hypothesis
listlengths
5
5
transcription
stringlengths
2
920
input1
stringlengths
3
1.18k
hypothesis_concatenated
stringlengths
15
5.37k
source
stringclasses
8 values
id
stringclasses
0 values
dummy_str
stringclasses
1 value
dummy_list
listlengths
0
0
prompt
stringlengths
138
6.25k
[ "just because you do not know them does not mean they do not exist", "just because you do not know them does not mean they do not exist", "just because you do not know them does not mean they do not exist", "just because you do not know them does not mean they do not exist", "just because you do not know them does not mean they do not exist" ]
just because you do not know them does not mean they do not exist
just because you do not know them does not mean they do not exist.
just because you do not know them does not mean they do not exist. just because you do not know them does not mean they do not exist. just because you do not know them does not mean they do not exist. just because you do not know them does not mean they do not exist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['just because you do not know them does not mean they do not exist', 'just because you do not know them does not mean they do not exist', 'just because you do not know them does not mean they do not exist', 'just because you do not know them does not mean they do not exist', 'just because you do not know them does not mean they do not exist']
[ "one use is as a unit of dead weight to compute shipping charges", "one use is a unit of dead weight to compute shipping charges", "one use is as a unit of deadweight to compute shipping charges", "one use is a unit of deadweight to compute shipping charges", "one use is as a unit of dead weight to compute shipping charges" ]
one use is as a unit of deadweight to compute shipping charges
one use is as a unit of dead weight to compute shipping charges.
one use is a unit of dead weight to compute shipping charges. one use is as a unit of deadweight to compute shipping charges. one use is a unit of deadweight to compute shipping charges. one use is as a unit of dead weight to compute shipping charges.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one use is as a unit of dead weight to compute shipping charges', 'one use is a unit of dead weight to compute shipping charges', 'one use is as a unit of deadweight to compute shipping charges', 'one use is a unit of deadweight to compute shipping charges', 'one use is as a unit of dead weight to compute shipping charges']
[ "her later claims gained her awards and famous whistleblower", "her later claims gained her awards and famous whistleblower", "her later claims gained her awards and famous whistleblower", "her later claims gained her awards and famous whistle blower", "her later claims gained her awards and famous whistleblower" ]
her later claims gained her awards and fame as a whistleblower
her later claims gained her awards and famous whistleblower.
her later claims gained her awards and famous whistleblower. her later claims gained her awards and famous whistleblower. her later claims gained her awards and famous whistle blower. her later claims gained her awards and famous whistleblower.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her later claims gained her awards and famous whistleblower', 'her later claims gained her awards and famous whistleblower', 'her later claims gained her awards and famous whistleblower', 'her later claims gained her awards and famous whistle blower', 'her later claims gained her awards and famous whistleblower']
[ "if false notice that turns around and false it", "it falls notice that turns around and falls next", "if false notice the turns around and false it", "if false notice the turns surround and false it", "if false notice the turns are round and false it" ]
it flows northeast then turns around and flows west
if false notice that turns around and false it.
it falls notice that turns around and falls next. if false notice the turns around and false it. if false notice the turns surround and false it. if false notice the turns are round and false it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if false notice that turns around and false it', 'it falls notice that turns around and falls next', 'if false notice the turns around and false it', 'if false notice the turns surround and false it', 'if false notice the turns are round and false it']
[ "various pieces of classical music were used as the themes", "various pieces of classical music were used as the themes", "various pieces of classical music were used as the themes", "various pieces of classical music were used as the themes", "various pieces of classical music were used as the themes" ]
various pieces of classical music were used as the themes
various pieces of classical music were used as the themes.
various pieces of classical music were used as the themes. various pieces of classical music were used as the themes. various pieces of classical music were used as the themes. various pieces of classical music were used as the themes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['various pieces of classical music were used as the themes', 'various pieces of classical music were used as the themes', 'various pieces of classical music were used as the themes', 'various pieces of classical music were used as the themes', 'various pieces of classical music were used as the themes']
[ "the margaret vactress of website", "the margaret backdress a website", "the margaret actress or website", "the margaret backdress of website", "the margaret backdresser website" ]
the margaret baxtresser web site
the margaret vactress of website.
the margaret backdress a website. the margaret actress or website. the margaret backdress of website. the margaret backdresser website.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the margaret vactress of website', 'the margaret backdress a website', 'the margaret actress or website', 'the margaret backdress of website', 'the margaret backdresser website']
[ "the matador ranch based in motley country was once reached into dickens country", "the matador ranch based in motley country was once reached into dickens country", "the matador ranch based in motley country was once reached into dickens country", "the matador ranch based in motley country was once reached into dickens country", "the matador ranch based in motley country was once reached into dickens country" ]
the matador ranch based in motley county once reached into dickens county
the matador ranch based in motley country was once reached into dickens country.
the matador ranch based in motley country was once reached into dickens country. the matador ranch based in motley country was once reached into dickens country. the matador ranch based in motley country was once reached into dickens country. the matador ranch based in motley country was once reached into dickens country.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the matador ranch based in motley country was once reached into dickens country', 'the matador ranch based in motley country was once reached into dickens country', 'the matador ranch based in motley country was once reached into dickens country', 'the matador ranch based in motley country was once reached into dickens country', 'the matador ranch based in motley country was once reached into dickens country']
[ "the city is home to the kentucky vine and vine fist", "the city is song to the kentucky vine and vine fist", "the city is on to the kentucky vine and vine fist", "the city is formed to the kentucky vine and vine fist", "the city is song to the kentucky wine and wine fist" ]
the city is home to the kentucky wine and vine fest
the city is home to the kentucky vine and vine fist.
the city is song to the kentucky vine and vine fist. the city is on to the kentucky vine and vine fist. the city is formed to the kentucky vine and vine fist. the city is song to the kentucky wine and wine fist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the city is home to the kentucky vine and vine fist', 'the city is song to the kentucky vine and vine fist', 'the city is on to the kentucky vine and vine fist', 'the city is formed to the kentucky vine and vine fist', 'the city is song to the kentucky wine and wine fist']
[ "bennett is anti confederates reformed themselves into the colony is conservative party", "bennett is anti confederates reformed themselves into the colony is conservative party", "bennett is anticonfederates reformed themselves into the colony is conservative party", "bennett is anti confederates reformed themselves into the colony is conservative party", "bennett is anticonfederates reformed themselves into the colony is conservative party" ]
bennett is anti confederates reformed themselves into the colony is conservative party
bennett is anti confederates reformed themselves into the colony is conservative party.
bennett is anti confederates reformed themselves into the colony is conservative party. bennett is anticonfederates reformed themselves into the colony is conservative party. bennett is anti confederates reformed themselves into the colony is conservative party. bennett is anticonfederates reformed themselves into the colony is conservative party.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bennett is anti confederates reformed themselves into the colony is conservative party', 'bennett is anti confederates reformed themselves into the colony is conservative party', 'bennett is anticonfederates reformed themselves into the colony is conservative party', 'bennett is anti confederates reformed themselves into the colony is conservative party', 'bennett is anticonfederates reformed themselves into the colony is conservative party']
[ "some translations suggest it as bethany", "some translations suggest it as beth me", "some translation suggest it as bethany", "some translations suggest it as bethnay", "some translations suggest it as beth nie" ]
some translations suggest it as bethany
some translations suggest it as bethany.
some translations suggest it as beth me. some translation suggest it as bethany. some translations suggest it as bethnay. some translations suggest it as beth nie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some translations suggest it as bethany', 'some translations suggest it as beth me', 'some translation suggest it as bethany', 'some translations suggest it as bethnay', 'some translations suggest it as beth nie']
[ "two brown dogs run through the water", "two brown dogs run through the water", "two brown dogs run through the water", "two brown dogs run through the water", "two brown dogs run through the water" ]
two brown dogs runs through the water
two brown dogs run through the water.
two brown dogs run through the water. two brown dogs run through the water. two brown dogs run through the water. two brown dogs run through the water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two brown dogs run through the water', 'two brown dogs run through the water', 'two brown dogs run through the water', 'two brown dogs run through the water', 'two brown dogs run through the water']
[ "is internationally recognized for her expertise in critical human rights investigations", "is internationally recognized for her expertise and critical human rights investigations", "is internationally recognized for her expertise in critical human rights investigations", "is internationally recognized for her expertise and critical human rights investigations", "is internationally recognized for her expertise in critical human rights investigations" ]
jilani is internationally recognized for her expertise in critical human rights investigations
is internationally recognized for her expertise in critical human rights investigations.
is internationally recognized for her expertise and critical human rights investigations. is internationally recognized for her expertise in critical human rights investigations. is internationally recognized for her expertise and critical human rights investigations. is internationally recognized for her expertise in critical human rights investigations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is internationally recognized for her expertise in critical human rights investigations', 'is internationally recognized for her expertise and critical human rights investigations', 'is internationally recognized for her expertise in critical human rights investigations', 'is internationally recognized for her expertise and critical human rights investigations', 'is internationally recognized for her expertise in critical human rights investigations']
[ "they approach primarily only authors who they identified for excellence in writing quality", "they approach primarily only authors who they identified for excellence in writing quality", "the approach primarily only offers who they identified for excellence in writing quality", "the approach primarily only offers who they identified for excellence in writing quality", "the approach primarily only offers who they identified for excellence in writing quality" ]
they approached primarily only authors who they identified for excellence in writing quality
they approach primarily only authors who they identified for excellence in writing quality.
they approach primarily only authors who they identified for excellence in writing quality. the approach primarily only offers who they identified for excellence in writing quality. the approach primarily only offers who they identified for excellence in writing quality. the approach primarily only offers who they identified for excellence in writing quality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they approach primarily only authors who they identified for excellence in writing quality', 'they approach primarily only authors who they identified for excellence in writing quality', 'the approach primarily only offers who they identified for excellence in writing quality', 'the approach primarily only offers who they identified for excellence in writing quality', 'the approach primarily only offers who they identified for excellence in writing quality']
[ "a man in a white shirt is reading a math", "a man in a watch shut is reading a math", "a man in a white shirt is reading a math", "a man in a white shirt is rating a math", "a man in a watch shut is reading a map" ]
a man in a white shirt is reading a map
a man in a white shirt is reading a math.
