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[ "the older part of the building is not air conditioned", "the older part of the building is not air conditioned", "the older part of the building is not air conditioned", "the older part of the building is not air conditioned", "the older part of the building is not air conditioned" ]
the older part of the building is not air conditioned
the older part of the building is not air conditioned.
the older part of the building is not air conditioned. the older part of the building is not air conditioned. the older part of the building is not air conditioned. the older part of the building is not air conditioned.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the older part of the building is not air conditioned', 'the older part of the building is not air conditioned', 'the older part of the building is not air conditioned', 'the older part of the building is not air conditioned', 'the older part of the building is not air conditioned']
[ "he initially intended the band to have two singers", "he initially intended the band to have two singers", "he initially intended the band to have toosings", "he initially intended the band to have to sing his", "he initially intended the band to have two singers" ]
he initially intended the band to have two singers
he initially intended the band to have two singers.
he initially intended the band to have two singers. he initially intended the band to have toosings. he initially intended the band to have to sing his. he initially intended the band to have two singers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he initially intended the band to have two singers', 'he initially intended the band to have two singers', 'he initially intended the band to have toosings', 'he initially intended the band to have to sing his', 'he initially intended the band to have two singers']
[ "it borders hidebox sandhurst and kregalberg", "it borders hidebox sandhurst and kregelberg", "it borders heidbach sandhurst and kregalberg", "it borders hidebox sandhurst and kregalberg", "it borders heidbach sandhurst and kregolberg" ]
it borders hyde park sandhurst and craighall park
it borders hidebox sandhurst and kregalberg.
it borders hidebox sandhurst and kregelberg. it borders heidbach sandhurst and kregalberg. it borders hidebox sandhurst and kregalberg. it borders heidbach sandhurst and kregolberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it borders hidebox sandhurst and kregalberg', 'it borders hidebox sandhurst and kregelberg', 'it borders heidbach sandhurst and kregalberg', 'it borders hidebox sandhurst and kregalberg', 'it borders heidbach sandhurst and kregolberg']
[ "the light entertainment was quite similar in turn too that is life", "the light entertainment was quite similar in turn too that is life", "the light entertainment was quite similar in turn too that is life", "the light entertainment was quite similar in turn to that is life", "the light entertainment was quite similar in turn too that is life" ]
the light entertainment was quite similar in tone to that is life
the light entertainment was quite similar in turn too that is life.
the light entertainment was quite similar in turn too that is life. the light entertainment was quite similar in turn too that is life. the light entertainment was quite similar in turn to that is life. the light entertainment was quite similar in turn too that is life.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the light entertainment was quite similar in turn too that is life', 'the light entertainment was quite similar in turn too that is life', 'the light entertainment was quite similar in turn too that is life', 'the light entertainment was quite similar in turn to that is life', 'the light entertainment was quite similar in turn too that is life']
[ "the school was part of the hal public school district", "the school was part of the howl public school district", "the school was part of the hal public school district", "the school was part of the hal public school district", "the school was part of the hal public school district" ]
the school was part of the howell public school district
the school was part of the hal public school district.
the school was part of the howl public school district. the school was part of the hal public school district. the school was part of the hal public school district. the school was part of the hal public school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the school was part of the hal public school district', 'the school was part of the howl public school district', 'the school was part of the hal public school district', 'the school was part of the hal public school district', 'the school was part of the hal public school district']
[ "at the time the basin was part of the disputed oregon country", "at the time the basin was part of the disputed oregon country", "at the time the basin was part of the disputed oregon country", "at the time the basin was part of the disputed oregon country", "at the time the basin was part of the disputed oregon country" ]
at the time the basin was part of the disputed oregon country
at the time the basin was part of the disputed oregon country.
at the time the basin was part of the disputed oregon country. at the time the basin was part of the disputed oregon country. at the time the basin was part of the disputed oregon country. at the time the basin was part of the disputed oregon country.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at the time the basin was part of the disputed oregon country', 'at the time the basin was part of the disputed oregon country', 'at the time the basin was part of the disputed oregon country', 'at the time the basin was part of the disputed oregon country', 'at the time the basin was part of the disputed oregon country']
[ "initious family came from a small town outside of rome", "initiates family came from a small town outside of rome", "initiates family game from a small town outside of rome", "initius family came from a small town outside of rome", "initious family came from a small town outside of rome" ]
vinicius family came from a small town outside of rome
initious family came from a small town outside of rome.
initiates family came from a small town outside of rome. initiates family game from a small town outside of rome. initius family came from a small town outside of rome. initious family came from a small town outside of rome.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['initious family came from a small town outside of rome', 'initiates family came from a small town outside of rome', 'initiates family game from a small town outside of rome', 'initius family came from a small town outside of rome', 'initious family came from a small town outside of rome']
[ "hall commanded many vessels involved in exploration and scientific and diplomatic missions", "whole commanded many vessels involved in exploration and scientific and diplomatic missions", "whole commanded many vessels involved in exploration and scientific and diplomatic missions", "the whole commanded many vessels involved in exploration and scientific and diplomatic missions", "hall commanded many vessels involved in exploration and scientific and diplomatic missions" ]
hall commanded many vessels involved in exploration and scientific and diplomatic missions
hall commanded many vessels involved in exploration and scientific and diplomatic missions.
whole commanded many vessels involved in exploration and scientific and diplomatic missions. whole commanded many vessels involved in exploration and scientific and diplomatic missions. the whole commanded many vessels involved in exploration and scientific and diplomatic missions. hall commanded many vessels involved in exploration and scientific and diplomatic missions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hall commanded many vessels involved in exploration and scientific and diplomatic missions', 'whole commanded many vessels involved in exploration and scientific and diplomatic missions', 'whole commanded many vessels involved in exploration and scientific and diplomatic missions', 'the whole commanded many vessels involved in exploration and scientific and diplomatic missions', 'hall commanded many vessels involved in exploration and scientific and diplomatic missions']
[ "some of the notable teachers there were pendetta java and anthony burgers", "some of the notable teachers there were pendetta jabba and anthony burgers", "some of the notable teachers there were pentated java and anthony burgers", "some of the notable teachers there were pentator jabba and anthony burgers", "some of the notable teachers there were pentate jabba and anthony burgers" ]
some of the notable teachers there were pendeta za ba and anthony burgess
some of the notable teachers there were pendetta java and anthony burgers.
some of the notable teachers there were pendetta jabba and anthony burgers. some of the notable teachers there were pentated java and anthony burgers. some of the notable teachers there were pentator jabba and anthony burgers. some of the notable teachers there were pentate jabba and anthony burgers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some of the notable teachers there were pendetta java and anthony burgers', 'some of the notable teachers there were pendetta jabba and anthony burgers', 'some of the notable teachers there were pentated java and anthony burgers', 'some of the notable teachers there were pentator jabba and anthony burgers', 'some of the notable teachers there were pentate jabba and anthony burgers']
[ "association is based in paris france", "is based in paris france", "the association is based in paris france", "based in paris france", "is based in paris france" ]
the association is based in paris france
association is based in paris france.
is based in paris france. the association is based in paris france. based in paris france. is based in paris france.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['association is based in paris france', 'is based in paris france', 'the association is based in paris france', 'based in paris france', 'is based in paris france']
[ "to read about the background of these events see history of france", "to read about the background of these events see history of france", "to read about the background of these events see history of france", "to read about the background of this events see history of france", "to read about the background of these events see history of france" ]
to read about the background to these events see history of france
to read about the background of these events see history of france.
to read about the background of these events see history of france. to read about the background of these events see history of france. to read about the background of this events see history of france. to read about the background of these events see history of france.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to read about the background of these events see history of france', 'to read about the background of these events see history of france', 'to read about the background of these events see history of france', 'to read about the background of this events see history of france', 'to read about the background of these events see history of france']
[ "he later became an odd dealer", "he later became an aunt dealer", "he later became an aunt deela", "he later became an art dealer", "he later became an aunt deela" ]
he later became an art dealer
he later became an odd dealer.
he later became an aunt dealer. he later became an aunt deela. he later became an art dealer. he later became an aunt deela.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he later became an odd dealer', 'he later became an aunt dealer', 'he later became an aunt deela', 'he later became an art dealer', 'he later became an aunt deela']
[ "in olympic rules the measurement used was the longest of three tries", "in olympic rules the measurement used was the longest of three tries", "in olympic rules the measurement used was the longest of three tries", "in olympic rules the measurement used was the longest of three tries", "in olympic rules the measurement used was the longest of three tries" ]
in olympic rules the measurement used was the longest of three tries
in olympic rules the measurement used was the longest of three tries.
in olympic rules the measurement used was the longest of three tries. in olympic rules the measurement used was the longest of three tries. in olympic rules the measurement used was the longest of three tries. in olympic rules the measurement used was the longest of three tries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in olympic rules the measurement used was the longest of three tries', 'in olympic rules the measurement used was the longest of three tries', 'in olympic rules the measurement used was the longest of three tries', 'in olympic rules the measurement used was the longest of three tries', 'in olympic rules the measurement used was the longest of three tries']
[ "however the eye is one major difference", "however the ice one major difference", "however the eyes want major difference", "however there is one major difference", "however the ice is one major difference" ]
however there is one major difference
however the eye is one major difference.
