tofu in their own poetic work.
|
both these writers showed the influence of tofu in their own poetic work. both these writers showed the influence of dufu in their own poetic work. both these letters showed the influence of dufu in their own poetic work. both of these writers showed the influence of tofu in their own poetic work.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both these letters showed the influence of tofu in their own poetic work', 'both these writers showed the influence of tofu in their own poetic work', 'both these writers showed the influence of dufu in their own poetic work', 'both these letters showed the influence of dufu in their own poetic work', 'both of these writers showed the influence of tofu in their own poetic work']
|
|
[
"a hit is attributed to the main artist given credit",
"a hit is attributed to the main artist given credit",
"the hit is attributed to the main artist given credit",
"heet is attributed to the main artist given credit",
"heat is attributed to the main artist given credit"
] |
a hit is attributed to the main artist given credit
|
a hit is attributed to the main artist given credit.
|
a hit is attributed to the main artist given credit. the hit is attributed to the main artist given credit. heet is attributed to the main artist given credit. heat is attributed to the main artist given credit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a hit is attributed to the main artist given credit', 'a hit is attributed to the main artist given credit', 'the hit is attributed to the main artist given credit', 'heet is attributed to the main artist given credit', 'heat is attributed to the main artist given credit']
|
|
[
"j maker the original drama left after the record strange days",
"j maker your original drama left after the record strange days",
"j maker the original drama left after the record strange days",
"j maker the original drama left after the record strange days",
"j maker the original drama left after the record strange days"
] |
jay maker the original drummer left after the record strange days
|
j maker the original drama left after the record strange days.
|
j maker your original drama left after the record strange days. j maker the original drama left after the record strange days. j maker the original drama left after the record strange days. j maker the original drama left after the record strange days.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['j maker the original drama left after the record strange days', 'j maker your original drama left after the record strange days', 'j maker the original drama left after the record strange days', 'j maker the original drama left after the record strange days', 'j maker the original drama left after the record strange days']
|
|
[
"not so easily as you think",
"not so easy as you think",
"not so easily as you think",
"not so easy as you think",
"not so easy as you think"
] |
not so easily as you think
|
not so easily as you think.
|
not so easy as you think. not so easily as you think. not so easy as you think. not so easy as you think.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['not so easily as you think', 'not so easy as you think', 'not so easily as you think', 'not so easy as you think', 'not so easy as you think']
|
|
[
"okay what is laid down by you electric board company of crononic data",
"okay what is left down by you electric board company of crononic data",
"okay what is laid down by you electric board company of cron connet data",
"okay what is laid down by you electric board company of cronthonic data",
"okay what is laid down by you electric board company of cronthonic taker"
] |
her keel was laid down by the electric boat company of groton connecticut
|
okay what is laid down by you electric board company of crononic data.
|
okay what is left down by you electric board company of crononic data. okay what is laid down by you electric board company of cron connet data. okay what is laid down by you electric board company of cronthonic data. okay what is laid down by you electric board company of cronthonic taker.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['okay what is laid down by you electric board company of crononic data', 'okay what is left down by you electric board company of crononic data', 'okay what is laid down by you electric board company of cron connet data', 'okay what is laid down by you electric board company of cronthonic data', 'okay what is laid down by you electric board company of cronthonic taker']
|
|
[
"other monasteries and castles that he built a inch avian dundrum",
"other monasteries and castles that he build our inch avian dundrum",
"other monasteries and castles that he built our inch avian dundrum",
"other monasteries and castles that he built are inch avi and dundrum",
"other monasteries and castles that he build are inch avi and dundrum"
] |
other monasteries and castles that he built are inch abbey and dundrum
|
other monasteries and castles that he built a inch avian dundrum.
|
other monasteries and castles that he build our inch avian dundrum. other monasteries and castles that he built our inch avian dundrum. other monasteries and castles that he built are inch avi and dundrum. other monasteries and castles that he build are inch avi and dundrum.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other monasteries and castles that he built a inch avian dundrum', 'other monasteries and castles that he build our inch avian dundrum', 'other monasteries and castles that he built our inch avian dundrum', 'other monasteries and castles that he built are inch avi and dundrum', 'other monasteries and castles that he build are inch avi and dundrum']
|
|
[
"forward was born in paris",
"forward was born in paris",
"forward was born in paris",
"forward was born in paris",
"forward was born in paris"
] |
pauvert was born in paris
|
forward was born in paris.
|
forward was born in paris. forward was born in paris. forward was born in paris. forward was born in paris.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['forward was born in paris', 'forward was born in paris', 'forward was born in paris', 'forward was born in paris', 'forward was born in paris']
|
|
[
"resulting helpoid nucleic migrate into elongated singhases",
"resulting helpoid nucleic migrate into elongated singhaces",
"resulting herpoid nucleic migrate into elongated singhaces",
"resulting herpoid nucleic migrate into elongated singhases",
"resulting herpoid nucleic migrate into elongated singa says"
] |
resulting haploid nuclei migrate into elongated single cells
|
resulting helpoid nucleic migrate into elongated singhases.
|
resulting helpoid nucleic migrate into elongated singhaces. resulting herpoid nucleic migrate into elongated singhaces. resulting herpoid nucleic migrate into elongated singhases. resulting herpoid nucleic migrate into elongated singa says.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['resulting helpoid nucleic migrate into elongated singhases', 'resulting helpoid nucleic migrate into elongated singhaces', 'resulting herpoid nucleic migrate into elongated singhaces', 'resulting herpoid nucleic migrate into elongated singhases', 'resulting herpoid nucleic migrate into elongated singa says']
|
|
[
"it is located in the vestra akabora",
"it is located in the vestra akabara",
"it is located in the vestra acabora",
"it is located in the vesstra akabora",
"it is located in the vestra akabura"
] |
it is located in the vestre aker borough
|
it is located in the vestra akabora.
|
it is located in the vestra akabara. it is located in the vestra acabora. it is located in the vesstra akabora. it is located in the vestra akabura.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is located in the vestra akabora', 'it is located in the vestra akabara', 'it is located in the vestra acabora', 'it is located in the vesstra akabora', 'it is located in the vestra akabura']
|
|
[
"this wimble is hardened with one atm",
"this wimble is hardened with one hundred and eightym",
"this wimble is hardened with one hundred and eightym",
"this wimble is hardened with one atm",
"this wimble is hardened with one hundred and eightym"
] |
this wimble is hardened with vanadium
|
this wimble is hardened with one atm.
