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[ "on the out that side it caused the thermically high loaded piston", "on the out that side it caused the thermically high loaded piston", "on the outlet side it caused the thermically high loaded piston", "on the out that side it cools the thermically high loaded piston", "on the outlet side it cools the thermically high loaded piston" ]
on the outlet side it cools the thermically high loaded piston
on the out that side it caused the thermically high loaded piston.
on the out that side it caused the thermically high loaded piston. on the outlet side it caused the thermically high loaded piston. on the out that side it cools the thermically high loaded piston. on the outlet side it cools the thermically high loaded piston.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on the out that side it caused the thermically high loaded piston', 'on the out that side it caused the thermically high loaded piston', 'on the outlet side it caused the thermically high loaded piston', 'on the out that side it cools the thermically high loaded piston', 'on the outlet side it cools the thermically high loaded piston']
[ "he was a member of the council of the royal empire society", "he was a member of the council of the royal empires society", "he was a member of the council of the royal empire society", "he was a member of the council of delroyal empire society", "he was a member of the council of delroyal empire society" ]
he was a member of the council of the royal empire society
he was a member of the council of the royal empire society.
he was a member of the council of the royal empires society. he was a member of the council of the royal empire society. he was a member of the council of delroyal empire society. he was a member of the council of delroyal empire society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a member of the council of the royal empire society', 'he was a member of the council of the royal empires society', 'he was a member of the council of the royal empire society', 'he was a member of the council of delroyal empire society', 'he was a member of the council of delroyal empire society']
[ "like most god bless it is inceptuous", "like most wobblers it is insect virus", "like most god bless it is insect virus", "like most god bless it is inceptuous", "like most god bless it is inceptuous" ]
like most warblers it is insectivorous
like most god bless it is inceptuous.
like most wobblers it is insect virus. like most god bless it is insect virus. like most god bless it is inceptuous. like most god bless it is inceptuous.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like most god bless it is inceptuous', 'like most wobblers it is insect virus', 'like most god bless it is insect virus', 'like most god bless it is inceptuous', 'like most god bless it is inceptuous']
[ "the scene then fades out and the movie shows what happened", "the scene then fades out and the movie shows what happened", "the scene then fades out and the movie shows what happened", "the scene then fades out and the movie shows what happened", "the scene then fades out and the movie shows what happened" ]
the scene then fades out and the movie shows what happened
the scene then fades out and the movie shows what happened.
the scene then fades out and the movie shows what happened. the scene then fades out and the movie shows what happened. the scene then fades out and the movie shows what happened. the scene then fades out and the movie shows what happened.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the scene then fades out and the movie shows what happened', 'the scene then fades out and the movie shows what happened', 'the scene then fades out and the movie shows what happened', 'the scene then fades out and the movie shows what happened', 'the scene then fades out and the movie shows what happened']
[ "it was filmed at the laguna sack raceway", "it was filmed at the laguna second raceway", "it was filmed at the laguna sec raceway", "it was filmed at the laguna second raceway", "it was filmed at the laguna sac raceway" ]
it was filmed at laguna seca raceway
it was filmed at the laguna sack raceway.
it was filmed at the laguna second raceway. it was filmed at the laguna sec raceway. it was filmed at the laguna second raceway. it was filmed at the laguna sac raceway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was filmed at the laguna sack raceway', 'it was filmed at the laguna second raceway', 'it was filmed at the laguna sec raceway', 'it was filmed at the laguna second raceway', 'it was filmed at the laguna sac raceway']
[ "the following table lists the significant properties within the park is safe", "the following table lists the significant properties within the park is state", "the following table lists the significant properties within the park state", "the following table lists the significant properties within the parks say", "the following table lists the significant properties within the box say" ]
the following table lists the significant properties within the park estate
the following table lists the significant properties within the park is safe.
the following table lists the significant properties within the park is state. the following table lists the significant properties within the park state. the following table lists the significant properties within the parks say. the following table lists the significant properties within the box say.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the following table lists the significant properties within the park is safe', 'the following table lists the significant properties within the park is state', 'the following table lists the significant properties within the park state', 'the following table lists the significant properties within the parks say', 'the following table lists the significant properties within the box say']
[ "the materials generally include sand gravel and rocks", "the materials generally include sand gravel and rocks", "the materials generally include sand gravel and rocks", "the materials generally include sand gravel and rocks", "the materials generally include sand gravel and rocks" ]
the materials generally include sand gravel and rocks
the materials generally include sand gravel and rocks.
the materials generally include sand gravel and rocks. the materials generally include sand gravel and rocks. the materials generally include sand gravel and rocks. the materials generally include sand gravel and rocks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the materials generally include sand gravel and rocks', 'the materials generally include sand gravel and rocks', 'the materials generally include sand gravel and rocks', 'the materials generally include sand gravel and rocks', 'the materials generally include sand gravel and rocks']
[ "these tournament won by snag put all kids and the national golf map", "these tournament won by snag put all kids and the national golf match", "these tournament won by snake put all kill and the national golf map", "these tournament won by snag put all kill and the national golf map", "these tournament won by sniped put all kill and the national golf map" ]
this tournament won by snead put oak hill on the national golf map
these tournament won by snag put all kids and the national golf map.
these tournament won by snag put all kids and the national golf match. these tournament won by snake put all kill and the national golf map. these tournament won by snag put all kill and the national golf map. these tournament won by sniped put all kill and the national golf map.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these tournament won by snag put all kids and the national golf map', 'these tournament won by snag put all kids and the national golf match', 'these tournament won by snake put all kill and the national golf map', 'these tournament won by snag put all kill and the national golf map', 'these tournament won by sniped put all kill and the national golf map']
[ "the oil a method can be derived in a number of ways", "the euler method can be derived in a number of ways", "the oil and method can be derived in a number of ways", "the oil or method can be derived in a number of ways", "the oiler method can be derived in a number of ways" ]
the euler method can be derived in a number of ways
the oil a method can be derived in a number of ways.
the euler method can be derived in a number of ways. the oil and method can be derived in a number of ways. the oil or method can be derived in a number of ways. the oiler method can be derived in a number of ways.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the oil a method can be derived in a number of ways', 'the euler method can be derived in a number of ways', 'the oil and method can be derived in a number of ways', 'the oil or method can be derived in a number of ways', 'the oiler method can be derived in a number of ways']
[ "main divisions include philosophy social sciences science technology and history", "main divisions include philosophy social sciences science technology and history", "main divisions include philosophy social sciences science technology and history", "main divisions include philosophy social sciences science technology and history", "main divisions include philosophy social sciences science technology and history" ]
main divisions include philosophy social sciences science technology and history
main divisions include philosophy social sciences science technology and history.
main divisions include philosophy social sciences science technology and history. main divisions include philosophy social sciences science technology and history. main divisions include philosophy social sciences science technology and history. main divisions include philosophy social sciences science technology and history.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['main divisions include philosophy social sciences science technology and history', 'main divisions include philosophy social sciences science technology and history', 'main divisions include philosophy social sciences science technology and history', 'main divisions include philosophy social sciences science technology and history', 'main divisions include philosophy social sciences science technology and history']
[ "demand split up soon after", "demand split up on after", "demand split up zone after", "demands split up soon after", "demand split up so on after" ]
the band split up soon after
demand split up soon after.
demand split up on after. demand split up zone after. demands split up soon after. demand split up so on after.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['demand split up soon after', 'demand split up on after', 'demand split up zone after', 'demands split up soon after', 'demand split up so on after']
[ "many towns have created living advent calendars", "many towns have created living advent calendars", "many towns have created living advent calendars", "many towns have created living advent calendars", "many towns have created living advent calendars" ]
many towns have created living advent calendars
many towns have created living advent calendars.
many towns have created living advent calendars. many towns have created living advent calendars. many towns have created living advent calendars. many towns have created living advent calendars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many towns have created living advent calendars', 'many towns have created living advent calendars', 'many towns have created living advent calendars', 'many towns have created living advent calendars', 'many towns have created living advent calendars']
[ "it was night rage is last album to feature gothenburg focused thomas lindbergh", "it was night rage is last album to feature gothenburg focused thomas lindbergh", "it was night rage is last album to feature gothenburg focused thomas lindbergh", "it was night rages last album to feature gothenburg focused thomas lindbergh", "it was night rage is last album to feature gothenburg focused thomas lindberg" ]
it was nightrage is last album to feature gothenburg vocalist tomas lindberg
it was night rage is last album to feature gothenburg focused thomas lindbergh.
it was night rage is last album to feature gothenburg focused thomas lindbergh. it was night rage is last album to feature gothenburg focused thomas lindbergh. it was night rages last album to feature gothenburg focused thomas lindbergh. it was night rage is last album to feature gothenburg focused thomas lindberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was night rage is last album to feature gothenburg focused thomas lindbergh', 'it was night rage is last album to feature gothenburg focused thomas lindbergh', 'it was night rage is last album to feature gothenburg focused thomas lindbergh', 'it was night rages last album to feature gothenburg focused thomas lindbergh', 'it was night rage is last album to feature gothenburg focused thomas lindberg']
[ "appender overstruct coins of strato the first and final zinus", "appender overstruct coins of strato the first and phylozenus", "appendor overstruct coins of strato the first and phylozenus", "appendor overstruck coins of strato the first and phylozenus", "appender overstruck coins of strato the first and phylozenus" ]
epander overstruck coins of strato the first and philoxenus
appender overstruct coins of strato the first and final zinus.