however the ice one major difference. however the eyes want major difference. however there is one major difference. however the ice is one major difference.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the eye is one major difference', 'however the ice one major difference', 'however the eyes want major difference', 'however there is one major difference', 'however the ice is one major difference']
[ "it was a good thought", "it was a good thought", "it was a good thought", "it was a good thought", "it was a good thought" ]
it was a good thought
it was a good thought.
it was a good thought. it was a good thought. it was a good thought. it was a good thought.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a good thought', 'it was a good thought', 'it was a good thought', 'it was a good thought', 'it was a good thought']
[ "a little boy is playing with yellow shovel in front of the christmas tree", "a little boy is playing with the yellow shovel in front of the christmas tree", "a little boy is playing with a yellow shovel in front of the christmas tree", "a little boys playing with yellow shovel in front of the christmas tree", "a little boys playing with the yellow shovel in front of the christmas tree" ]
a little boy is playing with a yellow shovel in front of a christmas tree
a little boy is playing with yellow shovel in front of the christmas tree.
a little boy is playing with the yellow shovel in front of the christmas tree. a little boy is playing with a yellow shovel in front of the christmas tree. a little boys playing with yellow shovel in front of the christmas tree. a little boys playing with the yellow shovel in front of the christmas tree.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a little boy is playing with yellow shovel in front of the christmas tree', 'a little boy is playing with the yellow shovel in front of the christmas tree', 'a little boy is playing with a yellow shovel in front of the christmas tree', 'a little boys playing with yellow shovel in front of the christmas tree', 'a little boys playing with the yellow shovel in front of the christmas tree']
[ "we are leaving in half an hour", "we live in half an hour", "believe in half an hour", "we leave you in half an hour", "believing in half an hour" ]
we re leaving in half an hour
we are leaving in half an hour.
we live in half an hour. believe in half an hour. we leave you in half an hour. believing in half an hour.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are leaving in half an hour', 'we live in half an hour', 'believe in half an hour', 'we leave you in half an hour', 'believing in half an hour']
[ "initial feature film sales focused on selling to the networks", "initial feature film sales focused on selling to the networks", "initial feature film sales focused on selling to the networks", "initial feature film sales focused on selling to the networks", "initial feature film sales focused on selling to the networks" ]
initial feature film sales focused on selling to the networks
initial feature film sales focused on selling to the networks.
initial feature film sales focused on selling to the networks. initial feature film sales focused on selling to the networks. initial feature film sales focused on selling to the networks. initial feature film sales focused on selling to the networks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['initial feature film sales focused on selling to the networks', 'initial feature film sales focused on selling to the networks', 'initial feature film sales focused on selling to the networks', 'initial feature film sales focused on selling to the networks', 'initial feature film sales focused on selling to the networks']
[ "his title is named after the river deben", "his title is named after the river deben", "his title is named after the river devon", "his title is named after the ribbon", "his title is named after the reberdebin" ]
his title is named after the river deben
his title is named after the river deben.
his title is named after the river deben. his title is named after the river devon. his title is named after the ribbon. his title is named after the reberdebin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his title is named after the river deben', 'his title is named after the river deben', 'his title is named after the river devon', 'his title is named after the ribbon', 'his title is named after the reberdebin']
[ "there is no official term", "there is no official term", "there is no official term", "there is no official charm", "there is no official term" ]
there is no official term
there is no official term.
there is no official term. there is no official term. there is no official charm. there is no official term.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is no official term', 'there is no official term', 'there is no official term', 'there is no official charm', 'there is no official term']
[ "they typically work for a bunch of time monasteries though they occasionally took secular commissions", "they typically work for a bandic time monasteries though they occasionally took secular commissions", "they typically work for a band of time monasteries though they occasionally took secular commissions", "they typically work for a bentic time monasteries though they occasionally took secular commissions", "they typically work for a bunch of time monasteries though they occasionally took secular commissions" ]
they typically worked for benedictine monasteries though they occasionally took secular commissions
they typically work for a bunch of time monasteries though they occasionally took secular commissions.
they typically work for a bandic time monasteries though they occasionally took secular commissions. they typically work for a band of time monasteries though they occasionally took secular commissions. they typically work for a bentic time monasteries though they occasionally took secular commissions. they typically work for a bunch of time monasteries though they occasionally took secular commissions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they typically work for a bunch of time monasteries though they occasionally took secular commissions', 'they typically work for a bandic time monasteries though they occasionally took secular commissions', 'they typically work for a band of time monasteries though they occasionally took secular commissions', 'they typically work for a bentic time monasteries though they occasionally took secular commissions', 'they typically work for a bunch of time monasteries though they occasionally took secular commissions']
[ "his principles of physical geology ended with a chapter on continental drift", "his principles of physical geology ended with a chapter on continental drift", "his principles of physical geology ended with a chapter on continental drift", "his principles of physical geology ended with a chapter on continental drift", "his principles of physical geology ended with a chapter on continental drift" ]
his principles of physical geology ended with a chapter on continental drift
his principles of physical geology ended with a chapter on continental drift.
his principles of physical geology ended with a chapter on continental drift. his principles of physical geology ended with a chapter on continental drift. his principles of physical geology ended with a chapter on continental drift. his principles of physical geology ended with a chapter on continental drift.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his principles of physical geology ended with a chapter on continental drift', 'his principles of physical geology ended with a chapter on continental drift', 'his principles of physical geology ended with a chapter on continental drift', 'his principles of physical geology ended with a chapter on continental drift', 'his principles of physical geology ended with a chapter on continental drift']
[ "led by these three individuals the organization continued to grow in membership", "that by these three individuals the organization continue to grow in membership", "that by these three individuals the organization continued to grow in membership", "led by these three individuals the organization continue to grow in membership", "that by these three individuals the organization continues to grow in membership" ]
led by these three individuals the organization continued to grow in membership
led by these three individuals the organization continued to grow in membership.
that by these three individuals the organization continue to grow in membership. that by these three individuals the organization continued to grow in membership. led by these three individuals the organization continue to grow in membership. that by these three individuals the organization continues to grow in membership.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['led by these three individuals the organization continued to grow in membership', 'that by these three individuals the organization continue to grow in membership', 'that by these three individuals the organization continued to grow in membership', 'led by these three individuals the organization continue to grow in membership', 'that by these three individuals the organization continues to grow in membership']
[ "tom lewis and pam is performed there among others", "tom lewis and pam ares perform there among others", "tom lewis and pam is performing there among others", "tom lewis and pam ares performed there among others", "tom lewis and pam is performed there among others" ]
tom lewis and pam ayres performed there among others
tom lewis and pam is performed there among others.
tom lewis and pam ares perform there among others. tom lewis and pam is performing there among others. tom lewis and pam ares performed there among others. tom lewis and pam is performed there among others.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tom lewis and pam is performed there among others', 'tom lewis and pam ares perform there among others', 'tom lewis and pam is performing there among others', 'tom lewis and pam ares performed there among others', 'tom lewis and pam is performed there among others']
[ "the sign was analyzed and removed before being replaced", "the sign has been analyzed and removed before being replaced", "the sign was finalized and removed before being replaced", "the sign must be analyzed and removed before being replaced", "the sign was analyzed and removed before being replaced" ]
the sign was vandalized and removed before being replaced
the sign was analyzed and removed before being replaced.
the sign has been analyzed and removed before being replaced. the sign was finalized and removed before being replaced. the sign must be analyzed and removed before being replaced. the sign was analyzed and removed before being replaced.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sign was analyzed and removed before being replaced', 'the sign has been analyzed and removed before being replaced', 'the sign was finalized and removed before being replaced', 'the sign must be analyzed and removed before being replaced', 'the sign was analyzed and removed before being replaced']
[ "there are also the remnants of lime kills", "there are also the remnants of lime keels", "there are also the remnants of lime keels", "there are also the remnants of lime kills", "there are also the remnants of lime kills" ]
there are also the remnants of lime kilns
there are also the remnants of lime kills.
there are also the remnants of lime keels. there are also the remnants of lime keels. there are also the remnants of lime kills. there are also the remnants of lime kills.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are also the remnants of lime kills', 'there are also the remnants of lime keels', 'there are also the remnants of lime keels', 'there are also the remnants of lime kills', 'there are also the remnants of lime kills']
[ "an average floater has of positive buoyancy in fresh water", "an average floater has of positive buoyancy in fresh water", "an average floater has of positive buoyancy in fresh water", "an average floater has of positive buoyancy in freshwater", "an average floater has of positive buoyancy in fresh water" ]
an average floater has of positive buoyancy in fresh water
an average floater has of positive buoyancy in fresh water.
