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[ "in fear of the giants the dutch did not land", "in fear of the giants the dutch did not land", "in fear of the giants the dutch did not land", "in fear of the giants the dutch did not land", "in fear of the giants the dutch did not land" ]
in fear of the giants the dutch dared not land
in fear of the giants the dutch did not land.
in fear of the giants the dutch did not land. in fear of the giants the dutch did not land. in fear of the giants the dutch did not land. in fear of the giants the dutch did not land.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in fear of the giants the dutch did not land', 'in fear of the giants the dutch did not land', 'in fear of the giants the dutch did not land', 'in fear of the giants the dutch did not land', 'in fear of the giants the dutch did not land']
[ "he continued to have difficulty finding publishers and audiences for his work in america", "he continued to have difficulty finding publishes and audiences for his work in america", "he continued to have difficulty finding publishers and audiences for his work in america", "he continued to have difficulty finding publishes and audiences for his work in america", "he continued to have difficulty finding publishers and audiences for his work in america" ]
he continued to have difficulty finding publishers and audiences for his work in america
he continued to have difficulty finding publishers and audiences for his work in america.
he continued to have difficulty finding publishes and audiences for his work in america. he continued to have difficulty finding publishers and audiences for his work in america. he continued to have difficulty finding publishes and audiences for his work in america. he continued to have difficulty finding publishers and audiences for his work in america.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he continued to have difficulty finding publishers and audiences for his work in america', 'he continued to have difficulty finding publishes and audiences for his work in america', 'he continued to have difficulty finding publishers and audiences for his work in america', 'he continued to have difficulty finding publishes and audiences for his work in america', 'he continued to have difficulty finding publishers and audiences for his work in america']
[ "within three years the bank was considered a credit worthy institution", "within three years the bank was considered a credit to our the institution", "within three years the bank was considered a credit worthy institution", "within three years the bank was considered a credit worthy institution", "within three years the bank was considered a credit worthy institution" ]
within three years the bank was considered a creditworthy institution
within three years the bank was considered a credit worthy institution.
within three years the bank was considered a credit to our the institution. within three years the bank was considered a credit worthy institution. within three years the bank was considered a credit worthy institution. within three years the bank was considered a credit worthy institution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['within three years the bank was considered a credit worthy institution', 'within three years the bank was considered a credit to our the institution', 'within three years the bank was considered a credit worthy institution', 'within three years the bank was considered a credit worthy institution', 'within three years the bank was considered a credit worthy institution']
[ "her body was buried beside that of her husband in port perry", "her body was buried beside that of her husband in port perry", "her body was buried beside that of her husband in port perry", "her body was buried beside that of her husband in port perry", "her body was buried beside that of her husband in port perry" ]
her body was buried beside that of her husband in port perry
her body was buried beside that of her husband in port perry.
her body was buried beside that of her husband in port perry. her body was buried beside that of her husband in port perry. her body was buried beside that of her husband in port perry. her body was buried beside that of her husband in port perry.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her body was buried beside that of her husband in port perry', 'her body was buried beside that of her husband in port perry', 'her body was buried beside that of her husband in port perry', 'her body was buried beside that of her husband in port perry', 'her body was buried beside that of her husband in port perry']
[ "he became popular with the fans and was named deadly dung for his strike rate", "he became popular with the fans and was deemed deadly done for his strike rate", "he became popular with the fans and was named deadly dumb for his strike rate", "he became popular with the fans and was deemed deadly dumb for his strike rate", "he became popular with the fans and was named deadly dunk for his strike rate" ]
he became popular with the fans and was nicknamed deadly dunc for his strike rate
he became popular with the fans and was named deadly dung for his strike rate.
he became popular with the fans and was deemed deadly done for his strike rate. he became popular with the fans and was named deadly dumb for his strike rate. he became popular with the fans and was deemed deadly dumb for his strike rate. he became popular with the fans and was named deadly dunk for his strike rate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he became popular with the fans and was named deadly dung for his strike rate', 'he became popular with the fans and was deemed deadly done for his strike rate', 'he became popular with the fans and was named deadly dumb for his strike rate', 'he became popular with the fans and was deemed deadly dumb for his strike rate', 'he became popular with the fans and was named deadly dunk for his strike rate']
[ "however this sentence is simply many sentences without punctuation", "however this sentence is simply many sentences without punctuation", "however this sentence is simply many sentences without punctuation", "however this sentence is simply many sentences without punctuation", "however this sentence is simply many sentences without punctuation" ]
however this sentence is simply many sentences without punctuation
however this sentence is simply many sentences without punctuation.
however this sentence is simply many sentences without punctuation. however this sentence is simply many sentences without punctuation. however this sentence is simply many sentences without punctuation. however this sentence is simply many sentences without punctuation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however this sentence is simply many sentences without punctuation', 'however this sentence is simply many sentences without punctuation', 'however this sentence is simply many sentences without punctuation', 'however this sentence is simply many sentences without punctuation', 'however this sentence is simply many sentences without punctuation']
[ "the saint lea college teams are known as the monox", "descently a college team so known as the monox", "descently a college team is known as the monox", "decently a college team so known as the monox", "the saint leah college teams are known as the monox" ]
the saint leo college teams were known as the monarchs
the saint lea college teams are known as the monox.
descently a college team so known as the monox. descently a college team is known as the monox. decently a college team so known as the monox. the saint leah college teams are known as the monox.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the saint lea college teams are known as the monox', 'descently a college team so known as the monox', 'descently a college team is known as the monox', 'decently a college team so known as the monox', 'the saint leah college teams are known as the monox']
[ "i am too old", "i am two old", "i am too old", "i am two old", "i am two old" ]
i am too old
i am too old.
i am two old. i am too old. i am two old. i am two old.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am too old', 'i am two old', 'i am too old', 'i am two old', 'i am two old']
[ "a man sitting and playing a guitar in front of a dark red backdrop", "a man sitting in playing a guitar in front of a dark red backdrop", "a man sitting and playing guitar in front of a dark red backdrop", "a man sitting and playing the guitar in front of a dark red backdrop", "a man sitting and playing a guitar in front of a dark red backdrop" ]
a man sitting and playing a guitar in front of a dark red backdrop
a man sitting and playing a guitar in front of a dark red backdrop.
a man sitting in playing a guitar in front of a dark red backdrop. a man sitting and playing guitar in front of a dark red backdrop. a man sitting and playing the guitar in front of a dark red backdrop. a man sitting and playing a guitar in front of a dark red backdrop.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man sitting and playing a guitar in front of a dark red backdrop', 'a man sitting in playing a guitar in front of a dark red backdrop', 'a man sitting and playing guitar in front of a dark red backdrop', 'a man sitting and playing the guitar in front of a dark red backdrop', 'a man sitting and playing a guitar in front of a dark red backdrop']
[ "the family lives in a polar avenue costs from the local high school", "the family lives in apollo avenue costs from the local high school", "the family lives in a polar avenue across from the local high school", "the family lives in a polar avenue cost from the local high school", "the family lives in a polar avenue caused from the local high school" ]
the family lived in apollo avenue across from the local high school
the family lives in a polar avenue costs from the local high school.
the family lives in apollo avenue costs from the local high school. the family lives in a polar avenue across from the local high school. the family lives in a polar avenue cost from the local high school. the family lives in a polar avenue caused from the local high school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the family lives in a polar avenue costs from the local high school', 'the family lives in apollo avenue costs from the local high school', 'the family lives in a polar avenue across from the local high school', 'the family lives in a polar avenue cost from the local high school', 'the family lives in a polar avenue caused from the local high school']
[ "these streams converged north east of ailsbury the county town of buckinghamshire", "these streams converged north east of ellsbury the county town of buckinghamshire", "these streams converge north east of ailsbury the county town of buckinghamshire", "these streams converge north east of ellsbury the county town of buckinghamshire", "these streams converge north east of ailsbury the county town of buckinghamshire" ]
these streams converge north east of aylesbury the county town of buckinghamshire
these streams converged north east of ailsbury the county town of buckinghamshire.
these streams converged north east of ellsbury the county town of buckinghamshire. these streams converge north east of ailsbury the county town of buckinghamshire. these streams converge north east of ellsbury the county town of buckinghamshire. these streams converge north east of ailsbury the county town of buckinghamshire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these streams converged north east of ailsbury the county town of buckinghamshire', 'these streams converged north east of ellsbury the county town of buckinghamshire', 'these streams converge north east of ailsbury the county town of buckinghamshire', 'these streams converge north east of ellsbury the county town of buckinghamshire', 'these streams converge north east of ailsbury the county town of buckinghamshire']
[ "prudent butary was born into a wealthy french canadian family", "prudence butary was born into a wealthy french canadian family", "prudence butary was born into a wealthy french canadian family", "prudence butury was born into a wealthy french canadian family", "prudent beauty was born into a wealthy french canadian family" ]
prudent beaudry was born into a wealthy french canadian family
prudent butary was born into a wealthy french canadian family.
prudence butary was born into a wealthy french canadian family. prudence butary was born into a wealthy french canadian family. prudence butury was born into a wealthy french canadian family. prudent beauty was born into a wealthy french canadian family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['prudent butary was born into a wealthy french canadian family', 'prudence butary was born into a wealthy french canadian family', 'prudence butary was born into a wealthy french canadian family', 'prudence butury was born into a wealthy french canadian family', 'prudent beauty was born into a wealthy french canadian family']
[ "if fortman tired you what will houses do", "if fort man tired you what will houses do", "if fortmen tired you what will host us do", "if fortmen tired you what will hoses do", "if fortman tired you what will host us do" ]
if footmen tire you what will horses do
if fortman tired you what will houses do.