appender overstruct coins of strato the first and phylozenus. appendor overstruct coins of strato the first and phylozenus. appendor overstruck coins of strato the first and phylozenus. appender overstruck coins of strato the first and phylozenus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['appender overstruct coins of strato the first and final zinus', 'appender overstruct coins of strato the first and phylozenus', 'appendor overstruct coins of strato the first and phylozenus', 'appendor overstruck coins of strato the first and phylozenus', 'appender overstruck coins of strato the first and phylozenus']
[ "the new studio is first film starred mary pickford", "the new studio is first film starred mary pickford", "the new studio is first film starred mary pickford", "the new studios first film starred mary pickford", "the new studios first film starred mary pickford" ]
the new studio is first film starred mary pickford
the new studio is first film starred mary pickford.
the new studio is first film starred mary pickford. the new studio is first film starred mary pickford. the new studios first film starred mary pickford. the new studios first film starred mary pickford.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the new studio is first film starred mary pickford', 'the new studio is first film starred mary pickford', 'the new studio is first film starred mary pickford', 'the new studios first film starred mary pickford', 'the new studios first film starred mary pickford']
[ "stone and a sterving wood", "stone and a sterling wood", "stone and a stelvin wood", "stone and a stelving wood", "stone and estelle wiengut" ]
stone and estelle winwood
stone and a sterving wood.
stone and a sterling wood. stone and a stelvin wood. stone and a stelving wood. stone and estelle wiengut.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stone and a sterving wood', 'stone and a sterling wood', 'stone and a stelvin wood', 'stone and a stelving wood', 'stone and estelle wiengut']
[ "nishishio gama station has two opposed side platforms connected by a footbridge", "nishishio gamma station has two opposed side platforms connected by a footbridge", "nishishio garma station has two opposed side platforms connected by a footbridge", "nishi shio gama station has two opposed side platforms connected by a footbridge", "nishi shio garma station has two opposed side platforms connected by a footbridge" ]
nishi shiogama station has two opposed side platforms connected by a footbridge
nishishio gama station has two opposed side platforms connected by a footbridge.
nishishio gamma station has two opposed side platforms connected by a footbridge. nishishio garma station has two opposed side platforms connected by a footbridge. nishi shio gama station has two opposed side platforms connected by a footbridge. nishi shio garma station has two opposed side platforms connected by a footbridge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nishishio gama station has two opposed side platforms connected by a footbridge', 'nishishio gamma station has two opposed side platforms connected by a footbridge', 'nishishio garma station has two opposed side platforms connected by a footbridge', 'nishi shio gama station has two opposed side platforms connected by a footbridge', 'nishi shio garma station has two opposed side platforms connected by a footbridge']
[ "thank you so much a woman in a yellow shirt h n", "thank you so much a woman in a yellow shirt h m", "thank you so much a woman in a yellow shirt h n", "a woman in a yellow shirt h n", "a woman in a yellow shirt h m" ]
a woman in a yellow shirt eating
thank you so much a woman in a yellow shirt h n.
thank you so much a woman in a yellow shirt h m. thank you so much a woman in a yellow shirt h n. a woman in a yellow shirt h n. a woman in a yellow shirt h m.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thank you so much a woman in a yellow shirt h n', 'thank you so much a woman in a yellow shirt h m', 'thank you so much a woman in a yellow shirt h n', 'a woman in a yellow shirt h n', 'a woman in a yellow shirt h m']
[ "young harris is home to young harris college after which it was named", "young harris is home to young harris college after which it was named", "young harris is home to young harris college after which it was named", "young harris is home to young harris college after which it was named", "young harris is home to young harris college after which it was named" ]
young harris is home to young harris college after which it was named
young harris is home to young harris college after which it was named.
young harris is home to young harris college after which it was named. young harris is home to young harris college after which it was named. young harris is home to young harris college after which it was named. young harris is home to young harris college after which it was named.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['young harris is home to young harris college after which it was named', 'young harris is home to young harris college after which it was named', 'young harris is home to young harris college after which it was named', 'young harris is home to young harris college after which it was named', 'young harris is home to young harris college after which it was named']
[ "the ground floor is generally open and spacious often tired for corners", "the graph flow is generally open and spacious often tired for corners", "the grandfather is generally open and spacious often tired for corners", "the graphflow is generally open and spacious often tired for corners", "the ground floor is generally open and spacious often tired for corners" ]
the ground floor is generally open and spacious often tiled for coolness
the ground floor is generally open and spacious often tired for corners.
the graph flow is generally open and spacious often tired for corners. the grandfather is generally open and spacious often tired for corners. the graphflow is generally open and spacious often tired for corners. the ground floor is generally open and spacious often tired for corners.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ground floor is generally open and spacious often tired for corners', 'the graph flow is generally open and spacious often tired for corners', 'the grandfather is generally open and spacious often tired for corners', 'the graphflow is generally open and spacious often tired for corners', 'the ground floor is generally open and spacious often tired for corners']
[ "he did not do it to look good", "he did not do it to look cool", "he did not do it to look good", "he did not do it to look cool", "he did not do it to look good" ]
he did not do it to look cool
he did not do it to look good.
he did not do it to look cool. he did not do it to look good. he did not do it to look cool. he did not do it to look good.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he did not do it to look good', 'he did not do it to look cool', 'he did not do it to look good', 'he did not do it to look cool', 'he did not do it to look good']
[ "brown is also remembered for his career as an author", "browne is also remembered for his career as an author", "brown is also remembered for his carrier as an otter", "brown is also remembered for his carrier as an otter", "browne is also remembered for his career as an author" ]
brown is also remembered for his career as an author
brown is also remembered for his career as an author.
browne is also remembered for his career as an author. brown is also remembered for his carrier as an otter. brown is also remembered for his carrier as an otter. browne is also remembered for his career as an author.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['brown is also remembered for his career as an author', 'browne is also remembered for his career as an author', 'brown is also remembered for his carrier as an otter', 'brown is also remembered for his carrier as an otter', 'browne is also remembered for his career as an author']
[ "she was worshiped from the earliest of times by egyptians", "she was worshiped from the earliest of times by egyptians", "she was worshiped from the earliest of times by egyptian", "she was worshiped from the earliest of times by egyptian", "she was worshiped from the earliest of times by egyptian is" ]
she was worshiped from the earliest of times by egyptians
she was worshiped from the earliest of times by egyptians.
she was worshiped from the earliest of times by egyptians. she was worshiped from the earliest of times by egyptian. she was worshiped from the earliest of times by egyptian. she was worshiped from the earliest of times by egyptian is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was worshiped from the earliest of times by egyptians', 'she was worshiped from the earliest of times by egyptians', 'she was worshiped from the earliest of times by egyptian', 'she was worshiped from the earliest of times by egyptian', 'she was worshiped from the earliest of times by egyptian is']
[ "the occal committee demanded the trick must include the disappearance of the boy", "the occal committee demanded that the trick must include the disappearance of the boy", "the occult committee demanded the trick must include the disappearance of the boy", "the occult committee demanded that the trick must include the disappearance of the boy", "the occult committee demanded that the trick must include the disappearance of the boy" ]
the occult committee demanded the trick must include the disappearance of the boy
the occal committee demanded the trick must include the disappearance of the boy.
the occal committee demanded that the trick must include the disappearance of the boy. the occult committee demanded the trick must include the disappearance of the boy. the occult committee demanded that the trick must include the disappearance of the boy. the occult committee demanded that the trick must include the disappearance of the boy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the occal committee demanded the trick must include the disappearance of the boy', 'the occal committee demanded that the trick must include the disappearance of the boy', 'the occult committee demanded the trick must include the disappearance of the boy', 'the occult committee demanded that the trick must include the disappearance of the boy', 'the occult committee demanded that the trick must include the disappearance of the boy']
[ "the village was named after charles decker a local settler", "the village was named after charles decca a local settler", "the village was named after charles decker a local settler", "the village was named after charles dekker a local settler", "the village was named after charles decca a local settler" ]
the village was named after charles decker a local settler
the village was named after charles decker a local settler.
the village was named after charles decca a local settler. the village was named after charles decker a local settler. the village was named after charles dekker a local settler. the village was named after charles decca a local settler.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village was named after charles decker a local settler', 'the village was named after charles decca a local settler', 'the village was named after charles decker a local settler', 'the village was named after charles dekker a local settler', 'the village was named after charles decca a local settler']
[ "opinion poles showing seat projections are displayed in the table below", "opinion poles showing seat projections have displayed in the table below", "opinion poles showing seat projections are displayed at the table below", "opinion polls showing seat projections are displayed in the table below", "opinion polls showing seat projections have displayed in the table below" ]
opinion polls showing seat projections are displayed in the table below
opinion poles showing seat projections are displayed in the table below.