a man in a watch shut is reading a math. a man in a white shirt is reading a math. a man in a white shirt is rating a math. a man in a watch shut is reading a map.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man in a white shirt is reading a math', 'a man in a watch shut is reading a math', 'a man in a white shirt is reading a math', 'a man in a white shirt is rating a math', 'a man in a watch shut is reading a map']
[ "odorin also contributed to other branches of natural history", "odore and also contributed to other branches of natural history", "odora and also contributed to other branches of natural history", "odor and also contributed to other branches of natural history", "odoran also contributed to other branches of natural history" ]
audouin also contributed to other branches of natural history
odorin also contributed to other branches of natural history.
odore and also contributed to other branches of natural history. odora and also contributed to other branches of natural history. odor and also contributed to other branches of natural history. odoran also contributed to other branches of natural history.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['odorin also contributed to other branches of natural history', 'odore and also contributed to other branches of natural history', 'odora and also contributed to other branches of natural history', 'odor and also contributed to other branches of natural history', 'odoran also contributed to other branches of natural history']
[ "despite the major fire the beach and the remaining business will open the following summer", "despite the major fire the beach and the remaining distance will open the following summer", "despite the major fire the beach and the remaining business will open the following summer", "despite the major fire the beach and the remaining business will open the following summer", "despite the major fire the beach and the remaining dismisses will open the following summer" ]
despite the major fire the beach and the remaining businesses reopened the following summer
despite the major fire the beach and the remaining business will open the following summer.
despite the major fire the beach and the remaining distance will open the following summer. despite the major fire the beach and the remaining business will open the following summer. despite the major fire the beach and the remaining business will open the following summer. despite the major fire the beach and the remaining dismisses will open the following summer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['despite the major fire the beach and the remaining business will open the following summer', 'despite the major fire the beach and the remaining distance will open the following summer', 'despite the major fire the beach and the remaining business will open the following summer', 'despite the major fire the beach and the remaining business will open the following summer', 'despite the major fire the beach and the remaining dismisses will open the following summer']
[ "the qeight offers however soon closed as well", "the qeight offers however soon closed as well", "the q eight offers however soon closed as well", "the qeight offers however soon closed as well", "the qeight offers however soon closed as well" ]
the kuwait office however soon closed as well
the qeight offers however soon closed as well.
the qeight offers however soon closed as well. the q eight offers however soon closed as well. the qeight offers however soon closed as well. the qeight offers however soon closed as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the qeight offers however soon closed as well', 'the qeight offers however soon closed as well', 'the q eight offers however soon closed as well', 'the qeight offers however soon closed as well', 'the qeight offers however soon closed as well']
[ "the premier audience i saw it with certainly did", "the premiere audience i saw it with certainly did", "the premiere audience i saw it with certainly did", "the premier audience i saw it with certainly did", "the premiere audients i saw it with certainly did" ]
the premiere audience i saw it with certainly did
the premier audience i saw it with certainly did.
the premiere audience i saw it with certainly did. the premiere audience i saw it with certainly did. the premier audience i saw it with certainly did. the premiere audients i saw it with certainly did.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the premier audience i saw it with certainly did', 'the premiere audience i saw it with certainly did', 'the premiere audience i saw it with certainly did', 'the premier audience i saw it with certainly did', 'the premiere audients i saw it with certainly did']
[ "she won six international tennis competition titles in her career", "she won six international tennis participation titles in her career", "she won six international tennis position titles in her career", "she won six international tennis professional tennis titles in her career", "she won six international tennis tradition titles in her career" ]
she won six international tennis federation titles in her career
she won six international tennis competition titles in her career.
she won six international tennis participation titles in her career. she won six international tennis position titles in her career. she won six international tennis professional tennis titles in her career. she won six international tennis tradition titles in her career.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she won six international tennis competition titles in her career', 'she won six international tennis participation titles in her career', 'she won six international tennis position titles in her career', 'she won six international tennis professional tennis titles in her career', 'she won six international tennis tradition titles in her career']
[ "again no advance warning was given before the reform took place", "again no advance warning was given for the reform to place", "again no advance warning was given for the reform took place", "again no advanced warning was given before the reform took place", "again no advance warning was given before the reform took place" ]
again no advance warning was given before the reform took place
again no advance warning was given before the reform took place.
again no advance warning was given for the reform to place. again no advance warning was given for the reform took place. again no advanced warning was given before the reform took place. again no advance warning was given before the reform took place.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['again no advance warning was given before the reform took place', 'again no advance warning was given for the reform to place', 'again no advance warning was given for the reform took place', 'again no advanced warning was given before the reform took place', 'again no advance warning was given before the reform took place']
[ "tweezers are known to have been used in pre dynastic egypt", "tweezers are known to have been used in pre dynastic egypt", "tweezers are known to have been used in pre dynastic egypt", "tweezers are known to have been used in pre dynastic egypt", "tweezers are known to have been used in pre dynastic egypt" ]
tweezers are known to have been used in predynastic egypt
tweezers are known to have been used in pre dynastic egypt.
tweezers are known to have been used in pre dynastic egypt. tweezers are known to have been used in pre dynastic egypt. tweezers are known to have been used in pre dynastic egypt. tweezers are known to have been used in pre dynastic egypt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tweezers are known to have been used in pre dynastic egypt', 'tweezers are known to have been used in pre dynastic egypt', 'tweezers are known to have been used in pre dynastic egypt', 'tweezers are known to have been used in pre dynastic egypt', 'tweezers are known to have been used in pre dynastic egypt']
[ "the door shakes off after getting rid of the border", "the door shakes off after getting out of the border", "the door shakes off after getting out of the water", "a door shakes off after getting rid of the border", "the door shakes off after getting rid of the water" ]
a dog shakes off after getting out of the water
the door shakes off after getting rid of the border.
the door shakes off after getting out of the border. the door shakes off after getting out of the water. a door shakes off after getting rid of the border. the door shakes off after getting rid of the water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the door shakes off after getting rid of the border', 'the door shakes off after getting out of the border', 'the door shakes off after getting out of the water', 'a door shakes off after getting rid of the border', 'the door shakes off after getting rid of the water']
[ "i could not believe what happened she said", "i could not believe it happened she said", "i could not believe what happened she said", "i could not believe it happened she said", "i could not believe what happened she said" ]
i could not believe it happened she said
i could not believe what happened she said.
i could not believe it happened she said. i could not believe what happened she said. i could not believe it happened she said. i could not believe what happened she said.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i could not believe what happened she said', 'i could not believe it happened she said', 'i could not believe what happened she said', 'i could not believe it happened she said', 'i could not believe what happened she said']
[ "question and events could not be held in australia due to quarantine and regulations", "question ifance could not be held in australia due to quarantine and regulations", "question events could not be held in australia due to quarantine and regulations", "question and events could not be held in australia due to quarantine and regulations", "question ifants could not be held in australia due to quarantine and regulations" ]
equestrian events could not be held in australia due to quarantine regulations
question and events could not be held in australia due to quarantine and regulations.
question ifance could not be held in australia due to quarantine and regulations. question events could not be held in australia due to quarantine and regulations. question and events could not be held in australia due to quarantine and regulations. question ifants could not be held in australia due to quarantine and regulations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['question and events could not be held in australia due to quarantine and regulations', 'question ifance could not be held in australia due to quarantine and regulations', 'question events could not be held in australia due to quarantine and regulations', 'question and events could not be held in australia due to quarantine and regulations', 'question ifants could not be held in australia due to quarantine and regulations']
[ "the user is attached to the province of canterbury", "the use is attached to the province of canterbury", "is attached to the province of canterbury", "and the user is attached to the province of canterbury", "and the user is attached to the province of canterbury" ]
the diocese is attached to the province of canterbury
the user is attached to the province of canterbury.
the use is attached to the province of canterbury. is attached to the province of canterbury. and the user is attached to the province of canterbury. and the user is attached to the province of canterbury.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the user is attached to the province of canterbury', 'the use is attached to the province of canterbury', 'is attached to the province of canterbury', 'and the user is attached to the province of canterbury', 'and the user is attached to the province of canterbury']
[ "there was mention of a lawsuit that day but no mention of a curse", "there was mention of a lawsuit that day but no mention of a curse", "there was mention of a lawsuit that day but no mention of a curse", "there was mention of a lawsuit that day but no mention of a curse", "there was mention of a lawsuit that day but no mention of a curse" ]
there was mention of a lawsuit that day but no mention of a curse
there was mention of a lawsuit that day but no mention of a curse.
there was mention of a lawsuit that day but no mention of a curse. there was mention of a lawsuit that day but no mention of a curse. there was mention of a lawsuit that day but no mention of a curse. there was mention of a lawsuit that day but no mention of a curse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there was mention of a lawsuit that day but no mention of a curse', 'there was mention of a lawsuit that day but no mention of a curse', 'there was mention of a lawsuit that day but no mention of a curse', 'there was mention of a lawsuit that day but no mention of a curse', 'there was mention of a lawsuit that day but no mention of a curse']
[ "his strength in army descended the volley of the agi and the trunt", "his prince in army descended the volley of the agi and the trunt", "his prince in army descended the volley of the aji and the trunt", "his strength in army descended the volley of the aji and the trunt", "his prince in army descended the valley of the agi and the trunt" ]
the austrasian army descended the valley of the adige and took trent
his strength in army descended the volley of the agi and the trunt.