if fort man tired you what will houses do. if fortmen tired you what will host us do. if fortmen tired you what will hoses do. if fortman tired you what will host us do.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if fortman tired you what will houses do', 'if fort man tired you what will houses do', 'if fortmen tired you what will host us do', 'if fortmen tired you what will hoses do', 'if fortman tired you what will host us do']
[ "a southern cross ten local news updates were pre recorded", "a southern cross ten local news updates are pre recorded", "a southern cross ten local news updates were pre recorded", "a southern cross ten local news updates are pre recorded", "a sudden cross ten local news updates were pre recorded" ]
as southern cross ten local news the updates are pre recorded
a southern cross ten local news updates were pre recorded.
a southern cross ten local news updates are pre recorded. a southern cross ten local news updates were pre recorded. a southern cross ten local news updates are pre recorded. a sudden cross ten local news updates were pre recorded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a southern cross ten local news updates were pre recorded', 'a southern cross ten local news updates are pre recorded', 'a southern cross ten local news updates were pre recorded', 'a southern cross ten local news updates are pre recorded', 'a sudden cross ten local news updates were pre recorded']
[ "my million jaw structures are also set apart by the dentary squalmosele jaw joint", "my million jaw structures are also set apart by the dentary squalmosle jaw joint", "my million jaw structures are also set apart by the dentary squamous jaw joint", "my million jaw structures are also set apart by the dentary squalmousal jaw joint", "my million jaw structures are also set apart by the dentary squamousal jaw joint" ]
mammalian jaw structures are also set apart by the dentary squamosal jaw joint
my million jaw structures are also set apart by the dentary squalmosele jaw joint.
my million jaw structures are also set apart by the dentary squalmosle jaw joint. my million jaw structures are also set apart by the dentary squamous jaw joint. my million jaw structures are also set apart by the dentary squalmousal jaw joint. my million jaw structures are also set apart by the dentary squamousal jaw joint.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my million jaw structures are also set apart by the dentary squalmosele jaw joint', 'my million jaw structures are also set apart by the dentary squalmosle jaw joint', 'my million jaw structures are also set apart by the dentary squamous jaw joint', 'my million jaw structures are also set apart by the dentary squalmousal jaw joint', 'my million jaw structures are also set apart by the dentary squamousal jaw joint']
[ "they carried the orange and red daylight paint scheme", "they carried the orange and red daylight paint scheme", "they carried the orange and red daylight paint scheme", "they carried the orange and red daylight paint scheme", "they carried the orange and red daylight paint scheme" ]
they carried the orange and red daylight paint scheme
they carried the orange and red daylight paint scheme.
they carried the orange and red daylight paint scheme. they carried the orange and red daylight paint scheme. they carried the orange and red daylight paint scheme. they carried the orange and red daylight paint scheme.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they carried the orange and red daylight paint scheme', 'they carried the orange and red daylight paint scheme', 'they carried the orange and red daylight paint scheme', 'they carried the orange and red daylight paint scheme', 'they carried the orange and red daylight paint scheme']
[ "only rick satorum in pennsylvania had a worse performance", "only rick satoram in pennsylvania had a worse performance", "only rick cetorum in pennsylvania had a worse performance", "only rick satoram in pennsylvania had a worse performance", "only rick satorum in pennsylvania had a worse performance" ]
only rick santorum in pennsylvania had a worse performance
only rick satorum in pennsylvania had a worse performance.
only rick satoram in pennsylvania had a worse performance. only rick cetorum in pennsylvania had a worse performance. only rick satoram in pennsylvania had a worse performance. only rick satorum in pennsylvania had a worse performance.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['only rick satorum in pennsylvania had a worse performance', 'only rick satoram in pennsylvania had a worse performance', 'only rick cetorum in pennsylvania had a worse performance', 'only rick satoram in pennsylvania had a worse performance', 'only rick satorum in pennsylvania had a worse performance']
[ "other sources suggest that the accident was suicide", "other sources suggest that the excellent was suicide", "other sources suggest that the accident was suicide", "other sources suggest that the accident was suicide", "other sources suggest that the excellent was suicide" ]
other sources suggest that the accident was suicide
other sources suggest that the accident was suicide.
other sources suggest that the excellent was suicide. other sources suggest that the accident was suicide. other sources suggest that the accident was suicide. other sources suggest that the excellent was suicide.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other sources suggest that the accident was suicide', 'other sources suggest that the excellent was suicide', 'other sources suggest that the accident was suicide', 'other sources suggest that the accident was suicide', 'other sources suggest that the excellent was suicide']
[ "he was in the view of albert sprazer", "he was in the field of albert sprazer", "he was in the field of albert scrazer", "he was in the view of albert scrazer", "he was the nephew of albert sprazer" ]
he was the nephew of albert schweitzer
he was in the view of albert sprazer.
he was in the field of albert sprazer. he was in the field of albert scrazer. he was in the view of albert scrazer. he was the nephew of albert sprazer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was in the view of albert sprazer', 'he was in the field of albert sprazer', 'he was in the field of albert scrazer', 'he was in the view of albert scrazer', 'he was the nephew of albert sprazer']
[ "she manages film company", "she manages film company", "she manages his film company", "she manages her own company", "she manages a film company" ]
she managed his film company
she manages film company.
she manages film company. she manages his film company. she manages her own company. she manages a film company.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she manages film company', 'she manages film company', 'she manages his film company', 'she manages her own company', 'she manages a film company']
[ "so real argues that it is not in violation of it", "sreal argues that it is not in violation of it", "so real argues that it is not in violation of it", "so real argues that it is not in violation of it", "serial argues that it is not in violation of it" ]
israel argues that it is not in violation of it
so real argues that it is not in violation of it.
sreal argues that it is not in violation of it. so real argues that it is not in violation of it. so real argues that it is not in violation of it. serial argues that it is not in violation of it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so real argues that it is not in violation of it', 'sreal argues that it is not in violation of it', 'so real argues that it is not in violation of it', 'so real argues that it is not in violation of it', 'serial argues that it is not in violation of it']
[ "however maya escaped safely before the towers collapsed", "however maya escaped safely before the tower is collapsed", "however mayer escaped safely before the towers collapsed", "however maya escaped safely before the towers collapsed", "however maya escaped safely before the towers collapsed" ]
however mayer escaped safely before the towers collapsed
however maya escaped safely before the towers collapsed.
however maya escaped safely before the tower is collapsed. however mayer escaped safely before the towers collapsed. however maya escaped safely before the towers collapsed. however maya escaped safely before the towers collapsed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however maya escaped safely before the towers collapsed', 'however maya escaped safely before the tower is collapsed', 'however mayer escaped safely before the towers collapsed', 'however maya escaped safely before the towers collapsed', 'however maya escaped safely before the towers collapsed']
[ "there are several methods to serve us", "there are several methods of service", "there is several methods to serve us", "there is several methods of service", "there are several methods to serve us" ]
there are several methods of service
there are several methods to serve us.
there are several methods of service. there is several methods to serve us. there is several methods of service. there are several methods to serve us.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are several methods to serve us', 'there are several methods of service', 'there is several methods to serve us', 'there is several methods of service', 'there are several methods to serve us']
[ "he married louise de lorraine known prior to marriage as mademoiselle de massanne", "he married louise de lorraine known prior to marriage as madmousel de maassan", "he married louise de lorraine known prior to marriage as mademoiselle de maassan", "he married louise de lorraine known prior to marriage as madmousel de maasan", "he married louise de lorraine known prior to marriage as mademoiselle de maussanne" ]
he married louise de lorraine known prior to marriage as mademoiselle de marsan
he married louise de lorraine known prior to marriage as mademoiselle de massanne.
he married louise de lorraine known prior to marriage as madmousel de maassan. he married louise de lorraine known prior to marriage as mademoiselle de maassan. he married louise de lorraine known prior to marriage as madmousel de maasan. he married louise de lorraine known prior to marriage as mademoiselle de maussanne.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he married louise de lorraine known prior to marriage as mademoiselle de massanne', 'he married louise de lorraine known prior to marriage as madmousel de maassan', 'he married louise de lorraine known prior to marriage as mademoiselle de maassan', 'he married louise de lorraine known prior to marriage as madmousel de maasan', 'he married louise de lorraine known prior to marriage as mademoiselle de maussanne']
[ "the studio is transmitter and towels were still located at the school of engineering", "the studio is transmitter and tiles were still located at the school of engineering", "transmitted and tiles were still located at the school of engineering", "transmitted and talls were still located at the school of engineering", "transmitted and talls were still located at the school of engineering" ]
the studios transmitter and towers were still located at the school of engineering
the studio is transmitter and towels were still located at the school of engineering.
the studio is transmitter and tiles were still located at the school of engineering. transmitted and tiles were still located at the school of engineering. transmitted and talls were still located at the school of engineering. transmitted and talls were still located at the school of engineering.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the studio is transmitter and towels were still located at the school of engineering', 'the studio is transmitter and tiles were still located at the school of engineering', 'transmitted and tiles were still located at the school of engineering', 'transmitted and talls were still located at the school of engineering', 'transmitted and talls were still located at the school of engineering']
[ "according to his daughter he first found it her adjusting from stitch to screen", "according to his daughter he first found it hard adjusting from stitch to screen", "according to his daughter he first found it are adjusting from stitch to screen", "according to his tutor he first found it hard adjusting from stitch to screen", "according to his daughter he first found it her adjusting from stage to screen" ]
according to his daughter he first found it hard adjusting from stage to screen
according to his daughter he first found it her adjusting from stitch to screen.
