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[ "that mosque is called vittatus dirises mosque after the grand duke vittatus", "that mosque is called vittatus dirisus mosque after the grand duke vittatus", "that mosque is called vittotus dirises mosque after the grand duke vittotus", "that mosque is called vittatus dirisus mosque after the grand duke vittatus", "that mosque is called vittatus dirisus mosque after the grand duke vittatus" ]
that mosque is called vytautas didysis mosque after the grand duke vytautas
that mosque is called vittatus dirises mosque after the grand duke vittatus.
that mosque is called vittatus dirisus mosque after the grand duke vittatus. that mosque is called vittotus dirises mosque after the grand duke vittotus. that mosque is called vittatus dirisus mosque after the grand duke vittatus. that mosque is called vittatus dirisus mosque after the grand duke vittatus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that mosque is called vittatus dirises mosque after the grand duke vittatus', 'that mosque is called vittatus dirisus mosque after the grand duke vittatus', 'that mosque is called vittotus dirises mosque after the grand duke vittotus', 'that mosque is called vittatus dirisus mosque after the grand duke vittatus', 'that mosque is called vittatus dirisus mosque after the grand duke vittatus']
[ "yaki is always one to run into danger when it is most expected", "yaki is always one to run into danger when it is most expected", "yaki is always one to run into danger when it is most expected", "yaki is always one to run into danger when it is most expected", "yaki is always one to run into danger when it is most expected" ]
yakky is always one to run into danger when it is most expected
yaki is always one to run into danger when it is most expected.
yaki is always one to run into danger when it is most expected. yaki is always one to run into danger when it is most expected. yaki is always one to run into danger when it is most expected. yaki is always one to run into danger when it is most expected.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['yaki is always one to run into danger when it is most expected', 'yaki is always one to run into danger when it is most expected', 'yaki is always one to run into danger when it is most expected', 'yaki is always one to run into danger when it is most expected', 'yaki is always one to run into danger when it is most expected']
[ "these products are victims of first mover disadvantages", "these products are victims of first moving disadvantages", "these products are victims of first movie disadvantages", "these products are victims of first movement disadvantages", "these products are victims of first mover disadvantages" ]
these products are victims of first mover disadvantages
these products are victims of first mover disadvantages.
these products are victims of first moving disadvantages. these products are victims of first movie disadvantages. these products are victims of first movement disadvantages. these products are victims of first mover disadvantages.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these products are victims of first mover disadvantages', 'these products are victims of first moving disadvantages', 'these products are victims of first movie disadvantages', 'these products are victims of first movement disadvantages', 'these products are victims of first mover disadvantages']
[ "it is also a restaurant in rockway beach oregon", "it is also restaurant in rockway beach oregon", "it is also a restaurant in rokway beach oregon", "it is also a restaurant in raquay beach oregon", "it is also a restaurant in rokwe beach oregon" ]
it is also a restaurant in rockaway beach oregon
it is also a restaurant in rockway beach oregon.
it is also restaurant in rockway beach oregon. it is also a restaurant in rokway beach oregon. it is also a restaurant in raquay beach oregon. it is also a restaurant in rokwe beach oregon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also a restaurant in rockway beach oregon', 'it is also restaurant in rockway beach oregon', 'it is also a restaurant in rokway beach oregon', 'it is also a restaurant in raquay beach oregon', 'it is also a restaurant in rokwe beach oregon']
[ "jod dreams often about this coming fall", "jod dreams often about this coming full", "jod dreams often about this coming fall", "jod dreams often about this coming full", "jordy dreams often about this coming fall" ]
jody dreams often about his coming foal
jod dreams often about this coming fall.
jod dreams often about this coming full. jod dreams often about this coming fall. jod dreams often about this coming full. jordy dreams often about this coming fall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jod dreams often about this coming fall', 'jod dreams often about this coming full', 'jod dreams often about this coming fall', 'jod dreams often about this coming full', 'jordy dreams often about this coming fall']
[ "the first petrol comprised two cars nine men and one machine gun", "the first petrol comprised two cars nine men and one machine gun", "the first petrol comprised two cars nine men and one machine gun", "the first petrol comprised two cars nine men and one machine gun", "the first petrol comprised two cars nine men and one machine gun" ]
the first patrol comprised two cars nine men and one machine gun
the first petrol comprised two cars nine men and one machine gun.
the first petrol comprised two cars nine men and one machine gun. the first petrol comprised two cars nine men and one machine gun. the first petrol comprised two cars nine men and one machine gun. the first petrol comprised two cars nine men and one machine gun.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first petrol comprised two cars nine men and one machine gun', 'the first petrol comprised two cars nine men and one machine gun', 'the first petrol comprised two cars nine men and one machine gun', 'the first petrol comprised two cars nine men and one machine gun', 'the first petrol comprised two cars nine men and one machine gun']
[ "they are considered to be most suitable to be consumed young", "they are considered to be most suitable to be consumed young", "they are considered to be most suitable to be consumed by young", "they are considered to be most suitable to be consumed young", "they are considered to be most suitable to be consumed young" ]
they are considered to be most suitable to be consumed young
they are considered to be most suitable to be consumed young.
they are considered to be most suitable to be consumed young. they are considered to be most suitable to be consumed by young. they are considered to be most suitable to be consumed young. they are considered to be most suitable to be consumed young.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are considered to be most suitable to be consumed young', 'they are considered to be most suitable to be consumed young', 'they are considered to be most suitable to be consumed by young', 'they are considered to be most suitable to be consumed young', 'they are considered to be most suitable to be consumed young']
[ "a huge bengali crowd showed support for south africa in this match", "a huge bengali crowd showed support for south africa in this match", "a huge bengali crowd showed support for south african this match", "a huge bengali crowd showed support for south african this match", "a huge bengali crowd showed support for south africa in this match" ]
a huge bengali crowd showed support for south africa in this match
a huge bengali crowd showed support for south africa in this match.
a huge bengali crowd showed support for south africa in this match. a huge bengali crowd showed support for south african this match. a huge bengali crowd showed support for south african this match. a huge bengali crowd showed support for south africa in this match.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a huge bengali crowd showed support for south africa in this match', 'a huge bengali crowd showed support for south africa in this match', 'a huge bengali crowd showed support for south african this match', 'a huge bengali crowd showed support for south african this match', 'a huge bengali crowd showed support for south africa in this match']
[ "this was heavily criticized by public and students and has been suspended", "this was heavily criticized by public and students and has been suspended", "this was heavily criticized by public and students and has been suspended", "this was heavily criticized by public and students and has been suspended", "this was heavily criticized by public and students and has been suspended" ]
this was heavily criticized by public and students and has been suspended
this was heavily criticized by public and students and has been suspended.
this was heavily criticized by public and students and has been suspended. this was heavily criticized by public and students and has been suspended. this was heavily criticized by public and students and has been suspended. this was heavily criticized by public and students and has been suspended.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was heavily criticized by public and students and has been suspended', 'this was heavily criticized by public and students and has been suspended', 'this was heavily criticized by public and students and has been suspended', 'this was heavily criticized by public and students and has been suspended', 'this was heavily criticized by public and students and has been suspended']
[ "as the stanford university network attracted attracts he became interested in possible network defenses", "as the stanford university network attracted attracts he became interested in possible network defenses", "as the stone fort university network attracted attracts he became interested in possible network defenses", "as the stone fort university network attracted attracts he became interested in possible network defenses", "as the shunford university network attracted attracts he became interested in possible network defenses" ]
as the stanford university network attracted attacks he became interested in possible network defenses
as the stanford university network attracted attracts he became interested in possible network defenses.
as the stanford university network attracted attracts he became interested in possible network defenses. as the stone fort university network attracted attracts he became interested in possible network defenses. as the stone fort university network attracted attracts he became interested in possible network defenses. as the shunford university network attracted attracts he became interested in possible network defenses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the stanford university network attracted attracts he became interested in possible network defenses', 'as the stanford university network attracted attracts he became interested in possible network defenses', 'as the stone fort university network attracted attracts he became interested in possible network defenses', 'as the stone fort university network attracted attracts he became interested in possible network defenses', 'as the shunford university network attracted attracts he became interested in possible network defenses']
[ "the brotherhood of railway common is a division of the transportation communications union", "the brotherhood of roway common is a division of the transportation communications union", "the brotherhood of norway common is a division of the transportation communications union", "the brotherhood of roe common is a division of the transportation communications union", "the brotherhood of roway common is a division of the transportation communications union" ]
the brotherhood of railway carmen is a division of the transportation communications union
the brotherhood of railway common is a division of the transportation communications union.
the brotherhood of roway common is a division of the transportation communications union. the brotherhood of norway common is a division of the transportation communications union. the brotherhood of roe common is a division of the transportation communications union. the brotherhood of roway common is a division of the transportation communications union.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the brotherhood of railway common is a division of the transportation communications union', 'the brotherhood of roway common is a division of the transportation communications union', 'the brotherhood of norway common is a division of the transportation communications union', 'the brotherhood of roe common is a division of the transportation communications union', 'the brotherhood of roway common is a division of the transportation communications union']
[ "bly was born in potsmouth virginia", "bly was born in portsmouth virginia", "bly was born in fortsmouth virginia", "live was born in potsmouth virginia", "live was born in fortsmouth virginia" ]
bly was born in portsmouth virginia
bly was born in potsmouth virginia.
bly was born in portsmouth virginia. bly was born in fortsmouth virginia. live was born in potsmouth virginia. live was born in fortsmouth virginia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bly was born in potsmouth virginia', 'bly was born in portsmouth virginia', 'bly was born in fortsmouth virginia', 'live was born in potsmouth virginia', 'live was born in fortsmouth virginia']
[ "that tradition about campuses preserved by the greek authors come from two different sources", "that tradition about campus is preserved by the greek authors come from two different sources", "that tradition about campus is preserved by the greek authors come from two different sources", "that tradition about campus is preserved by the greek otters come from two different sources", "that tradition about campus is preserved by the greek otters come from two different sources" ]
the traditions about cambyses preserved by the greek authors come from two different sources
that tradition about campuses preserved by the greek authors come from two different sources.