an average floater has of positive buoyancy in fresh water. an average floater has of positive buoyancy in fresh water. an average floater has of positive buoyancy in freshwater. an average floater has of positive buoyancy in fresh water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an average floater has of positive buoyancy in fresh water', 'an average floater has of positive buoyancy in fresh water', 'an average floater has of positive buoyancy in fresh water', 'an average floater has of positive buoyancy in freshwater', 'an average floater has of positive buoyancy in fresh water']
[ "the codes are assigned in bulgarian alphabetical order", "the codes are assigned in bulgaria and alphabetical order", "the codes are assigned in bulgarian alphabetical order", "the codes are assigned in bulgaria and alphabetical order", "the codes are assigned in bulgaria and alphabetical order" ]
the codes are assigned in bulgarian alphabetical order
the codes are assigned in bulgarian alphabetical order.
the codes are assigned in bulgaria and alphabetical order. the codes are assigned in bulgarian alphabetical order. the codes are assigned in bulgaria and alphabetical order. the codes are assigned in bulgaria and alphabetical order.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the codes are assigned in bulgarian alphabetical order', 'the codes are assigned in bulgaria and alphabetical order', 'the codes are assigned in bulgarian alphabetical order', 'the codes are assigned in bulgaria and alphabetical order', 'the codes are assigned in bulgaria and alphabetical order']
[ "later the comedian jenny eclay was a presenter", "later the comedian jenny eclay was the presenter", "later the comedian jenny eclah was a presenter", "later the comedian jennie eclay was a presenter", "later the comedian jennie eclay was the presenter" ]
later the comedian jenny eclair was the presenter
later the comedian jenny eclay was a presenter.
later the comedian jenny eclay was the presenter. later the comedian jenny eclah was a presenter. later the comedian jennie eclay was a presenter. later the comedian jennie eclay was the presenter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later the comedian jenny eclay was a presenter', 'later the comedian jenny eclay was the presenter', 'later the comedian jenny eclah was a presenter', 'later the comedian jennie eclay was a presenter', 'later the comedian jennie eclay was the presenter']
[ "deridia interpreted this event as the centering of the former intellectual cosmos", "deridia interpreted this event as a de centering of the former intellectual cosmos", "deridya interpreted this event as the centering of the former intellectual cosmos", "deridia interpreted this event as the center of the former intellectual cosmos", "deridya interpreted this event as a de centering of the former intellectual cosmos" ]
derrida interpreted this event as a decentering of the former intellectual cosmos
deridia interpreted this event as the centering of the former intellectual cosmos.
deridia interpreted this event as a de centering of the former intellectual cosmos. deridya interpreted this event as the centering of the former intellectual cosmos. deridia interpreted this event as the center of the former intellectual cosmos. deridya interpreted this event as a de centering of the former intellectual cosmos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['deridia interpreted this event as the centering of the former intellectual cosmos', 'deridia interpreted this event as a de centering of the former intellectual cosmos', 'deridya interpreted this event as the centering of the former intellectual cosmos', 'deridia interpreted this event as the center of the former intellectual cosmos', 'deridya interpreted this event as a de centering of the former intellectual cosmos']
[ "it was so much more interesting", "it was so much more interesting", "it was so much more interesting", "it was so much more interesting", "and it was so much more interesting" ]
it was so much more interesting
it was so much more interesting.
it was so much more interesting. it was so much more interesting. it was so much more interesting. and it was so much more interesting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was so much more interesting', 'it was so much more interesting', 'it was so much more interesting', 'it was so much more interesting', 'and it was so much more interesting']
[ "well because you are so clean", "well because you are so clean", "well because you are so clean", "well because you are so clean", "well because you are so clean" ]
well because you are so clean
well because you are so clean.
well because you are so clean. well because you are so clean. well because you are so clean. well because you are so clean.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['well because you are so clean', 'well because you are so clean', 'well because you are so clean', 'well because you are so clean', 'well because you are so clean']
[ "this enterprise was later relocated to strong on tasmania is west coast", "this enterprise was later relocated to strong on tasmania is west coast", "this enterprise was later relocated to strong on tasmania is west coast", "this enterprise was later relocated to strong on tasmania is west coast", "this enterprise was later relocated to strawn on tasmania is west coast" ]
this enterprise was later relocated to strahan on tasmania is west coast
this enterprise was later relocated to strong on tasmania is west coast.
this enterprise was later relocated to strong on tasmania is west coast. this enterprise was later relocated to strong on tasmania is west coast. this enterprise was later relocated to strong on tasmania is west coast. this enterprise was later relocated to strawn on tasmania is west coast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this enterprise was later relocated to strong on tasmania is west coast', 'this enterprise was later relocated to strong on tasmania is west coast', 'this enterprise was later relocated to strong on tasmania is west coast', 'this enterprise was later relocated to strong on tasmania is west coast', 'this enterprise was later relocated to strawn on tasmania is west coast']
[ "in the courtyard was a large well and deep cut into the underlying sandstone", "in the courtyard was a large well and deep cut into the underlying sandstone", "in the courtyard with a large well and deep cut into the underlying sandstone", "in the courtyard with a large well and deep cut into the underlying sandstone", "in the courtyard was a large well and deep cut into the underlying sandstone" ]
in the courtyard was a large well and deep cut into the underlying sandstone
in the courtyard was a large well and deep cut into the underlying sandstone.
in the courtyard was a large well and deep cut into the underlying sandstone. in the courtyard with a large well and deep cut into the underlying sandstone. in the courtyard with a large well and deep cut into the underlying sandstone. in the courtyard was a large well and deep cut into the underlying sandstone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the courtyard was a large well and deep cut into the underlying sandstone', 'in the courtyard was a large well and deep cut into the underlying sandstone', 'in the courtyard with a large well and deep cut into the underlying sandstone', 'in the courtyard with a large well and deep cut into the underlying sandstone', 'in the courtyard was a large well and deep cut into the underlying sandstone']
[ "a group of bushy haired people are walking down a rainy sidewalk", "a group of bushy heared people are walking down a rainy sidewalk", "a group of bushy head people are walking down a rainy sidewalk", "a group of bushy heared people are walking down a rainy sidewalk", "a group of bushy heared people are walking down a rainy sidewalk" ]
a group of bushy haired people are walking down a rainy sidewalk
a group of bushy haired people are walking down a rainy sidewalk.
a group of bushy heared people are walking down a rainy sidewalk. a group of bushy head people are walking down a rainy sidewalk. a group of bushy heared people are walking down a rainy sidewalk. a group of bushy heared people are walking down a rainy sidewalk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a group of bushy haired people are walking down a rainy sidewalk', 'a group of bushy heared people are walking down a rainy sidewalk', 'a group of bushy head people are walking down a rainy sidewalk', 'a group of bushy heared people are walking down a rainy sidewalk', 'a group of bushy heared people are walking down a rainy sidewalk']
[ "but self though it would include could not end ros her", "but self though it would intrude could not end ros her", "but self though it would intrude could not endros her", "but self though it would intrude could not entrust her", "but self though it would include could not endorse her" ]
but self though it would intrude could not engross her
but self though it would include could not end ros her.
but self though it would intrude could not end ros her. but self though it would intrude could not endros her. but self though it would intrude could not entrust her. but self though it would include could not endorse her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but self though it would include could not end ros her', 'but self though it would intrude could not end ros her', 'but self though it would intrude could not endros her', 'but self though it would intrude could not entrust her', 'but self though it would include could not endorse her']
[ "the site is currently maintained as a fork", "the site is currently maintained as a park", "the site is currently maintained as a park", "the sight is currently maintained as a fork", "the site is currently maintained as a fork" ]
the site is currently maintained as a park
the site is currently maintained as a fork.
the site is currently maintained as a park. the site is currently maintained as a park. the sight is currently maintained as a fork. the site is currently maintained as a fork.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the site is currently maintained as a fork', 'the site is currently maintained as a park', 'the site is currently maintained as a park', 'the sight is currently maintained as a fork', 'the site is currently maintained as a fork']
[ "it was this exemption that the lancashire manufacturers exploited", "it was this exemption that the lancashire manufacturer is exploited", "it was this exemption that the lancashire manufacturer is exploited", "it was this exemption that the lancashire manufacturer exploited", "it was this exemption that the lancashire manufacturer is exploited" ]
it was this exemption that the lancashire manufacturers exploited
it was this exemption that the lancashire manufacturers exploited.
it was this exemption that the lancashire manufacturer is exploited. it was this exemption that the lancashire manufacturer is exploited. it was this exemption that the lancashire manufacturer exploited. it was this exemption that the lancashire manufacturer is exploited.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was this exemption that the lancashire manufacturers exploited', 'it was this exemption that the lancashire manufacturer is exploited', 'it was this exemption that the lancashire manufacturer is exploited', 'it was this exemption that the lancashire manufacturer exploited', 'it was this exemption that the lancashire manufacturer is exploited']
[ "most stores in canada had an in store restaurant section", "most stores in canada had an install restaurant section", "most stores in canada had an in store restaurant section", "most stores in canada had an in store restaurant section", "most stores in canada had an in store restaurant section" ]
most stores in canada had an in store restaurant section
most stores in canada had an in store restaurant section.
most stores in canada had an install restaurant section. most stores in canada had an in store restaurant section. most stores in canada had an in store restaurant section. most stores in canada had an in store restaurant section.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most stores in canada had an in store restaurant section', 'most stores in canada had an install restaurant section', 'most stores in canada had an in store restaurant section', 'most stores in canada had an in store restaurant section', 'most stores in canada had an in store restaurant section']
[ "we are loyal and pro", "we are lawyer and pro", "we are loyal and pro", "we are loyal and broke", "we are lawyer and pro" ]
we are loyal and true
we are loyal and pro.