according to his daughter he first found it hard adjusting from stitch to screen. according to his daughter he first found it are adjusting from stitch to screen. according to his tutor he first found it hard adjusting from stitch to screen. according to his daughter he first found it her adjusting from stage to screen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['according to his daughter he first found it her adjusting from stitch to screen', 'according to his daughter he first found it hard adjusting from stitch to screen', 'according to his daughter he first found it are adjusting from stitch to screen', 'according to his tutor he first found it hard adjusting from stitch to screen', 'according to his daughter he first found it her adjusting from stage to screen']
[ "after blessing is over the wine and chala a festive meal is served", "after blessing is over the vine and chala a festive meal is served", "after blessings over the wine and chala a festive meal is served", "after blessings over the vine and chala a festive meal is served", "after blessing over the wine and chala a festive meal is served" ]
after blessings over the wine and challah a festive meal is served
after blessing is over the wine and chala a festive meal is served.
after blessing is over the vine and chala a festive meal is served. after blessings over the wine and chala a festive meal is served. after blessings over the vine and chala a festive meal is served. after blessing over the wine and chala a festive meal is served.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after blessing is over the wine and chala a festive meal is served', 'after blessing is over the vine and chala a festive meal is served', 'after blessings over the wine and chala a festive meal is served', 'after blessings over the vine and chala a festive meal is served', 'after blessing over the wine and chala a festive meal is served']
[ "i saw it from being an architect he was an innovative painter", "i saw it from being an architect he was an innovative paintball", "i saw it from being an architect it was an innovative paint job", "i saw it from being an architect it was an innovative paintball", "a sign from being an architect he was an innovative painter" ]
aside from being an architect he was an innovative painter
i saw it from being an architect he was an innovative painter.
i saw it from being an architect he was an innovative paintball. i saw it from being an architect it was an innovative paint job. i saw it from being an architect it was an innovative paintball. a sign from being an architect he was an innovative painter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i saw it from being an architect he was an innovative painter', 'i saw it from being an architect he was an innovative paintball', 'i saw it from being an architect it was an innovative paint job', 'i saw it from being an architect it was an innovative paintball', 'a sign from being an architect he was an innovative painter']
[ "it operated domestic and inter island scheduled flights and charter services", "it operated domestic and inter island scheduled flights and charter services", "it operated domestic and inter island is scheduled flights and charter services", "it operated domestic and inter island scheduled flights and charter services", "it operated domestic and inter island scheduled flights and charter services" ]
it operated domestic and inter island scheduled flights and charter services
it operated domestic and inter island scheduled flights and charter services.
it operated domestic and inter island scheduled flights and charter services. it operated domestic and inter island is scheduled flights and charter services. it operated domestic and inter island scheduled flights and charter services. it operated domestic and inter island scheduled flights and charter services.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it operated domestic and inter island scheduled flights and charter services', 'it operated domestic and inter island scheduled flights and charter services', 'it operated domestic and inter island is scheduled flights and charter services', 'it operated domestic and inter island scheduled flights and charter services', 'it operated domestic and inter island scheduled flights and charter services']
[ "he was strongly influenced by romantic parts of prague", "he was strongly influenced by romantic parts of prague", "he was strongly influenced by the romantic parts of prague", "he was strongly influenced by the romantic parts of prague", "he was strongly influenced by romantic parts of prague" ]
he was strongly influenced by romantic parts of prague
he was strongly influenced by romantic parts of prague.
he was strongly influenced by romantic parts of prague. he was strongly influenced by the romantic parts of prague. he was strongly influenced by the romantic parts of prague. he was strongly influenced by romantic parts of prague.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was strongly influenced by romantic parts of prague', 'he was strongly influenced by romantic parts of prague', 'he was strongly influenced by the romantic parts of prague', 'he was strongly influenced by the romantic parts of prague', 'he was strongly influenced by romantic parts of prague']
[ "consch was developed by paul swartz", "contrast was developed by paul swartz", "conscience was developed by paul swartz", "contra was developed by paul swartz", "contr was developed by paul swartz" ]
conch was developed by paul swartz
consch was developed by paul swartz.
contrast was developed by paul swartz. conscience was developed by paul swartz. contra was developed by paul swartz. contr was developed by paul swartz.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['consch was developed by paul swartz', 'contrast was developed by paul swartz', 'conscience was developed by paul swartz', 'contra was developed by paul swartz', 'contr was developed by paul swartz']
[ "the luck was born in breeslau and educated at the gymnasium and university day", "the luck was born in breslau and educated at the gymnasium and university day", "the luck was born in breeslauer and educated at the gymnasium and university day", "the luck was born in brislava and educated at the gymnasium and university day", "the luck was born in breeslaw and educated at the gymnasium and university day" ]
tholuck was born at breslau and educated at the gymnasium and university there
the luck was born in breeslau and educated at the gymnasium and university day.
the luck was born in breslau and educated at the gymnasium and university day. the luck was born in breeslauer and educated at the gymnasium and university day. the luck was born in brislava and educated at the gymnasium and university day. the luck was born in breeslaw and educated at the gymnasium and university day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the luck was born in breeslau and educated at the gymnasium and university day', 'the luck was born in breslau and educated at the gymnasium and university day', 'the luck was born in breeslauer and educated at the gymnasium and university day', 'the luck was born in brislava and educated at the gymnasium and university day', 'the luck was born in breeslaw and educated at the gymnasium and university day']
[ "the result is that the ball curves or swings into the batsman", "the result is that the ball curves or swings into the batsman", "the result is at the ball curves or swings into the batsman", "the result is at the ball curves or swings into the batsman", "the result is that the ball curves or swings into the batsmen" ]
the result is that the ball curves or swings in to the batsman
the result is that the ball curves or swings into the batsman.
the result is that the ball curves or swings into the batsman. the result is at the ball curves or swings into the batsman. the result is at the ball curves or swings into the batsman. the result is that the ball curves or swings into the batsmen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the result is that the ball curves or swings into the batsman', 'the result is that the ball curves or swings into the batsman', 'the result is at the ball curves or swings into the batsman', 'the result is at the ball curves or swings into the batsman', 'the result is that the ball curves or swings into the batsmen']
[ "the schools were found to have increased significantly", "the schools were found to have increased significantly", "the schools were found to have increased significantly", "schools were found to have increased significantly", "their schools were found to have increased significantly" ]
their scores were found to have increased significantly
the schools were found to have increased significantly.
the schools were found to have increased significantly. the schools were found to have increased significantly. schools were found to have increased significantly. their schools were found to have increased significantly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the schools were found to have increased significantly', 'the schools were found to have increased significantly', 'the schools were found to have increased significantly', 'schools were found to have increased significantly', 'their schools were found to have increased significantly']
[ "awards are presented to students who have won medals in various national games", "awards are presented to students who have won medals and various national games", "our words are presented to students who have won medals in various national games", "i am also presented to students who have won medals in various national games", "awards are presented to students who have won medals in various national games" ]
awards are presented to students who have won medals in various national games
awards are presented to students who have won medals in various national games.
awards are presented to students who have won medals and various national games. our words are presented to students who have won medals in various national games. i am also presented to students who have won medals in various national games. awards are presented to students who have won medals in various national games.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['awards are presented to students who have won medals in various national games', 'awards are presented to students who have won medals and various national games', 'our words are presented to students who have won medals in various national games', 'i am also presented to students who have won medals in various national games', 'awards are presented to students who have won medals in various national games']
[ "saint bartholomew is episcopal church is an attractive feature of leetown", "saint bartholomew is episcopal church is an attractive feature of lee town", "saint bartholomew is episcopal church is an attractive feature of leetown", "saint bartholomew is episcopal church is an attractive feature of lee town", "saint bartholomew is episcopal church is an attractive feature of lee town" ]
saint bartholomew is episcopal church is an attractive feature of leetown
saint bartholomew is episcopal church is an attractive feature of leetown.
saint bartholomew is episcopal church is an attractive feature of lee town. saint bartholomew is episcopal church is an attractive feature of leetown. saint bartholomew is episcopal church is an attractive feature of lee town. saint bartholomew is episcopal church is an attractive feature of lee town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['saint bartholomew is episcopal church is an attractive feature of leetown', 'saint bartholomew is episcopal church is an attractive feature of lee town', 'saint bartholomew is episcopal church is an attractive feature of leetown', 'saint bartholomew is episcopal church is an attractive feature of lee town', 'saint bartholomew is episcopal church is an attractive feature of lee town']
[ "landy is partner is fellow british artist gillian wearing", "landy is partner is fellow british artist jillian wearing", "landis partner is fellow british artist gillian wearing", "landy is partner is fellow british artist jillian wearing", "landy is partner is fellow british artist gillian wearing" ]
landy is partner is fellow british artist gillian wearing
landy is partner is fellow british artist gillian wearing.
landy is partner is fellow british artist jillian wearing. landis partner is fellow british artist gillian wearing. landy is partner is fellow british artist jillian wearing. landy is partner is fellow british artist gillian wearing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['landy is partner is fellow british artist gillian wearing', 'landy is partner is fellow british artist jillian wearing', 'landis partner is fellow british artist gillian wearing', 'landy is partner is fellow british artist jillian wearing', 'landy is partner is fellow british artist gillian wearing']
[ "milan the defending champions were eliminated by fan ort in the second round", "milan the defending champions were eliminated by fan ord in the second round", "milan the defending champions were eliminated by fanort in the second round", "milan the defending champions were eliminated by fennort in the second round", "milan the defending champions were eliminated by fen ord in the second round" ]
milan the defending champions were eliminated by feyenoord in the second round
milan the defending champions were eliminated by fan ort in the second round.