|
this wimble is hardened with one hundred and eightym. this wimble is hardened with one hundred and eightym. this wimble is hardened with one atm. this wimble is hardened with one hundred and eightym.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this wimble is hardened with one atm', 'this wimble is hardened with one hundred and eightym', 'this wimble is hardened with one hundred and eightym', 'this wimble is hardened with one atm', 'this wimble is hardened with one hundred and eightym']
|
|
[
"it was the fourth largest in the world",
"it was the fourth largest in the world",
"it was the fourth largest in the world",
"it was the fourth largest in the world",
"it was the fourth largest in the world"
] |
it was the fourth largest in the world
|
it was the fourth largest in the world.
|
it was the fourth largest in the world. it was the fourth largest in the world. it was the fourth largest in the world. it was the fourth largest in the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the fourth largest in the world', 'it was the fourth largest in the world', 'it was the fourth largest in the world', 'it was the fourth largest in the world', 'it was the fourth largest in the world']
|
|
[
"it is also revealed that the prophecy was only supposed to be a warning",
"it is also revealed that the prophesy was only supposed to be a warning",
"it is also revealed that the prophecy was only supposed to be a warning",
"it is also revealed that the prophesy was only supposed to be a warning",
"it is also revealed that the prophecy was only supposed to be a warning"
] |
it is also revealed that the prophecy was only supposed to be a warning
|
it is also revealed that the prophecy was only supposed to be a warning.
|
it is also revealed that the prophesy was only supposed to be a warning. it is also revealed that the prophecy was only supposed to be a warning. it is also revealed that the prophesy was only supposed to be a warning. it is also revealed that the prophecy was only supposed to be a warning.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also revealed that the prophecy was only supposed to be a warning', 'it is also revealed that the prophesy was only supposed to be a warning', 'it is also revealed that the prophecy was only supposed to be a warning', 'it is also revealed that the prophesy was only supposed to be a warning', 'it is also revealed that the prophecy was only supposed to be a warning']
|
|
[
"either large and black",
"either large and black",
"i the large and black",
"either large and black",
"i the large and black"
] |
eyes are large and black
|
either large and black.
|
either large and black. i the large and black. either large and black. i the large and black.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['either large and black', 'either large and black', 'i the large and black', 'either large and black', 'i the large and black']
|
|
[
"the painter mary cassett was his sister",
"the painter mary cassette was his sister",
"the painter mary caster was his sister",
"the painter mary castle was his sister",
"the painter mary cassard was his sister"
] |
the painter mary cassatt was his sister
|
the painter mary cassett was his sister.
|
the painter mary cassette was his sister. the painter mary caster was his sister. the painter mary castle was his sister. the painter mary cassard was his sister.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the painter mary cassett was his sister', 'the painter mary cassette was his sister', 'the painter mary caster was his sister', 'the painter mary castle was his sister', 'the painter mary cassard was his sister']
|
|
[
"he works successfully as a head teacher and head of the physics group",
"you work successfully as a head teacher and head of the physics group",
"he works as possibly as a head teacher and head of the physics group",
"he works as specifically as a head teacher and head of the physics group",
"he works successfully as a head teacher in the head of the physics group"
] |
he worked successively as head teacher and head of the physics group
|
he works successfully as a head teacher and head of the physics group.
|
you work successfully as a head teacher and head of the physics group. he works as possibly as a head teacher and head of the physics group. he works as specifically as a head teacher and head of the physics group. he works successfully as a head teacher in the head of the physics group.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he works successfully as a head teacher and head of the physics group', 'you work successfully as a head teacher and head of the physics group', 'he works as possibly as a head teacher and head of the physics group', 'he works as specifically as a head teacher and head of the physics group', 'he works successfully as a head teacher in the head of the physics group']
|
|
[
"his readings of his poems have appeared on the pacifica radio is democracy now",
"his readings of his poems have appeared on the pacifica radio is democracy now",
"his readings of his poems have appeared on the pacifica radio is democracy now",
"his readings of his poems have appeared on the pacifica radio is democracy now",
"his readings of his poems have appeared on the pacifica radio is democracy now"
] |
his readings of his poems have appeared on pacifica radio s democracy now
|
his readings of his poems have appeared on the pacifica radio is democracy now.
|
his readings of his poems have appeared on the pacifica radio is democracy now. his readings of his poems have appeared on the pacifica radio is democracy now. his readings of his poems have appeared on the pacifica radio is democracy now. his readings of his poems have appeared on the pacifica radio is democracy now.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his readings of his poems have appeared on the pacifica radio is democracy now', 'his readings of his poems have appeared on the pacifica radio is democracy now', 'his readings of his poems have appeared on the pacifica radio is democracy now', 'his readings of his poems have appeared on the pacifica radio is democracy now', 'his readings of his poems have appeared on the pacifica radio is democracy now']
|
|
[
"a sharp thousands shook him from base to apex",
"a sharp thousand shook him from base to apex",
"assar thousands shook him from base to apex",
"a shard thousands shook him from base to apex",
"a shard thousands shook him from base to apex"
] |
a sharp spasm shook him from base to apex
|
a sharp thousands shook him from base to apex.
|
a sharp thousand shook him from base to apex. assar thousands shook him from base to apex. a shard thousands shook him from base to apex. a shard thousands shook him from base to apex.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a sharp thousands shook him from base to apex', 'a sharp thousand shook him from base to apex', 'assar thousands shook him from base to apex', 'a shard thousands shook him from base to apex', 'a shard thousands shook him from base to apex']
|
|
[
"the following year he was promoted to the network on a full time basis",
"the following year he was promoted to the network on a full time basis",
"the following year he was promoted to the network on the full time basis",
"the following year he was promoted to the network on the full time basis",
"following me he was promoted to the network on a full time basis"
] |
the following year he was promoted to the network on a full time basis
|
the following year he was promoted to the network on a full time basis.
|
the following year he was promoted to the network on a full time basis. the following year he was promoted to the network on the full time basis. the following year he was promoted to the network on the full time basis. following me he was promoted to the network on a full time basis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following year he was promoted to the network on a full time basis', 'the following year he was promoted to the network on a full time basis', 'the following year he was promoted to the network on the full time basis', 'the following year he was promoted to the network on the full time basis', 'following me he was promoted to the network on a full time basis']
|
|
[
"his other acting credits include episodes of are you being served",
"his other acting credits include episodes of are you being saved",
"his other acting credits include episodes of are you being served",
"his other acting credits include episodes of are you being served",
"his other acting credits include episodes of are you being sound"
] |
his other acting credits include episodes of are you being served
|
his other acting credits include episodes of are you being served.
|
his other acting credits include episodes of are you being saved. his other acting credits include episodes of are you being served. his other acting credits include episodes of are you being served. his other acting credits include episodes of are you being sound.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his other acting credits include episodes of are you being served', 'his other acting credits include episodes of are you being saved', 'his other acting credits include episodes of are you being served', 'his other acting credits include episodes of are you being served', 'his other acting credits include episodes of are you being sound']
|
|
[
"crocly breadbikens should not be happy stand off ish notice or aggressive",
"crockly breadbikens should not be happy stand off ish notice or aggressive",
"crockly breadbikens should not be happy standoffish notice or aggressive",
"crocly breadbikens should not be happy standoffish notice or aggressive",
"crockly breadbikens should not be happy standoffish notice or aggressive"
] |
properly bred bichons should not be yappy stand offish nervous or aggressive
|
crocly breadbikens should not be happy stand off ish notice or aggressive.