opinion poles showing seat projections have displayed in the table below. opinion poles showing seat projections are displayed at the table below. opinion polls showing seat projections are displayed in the table below. opinion polls showing seat projections have displayed in the table below.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['opinion poles showing seat projections are displayed in the table below', 'opinion poles showing seat projections have displayed in the table below', 'opinion poles showing seat projections are displayed at the table below', 'opinion polls showing seat projections are displayed in the table below', 'opinion polls showing seat projections have displayed in the table below']
[ "the vertebrae of milaretta have wide neural artists assign a pomoree of their class para reptile", "the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile", "the vertebrae of milaretta have wide neural arches a sign of pomori of their class para reptile", "the vertebrae of milaretta have wide neural artists assign a pomore of their class para reptile", "the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile" ]
the vertebrae of milleretta have wide neural arches a synapomorhy of their class parareptilia
the vertebrae of milaretta have wide neural artists assign a pomoree of their class para reptile.
the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile. the vertebrae of milaretta have wide neural arches a sign of pomori of their class para reptile. the vertebrae of milaretta have wide neural artists assign a pomore of their class para reptile. the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the vertebrae of milaretta have wide neural artists assign a pomoree of their class para reptile', 'the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile', 'the vertebrae of milaretta have wide neural arches a sign of pomori of their class para reptile', 'the vertebrae of milaretta have wide neural artists assign a pomore of their class para reptile', 'the vertebrae of milaretta have wide neural arches assign a pomoree of their class para reptile']
[ "competent judges at eaton gave me to understand so", "competent judges at eatham gave me to understand so", "<UNK>", "competent judgers at eaton gave me to understand so", "competent judges at eaton gave me to understand so" ]
competent judges at eton gave me to understand so
competent judges at eaton gave me to understand so.
competent judges at eatham gave me to understand so. <unk>. competent judgers at eaton gave me to understand so. competent judges at eaton gave me to understand so.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['competent judges at eaton gave me to understand so', 'competent judges at eatham gave me to understand so', '<UNK>', 'competent judgers at eaton gave me to understand so', 'competent judges at eaton gave me to understand so']
[ "the greek play is normally performed on a three year rota", "the greek play is normally performed on a three year rota", "the greek play is normally performed on a three year rotar", "the greek play is normally performed on a three year row top", "the greek play is normally performed on a three year row top" ]
the greek play is normally performed on a three year rota
the greek play is normally performed on a three year rota.
the greek play is normally performed on a three year rota. the greek play is normally performed on a three year rotar. the greek play is normally performed on a three year row top. the greek play is normally performed on a three year row top.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the greek play is normally performed on a three year rota', 'the greek play is normally performed on a three year rota', 'the greek play is normally performed on a three year rotar', 'the greek play is normally performed on a three year row top', 'the greek play is normally performed on a three year row top']
[ "son of john ed douglas msn was educated at vailand university in wisconsin", "son of john ed douglas msn was educated at vailant university in wisconsin", "son of john ed douglas msn was educated at vailant university in wisconsin", "son of john ed douglas msn was educated at vailand university in wisconsin", "son of john ed douglas emerson was educated at vailant university in wisconsin" ]
the son of john a douglas emerson was educated at wayland university in wisconsin
son of john ed douglas msn was educated at vailand university in wisconsin.
son of john ed douglas msn was educated at vailant university in wisconsin. son of john ed douglas msn was educated at vailant university in wisconsin. son of john ed douglas msn was educated at vailand university in wisconsin. son of john ed douglas emerson was educated at vailant university in wisconsin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['son of john ed douglas msn was educated at vailand university in wisconsin', 'son of john ed douglas msn was educated at vailant university in wisconsin', 'son of john ed douglas msn was educated at vailant university in wisconsin', 'son of john ed douglas msn was educated at vailand university in wisconsin', 'son of john ed douglas emerson was educated at vailant university in wisconsin']
[ "it was originally known as lincoln park to honor abraham lincoln", "it was originally known as lincoln park to honor abraham lincoln", "it was originally known as lincoln parked on our abraham lincoln", "it was originally known as lincoln park to honor abraham lincoln", "it was originally known as lincoln park toronto abraham lincoln" ]
it was originally known as lincoln park to honor abraham lincoln
it was originally known as lincoln park to honor abraham lincoln.
it was originally known as lincoln park to honor abraham lincoln. it was originally known as lincoln parked on our abraham lincoln. it was originally known as lincoln park to honor abraham lincoln. it was originally known as lincoln park toronto abraham lincoln.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was originally known as lincoln park to honor abraham lincoln', 'it was originally known as lincoln park to honor abraham lincoln', 'it was originally known as lincoln parked on our abraham lincoln', 'it was originally known as lincoln park to honor abraham lincoln', 'it was originally known as lincoln park toronto abraham lincoln']
[ "the air tahiti brand then disappeared", "the air tahiti brand then disappeared", "the air tahiti brand then disappeared", "the air tahiti brand then disappeared", "the air tahiti brand then disappeared" ]
the air tahiti brand then disappeared
the air tahiti brand then disappeared.
the air tahiti brand then disappeared. the air tahiti brand then disappeared. the air tahiti brand then disappeared. the air tahiti brand then disappeared.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the air tahiti brand then disappeared', 'the air tahiti brand then disappeared', 'the air tahiti brand then disappeared', 'the air tahiti brand then disappeared', 'the air tahiti brand then disappeared']
[ "this hazard more than any other doomed the operating life of this engine", "this has a more than any other dude the operating life of this engine", "this hazard more than any other doomed the operating life of this engine", "this has a more than any other doomed the operating life of this engine", "this hazard more than any other doomed the operating life of this engine" ]
this hazard more than any other doomed the operating life of this engine
this hazard more than any other doomed the operating life of this engine.
this has a more than any other dude the operating life of this engine. this hazard more than any other doomed the operating life of this engine. this has a more than any other doomed the operating life of this engine. this hazard more than any other doomed the operating life of this engine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this hazard more than any other doomed the operating life of this engine', 'this has a more than any other dude the operating life of this engine', 'this hazard more than any other doomed the operating life of this engine', 'this has a more than any other doomed the operating life of this engine', 'this hazard more than any other doomed the operating life of this engine']
[ "he worked as a real estate agent and notary public", "he worked as a real estate agent and notary public", "he worked as a real estate agent and notary public", "he worked as a real estate agent and notary public", "he worked as a real estate agent and notary public" ]
he worked as a real estate agent and notary public
he worked as a real estate agent and notary public.
he worked as a real estate agent and notary public. he worked as a real estate agent and notary public. he worked as a real estate agent and notary public. he worked as a real estate agent and notary public.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he worked as a real estate agent and notary public', 'he worked as a real estate agent and notary public', 'he worked as a real estate agent and notary public', 'he worked as a real estate agent and notary public', 'he worked as a real estate agent and notary public']
[ "the team is performance was poor", "the team is performance was poor", "the team is performance was poor", "the team is performance was poor", "the team is performance was poor" ]
the team is performance was poor
the team is performance was poor.
the team is performance was poor. the team is performance was poor. the team is performance was poor. the team is performance was poor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the team is performance was poor', 'the team is performance was poor', 'the team is performance was poor', 'the team is performance was poor', 'the team is performance was poor']
[ "within five minutes she was operating at periscope depth", "within five minutes she was operating at periscope depth", "within five minutes she was operating at periscope depth", "within five minutes she was operating at periscope depth", "within five minutes she was operating at periscope depth" ]
within five minutes she was operating at periscope depth
within five minutes she was operating at periscope depth.
within five minutes she was operating at periscope depth. within five minutes she was operating at periscope depth. within five minutes she was operating at periscope depth. within five minutes she was operating at periscope depth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['within five minutes she was operating at periscope depth', 'within five minutes she was operating at periscope depth', 'within five minutes she was operating at periscope depth', 'within five minutes she was operating at periscope depth', 'within five minutes she was operating at periscope depth']
[ "in this configuration the circuit behaves as a high pass filter", "in this configuration the circuit behaves as a high pass filter", "in this configuration the circuit behaves as a high pass filter", "in this configuration the circuit behaves as a high pass filter", "in this configuration the circuit behaves as a hypospield" ]
in this configuration the circuit behaves as a high pass filter
in this configuration the circuit behaves as a high pass filter.
in this configuration the circuit behaves as a high pass filter. in this configuration the circuit behaves as a high pass filter. in this configuration the circuit behaves as a high pass filter. in this configuration the circuit behaves as a hypospield.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in this configuration the circuit behaves as a high pass filter', 'in this configuration the circuit behaves as a high pass filter', 'in this configuration the circuit behaves as a high pass filter', 'in this configuration the circuit behaves as a high pass filter', 'in this configuration the circuit behaves as a hypospield']
[ "it is so named because of its location adjacent to the mall wood estate", "it is so named because of its location adjacent to the mallwood estate", "it is so named because of its location adjacent to the mall wood estate", "it is so named because of its location adjacent to the mallwood estate", "it is so named because of its location adjacent to the mahalwood estate" ]
it is so named because of its location adjacent to the marlwood estate
it is so named because of its location adjacent to the mall wood estate.