milan the defending champions were eliminated by fan ord in the second round. milan the defending champions were eliminated by fanort in the second round. milan the defending champions were eliminated by fennort in the second round. milan the defending champions were eliminated by fen ord in the second round.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['milan the defending champions were eliminated by fan ort in the second round', 'milan the defending champions were eliminated by fan ord in the second round', 'milan the defending champions were eliminated by fanort in the second round', 'milan the defending champions were eliminated by fennort in the second round', 'milan the defending champions were eliminated by fen ord in the second round']
[ "as i do not have gold the daughter of bellemanns and bellemann ex partner abel gold is also at newport", "as i do not have gold the daughter of better men is and better men is ex partner abel gold is also at newport", "as i do not have gold the daughter of bellamanns and bellamann ex partner abel gold is also at newport", "as i do not have gold the daughter of bellamons and bellamons ex partner abel gold is also at newport", "as i do not have gold the daughter of bellamonds and bellamonds ex partner abel gold is also at newport" ]
rosanna gaw the daughter of betterman is embittered ex partner abel gaw is also at newport
as i do not have gold the daughter of bellemanns and bellemann ex partner abel gold is also at newport.
as i do not have gold the daughter of better men is and better men is ex partner abel gold is also at newport. as i do not have gold the daughter of bellamanns and bellamann ex partner abel gold is also at newport. as i do not have gold the daughter of bellamons and bellamons ex partner abel gold is also at newport. as i do not have gold the daughter of bellamonds and bellamonds ex partner abel gold is also at newport.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as i do not have gold the daughter of bellemanns and bellemann ex partner abel gold is also at newport', 'as i do not have gold the daughter of better men is and better men is ex partner abel gold is also at newport', 'as i do not have gold the daughter of bellamanns and bellamann ex partner abel gold is also at newport', 'as i do not have gold the daughter of bellamons and bellamons ex partner abel gold is also at newport', 'as i do not have gold the daughter of bellamonds and bellamonds ex partner abel gold is also at newport']
[ "guilds of the sisters susan is a middle school teacher married to a scientist native", "girls of the sisters susan is a middle school teacher married to a scientist native", "girls of the sisters susan is a middle school teacher married to a scientist native", "guilds of the sisters using is a middle school teacher married to a scientist native", "guilds of the sisters susan is a middle school teacher married to a scientist made them" ]
gil is other sister susan is a middle school teacher married to a scientist nathan
guilds of the sisters susan is a middle school teacher married to a scientist native.
girls of the sisters susan is a middle school teacher married to a scientist native. girls of the sisters susan is a middle school teacher married to a scientist native. guilds of the sisters using is a middle school teacher married to a scientist native. guilds of the sisters susan is a middle school teacher married to a scientist made them.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['guilds of the sisters susan is a middle school teacher married to a scientist native', 'girls of the sisters susan is a middle school teacher married to a scientist native', 'girls of the sisters susan is a middle school teacher married to a scientist native', 'guilds of the sisters using is a middle school teacher married to a scientist native', 'guilds of the sisters susan is a middle school teacher married to a scientist made them']
[ "so lee is resolution of independence was approved by twelve of the thirteen colonies", "so lee is resolution of independence was approved by twelve of the thirteen colonies", "so lee is resolution of independence was approved by twelve of the thirteen colonies", "so lee is resolution of independence was approved by twelve of the thirteen colonies", "so lee is resolution of independence was approved by twelve of the thirteen colonies" ]
so lee is resolution of independence was approved by twelve of the thirteen colonies
so lee is resolution of independence was approved by twelve of the thirteen colonies.
so lee is resolution of independence was approved by twelve of the thirteen colonies. so lee is resolution of independence was approved by twelve of the thirteen colonies. so lee is resolution of independence was approved by twelve of the thirteen colonies. so lee is resolution of independence was approved by twelve of the thirteen colonies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so lee is resolution of independence was approved by twelve of the thirteen colonies', 'so lee is resolution of independence was approved by twelve of the thirteen colonies', 'so lee is resolution of independence was approved by twelve of the thirteen colonies', 'so lee is resolution of independence was approved by twelve of the thirteen colonies', 'so lee is resolution of independence was approved by twelve of the thirteen colonies']
[ "they play in the holland football league", "they play in the holland football league", "they play in the holland football league", "they play in the harland football league", "they play in the highland football league" ]
they play in the highland football league
they play in the holland football league.
they play in the holland football league. they play in the holland football league. they play in the harland football league. they play in the highland football league.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they play in the holland football league', 'they play in the holland football league', 'they play in the holland football league', 'they play in the harland football league', 'they play in the highland football league']
[ "when he had gone he picked up his rod", "when he had gone he picked up his rod", "when he had gone he picked up his rod", "when he had gone he picked up his rod", "when he had gone he picked up his rod" ]
when he had gone he picked up his rod
when he had gone he picked up his rod.
when he had gone he picked up his rod. when he had gone he picked up his rod. when he had gone he picked up his rod. when he had gone he picked up his rod.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when he had gone he picked up his rod', 'when he had gone he picked up his rod', 'when he had gone he picked up his rod', 'when he had gone he picked up his rod', 'when he had gone he picked up his rod']
[ "cox call between opposing obligations chose to hold the international premier at the festival", "cox call between opposing obligations chose to hold the international premier at the festival", "cox call between opposing obligations chose to hold the international premiere at the festival", "cox call between opposing obligations chose to hold the international premiere at the festival", "cox call between opposing obligations chose to hold the international premier at the festival" ]
cox caught between opposing obligations chose to hold the international premiere at the festival
cox call between opposing obligations chose to hold the international premier at the festival.
cox call between opposing obligations chose to hold the international premier at the festival. cox call between opposing obligations chose to hold the international premiere at the festival. cox call between opposing obligations chose to hold the international premiere at the festival. cox call between opposing obligations chose to hold the international premier at the festival.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cox call between opposing obligations chose to hold the international premier at the festival', 'cox call between opposing obligations chose to hold the international premier at the festival', 'cox call between opposing obligations chose to hold the international premiere at the festival', 'cox call between opposing obligations chose to hold the international premiere at the festival', 'cox call between opposing obligations chose to hold the international premier at the festival']
[ "it was core material for looting and suspended", "he was core material for looting and suspended", "here was core material for looting and suspended", "it was core material for looping and suspended", "it was core material for losing and suspended" ]
he was court martialled for looting and suspended
it was core material for looting and suspended.
he was core material for looting and suspended. here was core material for looting and suspended. it was core material for looping and suspended. it was core material for losing and suspended.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was core material for looting and suspended', 'he was core material for looting and suspended', 'here was core material for looting and suspended', 'it was core material for looping and suspended', 'it was core material for losing and suspended']
[ "this prospect was obviously not liked by other sarcastic chefs", "this prospect was obviously not liked by other soccer chefs", "this prospect was obviously not liked by other sakash chefs", "this prospect was obviously not liked by other saca is chefs", "this prospect was obviously not liked by other saka is chefs" ]
this prospect was obviously not liked by other saka chiefs
this prospect was obviously not liked by other sarcastic chefs.
this prospect was obviously not liked by other soccer chefs. this prospect was obviously not liked by other sakash chefs. this prospect was obviously not liked by other saca is chefs. this prospect was obviously not liked by other saka is chefs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this prospect was obviously not liked by other sarcastic chefs', 'this prospect was obviously not liked by other soccer chefs', 'this prospect was obviously not liked by other sakash chefs', 'this prospect was obviously not liked by other saca is chefs', 'this prospect was obviously not liked by other saka is chefs']
[ "it is not known to have ever styled himself count of on thew", "it is not known to have ever styled himself count of on you", "it is not known to have ever styled himself count of on thew", "it is not known to have ever styled himself count of on thieu", "he is not known to have ever styled himself count of on thew" ]
he is not known to have ever styled himself count of ponthieu
it is not known to have ever styled himself count of on thew.
it is not known to have ever styled himself count of on you. it is not known to have ever styled himself count of on thew. it is not known to have ever styled himself count of on thieu. he is not known to have ever styled himself count of on thew.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is not known to have ever styled himself count of on thew', 'it is not known to have ever styled himself count of on you', 'it is not known to have ever styled himself count of on thew', 'it is not known to have ever styled himself count of on thieu', 'he is not known to have ever styled himself count of on thew']
[ "the primary owner is all for sighted as the reason behind the decision", "the primary owner is all foresighted as the reason behind the decision", "the primary owner is all for cited as the reason behind the decision", "the primary owner is all for sighted as the reason behind decision", "the primary owner is all foresighted as the reason behind decision" ]
the primary owners health was cited as the reason behind the decision
the primary owner is all for sighted as the reason behind the decision.
the primary owner is all foresighted as the reason behind the decision. the primary owner is all for cited as the reason behind the decision. the primary owner is all for sighted as the reason behind decision. the primary owner is all foresighted as the reason behind decision.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the primary owner is all for sighted as the reason behind the decision', 'the primary owner is all foresighted as the reason behind the decision', 'the primary owner is all for cited as the reason behind the decision', 'the primary owner is all for sighted as the reason behind decision', 'the primary owner is all foresighted as the reason behind decision']
[ "it was often used for sharp shooter john mclaughlin", "it was often used for sharp shooter john mclaughlin", "it was often used for sharp shooter john mclaughlin", "it was often used for sharp shooter john mclaughlin", "it was often used for sharp shooter john mclaughlin" ]
it was often used for sharpshooter jon mcglocklin
it was often used for sharp shooter john mclaughlin.
it was often used for sharp shooter john mclaughlin. it was often used for sharp shooter john mclaughlin. it was often used for sharp shooter john mclaughlin. it was often used for sharp shooter john mclaughlin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was often used for sharp shooter john mclaughlin', 'it was often used for sharp shooter john mclaughlin', 'it was often used for sharp shooter john mclaughlin', 'it was often used for sharp shooter john mclaughlin', 'it was often used for sharp shooter john mclaughlin']
[ "it is typically used to identify a portion of that document", "it is typically used to identify a portion of their document", "it is typically used to identify a portion of the document", "it is typically used to identify a portion of that document", "it is typically used to identify a portion of that document" ]
it is typically used to identify a portion of that document
it is typically used to identify a portion of that document.