his prince in army descended the volley of the agi and the trunt. his prince in army descended the volley of the aji and the trunt. his strength in army descended the volley of the aji and the trunt. his prince in army descended the valley of the agi and the trunt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his strength in army descended the volley of the agi and the trunt', 'his prince in army descended the volley of the agi and the trunt', 'his prince in army descended the volley of the aji and the trunt', 'his strength in army descended the volley of the aji and the trunt', 'his prince in army descended the valley of the agi and the trunt']
[ "via ferriti angelic indolo is also on the viviera", "via ferret angelic indolo is also on the viviera", "via ferreti angelie in dolo is also on the rivera", "via ferreter angelic indolo is also on the viviera", "we are ferrettingally in dolo is also on the rivera" ]
villa ferretti angeli in dolo is also on the riviera
via ferriti angelic indolo is also on the viviera.
via ferret angelic indolo is also on the viviera. via ferreti angelie in dolo is also on the rivera. via ferreter angelic indolo is also on the viviera. we are ferrettingally in dolo is also on the rivera.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['via ferriti angelic indolo is also on the viviera', 'via ferret angelic indolo is also on the viviera', 'via ferreti angelie in dolo is also on the rivera', 'via ferreter angelic indolo is also on the viviera', 'we are ferrettingally in dolo is also on the rivera']
[ "zoms music is created by improvised manipulation of sound processing equipment", "zombs music is created by improvised manipulation of sound processing equipment", "zoms music is created by improvised manipulation of sound processing equipment", "zoms music is created by improvised manipulation of sound processing equipment", "zom is music is created by improvised manipulation of sound processing equipment" ]
xome is music is created by improvised manipulation of sound processing equipment
zoms music is created by improvised manipulation of sound processing equipment.
zombs music is created by improvised manipulation of sound processing equipment. zoms music is created by improvised manipulation of sound processing equipment. zoms music is created by improvised manipulation of sound processing equipment. zom is music is created by improvised manipulation of sound processing equipment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['zoms music is created by improvised manipulation of sound processing equipment', 'zombs music is created by improvised manipulation of sound processing equipment', 'zoms music is created by improvised manipulation of sound processing equipment', 'zoms music is created by improvised manipulation of sound processing equipment', 'zom is music is created by improvised manipulation of sound processing equipment']
[ "conta realizes that travis still loves jane", "conta realizes that travis still loves jane", "contour realizes that travis still loves jane", "conta realizes that travis still loves jane", "conta realizes that travis still loves jane" ]
hunter realizes that travis still loves jane
conta realizes that travis still loves jane.
conta realizes that travis still loves jane. contour realizes that travis still loves jane. conta realizes that travis still loves jane. conta realizes that travis still loves jane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['conta realizes that travis still loves jane', 'conta realizes that travis still loves jane', 'contour realizes that travis still loves jane', 'conta realizes that travis still loves jane', 'conta realizes that travis still loves jane']
[ "other authors have done this as well", "other authors have done this as well", "other authors have done this as well", "other authors have done this as well", "other authors have done this as well" ]
other authors have done this as well
other authors have done this as well.
other authors have done this as well. other authors have done this as well. other authors have done this as well. other authors have done this as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other authors have done this as well', 'other authors have done this as well', 'other authors have done this as well', 'other authors have done this as well', 'other authors have done this as well']
[ "that is a small copy of the statue in the vatican", "that is a small copy of this statue in the vatican", "there is a small copy of this statue in the vatican", "that is a small copy of the statue in the whitekin", "that is a small copy of the statue in the white kid" ]
there is a small copy of the statue in the vatican
that is a small copy of the statue in the vatican.
that is a small copy of this statue in the vatican. there is a small copy of this statue in the vatican. that is a small copy of the statue in the whitekin. that is a small copy of the statue in the white kid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that is a small copy of the statue in the vatican', 'that is a small copy of this statue in the vatican', 'there is a small copy of this statue in the vatican', 'that is a small copy of the statue in the whitekin', 'that is a small copy of the statue in the white kid']
[ "access is limited to poems with the same color", "access is emitted to poems with the same color", "access is limited to pawns with the same color", "access is limited to pawns of the same color", "access is emitted to pawns with the same color" ]
access is limited to pawns of the same color
access is limited to poems with the same color.
access is emitted to poems with the same color. access is limited to pawns with the same color. access is limited to pawns of the same color. access is emitted to pawns with the same color.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['access is limited to poems with the same color', 'access is emitted to poems with the same color', 'access is limited to pawns with the same color', 'access is limited to pawns of the same color', 'access is emitted to pawns with the same color']
[ "however it has never been directly observed for a black hole", "however it has never been directly observed for a black hole", "however it has never been directly observed for a black hole", "however it has never been directly observed for a black hole", "however it has never been directly observed for a black hole" ]
however it has never been directly observed for a black hole
however it has never been directly observed for a black hole.
however it has never been directly observed for a black hole. however it has never been directly observed for a black hole. however it has never been directly observed for a black hole. however it has never been directly observed for a black hole.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however it has never been directly observed for a black hole', 'however it has never been directly observed for a black hole', 'however it has never been directly observed for a black hole', 'however it has never been directly observed for a black hole', 'however it has never been directly observed for a black hole']
[ "the current director is visho azazi lika", "and the current director is visho azazi lika", "the current director is visho azazi likha", "the current director is visho azhazi lika", "and the current director is visho azazi lika" ]
the current director is visho ajazi lika
the current director is visho azazi lika.
and the current director is visho azazi lika. the current director is visho azazi likha. the current director is visho azhazi lika. and the current director is visho azazi lika.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current director is visho azazi lika', 'and the current director is visho azazi lika', 'the current director is visho azazi likha', 'the current director is visho azhazi lika', 'and the current director is visho azazi lika']
[ "where is the beach also undertook gigs supporting the residents and afx twin amongst others", "where is the beach also undertook gigs supporting the residents and apex twin amongst others", "where is the beach also undertook gigs supporting the residents and afex twin amongst others", "where is the beach also undertook gigs supporting the residents and apex twin amongst others", "where is the beach also undertook gigs supporting the residents and a fex twin amongst others" ]
where is the beach also undertook gigs supporting the residents and aphex twin amongst others
where is the beach also undertook gigs supporting the residents and afx twin amongst others.
where is the beach also undertook gigs supporting the residents and apex twin amongst others. where is the beach also undertook gigs supporting the residents and afex twin amongst others. where is the beach also undertook gigs supporting the residents and apex twin amongst others. where is the beach also undertook gigs supporting the residents and a fex twin amongst others.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['where is the beach also undertook gigs supporting the residents and afx twin amongst others', 'where is the beach also undertook gigs supporting the residents and apex twin amongst others', 'where is the beach also undertook gigs supporting the residents and afex twin amongst others', 'where is the beach also undertook gigs supporting the residents and apex twin amongst others', 'where is the beach also undertook gigs supporting the residents and a fex twin amongst others']
[ "listed by exhibit eo and location", "listed by exhibit eo and location", "listed by exhibit eo and location", "listed by www exhibit io and location", "listed by exhibit e o location" ]
listed by exhibit year and location
listed by exhibit eo and location.
listed by exhibit eo and location. listed by exhibit eo and location. listed by www exhibit io and location. listed by exhibit e o location.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['listed by exhibit eo and location', 'listed by exhibit eo and location', 'listed by exhibit eo and location', 'listed by www exhibit io and location', 'listed by exhibit e o location']
[ "the organization is based in melbourne victoria at melbourne park", "the organization is based in melbourne victoria at melbourne park", "the organization is based in melbourne victoria at melbourne park", "the organization is based in melbourne victoria at melbourne park", "the organization is based in melbourne victoria at melbourne park" ]
the organization is based in melbourne victoria at melbourne park
the organization is based in melbourne victoria at melbourne park.
the organization is based in melbourne victoria at melbourne park. the organization is based in melbourne victoria at melbourne park. the organization is based in melbourne victoria at melbourne park. the organization is based in melbourne victoria at melbourne park.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the organization is based in melbourne victoria at melbourne park', 'the organization is based in melbourne victoria at melbourne park', 'the organization is based in melbourne victoria at melbourne park', 'the organization is based in melbourne victoria at melbourne park', 'the organization is based in melbourne victoria at melbourne park']
[ "later turkish linguist a sumru on soy studied rubyak with him", "later turkish linguist a sumru on soy studied rubyuk with him", "later turkish linguist a s odsoy studied rubyak with him", "later turkish linguist a sumru on zoi studied rubyak with him", "later turkish linguist a sumru on soy studied rubi with him" ]
later turkish linguist a sumru ozsoy studied ubykh with him
later turkish linguist a sumru on soy studied rubyak with him.
later turkish linguist a sumru on soy studied rubyuk with him. later turkish linguist a s odsoy studied rubyak with him. later turkish linguist a sumru on zoi studied rubyak with him. later turkish linguist a sumru on soy studied rubi with him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later turkish linguist a sumru on soy studied rubyak with him', 'later turkish linguist a sumru on soy studied rubyuk with him', 'later turkish linguist a s odsoy studied rubyak with him', 'later turkish linguist a sumru on zoi studied rubyak with him', 'later turkish linguist a sumru on soy studied rubi with him']
[ "another variation is to have a standing vertical spread eagle", "another variation is to have a standing vertical spread eagle", "another variation is to have a standing vertigo spread eagle", "another variation is to have a standing vertical spread ego", "another variation is to have a standing verticals spread eagle" ]
another variation is to have a standing vertical spread eagle
another variation is to have a standing vertical spread eagle.
another variation is to have a standing vertical spread eagle. another variation is to have a standing vertigo spread eagle. another variation is to have a standing vertical spread ego. another variation is to have a standing verticals spread eagle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another variation is to have a standing vertical spread eagle', 'another variation is to have a standing vertical spread eagle', 'another variation is to have a standing vertigo spread eagle', 'another variation is to have a standing vertical spread ego', 'another variation is to have a standing verticals spread eagle']
[ "upon cooling the ammonium salt converts back to theoria", "upon cooling the ammonium salt converts back to theoria", "upon cooling the ammonium salt converts back to theoria", "upon cooling the ammonium salt converts back to theoria", "upon cooling the ammonium salt converts back to theoria" ]
upon cooling the ammonium salt converts back to thiourea
upon cooling the ammonium salt converts back to theoria.