that tradition about campus is preserved by the greek authors come from two different sources. that tradition about campus is preserved by the greek authors come from two different sources. that tradition about campus is preserved by the greek otters come from two different sources. that tradition about campus is preserved by the greek otters come from two different sources.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that tradition about campuses preserved by the greek authors come from two different sources', 'that tradition about campus is preserved by the greek authors come from two different sources', 'that tradition about campus is preserved by the greek authors come from two different sources', 'that tradition about campus is preserved by the greek otters come from two different sources', 'that tradition about campus is preserved by the greek otters come from two different sources']
[ "bye now most of the inhabitants are said to be here", "bye now most of the inhabitants are next week", "bye now most of the inhabitants are said to be here", "bye now most of the inhabitants are said to be here", "bye now most of the inhabitants are at speed" ]
by now most of the inhabitants are czech people
bye now most of the inhabitants are said to be here.
bye now most of the inhabitants are next week. bye now most of the inhabitants are said to be here. bye now most of the inhabitants are said to be here. bye now most of the inhabitants are at speed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bye now most of the inhabitants are said to be here', 'bye now most of the inhabitants are next week', 'bye now most of the inhabitants are said to be here', 'bye now most of the inhabitants are said to be here', 'bye now most of the inhabitants are at speed']
[ "it is a pale blue solid", "it is a pale blue solid", "it is a pale blue solid", "it is a pale blue solid", "it is a pale blue solid" ]
it is a pale blue solid
it is a pale blue solid.
it is a pale blue solid. it is a pale blue solid. it is a pale blue solid. it is a pale blue solid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a pale blue solid', 'it is a pale blue solid', 'it is a pale blue solid', 'it is a pale blue solid', 'it is a pale blue solid']
[ "flores produced at a local or regional level rarely contents identification keys", "flores produced at a local or a regional level rarely contents identification keys", "flores produced at a local or regional level rarely contents identification keys", "flores produced at a local or a regional level rarely contents identification keys", "flores produced at a local or regional level rarely contents identification keys" ]
floras produced at a local or regional level rarely contain identification keys
flores produced at a local or regional level rarely contents identification keys.
flores produced at a local or a regional level rarely contents identification keys. flores produced at a local or regional level rarely contents identification keys. flores produced at a local or a regional level rarely contents identification keys. flores produced at a local or regional level rarely contents identification keys.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['flores produced at a local or regional level rarely contents identification keys', 'flores produced at a local or a regional level rarely contents identification keys', 'flores produced at a local or regional level rarely contents identification keys', 'flores produced at a local or a regional level rarely contents identification keys', 'flores produced at a local or regional level rarely contents identification keys']
[ "may i come again", "merry come again", "merry come again", "mary come again", "mary come again" ]
may i come again
may i come again.
merry come again. merry come again. mary come again. mary come again.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['may i come again', 'merry come again', 'merry come again', 'mary come again', 'mary come again']
[ "camera is the daughter of bob badenhorst durin and his wife deanna", "camera is the daughter of bob badenhorst durin and his wife diana", "camera is the daughter of bob badenhorst durin and his wife diana", "the camera is the daughter of bob badenhorst durin and his wife deanna", "camera is the daughter of bob badenhorst durin and his wife deanna" ]
camerer is the daughter of bob badenhorst durrant and his wife diana
camera is the daughter of bob badenhorst durin and his wife deanna.
camera is the daughter of bob badenhorst durin and his wife diana. camera is the daughter of bob badenhorst durin and his wife diana. the camera is the daughter of bob badenhorst durin and his wife deanna. camera is the daughter of bob badenhorst durin and his wife deanna.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['camera is the daughter of bob badenhorst durin and his wife deanna', 'camera is the daughter of bob badenhorst durin and his wife diana', 'camera is the daughter of bob badenhorst durin and his wife diana', 'the camera is the daughter of bob badenhorst durin and his wife deanna', 'camera is the daughter of bob badenhorst durin and his wife deanna']
[ "parallel software development has fragmented", "in parallel software development has fragmented", "and parallel software development has fragmented", "and parallel software development has fragmented", "and parallel software development has fragmented" ]
in parallel software development has fragmented
parallel software development has fragmented.
in parallel software development has fragmented. and parallel software development has fragmented. and parallel software development has fragmented. and parallel software development has fragmented.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['parallel software development has fragmented', 'in parallel software development has fragmented', 'and parallel software development has fragmented', 'and parallel software development has fragmented', 'and parallel software development has fragmented']
[ "the chinook proved especially valuable in pipe smoke aircraft recovery missions", "the chinook proved especially valuable in pipe smoke aircraft recovery missions", "the chinoc proved especially valuable in pipe smoke aircraft recovery missions", "the chinook proved especially valuable in pipe smoke aircraft recovery missions", "the chin ok proved especially valuable in pipe smoke aircraft recovery missions" ]
the chinook proved especially valuable in pipe smoke aircraft recovery missions
the chinook proved especially valuable in pipe smoke aircraft recovery missions.
the chinook proved especially valuable in pipe smoke aircraft recovery missions. the chinoc proved especially valuable in pipe smoke aircraft recovery missions. the chinook proved especially valuable in pipe smoke aircraft recovery missions. the chin ok proved especially valuable in pipe smoke aircraft recovery missions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the chinook proved especially valuable in pipe smoke aircraft recovery missions', 'the chinook proved especially valuable in pipe smoke aircraft recovery missions', 'the chinoc proved especially valuable in pipe smoke aircraft recovery missions', 'the chinook proved especially valuable in pipe smoke aircraft recovery missions', 'the chin ok proved especially valuable in pipe smoke aircraft recovery missions']
[ "some machines with longer instruction cache lightens would have an even larger loss", "some machines with longer instruction cache lightensies would have an even larger loss", "some machines with longer instruction cache lightences would have an even larger loss", "some machines with longer instruction cache lightencies would have an even larger loss", "some machines with longer instruction case lightens would have an even larger loss" ]
some machines with longer instruction cache latencies would have an even larger loss
some machines with longer instruction cache lightens would have an even larger loss.
some machines with longer instruction cache lightensies would have an even larger loss. some machines with longer instruction cache lightences would have an even larger loss. some machines with longer instruction cache lightencies would have an even larger loss. some machines with longer instruction case lightens would have an even larger loss.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some machines with longer instruction cache lightens would have an even larger loss', 'some machines with longer instruction cache lightensies would have an even larger loss', 'some machines with longer instruction cache lightences would have an even larger loss', 'some machines with longer instruction cache lightencies would have an even larger loss', 'some machines with longer instruction case lightens would have an even larger loss']
[ "after his release from hospital grow the underwent months of occupational therapy and physiotherapy", "after his release from hospital crowder underwent months of occupational therapy and physiotherapy", "after his release from hospital grow the underwent months of occupational therapy and physio therapy", "after his release from hospital grow the underwent months of occupational therapy and physiotherapy", "after his release from hospital grow the underwent months of occupational therapy and physio therapy" ]
after his release from hospital crowther underwent months of occupational therapy and physiotherapy
after his release from hospital grow the underwent months of occupational therapy and physiotherapy.
after his release from hospital crowder underwent months of occupational therapy and physiotherapy. after his release from hospital grow the underwent months of occupational therapy and physio therapy. after his release from hospital grow the underwent months of occupational therapy and physiotherapy. after his release from hospital grow the underwent months of occupational therapy and physio therapy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after his release from hospital grow the underwent months of occupational therapy and physiotherapy', 'after his release from hospital crowder underwent months of occupational therapy and physiotherapy', 'after his release from hospital grow the underwent months of occupational therapy and physio therapy', 'after his release from hospital grow the underwent months of occupational therapy and physiotherapy', 'after his release from hospital grow the underwent months of occupational therapy and physio therapy']
[ "of the boys different ways to grow chapters", "of the boys different ways to grow chapters", "of the boys different ways to grow chaters", "of the boys different ways to go chapters", "of the boys different ways to grow chaps" ]
various church leaders have proposed different ways to grow churches
of the boys different ways to grow chapters.
of the boys different ways to grow chapters. of the boys different ways to grow chaters. of the boys different ways to go chapters. of the boys different ways to grow chaps.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of the boys different ways to grow chapters', 'of the boys different ways to grow chapters', 'of the boys different ways to grow chaters', 'of the boys different ways to go chapters', 'of the boys different ways to grow chaps']
[ "however there are no real restrictions to the batting positions", "however there are no real restrictions to the betting positions", "however there are no real restrictions to the batting positions", "however there are no real restrictions to the batting positions", "however there are no real restrictions to the betting positions" ]
however there are no real restrictions to the batting positions
however there are no real restrictions to the batting positions.
however there are no real restrictions to the betting positions. however there are no real restrictions to the batting positions. however there are no real restrictions to the batting positions. however there are no real restrictions to the betting positions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however there are no real restrictions to the batting positions', 'however there are no real restrictions to the betting positions', 'however there are no real restrictions to the batting positions', 'however there are no real restrictions to the batting positions', 'however there are no real restrictions to the betting positions']
[ "this section duplicated the highway along north terrace", "the section duplicated the highway along north terrace", "this section duplicated the highway along north terras", "this section dupecated the highway along north terrace", "this section duplicated the highway along north tarris" ]
this section duplicated the highway along north terrace
this section duplicated the highway along north terrace.