it is typically used to identify a portion of their document. it is typically used to identify a portion of the document. it is typically used to identify a portion of that document. it is typically used to identify a portion of that document.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is typically used to identify a portion of that document', 'it is typically used to identify a portion of their document', 'it is typically used to identify a portion of the document', 'it is typically used to identify a portion of that document', 'it is typically used to identify a portion of that document']
[ "the uppermost figure in the arch is a small nude figure", "the optimized figure in the arch is a small nude figure", "the optimalest figure in the arch is a small nude figure", "the optimized figure in the arch is a small nude figure", "the optimalest figure in the arch is a small nude figure" ]
the uppermost figure in the arch is a small nude figure
the uppermost figure in the arch is a small nude figure.
the optimized figure in the arch is a small nude figure. the optimalest figure in the arch is a small nude figure. the optimized figure in the arch is a small nude figure. the optimalest figure in the arch is a small nude figure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the uppermost figure in the arch is a small nude figure', 'the optimized figure in the arch is a small nude figure', 'the optimalest figure in the arch is a small nude figure', 'the optimized figure in the arch is a small nude figure', 'the optimalest figure in the arch is a small nude figure']
[ "there were late bronze age settlements south and west of the modern city", "there were late bronze age settlements south and west of the modern city", "there were lead bronze age settlements south and west of the modern city", "there were lead bronze age settlements south and west of the modern city", "there were lead bronze settlements south and west of the modern city" ]
there were late bronze age settlements south and west of the modern city
there were late bronze age settlements south and west of the modern city.
there were late bronze age settlements south and west of the modern city. there were lead bronze age settlements south and west of the modern city. there were lead bronze age settlements south and west of the modern city. there were lead bronze settlements south and west of the modern city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there were late bronze age settlements south and west of the modern city', 'there were late bronze age settlements south and west of the modern city', 'there were lead bronze age settlements south and west of the modern city', 'there were lead bronze age settlements south and west of the modern city', 'there were lead bronze settlements south and west of the modern city']
[ "however the news starts to leak out precipitating a crisis in the family", "however the news starts to leak out precipitating across us in the family", "however the news starts to leak out precipitating a process in the family", "however the news starts to leak out precipitating a crisis in the family", "however the news starts to leak out precipitating a crisis in the family" ]
however the news starts to leak out precipitating a crisis in the family
however the news starts to leak out precipitating a crisis in the family.
however the news starts to leak out precipitating across us in the family. however the news starts to leak out precipitating a process in the family. however the news starts to leak out precipitating a crisis in the family. however the news starts to leak out precipitating a crisis in the family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the news starts to leak out precipitating a crisis in the family', 'however the news starts to leak out precipitating across us in the family', 'however the news starts to leak out precipitating a process in the family', 'however the news starts to leak out precipitating a crisis in the family', 'however the news starts to leak out precipitating a crisis in the family']
[ "he was waiting for me easily uncomfortably until darkness should come", "he was waiting on easily uncomfortably until darkness should come", "he was waiting on easily uncomfortably until darkness should come", "he was waiting on easy uncomfortably until darkness should come", "he was waiting very easily uncomfortably until darkness should come" ]
he was waiting uneasily uncomfortably until darkness should come
he was waiting for me easily uncomfortably until darkness should come.
he was waiting on easily uncomfortably until darkness should come. he was waiting on easily uncomfortably until darkness should come. he was waiting on easy uncomfortably until darkness should come. he was waiting very easily uncomfortably until darkness should come.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was waiting for me easily uncomfortably until darkness should come', 'he was waiting on easily uncomfortably until darkness should come', 'he was waiting on easily uncomfortably until darkness should come', 'he was waiting on easy uncomfortably until darkness should come', 'he was waiting very easily uncomfortably until darkness should come']
[ "so the quarrel goes onto the satisfaction of both", "so the quarrel goes on to the satisfaction of both", "so the quarrel goes onto the satisfaction of both", "so the quarrel goes on to the satisfaction of both", "so the quarrel goes onto the satisfaction of both" ]
so the quarrel goes on to the satisfaction of both
so the quarrel goes onto the satisfaction of both.
so the quarrel goes on to the satisfaction of both. so the quarrel goes onto the satisfaction of both. so the quarrel goes on to the satisfaction of both. so the quarrel goes onto the satisfaction of both.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so the quarrel goes onto the satisfaction of both', 'so the quarrel goes on to the satisfaction of both', 'so the quarrel goes onto the satisfaction of both', 'so the quarrel goes on to the satisfaction of both', 'so the quarrel goes onto the satisfaction of both']
[ "ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel", "ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel", "ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel", "ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel", "ren has worked repeatedly with notable fashion photographers ruben a fanador and stephen meisel" ]
renn has worked repeatedly with notable fashion photographers ruven afanador and steven meisel
ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel.
ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel. ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel. ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel. ren has worked repeatedly with notable fashion photographers ruben a fanador and stephen meisel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel', 'ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel', 'ren has worked repeatedly with notable fashion photographers ruben afanador and stephen meisel', 'ren has worked repeatedly with notable fashion photographers reuben afanador and stephen meisel', 'ren has worked repeatedly with notable fashion photographers ruben a fanador and stephen meisel']
[ "as this is ideal that is considered very good scalability", "as this is ideal that is considered very good scalability", "as this is ideal that is considered a very good scalability", "as this is ideal that is considered a very good scalability", "as this is ideal that is considered very good scalability" ]
as this is ideal it is considered very good scalability
as this is ideal that is considered very good scalability.
as this is ideal that is considered very good scalability. as this is ideal that is considered a very good scalability. as this is ideal that is considered a very good scalability. as this is ideal that is considered very good scalability.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as this is ideal that is considered very good scalability', 'as this is ideal that is considered very good scalability', 'as this is ideal that is considered a very good scalability', 'as this is ideal that is considered a very good scalability', 'as this is ideal that is considered very good scalability']
[ "lift tables lend themselves to being easily adapted to a specific use", "lift tables lend themselves to being easily adapted to a specific use", "lyft tables lend themselves to being easily adapted to a specific use", "lyft tables lend themselves to being easily adapted to a specific use", "lyft tables lend themselves to being easily adapted to a specific use" ]
lift tables lend themselves to being easily adapted to a specific use
lift tables lend themselves to being easily adapted to a specific use.
lift tables lend themselves to being easily adapted to a specific use. lyft tables lend themselves to being easily adapted to a specific use. lyft tables lend themselves to being easily adapted to a specific use. lyft tables lend themselves to being easily adapted to a specific use.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lift tables lend themselves to being easily adapted to a specific use', 'lift tables lend themselves to being easily adapted to a specific use', 'lyft tables lend themselves to being easily adapted to a specific use', 'lyft tables lend themselves to being easily adapted to a specific use', 'lyft tables lend themselves to being easily adapted to a specific use']
[ "joseph and robert ray lusser", "joseph and robert rae lusser", "joseph and robert ray lusser", "joseph and robert rae lusser", "joseph and robert rae lusser" ]
joseph and robert ray lusse
joseph and robert ray lusser.
joseph and robert rae lusser. joseph and robert ray lusser. joseph and robert rae lusser. joseph and robert rae lusser.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['joseph and robert ray lusser', 'joseph and robert rae lusser', 'joseph and robert ray lusser', 'joseph and robert rae lusser', 'joseph and robert rae lusser']
[ "the x was added because the starting date was christmas eve or xmas eve", "the x was added because the starting date was christmas eve or xmas eve", "the x was added because the starting date was christmas eve or xmas eve", "the x was added because the starting date was christmas eve or xmas eve", "the x was added because the starting date was christmas eve or xmas eve" ]
the x was added because the starting date was christmas eve or x mas eve
the x was added because the starting date was christmas eve or xmas eve.
the x was added because the starting date was christmas eve or xmas eve. the x was added because the starting date was christmas eve or xmas eve. the x was added because the starting date was christmas eve or xmas eve. the x was added because the starting date was christmas eve or xmas eve.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the x was added because the starting date was christmas eve or xmas eve', 'the x was added because the starting date was christmas eve or xmas eve', 'the x was added because the starting date was christmas eve or xmas eve', 'the x was added because the starting date was christmas eve or xmas eve', 'the x was added because the starting date was christmas eve or xmas eve']
[ "mister tubman looked on in mute astonishment", "mister topman looked on in mute astonishment", "mister tubman looked on in mute astonishment", "mister tapman looked on in mute astonishment", "mister tappman looked on in mute astonishment" ]
mister tupman looked on in mute astonishment
mister tubman looked on in mute astonishment.
mister topman looked on in mute astonishment. mister tubman looked on in mute astonishment. mister tapman looked on in mute astonishment. mister tappman looked on in mute astonishment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mister tubman looked on in mute astonishment', 'mister topman looked on in mute astonishment', 'mister tubman looked on in mute astonishment', 'mister tapman looked on in mute astonishment', 'mister tappman looked on in mute astonishment']
[ "new england promptly cut john after he played one game", "new england promptly cut john after he played one game", "new england promptly cut john after he played one game", "new england promptly cut john after he played one game", "new england promptly cut john after he played one game" ]
new england promptly cut john after he played one game
new england promptly cut john after he played one game.
new england promptly cut john after he played one game. new england promptly cut john after he played one game. new england promptly cut john after he played one game. new england promptly cut john after he played one game.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['new england promptly cut john after he played one game', 'new england promptly cut john after he played one game', 'new england promptly cut john after he played one game', 'new england promptly cut john after he played one game', 'new england promptly cut john after he played one game']
[ "he married a woman named margaret morle but had no children", "he married a woman named margaret morley but had no children", "he married a woman named margaret morle but had no children", "he married a woman named margaret morley but had no children", "he married a woman named margaret morley but had no children" ]
he married a woman named margaret morlay but had no children
he married a woman named margaret morle but had no children.