we are lawyer and pro. we are loyal and pro. we are loyal and broke. we are lawyer and pro.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are loyal and pro', 'we are lawyer and pro', 'we are loyal and pro', 'we are loyal and broke', 'we are lawyer and pro']
[ "bans and co merged with king and suns thus forming king and bans", "bans and co merged with king and sons thus forming king and bans", "bands co merged with king sons thus forming king bands", "bands and co merged with king and suns thus forming king and bands", "bands and co merged with king and sons thus forming king and bands" ]
barnes and co merged with king sons thus forming king and barnes
bans and co merged with king and suns thus forming king and bans.
bans and co merged with king and sons thus forming king and bans. bands co merged with king sons thus forming king bands. bands and co merged with king and suns thus forming king and bands. bands and co merged with king and sons thus forming king and bands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bans and co merged with king and suns thus forming king and bans', 'bans and co merged with king and sons thus forming king and bans', 'bands co merged with king sons thus forming king bands', 'bands and co merged with king and suns thus forming king and bands', 'bands and co merged with king and sons thus forming king and bands']
[ "he sent the boy on a short errand", "he sent a boy on a short errand", "he sent the boy on the short errand", "he sent a boy on a short errand", "he sent a boy on a short errand" ]
he sent the boy on a short errand
he sent the boy on a short errand.
he sent a boy on a short errand. he sent the boy on the short errand. he sent a boy on a short errand. he sent a boy on a short errand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he sent the boy on a short errand', 'he sent a boy on a short errand', 'he sent the boy on the short errand', 'he sent a boy on a short errand', 'he sent a boy on a short errand']
[ "mejuri is a city rich in nature located on the scenic mejuri bay", "meijuri is a city rich in nature located on the scenic meijuri bay", "mezuri is a city rich in nature located on the scenic mezuri bay", "meizuri is a city rich in nature located on the scenic meizuri bay", "mejury is a city rich in nature located on the scenic mejury bay" ]
maizuru is a city rich in nature located on the scenic maizuru bay
mejuri is a city rich in nature located on the scenic mejuri bay.
meijuri is a city rich in nature located on the scenic meijuri bay. mezuri is a city rich in nature located on the scenic mezuri bay. meizuri is a city rich in nature located on the scenic meizuri bay. mejury is a city rich in nature located on the scenic mejury bay.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mejuri is a city rich in nature located on the scenic mejuri bay', 'meijuri is a city rich in nature located on the scenic meijuri bay', 'mezuri is a city rich in nature located on the scenic mezuri bay', 'meizuri is a city rich in nature located on the scenic meizuri bay', 'mejury is a city rich in nature located on the scenic mejury bay']
[ "for the first few years the population actually declined", "for the first few years the population actually declined", "for the first few years the population actually declined", "for the first few years the population actually declined", "for the first few years the population actually declined" ]
for the first few years the population actually declined
for the first few years the population actually declined.
for the first few years the population actually declined. for the first few years the population actually declined. for the first few years the population actually declined. for the first few years the population actually declined.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the first few years the population actually declined', 'for the first few years the population actually declined', 'for the first few years the population actually declined', 'for the first few years the population actually declined', 'for the first few years the population actually declined']
[ "it enables the stations to broadcast their local news in high definition", "it enables the stations to broadcast their local news in high definition", "it enables the stations to broadcast their local news in high definition", "it enables the stations to broadcast their local news in high definition", "it enables the stations to broadcast their local news in high definition" ]
it enables the stations to broadcast their local news in high definition
it enables the stations to broadcast their local news in high definition.
it enables the stations to broadcast their local news in high definition. it enables the stations to broadcast their local news in high definition. it enables the stations to broadcast their local news in high definition. it enables the stations to broadcast their local news in high definition.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it enables the stations to broadcast their local news in high definition', 'it enables the stations to broadcast their local news in high definition', 'it enables the stations to broadcast their local news in high definition', 'it enables the stations to broadcast their local news in high definition', 'it enables the stations to broadcast their local news in high definition']
[ "nick robinson was announced as naughty replacement", "nick robinson was announced as naughties of replacement", "nick robinson was announced as not to use replacement", "nick robinson was announced as northeast replacement", "nick robinson was announced as notty is replacement" ]
two days later nick robinson was announced as naughtie is replacement
nick robinson was announced as naughty replacement.
nick robinson was announced as naughties of replacement. nick robinson was announced as not to use replacement. nick robinson was announced as northeast replacement. nick robinson was announced as notty is replacement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nick robinson was announced as naughty replacement', 'nick robinson was announced as naughties of replacement', 'nick robinson was announced as not to use replacement', 'nick robinson was announced as northeast replacement', 'nick robinson was announced as notty is replacement']
[ "on average it is forty-eight feet in height", "on average it is four eight feet in height", "on average it is forty-eight feet in height", "on average it is forty-eight feet in height", "on average it is four eight feet in height" ]
on average each is four to eight feet in height
on average it is forty-eight feet in height.
on average it is four eight feet in height. on average it is forty-eight feet in height. on average it is forty-eight feet in height. on average it is four eight feet in height.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on average it is forty-eight feet in height', 'on average it is four eight feet in height', 'on average it is forty-eight feet in height', 'on average it is forty-eight feet in height', 'on average it is four eight feet in height']
[ "this organization was called mutual mediations", "this organization was called mutual mediations", "this organization was called mutual mediation", "this organization was called mutual mediations", "this organization was called mutual mediation" ]
this organization was called mutual mediations
this organization was called mutual mediations.
this organization was called mutual mediations. this organization was called mutual mediation. this organization was called mutual mediations. this organization was called mutual mediation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this organization was called mutual mediations', 'this organization was called mutual mediations', 'this organization was called mutual mediation', 'this organization was called mutual mediations', 'this organization was called mutual mediation']
[ "mccann was born in dublin county dublin", "mccann was born in dublin county dublin", "mccann was born in dublin county dublin", "mccann was born in dublin county dublin", "mccann was born in dublin county dublin" ]
mccann was born in dublin county dublin
mccann was born in dublin county dublin.
mccann was born in dublin county dublin. mccann was born in dublin county dublin. mccann was born in dublin county dublin. mccann was born in dublin county dublin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mccann was born in dublin county dublin', 'mccann was born in dublin county dublin', 'mccann was born in dublin county dublin', 'mccann was born in dublin county dublin', 'mccann was born in dublin county dublin']
[ "zella is known for using salty language in the newsroom", "zellat is known for using salty language in the newsroom", "zellet is known for using salty language in the newsroom", "zalla is known for using salty language in the newsroom", "zellett is known for using salty language in the newsroom" ]
zell is known for using salty language in the newsroom
zella is known for using salty language in the newsroom.
zellat is known for using salty language in the newsroom. zellet is known for using salty language in the newsroom. zalla is known for using salty language in the newsroom. zellett is known for using salty language in the newsroom.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['zella is known for using salty language in the newsroom', 'zellat is known for using salty language in the newsroom', 'zellet is known for using salty language in the newsroom', 'zalla is known for using salty language in the newsroom', 'zellett is known for using salty language in the newsroom']
[ "sheja is married with five children", "sheeja is married with five children", "shisha is married with five children", "teacher is married with five children", "cheetah is married with five children" ]
shija is married with five children
sheja is married with five children.
sheeja is married with five children. shisha is married with five children. teacher is married with five children. cheetah is married with five children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sheja is married with five children', 'sheeja is married with five children', 'shisha is married with five children', 'teacher is married with five children', 'cheetah is married with five children']
[ "he became a feature playable character in the wondrous one color game now co super walls", "he became a feature playable character in the wondrous one color game now co super wars", "he became a feature playable character in the wonders one color game now co super walls", "he became a feature playable character in the wondrous one color game now co super wars", "he became a feature playable character in the wondrous one colorgame now co super walls" ]
he became a featured playable character in the wonderswan color game namco super wars
he became a feature playable character in the wondrous one color game now co super walls.
he became a feature playable character in the wondrous one color game now co super wars. he became a feature playable character in the wonders one color game now co super walls. he became a feature playable character in the wondrous one color game now co super wars. he became a feature playable character in the wondrous one colorgame now co super walls.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he became a feature playable character in the wondrous one color game now co super walls', 'he became a feature playable character in the wondrous one color game now co super wars', 'he became a feature playable character in the wonders one color game now co super walls', 'he became a feature playable character in the wondrous one color game now co super wars', 'he became a feature playable character in the wondrous one colorgame now co super walls']
[ "she covered five more landings", "she covered fine more landings", "she covered fine moor landings", "she covered five more landings", "she covered fine more landings" ]
she covered five more landings
she covered five more landings.