|
crockly breadbikens should not be happy stand off ish notice or aggressive. crockly breadbikens should not be happy standoffish notice or aggressive. crocly breadbikens should not be happy standoffish notice or aggressive. crockly breadbikens should not be happy standoffish notice or aggressive.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['crocly breadbikens should not be happy stand off ish notice or aggressive', 'crockly breadbikens should not be happy stand off ish notice or aggressive', 'crockly breadbikens should not be happy standoffish notice or aggressive', 'crocly breadbikens should not be happy standoffish notice or aggressive', 'crockly breadbikens should not be happy standoffish notice or aggressive']
|
|
[
"two rodeo cleanse are on the dirt",
"two rodeo crayons are on the dirt",
"two rodeo clams are on the dirt",
"two rodeo clearance are on the dirt",
"two rodeo cleans are on the dirt"
] |
two rodeo clowns are on the dirt
|
two rodeo cleanse are on the dirt.
|
two rodeo crayons are on the dirt. two rodeo clams are on the dirt. two rodeo clearance are on the dirt. two rodeo cleans are on the dirt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two rodeo cleanse are on the dirt', 'two rodeo crayons are on the dirt', 'two rodeo clams are on the dirt', 'two rodeo clearance are on the dirt', 'two rodeo cleans are on the dirt']
|
|
[
"they are no part of the case",
"there are no part of the case",
"there are no parts of the case",
"they are not part of the case",
"they are no part of the case"
] |
they are no part of the case
|
they are no part of the case.
|
there are no part of the case. there are no parts of the case. they are not part of the case. they are no part of the case.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they are no part of the case', 'there are no part of the case', 'there are no parts of the case', 'they are not part of the case', 'they are no part of the case']
|
|
[
"this often results in brushing and bumping of other riders",
"this often results in brushing and bumping of other riders",
"this often results in brushing and bumping of the other riders",
"this often results in brushing and bumping of the other riders",
"this often results in brushing and bumping of other riders"
] |
this often results in brushing and bumping off other riders
|
this often results in brushing and bumping of other riders.
|
this often results in brushing and bumping of other riders. this often results in brushing and bumping of the other riders. this often results in brushing and bumping of the other riders. this often results in brushing and bumping of other riders.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this often results in brushing and bumping of other riders', 'this often results in brushing and bumping of other riders', 'this often results in brushing and bumping of the other riders', 'this often results in brushing and bumping of the other riders', 'this often results in brushing and bumping of other riders']
|
|
[
"it is a subsidiary of google",
"it is a subsidiary of goldal",
"it is a subsidiary of goral",
"it is a subsidiary of gordel",
"it is a subsidiary of godel"
] |
it is a subsidiary of corel
|
it is a subsidiary of google.
|
it is a subsidiary of goldal. it is a subsidiary of goral. it is a subsidiary of gordel. it is a subsidiary of godel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a subsidiary of google', 'it is a subsidiary of goldal', 'it is a subsidiary of goral', 'it is a subsidiary of gordel', 'it is a subsidiary of godel']
|
|
[
"around that time s phone had two million subscribers in vietnam",
"around that time sfourn had two million subscribers in vietnam",
"around that time sphone had two million subscribers in vietnam",
"around that time sphone had two million subscribers in vietnam",
"around that time sphone had two million subscribers in vietnam"
] |
around that time s fone had two million subscribers in vietnam
|
around that time s phone had two million subscribers in vietnam.
|
around that time sfourn had two million subscribers in vietnam. around that time sphone had two million subscribers in vietnam. around that time sphone had two million subscribers in vietnam. around that time sphone had two million subscribers in vietnam.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['around that time s phone had two million subscribers in vietnam', 'around that time sfourn had two million subscribers in vietnam', 'around that time sphone had two million subscribers in vietnam', 'around that time sphone had two million subscribers in vietnam', 'around that time sphone had two million subscribers in vietnam']
|
|
[
"then the kingdom of new yorker was definitively incorporated into the crown of aragon",
"then the kingdom of new yorker was definitively incorporated into the crown of aragon",
"then the kingdom of new yorker was definitively incorporated into the crown of alagon",
"then the kingdom of new yorker was definitively incorporated into the crown of aragon",
"then the kingdom of new yorker was definitively incorporated into the crown of alagon"
] |
then the kingdom of majorca was definitively incorporated into the crown of aragon
|
then the kingdom of new yorker was definitively incorporated into the crown of aragon.
|
then the kingdom of new yorker was definitively incorporated into the crown of aragon. then the kingdom of new yorker was definitively incorporated into the crown of alagon. then the kingdom of new yorker was definitively incorporated into the crown of aragon. then the kingdom of new yorker was definitively incorporated into the crown of alagon.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then the kingdom of new yorker was definitively incorporated into the crown of aragon', 'then the kingdom of new yorker was definitively incorporated into the crown of aragon', 'then the kingdom of new yorker was definitively incorporated into the crown of alagon', 'then the kingdom of new yorker was definitively incorporated into the crown of aragon', 'then the kingdom of new yorker was definitively incorporated into the crown of alagon']
|
|
[
"the main industries in senekka are cattle ranching and timber production",
"the main industries in seneca are cattle ranching and timber production",
"the main industries in seneka are cattle ranching and timber production",
"the main industries in senekar are cattle ranching and timber production",
"the main industries in senekha are cattle ranching and timber production"
] |
the main industries in seneca are cattle ranching and timber production
|
the main industries in senekka are cattle ranching and timber production.
|
the main industries in seneca are cattle ranching and timber production. the main industries in seneka are cattle ranching and timber production. the main industries in senekar are cattle ranching and timber production. the main industries in senekha are cattle ranching and timber production.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main industries in senekka are cattle ranching and timber production', 'the main industries in seneca are cattle ranching and timber production', 'the main industries in seneka are cattle ranching and timber production', 'the main industries in senekar are cattle ranching and timber production', 'the main industries in senekha are cattle ranching and timber production']
|
|
[
"siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony",
"siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony",
"siguendo was traditionally a second voice singer providing a bad ceo counterpoint harmony",
"siguendo was traditionally a second voice singer providing a bad deal counterpoint harmony",
"sigwendo was traditionally a second voice singer providing a bad t o counterpoint harmony"
] |
segundo was traditionally a second voice singer providing a baritone counterpoint harmony
|
siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony.