he married a woman named margaret morley but had no children. he married a woman named margaret morle but had no children. he married a woman named margaret morley but had no children. he married a woman named margaret morley but had no children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he married a woman named margaret morle but had no children', 'he married a woman named margaret morley but had no children', 'he married a woman named margaret morle but had no children', 'he married a woman named margaret morley but had no children', 'he married a woman named margaret morley but had no children']
[ "the wakewater is suspended in mid air over water", "a wakewater is suspended in mid air over water", "the wakewater is suspended in mid air over water", "a wakewater is suspended in mid air over water", "the wake water is suspended in mid air over water" ]
a wakeboarder is suspended in midair over water
the wakewater is suspended in mid air over water.
a wakewater is suspended in mid air over water. the wakewater is suspended in mid air over water. a wakewater is suspended in mid air over water. the wake water is suspended in mid air over water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the wakewater is suspended in mid air over water', 'a wakewater is suspended in mid air over water', 'the wakewater is suspended in mid air over water', 'a wakewater is suspended in mid air over water', 'the wake water is suspended in mid air over water']
[ "they looked at the issue of capital asset valuation from different perspectives", "they looked at the issue of capital as evaluation from different perspectives", "they looked at the issue of capital asset valuation from different perspectives", "they looked at the issue of capital asset valuation from different perspectives", "they looked at the issue of capital asset valuation from different perspectives" ]
they looked at the issue of capital asset valuation from different perspectives
they looked at the issue of capital asset valuation from different perspectives.
they looked at the issue of capital as evaluation from different perspectives. they looked at the issue of capital asset valuation from different perspectives. they looked at the issue of capital asset valuation from different perspectives. they looked at the issue of capital asset valuation from different perspectives.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they looked at the issue of capital asset valuation from different perspectives', 'they looked at the issue of capital as evaluation from different perspectives', 'they looked at the issue of capital asset valuation from different perspectives', 'they looked at the issue of capital asset valuation from different perspectives', 'they looked at the issue of capital asset valuation from different perspectives']
[ "if was to be mentioned in every month of the year except for july", "and first to be mentioned in every month of the year except for july", "and first to be mentioned in every month of the year except for july", "if was to be mentioned in every month of the year except for july", "if us to be mentioned in every month of the year except for july" ]
air frost has been measured in every month of the year except for july
if was to be mentioned in every month of the year except for july.
and first to be mentioned in every month of the year except for july. and first to be mentioned in every month of the year except for july. if was to be mentioned in every month of the year except for july. if us to be mentioned in every month of the year except for july.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if was to be mentioned in every month of the year except for july', 'and first to be mentioned in every month of the year except for july', 'and first to be mentioned in every month of the year except for july', 'if was to be mentioned in every month of the year except for july', 'if us to be mentioned in every month of the year except for july']
[ "it may convey somewhat different meanings in different parts of bangladesh india and pakistan", "it may convey somewhat different meanings in different parts of bangladesh india and pakistan", "it may convey some more different meanings in different parts of bangladesh india and pakistan", "it may convey somewhat different meanings in different parts of bangladesh india and pakistan", "it may convey somewhat different meanings in different parts of bangladesh india and pakistan" ]
it may convey somewhat different meanings in different parts of bangladesh india and pakistan
it may convey somewhat different meanings in different parts of bangladesh india and pakistan.
it may convey somewhat different meanings in different parts of bangladesh india and pakistan. it may convey some more different meanings in different parts of bangladesh india and pakistan. it may convey somewhat different meanings in different parts of bangladesh india and pakistan. it may convey somewhat different meanings in different parts of bangladesh india and pakistan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it may convey somewhat different meanings in different parts of bangladesh india and pakistan', 'it may convey somewhat different meanings in different parts of bangladesh india and pakistan', 'it may convey some more different meanings in different parts of bangladesh india and pakistan', 'it may convey somewhat different meanings in different parts of bangladesh india and pakistan', 'it may convey somewhat different meanings in different parts of bangladesh india and pakistan']
[ "the answer given by the minister is on the record answered", "dancer given by the minister is on the record answered", "dancer given by the minister is on the record answered", "dancer given by the ministar is on the record answered", "dancer given by the minister is on the record handset" ]
the answer given by the minister is on record at hansard
the answer given by the minister is on the record answered.
dancer given by the minister is on the record answered. dancer given by the minister is on the record answered. dancer given by the ministar is on the record answered. dancer given by the minister is on the record handset.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the answer given by the minister is on the record answered', 'dancer given by the minister is on the record answered', 'dancer given by the minister is on the record answered', 'dancer given by the ministar is on the record answered', 'dancer given by the minister is on the record handset']
[ "it was fairly modest in size for a titanosaur", "it was fairly modest in size for a titanosaur", "it was fairly modest in size for a titanisaw", "it was fairly modest in size for a titanosaur", "it was fairly modest in size for a titanosaur" ]
it was fairly modest in size for a titanosaur
it was fairly modest in size for a titanosaur.
it was fairly modest in size for a titanosaur. it was fairly modest in size for a titanisaw. it was fairly modest in size for a titanosaur. it was fairly modest in size for a titanosaur.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was fairly modest in size for a titanosaur', 'it was fairly modest in size for a titanosaur', 'it was fairly modest in size for a titanisaw', 'it was fairly modest in size for a titanosaur', 'it was fairly modest in size for a titanosaur']
[ "editors that are running through a command line interpreter however may or may not be", "editors that are running through a command line interpreter however may or may not be", "editors that are running through a command line interpreter however may or may not be", "editors that are running through a command line interpreter however may or may not be", "editors that are running through a command line interpreter however may or may not be" ]
editors that are running through a command line interpreter however may or may not be
editors that are running through a command line interpreter however may or may not be.
editors that are running through a command line interpreter however may or may not be. editors that are running through a command line interpreter however may or may not be. editors that are running through a command line interpreter however may or may not be. editors that are running through a command line interpreter however may or may not be.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['editors that are running through a command line interpreter however may or may not be', 'editors that are running through a command line interpreter however may or may not be', 'editors that are running through a command line interpreter however may or may not be', 'editors that are running through a command line interpreter however may or may not be', 'editors that are running through a command line interpreter however may or may not be']
[ "today lansingville is population is ethnically diverse although many slovak americans still live there", "today lansingville is population is ethnically diverse although many slovak americans still live there", "today lansingville is population is ethnically diverse although many slovak americans still live there", "today lansingville is population is ethnically diverse although many slovak americans still live there", "today lansingville is population is ethnically diverse although many slovak americans still live there" ]
today lansingville is population is ethnically diverse although many slovak americans still live there
today lansingville is population is ethnically diverse although many slovak americans still live there.
today lansingville is population is ethnically diverse although many slovak americans still live there. today lansingville is population is ethnically diverse although many slovak americans still live there. today lansingville is population is ethnically diverse although many slovak americans still live there. today lansingville is population is ethnically diverse although many slovak americans still live there.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today lansingville is population is ethnically diverse although many slovak americans still live there', 'today lansingville is population is ethnically diverse although many slovak americans still live there', 'today lansingville is population is ethnically diverse although many slovak americans still live there', 'today lansingville is population is ethnically diverse although many slovak americans still live there', 'today lansingville is population is ethnically diverse although many slovak americans still live there']
[ "hockey goal tender diving", "hockey goal ten to diving", "haki gold tender diving", "hockey goal ten to diving", "haki gold tender diving" ]
hockey goaltender diving
hockey goal tender diving.
hockey goal ten to diving. haki gold tender diving. hockey goal ten to diving. haki gold tender diving.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hockey goal tender diving', 'hockey goal ten to diving', 'haki gold tender diving', 'hockey goal ten to diving', 'haki gold tender diving']
[ "the name wakesh or wakesh is new turn now for good", "the name wakesh or wakesh is new turn now for good", "the name wakesh old wakesh is new turn now for good", "the name wakesh or wakesh is new channel for good", "the name wakesh or woukesh is new turn now for good" ]
the name wakesh or waukash is nuu chah nulth for good
the name wakesh or wakesh is new turn now for good.
the name wakesh or wakesh is new turn now for good. the name wakesh old wakesh is new turn now for good. the name wakesh or wakesh is new channel for good. the name wakesh or woukesh is new turn now for good.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name wakesh or wakesh is new turn now for good', 'the name wakesh or wakesh is new turn now for good', 'the name wakesh old wakesh is new turn now for good', 'the name wakesh or wakesh is new channel for good', 'the name wakesh or woukesh is new turn now for good']
[ "they had three sons but their first twin boys died shortly after birth", "they had three sons but their first twin boys died shortly after birth", "they had three sons but their first twin boys died shortly after birth", "they had three sons but their first twin boys died shortly after birth", "they had three sons but their first twin boys died shortly after birth" ]
they had three sons but their first twin boys died shortly after birth
they had three sons but their first twin boys died shortly after birth.
they had three sons but their first twin boys died shortly after birth. they had three sons but their first twin boys died shortly after birth. they had three sons but their first twin boys died shortly after birth. they had three sons but their first twin boys died shortly after birth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they had three sons but their first twin boys died shortly after birth', 'they had three sons but their first twin boys died shortly after birth', 'they had three sons but their first twin boys died shortly after birth', 'they had three sons but their first twin boys died shortly after birth', 'they had three sons but their first twin boys died shortly after birth']
[ "study with mekula lisenko in kiev", "i studied with mekula lisenko in kiev", "we studied with mekula lisenko in kiev", "he studied with mekula lisenko in kiev", "let us study with mekula lisenko in kiev" ]
he studied with mykola lysenko in kiev
study with mekula lisenko in kiev.