she covered fine more landings. she covered fine moor landings. she covered five more landings. she covered fine more landings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she covered five more landings', 'she covered fine more landings', 'she covered fine moor landings', 'she covered five more landings', 'she covered fine more landings']
[ "clamcakes and cradcakes are varieties of fritter", "clam cakes and crad cakes are varieties of fritter", "clan kicks and krat kicks are varieties of fritter", "clan kicks and krat kicks are varieties of fritter", "clan kicks and crad kicks are varieties of fritter" ]
clam cakes and crab cakes are varieties of fritter
clamcakes and cradcakes are varieties of fritter.
clam cakes and crad cakes are varieties of fritter. clan kicks and krat kicks are varieties of fritter. clan kicks and krat kicks are varieties of fritter. clan kicks and crad kicks are varieties of fritter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clamcakes and cradcakes are varieties of fritter', 'clam cakes and crad cakes are varieties of fritter', 'clan kicks and krat kicks are varieties of fritter', 'clan kicks and krat kicks are varieties of fritter', 'clan kicks and crad kicks are varieties of fritter']
[ "this this is is associated with eric evelop who site is pairing", "this this is associated with eric evelop who site is pairing", "this is associated with eric evelop who site is pairing", "this this is is associated with eric haveler who site is pairing", "this this is is associated with eric evelop who site is pairing" ]
this thesis is associated with eric havelock who cites parry
this this is is associated with eric evelop who site is pairing.
this this is associated with eric evelop who site is pairing. this is associated with eric evelop who site is pairing. this this is is associated with eric haveler who site is pairing. this this is is associated with eric evelop who site is pairing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this this is is associated with eric evelop who site is pairing', 'this this is associated with eric evelop who site is pairing', 'this is associated with eric evelop who site is pairing', 'this this is is associated with eric haveler who site is pairing', 'this this is is associated with eric evelop who site is pairing']
[ "i like other chromosomes why are chromosomes generally do not come in pairs", "i like other chromosomes why are chromosomes generally do not come in pairs", "unlike other chromosomes wire chromosomes generally do not come in pairs", "i like other chromosomes why are chromosomes generally do not come in pairs", "i like other chromosomes why chromosomes generally do not come in pairs" ]
unlike other chromosomes y chromosomes generally do not come in pairs
i like other chromosomes why are chromosomes generally do not come in pairs.
i like other chromosomes why are chromosomes generally do not come in pairs. unlike other chromosomes wire chromosomes generally do not come in pairs. i like other chromosomes why are chromosomes generally do not come in pairs. i like other chromosomes why chromosomes generally do not come in pairs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i like other chromosomes why are chromosomes generally do not come in pairs', 'i like other chromosomes why are chromosomes generally do not come in pairs', 'unlike other chromosomes wire chromosomes generally do not come in pairs', 'i like other chromosomes why are chromosomes generally do not come in pairs', 'i like other chromosomes why chromosomes generally do not come in pairs']
[ "also the galwar module structure of has been determined", "also the galwan module structure of has been determined", "also the galois module structure of has been determined", "also the gal wire module structure of has been determined", "also the galwar module structure of has been determined" ]
also the galois module structure of has been determined
also the galwar module structure of has been determined.
also the galwan module structure of has been determined. also the galois module structure of has been determined. also the gal wire module structure of has been determined. also the galwar module structure of has been determined.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['also the galwar module structure of has been determined', 'also the galwan module structure of has been determined', 'also the galois module structure of has been determined', 'also the gal wire module structure of has been determined', 'also the galwar module structure of has been determined']
[ "it has a breathing siphon at its end giving it its name", "it has a breathing siphon at its end and giving it its name", "it has a breathing siphon at its very end giving it its name", "it has a breathing siphon at its end and giving it its name", "it has a breathing siphon at its very end and giving it its name" ]
it has a breathing siphon at its rear end giving it its name
it has a breathing siphon at its end giving it its name.
it has a breathing siphon at its end and giving it its name. it has a breathing siphon at its very end giving it its name. it has a breathing siphon at its end and giving it its name. it has a breathing siphon at its very end and giving it its name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has a breathing siphon at its end giving it its name', 'it has a breathing siphon at its end and giving it its name', 'it has a breathing siphon at its very end giving it its name', 'it has a breathing siphon at its end and giving it its name', 'it has a breathing siphon at its very end and giving it its name']
[ "sirino pumisino was born in nepal is", "sirino pumicino was born in nepal is", "serino pumisino was born in nepal is", "sirino pumisino was born in naples", "sirino pumisino was born in neppels" ]
cirino pomicino was born in naples
sirino pumisino was born in nepal is.
sirino pumicino was born in nepal is. serino pumisino was born in nepal is. sirino pumisino was born in naples. sirino pumisino was born in neppels.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sirino pumisino was born in nepal is', 'sirino pumicino was born in nepal is', 'serino pumisino was born in nepal is', 'sirino pumisino was born in naples', 'sirino pumisino was born in neppels']
[ "the scene is at once real and unreal", "the scene is at once real and unclear", "the scene is at once real and unreal", "the scene is at once real and unreal", "the scene is at once real and unreal" ]
the scene is at once real and unreal
the scene is at once real and unreal.
the scene is at once real and unclear. the scene is at once real and unreal. the scene is at once real and unreal. the scene is at once real and unreal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the scene is at once real and unreal', 'the scene is at once real and unclear', 'the scene is at once real and unreal', 'the scene is at once real and unreal', 'the scene is at once real and unreal']
[ "neutron is life was a descendant of elizabeth palmer", "lutheran is life was a descendant of elizabeth palmer", "lutheran is wife was a descendant of elizabeth palmer", "neutron is wife was a descendant of elizabeth palmer", "lutheran is life was a descendant of elizabeth parma" ]
hawthorne is wife was a descendant of elizabeth palmer
neutron is life was a descendant of elizabeth palmer.
lutheran is life was a descendant of elizabeth palmer. lutheran is wife was a descendant of elizabeth palmer. neutron is wife was a descendant of elizabeth palmer. lutheran is life was a descendant of elizabeth parma.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['neutron is life was a descendant of elizabeth palmer', 'lutheran is life was a descendant of elizabeth palmer', 'lutheran is wife was a descendant of elizabeth palmer', 'neutron is wife was a descendant of elizabeth palmer', 'lutheran is life was a descendant of elizabeth parma']
[ "the following list is a list of starting quarterbacks of the beers", "the following list is a list of starting quarterbacks of the bears", "the following list is a list of starting quarterbacks of the years", "the following list is a list of starting quarterbacks of the beers", "the following list is a list of starting quarterbacks of the liars" ]
the following list is a list of starting quarterbacks of the bears
the following list is a list of starting quarterbacks of the beers.
the following list is a list of starting quarterbacks of the bears. the following list is a list of starting quarterbacks of the years. the following list is a list of starting quarterbacks of the beers. the following list is a list of starting quarterbacks of the liars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the following list is a list of starting quarterbacks of the beers', 'the following list is a list of starting quarterbacks of the bears', 'the following list is a list of starting quarterbacks of the years', 'the following list is a list of starting quarterbacks of the beers', 'the following list is a list of starting quarterbacks of the liars']
[ "the company is portfolio includes titles such as and other another man and hunger", "the company is portfolio includes titles such as an other another man and hunger", "the company is portfolio includes titles such as and other another man and hunger", "the company is portfolio includes titles such as another another man and hunger", "the company is portfolio includes titles such as and other another man and hunger" ]
the company is portfolio includes titles such as another another man and hunger
the company is portfolio includes titles such as and other another man and hunger.
the company is portfolio includes titles such as an other another man and hunger. the company is portfolio includes titles such as and other another man and hunger. the company is portfolio includes titles such as another another man and hunger. the company is portfolio includes titles such as and other another man and hunger.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company is portfolio includes titles such as and other another man and hunger', 'the company is portfolio includes titles such as an other another man and hunger', 'the company is portfolio includes titles such as and other another man and hunger', 'the company is portfolio includes titles such as another another man and hunger', 'the company is portfolio includes titles such as and other another man and hunger']
[ "it also possesses anti inflammatory properties", "it also possesses entined flammatory properties", "it also possesses anti inflammatory properties", "it also possesses anti inflammatory properties", "it also possesses anti inflammatory properties" ]
it also possesses anti inflammatory properties
it also possesses anti inflammatory properties.
it also possesses entined flammatory properties. it also possesses anti inflammatory properties. it also possesses anti inflammatory properties. it also possesses anti inflammatory properties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also possesses anti inflammatory properties', 'it also possesses entined flammatory properties', 'it also possesses anti inflammatory properties', 'it also possesses anti inflammatory properties', 'it also possesses anti inflammatory properties']
[ "several of the facilities offer affordable rentals throughout the year", "several of the facilities offer affordable renters throughout the year", "several of the facilities offer affordable rentals throughout the year", "several of the facilities offer affordable renters throughout the year", "several of the facilities offer affordable renters throughout the year" ]
several of the facilities offer affordable rentals throughout the year
several of the facilities offer affordable rentals throughout the year.