it is so named because of its location adjacent to the mallwood estate. it is so named because of its location adjacent to the mall wood estate. it is so named because of its location adjacent to the mallwood estate. it is so named because of its location adjacent to the mahalwood estate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is so named because of its location adjacent to the mall wood estate', 'it is so named because of its location adjacent to the mallwood estate', 'it is so named because of its location adjacent to the mall wood estate', 'it is so named because of its location adjacent to the mallwood estate', 'it is so named because of its location adjacent to the mahalwood estate']
[ "but as a novel it is alive for love significances to explore", "but as a novel it is alive for love significances to explore", "but as a novel it is a live full of significances to explore", "but as a novel it is alive full of significances to explore", "but as a novel it is alive for love is significances to explore" ]
but as a novel it is alive full of significances to explore
but as a novel it is alive for love significances to explore.
but as a novel it is alive for love significances to explore. but as a novel it is a live full of significances to explore. but as a novel it is alive full of significances to explore. but as a novel it is alive for love is significances to explore.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but as a novel it is alive for love significances to explore', 'but as a novel it is alive for love significances to explore', 'but as a novel it is a live full of significances to explore', 'but as a novel it is alive full of significances to explore', 'but as a novel it is alive for love is significances to explore']
[ "before that time those are only one apps", "before that time those only one apps", "before that time there was only one apps", "before that time those are only one apps", "before that time those are only one apps" ]
before that time there was only one apse
before that time those are only one apps.
before that time those only one apps. before that time there was only one apps. before that time those are only one apps. before that time those are only one apps.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['before that time those are only one apps', 'before that time those only one apps', 'before that time there was only one apps', 'before that time those are only one apps', 'before that time those are only one apps']
[ "this meant that isabella will not sail on the helsinki talent route as originally planned", "this meant that isabelar will not sail on the helsinki talent route as originally planned", "this meant that isabella will not sail on the helsinki tallinn route as originally planned", "this meant that isabella will not sail on the helsinki talon route as originally planned", "this meant that isabella will not sail on the helsinki talin route as originally planned" ]
this meant that isabella will not sail on the helsinki tallinn route as originally planned
this meant that isabella will not sail on the helsinki talent route as originally planned.
this meant that isabelar will not sail on the helsinki talent route as originally planned. this meant that isabella will not sail on the helsinki tallinn route as originally planned. this meant that isabella will not sail on the helsinki talon route as originally planned. this meant that isabella will not sail on the helsinki talin route as originally planned.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this meant that isabella will not sail on the helsinki talent route as originally planned', 'this meant that isabelar will not sail on the helsinki talent route as originally planned', 'this meant that isabella will not sail on the helsinki tallinn route as originally planned', 'this meant that isabella will not sail on the helsinki talon route as originally planned', 'this meant that isabella will not sail on the helsinki talin route as originally planned']
[ "the carriers have also provided aid after natural disasters", "the carriers have also provided aid after natural disasters", "the carriers have also provided aid after natural disasters", "the carriers have also provided aid after natural disasters", "the carriers have also provided aid after natural disasters" ]
the carriers have also provided aid after natural disasters
the carriers have also provided aid after natural disasters.
the carriers have also provided aid after natural disasters. the carriers have also provided aid after natural disasters. the carriers have also provided aid after natural disasters. the carriers have also provided aid after natural disasters.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the carriers have also provided aid after natural disasters', 'the carriers have also provided aid after natural disasters', 'the carriers have also provided aid after natural disasters', 'the carriers have also provided aid after natural disasters', 'the carriers have also provided aid after natural disasters']
[ "the meaning is you have a prince in the custom house", "the meaning is you have a prince in the custom house", "the meaning is you have a prince in the costume house", "the meaning is you have a prince in the costume house", "the main thing is you have a prince in the costume house" ]
for many years he held a post in the custom house
the meaning is you have a prince in the custom house.
the meaning is you have a prince in the custom house. the meaning is you have a prince in the costume house. the meaning is you have a prince in the costume house. the main thing is you have a prince in the costume house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the meaning is you have a prince in the custom house', 'the meaning is you have a prince in the custom house', 'the meaning is you have a prince in the costume house', 'the meaning is you have a prince in the costume house', 'the main thing is you have a prince in the costume house']
[ "the dutch had about sixty dead and fifty wounded", "the dutch had about sixty dead and fifty wounded", "the touch had about sixty dead and fifty wounded", "the dutch had about sixty dead and fifty wounded", "the touch had about sixty dead and fifty wounded" ]
the dutch had about sixty dead and fifty wounded
the dutch had about sixty dead and fifty wounded.
the dutch had about sixty dead and fifty wounded. the touch had about sixty dead and fifty wounded. the dutch had about sixty dead and fifty wounded. the touch had about sixty dead and fifty wounded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dutch had about sixty dead and fifty wounded', 'the dutch had about sixty dead and fifty wounded', 'the touch had about sixty dead and fifty wounded', 'the dutch had about sixty dead and fifty wounded', 'the touch had about sixty dead and fifty wounded']
[ "this crater is white and surrounded by a well defined ray system", "this crater is white and surrounded by a well defined race system", "this creator is white and surrounded by a well defined race system", "this crater is white and surrounded by a well defined gray system", "this crater is white and surrounded by a well defined gray system" ]
this crater is white and surrounded by a well defined ray system
this crater is white and surrounded by a well defined ray system.
this crater is white and surrounded by a well defined race system. this creator is white and surrounded by a well defined race system. this crater is white and surrounded by a well defined gray system. this crater is white and surrounded by a well defined gray system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this crater is white and surrounded by a well defined ray system', 'this crater is white and surrounded by a well defined race system', 'this creator is white and surrounded by a well defined race system', 'this crater is white and surrounded by a well defined gray system', 'this crater is white and surrounded by a well defined gray system']
[ "the current precedent is shannon m grammel", "the current precedent is shannon m grammell", "the current president is shannon m grammel", "the current president is shannon m grammell", "the current precedent is shannon m gramell" ]
the current president is shannon m grammel
the current precedent is shannon m grammel.
the current precedent is shannon m grammell. the current president is shannon m grammel. the current president is shannon m grammell. the current precedent is shannon m gramell.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current precedent is shannon m grammel', 'the current precedent is shannon m grammell', 'the current president is shannon m grammel', 'the current president is shannon m grammell', 'the current precedent is shannon m gramell']
[ "the porsche criteria test is one such application", "the cauchy criteria test is one such application", "the porsche criterium test is one such application", "the porsche criterion test is one such application", "the porsche criterium test is one such application" ]
the cauchy criterion test is one such application
the porsche criteria test is one such application.
the cauchy criteria test is one such application. the porsche criterium test is one such application. the porsche criterion test is one such application. the porsche criterium test is one such application.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the porsche criteria test is one such application', 'the cauchy criteria test is one such application', 'the porsche criterium test is one such application', 'the porsche criterion test is one such application', 'the porsche criterium test is one such application']
[ "today he remains at the head coaching helm", "today he remains at the head coaching helm", "today he remains at the head coaching home", "today he remains at the head coaching helm", "today he remains at the head coaching home" ]
today he remains at the head coaching helm
today he remains at the head coaching helm.
today he remains at the head coaching helm. today he remains at the head coaching home. today he remains at the head coaching helm. today he remains at the head coaching home.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today he remains at the head coaching helm', 'today he remains at the head coaching helm', 'today he remains at the head coaching home', 'today he remains at the head coaching helm', 'today he remains at the head coaching home']
[ "its administrative center was the city of shita", "its administrative center was the city of shita", "its administrative center was the city of shita", "it is administrative center was the city of shita", "its administrative center was the city of shita" ]
its administrative center was the city of chita
its administrative center was the city of shita.
its administrative center was the city of shita. its administrative center was the city of shita. it is administrative center was the city of shita. its administrative center was the city of shita.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its administrative center was the city of shita', 'its administrative center was the city of shita', 'its administrative center was the city of shita', 'it is administrative center was the city of shita', 'its administrative center was the city of shita']
[ "as attorney general mcclelland undertook an extensive review of the international arbitration act", "as attorney general mcleodland undertook an extensive review of the international arbitration act", "as attorney general mcclelland undertook an extensive review of the international arbitration act", "as attorney general macleodland undertook an extensive review of the international arbitration act", "as attorney general mcclellan undertook an extensive review of the international arbitration act" ]
as attorney general mcclelland undertook an extensive review of the international arbitration act
as attorney general mcclelland undertook an extensive review of the international arbitration act.