upon cooling the ammonium salt converts back to theoria. upon cooling the ammonium salt converts back to theoria. upon cooling the ammonium salt converts back to theoria. upon cooling the ammonium salt converts back to theoria.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['upon cooling the ammonium salt converts back to theoria', 'upon cooling the ammonium salt converts back to theoria', 'upon cooling the ammonium salt converts back to theoria', 'upon cooling the ammonium salt converts back to theoria', 'upon cooling the ammonium salt converts back to theoria']
[ "next tomorrow it is co office here with portuguese", "next tomorrow it is co office here with portuguese", "at least tomorrow it is co office here with portuguese", "in east chamar it is co office here with portuguese", "next chamar it is co office here with portuguese" ]
in east timor it is co official with portuguese
next tomorrow it is co office here with portuguese.
next tomorrow it is co office here with portuguese. at least tomorrow it is co office here with portuguese. in east chamar it is co office here with portuguese. next chamar it is co office here with portuguese.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['next tomorrow it is co office here with portuguese', 'next tomorrow it is co office here with portuguese', 'at least tomorrow it is co office here with portuguese', 'in east chamar it is co office here with portuguese', 'next chamar it is co office here with portuguese']
[ "the interior is partially populated because of its rough terrain", "the interior is possibly populated because of its rough terrain", "the interior is partially populated because of its rough terrain", "the interior is partially populated because of it is rough terrain", "the interior is partially populated because of it is rough terrain" ]
the interior is sparsely populated because of its rough terrain
the interior is partially populated because of its rough terrain.
the interior is possibly populated because of its rough terrain. the interior is partially populated because of its rough terrain. the interior is partially populated because of it is rough terrain. the interior is partially populated because of it is rough terrain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the interior is partially populated because of its rough terrain', 'the interior is possibly populated because of its rough terrain', 'the interior is partially populated because of its rough terrain', 'the interior is partially populated because of it is rough terrain', 'the interior is partially populated because of it is rough terrain']
[ "this street jog combination is commonly known as triple cocktail", "this streetjar combination is commonly known as triple cocktail", "this street jar combination is commonly known as triple cocktail", "this street drug combination is commonly known as triple cocktail", "the street jog combination is commonly known as triple cocktail" ]
this three drug combination is commonly known as a triple cocktail
this street jog combination is commonly known as triple cocktail.
this streetjar combination is commonly known as triple cocktail. this street jar combination is commonly known as triple cocktail. this street drug combination is commonly known as triple cocktail. the street jog combination is commonly known as triple cocktail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this street jog combination is commonly known as triple cocktail', 'this streetjar combination is commonly known as triple cocktail', 'this street jar combination is commonly known as triple cocktail', 'this street drug combination is commonly known as triple cocktail', 'the street jog combination is commonly known as triple cocktail']
[ "naturalist edward pop wrote most of the articles on america", "naturelist edward pop wrote most of the articles on america", "naturalist edward pop wrote most of the articles on america is", "naturalist inward pop wrote most of the articles on america", "naturelist edward pop wrote most of the articles on america is" ]
naturalist eduard poeppig wrote most of the articles on the americas
naturalist edward pop wrote most of the articles on america.
naturelist edward pop wrote most of the articles on america. naturalist edward pop wrote most of the articles on america is. naturalist inward pop wrote most of the articles on america. naturelist edward pop wrote most of the articles on america is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['naturalist edward pop wrote most of the articles on america', 'naturelist edward pop wrote most of the articles on america', 'naturalist edward pop wrote most of the articles on america is', 'naturalist inward pop wrote most of the articles on america', 'naturelist edward pop wrote most of the articles on america is']
[ "nevertheless italy annexed a significant central portion of damesia and various adriatic islands", "nevertheless italy annexed a significant central portion of darmesia and various adriatic islands", "nevertheless italy annexed a significant central portion of dalmatia and various adriatic islands", "nevertheless italy annexed a significant central portion of damesia and various adriatic islands", "nevertheless italy annexed a significant central portion of darmesia and various adriatic islands" ]
nevertheless italy annexed a significant central portion of dalmatia and various adriatic islands
nevertheless italy annexed a significant central portion of damesia and various adriatic islands.
nevertheless italy annexed a significant central portion of darmesia and various adriatic islands. nevertheless italy annexed a significant central portion of dalmatia and various adriatic islands. nevertheless italy annexed a significant central portion of damesia and various adriatic islands. nevertheless italy annexed a significant central portion of darmesia and various adriatic islands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nevertheless italy annexed a significant central portion of damesia and various adriatic islands', 'nevertheless italy annexed a significant central portion of darmesia and various adriatic islands', 'nevertheless italy annexed a significant central portion of dalmatia and various adriatic islands', 'nevertheless italy annexed a significant central portion of damesia and various adriatic islands', 'nevertheless italy annexed a significant central portion of darmesia and various adriatic islands']
[ "its county seat is elizabeth city", "its county seat is elisabeth city", "its county seat is elizabeth is city", "it is county seat is elizabeth city", "its county seat is a elizabeth city" ]
its county seat is elizabeth city
its county seat is elizabeth city.
its county seat is elisabeth city. its county seat is elizabeth is city. it is county seat is elizabeth city. its county seat is a elizabeth city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its county seat is elizabeth city', 'its county seat is elisabeth city', 'its county seat is elizabeth is city', 'it is county seat is elizabeth city', 'its county seat is a elizabeth city']
[ "it was merged into the existing billant municipality", "it was merged into the existing billant municipality", "it was merged into the existing billent municipality", "it was merged into the existing billionth municipality", "it was merged into the existing billant municipality" ]
it was merged into the existing billund municipality
it was merged into the existing billant municipality.
it was merged into the existing billant municipality. it was merged into the existing billent municipality. it was merged into the existing billionth municipality. it was merged into the existing billant municipality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was merged into the existing billant municipality', 'it was merged into the existing billant municipality', 'it was merged into the existing billent municipality', 'it was merged into the existing billionth municipality', 'it was merged into the existing billant municipality']
[ "the high end of the consumer market emphasizes user control and advanced shooting modes", "the high end of consumer market emphasizes user control and advanced shooting modes", "the high end of the consumer market emphasizes user control and advanced shooting modes", "the high end of the consumer market emphasizes use of control and advanced shooting modes", "the high end of the consumer market emphasizes user control and advanced shooting modes" ]
the high end of the consumer market emphasizes user control and advanced shooting modes
the high end of the consumer market emphasizes user control and advanced shooting modes.
the high end of consumer market emphasizes user control and advanced shooting modes. the high end of the consumer market emphasizes user control and advanced shooting modes. the high end of the consumer market emphasizes use of control and advanced shooting modes. the high end of the consumer market emphasizes user control and advanced shooting modes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the high end of the consumer market emphasizes user control and advanced shooting modes', 'the high end of consumer market emphasizes user control and advanced shooting modes', 'the high end of the consumer market emphasizes user control and advanced shooting modes', 'the high end of the consumer market emphasizes use of control and advanced shooting modes', 'the high end of the consumer market emphasizes user control and advanced shooting modes']
[ "with what shall i sharpen it dear lisa with what", "with what shall i sharpen it dear leesa with what", "with what shall i sharpen it dear liza with what", "with what shall i sharpen it dear lisa with what", "with what shall i sharpen it dear liza with what" ]
with what shall i sharpen it dear liza with what
with what shall i sharpen it dear lisa with what.
with what shall i sharpen it dear leesa with what. with what shall i sharpen it dear liza with what. with what shall i sharpen it dear lisa with what. with what shall i sharpen it dear liza with what.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with what shall i sharpen it dear lisa with what', 'with what shall i sharpen it dear leesa with what', 'with what shall i sharpen it dear liza with what', 'with what shall i sharpen it dear lisa with what', 'with what shall i sharpen it dear liza with what']
[ "join a fusion and limited range of motion or common associated features", "joint effusion and limited range of motion are common associated features", "join a fusion and limited range of motion on a common associated features", "join a fusion and limited range of motion or common associated features", "join a fusion and limited range of motion or common associated features" ]
joint effusion and limited range of motion are common associated features
join a fusion and limited range of motion or common associated features.
joint effusion and limited range of motion are common associated features. join a fusion and limited range of motion on a common associated features. join a fusion and limited range of motion or common associated features. join a fusion and limited range of motion or common associated features.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['join a fusion and limited range of motion or common associated features', 'joint effusion and limited range of motion are common associated features', 'join a fusion and limited range of motion on a common associated features', 'join a fusion and limited range of motion or common associated features', 'join a fusion and limited range of motion or common associated features']
[ "in fact two categories are equivalent if and only if they have isomorphic skeletons", "in fact two categories are equivalent if and only if they have isomorphic skeletons", "in fact two categories are equivalent if and only if they have isomorphic skeletons", "in fact two categories are equivalent if and only if they have isomorphic skeletons", "in fact two categories are equivalent if and only if they have isomorphic skeletons" ]
in fact two categories are equivalent if and only if they have isomorphic skeletons
in fact two categories are equivalent if and only if they have isomorphic skeletons.
in fact two categories are equivalent if and only if they have isomorphic skeletons. in fact two categories are equivalent if and only if they have isomorphic skeletons. in fact two categories are equivalent if and only if they have isomorphic skeletons. in fact two categories are equivalent if and only if they have isomorphic skeletons.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in fact two categories are equivalent if and only if they have isomorphic skeletons', 'in fact two categories are equivalent if and only if they have isomorphic skeletons', 'in fact two categories are equivalent if and only if they have isomorphic skeletons', 'in fact two categories are equivalent if and only if they have isomorphic skeletons', 'in fact two categories are equivalent if and only if they have isomorphic skeletons']
[ "each foot has a variety of housing both on and off campus", "each wood has a variety of housing both on and off campus", "each foot has a variety of housing both on and off campus", "each foot has a variety of housing but on and off campus", "each wood has a variety of housing both on and off campus" ]
edgewood has a variety of housing both on and off campus
each foot has a variety of housing both on and off campus.