the section duplicated the highway along north terrace. this section duplicated the highway along north terras. this section dupecated the highway along north terrace. this section duplicated the highway along north tarris.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this section duplicated the highway along north terrace', 'the section duplicated the highway along north terrace', 'this section duplicated the highway along north terras', 'this section dupecated the highway along north terrace', 'this section duplicated the highway along north tarris']
[ "anderson taught harris of her confrontation she had had with local school trustees", "anderson told harris of her confrontation she had had with local school trustees", "anderson told harris of a confrontation she had had with local school trustees", "anderson taught harris of a confrontation she had had with local school trustees", "anderson taught harris of her confrontations she had had with local school trustees" ]
henderson told harris of a confrontation she had had with local school trustees
anderson taught harris of her confrontation she had had with local school trustees.
anderson told harris of her confrontation she had had with local school trustees. anderson told harris of a confrontation she had had with local school trustees. anderson taught harris of a confrontation she had had with local school trustees. anderson taught harris of her confrontations she had had with local school trustees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['anderson taught harris of her confrontation she had had with local school trustees', 'anderson told harris of her confrontation she had had with local school trustees', 'anderson told harris of a confrontation she had had with local school trustees', 'anderson taught harris of a confrontation she had had with local school trustees', 'anderson taught harris of her confrontations she had had with local school trustees']
[ "i am not due", "i am not though", "i am not do", "i am not do", "i am not though" ]
i am not though
i am not due.
i am not though. i am not do. i am not do. i am not though.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am not due', 'i am not though', 'i am not do', 'i am not do', 'i am not though']
[ "it spawns the singles dignity chocolate girl and load it", "it spawned the singles dignity chocolate girl and loaded", "it spawns the singles dignity chocolate girl and load it", "it spawns the singles dignity chocolate curve and load it", "it spawns the singles dignity chocolate girl and loaded" ]
it spawned the singles dignity chocolate girl and loaded
it spawns the singles dignity chocolate girl and load it.
it spawned the singles dignity chocolate girl and loaded. it spawns the singles dignity chocolate girl and load it. it spawns the singles dignity chocolate curve and load it. it spawns the singles dignity chocolate girl and loaded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it spawns the singles dignity chocolate girl and load it', 'it spawned the singles dignity chocolate girl and loaded', 'it spawns the singles dignity chocolate girl and load it', 'it spawns the singles dignity chocolate curve and load it', 'it spawns the singles dignity chocolate girl and loaded']
[ "other matches played in our premadasa stadium", "other matches played in our premadasa stadium", "other matches played in our premadasa stadium", "other matches played in our pramadasa stadium", "other matches played in our promethasa stadium" ]
other matches played in r premadasa stadium
other matches played in our premadasa stadium.
other matches played in our premadasa stadium. other matches played in our premadasa stadium. other matches played in our pramadasa stadium. other matches played in our promethasa stadium.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other matches played in our premadasa stadium', 'other matches played in our premadasa stadium', 'other matches played in our premadasa stadium', 'other matches played in our pramadasa stadium', 'other matches played in our promethasa stadium']
[ "he outranked nikolas and kept him from securing their mother is release from prison", "he outranked nicolas and kept him from securing their mother is release from prison", "he outranked nicholas and kept him from securing their mother is release from prison", "he outranked niklas and kept him from securing their mother is release from prison", "he outranked nikolas and kept him from securing their models released from prison" ]
he outranked nicholas and kept him from securing their mother is release from prison
he outranked nikolas and kept him from securing their mother is release from prison.
he outranked nicolas and kept him from securing their mother is release from prison. he outranked nicholas and kept him from securing their mother is release from prison. he outranked niklas and kept him from securing their mother is release from prison. he outranked nikolas and kept him from securing their models released from prison.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he outranked nikolas and kept him from securing their mother is release from prison', 'he outranked nicolas and kept him from securing their mother is release from prison', 'he outranked nicholas and kept him from securing their mother is release from prison', 'he outranked niklas and kept him from securing their mother is release from prison', 'he outranked nikolas and kept him from securing their models released from prison']
[ "step by the build scene with small studio in the backyard", "step by the build same with small studio in the backyard", "step by the builds him a small studio in the backyard", "step for the build scene with small studio in the backyard", "step by the build scene with a small studio in the backyard" ]
stepfather builds him a small studio in the backyard
step by the build scene with small studio in the backyard.
step by the build same with small studio in the backyard. step by the builds him a small studio in the backyard. step for the build scene with small studio in the backyard. step by the build scene with a small studio in the backyard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['step by the build scene with small studio in the backyard', 'step by the build same with small studio in the backyard', 'step by the builds him a small studio in the backyard', 'step for the build scene with small studio in the backyard', 'step by the build scene with a small studio in the backyard']
[ "yeshitala is also the founder of citizens united for a shared prosperity", "yeshitella is also the founder of citizens united for a shared prosperity", "yashitella is also the founder of citizens united for a shared prosperity", "yeshitela is also the founder of citizens united for a shared prosperity", "yashitela is also the founder of citizens united for a shared prosperity" ]
yeshitela is also the founder of citizens united for a shared prosperity
yeshitala is also the founder of citizens united for a shared prosperity.
yeshitella is also the founder of citizens united for a shared prosperity. yashitella is also the founder of citizens united for a shared prosperity. yeshitela is also the founder of citizens united for a shared prosperity. yashitela is also the founder of citizens united for a shared prosperity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['yeshitala is also the founder of citizens united for a shared prosperity', 'yeshitella is also the founder of citizens united for a shared prosperity', 'yashitella is also the founder of citizens united for a shared prosperity', 'yeshitela is also the founder of citizens united for a shared prosperity', 'yashitela is also the founder of citizens united for a shared prosperity']
[ "the area will also contain the rediza national park romania is first national park", "the area also contains the rediza national park romania is first national park", "the area will also contain the rediza national park romania is first national park", "the area also contains the rediza national park romania is first national park", "the area also contains the red isat national park romania is first national park" ]
the area also contains the retezat national park romania is first national park
the area will also contain the rediza national park romania is first national park.
the area also contains the rediza national park romania is first national park. the area will also contain the rediza national park romania is first national park. the area also contains the rediza national park romania is first national park. the area also contains the red isat national park romania is first national park.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the area will also contain the rediza national park romania is first national park', 'the area also contains the rediza national park romania is first national park', 'the area will also contain the rediza national park romania is first national park', 'the area also contains the rediza national park romania is first national park', 'the area also contains the red isat national park romania is first national park']
[ "he then studied for a year agriculture economics history and art in munich", "he then studied for a year agriculture economics history and art in munich", "he then studied for a year agriculture economics history and art in new york", "he then studied for a year agriculture economics history and art in new york", "he then studied for a year agriculture economics history and art in munich" ]
he then studied for a year agriculture economics history and art in munich
he then studied for a year agriculture economics history and art in munich.
he then studied for a year agriculture economics history and art in munich. he then studied for a year agriculture economics history and art in new york. he then studied for a year agriculture economics history and art in new york. he then studied for a year agriculture economics history and art in munich.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then studied for a year agriculture economics history and art in munich', 'he then studied for a year agriculture economics history and art in munich', 'he then studied for a year agriculture economics history and art in new york', 'he then studied for a year agriculture economics history and art in new york', 'he then studied for a year agriculture economics history and art in munich']
[ "baza family approximately two thirds of all spire galaxies", "baza family approximately two threerds of all spire galaxies", "as a family approximately two thirds of all spire galaxies", "bowser family approximately two threerds of all spire galaxies", "baza family approximately two thirds of all spire galaxies" ]
bars are found in approximately two thirds of all spiral galaxies
baza family approximately two thirds of all spire galaxies.
baza family approximately two threerds of all spire galaxies. as a family approximately two thirds of all spire galaxies. bowser family approximately two threerds of all spire galaxies. baza family approximately two thirds of all spire galaxies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['baza family approximately two thirds of all spire galaxies', 'baza family approximately two threerds of all spire galaxies', 'as a family approximately two thirds of all spire galaxies', 'bowser family approximately two threerds of all spire galaxies', 'baza family approximately two thirds of all spire galaxies']
[ "the similarities to the unrelated flying schools are an example of convergent evolution", "the similarities to the unrelated flying schools are an example of converging evolution", "the similarities to the unrelated flying schools are an example of conversion evolution", "the similarities to the unrelated flying squirrels are an example of convergent evolution", "the similarities to the unrelated flying squirrels are an example of convergent evolution" ]
their similarities to the unrelated flying squirrels are an example of convergent evolution
the similarities to the unrelated flying schools are an example of convergent evolution.
the similarities to the unrelated flying schools are an example of converging evolution. the similarities to the unrelated flying schools are an example of conversion evolution. the similarities to the unrelated flying squirrels are an example of convergent evolution. the similarities to the unrelated flying squirrels are an example of convergent evolution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the similarities to the unrelated flying schools are an example of convergent evolution', 'the similarities to the unrelated flying schools are an example of converging evolution', 'the similarities to the unrelated flying schools are an example of conversion evolution', 'the similarities to the unrelated flying squirrels are an example of convergent evolution', 'the similarities to the unrelated flying squirrels are an example of convergent evolution']
[ "after that the covers reprinted the original pulp covers", "after that the covers re printed the original pulp covers", "after that the covers reprinted the original pulp covers", "after that the cover is reprinted the original pulp covers", "after that the covers re printed the original pulp covers" ]
after that the covers reprinted the original pulp covers
after that the covers reprinted the original pulp covers.
after that the covers re printed the original pulp covers. after that the covers reprinted the original pulp covers. after that the cover is reprinted the original pulp covers. after that the covers re printed the original pulp covers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after that the covers reprinted the original pulp covers', 'after that the covers re printed the original pulp covers', 'after that the covers reprinted the original pulp covers', 'after that the cover is reprinted the original pulp covers', 'after that the covers re printed the original pulp covers']
[ "in cosmological terms the universe is chemically evolving", "and cosmological terms the universe is chemically evolving", "in cosmological terms the universe is chemically evolving", "and cosmological terms the universe is chemically evolving", "and cosmological terms the universe is chemically evolving" ]
in cosmological terms the universe is chemically evolving
in cosmological terms the universe is chemically evolving.