as attorney general mcleodland undertook an extensive review of the international arbitration act. as attorney general mcclelland undertook an extensive review of the international arbitration act. as attorney general macleodland undertook an extensive review of the international arbitration act. as attorney general mcclellan undertook an extensive review of the international arbitration act.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as attorney general mcclelland undertook an extensive review of the international arbitration act', 'as attorney general mcleodland undertook an extensive review of the international arbitration act', 'as attorney general mcclelland undertook an extensive review of the international arbitration act', 'as attorney general macleodland undertook an extensive review of the international arbitration act', 'as attorney general mcclellan undertook an extensive review of the international arbitration act']
[ "tusk came alongside in heavy seas and lashed herself to the sinking submarine", "dusk came alongside in heavy seas and lashed herself to the sinking submarine", "dusk came alongside in heavy seas and lashed herself to the sinking submarine", "tusk came alongside in heavy seas and lashed herself to the sinking submarine", "tusk came alongside in heavy seas and latched herself to the sinking submarine" ]
tusk came alongside in heavy seas and lashed herself to the sinking submarine
tusk came alongside in heavy seas and lashed herself to the sinking submarine.
dusk came alongside in heavy seas and lashed herself to the sinking submarine. dusk came alongside in heavy seas and lashed herself to the sinking submarine. tusk came alongside in heavy seas and lashed herself to the sinking submarine. tusk came alongside in heavy seas and latched herself to the sinking submarine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tusk came alongside in heavy seas and lashed herself to the sinking submarine', 'dusk came alongside in heavy seas and lashed herself to the sinking submarine', 'dusk came alongside in heavy seas and lashed herself to the sinking submarine', 'tusk came alongside in heavy seas and lashed herself to the sinking submarine', 'tusk came alongside in heavy seas and latched herself to the sinking submarine']
[ "ut is the largest producer of coffee modules in the world", "uchi is the largest producer of coffee modules in the world", "ug is the largest producer of coffee modules in the world", "yuchi is the largest producer of coffee modules in the world", "youtube is the largest producer of coffee modules in the world" ]
uchi is the largest producer of coffee modules in the world
ut is the largest producer of coffee modules in the world.
uchi is the largest producer of coffee modules in the world. ug is the largest producer of coffee modules in the world. yuchi is the largest producer of coffee modules in the world. youtube is the largest producer of coffee modules in the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ut is the largest producer of coffee modules in the world', 'uchi is the largest producer of coffee modules in the world', 'ug is the largest producer of coffee modules in the world', 'yuchi is the largest producer of coffee modules in the world', 'youtube is the largest producer of coffee modules in the world']
[ "in the disastrous early stages smuts served in pretoria far behind the front line", "in the disastrous early stages smot served in pretoria far behind the front line", "in the disastrous early stages smuts served in pretoria far behind the front line", "in the disastrous early stages smuts served in pretoria far behind the front line", "in the disastrous early stages smoth served in pretoria far behind the front line" ]
in the disastrous early stages smuts served in pretoria far behind the front line
in the disastrous early stages smuts served in pretoria far behind the front line.
in the disastrous early stages smot served in pretoria far behind the front line. in the disastrous early stages smuts served in pretoria far behind the front line. in the disastrous early stages smuts served in pretoria far behind the front line. in the disastrous early stages smoth served in pretoria far behind the front line.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the disastrous early stages smuts served in pretoria far behind the front line', 'in the disastrous early stages smot served in pretoria far behind the front line', 'in the disastrous early stages smuts served in pretoria far behind the front line', 'in the disastrous early stages smuts served in pretoria far behind the front line', 'in the disastrous early stages smoth served in pretoria far behind the front line']
[ "the sign eventually became the predominant logograph for keen in general", "the sign eventually became the predominant logo of fokim in general", "the sign eventually became the predominant logograph for keem in general", "the sign eventually became the predominant logograph for keen in general", "the sign eventually became the predominant logograph for keem in general" ]
the sign eventually became the predominant logograph for king in general
the sign eventually became the predominant logograph for keen in general.
the sign eventually became the predominant logo of fokim in general. the sign eventually became the predominant logograph for keem in general. the sign eventually became the predominant logograph for keen in general. the sign eventually became the predominant logograph for keem in general.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sign eventually became the predominant logograph for keen in general', 'the sign eventually became the predominant logo of fokim in general', 'the sign eventually became the predominant logograph for keem in general', 'the sign eventually became the predominant logograph for keen in general', 'the sign eventually became the predominant logograph for keem in general']
[ "the most recent rookie of the year winner is melcom brock dunn", "the most recent rookie of the year winner is melcom rob dunn", "the most recent rookie of the year winner is melcon brock dunn", "the most recent rookie of the year winner is melcom brockdon", "the most recent rookie of the year winner is melcom brock dunn" ]
the most recent rookie of the year winner is malcolm brogdon
the most recent rookie of the year winner is melcom brock dunn.
the most recent rookie of the year winner is melcom rob dunn. the most recent rookie of the year winner is melcon brock dunn. the most recent rookie of the year winner is melcom brockdon. the most recent rookie of the year winner is melcom brock dunn.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the most recent rookie of the year winner is melcom brock dunn', 'the most recent rookie of the year winner is melcom rob dunn', 'the most recent rookie of the year winner is melcon brock dunn', 'the most recent rookie of the year winner is melcom brockdon', 'the most recent rookie of the year winner is melcom brock dunn']
[ "similarly higher efficiency multi junction cells also improve in performance with higher concentration", "similarly higher efficiency multi junction cells also improve in performance with high concentration", "similarly higher efficiency multijunction cells also improve in performance with higher concentration", "similarly higher efficiency multi junction cells also improve in performance with higher concentration", "similarly higher efficiency multi junction cells also improve in performance with high concentration" ]
similarly higher efficiency multijunction cells also improve in performance with high concentration
similarly higher efficiency multi junction cells also improve in performance with higher concentration.
similarly higher efficiency multi junction cells also improve in performance with high concentration. similarly higher efficiency multijunction cells also improve in performance with higher concentration. similarly higher efficiency multi junction cells also improve in performance with higher concentration. similarly higher efficiency multi junction cells also improve in performance with high concentration.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['similarly higher efficiency multi junction cells also improve in performance with higher concentration', 'similarly higher efficiency multi junction cells also improve in performance with high concentration', 'similarly higher efficiency multijunction cells also improve in performance with higher concentration', 'similarly higher efficiency multi junction cells also improve in performance with higher concentration', 'similarly higher efficiency multi junction cells also improve in performance with high concentration']
[ "christmas is almost here has been released in three different editions", "christmas is almost here has been released in three different editions", "christmas is almost here has been released in three different editions", "christmas is almost here has been released in three different editions", "christmas is almost here has been released in three different editions" ]
christmas is almost here has been released in three different editions
christmas is almost here has been released in three different editions.
christmas is almost here has been released in three different editions. christmas is almost here has been released in three different editions. christmas is almost here has been released in three different editions. christmas is almost here has been released in three different editions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['christmas is almost here has been released in three different editions', 'christmas is almost here has been released in three different editions', 'christmas is almost here has been released in three different editions', 'christmas is almost here has been released in three different editions', 'christmas is almost here has been released in three different editions']
[ "his cousin was for jewel delphine paris also politician", "his cousin was for jewel delphine paris also a politician", "this cousin was for jewel delphine paris also politician", "his cousin was virgil delphine paris also politician", "this cousin was for jewel delphine paris also a politician" ]
his cousin was virgil delphini parris also a politician
his cousin was for jewel delphine paris also politician.
his cousin was for jewel delphine paris also a politician. this cousin was for jewel delphine paris also politician. his cousin was virgil delphine paris also politician. this cousin was for jewel delphine paris also a politician.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his cousin was for jewel delphine paris also politician', 'his cousin was for jewel delphine paris also a politician', 'this cousin was for jewel delphine paris also politician', 'his cousin was virgil delphine paris also politician', 'this cousin was for jewel delphine paris also a politician']
[ "see spatial images in hand building", "see spatial images in hand building", "see special images in hand building", "see spatial images in hand building", "see spatial images in hand building" ]
she specializes in hand building
see spatial images in hand building.
see spatial images in hand building. see special images in hand building. see spatial images in hand building. see spatial images in hand building.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['see spatial images in hand building', 'see spatial images in hand building', 'see special images in hand building', 'see spatial images in hand building', 'see spatial images in hand building']
[ "speak to our big but not fluently", "speak to our big but not fluently", "speak to our big but not fluently", "speak to our big but not fluently", "speaks are big but not fluently" ]
badawi speaks arabic but not fluently
speak to our big but not fluently.
speak to our big but not fluently. speak to our big but not fluently. speak to our big but not fluently. speaks are big but not fluently.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['speak to our big but not fluently', 'speak to our big but not fluently', 'speak to our big but not fluently', 'speak to our big but not fluently', 'speaks are big but not fluently']
[ "the club is first goal was scored by fordino in that match", "the club is first goal was scored by fortino in that match", "the club is first goal was scored by faudino in that match", "the clubs first goal was scored by fordino in that match", "the club is first goal was scored by fardino in that match" ]
the club is first goal was scored by fordinho in that match
the club is first goal was scored by fordino in that match.
the club is first goal was scored by fortino in that match. the club is first goal was scored by faudino in that match. the clubs first goal was scored by fordino in that match. the club is first goal was scored by fardino in that match.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the club is first goal was scored by fordino in that match', 'the club is first goal was scored by fortino in that match', 'the club is first goal was scored by faudino in that match', 'the clubs first goal was scored by fordino in that match', 'the club is first goal was scored by fardino in that match']
[ "one of the boys at the school you think", "one of the boys at the school you think", "one of the boys at the school you think", "one of the boys at the school you think", "one of the boys at the school you think" ]
one of the boys at the school you think
one of the boys at the school you think.