|
siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony. siguendo was traditionally a second voice singer providing a bad ceo counterpoint harmony. siguendo was traditionally a second voice singer providing a bad deal counterpoint harmony. sigwendo was traditionally a second voice singer providing a bad t o counterpoint harmony.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony', 'siguendo was traditionally a second voice singer providing a bad t o counterpoint harmony', 'siguendo was traditionally a second voice singer providing a bad ceo counterpoint harmony', 'siguendo was traditionally a second voice singer providing a bad deal counterpoint harmony', 'sigwendo was traditionally a second voice singer providing a bad t o counterpoint harmony']
|
|
[
"also if the program resides in protected memory or writing of instructions may be prevented",
"also if the program resides in protective memory or writing of instructions may be prevented",
"also if the program resides in product and memory overwriting of instructions may be prevented",
"also if the program resides in product and memory all writing of instructions may be prevented",
"also if the program resides in protect and memory overwriting of instructions may be prevented"
] |
also if the program resides in protected memory overwriting of instructions may be prevented
|
also if the program resides in protected memory or writing of instructions may be prevented.
|
also if the program resides in protective memory or writing of instructions may be prevented. also if the program resides in product and memory overwriting of instructions may be prevented. also if the program resides in product and memory all writing of instructions may be prevented. also if the program resides in protect and memory overwriting of instructions may be prevented.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also if the program resides in protected memory or writing of instructions may be prevented', 'also if the program resides in protective memory or writing of instructions may be prevented', 'also if the program resides in product and memory overwriting of instructions may be prevented', 'also if the program resides in product and memory all writing of instructions may be prevented', 'also if the program resides in protect and memory overwriting of instructions may be prevented']
|
|
[
"the areas known to have wind is high as on a sunny day",
"the areas learned to have wind is high as on a sunny day",
"the areas learning to have wind is high as on a sunny day",
"the areas learned to have wind as high as on a sunny day",
"the areas known to have wind is high as on the sunny day"
] |
the area is known to have wind as high as on a sunny day
|
the areas known to have wind is high as on a sunny day.
|
the areas learned to have wind is high as on a sunny day. the areas learning to have wind is high as on a sunny day. the areas learned to have wind as high as on a sunny day. the areas known to have wind is high as on the sunny day.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the areas known to have wind is high as on a sunny day', 'the areas learned to have wind is high as on a sunny day', 'the areas learning to have wind is high as on a sunny day', 'the areas learned to have wind as high as on a sunny day', 'the areas known to have wind is high as on the sunny day']
|
|
[
"he also contributed on the fence by playing tight end",
"he also contributes on the fence by playing tight end",
"he also contributed on the fence by playing tide end",
"he also contributed on the fence by playing tight end",
"he also contributed on the fence by playing side end"
] |
he also contributed on offense by playing tight end
|
he also contributed on the fence by playing tight end.
|
he also contributes on the fence by playing tight end. he also contributed on the fence by playing tide end. he also contributed on the fence by playing tight end. he also contributed on the fence by playing side end.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also contributed on the fence by playing tight end', 'he also contributes on the fence by playing tight end', 'he also contributed on the fence by playing tide end', 'he also contributed on the fence by playing tight end', 'he also contributed on the fence by playing side end']
|
|
[
"the capital of the sybotas of the cana fates was forum handerale the modern vulberg",
"the capital of the sivitas of the cana fates was forum handerale the modern vulberg",
"the capital of the sivitas of the cana fets was forum handerale the modern vulberg",
"the capital of the sybotas of the cana fates was forum handerani modern vulberg",
"the capital of the sivitas of the cana fates was forum handerani modern vulberg"
] |
the capital of the civitas of the cananefates was forum hadriani modern voorburg
|
the capital of the sybotas of the cana fates was forum handerale the modern vulberg.
|
the capital of the sivitas of the cana fates was forum handerale the modern vulberg. the capital of the sivitas of the cana fets was forum handerale the modern vulberg. the capital of the sybotas of the cana fates was forum handerani modern vulberg. the capital of the sivitas of the cana fates was forum handerani modern vulberg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the capital of the sybotas of the cana fates was forum handerale the modern vulberg', 'the capital of the sivitas of the cana fates was forum handerale the modern vulberg', 'the capital of the sivitas of the cana fets was forum handerale the modern vulberg', 'the capital of the sybotas of the cana fates was forum handerani modern vulberg', 'the capital of the sivitas of the cana fates was forum handerani modern vulberg']
|
|
[
"he commands so be it",
"he commends so be it",
"he commands so be it",
"he commands so be it",
"he commends so be it"
] |
he comments so be it
|
he commands so be it.
|
he commends so be it. he commands so be it. he commands so be it. he commends so be it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he commands so be it', 'he commends so be it', 'he commands so be it', 'he commands so be it', 'he commends so be it']
|
|
[
"the background shows the tag the ring of palm trees",
"the background shows the tag the ring of arms please",
"the background shows the tag the ring of entries",
"the background shows the tag the ring of amperees",
"the background shows the tag the ring of honkies"
] |
the background shows the track and a ring of palm trees
|
the background shows the tag the ring of palm trees.
|
the background shows the tag the ring of arms please. the background shows the tag the ring of entries. the background shows the tag the ring of amperees. the background shows the tag the ring of honkies.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the background shows the tag the ring of palm trees', 'the background shows the tag the ring of arms please', 'the background shows the tag the ring of entries', 'the background shows the tag the ring of amperees', 'the background shows the tag the ring of honkies']
|
|
[
"development was sporadic with only certain sections following the original fueling",
"development was sporadic with only certain sections following the original fueling",
"development was sporadic with only certain sections following the original fueling",
"development was sporadic with only certain sections following the original fueling",
"development was sporadic with only certain sections following the original fueling"
] |
development was sporadic with only certain sections following the original feuing
|
development was sporadic with only certain sections following the original fueling.
|
development was sporadic with only certain sections following the original fueling. development was sporadic with only certain sections following the original fueling. development was sporadic with only certain sections following the original fueling. development was sporadic with only certain sections following the original fueling.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['development was sporadic with only certain sections following the original fueling', 'development was sporadic with only certain sections following the original fueling', 'development was sporadic with only certain sections following the original fueling', 'development was sporadic with only certain sections following the original fueling', 'development was sporadic with only certain sections following the original fueling']
|
|
[
"a bonus is awarded if all balloons are pumped before the music happens",
"a bonus is awarded if all blends are pumped before the music happens",
"a bonus is awarded if all blends are pumped before the musical happens",
"a bonus is awarded if all balloons are pumped before the musical happens",
"a bonus is awarded if all blends are pumped before the musicals"
] |
a bonus is awarded if all the balloons are popped before the music ends
|
a bonus is awarded if all balloons are pumped before the music happens.