and cosmological terms the universe is chemically evolving. in cosmological terms the universe is chemically evolving. and cosmological terms the universe is chemically evolving. and cosmological terms the universe is chemically evolving.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in cosmological terms the universe is chemically evolving', 'and cosmological terms the universe is chemically evolving', 'in cosmological terms the universe is chemically evolving', 'and cosmological terms the universe is chemically evolving', 'and cosmological terms the universe is chemically evolving']
[ "do not prospered and brought land for investment rental and future development", "do not prospered in portland for investment rental and future development", "do not prosper in portland for investment rental and future development", "do not prosper and brought land for investment rental and future development", "do not prospered and bought land for investment rental and future development" ]
duane prospered and bought land for investment rental and future development
do not prospered and brought land for investment rental and future development.
do not prospered in portland for investment rental and future development. do not prosper in portland for investment rental and future development. do not prosper and brought land for investment rental and future development. do not prospered and bought land for investment rental and future development.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do not prospered and brought land for investment rental and future development', 'do not prospered in portland for investment rental and future development', 'do not prosper in portland for investment rental and future development', 'do not prosper and brought land for investment rental and future development', 'do not prospered and bought land for investment rental and future development']
[ "nonetheless he spent several days on the witness stand testifying against ryan and warner", "nonetheless he spent several days on the witness stand testifying against ryan and warner", "nonetheless he spent several days on the witness stand testifying against ryan and warner", "nonetheless he spent several days on the witness stand testifying against ryan and warner", "nonetheless he spent several days on the witness stand testifying against ryan and warner" ]
nonetheless he spent several days on the witness stand testifying against ryan and warner
nonetheless he spent several days on the witness stand testifying against ryan and warner.
nonetheless he spent several days on the witness stand testifying against ryan and warner. nonetheless he spent several days on the witness stand testifying against ryan and warner. nonetheless he spent several days on the witness stand testifying against ryan and warner. nonetheless he spent several days on the witness stand testifying against ryan and warner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nonetheless he spent several days on the witness stand testifying against ryan and warner', 'nonetheless he spent several days on the witness stand testifying against ryan and warner', 'nonetheless he spent several days on the witness stand testifying against ryan and warner', 'nonetheless he spent several days on the witness stand testifying against ryan and warner', 'nonetheless he spent several days on the witness stand testifying against ryan and warner']
[ "the quartet also traveled to puerto rico and mexico to promote their music", "the quartet also traveled to puerto rico and mexico to promote their music", "the quartet also traveled to puerto rico and mexico to promote their music", "the quartet also traveled to puerto rico and mexico to promote their music", "the quartet also traveled to puerto rico and mexico to promote their music" ]
the quartet also traveled to puerto rico and mexico to promote their music
the quartet also traveled to puerto rico and mexico to promote their music.
the quartet also traveled to puerto rico and mexico to promote their music. the quartet also traveled to puerto rico and mexico to promote their music. the quartet also traveled to puerto rico and mexico to promote their music. the quartet also traveled to puerto rico and mexico to promote their music.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the quartet also traveled to puerto rico and mexico to promote their music', 'the quartet also traveled to puerto rico and mexico to promote their music', 'the quartet also traveled to puerto rico and mexico to promote their music', 'the quartet also traveled to puerto rico and mexico to promote their music', 'the quartet also traveled to puerto rico and mexico to promote their music']
[ "the kyanide is situated east of the village of kyanide", "the cyanide is situated east of the village of cyanide", "the kyanite is situated east of the village of kyanite", "the kiyoni bay is situated east of the village of kiyoni", "the kiyoni day is situated east of the village of kiyoni" ]
the kioni bay is situated east of the village of kioni
the kyanide is situated east of the village of kyanide.
the cyanide is situated east of the village of cyanide. the kyanite is situated east of the village of kyanite. the kiyoni bay is situated east of the village of kiyoni. the kiyoni day is situated east of the village of kiyoni.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the kyanide is situated east of the village of kyanide', 'the cyanide is situated east of the village of cyanide', 'the kyanite is situated east of the village of kyanite', 'the kiyoni bay is situated east of the village of kiyoni', 'the kiyoni day is situated east of the village of kiyoni']
[ "when lasers are used a single detector without any dispersive elements might be sufficient", "when lasers are used as single detector without any dispersive elements might be sufficient", "when lasers are used a single detector without any dispersive elements might be sufficient", "when lasers are used as single detector without any dispersive elements might be sufficient", "when lasers are used a single detector without any dispersive elements might be sufficient" ]
when lasers are used a single detector without any dispersive elements might be sufficient
when lasers are used a single detector without any dispersive elements might be sufficient.
when lasers are used as single detector without any dispersive elements might be sufficient. when lasers are used a single detector without any dispersive elements might be sufficient. when lasers are used as single detector without any dispersive elements might be sufficient. when lasers are used a single detector without any dispersive elements might be sufficient.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when lasers are used a single detector without any dispersive elements might be sufficient', 'when lasers are used as single detector without any dispersive elements might be sufficient', 'when lasers are used a single detector without any dispersive elements might be sufficient', 'when lasers are used as single detector without any dispersive elements might be sufficient', 'when lasers are used a single detector without any dispersive elements might be sufficient']
[ "he currently works as a freelance writer", "he currently works as a freelancer writer", "he currently works as a freelancer writer", "he currently works as a freelance writer", "he currently works as a freelance writer" ]
he currently works as a freelance writer
he currently works as a freelance writer.
he currently works as a freelancer writer. he currently works as a freelancer writer. he currently works as a freelance writer. he currently works as a freelance writer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he currently works as a freelance writer', 'he currently works as a freelancer writer', 'he currently works as a freelancer writer', 'he currently works as a freelance writer', 'he currently works as a freelance writer']
[ "all of these features of his coaching are referred to as fair baronism", "all of these features of his coaching are referred to as fair bernism", "all of these features of his coaching are referred to as fair barrenism", "all of these features of his coaching are referred to as fair baronism", "all of these features of his coaching are referred to as fair bairnism" ]
all of these features of his coaching are referred to as fairbairnism
all of these features of his coaching are referred to as fair baronism.
all of these features of his coaching are referred to as fair bernism. all of these features of his coaching are referred to as fair barrenism. all of these features of his coaching are referred to as fair baronism. all of these features of his coaching are referred to as fair bairnism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all of these features of his coaching are referred to as fair baronism', 'all of these features of his coaching are referred to as fair bernism', 'all of these features of his coaching are referred to as fair barrenism', 'all of these features of his coaching are referred to as fair baronism', 'all of these features of his coaching are referred to as fair bairnism']
[ "this was the period in vitez god is name", "this was the period in vitez godet is name", "this was the period in vitez god its name", "this was the period in vitez god its name", "this was the period in vites god is name" ]
this was the period in vitez got its name
this was the period in vitez god is name.
this was the period in vitez godet is name. this was the period in vitez god its name. this was the period in vitez god its name. this was the period in vites god is name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was the period in vitez god is name', 'this was the period in vitez godet is name', 'this was the period in vitez god its name', 'this was the period in vitez god its name', 'this was the period in vites god is name']
[ "baxter is also an author publisher broadcaster and international prophecy teacher", "baxter is also an author publisher broadcaster and international prophecy teacher", "backstair is also an author publisher broadcaster and international prophecy teacher", "baxter is also an author publisher broadcaster and international prophecy teacher", "baxter is also an author publisher broadcaster and international prophecy teacher" ]
baxter is also an author publisher broadcaster and international prophecy teacher
baxter is also an author publisher broadcaster and international prophecy teacher.
baxter is also an author publisher broadcaster and international prophecy teacher. backstair is also an author publisher broadcaster and international prophecy teacher. baxter is also an author publisher broadcaster and international prophecy teacher. baxter is also an author publisher broadcaster and international prophecy teacher.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['baxter is also an author publisher broadcaster and international prophecy teacher', 'baxter is also an author publisher broadcaster and international prophecy teacher', 'backstair is also an author publisher broadcaster and international prophecy teacher', 'baxter is also an author publisher broadcaster and international prophecy teacher', 'baxter is also an author publisher broadcaster and international prophecy teacher']
[ "superman rescues them and acquires the ability to project his bioelectric aura", "superman rescues them and acquires the ability to project his bioelectric aura", "superman rescues them and acquires the ability to project his bioelectric aura", "superman rescues them and acquires the ability to project his bioelectric aura", "superman rescues them and acquires the ability to project his bioelectric aura" ]
superman rescues them and acquires the ability to project his bio electric aura
superman rescues them and acquires the ability to project his bioelectric aura.
superman rescues them and acquires the ability to project his bioelectric aura. superman rescues them and acquires the ability to project his bioelectric aura. superman rescues them and acquires the ability to project his bioelectric aura. superman rescues them and acquires the ability to project his bioelectric aura.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['superman rescues them and acquires the ability to project his bioelectric aura', 'superman rescues them and acquires the ability to project his bioelectric aura', 'superman rescues them and acquires the ability to project his bioelectric aura', 'superman rescues them and acquires the ability to project his bioelectric aura', 'superman rescues them and acquires the ability to project his bioelectric aura']
[ "here before the start of the tournament the court is arisa faces", "here before the start of the tournament the court is arisa faces", "here before the start of the tournament the codes are exacerbated", "here before the start of the tournament the codes are resurfaced", "here before the start of the tournament the court is arisa faces ." ]
each year before the start of the tournament the courts are resurfaced
here before the start of the tournament the court is arisa faces.
here before the start of the tournament the court is arisa faces. here before the start of the tournament the codes are exacerbated. here before the start of the tournament the codes are resurfaced. here before the start of the tournament the court is arisa faces ..
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here before the start of the tournament the court is arisa faces', 'here before the start of the tournament the court is arisa faces', 'here before the start of the tournament the codes are exacerbated', 'here before the start of the tournament the codes are resurfaced', 'here before the start of the tournament the court is arisa faces .']