several of the facilities offer affordable renters throughout the year. several of the facilities offer affordable rentals throughout the year. several of the facilities offer affordable renters throughout the year. several of the facilities offer affordable renters throughout the year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['several of the facilities offer affordable rentals throughout the year', 'several of the facilities offer affordable renters throughout the year', 'several of the facilities offer affordable rentals throughout the year', 'several of the facilities offer affordable renters throughout the year', 'several of the facilities offer affordable renters throughout the year']
[ "the algorithm consists of a series of tests to be performed by an application", "the algorithm consists of a series of tests to be performed by an application", "the algorithm consists of a series of tests to be performed by an application", "the algorithm consists of a series of tests to be performed by an application", "the algorithm consists of a series of tests to be performed by an application" ]
the algorithm consists of a series of tests to be performed by an application
the algorithm consists of a series of tests to be performed by an application.
the algorithm consists of a series of tests to be performed by an application. the algorithm consists of a series of tests to be performed by an application. the algorithm consists of a series of tests to be performed by an application. the algorithm consists of a series of tests to be performed by an application.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the algorithm consists of a series of tests to be performed by an application', 'the algorithm consists of a series of tests to be performed by an application', 'the algorithm consists of a series of tests to be performed by an application', 'the algorithm consists of a series of tests to be performed by an application', 'the algorithm consists of a series of tests to be performed by an application']
[ "it also uses modernized narrative structures and storytelling methods", "it also uses modernist narrative structures and storytelling methods", "it also uses modernize narrative structures and storytelling methods", "it also uses modernized narrative structures and storytelling methods", "it also uses modern ish narrative structures and storytelling methods" ]
it also uses modernist narrative structures and storytelling methods
it also uses modernized narrative structures and storytelling methods.
it also uses modernist narrative structures and storytelling methods. it also uses modernize narrative structures and storytelling methods. it also uses modernized narrative structures and storytelling methods. it also uses modern ish narrative structures and storytelling methods.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also uses modernized narrative structures and storytelling methods', 'it also uses modernist narrative structures and storytelling methods', 'it also uses modernize narrative structures and storytelling methods', 'it also uses modernized narrative structures and storytelling methods', 'it also uses modern ish narrative structures and storytelling methods']
[ "the murray hill facility also has the largest copper roof in the world", "the maui hill facility also has the largest copper roof in the world", "the murray hill facility also has the largest copper roof in the world", "the murray hill facility also has the largest copper roof in the world", "the maui hill facility also has the largest copper roof in the world" ]
the murray hill facility also has the largest copper roof in the world
the murray hill facility also has the largest copper roof in the world.
the maui hill facility also has the largest copper roof in the world. the murray hill facility also has the largest copper roof in the world. the murray hill facility also has the largest copper roof in the world. the maui hill facility also has the largest copper roof in the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the murray hill facility also has the largest copper roof in the world', 'the maui hill facility also has the largest copper roof in the world', 'the murray hill facility also has the largest copper roof in the world', 'the murray hill facility also has the largest copper roof in the world', 'the maui hill facility also has the largest copper roof in the world']
[ "another new person in the class is davey", "another new person in their class is davey", "another new person in her class is davey", "another new person in their classes davey", "another new person in her class is davie" ]
another new person in her class is davy
another new person in the class is davey.
another new person in their class is davey. another new person in her class is davey. another new person in their classes davey. another new person in her class is davie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another new person in the class is davey', 'another new person in their class is davey', 'another new person in her class is davey', 'another new person in their classes davey', 'another new person in her class is davie']
[ "blanco wrote about literature plus he was also a music critic", "blanco wrote about literature plus he was also a music critic", "he was also a music critic", "blanco wrote about literature plus he was also a music critic", "blanco wrote about literature plus he was also a music critic" ]
blanco wrote about literature plus he was also a music critic
blanco wrote about literature plus he was also a music critic.
blanco wrote about literature plus he was also a music critic. he was also a music critic. blanco wrote about literature plus he was also a music critic. blanco wrote about literature plus he was also a music critic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['blanco wrote about literature plus he was also a music critic', 'blanco wrote about literature plus he was also a music critic', 'he was also a music critic', 'blanco wrote about literature plus he was also a music critic', 'blanco wrote about literature plus he was also a music critic']
[ "the town of fitzvilleum aljabee has his name", "the town of fitzwilliam aljabee has his name", "the town of fitzwilliam aljabee has his name", "the town of fitzvilleum aljabee has his name", "the town of fitzvilleum aljabee has his name" ]
the town of fitzwilliam also bears his name
the town of fitzvilleum aljabee has his name.
the town of fitzwilliam aljabee has his name. the town of fitzwilliam aljabee has his name. the town of fitzvilleum aljabee has his name. the town of fitzvilleum aljabee has his name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the town of fitzvilleum aljabee has his name', 'the town of fitzwilliam aljabee has his name', 'the town of fitzwilliam aljabee has his name', 'the town of fitzvilleum aljabee has his name', 'the town of fitzvilleum aljabee has his name']
[ "the bank was winning heavily", "the back was winning heavily", "the bank was winning heavy league", "the back was winning heavily", "the bank was winning heavy league" ]
the bank was winning heavily
the bank was winning heavily.
the back was winning heavily. the bank was winning heavy league. the back was winning heavily. the bank was winning heavy league.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bank was winning heavily', 'the back was winning heavily', 'the bank was winning heavy league', 'the back was winning heavily', 'the bank was winning heavy league']
[ "lennon polytechnic institute and the university of karakiv", "lennon polytechnic institute and the university of karkiv", "lennon polytechnic institute and the university of karakhev", "lennon polytechnic institute and the university of karakheve", "learn in polytechnic institute and the university of karakiv" ]
lenin polytechnic institute and the university of kharkiv
lennon polytechnic institute and the university of karakiv.
lennon polytechnic institute and the university of karkiv. lennon polytechnic institute and the university of karakhev. lennon polytechnic institute and the university of karakheve. learn in polytechnic institute and the university of karakiv.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lennon polytechnic institute and the university of karakiv', 'lennon polytechnic institute and the university of karkiv', 'lennon polytechnic institute and the university of karakhev', 'lennon polytechnic institute and the university of karakheve', 'learn in polytechnic institute and the university of karakiv']
[ "a rubber sheet for example behaves more like glass at typical bullet speeds", "arabe sheet for example behaves more like glass at typical bullet speeds", "a rubber sheet for example behaves more like glass at typical bullet speeds", "araba sheet for example behaves more like glass at typical bullet speeds", "a rubber sheet for example behaves more like glass at typical bullet speeds" ]
a rubber sheet for example behaves more like glass at typical bullet speeds
a rubber sheet for example behaves more like glass at typical bullet speeds.
arabe sheet for example behaves more like glass at typical bullet speeds. a rubber sheet for example behaves more like glass at typical bullet speeds. araba sheet for example behaves more like glass at typical bullet speeds. a rubber sheet for example behaves more like glass at typical bullet speeds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a rubber sheet for example behaves more like glass at typical bullet speeds', 'arabe sheet for example behaves more like glass at typical bullet speeds', 'a rubber sheet for example behaves more like glass at typical bullet speeds', 'araba sheet for example behaves more like glass at typical bullet speeds', 'a rubber sheet for example behaves more like glass at typical bullet speeds']
[ "oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence", "oliver wendell holmes senior declared this piece to be america is intellectual declaration of independence", "oliver vendel holmes senior declared the space to be america is intellectual declaration of independence", "oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence", "oliver wendell holmes senior declared the space to be america is intellectual declaration of independence" ]
oliver wendell holmes senior declared this speech to be america is intellectual declaration of independence
oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence.
oliver wendell holmes senior declared this piece to be america is intellectual declaration of independence. oliver vendel holmes senior declared the space to be america is intellectual declaration of independence. oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence. oliver wendell holmes senior declared the space to be america is intellectual declaration of independence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence', 'oliver wendell holmes senior declared this piece to be america is intellectual declaration of independence', 'oliver vendel holmes senior declared the space to be america is intellectual declaration of independence', 'oliver vendel holmes senior declared this piece to be america is intellectual declaration of independence', 'oliver wendell holmes senior declared the space to be america is intellectual declaration of independence']
[ "the end of the lake delimits the beginning of the estuary of saint lawrence", "the end of the leg delimits the beginning of the estuary of saint lawrence", "the end of the lake delimits the beginning of the estuary of saint lawrence", "the end of the leg delimits the beginning of the estuary of saint lawrence", "the end of the lake delimits the beginning of the estuary of saint lawrence" ]
the end of the lake delimits the beginning of the estuary of saint lawrence
the end of the lake delimits the beginning of the estuary of saint lawrence.
the end of the leg delimits the beginning of the estuary of saint lawrence. the end of the lake delimits the beginning of the estuary of saint lawrence. the end of the leg delimits the beginning of the estuary of saint lawrence. the end of the lake delimits the beginning of the estuary of saint lawrence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the end of the lake delimits the beginning of the estuary of saint lawrence', 'the end of the leg delimits the beginning of the estuary of saint lawrence', 'the end of the lake delimits the beginning of the estuary of saint lawrence', 'the end of the leg delimits the beginning of the estuary of saint lawrence', 'the end of the lake delimits the beginning of the estuary of saint lawrence']
[ "he continues to maintain contact with our phones and they meet periodically", "he continues to maintain contact with our phones and they meet periodically", "he continues to maintain contact with iphones and they meet periodically", "he continues to maintain contact with our phones and they meet periodically", "he continues to maintain contact with our phones and they meet periodically" ]
he continues to maintain contact with arfons and they meet periodically
he continues to maintain contact with our phones and they meet periodically.