|
a bonus is awarded if all blends are pumped before the music happens. a bonus is awarded if all blends are pumped before the musical happens. a bonus is awarded if all balloons are pumped before the musical happens. a bonus is awarded if all blends are pumped before the musicals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a bonus is awarded if all balloons are pumped before the music happens', 'a bonus is awarded if all blends are pumped before the music happens', 'a bonus is awarded if all blends are pumped before the musical happens', 'a bonus is awarded if all balloons are pumped before the musical happens', 'a bonus is awarded if all blends are pumped before the musicals']
|
|
[
"i e petrov",
"i e petroff",
"i e petrof",
"i e petrof",
"i e petrof"
] |
i e petrov
|
i e petrov.
|
i e petroff. i e petrof. i e petrof. i e petrof.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i e petrov', 'i e petroff', 'i e petrof', 'i e petrof', 'i e petrof']
|
|
[
"the wings and tail are black and the bill yellow white",
"the wings and tail are black and the bill yellow white",
"the wings and tail are black and the bill yellow one",
"the wings and tail are black and the bill yellow white",
"the wings and tail are black and the bill yellow one"
] |
the wings and tail are black and the bill yellow white
|
the wings and tail are black and the bill yellow white.
|
the wings and tail are black and the bill yellow white. the wings and tail are black and the bill yellow one. the wings and tail are black and the bill yellow white. the wings and tail are black and the bill yellow one.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the wings and tail are black and the bill yellow white', 'the wings and tail are black and the bill yellow white', 'the wings and tail are black and the bill yellow one', 'the wings and tail are black and the bill yellow white', 'the wings and tail are black and the bill yellow one']
|
|
[
"nevertheless peshwa balaji bajirao retained him as the titular chhatrapaji",
"nevertheless peshwa balaji bhaji rao retained him as the titular chhatrapaji",
"nevertheless peshwa balaji baji rao retained him as the titular chhatrapaji",
"nevertheless peshwa balaji bhajirao retained him as the titular chhatrapaji",
"nevertheless peshwa balaji baaji rao retained him as the titular chhatrapaji"
] |
nevertheless peshwa balaji baji rao retained him as the titular chhatrapati
|
nevertheless peshwa balaji bajirao retained him as the titular chhatrapaji.
|
nevertheless peshwa balaji bhaji rao retained him as the titular chhatrapaji. nevertheless peshwa balaji baji rao retained him as the titular chhatrapaji. nevertheless peshwa balaji bhajirao retained him as the titular chhatrapaji. nevertheless peshwa balaji baaji rao retained him as the titular chhatrapaji.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nevertheless peshwa balaji bajirao retained him as the titular chhatrapaji', 'nevertheless peshwa balaji bhaji rao retained him as the titular chhatrapaji', 'nevertheless peshwa balaji baji rao retained him as the titular chhatrapaji', 'nevertheless peshwa balaji bhajirao retained him as the titular chhatrapaji', 'nevertheless peshwa balaji baaji rao retained him as the titular chhatrapaji']
|
|
[
"shuttle sun is the only place in the inuited kingdom where life expectancy is falling",
"shuttle sun is the only place in the inuted kingdom where life expectancy is falling",
"shuttle sun is the only place in the inverted kingdom where life expectancy is falling",
"shirtel sun is the only place in the inuited kingdom where life expectancy is falling",
"shuttle stun is the only place in the inuited kingdom where life expectancy is falling"
] |
shettleston is the only place in the united kingdom where life expectancy is falling
|
shuttle sun is the only place in the inuited kingdom where life expectancy is falling.
|
shuttle sun is the only place in the inuted kingdom where life expectancy is falling. shuttle sun is the only place in the inverted kingdom where life expectancy is falling. shirtel sun is the only place in the inuited kingdom where life expectancy is falling. shuttle stun is the only place in the inuited kingdom where life expectancy is falling.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shuttle sun is the only place in the inuited kingdom where life expectancy is falling', 'shuttle sun is the only place in the inuted kingdom where life expectancy is falling', 'shuttle sun is the only place in the inverted kingdom where life expectancy is falling', 'shirtel sun is the only place in the inuited kingdom where life expectancy is falling', 'shuttle stun is the only place in the inuited kingdom where life expectancy is falling']
|
|
[
"the shallow water is sequenced by crocodiles and hippopotamuses",
"the shallow water is frequenced by crocodiles and hippopotamuses",
"the shallow water is frequenced by crocodiles and hippopotamus",
"the shallow water is sequenced by crocodiles and hippopotamus",
"the shallow water is balanced by crocodiles and hippopotamuses"
] |
the shallow water is frequented by crocodiles and hippopotamuses
|
the shallow water is sequenced by crocodiles and hippopotamuses.
|
the shallow water is frequenced by crocodiles and hippopotamuses. the shallow water is frequenced by crocodiles and hippopotamus. the shallow water is sequenced by crocodiles and hippopotamus. the shallow water is balanced by crocodiles and hippopotamuses.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the shallow water is sequenced by crocodiles and hippopotamuses', 'the shallow water is frequenced by crocodiles and hippopotamuses', 'the shallow water is frequenced by crocodiles and hippopotamus', 'the shallow water is sequenced by crocodiles and hippopotamus', 'the shallow water is balanced by crocodiles and hippopotamuses']
|
|
[
"there are conservatives announced plans to move an amendment to a speech",
"there are conservatives announce plans to move an amendment to a speech",
"there are conservatives announced plans to move an amendment to speak",
"there are conservatives announced plans to move in amendment to speech",
"the conservatives announced plans to move an amendment to a speech"
] |
the conservatives announced plans to move an amendment to the speech
|
there are conservatives announced plans to move an amendment to a speech.
|
there are conservatives announce plans to move an amendment to a speech. there are conservatives announced plans to move an amendment to speak. there are conservatives announced plans to move in amendment to speech. the conservatives announced plans to move an amendment to a speech.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are conservatives announced plans to move an amendment to a speech', 'there are conservatives announce plans to move an amendment to a speech', 'there are conservatives announced plans to move an amendment to speak', 'there are conservatives announced plans to move in amendment to speech', 'the conservatives announced plans to move an amendment to a speech']
|
|
[
"visitors may have a special place reserved depending on their rank and station",
"visitors may have a special placed reserved depending on their rank and station",
"visitors may have a special place reserved depending on their rank and station",
"visitors may have a special placed reserved depending on their rank and station",
"visitors may have a special placed reserved depending on their rank and station"
] |
visitors may have a special place reserved depending on their rank and station
|
visitors may have a special place reserved depending on their rank and station.