[ "its data structures were strings numbers and a few other specialized things", "its data structures were strings numbers and a few other specialized things", "it is data structures were strings numbers and a few other specialized things", "its data structures were strings numbers and a few other specialized things", "it is data structures worth strings numbers and a few other specialized things" ]
its data structures were strings numbers and a few other specialized things
its data structures were strings numbers and a few other specialized things.
its data structures were strings numbers and a few other specialized things. it is data structures were strings numbers and a few other specialized things. its data structures were strings numbers and a few other specialized things. it is data structures worth strings numbers and a few other specialized things.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its data structures were strings numbers and a few other specialized things', 'its data structures were strings numbers and a few other specialized things', 'it is data structures were strings numbers and a few other specialized things', 'its data structures were strings numbers and a few other specialized things', 'it is data structures worth strings numbers and a few other specialized things']
[ "most was courageous in the midfield and was very skillful on both sides", "most was courageous in the midfield and was very skillful on both sides", "most was courageous in the midfield and was very skillful on both sides", "most was courageous in the midfield and was very skillful on both sides", "most was courageous in the midfield and was very skillful on both sides" ]
rose was courageous in the midfield and was very skillful on both sides
most was courageous in the midfield and was very skillful on both sides.
most was courageous in the midfield and was very skillful on both sides. most was courageous in the midfield and was very skillful on both sides. most was courageous in the midfield and was very skillful on both sides. most was courageous in the midfield and was very skillful on both sides.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most was courageous in the midfield and was very skillful on both sides', 'most was courageous in the midfield and was very skillful on both sides', 'most was courageous in the midfield and was very skillful on both sides', 'most was courageous in the midfield and was very skillful on both sides', 'most was courageous in the midfield and was very skillful on both sides']
[ "small granulations are called ville large calcified ones are referred to as petunian bodies", "small granulations are called ville large calcified ones are referred to as petronian bodies", "small granulations are called ville large calcified ones are referred to as petroleum bodies", "small granulations are called ville large calcified ones are referred to as patchanian bodies", "small granulations are called ville large calcified ones are referred to as petrenian bodies" ]
smaller granulations are called villi large calcified ones are referred to as pacchionian bodies
small granulations are called ville large calcified ones are referred to as petunian bodies.
small granulations are called ville large calcified ones are referred to as petronian bodies. small granulations are called ville large calcified ones are referred to as petroleum bodies. small granulations are called ville large calcified ones are referred to as patchanian bodies. small granulations are called ville large calcified ones are referred to as petrenian bodies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['small granulations are called ville large calcified ones are referred to as petunian bodies', 'small granulations are called ville large calcified ones are referred to as petronian bodies', 'small granulations are called ville large calcified ones are referred to as petroleum bodies', 'small granulations are called ville large calcified ones are referred to as patchanian bodies', 'small granulations are called ville large calcified ones are referred to as petrenian bodies']
[ "chester towns park system includes several large public parks down one thousand sports fields", "chester towns park system includes several large public parks downtown sports fields", "chester towns park system includes several large public parks down town and sports fields", "chester towns park system includes several large public parks downtown sports fields", "chester towns park system includes several large public parks down tavern sports fields" ]
chesterton is park system includes several large public parks downtown and sports fields
chester towns park system includes several large public parks down one thousand sports fields.
chester towns park system includes several large public parks downtown sports fields. chester towns park system includes several large public parks down town and sports fields. chester towns park system includes several large public parks downtown sports fields. chester towns park system includes several large public parks down tavern sports fields.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chester towns park system includes several large public parks down one thousand sports fields', 'chester towns park system includes several large public parks downtown sports fields', 'chester towns park system includes several large public parks down town and sports fields', 'chester towns park system includes several large public parks downtown sports fields', 'chester towns park system includes several large public parks down tavern sports fields']
[ "after the korean war he went to the barter theater in amindan virginia", "after the korean war he went to the barter theater in amundan virginia", "after the korean war he went to the barter theater in amindan virginia", "after the korean war he went to the butter theater in amindan virginia", "after the korean war he went to the butter theater in amindan virginia" ]
after the korean war he went to the barter theater in abingdon virginia
after the korean war he went to the barter theater in amindan virginia.
after the korean war he went to the barter theater in amundan virginia. after the korean war he went to the barter theater in amindan virginia. after the korean war he went to the butter theater in amindan virginia. after the korean war he went to the butter theater in amindan virginia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the korean war he went to the barter theater in amindan virginia', 'after the korean war he went to the barter theater in amundan virginia', 'after the korean war he went to the barter theater in amindan virginia', 'after the korean war he went to the butter theater in amindan virginia', 'after the korean war he went to the butter theater in amindan virginia']
[ "he is survived by his wife and five children", "he is survived by his wife and five children", "he is survived by his wife and five children", "he is survived by his wife and five children", "he is survived by his wife and five children" ]
he is survived by his wife and five children
he is survived by his wife and five children.
he is survived by his wife and five children. he is survived by his wife and five children. he is survived by his wife and five children. he is survived by his wife and five children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is survived by his wife and five children', 'he is survived by his wife and five children', 'he is survived by his wife and five children', 'he is survived by his wife and five children', 'he is survived by his wife and five children']
[ "she is its deputy president", "she is its deputy president", "she is deputy president", "she is its deputy president", "she is its deputy president" ]
she is its deputy president
she is its deputy president.
she is its deputy president. she is deputy president. she is its deputy president. she is its deputy president.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is its deputy president', 'she is its deputy president', 'she is deputy president', 'she is its deputy president', 'she is its deputy president']
[ "the film modifies this by making high to us telephysically capable man", "the film modifies this by making high to us telephysically capable man", "the film modifies this by making a high to us telephysically capable man", "the film modifies this by making a hack to us telephysically capable man", "the film modifies this by making a hind to us telephysically capable man" ]
the film modifies this by making hang tuah still a physically capable man
the film modifies this by making high to us telephysically capable man.
the film modifies this by making high to us telephysically capable man. the film modifies this by making a high to us telephysically capable man. the film modifies this by making a hack to us telephysically capable man. the film modifies this by making a hind to us telephysically capable man.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film modifies this by making high to us telephysically capable man', 'the film modifies this by making high to us telephysically capable man', 'the film modifies this by making a high to us telephysically capable man', 'the film modifies this by making a hack to us telephysically capable man', 'the film modifies this by making a hind to us telephysically capable man']
[ "scottie is televisions first on air symbols feature the line rampant of scotland", "scottie is televisions first on air symbols featured the line rampant of scotland", "scotty is televisions first on air symbols feature the line rampant of scotland", "scottie is televisions first on air symbols feature the line rampant of scottland", "scottie is televisions first on here symbols feature the line rampant of scotland" ]
scottish television is first on air symbol featured the lion rampant of scotland
scottie is televisions first on air symbols feature the line rampant of scotland.
scottie is televisions first on air symbols featured the line rampant of scotland. scotty is televisions first on air symbols feature the line rampant of scotland. scottie is televisions first on air symbols feature the line rampant of scottland. scottie is televisions first on here symbols feature the line rampant of scotland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['scottie is televisions first on air symbols feature the line rampant of scotland', 'scottie is televisions first on air symbols featured the line rampant of scotland', 'scotty is televisions first on air symbols feature the line rampant of scotland', 'scottie is televisions first on air symbols feature the line rampant of scottland', 'scottie is televisions first on here symbols feature the line rampant of scotland']
[ "the pollination mechanism of reason thela is not known", "the pollination mechanism of risen thela is not known", "the polynation mechanism of risen thela is not known", "the pollination mechanism of rizan thela is not known", "the pollination mechanism of the reason thela is not known" ]
the pollination mechanism of rhizanthella is not known
the pollination mechanism of reason thela is not known.
the pollination mechanism of risen thela is not known. the polynation mechanism of risen thela is not known. the pollination mechanism of rizan thela is not known. the pollination mechanism of the reason thela is not known.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the pollination mechanism of reason thela is not known', 'the pollination mechanism of risen thela is not known', 'the polynation mechanism of risen thela is not known', 'the pollination mechanism of rizan thela is not known', 'the pollination mechanism of the reason thela is not known']
[ "a graduated scrim varies the intensity of light from across it", "a graduated scream varies the intensity of light from across it", "a graduated screen varies the intensity of light from across it", "a graduated scream varies the intensity of light from across it", "a graduated scream varies the intensity of light from across it" ]
a graduated scrim varies the intensity of light from across it
a graduated scrim varies the intensity of light from across it.
a graduated scream varies the intensity of light from across it. a graduated screen varies the intensity of light from across it. a graduated scream varies the intensity of light from across it. a graduated scream varies the intensity of light from across it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a graduated scrim varies the intensity of light from across it', 'a graduated scream varies the intensity of light from across it', 'a graduated screen varies the intensity of light from across it', 'a graduated scream varies the intensity of light from across it', 'a graduated scream varies the intensity of light from across it']
[ "australia and venezuela too have very strong ties", "venezuela too have very strong ties", "venezuela too has very strong ties", "venezuela too have very strong ties", "vanuatu have very strong ties" ]
australia and vanuatu have very strong ties
australia and venezuela too have very strong ties.
venezuela too have very strong ties. venezuela too has very strong ties. venezuela too have very strong ties. vanuatu have very strong ties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['australia and venezuela too have very strong ties', 'venezuela too have very strong ties', 'venezuela too has very strong ties', 'venezuela too have very strong ties', 'vanuatu have very strong ties']
[ "the following table is nirvana is studio version of polly in order of recording date", "the following table is nirvana is studio version of polly in order of recording data", "the following table is nirvana is studio version of polly in order of recording tape", "the following table is nirvana is studio version of polly in order of recording date", "the following table is nirvana is studio version of polly in order of recording tape" ]
the following table lists nirvana is studio versions of polly in order of recording date
the following table is nirvana is studio version of polly in order of recording date.