each wood has a variety of housing both on and off campus. each foot has a variety of housing both on and off campus. each foot has a variety of housing but on and off campus. each wood has a variety of housing both on and off campus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each foot has a variety of housing both on and off campus', 'each wood has a variety of housing both on and off campus', 'each foot has a variety of housing both on and off campus', 'each foot has a variety of housing but on and off campus', 'each wood has a variety of housing both on and off campus']
[ "cross country tend to enhance it so it is gradually to half hourly on this route", "cross country tend to enhance this so this gradually to half hourly on this route", "cross country tend to enhance this so as gradually to half hourly on this route", "cross country tend to enhance their service gradually to half hourly on this route", "cross country tend to enhance this so this gradually to half hourly on this route" ]
crosscountry intend to enhance their service gradually to half hourly on this route
cross country tend to enhance it so it is gradually to half hourly on this route.
cross country tend to enhance this so this gradually to half hourly on this route. cross country tend to enhance this so as gradually to half hourly on this route. cross country tend to enhance their service gradually to half hourly on this route. cross country tend to enhance this so this gradually to half hourly on this route.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cross country tend to enhance it so it is gradually to half hourly on this route', 'cross country tend to enhance this so this gradually to half hourly on this route', 'cross country tend to enhance this so as gradually to half hourly on this route', 'cross country tend to enhance their service gradually to half hourly on this route', 'cross country tend to enhance this so this gradually to half hourly on this route']
[ "mughal ford overlooks the leg from the top of a hill", "mughal ford overlooks the lake from the top of a hill", "mughal ford over looks the leg from the top of a hill", "mogul ford overlooks the lake from the top of a hill", "mughal ford who looks the leg from the top of a hill" ]
moghul fort overlooks the lake from the top of a hill
mughal ford overlooks the leg from the top of a hill.
mughal ford overlooks the lake from the top of a hill. mughal ford over looks the leg from the top of a hill. mogul ford overlooks the lake from the top of a hill. mughal ford who looks the leg from the top of a hill.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mughal ford overlooks the leg from the top of a hill', 'mughal ford overlooks the lake from the top of a hill', 'mughal ford over looks the leg from the top of a hill', 'mogul ford overlooks the lake from the top of a hill', 'mughal ford who looks the leg from the top of a hill']
[ "florism sees politics primarily as a contest among competing interest groups", "fluorism sees politics primarily as a contest among competing interest groups", "plurism sees politics primarily as a contest among competing interest groups", "flourism sees politics primarily as a contest among competing interest groups", "florism sees politics primary as a contest among competing interest groups" ]
pluralism sees politics primarily as a contest among competing interest groups
florism sees politics primarily as a contest among competing interest groups.
fluorism sees politics primarily as a contest among competing interest groups. plurism sees politics primarily as a contest among competing interest groups. flourism sees politics primarily as a contest among competing interest groups. florism sees politics primary as a contest among competing interest groups.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['florism sees politics primarily as a contest among competing interest groups', 'fluorism sees politics primarily as a contest among competing interest groups', 'plurism sees politics primarily as a contest among competing interest groups', 'flourism sees politics primarily as a contest among competing interest groups', 'florism sees politics primary as a contest among competing interest groups']
[ "hardly was also a keyboard player for the cult hero project", "hartley was also a keyboard player for the cult hero project", "hardly was also a keyboard player for the cult hero project", "hardly was also a keyboard player for the cult hero project", "hardly was also a keyboard player for the colt hero project" ]
hartley was also a keyboard player for the cult hero project
hardly was also a keyboard player for the cult hero project.
hartley was also a keyboard player for the cult hero project. hardly was also a keyboard player for the cult hero project. hardly was also a keyboard player for the cult hero project. hardly was also a keyboard player for the colt hero project.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hardly was also a keyboard player for the cult hero project', 'hartley was also a keyboard player for the cult hero project', 'hardly was also a keyboard player for the cult hero project', 'hardly was also a keyboard player for the cult hero project', 'hardly was also a keyboard player for the colt hero project']
[ "previously cain and evangelos been charged with the murder of louis cain", "previously gained and evangelos been charged with the murder of louis cain", "previously gained and evangelicals been charged with the murder of louis cain", "previously kaint and evangelos been charged with the murder of louis kaint", "previously gained and evangelos being charged with the murder of louis cain" ]
previously keith and evangelos been charged with the murder of lewis caine
previously cain and evangelos been charged with the murder of louis cain.
previously gained and evangelos been charged with the murder of louis cain. previously gained and evangelicals been charged with the murder of louis cain. previously kaint and evangelos been charged with the murder of louis kaint. previously gained and evangelos being charged with the murder of louis cain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['previously cain and evangelos been charged with the murder of louis cain', 'previously gained and evangelos been charged with the murder of louis cain', 'previously gained and evangelicals been charged with the murder of louis cain', 'previously kaint and evangelos been charged with the murder of louis kaint', 'previously gained and evangelos being charged with the murder of louis cain']
[ "it is among team sales earliest published work", "it is among team sales earliest publish work", "it is among tim is sales earliest published work", "it is among team sales earliest published work", "it is among team sales earliest published work" ]
it is among tim sale is earliest published work
it is among team sales earliest published work.
it is among team sales earliest publish work. it is among tim is sales earliest published work. it is among team sales earliest published work. it is among team sales earliest published work.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is among team sales earliest published work', 'it is among team sales earliest publish work', 'it is among tim is sales earliest published work', 'it is among team sales earliest published work', 'it is among team sales earliest published work']
[ "start the hijackers open the door and fire around the aircraft", "start the hijackers open the door and fire around the aircraft", "start the hijakus open the door and fire around the aircraft", "start the hijackers open the door and fire it around the aircraft", "start the hijakus open the door and fire around the aircraft" ]
instead the hijackers opened the door and fired around the aircraft
start the hijackers open the door and fire around the aircraft.
start the hijackers open the door and fire around the aircraft. start the hijakus open the door and fire around the aircraft. start the hijackers open the door and fire it around the aircraft. start the hijakus open the door and fire around the aircraft.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['start the hijackers open the door and fire around the aircraft', 'start the hijackers open the door and fire around the aircraft', 'start the hijakus open the door and fire around the aircraft', 'start the hijackers open the door and fire it around the aircraft', 'start the hijakus open the door and fire around the aircraft']
[ "the river flows over the millstone grit outcrop from some way beyond heapsed bridge", "the river flows over the millstone grit out crop from some way beyond heapsed bridge", "the river flows over the millstone grit outcrop from some way beyond hipst bridge", "the river flows over the millstone grit out crop from some way beyond hipst bridge", "the river flows over the milestone grit outcrop from some way beyond heapsed bridge" ]
the river flows over the millstone grit outcrop from some way beyond hepste bridge
the river flows over the millstone grit outcrop from some way beyond heapsed bridge.
the river flows over the millstone grit out crop from some way beyond heapsed bridge. the river flows over the millstone grit outcrop from some way beyond hipst bridge. the river flows over the millstone grit out crop from some way beyond hipst bridge. the river flows over the milestone grit outcrop from some way beyond heapsed bridge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the river flows over the millstone grit outcrop from some way beyond heapsed bridge', 'the river flows over the millstone grit out crop from some way beyond heapsed bridge', 'the river flows over the millstone grit outcrop from some way beyond hipst bridge', 'the river flows over the millstone grit out crop from some way beyond hipst bridge', 'the river flows over the milestone grit outcrop from some way beyond heapsed bridge']
[ "the german defense force was finally withdrawn and disbanded and quite was restored", "the german defense force was finally withdrawn and disbanded and quite was restored", "the german defense force was finally withdrawn and disbanded and quite was restored", "the german defense force was finally withdrawn and disbanded and quite was restored", "the german defense force was finally withdrawn and disbanded and quite was restored" ]
the german defense force was finally withdrawn and disbanded and quiet was restored
the german defense force was finally withdrawn and disbanded and quite was restored.
the german defense force was finally withdrawn and disbanded and quite was restored. the german defense force was finally withdrawn and disbanded and quite was restored. the german defense force was finally withdrawn and disbanded and quite was restored. the german defense force was finally withdrawn and disbanded and quite was restored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the german defense force was finally withdrawn and disbanded and quite was restored', 'the german defense force was finally withdrawn and disbanded and quite was restored', 'the german defense force was finally withdrawn and disbanded and quite was restored', 'the german defense force was finally withdrawn and disbanded and quite was restored', 'the german defense force was finally withdrawn and disbanded and quite was restored']
[ "he may have studied with synibaldo sorza", "he may have studied with synibaldo sorza", "he may have studied with sinibeldo sorza", "he may have studied with cinibaldo sorza", "he may have studied with synibaldo shorza" ]
he may have studied with sinibaldo scorza
he may have studied with synibaldo sorza.
he may have studied with synibaldo sorza. he may have studied with sinibeldo sorza. he may have studied with cinibaldo sorza. he may have studied with synibaldo shorza.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he may have studied with synibaldo sorza', 'he may have studied with synibaldo sorza', 'he may have studied with sinibeldo sorza', 'he may have studied with cinibaldo sorza', 'he may have studied with synibaldo shorza']
[ "this first info follow saber is first playoff series", "this first info follows saber is first playoff series", "this first impression follows saber is first playoff series", "this was the profile of saber is first playoff series", "this first thing for follow saber is first playoff series" ]
this was the buffalo sabers first playoff series
this first info follow saber is first playoff series.
