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[ "i am sure of it that is quite substantive", "i am sure of it that is quite substantive", "i am sure that is quite substantive", "i am sure of it that is quite substantive", "i am sure of it that is quite substantive" ]
i am sure of it that is quite sufficient
i am sure of it that is quite substantive.
i am sure of it that is quite substantive. i am sure that is quite substantive. i am sure of it that is quite substantive. i am sure of it that is quite substantive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am sure of it that is quite substantive', 'i am sure of it that is quite substantive', 'i am sure that is quite substantive', 'i am sure of it that is quite substantive', 'i am sure of it that is quite substantive']
[ "the dog bimbo had previously appeared in the goodies", "the dog bimbo had previously appeared in the goodies", "the dog bimbo had previously appeared in the goodies", "the dog bimbo had previously appeared in the goodies", "the dog bimbo had previously appeared in the goodies" ]
the dog bimbo had previously appeared in the goodies
the dog bimbo had previously appeared in the goodies.
the dog bimbo had previously appeared in the goodies. the dog bimbo had previously appeared in the goodies. the dog bimbo had previously appeared in the goodies. the dog bimbo had previously appeared in the goodies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dog bimbo had previously appeared in the goodies', 'the dog bimbo had previously appeared in the goodies', 'the dog bimbo had previously appeared in the goodies', 'the dog bimbo had previously appeared in the goodies', 'the dog bimbo had previously appeared in the goodies']
[ "the majority of the range is off wimits to motorized and boy school travel", "the majority of the range is off wimits to motorized and boy school criminal", "the majority of the range is off limits to motorized and boy school travel", "the majority of the range is off wimits to motorized and boy school crippled", "the majority of the range is off wimits to motorized and by school travel" ]
the majority of the range is off limits to motorized and bicycle travel
the majority of the range is off wimits to motorized and boy school travel.
the majority of the range is off wimits to motorized and boy school criminal. the majority of the range is off limits to motorized and boy school travel. the majority of the range is off wimits to motorized and boy school crippled. the majority of the range is off wimits to motorized and by school travel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the majority of the range is off wimits to motorized and boy school travel', 'the majority of the range is off wimits to motorized and boy school criminal', 'the majority of the range is off limits to motorized and boy school travel', 'the majority of the range is off wimits to motorized and boy school crippled', 'the majority of the range is off wimits to motorized and by school travel']
[ "a gray hair man working on a poster with foreign symbols", "a great hair man working on a poster with foreign symbols", "a gray hair man working on a poster with foreign symbols", "a gray hair man working on a poster with foreign symbols", "a gray hair man working on a poster with foreign symbols" ]
a gray hair man working on a poster with foreign symbols
a gray hair man working on a poster with foreign symbols.
a great hair man working on a poster with foreign symbols. a gray hair man working on a poster with foreign symbols. a gray hair man working on a poster with foreign symbols. a gray hair man working on a poster with foreign symbols.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a gray hair man working on a poster with foreign symbols', 'a great hair man working on a poster with foreign symbols', 'a gray hair man working on a poster with foreign symbols', 'a gray hair man working on a poster with foreign symbols', 'a gray hair man working on a poster with foreign symbols']
[ "mike wallace was one of the national judges for several years", "mike wallace was one of the national judges for several years", "my qualis was one of the national judges for several years", "mike wallace was one of the national judges for several years", "my qualis was one of the national judges for several years" ]
mike wallace was one of the national judges for several years
mike wallace was one of the national judges for several years.
mike wallace was one of the national judges for several years. my qualis was one of the national judges for several years. mike wallace was one of the national judges for several years. my qualis was one of the national judges for several years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mike wallace was one of the national judges for several years', 'mike wallace was one of the national judges for several years', 'my qualis was one of the national judges for several years', 'mike wallace was one of the national judges for several years', 'my qualis was one of the national judges for several years']
[ "in this case the norm is also called the maximum norm", "in this case the norm is also called the maximum norm", "in this case the norm is also called the maximum norm", "in this case the norm is also called the maximum norm", "in this case the norm is also called the maximum norm" ]
in this case the norm is also called the maximum norm
in this case the norm is also called the maximum norm.
in this case the norm is also called the maximum norm. in this case the norm is also called the maximum norm. in this case the norm is also called the maximum norm. in this case the norm is also called the maximum norm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in this case the norm is also called the maximum norm', 'in this case the norm is also called the maximum norm', 'in this case the norm is also called the maximum norm', 'in this case the norm is also called the maximum norm', 'in this case the norm is also called the maximum norm']
[ "i thought you said something", "i thought you said something", "i thought you said something", "i thought you said something", "i thought you said something" ]
i thought you said something
i thought you said something.