i studied with mekula lisenko in kiev. we studied with mekula lisenko in kiev. he studied with mekula lisenko in kiev. let us study with mekula lisenko in kiev.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['study with mekula lisenko in kiev', 'i studied with mekula lisenko in kiev', 'we studied with mekula lisenko in kiev', 'he studied with mekula lisenko in kiev', 'let us study with mekula lisenko in kiev']
[ "the toxicology of a gun has not been fully investigated", "the toxicology of a gun has not been fully investigated", "the toxic ecology of a gun has not been fully investigated", "the toxicology of a gun has not been fully investigated", "the toxic collage of a gun has not been fully investigated" ]
the toxicology of algan has not been fully investigated
the toxicology of a gun has not been fully investigated.
the toxicology of a gun has not been fully investigated. the toxic ecology of a gun has not been fully investigated. the toxicology of a gun has not been fully investigated. the toxic collage of a gun has not been fully investigated.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the toxicology of a gun has not been fully investigated', 'the toxicology of a gun has not been fully investigated', 'the toxic ecology of a gun has not been fully investigated', 'the toxicology of a gun has not been fully investigated', 'the toxic collage of a gun has not been fully investigated']
[ "other tables are applied only to specific areas of the schedules", "other tables are applied only to specific areas of the schedules", "other tables are applied only to specific areas of the schedule", "other tables are applied only to specific areas of the schedules", "other tables are applied only to specific areas of the schedules" ]
other tables are applied only to specific areas of the schedules
other tables are applied only to specific areas of the schedules.
other tables are applied only to specific areas of the schedules. other tables are applied only to specific areas of the schedule. other tables are applied only to specific areas of the schedules. other tables are applied only to specific areas of the schedules.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other tables are applied only to specific areas of the schedules', 'other tables are applied only to specific areas of the schedules', 'other tables are applied only to specific areas of the schedule', 'other tables are applied only to specific areas of the schedules', 'other tables are applied only to specific areas of the schedules']
[ "a closing cinematic depicts the aftermath of the war", "a closing cinematic depicts the aftermath of the war", "a closing cinematic detects the aftermath of the war", "occlosing cinematic depicts the aftermath of the war", "a closing cinematic defeats the aftermath of the war" ]
a closing cinematic depicts the aftermath of the war
a closing cinematic depicts the aftermath of the war.
a closing cinematic depicts the aftermath of the war. a closing cinematic detects the aftermath of the war. occlosing cinematic depicts the aftermath of the war. a closing cinematic defeats the aftermath of the war.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a closing cinematic depicts the aftermath of the war', 'a closing cinematic depicts the aftermath of the war', 'a closing cinematic detects the aftermath of the war', 'occlosing cinematic depicts the aftermath of the war', 'a closing cinematic defeats the aftermath of the war']
[ "quature has a brother michael quature who is also a musician", "quatcher has a brother michael quatcher who is also a musician", "quacher has a brother michael quacher who is also a musician", "quature has a brother michael quature who is also musician", "quattro has a brother michael quattro who is also musician" ]
quatro has a brother michael quatro who is also a musician
quature has a brother michael quature who is also a musician.
quatcher has a brother michael quatcher who is also a musician. quacher has a brother michael quacher who is also a musician. quature has a brother michael quature who is also musician. quattro has a brother michael quattro who is also musician.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['quature has a brother michael quature who is also a musician', 'quatcher has a brother michael quatcher who is also a musician', 'quacher has a brother michael quacher who is also a musician', 'quature has a brother michael quature who is also musician', 'quattro has a brother michael quattro who is also musician']
[ "the shield is blue and the horseshoe silver", "the shield is blue and the horseshoe is silver", "the shield is blue and the horseshoe is silver", "the shield is blue and the horseshoe is silver", "the shield is blue and the horseshoe silver" ]
the shield is blue and the horseshoe silver
the shield is blue and the horseshoe silver.
the shield is blue and the horseshoe is silver. the shield is blue and the horseshoe is silver. the shield is blue and the horseshoe is silver. the shield is blue and the horseshoe silver.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the shield is blue and the horseshoe silver', 'the shield is blue and the horseshoe is silver', 'the shield is blue and the horseshoe is silver', 'the shield is blue and the horseshoe is silver', 'the shield is blue and the horseshoe silver']
[ "places absorption of heat is negligible compared to plastic at higher temperatures", "places absorption of heat is negligible compared to plastic at higher temperatures", "plus is absorption of heat is negligible compared to plastic at higher temperatures", "places absorption of heat is negligible compared to plastic at higher temperatures", "plus absorption of heat is negligible compared to plastic at higher temperatures" ]
glass is absorption of heat is negligible compared to plastic at higher temperatures
places absorption of heat is negligible compared to plastic at higher temperatures.
places absorption of heat is negligible compared to plastic at higher temperatures. plus is absorption of heat is negligible compared to plastic at higher temperatures. places absorption of heat is negligible compared to plastic at higher temperatures. plus absorption of heat is negligible compared to plastic at higher temperatures.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['places absorption of heat is negligible compared to plastic at higher temperatures', 'places absorption of heat is negligible compared to plastic at higher temperatures', 'plus is absorption of heat is negligible compared to plastic at higher temperatures', 'places absorption of heat is negligible compared to plastic at higher temperatures', 'plus absorption of heat is negligible compared to plastic at higher temperatures']
[ "this made the site a target for strategic lawsuits against public participation from companies", "this made a site a target for strategic lawsuits against public participation from companies", "this made the site a target for strategic law suits against public participation from companies", "this made the site a target for strategic law suits against public participation from companies", "this made the site a target for strategic law suits against public participation from companies" ]
this made the site a target for strategic lawsuits against public participation from companies
this made the site a target for strategic lawsuits against public participation from companies.
this made a site a target for strategic lawsuits against public participation from companies. this made the site a target for strategic law suits against public participation from companies. this made the site a target for strategic law suits against public participation from companies. this made the site a target for strategic law suits against public participation from companies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this made the site a target for strategic lawsuits against public participation from companies', 'this made a site a target for strategic lawsuits against public participation from companies', 'this made the site a target for strategic law suits against public participation from companies', 'this made the site a target for strategic law suits against public participation from companies', 'this made the site a target for strategic law suits against public participation from companies']
[ "the sound was scripts dry and sparkling like a vintage champagne", "a sound was scripts dry and sparkling like a vintage champagne", "sound was scripts dry and sparkling like a vintage champagne", "sound was scripts dry and sparkling like a vintage champagne", "the sound was script dry and sparkling like a vintage champagne" ]
his sound was crisp dry and sparkling like a vintage champagne
the sound was scripts dry and sparkling like a vintage champagne.
a sound was scripts dry and sparkling like a vintage champagne. sound was scripts dry and sparkling like a vintage champagne. sound was scripts dry and sparkling like a vintage champagne. the sound was script dry and sparkling like a vintage champagne.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the sound was scripts dry and sparkling like a vintage champagne', 'a sound was scripts dry and sparkling like a vintage champagne', 'sound was scripts dry and sparkling like a vintage champagne', 'sound was scripts dry and sparkling like a vintage champagne', 'the sound was script dry and sparkling like a vintage champagne']
[ "it is used in updates", "it is used in optics", "it is used in optics", "it is used in octaves", "it is used in updates" ]
it is used in optics
it is used in updates.
it is used in optics. it is used in optics. it is used in octaves. it is used in updates.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is used in updates', 'it is used in optics', 'it is used in optics', 'it is used in octaves', 'it is used in updates']
[ "mission hills is at the north and end of the long sepulveda boulevard", "mission hills is at the north and end of the long sepulveda boulevard", "is at the north and end of the long sepulveda boulevard", "mission hills is at the north and end of the long sepulveda boulevard", "mission hills is at the north and end of the long sep vida boulevard" ]
mission hills is at the northern end of the long sepulveda boulevard
mission hills is at the north and end of the long sepulveda boulevard.
mission hills is at the north and end of the long sepulveda boulevard. is at the north and end of the long sepulveda boulevard. mission hills is at the north and end of the long sepulveda boulevard. mission hills is at the north and end of the long sep vida boulevard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mission hills is at the north and end of the long sepulveda boulevard', 'mission hills is at the north and end of the long sepulveda boulevard', 'is at the north and end of the long sepulveda boulevard', 'mission hills is at the north and end of the long sepulveda boulevard', 'mission hills is at the north and end of the long sep vida boulevard']
[ "city administrator is a non elected position whereas the others are elected", "city administrator is a non elected position whereas the others are elected", "city administrator is a non elected position whereas the others are elected", "the city administrator is a non elected position whereas the others are elected", "city administrator is a non elected position whereas the others are elected" ]
city administrator is a non elected position whereas the others are elected
city administrator is a non elected position whereas the others are elected.
city administrator is a non elected position whereas the others are elected. city administrator is a non elected position whereas the others are elected. the city administrator is a non elected position whereas the others are elected. city administrator is a non elected position whereas the others are elected.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['city administrator is a non elected position whereas the others are elected', 'city administrator is a non elected position whereas the others are elected', 'city administrator is a non elected position whereas the others are elected', 'the city administrator is a non elected position whereas the others are elected', 'city administrator is a non elected position whereas the others are elected']
[ "the area is more commonly known as custer hill", "the area is more commonly known as coaster hill", "the area is more commonly known as caster hill", "the area is more commonly known as castor hill", "the area is more commonly known as caster hill" ]
the area is more commonly known as custer hill
the area is more commonly known as custer hill.