he continues to maintain contact with our phones and they meet periodically. he continues to maintain contact with iphones and they meet periodically. he continues to maintain contact with our phones and they meet periodically. he continues to maintain contact with our phones and they meet periodically.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he continues to maintain contact with our phones and they meet periodically', 'he continues to maintain contact with our phones and they meet periodically', 'he continues to maintain contact with iphones and they meet periodically', 'he continues to maintain contact with our phones and they meet periodically', 'he continues to maintain contact with our phones and they meet periodically']
[ "although weak acid exposure to pure citric acid can cause adverse effects", "although weak acid exposure to pure citric acid can cause adverse effects", "although a weak acid exposure to pure citric acid can cause adverse effects", "although weak acid exposure to pure citric acid can cause adverse effects", "although weak acid exposure to pure citric acid can cause adverse effects" ]
although a weak acid exposure to pure citric acid can cause adverse effects
although weak acid exposure to pure citric acid can cause adverse effects.
although weak acid exposure to pure citric acid can cause adverse effects. although a weak acid exposure to pure citric acid can cause adverse effects. although weak acid exposure to pure citric acid can cause adverse effects. although weak acid exposure to pure citric acid can cause adverse effects.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['although weak acid exposure to pure citric acid can cause adverse effects', 'although weak acid exposure to pure citric acid can cause adverse effects', 'although a weak acid exposure to pure citric acid can cause adverse effects', 'although weak acid exposure to pure citric acid can cause adverse effects', 'although weak acid exposure to pure citric acid can cause adverse effects']
[ "he advocated choosing the empty password so anyone could use the computers", "he advocated choosing the empty passwords so anyone could use the computers", "he advocated choosing the empty password so anyone could use the computers", "he advocated choosing the empty password so anyone could use the computer is", "he advocated choosing the empty password so anyone could use the computers" ]
he advocated choosing the empty password so anyone could use the computers
he advocated choosing the empty password so anyone could use the computers.
he advocated choosing the empty passwords so anyone could use the computers. he advocated choosing the empty password so anyone could use the computers. he advocated choosing the empty password so anyone could use the computer is. he advocated choosing the empty password so anyone could use the computers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he advocated choosing the empty password so anyone could use the computers', 'he advocated choosing the empty passwords so anyone could use the computers', 'he advocated choosing the empty password so anyone could use the computers', 'he advocated choosing the empty password so anyone could use the computer is', 'he advocated choosing the empty password so anyone could use the computers']
[ "after the swindle was discovered balfour fled the country", "after the swindle was discovered ball four fled the country", "after the swindle was discovered balfour fled the country", "after the swindle was discovered balfore fled the country", "after the swindle was discovered balfore fled the country" ]
after the swindle was discovered balfour fled the country
after the swindle was discovered balfour fled the country.
after the swindle was discovered ball four fled the country. after the swindle was discovered balfour fled the country. after the swindle was discovered balfore fled the country. after the swindle was discovered balfore fled the country.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the swindle was discovered balfour fled the country', 'after the swindle was discovered ball four fled the country', 'after the swindle was discovered balfour fled the country', 'after the swindle was discovered balfore fled the country', 'after the swindle was discovered balfore fled the country']
[ "the group is related to the genera nothoxica and pseudolarics", "the group is related to the genera nothoxica and pseudolarics", "the group is related to the genera notholtsiga and pseudolarics", "the group is related to the genera notholtsiga and pseudo larix", "the group is related to the genera no tholtsiga and pseudo larix" ]
the group is related to the genera nothotsuga and pseudolarix
the group is related to the genera nothoxica and pseudolarics.
the group is related to the genera nothoxica and pseudolarics. the group is related to the genera notholtsiga and pseudolarics. the group is related to the genera notholtsiga and pseudo larix. the group is related to the genera no tholtsiga and pseudo larix.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the group is related to the genera nothoxica and pseudolarics', 'the group is related to the genera nothoxica and pseudolarics', 'the group is related to the genera notholtsiga and pseudolarics', 'the group is related to the genera notholtsiga and pseudo larix', 'the group is related to the genera no tholtsiga and pseudo larix']
[ "he helped the team improving first in defense then in attack", "he helped the team improving first and defense then in attack", "he helped the team improving first and defense then in attack", "he helped the team improving first in defense then in attack", "he helped the team improving first and defense then in attack" ]
he helped the team improving first in defense then in attack
he helped the team improving first in defense then in attack.
he helped the team improving first and defense then in attack. he helped the team improving first and defense then in attack. he helped the team improving first in defense then in attack. he helped the team improving first and defense then in attack.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he helped the team improving first in defense then in attack', 'he helped the team improving first and defense then in attack', 'he helped the team improving first and defense then in attack', 'he helped the team improving first in defense then in attack', 'he helped the team improving first and defense then in attack']
[ "so the answer right would be similar to sodium solenoid and sodium sulfide", "so the answer all right it would be similar to sodium solenoid and sodium sulfide", "so the answer all right would be similar to sodium solenoid and sodium sulfide", "so the end is all right it would be similar to sodium solenoid and sodium sulfide", "so the answer all right it would be similar to sodium solenoid and sodium sulplac" ]
sodium tellurite would be similar to sodium selenite and sodium sulfite
so the answer right would be similar to sodium solenoid and sodium sulfide.
so the answer all right it would be similar to sodium solenoid and sodium sulfide. so the answer all right would be similar to sodium solenoid and sodium sulfide. so the end is all right it would be similar to sodium solenoid and sodium sulfide. so the answer all right it would be similar to sodium solenoid and sodium sulplac.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so the answer right would be similar to sodium solenoid and sodium sulfide', 'so the answer all right it would be similar to sodium solenoid and sodium sulfide', 'so the answer all right would be similar to sodium solenoid and sodium sulfide', 'so the end is all right it would be similar to sodium solenoid and sodium sulfide', 'so the answer all right it would be similar to sodium solenoid and sodium sulplac']
[ "to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed", "to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed", "to confirm it is not staphylococcus obvious a basic recent susceptibility test can be performed", "to confirm it is not staphylococcus obvious a massive presence of susceptibility test can be performed", "to confirm it is not staphylococcus or is a basic presence of susceptibility test can be performed" ]
to confirm it is not staphylococcus aureus a bacitracin susceptibility test can be performed
to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed.
to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed. to confirm it is not staphylococcus obvious a basic recent susceptibility test can be performed. to confirm it is not staphylococcus obvious a massive presence of susceptibility test can be performed. to confirm it is not staphylococcus or is a basic presence of susceptibility test can be performed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed', 'to confirm it is not staphylococcus obvious a basic presence of susceptibility test can be performed', 'to confirm it is not staphylococcus obvious a basic recent susceptibility test can be performed', 'to confirm it is not staphylococcus obvious a massive presence of susceptibility test can be performed', 'to confirm it is not staphylococcus or is a basic presence of susceptibility test can be performed']
[ "the metric system is based on units tens and hundreds", "the matrix system is based on units tens and hundreds", "the metric system is based on units tens and hundreds", "the matrix system is based on units tens and hundreds", "the metric system is based on units tents and hundreds" ]
the metric system is based on units tens and hundreds
the metric system is based on units tens and hundreds.
the matrix system is based on units tens and hundreds. the metric system is based on units tens and hundreds. the matrix system is based on units tens and hundreds. the metric system is based on units tents and hundreds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the metric system is based on units tens and hundreds', 'the matrix system is based on units tens and hundreds', 'the metric system is based on units tens and hundreds', 'the matrix system is based on units tens and hundreds', 'the metric system is based on units tents and hundreds']
[ "this region has majority of people of the tharu ethnicity", "this region has a majority of people of the tharu ethnicity", "this region has majority of people of the tharu ethnicity", "this region has majority of people of the tharu ethnicity", "this region has majority of people of the tharu ethnicity" ]
this region has majority of people of the tharu ethnicity
this region has majority of people of the tharu ethnicity.
this region has a majority of people of the tharu ethnicity. this region has majority of people of the tharu ethnicity. this region has majority of people of the tharu ethnicity. this region has majority of people of the tharu ethnicity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this region has majority of people of the tharu ethnicity', 'this region has a majority of people of the tharu ethnicity', 'this region has majority of people of the tharu ethnicity', 'this region has majority of people of the tharu ethnicity', 'this region has majority of people of the tharu ethnicity']
[ "these terms were later used in psychological descriptions of agonersia and aporexia", "these terms were later used in psychological descriptions of agrenersia and aporexia", "these terms were later used in psychological descriptions of agonersia and aporexia", "these terms were later used in psychological descriptions of agonersia and aporexial", "these terms were later used in psychological descriptions of agonersia and aporexio" ]
these terms were later used in psychological descriptions of agnosia and apraxia
these terms were later used in psychological descriptions of agonersia and aporexia.