i thought you said something. i thought you said something. i thought you said something. i thought you said something.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i thought you said something', 'i thought you said something', 'i thought you said something', 'i thought you said something', 'i thought you said something']
[ "many of the city buildings have post modern design and are mainly glass and brick", "many of the city buildings have post modern design and are mainly glass and brick", "many of the city buildings have postmodern design and are mainly glass and brick", "many of the city buildings have post modern designs and are mainly glass and brick", "many of the city buildings have post modern design and are mainly glass and brick" ]
many of the city buildings have post modern design and are mainly glass and brick
many of the city buildings have post modern design and are mainly glass and brick.
many of the city buildings have post modern design and are mainly glass and brick. many of the city buildings have postmodern design and are mainly glass and brick. many of the city buildings have post modern designs and are mainly glass and brick. many of the city buildings have post modern design and are mainly glass and brick.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many of the city buildings have post modern design and are mainly glass and brick', 'many of the city buildings have post modern design and are mainly glass and brick', 'many of the city buildings have postmodern design and are mainly glass and brick', 'many of the city buildings have post modern designs and are mainly glass and brick', 'many of the city buildings have post modern design and are mainly glass and brick']
[ "after his re election shirak wished to give a son a political renewal", "after his re election shirak wished to give a sign of political renewal", "after his re election sharok wished to give a sign of political renewal", "after his re election sharok wished to give a son a political renewal", "after his reelection shirak wished to give a son a political renewal" ]
after his re election chirac wished to give a sign of political renewal
after his re election shirak wished to give a son a political renewal.
after his re election shirak wished to give a sign of political renewal. after his re election sharok wished to give a sign of political renewal. after his re election sharok wished to give a son a political renewal. after his reelection shirak wished to give a son a political renewal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after his re election shirak wished to give a son a political renewal', 'after his re election shirak wished to give a sign of political renewal', 'after his re election sharok wished to give a sign of political renewal', 'after his re election sharok wished to give a son a political renewal', 'after his reelection shirak wished to give a son a political renewal']
[ "get started as an entrepreneur using backing from the family or friends", "get started as an entrepreneur using backing from the family or friends", "get started as an entrepreneur using backing from the family or friends", "get started as an entrepreneur using backking from the family or friends", "get started as an entrepreneur using backking from the family or friends" ]
get started as an entrepreneur using backing from family or friends
get started as an entrepreneur using backing from the family or friends.
get started as an entrepreneur using backing from the family or friends. get started as an entrepreneur using backing from the family or friends. get started as an entrepreneur using backking from the family or friends. get started as an entrepreneur using backking from the family or friends.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['get started as an entrepreneur using backing from the family or friends', 'get started as an entrepreneur using backing from the family or friends', 'get started as an entrepreneur using backing from the family or friends', 'get started as an entrepreneur using backking from the family or friends', 'get started as an entrepreneur using backking from the family or friends']
[ "i ordered for service of housa constabulary", "i word it for service of housa constabulary", "i ordered for service of hausa constabulary", "i word it for service of house constability", "i word it for service of hausa constabulary" ]
awarded for service of hausa constabulary
i ordered for service of housa constabulary.
i word it for service of housa constabulary. i ordered for service of hausa constabulary. i word it for service of house constability. i word it for service of hausa constabulary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i ordered for service of housa constabulary', 'i word it for service of housa constabulary', 'i ordered for service of hausa constabulary', 'i word it for service of house constability', 'i word it for service of hausa constabulary']
[ "the playhouse is strong launch enhanced its reputation among the acting community", "the playhouse is strong launch enhanced its reputation among the acting community", "the playhouse is strong launch enhanced its reputation among the acting community", "the playhouse is strong launch enhanced it is reputation among the acting community", "the playhouse is strong launch enhanced its reputation among the acting community" ]
the playhouse is strong launch enhanced its reputation among the acting community
the playhouse is strong launch enhanced its reputation among the acting community.
the playhouse is strong launch enhanced its reputation among the acting community. the playhouse is strong launch enhanced its reputation among the acting community. the playhouse is strong launch enhanced it is reputation among the acting community. the playhouse is strong launch enhanced its reputation among the acting community.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the playhouse is strong launch enhanced its reputation among the acting community', 'the playhouse is strong launch enhanced its reputation among the acting community', 'the playhouse is strong launch enhanced its reputation among the acting community', 'the playhouse is strong launch enhanced it is reputation among the acting community', 'the playhouse is strong launch enhanced its reputation among the acting community']
[ "some models may be categorized as both", "some models may be categorized as both", "some models may be categorized as both", "some models may be categorized as both", "some models may be categorized as both" ]
some models may be categorized as both
some models may be categorized as both.