the following table is nirvana is studio version of polly in order of recording data. the following table is nirvana is studio version of polly in order of recording tape. the following table is nirvana is studio version of polly in order of recording date. the following table is nirvana is studio version of polly in order of recording tape.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the following table is nirvana is studio version of polly in order of recording date', 'the following table is nirvana is studio version of polly in order of recording data', 'the following table is nirvana is studio version of polly in order of recording tape', 'the following table is nirvana is studio version of polly in order of recording date', 'the following table is nirvana is studio version of polly in order of recording tape']
[ "here is your conversation reading and writing exercise and bathing", "here is your conversation reading and writing exercise and bathing", "here in your conversation reading and writing exercise and bathing", "he enjoyed the conversation reading and writing exercise and bathing", "he enjoyed the conversation reading and writing excites and bathing" ]
he enjoyed conversation reading and writing exercise and bathing
here is your conversation reading and writing exercise and bathing.
here is your conversation reading and writing exercise and bathing. here in your conversation reading and writing exercise and bathing. he enjoyed the conversation reading and writing exercise and bathing. he enjoyed the conversation reading and writing excites and bathing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here is your conversation reading and writing exercise and bathing', 'here is your conversation reading and writing exercise and bathing', 'here in your conversation reading and writing exercise and bathing', 'he enjoyed the conversation reading and writing exercise and bathing', 'he enjoyed the conversation reading and writing excites and bathing']
[ "it refuted the best less customs and rules that existed in kerala", "it refuted the best less customs and roles that existed in kerala", "it refuted the bestless customs and rules that existed in kerala", "it refuted the bestless customs and roles that existed in kerala", "it refuted the best less customs and rose that existed in kerala" ]
it refuted the baseless customs and rules that existed in kerala
it refuted the best less customs and rules that existed in kerala.
it refuted the best less customs and roles that existed in kerala. it refuted the bestless customs and rules that existed in kerala. it refuted the bestless customs and roles that existed in kerala. it refuted the best less customs and rose that existed in kerala.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it refuted the best less customs and rules that existed in kerala', 'it refuted the best less customs and roles that existed in kerala', 'it refuted the bestless customs and rules that existed in kerala', 'it refuted the bestless customs and roles that existed in kerala', 'it refuted the best less customs and rose that existed in kerala']
[ "in some projects however mistakes in the specifications may not be detected until deployment", "in some projects however mistakes in the specifications may not be detected until deployment", "in some projects however mistakes in the specifications may not be detected until deployment", "in some projects however mistakes in the specifications might not be detected until deployment", "in some projects however mistakes in the specifications might not be detected until deployment" ]
in some projects however mistakes in the specifications may not be detected until deployment
in some projects however mistakes in the specifications may not be detected until deployment.
in some projects however mistakes in the specifications may not be detected until deployment. in some projects however mistakes in the specifications may not be detected until deployment. in some projects however mistakes in the specifications might not be detected until deployment. in some projects however mistakes in the specifications might not be detected until deployment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in some projects however mistakes in the specifications may not be detected until deployment', 'in some projects however mistakes in the specifications may not be detected until deployment', 'in some projects however mistakes in the specifications may not be detected until deployment', 'in some projects however mistakes in the specifications might not be detected until deployment', 'in some projects however mistakes in the specifications might not be detected until deployment']
[ "this is the equation of a parabola so the path is parabolic", "this is the equation of a parabola so the path is parabolic", "this is the equation of a parabola so the path is parabolic", "this is the equation of a parabola so the path is parabolic", "this is the equation of a parabola so the path is a parabola" ]
this is the equation of a parabola so the path is parabolic
this is the equation of a parabola so the path is parabolic.
this is the equation of a parabola so the path is parabolic. this is the equation of a parabola so the path is parabolic. this is the equation of a parabola so the path is parabolic. this is the equation of a parabola so the path is a parabola.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is the equation of a parabola so the path is parabolic', 'this is the equation of a parabola so the path is parabolic', 'this is the equation of a parabola so the path is parabolic', 'this is the equation of a parabola so the path is parabolic', 'this is the equation of a parabola so the path is a parabola']
[ "the model is now in the nizam museum in purani haveli", "the model is now in the nizhams museum in purani haveli", "the model is now in the nizam museum in burani haveli", "the model is now in the nizams museum in purani haveli", "the model is now in the nizhams museum in purani haveli" ]
the model is now in the nizam is museum in purani haveli
the model is now in the nizam museum in purani haveli.
the model is now in the nizhams museum in purani haveli. the model is now in the nizam museum in burani haveli. the model is now in the nizams museum in purani haveli. the model is now in the nizhams museum in purani haveli.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the model is now in the nizam museum in purani haveli', 'the model is now in the nizhams museum in purani haveli', 'the model is now in the nizam museum in burani haveli', 'the model is now in the nizams museum in purani haveli', 'the model is now in the nizhams museum in purani haveli']
[ "it was rebuilt after the war", "it was rebuilt after the war", "it was rebuilt after the war", "eat and was rebuilt after the war", "it was rebuilt after the war" ]
it was rebuilt after the war
it was rebuilt after the war.
it was rebuilt after the war. it was rebuilt after the war. eat and was rebuilt after the war. it was rebuilt after the war.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was rebuilt after the war', 'it was rebuilt after the war', 'it was rebuilt after the war', 'eat and was rebuilt after the war', 'it was rebuilt after the war']
[ "this was his first foreign trip", "this wass is first foreign trip", "this was it is first foreign trip", "this was it is first foreign trip", "this was it is first foreign trip" ]
this was his first foreign trip
this was his first foreign trip.
this wass is first foreign trip. this was it is first foreign trip. this was it is first foreign trip. this was it is first foreign trip.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was his first foreign trip', 'this wass is first foreign trip', 'this was it is first foreign trip', 'this was it is first foreign trip', 'this was it is first foreign trip']
[ "the down of racing is the district headquarters", "the town of racing is the district headquarters", "the down off racing is the district headquarters", "the town of grayson is the district headquarters", "the down off racing is the district headquarters" ]
the town of raisen is the district headquarters
the down of racing is the district headquarters.
the town of racing is the district headquarters. the down off racing is the district headquarters. the town of grayson is the district headquarters. the down off racing is the district headquarters.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the down of racing is the district headquarters', 'the town of racing is the district headquarters', 'the down off racing is the district headquarters', 'the town of grayson is the district headquarters', 'the down off racing is the district headquarters']
[ "a related concept of political science is the developmental state", "our related concept of political science is the developmental state", "a related concept of political science is the development of society", "a related concept of political science is the development system", "a related concept of political science is the development so stay" ]
a related concept in political science is the developmental state
a related concept of political science is the developmental state.
our related concept of political science is the developmental state. a related concept of political science is the development of society. a related concept of political science is the development system. a related concept of political science is the development so stay.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a related concept of political science is the developmental state', 'our related concept of political science is the developmental state', 'a related concept of political science is the development of society', 'a related concept of political science is the development system', 'a related concept of political science is the development so stay']
[ "historically offshore companies were broadly divided into two categories", "historically offshore companies were broadly divided into two categories", "historically offshore companies will broadly divide it into two categories", "historically offshore companies were broadly divided into two categories", "historically offshore companies will broadly divide it into two categories" ]
historically offshore companies were broadly divided into two categories
historically offshore companies were broadly divided into two categories.
historically offshore companies were broadly divided into two categories. historically offshore companies will broadly divide it into two categories. historically offshore companies were broadly divided into two categories. historically offshore companies will broadly divide it into two categories.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['historically offshore companies were broadly divided into two categories', 'historically offshore companies were broadly divided into two categories', 'historically offshore companies will broadly divide it into two categories', 'historically offshore companies were broadly divided into two categories', 'historically offshore companies will broadly divide it into two categories']
[ "he was the first distant player to be saw on it", "he was the first distant player to be saw on earth", "and he was the first distant player to be saw on it", "and he was the first distant player to be saw on it", "he was the first distant player to be saw on it" ]
he was the first western player to be so honored
he was the first distant player to be saw on it.
he was the first distant player to be saw on earth. and he was the first distant player to be saw on it. and he was the first distant player to be saw on it. he was the first distant player to be saw on it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was the first distant player to be saw on it', 'he was the first distant player to be saw on earth', 'and he was the first distant player to be saw on it', 'and he was the first distant player to be saw on it', 'he was the first distant player to be saw on it']
[ "he committed suicide after being revelated as jewish by the new york times reporter", "he committed suicide after being revealed as jewish by the new york times reporter", "he committed suicide after being revelated as jewish by the new york times supporter", "he committed suicide after being revealed as jewish by the new york times supporter", "he committed suicide after being reveled as jewish by the new york times reporter" ]
he committed suicide after being revealed as jewish by a new york times reporter
he committed suicide after being revelated as jewish by the new york times reporter.
he committed suicide after being revealed as jewish by the new york times reporter. he committed suicide after being revelated as jewish by the new york times supporter. he committed suicide after being revealed as jewish by the new york times supporter. he committed suicide after being reveled as jewish by the new york times reporter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he committed suicide after being revelated as jewish by the new york times reporter', 'he committed suicide after being revealed as jewish by the new york times reporter', 'he committed suicide after being revelated as jewish by the new york times supporter', 'he committed suicide after being revealed as jewish by the new york times supporter', 'he committed suicide after being reveled as jewish by the new york times reporter']
[ "both discovered the new element in residues of cell viewing acid production", "both discovered the new element in residues of self healing acid production", "both discovered the new element in residues of self euring acid production", "both discovered the new element in residues of salveering acid production", "both discovered the new element in residues of salvuring acid production" ]
both discovered the new element in residues of sulfuric acid production
both discovered the new element in residues of cell viewing acid production.