one of the boys at the school you think. one of the boys at the school you think. one of the boys at the school you think. one of the boys at the school you think.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the boys at the school you think', 'one of the boys at the school you think', 'one of the boys at the school you think', 'one of the boys at the school you think', 'one of the boys at the school you think']
[ "ali was the close friend of amitab ghosh", "ali was the close friend of amitabh ghosh", "ali was the close friend of amitabh gosh", "ali was the class friend of amitab ghosh", "ali was the class friend of amitabh ghosh" ]
ali was the close friend of amitav ghosh
ali was the close friend of amitab ghosh.
ali was the close friend of amitabh ghosh. ali was the close friend of amitabh gosh. ali was the class friend of amitab ghosh. ali was the class friend of amitabh ghosh.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ali was the close friend of amitab ghosh', 'ali was the close friend of amitabh ghosh', 'ali was the close friend of amitabh gosh', 'ali was the class friend of amitab ghosh', 'ali was the class friend of amitabh ghosh']
[ "the two poor republics had collapsed without any bloodshed", "the two bourre republics had collapsed without any bloodshed", "the two burr republics had collapsed without any bloodshed", "the two boor republics had collapsed without any bloodshed", "the chewbure republic had collapsed without any bloodshed" ]
the two boer republics had collapsed without any bloodshed
the two poor republics had collapsed without any bloodshed.
the two bourre republics had collapsed without any bloodshed. the two burr republics had collapsed without any bloodshed. the two boor republics had collapsed without any bloodshed. the chewbure republic had collapsed without any bloodshed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the two poor republics had collapsed without any bloodshed', 'the two bourre republics had collapsed without any bloodshed', 'the two burr republics had collapsed without any bloodshed', 'the two boor republics had collapsed without any bloodshed', 'the chewbure republic had collapsed without any bloodshed']
[ "it was carrying a single bomb", "it was carrying the single bomb", "he was carrying a single bomb", "it was carrying a single bomb", "he was carrying a single bomb" ]
it was carrying a single bomb
it was carrying a single bomb.
it was carrying the single bomb. he was carrying a single bomb. it was carrying a single bomb. he was carrying a single bomb.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was carrying a single bomb', 'it was carrying the single bomb', 'he was carrying a single bomb', 'it was carrying a single bomb', 'he was carrying a single bomb']
[ "two martial artists wearing protective gear fighting inside a gym", "two martial artists were in protective gear fighting inside a gym", "two martial artists wearing protective gear fighting inside a gym", "two martial artists wear in protective gear fighting inside a gym", "two martial artists wearing protective gear fighting inside a gym" ]
two martial artists wearing protective gear fighting inside a gym
two martial artists wearing protective gear fighting inside a gym.
two martial artists were in protective gear fighting inside a gym. two martial artists wearing protective gear fighting inside a gym. two martial artists wear in protective gear fighting inside a gym. two martial artists wearing protective gear fighting inside a gym.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two martial artists wearing protective gear fighting inside a gym', 'two martial artists were in protective gear fighting inside a gym', 'two martial artists wearing protective gear fighting inside a gym', 'two martial artists wear in protective gear fighting inside a gym', 'two martial artists wearing protective gear fighting inside a gym']
[ "besides there are many models and guest houses of reasonable price and good sales", "besides there are many models and guest houses of reasonable price and good sales", "besides there are many models and guest houses operational well price and good sales", "besides there are many models and guest houses of reasonable price and good sales", "besides there are many models and guest houses of reasonable price and good sales" ]
besides there are many motels and guest houses of reasonable price and good service
besides there are many models and guest houses of reasonable price and good sales.
besides there are many models and guest houses of reasonable price and good sales. besides there are many models and guest houses operational well price and good sales. besides there are many models and guest houses of reasonable price and good sales. besides there are many models and guest houses of reasonable price and good sales.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['besides there are many models and guest houses of reasonable price and good sales', 'besides there are many models and guest houses of reasonable price and good sales', 'besides there are many models and guest houses operational well price and good sales', 'besides there are many models and guest houses of reasonable price and good sales', 'besides there are many models and guest houses of reasonable price and good sales']
[ "not all reaction was negative", "not all reaction was negative", "not all reaction was negative", "not all reaction was negative", "not all reaction was negative" ]
not all reaction was negative
not all reaction was negative.
not all reaction was negative. not all reaction was negative. not all reaction was negative. not all reaction was negative.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not all reaction was negative', 'not all reaction was negative', 'not all reaction was negative', 'not all reaction was negative', 'not all reaction was negative']
[ "as a result of these innovations works became more sectional", "as a result of these innovations works became more sectional", "as a result of these innovations works became more sectional", "as a result of these innovations works became more sectional", "as a result of these innovations works became more sectional" ]
as the result of these innovations works became more sectional
as a result of these innovations works became more sectional.
as a result of these innovations works became more sectional. as a result of these innovations works became more sectional. as a result of these innovations works became more sectional. as a result of these innovations works became more sectional.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a result of these innovations works became more sectional', 'as a result of these innovations works became more sectional', 'as a result of these innovations works became more sectional', 'as a result of these innovations works became more sectional', 'as a result of these innovations works became more sectional']
[ "it was reported that his opening advice was gentleman shut that loud mouth up", "it was reported that his opening advice was gentlemen shut that loud mouth up", "it was reported that his opening advice was gentlemen shut that loud mouth up", "it was reported that his opening advice was gentleman shut that loudmouth up", "it was reported that his opening advice was gentlemen shut that loudmouth up" ]
it was reported that his opening advice was gentlemen shut that loudmouth up
it was reported that his opening advice was gentleman shut that loud mouth up.
it was reported that his opening advice was gentlemen shut that loud mouth up. it was reported that his opening advice was gentlemen shut that loud mouth up. it was reported that his opening advice was gentleman shut that loudmouth up. it was reported that his opening advice was gentlemen shut that loudmouth up.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was reported that his opening advice was gentleman shut that loud mouth up', 'it was reported that his opening advice was gentlemen shut that loud mouth up', 'it was reported that his opening advice was gentlemen shut that loud mouth up', 'it was reported that his opening advice was gentleman shut that loudmouth up', 'it was reported that his opening advice was gentlemen shut that loudmouth up']
[ "to get a box of noodles she slips the computer into a slot", "to get a box of nodules she slips the computer into a slot", "to get a box of nodels she slips the computer into a slot", "to get a box of noodles she slips the computer into a slot", "to get a box of nodules she slips the computer into a slot" ]
to get a box of noodles she slips the computer into a slot
to get a box of noodles she slips the computer into a slot.
to get a box of nodules she slips the computer into a slot. to get a box of nodels she slips the computer into a slot. to get a box of noodles she slips the computer into a slot. to get a box of nodules she slips the computer into a slot.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to get a box of noodles she slips the computer into a slot', 'to get a box of nodules she slips the computer into a slot', 'to get a box of nodels she slips the computer into a slot', 'to get a box of noodles she slips the computer into a slot', 'to get a box of nodules she slips the computer into a slot']
[ "they also find that rama is atmosphere is unbreatable", "they also find that ramas atmosphere is unbreatable", "they also find that rama is atmosphere is unbreavable", "they also find that raman is atmosphere is unbreatable", "they also find that raman is atmosphere is unbreatable" ]
they also find that rama is atmosphere is breathable
they also find that rama is atmosphere is unbreatable.
they also find that ramas atmosphere is unbreatable. they also find that rama is atmosphere is unbreavable. they also find that raman is atmosphere is unbreatable. they also find that raman is atmosphere is unbreatable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also find that rama is atmosphere is unbreatable', 'they also find that ramas atmosphere is unbreatable', 'they also find that rama is atmosphere is unbreavable', 'they also find that raman is atmosphere is unbreatable', 'they also find that raman is atmosphere is unbreatable']
[ "they readily scaven from fishing lines", "they readily scavenged from fishing lines", "they readily scavenge from fishing lines", "they readily skeven from fishing lines", "they readily scavenge from fishing lines" ]
they readily scavenge from fishing lines
they readily scaven from fishing lines.
they readily scavenged from fishing lines. they readily scavenge from fishing lines. they readily skeven from fishing lines. they readily scavenge from fishing lines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they readily scaven from fishing lines', 'they readily scavenged from fishing lines', 'they readily scavenge from fishing lines', 'they readily skeven from fishing lines', 'they readily scavenge from fishing lines']
[ "a tilt table test may also be performed", "a till table test may also be performed", "a tilt table test may also be performed", "a tilt table test may also be performed", "a tilt table test may also be performed" ]
a tilt table test may also be performed
a tilt table test may also be performed.