this first info follows saber is first playoff series. this first impression follows saber is first playoff series. this was the profile of saber is first playoff series. this first thing for follow saber is first playoff series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this first info follow saber is first playoff series', 'this first info follows saber is first playoff series', 'this first impression follows saber is first playoff series', 'this was the profile of saber is first playoff series', 'this first thing for follow saber is first playoff series']
[ "one wall of the door is home to the staunch tavern restaurant", "one wall of the door is home to the stouch tavern restaurant", "one wall of the door is home to the stouch tavern restaurant", "warm all the door is home to the staunch tavern restaurant", "one wall of the door is home to the staunch tavern restaurant" ]
womelsdorf is home to the stouch tavern restaurant
one wall of the door is home to the staunch tavern restaurant.
one wall of the door is home to the stouch tavern restaurant. one wall of the door is home to the stouch tavern restaurant. warm all the door is home to the staunch tavern restaurant. one wall of the door is home to the staunch tavern restaurant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one wall of the door is home to the staunch tavern restaurant', 'one wall of the door is home to the stouch tavern restaurant', 'one wall of the door is home to the stouch tavern restaurant', 'warm all the door is home to the staunch tavern restaurant', 'one wall of the door is home to the staunch tavern restaurant']
[ "the album also marks the first appearance of longtime collaborator he bodys to moneymark", "the album also marks the first appearance of longtime collaborator he bodies to moneymark", "the album also marks the first appearance of longtime collaborator he bodies to moneymark", "the album also marks the first appearance of longtime collaborator he bodys to money mark", "the album also marks the first appearance of long time collaborator he bodies to money mark" ]
the album also marks the first appearance of longtime collaborator keyboardist money mark
the album also marks the first appearance of longtime collaborator he bodys to moneymark.
the album also marks the first appearance of longtime collaborator he bodies to moneymark. the album also marks the first appearance of longtime collaborator he bodies to moneymark. the album also marks the first appearance of longtime collaborator he bodys to money mark. the album also marks the first appearance of long time collaborator he bodies to money mark.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album also marks the first appearance of longtime collaborator he bodys to moneymark', 'the album also marks the first appearance of longtime collaborator he bodies to moneymark', 'the album also marks the first appearance of longtime collaborator he bodies to moneymark', 'the album also marks the first appearance of longtime collaborator he bodys to money mark', 'the album also marks the first appearance of long time collaborator he bodies to money mark']
[ "the curators included miranda jullahi rita gonzales and ashtia suparak", "the curators included miranda jullahi rita gonzalez and ashtia suparak", "the curator is included miranda jullahi rita gonzales and ashtia suparak", "the curator is included miranda jullahi rita gonzalez and ashtia suparak", "the curators included miranda jullahi rita gonzales and ashtia suparak" ]
the curators included miranda july rita gonzalez and astria suparak
the curators included miranda jullahi rita gonzales and ashtia suparak.
the curators included miranda jullahi rita gonzalez and ashtia suparak. the curator is included miranda jullahi rita gonzales and ashtia suparak. the curator is included miranda jullahi rita gonzalez and ashtia suparak. the curators included miranda jullahi rita gonzales and ashtia suparak.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the curators included miranda jullahi rita gonzales and ashtia suparak', 'the curators included miranda jullahi rita gonzalez and ashtia suparak', 'the curator is included miranda jullahi rita gonzales and ashtia suparak', 'the curator is included miranda jullahi rita gonzalez and ashtia suparak', 'the curators included miranda jullahi rita gonzales and ashtia suparak']
[ "the ware stretches across the river in both countries", "the were stretches across the river in both countries", "the wire stretches across the river in both countries", "the warehouse stretches across the river in both countries", "the where stretches across the river in both countries" ]
the weir stretches across the river in both counties
the ware stretches across the river in both countries.
the were stretches across the river in both countries. the wire stretches across the river in both countries. the warehouse stretches across the river in both countries. the where stretches across the river in both countries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ware stretches across the river in both countries', 'the were stretches across the river in both countries', 'the wire stretches across the river in both countries', 'the warehouse stretches across the river in both countries', 'the where stretches across the river in both countries']
[ "it is the first day i wanted to provide direct service between paulo and australia", "it is the first day i wanted to provide direct service between paulu and australia", "it is the first day i wanted to provide direct service", "it is the first day i want to provide direct service between paulo and australia", "it is the first day i want to provide direct service between paulu and australia" ]
it was the first airline to provide direct service between palau and australia
it is the first day i wanted to provide direct service between paulo and australia.
it is the first day i wanted to provide direct service between paulu and australia. it is the first day i wanted to provide direct service. it is the first day i want to provide direct service between paulo and australia. it is the first day i want to provide direct service between paulu and australia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the first day i wanted to provide direct service between paulo and australia', 'it is the first day i wanted to provide direct service between paulu and australia', 'it is the first day i wanted to provide direct service', 'it is the first day i want to provide direct service between paulo and australia', 'it is the first day i want to provide direct service between paulu and australia']
[ "suppose we are given a preference relation r on utility profiles", "suppose we are given a preference relation are on utility profiles", "suppose we are given a preference relation r on utility profiles", "sipos we are given preference relation are on utility profiles", "sipos we are given preference relation are on utility profiles" ]
suppose we are given a preference relation r on utility profiles
suppose we are given a preference relation r on utility profiles.
suppose we are given a preference relation are on utility profiles. suppose we are given a preference relation r on utility profiles. sipos we are given preference relation are on utility profiles. sipos we are given preference relation are on utility profiles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['suppose we are given a preference relation r on utility profiles', 'suppose we are given a preference relation are on utility profiles', 'suppose we are given a preference relation r on utility profiles', 'sipos we are given preference relation are on utility profiles', 'sipos we are given preference relation are on utility profiles']
[ "digital information screens and timetable posters provide train running details", "digital information screens and timetable posters provide train running details", "digital information screens and timetable posters provide train running details", "digital information screens and timetable posters provide trained running details", "digital information screens and timetable posters provide train running details" ]
digital information screens and timetable posters provide train running details
digital information screens and timetable posters provide train running details.
digital information screens and timetable posters provide train running details. digital information screens and timetable posters provide train running details. digital information screens and timetable posters provide trained running details. digital information screens and timetable posters provide train running details.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['digital information screens and timetable posters provide train running details', 'digital information screens and timetable posters provide train running details', 'digital information screens and timetable posters provide train running details', 'digital information screens and timetable posters provide trained running details', 'digital information screens and timetable posters provide train running details']
[ "when another component on the line goes active it overrides the polar resistor", "when another component on the line goes active it overrides the pull up resistor", "when another component on the line goes active it overrides the pull up resistor", "when another component on the line goes active it overrides the polar resistor", "then another component on the line goes active it overrides the polar resistor" ]
when another component on the line goes active it overrides the pull up resistor
when another component on the line goes active it overrides the polar resistor.
when another component on the line goes active it overrides the pull up resistor. when another component on the line goes active it overrides the pull up resistor. when another component on the line goes active it overrides the polar resistor. then another component on the line goes active it overrides the polar resistor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when another component on the line goes active it overrides the polar resistor', 'when another component on the line goes active it overrides the pull up resistor', 'when another component on the line goes active it overrides the pull up resistor', 'when another component on the line goes active it overrides the polar resistor', 'then another component on the line goes active it overrides the polar resistor']
[ "the first tutorial to open in shamro mumbai", "the first tutorial to open in chambu mumbai", "the first tutorial to open in shamro mumbai", "the first tutorial to open in chambu mumbai", "the first tutorial to open in chambu mumbai" ]
the first outlet opened in chembur mumbai
the first tutorial to open in shamro mumbai.
the first tutorial to open in chambu mumbai. the first tutorial to open in shamro mumbai. the first tutorial to open in chambu mumbai. the first tutorial to open in chambu mumbai.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first tutorial to open in shamro mumbai', 'the first tutorial to open in chambu mumbai', 'the first tutorial to open in shamro mumbai', 'the first tutorial to open in chambu mumbai', 'the first tutorial to open in chambu mumbai']
[ "they were training for an intense clandestine mission in north africa", "they were training for an intense clandestine mission in north africa", "they were training for an intense clan destiny mission in north africa", "they were training for an intense clan destiny mission in north africa", "they were training for an intense clan destiny mission in north africa" ]
they were training for an intense clandestine mission in north africa
they were training for an intense clandestine mission in north africa.
they were training for an intense clandestine mission in north africa. they were training for an intense clan destiny mission in north africa. they were training for an intense clan destiny mission in north africa. they were training for an intense clan destiny mission in north africa.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they were training for an intense clandestine mission in north africa', 'they were training for an intense clandestine mission in north africa', 'they were training for an intense clan destiny mission in north africa', 'they were training for an intense clan destiny mission in north africa', 'they were training for an intense clan destiny mission in north africa']
[ "for example chicken establishes a social order within the group based on the picking behaviors", "for example chicken establishes a social order within the group based on the picking behaviors", "for example check and establish a social order within the group based on the picking behaviors", "for example check and establish a social order within the group based on the picking behaviors", "for example chicken to establish a social order within the group based on the picking behaviors" ]
for example chickens establish a social order within the group based on pecking behaviors
for example chicken establishes a social order within the group based on the picking behaviors.
for example chicken establishes a social order within the group based on the picking behaviors. for example check and establish a social order within the group based on the picking behaviors. for example check and establish a social order within the group based on the picking behaviors. for example chicken to establish a social order within the group based on the picking behaviors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for example chicken establishes a social order within the group based on the picking behaviors', 'for example chicken establishes a social order within the group based on the picking behaviors', 'for example check and establish a social order within the group based on the picking behaviors', 'for example check and establish a social order within the group based on the picking behaviors', 'for example chicken to establish a social order within the group based on the picking behaviors']
[ "the bearish includes four hamlets and the former men is to the airport", "the bearish includes four hamlets and the former men is tony airport", "the bearish includes four hemlets and the former men is toenail port", "the bearish includes four hamlets and the former men is tunnel airport", "the bearish includes four hamlets and the former men is tiny airport" ]
the parish includes four hamlets and the former manston airport
the bearish includes four hamlets and the former men is to the airport.