the area is more commonly known as coaster hill. the area is more commonly known as caster hill. the area is more commonly known as castor hill. the area is more commonly known as caster hill.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the area is more commonly known as custer hill', 'the area is more commonly known as coaster hill', 'the area is more commonly known as caster hill', 'the area is more commonly known as castor hill', 'the area is more commonly known as caster hill']
[ "he attended rockport school near hollywood and campbell college in east belfast", "he attended rockport school near hollywood and campbell college in east belfast", "he attended rockport school near hollywood and campbell college in east belfast", "he attended rockport school near hollywood and campbell college in east belfast", "he attended rockport school near hollywood and campbell college in eastbelfast" ]
he attended rockport school near holywood and campbell college in east belfast
he attended rockport school near hollywood and campbell college in east belfast.
he attended rockport school near hollywood and campbell college in east belfast. he attended rockport school near hollywood and campbell college in east belfast. he attended rockport school near hollywood and campbell college in east belfast. he attended rockport school near hollywood and campbell college in eastbelfast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he attended rockport school near hollywood and campbell college in east belfast', 'he attended rockport school near hollywood and campbell college in east belfast', 'he attended rockport school near hollywood and campbell college in east belfast', 'he attended rockport school near hollywood and campbell college in east belfast', 'he attended rockport school near hollywood and campbell college in eastbelfast']
[ "she was a second woman to hold the office after kath tizzard", "she was the second woman to hold the office after kath tizzard", "she was a second woman to hold the office after cath tizzard", "she was the second woman to hold the office after cath tizzard", "she was a second woman to hold the office after catherine tizzard" ]
she was the second woman to hold the office after cath tizard
she was a second woman to hold the office after kath tizzard.
she was the second woman to hold the office after kath tizzard. she was a second woman to hold the office after cath tizzard. she was the second woman to hold the office after cath tizzard. she was a second woman to hold the office after catherine tizzard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was a second woman to hold the office after kath tizzard', 'she was the second woman to hold the office after kath tizzard', 'she was a second woman to hold the office after cath tizzard', 'she was the second woman to hold the office after cath tizzard', 'she was a second woman to hold the office after catherine tizzard']
[ "initially miles were also thought to lead heroms of females and their young", "initially males were also thought to lead heroms of females and their young", "initially males were also thought to lead heroms of females and they are young", "initially males were also thought to lead heroms of females and they are young", "initially miles were also thought to lead heroms of females and they are young" ]
initially males were also thought to lead harems of females and their young
initially miles were also thought to lead heroms of females and their young.
initially males were also thought to lead heroms of females and their young. initially males were also thought to lead heroms of females and they are young. initially males were also thought to lead heroms of females and they are young. initially miles were also thought to lead heroms of females and they are young.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['initially miles were also thought to lead heroms of females and their young', 'initially males were also thought to lead heroms of females and their young', 'initially males were also thought to lead heroms of females and they are young', 'initially males were also thought to lead heroms of females and they are young', 'initially miles were also thought to lead heroms of females and they are young']
[ "the program is so popular that it is often reserved months in a month", "the program is so popular that it is often reserved months in nagon", "the program is so popular that it is often reserved months in nagoya", "the program is so popular that it is often reserved months in advance", "the program is so popular that it is often reserved months in nagorno" ]
the program is so popular that it is often reserved months in advance
the program is so popular that it is often reserved months in a month.
the program is so popular that it is often reserved months in nagon. the program is so popular that it is often reserved months in nagoya. the program is so popular that it is often reserved months in advance. the program is so popular that it is often reserved months in nagorno.
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 program is so popular that it is often reserved months in a month', 'the program is so popular that it is often reserved months in nagon', 'the program is so popular that it is often reserved months in nagoya', 'the program is so popular that it is often reserved months in advance', 'the program is so popular that it is often reserved months in nagorno']
[ "chua lao also appeared in filmrals", "chua lao also appeared in film rolls", "chua rao also appeared in filmrals", "chua lao also appeared in filmrolls", "chua now also appeared in filmrals" ]
chuvalo also appeared in film roles
chua lao also appeared in filmrals.
chua lao also appeared in film rolls. chua rao also appeared in filmrals. chua lao also appeared in filmrolls. chua now also appeared in filmrals.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chua lao also appeared in filmrals', 'chua lao also appeared in film rolls', 'chua rao also appeared in filmrals', 'chua lao also appeared in filmrolls', 'chua now also appeared in filmrals']
[ "it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats", "it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats", "it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats", "it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats", "it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats" ]
it features a pressurized cockpit a g tolerance enhancement system and dual zero zero ejection seats
it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats.
it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats. it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats. it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats. it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats.
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. ['it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats', 'it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats', 'it features a pressurized cockpit a d tolerance enhancement system and dual zero zero injection seats', 'it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats', 'it features a pressurized cockpit a detolerance enhancement system and dual zero zero injection seats']
[ "a response to the findings was posted by tim hayes", "a response to the findings was posted by tim hayes", "a response to the findings was posted by tim hayes", "a response to the findings was posted by tim hayes", "a response to the findings was posted by tim hayes" ]
a response to the findings was posted by tim hayes
a response to the findings was posted by tim hayes.
a response to the findings was posted by tim hayes. a response to the findings was posted by tim hayes. a response to the findings was posted by tim hayes. a response to the findings was posted by tim hayes.
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. ['a response to the findings was posted by tim hayes', 'a response to the findings was posted by tim hayes', 'a response to the findings was posted by tim hayes', 'a response to the findings was posted by tim hayes', 'a response to the findings was posted by tim hayes']
[ "he then married galina kopunek about the most eight years later", "he been married galina coponek about the most eight years later", "he then married galina coponek about the most eight years later", "he has been married galina coponek about eight years later", "he did married galeena kopunek about eight years later" ]
he then married galina kopernak but divorced eight years later
he then married galina kopunek about the most eight years later.
he been married galina coponek about the most eight years later. he then married galina coponek about the most eight years later. he has been married galina coponek about eight years later. he did married galeena kopunek about eight years later.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then married galina kopunek about the most eight years later', 'he been married galina coponek about the most eight years later', 'he then married galina coponek about the most eight years later', 'he has been married galina coponek about eight years later', 'he did married galeena kopunek about eight years later']
[ "crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated", "crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated", "crossing northwest in mexico the remnants of diana ended arizona and quickly dissipated", "crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated", "crossing northwest in mexico the remnants of dayana entered arizona and quickly dissipated" ]
crossing northwestern mexico the remnants of diana entered arizona and quickly dissipated
crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated.
crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated. crossing northwest in mexico the remnants of diana ended arizona and quickly dissipated. crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated. crossing northwest in mexico the remnants of dayana entered arizona and quickly dissipated.
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. ['crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated', 'crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated', 'crossing northwest in mexico the remnants of diana ended arizona and quickly dissipated', 'crossing northwest in mexico the remnants of diana entered arizona and quickly dissipated', 'crossing northwest in mexico the remnants of dayana entered arizona and quickly dissipated']
[ "the division included the suburbs of gandhi kogi kensington and renwick", "the division included the suburbs of gandhi kogi kensington and enrique", "the division included the suburbs of gandhi kogi kensington and renweek", "the division included the suburbs of bondi kogi kensington and renwick", "the division included the suburbs of gandhi kogi kensington and then week" ]
the division included the suburbs of bondi coogee kensington and randwick
the division included the suburbs of gandhi kogi kensington and renwick.
the division included the suburbs of gandhi kogi kensington and enrique. the division included the suburbs of gandhi kogi kensington and renweek. the division included the suburbs of bondi kogi kensington and renwick. the division included the suburbs of gandhi kogi kensington and then week.
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 division included the suburbs of gandhi kogi kensington and renwick', 'the division included the suburbs of gandhi kogi kensington and enrique', 'the division included the suburbs of gandhi kogi kensington and renweek', 'the division included the suburbs of bondi kogi kensington and renwick', 'the division included the suburbs of gandhi kogi kensington and then week']
[ "they are the parents of twins", "they are the parents of twins", "they are the parents of twins", "they are the parents of twins", "they are the parents of twins" ]
they are the parents of twins
they are the parents of twins.
they are the parents of twins. they are the parents of twins. they are the parents of twins. they are the parents of twins.
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. ['they are the parents of twins', 'they are the parents of twins', 'they are the parents of twins', 'they are the parents of twins', 'they are the parents of twins']
[ "describe what is expected to use cues around them for their physiological change", "the script was expected to use cues around them for their physiological change", "describe what is expected to use cues around them for their physiological change", "the scrip was expected to use cues around them for their physiological change", "the skype was expected to use cues around them for their physiological change" ]
this group was expected to use cues around them for their physiological change
describe what is expected to use cues around them for their physiological change.
the script was expected to use cues around them for their physiological change. describe what is expected to use cues around them for their physiological change. the scrip was expected to use cues around them for their physiological change. the skype was expected to use cues around them for their physiological change.
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. ['describe what is expected to use cues around them for their physiological change', 'the script was expected to use cues around them for their physiological change', 'describe what is expected to use cues around them for their physiological change', 'the scrip was expected to use cues around them for their physiological change', 'the skype was expected to use cues around them for their physiological change']
[ "the human lymphatic system has no central pump", "the human lymphatic system has no central pump", "the human lymphatic system has no central pump", "the human lymphatic system has no central pump", "the human lymphatic system has no central pump" ]
the human lymphatic system has no central pump
the human lymphatic system has no central pump.
the human lymphatic system has no central pump. the human lymphatic system has no central pump. the human lymphatic system has no central pump. the human lymphatic system has no central pump.
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 human lymphatic system has no central pump', 'the human lymphatic system has no central pump', 'the human lymphatic system has no central pump', 'the human lymphatic system has no central pump', 'the human lymphatic system has no central pump']