these terms were later used in psychological descriptions of agrenersia and aporexia. these terms were later used in psychological descriptions of agonersia and aporexia. these terms were later used in psychological descriptions of agonersia and aporexial. these terms were later used in psychological descriptions of agonersia and aporexio.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these terms were later used in psychological descriptions of agonersia and aporexia', 'these terms were later used in psychological descriptions of agrenersia and aporexia', 'these terms were later used in psychological descriptions of agonersia and aporexia', 'these terms were later used in psychological descriptions of agonersia and aporexial', 'these terms were later used in psychological descriptions of agonersia and aporexio']
[ "the designation burning babel is book was nevertheless retained by the observatory for a few years still", "the designation burning babel is book was nevertheless retained by the observatory for a few years still", "the designation burning babel is book was nevertheless retained by the observatory for a few years still", "the designation bowling babel is book was nevertheless retained by the observatory for a few years still", "the designation burning babel is book was nevertheless retained by the observatory for a few years still" ]
the designation berlin babelsberg was nevertheless retained by the observatory for a few years still
the designation burning babel is book was nevertheless retained by the observatory for a few years still.
the designation burning babel is book was nevertheless retained by the observatory for a few years still. the designation burning babel is book was nevertheless retained by the observatory for a few years still. the designation bowling babel is book was nevertheless retained by the observatory for a few years still. the designation burning babel is book was nevertheless retained by the observatory for a few years still.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the designation burning babel is book was nevertheless retained by the observatory for a few years still', 'the designation burning babel is book was nevertheless retained by the observatory for a few years still', 'the designation burning babel is book was nevertheless retained by the observatory for a few years still', 'the designation bowling babel is book was nevertheless retained by the observatory for a few years still', 'the designation burning babel is book was nevertheless retained by the observatory for a few years still']
[ "these are usually hired by two agents or companies", "these are usually hired by two agents or companies", "these are usually hired by two agents or companies", "these are usually hired by two agents or companies", "these are usually hired by two agent is or companies" ]
these are usually hired by tour agents or companies
these are usually hired by two agents or companies.
these are usually hired by two agents or companies. these are usually hired by two agents or companies. these are usually hired by two agents or companies. these are usually hired by two agent is or companies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these are usually hired by two agents or companies', 'these are usually hired by two agents or companies', 'these are usually hired by two agents or companies', 'these are usually hired by two agents or companies', 'these are usually hired by two agent is or companies']
[ "but if you give me another love i will carry that as well", "but if you give me another loaf i will carry that as well", "but if you give me another love i will carry that as well", "but if you give me another loaf i will carry that as well", "but if you give me another love i will carry that as well" ]
but if you give me another loaf i will carry that as well
but if you give me another love i will carry that as well.
but if you give me another loaf i will carry that as well. but if you give me another love i will carry that as well. but if you give me another loaf i will carry that as well. but if you give me another love i will carry that as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but if you give me another love i will carry that as well', 'but if you give me another loaf i will carry that as well', 'but if you give me another love i will carry that as well', 'but if you give me another loaf i will carry that as well', 'but if you give me another love i will carry that as well']
[ "he also has a tattoo which is of a scorpion", "you also have a tattoo which is of a scorpion", "i also had a tattoo which is of a scorpion", "i also have a tattoo which is of a scorpion", "you also had a tattoo which is of a scorpion" ]
he also has a tattoo which is of a scorpion
he also has a tattoo which is of a scorpion.
you also have a tattoo which is of a scorpion. i also had a tattoo which is of a scorpion. i also have a tattoo which is of a scorpion. you also had a tattoo which is of a scorpion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also has a tattoo which is of a scorpion', 'you also have a tattoo which is of a scorpion', 'i also had a tattoo which is of a scorpion', 'i also have a tattoo which is of a scorpion', 'you also had a tattoo which is of a scorpion']
[ "another resident was love o v", "another resident was level v", "another resident was level v", "another resident was lavovy", "another resident was love o v" ]
another resident was lavovi
another resident was love o v.
another resident was level v. another resident was level v. another resident was lavovy. another resident was love o v.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another resident was love o v', 'another resident was level v', 'another resident was level v', 'another resident was lavovy', 'another resident was love o v']
[ "lostok then became a load or old lostok which you can see led to the name alistok", "lostock then became a load or old lostock which you can see led to the name lostock", "lostock then became a load or old lostock which eventually led to the name alistock", "lostock then became a load or old lostock which you can see led to the name alistock", "lostok then became a load or old lostok which you can see led to the name alistok" ]
lostock then became auld or old lostock which eventually lead to the name allostock
lostok then became a load or old lostok which you can see led to the name alistok.
lostock then became a load or old lostock which you can see led to the name lostock. lostock then became a load or old lostock which eventually led to the name alistock. lostock then became a load or old lostock which you can see led to the name alistock. lostok then became a load or old lostok which you can see led to the name alistok.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lostok then became a load or old lostok which you can see led to the name alistok', 'lostock then became a load or old lostock which you can see led to the name lostock', 'lostock then became a load or old lostock which eventually led to the name alistock', 'lostock then became a load or old lostock which you can see led to the name alistock', 'lostok then became a load or old lostok which you can see led to the name alistok']
[ "george s frost established a post office the same year", "george s frost established the post office the same year", "george s frost established post office the same year", "george s frost established post office the same year", "george s frost established the post office the same year" ]
george s frost established a post office the same year
george s frost established a post office the same year.
george s frost established the post office the same year. george s frost established post office the same year. george s frost established post office the same year. george s frost established the post office the same year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['george s frost established a post office the same year', 'george s frost established the post office the same year', 'george s frost established post office the same year', 'george s frost established post office the same year', 'george s frost established the post office the same year']
[ "a child hugs the bird house", "a child hugs the birdhouse", "a child hugs the bird has", "a child hugs a bird house", "a child hugs the bird house" ]
a child hugs a birdhouse
a child hugs the bird house.
a child hugs the birdhouse. a child hugs the bird has. a child hugs a bird house. a child hugs the bird house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a child hugs the bird house', 'a child hugs the birdhouse', 'a child hugs the bird has', 'a child hugs a bird house', 'a child hugs the bird house']
[ "go into my story and you will see two doors facing you", "go into my story and you will see two doors facing you", "go into my story and you will see two doors facing you", "go into my story and you will see two doors facing you", "going to my story and you will see two doors facing you" ]
go into my study and you will see two doors facing you
go into my story and you will see two doors facing you.
go into my story and you will see two doors facing you. go into my story and you will see two doors facing you. go into my story and you will see two doors facing you. going to my story and you will see two doors facing you.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['go into my story and you will see two doors facing you', 'go into my story and you will see two doors facing you', 'go into my story and you will see two doors facing you', 'go into my story and you will see two doors facing you', 'going to my story and you will see two doors facing you']
[ "doors include boobies and seagulls which are very common in the island", "doors include boobies and seagulls which are very common in the island", "doors include boobies and sequels which are very common in the island", "doors include boobies and sequels which are very common in the island", "doors include boobies and seagulls which are very common on the island" ]
birds include boobies and seagulls which are very common on the islands
doors include boobies and seagulls which are very common in the island.
doors include boobies and seagulls which are very common in the island. doors include boobies and sequels which are very common in the island. doors include boobies and sequels which are very common in the island. doors include boobies and seagulls which are very common on the island.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['doors include boobies and seagulls which are very common in the island', 'doors include boobies and seagulls which are very common in the island', 'doors include boobies and sequels which are very common in the island', 'doors include boobies and sequels which are very common in the island', 'doors include boobies and seagulls which are very common on the island']
[ "confident to the cortex", "the show vessels are confined to the cortex", "to show vessels are confined to the cortex", "the show festivals are confined to the cortex", "the short vessels are confined to the cortex" ]
the short vessels are confined to the cortex
confident to the cortex.
the show vessels are confined to the cortex. to show vessels are confined to the cortex. the show festivals are confined to the cortex. the short vessels are confined to the cortex.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['confident to the cortex', 'the show vessels are confined to the cortex', 'to show vessels are confined to the cortex', 'the show festivals are confined to the cortex', 'the short vessels are confined to the cortex']
[ "volkier went on to form the clan destined", "volkia went on to form the clan destined", "volkier went on to form the clan destined", "volkier went on to form the klan destined", "volkia went on to form the clan destined" ]
walkyier went on to form the clan destined
volkier went on to form the clan destined.
volkia went on to form the clan destined. volkier went on to form the clan destined. volkier went on to form the klan destined. volkia went on to form the clan destined.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['volkier went on to form the clan destined', 'volkia went on to form the clan destined', 'volkier went on to form the clan destined', 'volkier went on to form the klan destined', 'volkia went on to form the clan destined']
[ "jones was born in dallas texas", "jones was born in dallas texas", "john is was born in dallas texas", "jones was born in dallas texas", "jones was born in dallas texas" ]
jones was born in dallas texas
jones was born in dallas texas.
jones was born in dallas texas. john is was born in dallas texas. jones was born in dallas texas. jones was born in dallas texas.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jones was born in dallas texas', 'jones was born in dallas texas', 'john is was born in dallas texas', 'jones was born in dallas texas', 'jones was born in dallas texas']