both discovered the new element in residues of self healing acid production. both discovered the new element in residues of self euring acid production. both discovered the new element in residues of salveering acid production. both discovered the new element in residues of salvuring acid production.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both discovered the new element in residues of cell viewing acid production', 'both discovered the new element in residues of self healing acid production', 'both discovered the new element in residues of self euring acid production', 'both discovered the new element in residues of salveering acid production', 'both discovered the new element in residues of salvuring acid production']
[ "you will not die of no nutrition be sure of that", "you will not die of known nutrition be sure of that", "you will not die of no nutrition be sure of that", "you will not die of known nutrition be sure of that", "you will not die of no nutrition be sure of that" ]
you will not die of malnutrition be sure of that
you will not die of no nutrition be sure of that.
you will not die of known nutrition be sure of that. you will not die of no nutrition be sure of that. you will not die of known nutrition be sure of that. you will not die of no nutrition be sure of that.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you will not die of no nutrition be sure of that', 'you will not die of known nutrition be sure of that', 'you will not die of no nutrition be sure of that', 'you will not die of known nutrition be sure of that', 'you will not die of no nutrition be sure of that']
[ "the safe sandy beach is popular as swimming and fishing destination", "the safe sandy beach is popular as is swimming and fishing destination", "the safe sandy beach is popular at swimming and fishing destination", "the safe sandy beach is popular and is swimming and fishing destination", "the safe sandy beach is popular at the swimming and fishing destination" ]
the safe sandy beach is popular as a swimming and fishing destination
the safe sandy beach is popular as swimming and fishing destination.
the safe sandy beach is popular as is swimming and fishing destination. the safe sandy beach is popular at swimming and fishing destination. the safe sandy beach is popular and is swimming and fishing destination. the safe sandy beach is popular at the swimming and fishing destination.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the safe sandy beach is popular as swimming and fishing destination', 'the safe sandy beach is popular as is swimming and fishing destination', 'the safe sandy beach is popular at swimming and fishing destination', 'the safe sandy beach is popular and is swimming and fishing destination', 'the safe sandy beach is popular at the swimming and fishing destination']
[ "he was also a close friend of john curtis", "he was also a close friend of john curtiss", "he was also a close friend of john curtiss", "he was also a close friend of john curtis", "he was also a close friend of john curtis" ]
he was also a close friend of john curtis
he was also a close friend of john curtis.
he was also a close friend of john curtiss. he was also a close friend of john curtiss. he was also a close friend of john curtis. he was also a close friend of john curtis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was also a close friend of john curtis', 'he was also a close friend of john curtiss', 'he was also a close friend of john curtiss', 'he was also a close friend of john curtis', 'he was also a close friend of john curtis']
[ "meanwhile several states have either abolished or shut down the penalty laws", "meanwhile several states have either abolished or sent down death penalty laws", "meanwhile several states have either abolished or sent down deputy laws", "meanwhile several states have either abolished or sent down deputy laws", "meanwhile several states have either abolished or shut down death penalty laws" ]
meanwhile several states have either abolished or struck down death penalty laws
meanwhile several states have either abolished or shut down the penalty laws.
meanwhile several states have either abolished or sent down death penalty laws. meanwhile several states have either abolished or sent down deputy laws. meanwhile several states have either abolished or sent down deputy laws. meanwhile several states have either abolished or shut down death penalty laws.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['meanwhile several states have either abolished or shut down the penalty laws', 'meanwhile several states have either abolished or sent down death penalty laws', 'meanwhile several states have either abolished or sent down deputy laws', 'meanwhile several states have either abolished or sent down deputy laws', 'meanwhile several states have either abolished or shut down death penalty laws']
[ "they are connecting cadiz california", "they are connecting caddy is california", "the connecting cat is california", "they are connecting caduce california", "they are connecting cadets california" ]
they connect in cadiz california
they are connecting cadiz california.
they are connecting caddy is california. the connecting cat is california. they are connecting caduce california. they are connecting cadets california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are connecting cadiz california', 'they are connecting caddy is california', 'the connecting cat is california', 'they are connecting caduce california', 'they are connecting cadets california']
[ "asteroids contain several bugs", "asteroids contain several bugs", "asteroids contain several bugs", "asteroids contain several bugs", "asteroids contain several bugs" ]
asteroids contains several bugs
asteroids contain several bugs.
asteroids contain several bugs. asteroids contain several bugs. asteroids contain several bugs. asteroids contain several bugs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['asteroids contain several bugs', 'asteroids contain several bugs', 'asteroids contain several bugs', 'asteroids contain several bugs', 'asteroids contain several bugs']
[ "bow creek is the safe proclaimed inter beam capital of the world", "bow creek is the self proclaimed inter beam capital of the world", "now creek is the safe proclaimed inter beam capital of the world", "no creek is the safe proclaimed inter beam capital of the world", "bow creek is the safe proclaimed indoor beam capital of the world" ]
dove creek is the self proclaimed pinto bean capital of the world
bow creek is the safe proclaimed inter beam capital of the world.
bow creek is the self proclaimed inter beam capital of the world. now creek is the safe proclaimed inter beam capital of the world. no creek is the safe proclaimed inter beam capital of the world. bow creek is the safe proclaimed indoor beam capital of the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bow creek is the safe proclaimed inter beam capital of the world', 'bow creek is the self proclaimed inter beam capital of the world', 'now creek is the safe proclaimed inter beam capital of the world', 'no creek is the safe proclaimed inter beam capital of the world', 'bow creek is the safe proclaimed indoor beam capital of the world']
[ "a poor performance will eventually cause the game to end", "a pull up performance will eventually cause the game to end", "a poor performance will eventually cause the game to end", "a poor performance will eventually cause the game to end", "a poor performance will eventually cause the game to end" ]
a poor performance will eventually cause the game to end
a poor performance will eventually cause the game to end.
a pull up performance will eventually cause the game to end. a poor performance will eventually cause the game to end. a poor performance will eventually cause the game to end. a poor performance will eventually cause the game to end.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a poor performance will eventually cause the game to end', 'a pull up performance will eventually cause the game to end', 'a poor performance will eventually cause the game to end', 'a poor performance will eventually cause the game to end', 'a poor performance will eventually cause the game to end']
[ "in other situations poison torture and natural resources are used", "in other situations poison torture and natural resources are used", "in other situations poison torture and natural resources are used", "in other situations poison torture and natural resources are used", "in other situations poison torture and natural resources are used" ]
in other situations poison torture and natural resources are used
in other situations poison torture and natural resources are used.
in other situations poison torture and natural resources are used. in other situations poison torture and natural resources are used. in other situations poison torture and natural resources are used. in other situations poison torture and natural resources are used.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in other situations poison torture and natural resources are used', 'in other situations poison torture and natural resources are used', 'in other situations poison torture and natural resources are used', 'in other situations poison torture and natural resources are used', 'in other situations poison torture and natural resources are used']
[ "morigators also send back an invading muslim force", "morrigators also send back an invading muslim force", "moregators also send back an invading muslim force", "morigators also send back and invading muslim folks", "marigators also send back an invading muslim force" ]
mauregatus also sent back an invading muslim force
morigators also send back an invading muslim force.
morrigators also send back an invading muslim force. moregators also send back an invading muslim force. morigators also send back and invading muslim folks. marigators also send back an invading muslim force.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['morigators also send back an invading muslim force', 'morrigators also send back an invading muslim force', 'moregators also send back an invading muslim force', 'morigators also send back and invading muslim folks', 'marigators also send back an invading muslim force']
[ "another surgical chin augmentation uses the lower prominence of the mandible as the implant", "another surgical chin augmentation uses the lower prominence of the mandible as the implant", "another surgical chin augmentation uses the lower prominence of the mandible as the implant", "another surgical chin augmentation uses the lower prominence of the mandible as the implant", "another surgical chin augmentation uses the lower prominence of the mandible as the implant" ]
another surgical chin augmentation uses the lower prominence of the mandible as the implant
another surgical chin augmentation uses the lower prominence of the mandible as the implant.
another surgical chin augmentation uses the lower prominence of the mandible as the implant. another surgical chin augmentation uses the lower prominence of the mandible as the implant. another surgical chin augmentation uses the lower prominence of the mandible as the implant. another surgical chin augmentation uses the lower prominence of the mandible as the implant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another surgical chin augmentation uses the lower prominence of the mandible as the implant', 'another surgical chin augmentation uses the lower prominence of the mandible as the implant', 'another surgical chin augmentation uses the lower prominence of the mandible as the implant', 'another surgical chin augmentation uses the lower prominence of the mandible as the implant', 'another surgical chin augmentation uses the lower prominence of the mandible as the implant']
[ "the eggs hatch about a month later", "the eggs patch about a month later", "the eggs hatch are about a month later", "the eggs hatched at a month later", "the eggs hatch up at a month later" ]
the eggs hatch about a month later
the eggs hatch about a month later.
the eggs patch about a month later. the eggs hatch are about a month later. the eggs hatched at a month later. the eggs hatch up at a month later.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the eggs hatch about a month later', 'the eggs patch about a month later', 'the eggs hatch are about a month later', 'the eggs hatched at a month later', 'the eggs hatch up at a month later']
[ "this is comparable to the statistics in the surrounding area of peterborough", "this is comparable to the statistics in the surrounding area of piedabar", "this is comparable to the statistics in the surrounding area of pida bay", "this is comparable to the statistics in the surrounding area of pitobar", "this is comparable to the statistics in the surrounding area of pidebar" ]
this is comparable to the statistics in the surrounding area of peterborough
this is comparable to the statistics in the surrounding area of peterborough.
this is comparable to the statistics in the surrounding area of piedabar. this is comparable to the statistics in the surrounding area of pida bay. this is comparable to the statistics in the surrounding area of pitobar. this is comparable to the statistics in the surrounding area of pidebar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is comparable to the statistics in the surrounding area of peterborough', 'this is comparable to the statistics in the surrounding area of piedabar', 'this is comparable to the statistics in the surrounding area of pida bay', 'this is comparable to the statistics in the surrounding area of pitobar', 'this is comparable to the statistics in the surrounding area of pidebar']
[ "tint snow was described as one of the greatest living prognor conductors", "tint snow was described as one of the greatest living fructour conductors", "tint snow was described as one of the greatest living fructenic conductors", "tint snow was described as one of the greatest living prognoc conductors", "tint snow was described as one of the greatest living fructenic conductors" ]
tintner was described as one of the greatest living bruckner conductors
tint snow was described as one of the greatest living prognor conductors.