|
visitors may have a special placed reserved depending on their rank and station. visitors may have a special place reserved depending on their rank and station. visitors may have a special placed reserved depending on their rank and station. visitors may have a special placed reserved depending on their rank and station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['visitors may have a special place reserved depending on their rank and station', 'visitors may have a special placed reserved depending on their rank and station', 'visitors may have a special place reserved depending on their rank and station', 'visitors may have a special placed reserved depending on their rank and station', 'visitors may have a special placed reserved depending on their rank and station']
|
|
[
"anthony firmed to patrick is queen of egypt cyprus liberia and central syria",
"anthony firmed to patrick is queen of egypt cyprus libreah and central syria",
"anthony firmed to patrick is queen of egypt cyprus libya and central syria",
"anthony firmed to patrick is queen of egypt cyprus libya and central syria",
"anthony filmed to patrick is queen of egypt cyprus liberia and central syria"
] |
antony affirmed cleopatra as queen of egypt cyprus libya and central syria
|
anthony firmed to patrick is queen of egypt cyprus liberia and central syria.
|
anthony firmed to patrick is queen of egypt cyprus libreah and central syria. anthony firmed to patrick is queen of egypt cyprus libya and central syria. anthony firmed to patrick is queen of egypt cyprus libya and central syria. anthony filmed to patrick is queen of egypt cyprus liberia and central syria.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['anthony firmed to patrick is queen of egypt cyprus liberia and central syria', 'anthony firmed to patrick is queen of egypt cyprus libreah and central syria', 'anthony firmed to patrick is queen of egypt cyprus libya and central syria', 'anthony firmed to patrick is queen of egypt cyprus libya and central syria', 'anthony filmed to patrick is queen of egypt cyprus liberia and central syria']
|
|
[
"another guy on the subgroup are the tatsunga people of tanzania",
"another girl in subgroup are the tatsunga people of tanzania",
"another girl in subgroup are the ta junga people of tanzania",
"another guy on the subgroup are the ta junga people of tanzania",
"another chaotic subgroup are the tatsunga people of tanzania"
] |
another kalenjin sub group are the tatonga people of tanzania
|
another guy on the subgroup are the tatsunga people of tanzania.
|
another girl in subgroup are the tatsunga people of tanzania. another girl in subgroup are the ta junga people of tanzania. another guy on the subgroup are the ta junga people of tanzania. another chaotic subgroup are the tatsunga people of tanzania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another guy on the subgroup are the tatsunga people of tanzania', 'another girl in subgroup are the tatsunga people of tanzania', 'another girl in subgroup are the ta junga people of tanzania', 'another guy on the subgroup are the ta junga people of tanzania', 'another chaotic subgroup are the tatsunga people of tanzania']
|
|
[
"boud worked primarily on plant genetics",
"bout worked primarily on plant genetics",
"bound worked primarily on plant genetics",
"bout worked primarily on plant genetics",
"bout worked primarily on plant genetics"
] |
baur worked primarily on plant genetics
|
boud worked primarily on plant genetics.
|
bout worked primarily on plant genetics. bound worked primarily on plant genetics. bout worked primarily on plant genetics. bout worked primarily on plant genetics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['boud worked primarily on plant genetics', 'bout worked primarily on plant genetics', 'bound worked primarily on plant genetics', 'bout worked primarily on plant genetics', 'bout worked primarily on plant genetics']
|
|
[
"staining differentiates tissues by tinting them in contrasting colors",
"staining differentiates tissues by tinting them in contrasting colors",
"staining differentiates tissues by tinting them in contrast in colors",
"staining differentiates tissues by tinting them in contrast in colors",
"staining differentiates tissues by tinting them in contrasting colors"
] |
staining differentiates tissues by tinting them in contrasting colors
|
staining differentiates tissues by tinting them in contrasting colors.
|
staining differentiates tissues by tinting them in contrasting colors. staining differentiates tissues by tinting them in contrast in colors. staining differentiates tissues by tinting them in contrast in colors. staining differentiates tissues by tinting them in contrasting colors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['staining differentiates tissues by tinting them in contrasting colors', 'staining differentiates tissues by tinting them in contrasting colors', 'staining differentiates tissues by tinting them in contrast in colors', 'staining differentiates tissues by tinting them in contrast in colors', 'staining differentiates tissues by tinting them in contrasting colors']
|
|
[
"the distance is nothing when one has a moot of over three miles",
"the distance is nothing when one has a moot of ill with three miles",
"the distance is nothing when one has a moot of over three miles",
"the distance is nothing when one has a moot of ill with three miles",
"the distance is nothing when one has a moot of and with three miles"
] |
the distance is nothing when one has a motive only three miles
|
the distance is nothing when one has a moot of over three miles.
|
the distance is nothing when one has a moot of ill with three miles. the distance is nothing when one has a moot of over three miles. the distance is nothing when one has a moot of ill with three miles. the distance is nothing when one has a moot of and with three miles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the distance is nothing when one has a moot of over three miles', 'the distance is nothing when one has a moot of ill with three miles', 'the distance is nothing when one has a moot of over three miles', 'the distance is nothing when one has a moot of ill with three miles', 'the distance is nothing when one has a moot of and with three miles']
|
|
[
"i will tell you",
"i will tell you",
"i will tell you .",
"i will tell you .",
"i will tell you ."
] |
i will tell you
|
i will tell you.
|
i will tell you. i will tell you .. i will tell you .. i will tell you ..
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i will tell you', 'i will tell you', 'i will tell you .', 'i will tell you .', 'i will tell you .']
|
|
[
"the first letter addresses fellow women and the second is directed to switnam himself",
"the first letter addresses fellow women and the second is directed to switnam himself",
"the first letter addresses fellow women and the second is directed to swetanam himself",
"the first letter addresses fellow women and the second is directed to switnam himself",
"the first letter addresses fellow women and the second is directed to switnam himself"
] |
the first letter addresses fellow women and the second is directed to swetnam himself
|
the first letter addresses fellow women and the second is directed to switnam himself.
|
the first letter addresses fellow women and the second is directed to switnam himself. the first letter addresses fellow women and the second is directed to swetanam himself. the first letter addresses fellow women and the second is directed to switnam himself. the first letter addresses fellow women and the second is directed to switnam himself.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the first letter addresses fellow women and the second is directed to switnam himself', 'the first letter addresses fellow women and the second is directed to switnam himself', 'the first letter addresses fellow women and the second is directed to swetanam himself', 'the first letter addresses fellow women and the second is directed to switnam himself', 'the first letter addresses fellow women and the second is directed to switnam himself']
|
|
[
"philly kietario is strongly influenced by carbonarism and freemasonry",
"fili kietario is strongly influenced by carbonarism and freemasonry",
"fili ki etharia was strongly influenced by carbonarism and free mass owner",
"fili ki etharia was strongly influenced by carbonarism and free mess on it",
"fili ki etharia was strongly influenced by carbonarism and freemasona"
] |
filiki eteria was strongly influenced by carbonarism and freemasonry
|
philly kietario is strongly influenced by carbonarism and freemasonry.