the bearish includes four hamlets and the former men is tony airport. the bearish includes four hemlets and the former men is toenail port. the bearish includes four hamlets and the former men is tunnel airport. the bearish includes four hamlets and the former men is tiny airport.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bearish includes four hamlets and the former men is to the airport', 'the bearish includes four hamlets and the former men is tony airport', 'the bearish includes four hemlets and the former men is toenail port', 'the bearish includes four hamlets and the former men is tunnel airport', 'the bearish includes four hamlets and the former men is tiny airport']
[ "the profile of the mountain is yellow with blue colored sky above", "the profile of the mountain is yellow with blue colored sky above", "the profile of the mountain is yellow with blue colored is sky blue", "the profile of the mountain is yellow with blue colored is sky above", "the profile of the mountain is yellow with blue colored sky above" ]
the profile of the mountain is yellow with a blue colored sky above
the profile of the mountain is yellow with blue colored sky above.
the profile of the mountain is yellow with blue colored sky above. the profile of the mountain is yellow with blue colored is sky blue. the profile of the mountain is yellow with blue colored is sky above. the profile of the mountain is yellow with blue colored sky above.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the profile of the mountain is yellow with blue colored sky above', 'the profile of the mountain is yellow with blue colored sky above', 'the profile of the mountain is yellow with blue colored is sky blue', 'the profile of the mountain is yellow with blue colored is sky above', 'the profile of the mountain is yellow with blue colored sky above']
[ "additionally janssen design kaufmann is department store in witzburg", "additionally janssen design kaufmann is department store in witzburg", "additionally janssen design kaufmann is department store in wittsburg", "additionally janssen design kaufmann is department store in witzberg", "additionally janssen design kaufmann is department store in witzberg" ]
additionally janssen designed kaufmann is department store in pittsburgh
additionally janssen design kaufmann is department store in witzburg.
additionally janssen design kaufmann is department store in witzburg. additionally janssen design kaufmann is department store in wittsburg. additionally janssen design kaufmann is department store in witzberg. additionally janssen design kaufmann is department store in witzberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['additionally janssen design kaufmann is department store in witzburg', 'additionally janssen design kaufmann is department store in witzburg', 'additionally janssen design kaufmann is department store in wittsburg', 'additionally janssen design kaufmann is department store in witzberg', 'additionally janssen design kaufmann is department store in witzberg']
[ "its capital was the town of stolberg now in saxony and holt germany", "it is capital worth the town of stolberg now in saxony and holt germany", "its capital worth the town of stolberg now in saxony and holt germany", "its capital was the town of stolberg now in saxony and hold germany", "it is capital worth the town of stolberg now in saxony and hold germany" ]
its capital was the town of stolberg now in saxony anhalt germany
its capital was the town of stolberg now in saxony and holt germany.
it is capital worth the town of stolberg now in saxony and holt germany. its capital worth the town of stolberg now in saxony and holt germany. its capital was the town of stolberg now in saxony and hold germany. it is capital worth the town of stolberg now in saxony and hold germany.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its capital was the town of stolberg now in saxony and holt germany', 'it is capital worth the town of stolberg now in saxony and holt germany', 'its capital worth the town of stolberg now in saxony and holt germany', 'its capital was the town of stolberg now in saxony and hold germany', 'it is capital worth the town of stolberg now in saxony and hold germany']
[ "a cowboy trying to rope a bull while on a horse", "a cowboy trying to rope a bull while on a horse", "a cowboy trying to rope a bull while on the horse", "a cowboy trying to rope a bull while on a horse", "a cowboy trying to rope a bull while on the horse" ]
a cowboy trying to rope a bull while on a horse
a cowboy trying to rope a bull while on a horse.
a cowboy trying to rope a bull while on a horse. a cowboy trying to rope a bull while on the horse. a cowboy trying to rope a bull while on a horse. a cowboy trying to rope a bull while on the horse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a cowboy trying to rope a bull while on a horse', 'a cowboy trying to rope a bull while on a horse', 'a cowboy trying to rope a bull while on the horse', 'a cowboy trying to rope a bull while on a horse', 'a cowboy trying to rope a bull while on the horse']
[ "this is a festival which takes place usually at the end of june", "this is a festival which takes place usually at the end of june", "this is a festival which takes place usually at the end of june", "this is a festival which takes place usually at the end of june", "this is a festival which takes place usually at the end of june" ]
the is a festival which takes place usually at the end of june
this is a festival which takes place usually at the end of june.
this is a festival which takes place usually at the end of june. this is a festival which takes place usually at the end of june. this is a festival which takes place usually at the end of june. this is a festival which takes place usually at the end of june.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a festival which takes place usually at the end of june', 'this is a festival which takes place usually at the end of june', 'this is a festival which takes place usually at the end of june', 'this is a festival which takes place usually at the end of june', 'this is a festival which takes place usually at the end of june']
[ "the interplay between one and another is unknown", "the interplay between one and another is unknown", "the interplay between one and another is unknown", "the interplay between one and another is unknown", "the interplay between one and another is unknown" ]
the interplay between one and another is unknown
the interplay between one and another is unknown.
the interplay between one and another is unknown. the interplay between one and another is unknown. the interplay between one and another is unknown. the interplay between one and another is unknown.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the interplay between one and another is unknown', 'the interplay between one and another is unknown', 'the interplay between one and another is unknown', 'the interplay between one and another is unknown', 'the interplay between one and another is unknown']
[ "two men near a lake of fishing poles out into the lake", "two men near a lake of fishing poles adding to the lake", "two men near a lake of fishing poles adding to the lake", "two men near a lake the fishing poles out into the lake", "two men near a lake the fishing poles out into the lake" ]
two men near a lake with fishing poles out into the lake
two men near a lake of fishing poles out into the lake.
two men near a lake of fishing poles adding to the lake. two men near a lake of fishing poles adding to the lake. two men near a lake the fishing poles out into the lake. two men near a lake the fishing poles out into the lake.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two men near a lake of fishing poles out into the lake', 'two men near a lake of fishing poles adding to the lake', 'two men near a lake of fishing poles adding to the lake', 'two men near a lake the fishing poles out into the lake', 'two men near a lake the fishing poles out into the lake']
[ "if i did not i did not", "if i did not i did not", "if i did not i did not", "if i did not i did not", "if i did not i did not" ]
if i did not i did not
if i did not i did not.
if i did not i did not. if i did not i did not. if i did not i did not. if i did not i did not.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if i did not i did not', 'if i did not i did not', 'if i did not i did not', 'if i did not i did not', 'if i did not i did not']
[ "as a result the outer rim is regular and poorly defined", "as a result the outer rim is irregular and poorly defined", "as a result the outer rim is regular and poorly defined", "as a result the outer rim is irregular and poorly defined", "as a result the outer rim is circular and poorly defined" ]
as a result the outer rim is irregular and poorly defined
as a result the outer rim is regular and poorly defined.
as a result the outer rim is irregular and poorly defined. as a result the outer rim is regular and poorly defined. as a result the outer rim is irregular and poorly defined. as a result the outer rim is circular and poorly defined.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a result the outer rim is regular and poorly defined', 'as a result the outer rim is irregular and poorly defined', 'as a result the outer rim is regular and poorly defined', 'as a result the outer rim is irregular and poorly defined', 'as a result the outer rim is circular and poorly defined']
[ "this was to be by far the longest route attempted", "this was to be bifur the longest route attempted", "this was to be by far the longest route attempted", "this was to be bifa the longest route attempted", "this was to be by far the longest route attempted" ]
this was to be by far the longest route attempted
this was to be by far the longest route attempted.
this was to be bifur the longest route attempted. this was to be by far the longest route attempted. this was to be bifa the longest route attempted. this was to be by far the longest route attempted.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was to be by far the longest route attempted', 'this was to be bifur the longest route attempted', 'this was to be by far the longest route attempted', 'this was to be bifa the longest route attempted', 'this was to be by far the longest route attempted']
[ "common ice hockey shots include wrist shot snapshot snapshot in backhand", "common ice hockey shots include wrist shots snapshot snapshots in backhand", "common ice hockey shots include a wrist shot a snapshot snapshot in backhand", "common ice hockey shots include wrist shot snapshot snapshot and backhand", "common ice hockey shots include wrist shots snapshot snapshot in backhand" ]
common ice hockey shots include wrist shot slap shot snap shot and backhand
common ice hockey shots include wrist shot snapshot snapshot in backhand.
common ice hockey shots include wrist shots snapshot snapshots in backhand. common ice hockey shots include a wrist shot a snapshot snapshot in backhand. common ice hockey shots include wrist shot snapshot snapshot and backhand. common ice hockey shots include wrist shots snapshot snapshot in backhand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['common ice hockey shots include wrist shot snapshot snapshot in backhand', 'common ice hockey shots include wrist shots snapshot snapshots in backhand', 'common ice hockey shots include a wrist shot a snapshot snapshot in backhand', 'common ice hockey shots include wrist shot snapshot snapshot and backhand', 'common ice hockey shots include wrist shots snapshot snapshot in backhand']
[ "the army attended the test but showed no interest in the weapon", "the army attended the testless but showed no interest in the weapon", "the army attended the testless but showed no interest in the weapon", "the army attended the test but showed no interest in the weapon", "the army attended the tests but showed no interest in the weapon" ]
the army attended the tests but showed no interest in the weapon
the army attended the test but showed no interest in the weapon.
the army attended the testless but showed no interest in the weapon. the army attended the testless but showed no interest in the weapon. the army attended the test but showed no interest in the weapon. the army attended the tests but showed no interest in the weapon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the army attended the test but showed no interest in the weapon', 'the army attended the testless but showed no interest in the weapon', 'the army attended the testless but showed no interest in the weapon', 'the army attended the test but showed no interest in the weapon', 'the army attended the tests but showed no interest in the weapon']
[ "a compression level value may be supplied that trade off speed with compression", "a compression level value may be supplied that trade off speed with compression", "a compression level value may be supplied that trade of speed with compression", "a compression level value may be supplied that trade off speed with the compression", "a compression level value may be supplied that trade off speed with a compression" ]
a compression level value may be supplied that trades off speed with compression
a compression level value may be supplied that trade off speed with compression.