tint snow was described as one of the greatest living fructour conductors. tint snow was described as one of the greatest living fructenic conductors. tint snow was described as one of the greatest living prognoc conductors. tint snow was described as one of the greatest living fructenic conductors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tint snow was described as one of the greatest living prognor conductors', 'tint snow was described as one of the greatest living fructour conductors', 'tint snow was described as one of the greatest living fructenic conductors', 'tint snow was described as one of the greatest living prognoc conductors', 'tint snow was described as one of the greatest living fructenic conductors']
[ "kavuras is situated in the southeastern part of the etika peninsula", "kavuras is situated in the southeastern part of the atika peninsula", "kavuras is situated in the southeastern part of the etica peninsula", "kavuras is situated in the southeastern part of the etika peninsula", "kavuras is situated in the south eastern part of the etika peninsula" ]
kouvaras is situated in the southeastern part of the attica peninsula
kavuras is situated in the southeastern part of the etika peninsula.
kavuras is situated in the southeastern part of the atika peninsula. kavuras is situated in the southeastern part of the etica peninsula. kavuras is situated in the southeastern part of the etika peninsula. kavuras is situated in the south eastern part of the etika peninsula.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kavuras is situated in the southeastern part of the etika peninsula', 'kavuras is situated in the southeastern part of the atika peninsula', 'kavuras is situated in the southeastern part of the etica peninsula', 'kavuras is situated in the southeastern part of the etika peninsula', 'kavuras is situated in the south eastern part of the etika peninsula']
[ "the product was advertised at the time as a nutritious health food", "the product was advertised at the time as a neutralist health food", "the product was advertised at the time as a neutralized health food", "the product was advertised at the time as a nitrous health food", "the product was advertised at the time as a new traces health food" ]
the product was advertised at the time as a nutritious health food
the product was advertised at the time as a nutritious health food.
the product was advertised at the time as a neutralist health food. the product was advertised at the time as a neutralized health food. the product was advertised at the time as a nitrous health food. the product was advertised at the time as a new traces health food.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the product was advertised at the time as a nutritious health food', 'the product was advertised at the time as a neutralist health food', 'the product was advertised at the time as a neutralized health food', 'the product was advertised at the time as a nitrous health food', 'the product was advertised at the time as a new traces health food']
[ "it defends this account against objections by appeal to a dispositional conception of desire", "it defends this account against objections by appeal to this position and conception of desire", "it defends this account against objections by appeal to a exposition and conception of desire", "it defends this account against objections by appeal to a dispossitional conception of desire", "it defends this account against objections by appeal to a disposable conception of desire" ]
he defends this account against objections by appeal to a dispositional conception of desire
it defends this account against objections by appeal to a dispositional conception of desire.
it defends this account against objections by appeal to this position and conception of desire. it defends this account against objections by appeal to a exposition and conception of desire. it defends this account against objections by appeal to a dispossitional conception of desire. it defends this account against objections by appeal to a disposable conception of desire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it defends this account against objections by appeal to a dispositional conception of desire', 'it defends this account against objections by appeal to this position and conception of desire', 'it defends this account against objections by appeal to a exposition and conception of desire', 'it defends this account against objections by appeal to a dispossitional conception of desire', 'it defends this account against objections by appeal to a disposable conception of desire']
[ "various union groups also lodged their own challenges in the high code", "various union groups also lodged their own challenges in the high code", "various union groups also lodged their own challenges in the high code", "various union groups also lodged their own challenges in the high code", "various union groups also lodged their own challenges in the high coat" ]
various union groups also lodged their own challenge in the high court
various union groups also lodged their own challenges in the high code.
various union groups also lodged their own challenges in the high code. various union groups also lodged their own challenges in the high code. various union groups also lodged their own challenges in the high code. various union groups also lodged their own challenges in the high coat.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['various union groups also lodged their own challenges in the high code', 'various union groups also lodged their own challenges in the high code', 'various union groups also lodged their own challenges in the high code', 'various union groups also lodged their own challenges in the high code', 'various union groups also lodged their own challenges in the high coat']
[ "in two thousand and twenty-seven i will all then have to drive", "in two thousand and twenty-seven i will all the enough to drive", "in two thousand and twenty-seven i will all than have to drive", "in two thousand and twenty-seven i will all then have to drive", "in two thousand and twenty-seven i will old enough to drive" ]
in twenty twenty seven i will old enough to drive
in two thousand and twenty-seven i will all then have to drive.
in two thousand and twenty-seven i will all the enough to drive. in two thousand and twenty-seven i will all than have to drive. in two thousand and twenty-seven i will all then have to drive. in two thousand and twenty-seven i will old enough to drive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in two thousand and twenty-seven i will all then have to drive', 'in two thousand and twenty-seven i will all the enough to drive', 'in two thousand and twenty-seven i will all than have to drive', 'in two thousand and twenty-seven i will all then have to drive', 'in two thousand and twenty-seven i will old enough to drive']
[ "those nerve permanent master of ceremonies", "there is no permanent master of ceremonies", "those nerve permanent masks of ceremonies", "those nerve permanent master of ceremonies", "there was no permanent master of ceremonies" ]
there was no permanent master of ceremonies
those nerve permanent master of ceremonies.
there is no permanent master of ceremonies. those nerve permanent masks of ceremonies. those nerve permanent master of ceremonies. there was no permanent master of ceremonies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['those nerve permanent master of ceremonies', 'there is no permanent master of ceremonies', 'those nerve permanent masks of ceremonies', 'those nerve permanent master of ceremonies', 'there was no permanent master of ceremonies']
[ "both the brilliant fans they approached the band with this remix of the previous record", "both the brilliant fans that approached the band with this remix of the previous record", "both the brilliant fans they approached the band with this remix of the previous record", "both the rillian fans that approached the band with this remix of the previous record", "both the brilliant fans that approached the band with this remix of the previous record" ]
both marillion fans they approached the band with this remix of the previous record
both the brilliant fans they approached the band with this remix of the previous record.
both the brilliant fans that approached the band with this remix of the previous record. both the brilliant fans they approached the band with this remix of the previous record. both the rillian fans that approached the band with this remix of the previous record. both the brilliant fans that approached the band with this remix of the previous record.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both the brilliant fans they approached the band with this remix of the previous record', 'both the brilliant fans that approached the band with this remix of the previous record', 'both the brilliant fans they approached the band with this remix of the previous record', 'both the rillian fans that approached the band with this remix of the previous record', 'both the brilliant fans that approached the band with this remix of the previous record']
[ "by this time sydney returns as charlie is personal manager", "by this time sydney returns as charlie is personal manager", "by this time sidney returns as charlie is personal manager", "by this time sydney returns as charlie is personal manager", "by this time sidney returns as charlie is personal manager" ]
by this time sydney returns as charlie is personal manager
by this time sydney returns as charlie is personal manager.
by this time sydney returns as charlie is personal manager. by this time sidney returns as charlie is personal manager. by this time sydney returns as charlie is personal manager. by this time sidney returns as charlie is personal manager.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by this time sydney returns as charlie is personal manager', 'by this time sydney returns as charlie is personal manager', 'by this time sidney returns as charlie is personal manager', 'by this time sydney returns as charlie is personal manager', 'by this time sidney returns as charlie is personal manager']
[ "a narrow waterway known as the split divides the island in two", "a narrow waterway known as the split divides the island into two", "a narrow waterway known as the split divides the island in two", "a narrow waterway known as the split divides the island into two", "a narrow waterway known as the split divides the island in two" ]
a narrow waterway known as the split divides the island in two
a narrow waterway known as the split divides the island in two.
a narrow waterway known as the split divides the island into two. a narrow waterway known as the split divides the island in two. a narrow waterway known as the split divides the island into two. a narrow waterway known as the split divides the island in two.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a narrow waterway known as the split divides the island in two', 'a narrow waterway known as the split divides the island into two', 'a narrow waterway known as the split divides the island in two', 'a narrow waterway known as the split divides the island into two', 'a narrow waterway known as the split divides the island in two']
[ "giving consistent results is not always equal to giving the correct results", "giving consistent results is not always equal to giving the correct results", "giving consistent results is not always equal to giving the correct results", "giving consistent results is not always equal to giving the correct results", "giving consistent results is not always equal to giving the correct results" ]
giving consistent results is not always equal to giving the correct results
giving consistent results is not always equal to giving the correct results.
giving consistent results is not always equal to giving the correct results. giving consistent results is not always equal to giving the correct results. giving consistent results is not always equal to giving the correct results. giving consistent results is not always equal to giving the correct results.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['giving consistent results is not always equal to giving the correct results', 'giving consistent results is not always equal to giving the correct results', 'giving consistent results is not always equal to giving the correct results', 'giving consistent results is not always equal to giving the correct results', 'giving consistent results is not always equal to giving the correct results']
[ "all magazines are distributed independently of the newspaper", "all magazines are distributed independently of the newspaper", "all the magazines are distributed independently of the newspaper", "all magazines are distributed independently of the newspaper", "all magazines are distributed independently of the newspaper" ]
all magazines are distributed independently of the newspaper
all magazines are distributed independently of the newspaper.
all magazines are distributed independently of the newspaper. all the magazines are distributed independently of the newspaper. all magazines are distributed independently of the newspaper. all magazines are distributed independently of the newspaper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all magazines are distributed independently of the newspaper', 'all magazines are distributed independently of the newspaper', 'all the magazines are distributed independently of the newspaper', 'all magazines are distributed independently of the newspaper', 'all magazines are distributed independently of the newspaper']