|
fili kietario is strongly influenced by carbonarism and freemasonry. fili ki etharia was strongly influenced by carbonarism and free mass owner. fili ki etharia was strongly influenced by carbonarism and free mess on it. fili ki etharia was strongly influenced by carbonarism and freemasona.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['philly kietario is strongly influenced by carbonarism and freemasonry', 'fili kietario is strongly influenced by carbonarism and freemasonry', 'fili ki etharia was strongly influenced by carbonarism and free mass owner', 'fili ki etharia was strongly influenced by carbonarism and free mess on it', 'fili ki etharia was strongly influenced by carbonarism and freemasona']
|
|
[
"however some of them can be singular in one context and plural in another",
"however some of them can be singular in one context and plural in another",
"however some of them can be singular in one context and plural in another",
"however some of them can be singular in one context and plural in another",
"however some of them can be singular in one context and plural in another"
] |
however some of them can be singular in one context and plural in another
|
however some of them can be singular in one context and plural in another.
|
however some of them can be singular in one context and plural in another. however some of them can be singular in one context and plural in another. however some of them can be singular in one context and plural in another. however some of them can be singular in one context and plural in another.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however some of them can be singular in one context and plural in another', 'however some of them can be singular in one context and plural in another', 'however some of them can be singular in one context and plural in another', 'however some of them can be singular in one context and plural in another', 'however some of them can be singular in one context and plural in another']
|
|
[
"after overwatch at san francisco california case returned to pearl harbor in december",
"after overwatch at san francisco california case returned to pearl harbor in december",
"after overwatch at san francisco california case return to pearl harbor in december",
"after overwatch at san francisco california case returned to pearl harbor in december",
"after overhaul at san francisco california case returned to pearl harbor in december"
] |
after overhaul at san francisco california case returned to pearl harbor in december
|
after overwatch at san francisco california case returned to pearl harbor in december.
|
after overwatch at san francisco california case returned to pearl harbor in december. after overwatch at san francisco california case return to pearl harbor in december. after overwatch at san francisco california case returned to pearl harbor in december. after overhaul at san francisco california case returned to pearl harbor in december.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after overwatch at san francisco california case returned to pearl harbor in december', 'after overwatch at san francisco california case returned to pearl harbor in december', 'after overwatch at san francisco california case return to pearl harbor in december', 'after overwatch at san francisco california case returned to pearl harbor in december', 'after overhaul at san francisco california case returned to pearl harbor in december']
|
|
[
"it is not trivial to distinguish traditional from modern martial arts",
"it is not trivial to distinguish traditionals from modern martial arts",
"it is not trivial to distinguish traditional from modern martial arts",
"it is not trivial to distinguish traditional from modern martial arts",
"it is not trivial to distinguish traditionals from modern martial arts"
] |
it is not trivial to distinguish traditional from modern martial arts
|
it is not trivial to distinguish traditional from modern martial arts.
|
it is not trivial to distinguish traditionals from modern martial arts. it is not trivial to distinguish traditional from modern martial arts. it is not trivial to distinguish traditional from modern martial arts. it is not trivial to distinguish traditionals from modern martial arts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is not trivial to distinguish traditional from modern martial arts', 'it is not trivial to distinguish traditionals from modern martial arts', 'it is not trivial to distinguish traditional from modern martial arts', 'it is not trivial to distinguish traditional from modern martial arts', 'it is not trivial to distinguish traditionals from modern martial arts']
|
|
[
"it has been argued that google is influences can be traced to western sources",
"it has been argued that google is influences can be traced to western sources",
"it has been argued that google is influences can be traced to western sources",
"it has been argued that google is influences can be traced to western sources",
"it has been argued that google is influences can be traced to western sources"
] |
it has been argued that gogol is influences can be traced to western sources
|
it has been argued that google is influences can be traced to western sources.
|
it has been argued that google is influences can be traced to western sources. it has been argued that google is influences can be traced to western sources. it has been argued that google is influences can be traced to western sources. it has been argued that google is influences can be traced to western sources.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has been argued that google is influences can be traced to western sources', 'it has been argued that google is influences can be traced to western sources', 'it has been argued that google is influences can be traced to western sources', 'it has been argued that google is influences can be traced to western sources', 'it has been argued that google is influences can be traced to western sources']
|
|
[
"he was taught by the famous diday f and r d",
"he was taught by the famous d day f and r d",
"he was taught by the famous d day f n r d",
"he was taught by the famous d a f and r d",
"he was taught by the famous diday f rd"
] |
he was taught by the famous dede efendi
|
he was taught by the famous diday f and r d.
|
he was taught by the famous d day f and r d. he was taught by the famous d day f n r d. he was taught by the famous d a f and r d. he was taught by the famous diday f rd.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was taught by the famous diday f and r d', 'he was taught by the famous d day f and r d', 'he was taught by the famous d day f n r d', 'he was taught by the famous d a f and r d', 'he was taught by the famous diday f rd']
|
|
[
"the album was recorded in the quality of the music history of stockholm",
"the album was recorded in the whole of music history of stockholm",
"the album was recorded in the quality music history of stockholm",
"the album was recorded in the quality of music history of stockholm",
"the album was recorded in the quality of music history of stockholm"
] |
the album was recorded in the polar music studios in stockholm
|
the album was recorded in the quality of the music history of stockholm.
|
the album was recorded in the whole of music history of stockholm. the album was recorded in the quality music history of stockholm. the album was recorded in the quality of music history of stockholm. the album was recorded in the quality of music history of stockholm.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the album was recorded in the quality of the music history of stockholm', 'the album was recorded in the whole of music history of stockholm', 'the album was recorded in the quality music history of stockholm', 'the album was recorded in the quality of music history of stockholm', 'the album was recorded in the quality of music history of stockholm']
|
|
[
"radio so true for two such downs in an interception",
"radio so true for two such downs and an interception",
"radio so true for two such downs in an interception",
"radio so true for two such nouns and an interception",
"radio so true for two such downs and an interception"
] |
brady also threw for two touchdowns and an interception
|
radio so true for two such downs in an interception.
|
radio so true for two such downs and an interception. radio so true for two such downs in an interception. radio so true for two such nouns and an interception. radio so true for two such downs and an interception.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['radio so true for two such downs in an interception', 'radio so true for two such downs and an interception', 'radio so true for two such downs in an interception', 'radio so true for two such nouns and an interception', 'radio so true for two such downs and an interception']
|
|
[
"a green roof cover was constructed covering the whole street dubbed the green dragon",
"a green roof cover was constructed covering the whole street dubbed the green dragon",
"a green roof cover was constructed covering the whole street dubbed the green dragon",
"a green roof cover was constructed covering the whole street dubbed the green dragon",
"a green roof cover was constructed covering the whole street dubbed the green dragon"
] |
a green roof cover was constructed covering the whole street dubbed the green dragon
|
a green roof cover was constructed covering the whole street dubbed the green dragon.