a compression level value may be supplied that trade off speed with compression. a compression level value may be supplied that trade of speed with compression. a compression level value may be supplied that trade off speed with the compression. a compression level value may be supplied that trade off speed with a compression.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a compression level value may be supplied that trade off speed with compression', 'a compression level value may be supplied that trade off speed with compression', 'a compression level value may be supplied that trade of speed with compression', 'a compression level value may be supplied that trade off speed with the compression', 'a compression level value may be supplied that trade off speed with a compression']
[ "in the first beta versions web spear have been called celllet express", "in the first beta versions web spear have been called solid express", "in the first beta versions web spear have been called cell let express", "in the first beta versions websphere have been called solid express", "in the first beta versions webspear have been called cellulite express" ]
in the first beta versions websphere had been called servlet express
in the first beta versions web spear have been called celllet express.
in the first beta versions web spear have been called solid express. in the first beta versions web spear have been called cell let express. in the first beta versions websphere have been called solid express. in the first beta versions webspear have been called cellulite express.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the first beta versions web spear have been called celllet express', 'in the first beta versions web spear have been called solid express', 'in the first beta versions web spear have been called cell let express', 'in the first beta versions websphere have been called solid express', 'in the first beta versions webspear have been called cellulite express']
[ "the album was recorded in los angeles and in london at abbey road studios", "the album was recorded in los angeles and in london at arby road studios", "the album was recorded in los angeles and in london at happy road studios", "the album was recorded in los angeles and in london at abbey road studios", "the album was recorded in los angeles and in london at arby road studios" ]
the album was recorded in los angeles and in london at abbey road studios
the album was recorded in los angeles and in london at abbey road studios.
the album was recorded in los angeles and in london at arby road studios. the album was recorded in los angeles and in london at happy road studios. the album was recorded in los angeles and in london at abbey road studios. the album was recorded in los angeles and in london at arby road studios.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album was recorded in los angeles and in london at abbey road studios', 'the album was recorded in los angeles and in london at arby road studios', 'the album was recorded in los angeles and in london at happy road studios', 'the album was recorded in los angeles and in london at abbey road studios', 'the album was recorded in los angeles and in london at arby road studios']
[ "it therefore provides an external analog mixing interface for the computer", "it therefore provides an external analog mixing interface for the computer", "it therefor provides an external analog mixing interface for the computer", "it therefore provides an external analog mixing interface for the computer", "it therefore provides an external analog mixing interface for the computer" ]
it therefore provides an external analog mixing interface for the computer
it therefore provides an external analog mixing interface for the computer.
it therefore provides an external analog mixing interface for the computer. it therefor provides an external analog mixing interface for the computer. it therefore provides an external analog mixing interface for the computer. it therefore provides an external analog mixing interface for the computer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it therefore provides an external analog mixing interface for the computer', 'it therefore provides an external analog mixing interface for the computer', 'it therefor provides an external analog mixing interface for the computer', 'it therefore provides an external analog mixing interface for the computer', 'it therefore provides an external analog mixing interface for the computer']
[ "it is full to train rabbis for the jewish ministry research and community service", "it is full to train rabbis for the jewish ministry of research and community service", "it is full to train rabbis for the jewish ministry research and community service", "it is full to train rabbis for the jewish ministry research and community service", "it is all to train rabbis for the jewish ministry research and community service" ]
it sought to train rabbis for the jewish ministry research and community service
it is full to train rabbis for the jewish ministry research and community service.
it is full to train rabbis for the jewish ministry of research and community service. it is full to train rabbis for the jewish ministry research and community service. it is full to train rabbis for the jewish ministry research and community service. it is all to train rabbis for the jewish ministry research and community service.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is full to train rabbis for the jewish ministry research and community service', 'it is full to train rabbis for the jewish ministry of research and community service', 'it is full to train rabbis for the jewish ministry research and community service', 'it is full to train rabbis for the jewish ministry research and community service', 'it is all to train rabbis for the jewish ministry research and community service']
[ "thus primus household alone provides andrew mac with her only familiar support", "thus primus household alone provides andrew mac with her only familiar support", "thus primers household alone provides andrew mac with her only familiar support", "thus primus household alone provides andrew mac with her only familiar support", "thus primus household alone provides enbremac with her only familiar support" ]
thus priam is household alone provides andromache with her only familial support
thus primus household alone provides andrew mac with her only familiar support.
thus primus household alone provides andrew mac with her only familiar support. thus primers household alone provides andrew mac with her only familiar support. thus primus household alone provides andrew mac with her only familiar support. thus primus household alone provides enbremac with her only familiar support.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thus primus household alone provides andrew mac with her only familiar support', 'thus primus household alone provides andrew mac with her only familiar support', 'thus primers household alone provides andrew mac with her only familiar support', 'thus primus household alone provides andrew mac with her only familiar support', 'thus primus household alone provides enbremac with her only familiar support']
[ "helping columbia is blind was the rival of an ambitious director frank papra", "helping columbia is blind was the rival of an ambitious director frank pappra", "helping colombia is blind was the rival of an ambitious director frank papra", "helping columbia is blind was the rival of an ambitious director frank capra", "helping columbia is lines was the rival of an ambitious director frank papra" ]
helping columbia is climb was the arrival of an ambitious director frank capra
helping columbia is blind was the rival of an ambitious director frank papra.
helping columbia is blind was the rival of an ambitious director frank pappra. helping colombia is blind was the rival of an ambitious director frank papra. helping columbia is blind was the rival of an ambitious director frank capra. helping columbia is lines was the rival of an ambitious director frank papra.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['helping columbia is blind was the rival of an ambitious director frank papra', 'helping columbia is blind was the rival of an ambitious director frank pappra', 'helping colombia is blind was the rival of an ambitious director frank papra', 'helping columbia is blind was the rival of an ambitious director frank capra', 'helping columbia is lines was the rival of an ambitious director frank papra']
[ "has not always been in tbilisi georgia", "has not always wanted to be lizzie georgia", "has not always been in tbilisi georgia", "has not always wanted to be lee c georgia", "has not always wanted to be at least georgia" ]
hasanov was born in tbilisi georgia
has not always been in tbilisi georgia.
has not always wanted to be lizzie georgia. has not always been in tbilisi georgia. has not always wanted to be lee c georgia. has not always wanted to be at least georgia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['has not always been in tbilisi georgia', 'has not always wanted to be lizzie georgia', 'has not always been in tbilisi georgia', 'has not always wanted to be lee c georgia', 'has not always wanted to be at least georgia']
[ "this functionality provided by a name server was considered highly important under spring", "this functionality provided by a name server was considered highly important under spring", "this functionality provided by a name server was considered highly important on the spring", "this functionality provided by a name server was considered highly important under spring", "this functionality provided by a named server was considered highly important under spring" ]
this functionality provided by a name server was considered highly important under spring
this functionality provided by a name server was considered highly important under spring.
this functionality provided by a name server was considered highly important under spring. this functionality provided by a name server was considered highly important on the spring. this functionality provided by a name server was considered highly important under spring. this functionality provided by a named server was considered highly important under spring.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this functionality provided by a name server was considered highly important under spring', 'this functionality provided by a name server was considered highly important under spring', 'this functionality provided by a name server was considered highly important on the spring', 'this functionality provided by a name server was considered highly important under spring', 'this functionality provided by a named server was considered highly important under spring']
[ "and to girl it is running down a heart would float all the way", "and to girl it is running down a hardwood throwed hallway", "and to girl is running down a heart would float all the way", "and to girl it is running down a heart would float wholeway", "and to go it is running down a hardwood throwed hallway" ]
a little girl is running down a hardwood floored hallway
and to girl it is running down a heart would float all the way.
and to girl it is running down a hardwood throwed hallway. and to girl is running down a heart would float all the way. and to girl it is running down a heart would float wholeway. and to go it is running down a hardwood throwed hallway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and to girl it is running down a heart would float all the way', 'and to girl it is running down a hardwood throwed hallway', 'and to girl is running down a heart would float all the way', 'and to girl it is running down a heart would float wholeway', 'and to go it is running down a hardwood throwed hallway']
[ "it is general secretary was edge metal", "its general secretary was h madel", "its general secretary was h maddle", "its general secretary was h madeleine", "it is general secretary was h madel" ]
its general secretary was h merel
it is general secretary was edge metal.
its general secretary was h madel. its general secretary was h maddle. its general secretary was h madeleine. it is general secretary was h madel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is general secretary was edge metal', 'its general secretary was h madel', 'its general secretary was h maddle', 'its general secretary was h madeleine', 'it is general secretary was h madel']
[ "she is currently an associate professor of african american studies at california state university fullerton", "she is currently an associate professor of african american studies at california state university fullerton", "she is currently an associate professor of african american studies at california state university fullerton", "she is currently an associate professor of african american studies at california state university fullerton", "she is currently an associate professor of african american studies at california state university fullerton" ]
she is currently an associate professor of african american studies at california state university fullerton
she is currently an associate professor of african american studies at california state university fullerton.
she is currently an associate professor of african american studies at california state university fullerton. she is currently an associate professor of african american studies at california state university fullerton. she is currently an associate professor of african american studies at california state university fullerton. she is currently an associate professor of african american studies at california state university fullerton.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is currently an associate professor of african american studies at california state university fullerton', 'she is currently an associate professor of african american studies at california state university fullerton', 'she is currently an associate professor of african american studies at california state university fullerton', 'she is currently an associate professor of african american studies at california state university fullerton', 'she is currently an associate professor of african american studies at california state university fullerton']