a till table test may also be performed. a tilt table test may also be performed. a tilt table test may also be performed. a tilt table test may also be performed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a tilt table test may also be performed', 'a till table test may also be performed', 'a tilt table test may also be performed', 'a tilt table test may also be performed', 'a tilt table test may also be performed']
[ "one of the most prominent discrete symmetries in physics is parity symmetry", "one of the most prominent discrete symmetries in physics is parity symmetry", "one of the most prominent discrete symmetries in physics is pareto symmetry", "one of the most prominent discrete symmetries in physics is pareto symmetries", "one of the most prominent discrete symmetries in physics is parytesy metry" ]
one of the most prominent discrete symmetries in physics is parity symmetry
one of the most prominent discrete symmetries in physics is parity symmetry.
one of the most prominent discrete symmetries in physics is parity symmetry. one of the most prominent discrete symmetries in physics is pareto symmetry. one of the most prominent discrete symmetries in physics is pareto symmetries. one of the most prominent discrete symmetries in physics is parytesy metry.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one of the most prominent discrete symmetries in physics is parity symmetry', 'one of the most prominent discrete symmetries in physics is parity symmetry', 'one of the most prominent discrete symmetries in physics is pareto symmetry', 'one of the most prominent discrete symmetries in physics is pareto symmetries', 'one of the most prominent discrete symmetries in physics is parytesy metry']
[ "however not all mutually exclusive events are collectively exhaustive", "however not all mutual exclusive events are collectively exhaustive", "halloween not all mutually exclusive events are collectively exhaustive", "hower and not all mutually exclusive events are collectively exhaustive", "however not all mutually exclusive events are collectively exhaustive" ]
however not all mutually exclusive events are collectively exhaustive
however not all mutually exclusive events are collectively exhaustive.
however not all mutual exclusive events are collectively exhaustive. halloween not all mutually exclusive events are collectively exhaustive. hower and not all mutually exclusive events are collectively exhaustive. however not all mutually exclusive events are collectively exhaustive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however not all mutually exclusive events are collectively exhaustive', 'however not all mutual exclusive events are collectively exhaustive', 'halloween not all mutually exclusive events are collectively exhaustive', 'hower and not all mutually exclusive events are collectively exhaustive', 'however not all mutually exclusive events are collectively exhaustive']
[ "the art of fighting with war friends is tess and jutsu", "the art of fighting with war fans is tess and jutsu", "the art of fighting with war friends is test and due to", "the art of fighting with warfriends is tess and jutsu", "the art of fighting with warfans is tess and jutsu" ]
the art of fighting with war fans is tessenjutsu
the art of fighting with war friends is tess and jutsu.
the art of fighting with war fans is tess and jutsu. the art of fighting with war friends is test and due to. the art of fighting with warfriends is tess and jutsu. the art of fighting with warfans is tess and jutsu.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the art of fighting with war friends is tess and jutsu', 'the art of fighting with war fans is tess and jutsu', 'the art of fighting with war friends is test and due to', 'the art of fighting with warfriends is tess and jutsu', 'the art of fighting with warfans is tess and jutsu']
[ "important series he has worked on include clifton and takata kara", "important series he has worked on in glue clifton and takata kara", "important series he has worked on include clifton and takata kara", "important series he has worked on in glue clifton and takatakara", "important series he has worked on in glue clifton and takatakara" ]
important series he has worked on include clifton and taka takata
important series he has worked on include clifton and takata kara.
important series he has worked on in glue clifton and takata kara. important series he has worked on include clifton and takata kara. important series he has worked on in glue clifton and takatakara. important series he has worked on in glue clifton and takatakara.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['important series he has worked on include clifton and takata kara', 'important series he has worked on in glue clifton and takata kara', 'important series he has worked on include clifton and takata kara', 'important series he has worked on in glue clifton and takatakara', 'important series he has worked on in glue clifton and takatakara']
[ "alternatively the site may be of volcanic corrosion", "alternatively the site may be of volcanic origin", "alternatively the site may be of volcanic corrosion", "alternately the site may be of volcanic corrosion", "alternatively the site may be of volcanic coercion" ]
alternatively the site may be of volcanic origin
alternatively the site may be of volcanic corrosion.
alternatively the site may be of volcanic origin. alternatively the site may be of volcanic corrosion. alternately the site may be of volcanic corrosion. alternatively the site may be of volcanic coercion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['alternatively the site may be of volcanic corrosion', 'alternatively the site may be of volcanic origin', 'alternatively the site may be of volcanic corrosion', 'alternately the site may be of volcanic corrosion', 'alternatively the site may be of volcanic coercion']
[ "a popular champ with the crowd was david may superstar", "a popular champ with a crowd was david may superstar", "a popular champ with a crowd was david may superstar", "a popular champ with the crowd was david may superstar", "a popular chant with the crowd was david may superstar" ]
a popular chant with the crowd was david may superstar
a popular champ with the crowd was david may superstar.
a popular champ with a crowd was david may superstar. a popular champ with a crowd was david may superstar. a popular champ with the crowd was david may superstar. a popular chant with the crowd was david may superstar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a popular champ with the crowd was david may superstar', 'a popular champ with a crowd was david may superstar', 'a popular champ with a crowd was david may superstar', 'a popular champ with the crowd was david may superstar', 'a popular chant with the crowd was david may superstar']
[ "with some exceptions stand out roller coasters normally feature at least one inversion", "with some exceptions stand out roller coasters normally feature at least one in version", "with some exceptions stand out roller coasters normally feature at least one inversion", "with some exceptions stand out roller coasters normally feature at least one in version", "with some exceptions stand out roller coasters normally feature at least one in version" ]
with some exceptions stand up roller coasters normally feature at least one inversion
with some exceptions stand out roller coasters normally feature at least one inversion.
with some exceptions stand out roller coasters normally feature at least one in version. with some exceptions stand out roller coasters normally feature at least one inversion. with some exceptions stand out roller coasters normally feature at least one in version. with some exceptions stand out roller coasters normally feature at least one in version.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with some exceptions stand out roller coasters normally feature at least one inversion', 'with some exceptions stand out roller coasters normally feature at least one in version', 'with some exceptions stand out roller coasters normally feature at least one inversion', 'with some exceptions stand out roller coasters normally feature at least one in version', 'with some exceptions stand out roller coasters normally feature at least one in version']
[ "research shows that fears of increasing crime is often the cause of moral panics", "research shows that fears of increasing crime is often the cause of mortal panics", "research shows that fears of increasing crime is often the cause of moral panics", "research shows that fears of increasing crime is often the cause of moral panics", "research shows that fears of increasing crime is often the cause of moral panics" ]
research shows that fears of increasing crime is often the cause of moral panics
research shows that fears of increasing crime is often the cause of moral panics.
research shows that fears of increasing crime is often the cause of mortal panics. research shows that fears of increasing crime is often the cause of moral panics. research shows that fears of increasing crime is often the cause of moral panics. research shows that fears of increasing crime is often the cause of moral panics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['research shows that fears of increasing crime is often the cause of moral panics', 'research shows that fears of increasing crime is often the cause of mortal panics', 'research shows that fears of increasing crime is often the cause of moral panics', 'research shows that fears of increasing crime is often the cause of moral panics', 'research shows that fears of increasing crime is often the cause of moral panics']
[ "what should they have done ellen", "what should they have done ellen", "what should i have done ellen", "what should i have done ellen", "what should they have done ellen" ]
what should i have done ellen
what should they have done ellen.
what should they have done ellen. what should i have done ellen. what should i have done ellen. what should they have done ellen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what should they have done ellen', 'what should they have done ellen', 'what should i have done ellen', 'what should i have done ellen', 'what should they have done ellen']
[ "the paper is published every wednesday", "the paper is published every venice day", "the paper is published every minus day", "the paper is published every vnsd", "the paper is published every minus day" ]
the paper is published every wednesday
the paper is published every wednesday.
the paper is published every venice day. the paper is published every minus day. the paper is published every vnsd. the paper is published every minus day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the paper is published every wednesday', 'the paper is published every venice day', 'the paper is published every minus day', 'the paper is published every vnsd', 'the paper is published every minus day']
[ "the text do not mention any separate untouchable category in verna classification", "the text do not mention any separate untouchable category in varna classification", "the texts do not mention any separate untouchable category in verna classification", "the texts do not mention any separate untouchable category in varna classification", "the text do not mention any separate untouchable category in werna classification" ]
the texts do not mention any separate untouchable category in varna classification
the text do not mention any separate untouchable category in verna classification.
the text do not mention any separate untouchable category in varna classification. the texts do not mention any separate untouchable category in verna classification. the texts do not mention any separate untouchable category in varna classification. the text do not mention any separate untouchable category in werna classification.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the text do not mention any separate untouchable category in verna classification', 'the text do not mention any separate untouchable category in varna classification', 'the texts do not mention any separate untouchable category in verna classification', 'the texts do not mention any separate untouchable category in varna classification', 'the text do not mention any separate untouchable category in werna classification']
[ "regional fusion combines different cubions of a region of sub region", "regional fusion combines different cuisines of a region of sub region", "regional fusion combines different cuisines of a region of sub region", "regional fusion combines different cubions of a region of sub region", "regional fusion combines different regions of a region of sub region" ]
regional fusion combines different cuisines of a region or sub region
regional fusion combines different cubions of a region of sub region.