|
a green roof cover was constructed covering the whole street dubbed the green dragon. a green roof cover was constructed covering the whole street dubbed the green dragon. a green roof cover was constructed covering the whole street dubbed the green dragon. a green roof cover was constructed covering the whole street dubbed the green dragon.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a green roof cover was constructed covering the whole street dubbed the green dragon', 'a green roof cover was constructed covering the whole street dubbed the green dragon', 'a green roof cover was constructed covering the whole street dubbed the green dragon', 'a green roof cover was constructed covering the whole street dubbed the green dragon', 'a green roof cover was constructed covering the whole street dubbed the green dragon']
|
|
[
"perhaps we can find him for you",
"perhaps we can find him for you",
"perhaps we can find him for you",
"perhaps we can find him for you",
"perhaps we can find him for you"
] |
perhaps we can find him for you
|
perhaps we can find him for you.
|
perhaps we can find him for you. perhaps we can find him for you. perhaps we can find him for you. perhaps we can find him for you.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['perhaps we can find him for you', 'perhaps we can find him for you', 'perhaps we can find him for you', 'perhaps we can find him for you', 'perhaps we can find him for you']
|
|
[
"complexity is generally specified using big own notation",
"complexity is generally specified using big own notation",
"complexity is generally specified using big o notation",
"complexity is generally specified using big o notation",
"complexity is generally specified using big o notation"
] |
algorithmic complexity is generally specified using big o notation
|
complexity is generally specified using big own notation.
|
complexity is generally specified using big own notation. complexity is generally specified using big o notation. complexity is generally specified using big o notation. complexity is generally specified using big o notation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['complexity is generally specified using big own notation', 'complexity is generally specified using big own notation', 'complexity is generally specified using big o notation', 'complexity is generally specified using big o notation', 'complexity is generally specified using big o notation']
|
|
[
"he occasionally traveled as super cargo to the mediterranean or the barbie coast",
"he occasionally traveled as super cargo to the mediterranean or the barbie coast",
"he occasionally traveled as super cargo to the mediterranean or the barbie coast",
"he occasionally traveled as super cargo to the mediterranean all above the coast",
"he occasionally traveled as super cargo to the mediterranean or the barbie coast"
] |
he occasionally traveled as supercargo to the mediterranean or the barbary coast
|
he occasionally traveled as super cargo to the mediterranean or the barbie coast.
|
he occasionally traveled as super cargo to the mediterranean or the barbie coast. he occasionally traveled as super cargo to the mediterranean or the barbie coast. he occasionally traveled as super cargo to the mediterranean all above the coast. he occasionally traveled as super cargo to the mediterranean or the barbie coast.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he occasionally traveled as super cargo to the mediterranean or the barbie coast', 'he occasionally traveled as super cargo to the mediterranean or the barbie coast', 'he occasionally traveled as super cargo to the mediterranean or the barbie coast', 'he occasionally traveled as super cargo to the mediterranean all above the coast', 'he occasionally traveled as super cargo to the mediterranean or the barbie coast']
|
|
[
"coco picked the name after seeing the tiny orange makes for the first time",
"coco picked the name after seeing the tiny orange manks for the first time",
"coco picked the name after seeing the tiny orange minks for the first time",
"coco picked the name after seeing the tiny orange mix for the first time",
"coco picked the name after seeing the tiny orange make is for the first time"
] |
koko picked the name after seeing the tiny orange manx for the first time
|
coco picked the name after seeing the tiny orange makes for the first time.
|
coco picked the name after seeing the tiny orange manks for the first time. coco picked the name after seeing the tiny orange minks for the first time. coco picked the name after seeing the tiny orange mix for the first time. coco picked the name after seeing the tiny orange make is for the first time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['coco picked the name after seeing the tiny orange makes for the first time', 'coco picked the name after seeing the tiny orange manks for the first time', 'coco picked the name after seeing the tiny orange minks for the first time', 'coco picked the name after seeing the tiny orange mix for the first time', 'coco picked the name after seeing the tiny orange make is for the first time']
|
|
[
"this approach has also been used in document summarization considered below",
"this approach has also been used in document summarization considered below",
"this approach has also been used in document summarization considered below",
"this approach has also been used in document summarization considered below",
"this approach has also been used in document summarization considered below"
] |
this approach has also been used in document summarization considered below
|
this approach has also been used in document summarization considered below.
|
this approach has also been used in document summarization considered below. this approach has also been used in document summarization considered below. this approach has also been used in document summarization considered below. this approach has also been used in document summarization considered below.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this approach has also been used in document summarization considered below', 'this approach has also been used in document summarization considered below', 'this approach has also been used in document summarization considered below', 'this approach has also been used in document summarization considered below', 'this approach has also been used in document summarization considered below']
|
|
[
"five species are recognized",
"five species are recognized",
"five species are recognized",
"five species are recognized",
"fives pcs are recognized"
] |
five species are recognized
|
five species are recognized.
|
five species are recognized. five species are recognized. five species are recognized. fives pcs are recognized.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['five species are recognized', 'five species are recognized', 'five species are recognized', 'five species are recognized', 'fives pcs are recognized']
|
|
[
"is often called a pure tensor",
"it is often called a pure tensor",
"it is often called a pure tensor",
"it is often called a pure tensor",
"there is often called a pure tensor"
] |
it is often called a pure tensor
|
is often called a pure tensor.
|
it is often called a pure tensor. it is often called a pure tensor. it is often called a pure tensor. there is often called a pure tensor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['is often called a pure tensor', 'it is often called a pure tensor', 'it is often called a pure tensor', 'it is often called a pure tensor', 'there is often called a pure tensor']
|
|
[
"the borough is named for its location at the center of an agricultural area",
"the borough is named for its location at the center of an agricultural area",
"the burrow is named for its location at the center of an agricultural area",
"the borrow is named for its location at the center of an agricultural area",
"the borough is named for its location at the center of an agricultural area"
] |
the borough is named for its location at the center of an agricultural area
|
the borough is named for its location at the center of an agricultural area.
|
the borough is named for its location at the center of an agricultural area. the burrow is named for its location at the center of an agricultural area. the borrow is named for its location at the center of an agricultural area. the borough is named for its location at the center of an agricultural area.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the borough is named for its location at the center of an agricultural area', 'the borough is named for its location at the center of an agricultural area', 'the burrow is named for its location at the center of an agricultural area', 'the borrow is named for its location at the center of an agricultural area', 'the borough is named for its location at the center of an agricultural area']
|
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