regional fusion combines different cuisines of a region of sub region. regional fusion combines different cuisines of a region of sub region. regional fusion combines different cubions of a region of sub region. regional fusion combines different regions of a region of sub region.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['regional fusion combines different cubions of a region of sub region', 'regional fusion combines different cuisines of a region of sub region', 'regional fusion combines different cuisines of a region of sub region', 'regional fusion combines different cubions of a region of sub region', 'regional fusion combines different regions of a region of sub region']
[ "the effect is great at night for the same reason", "the effect is greater at night for the same reason", "the effect is great at night for the same reason", "the effect is great at night for the same reason", "the effect is greater at night for the same reason" ]
the effect is greater at night for the same reason
the effect is great at night for the same reason.
the effect is greater at night for the same reason. the effect is great at night for the same reason. the effect is great at night for the same reason. the effect is greater at night for the same reason.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the effect is great at night for the same reason', 'the effect is greater at night for the same reason', 'the effect is great at night for the same reason', 'the effect is great at night for the same reason', 'the effect is greater at night for the same reason']
[ "he was a member of the education and treasury select committees", "he was a member of the education and treasury select committees", "he was a member of the education and treasurer select committees", "he was a member of the education and treasury select committees", "he was a member of the education and treasury select committees" ]
he was a member of the education and treasury select committees
he was a member of the education and treasury select committees.
he was a member of the education and treasury select committees. he was a member of the education and treasurer select committees. he was a member of the education and treasury select committees. he was a member of the education and treasury select committees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a member of the education and treasury select committees', 'he was a member of the education and treasury select committees', 'he was a member of the education and treasurer select committees', 'he was a member of the education and treasury select committees', 'he was a member of the education and treasury select committees']
[ "hunter caramel blushed for her", "hunter caramel blushed for her", "hunter caramel blessed for her", "hunter caramel blushed for her", "hunter caramel blushed for her" ]
hunter caramel blushed for her
hunter caramel blushed for her.
hunter caramel blushed for her. hunter caramel blessed for her. hunter caramel blushed for her. hunter caramel blushed for her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hunter caramel blushed for her', 'hunter caramel blushed for her', 'hunter caramel blessed for her', 'hunter caramel blushed for her', 'hunter caramel blushed for her']
[ "and the ace is mount tianja the elevation of above sea level", "and the ace is mount tiangra the elevation of above sea level", "and the ace is mount tionja the elevation of above sea level", "and the ace is mount tiangra with elevation of above sea level", "and the ace is mount tianja with elevation of above sea level" ]
in the east is mount tianjara with an elevation of above sea level
and the ace is mount tianja the elevation of above sea level.
and the ace is mount tiangra the elevation of above sea level. and the ace is mount tionja the elevation of above sea level. and the ace is mount tiangra with elevation of above sea level. and the ace is mount tianja with elevation of above sea level.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and the ace is mount tianja the elevation of above sea level', 'and the ace is mount tiangra the elevation of above sea level', 'and the ace is mount tionja the elevation of above sea level', 'and the ace is mount tiangra with elevation of above sea level', 'and the ace is mount tianja with elevation of above sea level']
[ "i could readily believe it", "i could readily believe it", "i could readily believe it", "i could readily believe it", "i could readily believe it" ]
i could readily believe it
i could readily believe it.
i could readily believe it. i could readily believe it. i could readily believe it. i could readily believe it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i could readily believe it', 'i could readily believe it', 'i could readily believe it', 'i could readily believe it', 'i could readily believe it']
[ "the dweb is named for the town of raichur in the raichur district", "the dwab is named for the town of raichur in the raichur district", "the web is named for the town of raichur in the raichur district", "the dweb is named for the town of raichur in the raichur district", "the dwab is named for the town of raichur in the raichur district" ]
the doab is named for the town of raichur in the raichur district
the dweb is named for the town of raichur in the raichur district.
the dwab is named for the town of raichur in the raichur district. the web is named for the town of raichur in the raichur district. the dweb is named for the town of raichur in the raichur district. the dwab is named for the town of raichur in the raichur district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dweb is named for the town of raichur in the raichur district', 'the dwab is named for the town of raichur in the raichur district', 'the web is named for the town of raichur in the raichur district', 'the dweb is named for the town of raichur in the raichur district', 'the dwab is named for the town of raichur in the raichur district']
[ "she has a sister and one brother john", "she is a sister and one brother john", "she has his sister and one brother john", "she has a sister and one brother jon", "she is a sister and one brother john" ]
she has a sister and one brother john
she has a sister and one brother john.
she is a sister and one brother john. she has his sister and one brother john. she has a sister and one brother jon. she is a sister and one brother john.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she has a sister and one brother john', 'she is a sister and one brother john', 'she has his sister and one brother john', 'she has a sister and one brother jon', 'she is a sister and one brother john']
[ "they are having eggs and bacon and champagne", "they are having eggs and bacon and champagne", "they are having eggs and bacon and champagne", "they are having eggs and bacon and champagne", "they are having eggs and bacon and champagne" ]
they are having eggs and bacon and champagne
they are having eggs and bacon and champagne.
they are having eggs and bacon and champagne. they are having eggs and bacon and champagne. they are having eggs and bacon and champagne. they are having eggs and bacon and champagne.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are having eggs and bacon and champagne', 'they are having eggs and bacon and champagne', 'they are having eggs and bacon and champagne', 'they are having eggs and bacon and champagne', 'they are having eggs and bacon and champagne']
[ "krilyok is voice is distinctly deep", "kriviok is voice is distinctly deep", "creole york is voice is distinctly deep", "creole yoke is voice is distinctly deep", "krilyoke is voice is distinctly deep" ]
grevioux is voice is distinctively deep
krilyok is voice is distinctly deep.
kriviok is voice is distinctly deep. creole york is voice is distinctly deep. creole yoke is voice is distinctly deep. krilyoke is voice is distinctly deep.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['krilyok is voice is distinctly deep', 'kriviok is voice is distinctly deep', 'creole york is voice is distinctly deep', 'creole yoke is voice is distinctly deep', 'krilyoke is voice is distinctly deep']
[ "she has also written autobiographies and short story collections", "she has also written autobiographies and short story collections", "she has also written autobiographies and short story collections", "she has also written autobiographies and short story collections", "she has also written autobiographies and short story collections" ]
she has also written autobiographies and short story collections
she has also written autobiographies and short story collections.
she has also written autobiographies and short story collections. she has also written autobiographies and short story collections. she has also written autobiographies and short story collections. she has also written autobiographies and short story collections.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she has also written autobiographies and short story collections', 'she has also written autobiographies and short story collections', 'she has also written autobiographies and short story collections', 'she has also written autobiographies and short story collections', 'she has also written autobiographies and short story collections']
[ "there is a monument in his honor by danny carvin", "there is a monument in his honor by dani carven", "there is a monument in his honor by danny carven", "there is a monument in his honor by dani carven", "there is a monument in his honor by danny carvin" ]
there is a monument in his honor by dani karavan
there is a monument in his honor by danny carvin.
there is a monument in his honor by dani carven. there is a monument in his honor by danny carven. there is a monument in his honor by dani carven. there is a monument in his honor by danny carvin.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is a monument in his honor by danny carvin', 'there is a monument in his honor by dani carven', 'there is a monument in his honor by danny carven', 'there is a monument in his honor by dani carven', 'there is a monument in his honor by danny carvin']
[ "there were certain all four diesel engines", "there were certain all four diesel engines", "there were three attend all four diesel engines", "there were so detained all four diesel engines", "they were studied in all four diesel engines" ]
they also retained all four diesel engines
there were certain all four diesel engines.
there were certain all four diesel engines. there were three attend all four diesel engines. there were so detained all four diesel engines. they were studied in all four diesel engines.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were certain all four diesel engines', 'there were certain all four diesel engines', 'there were three attend all four diesel engines', 'there were so detained all four diesel engines', 'they were studied in all four diesel engines']
[ "the current editor is charles kidd", "the current editor is charles kied", "the current editor is charles kyd", "the current editor is charles kid", "okay the current editor is charles kidd" ]
the current editor is charles kidd
the current editor is charles kidd.
the current editor is charles kied. the current editor is charles kyd. the current editor is charles kid. okay the current editor is charles kidd.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current editor is charles kidd', 'the current editor is charles kied', 'the current editor is charles kyd', 'the current editor is charles kid', 'okay the current editor is charles kidd']
[ "cancels field conference guidebooks are available online", "cancer is field conference guidebooks are available online", "cancer is field conference guidebooks are available online", "cancels field conference guidebooks are available online", "cancest field conference guidebooks are available online" ]
kansas field conference guidebooks are available online
cancels field conference guidebooks are available online.
cancer is field conference guidebooks are available online. cancer is field conference guidebooks are available online. cancels field conference guidebooks are available online. cancest field conference guidebooks are available online.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cancels field conference guidebooks are available online', 'cancer is field conference guidebooks are available online', 'cancer is field conference guidebooks are available online', 'cancels field conference guidebooks are available online', 'cancest field conference guidebooks are available online']