some models may be categorized as both. some models may be categorized as both. some models may be categorized as both. some models may be categorized as both.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some models may be categorized as both', 'some models may be categorized as both', 'some models may be categorized as both', 'some models may be categorized as both', 'some models may be categorized as both']
[ "the set was composed omoot entirely of colors", "the set was composed almost entirely of colors", "the set was composed almost entirely of colors", "the set was composed almost entirely of colors", "the set was composed omoot entirely of colors" ]
the set was composed almost entirely of covers
the set was composed omoot entirely of colors.
the set was composed almost entirely of colors. the set was composed almost entirely of colors. the set was composed almost entirely of colors. the set was composed omoot entirely of colors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the set was composed omoot entirely of colors', 'the set was composed almost entirely of colors', 'the set was composed almost entirely of colors', 'the set was composed almost entirely of colors', 'the set was composed omoot entirely of colors']
[ "is the cloth separated from the others and if so where is it", "is the cloth separated from the others and if so where is it", "is the cloth separated from the others and if so where is it", "is the cloth separated from the others and if so where is it", " is the cloth separated from the others and if so where is it" ]
is the cloth separated from the others and if so where is it
is the cloth separated from the others and if so where is it.
is the cloth separated from the others and if so where is it. is the cloth separated from the others and if so where is it. is the cloth separated from the others and if so where is it. is the cloth separated from the others and if so where is it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is the cloth separated from the others and if so where is it', 'is the cloth separated from the others and if so where is it', 'is the cloth separated from the others and if so where is it', 'is the cloth separated from the others and if so where is it', ' is the cloth separated from the others and if so where is it']
[ "opens with the help of his new cloud it is for you to take quickly trail", "opens with the help of his new cloud it is for you to take quickly drill", "opens with the help of his new club it is for you to take quickly trail", "opens with the help of his new cloud it is for you to take quickly trail", "opens with the help of his new cloud it is popular to take quickly trail" ]
opens with the help of his new club its popularity quickly grew
opens with the help of his new cloud it is for you to take quickly trail.
opens with the help of his new cloud it is for you to take quickly drill. opens with the help of his new club it is for you to take quickly trail. opens with the help of his new cloud it is for you to take quickly trail. opens with the help of his new cloud it is popular to take quickly trail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['opens with the help of his new cloud it is for you to take quickly trail', 'opens with the help of his new cloud it is for you to take quickly drill', 'opens with the help of his new club it is for you to take quickly trail', 'opens with the help of his new cloud it is for you to take quickly trail', 'opens with the help of his new cloud it is popular to take quickly trail']
[ "hitting become the first ever question to be given on our behalf for your situation", "hitting become the first ever question to be given on our e houthporya siddhi", "hitting become the first aid of action to be given on our behalf for your situation", "hitting become the first ever question to be given on our e halkkurya siddhi", "hitting become the first ever question to be given on a re houthporya siddhi" ]
hiddink became the first ever person to be given honorary south korean citizenship
hitting become the first ever question to be given on our behalf for your situation.
hitting become the first ever question to be given on our e houthporya siddhi. hitting become the first aid of action to be given on our behalf for your situation. hitting become the first ever question to be given on our e halkkurya siddhi. hitting become the first ever question to be given on a re houthporya siddhi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hitting become the first ever question to be given on our behalf for your situation', 'hitting become the first ever question to be given on our e houthporya siddhi', 'hitting become the first aid of action to be given on our behalf for your situation', 'hitting become the first ever question to be given on our e halkkurya siddhi', 'hitting become the first ever question to be given on a re houthporya siddhi']
[ "diego foulan was awarded the player of the tournament", "diego foulan was awarded the player of the tournament", "diego foulon was awarded the player of the tournament", "diego fallon was awarded the player of the tournament", "diego fallon was awarded the player of the tournament" ]
diego forlan was awarded the player of the tournament
diego foulan was awarded the player of the tournament.
diego foulan was awarded the player of the tournament. diego foulon was awarded the player of the tournament. diego fallon was awarded the player of the tournament. diego fallon was awarded the player of the tournament.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['diego foulan was awarded the player of the tournament', 'diego foulan was awarded the player of the tournament', 'diego foulon was awarded the player of the tournament', 'diego fallon was awarded the player of the tournament', 'diego fallon was awarded the player of the tournament']
[ "broadware was part of the one hundred of aptic and worston", "brow to a woes part of the one hundred of aptic and woes tone", "brow to a woes part of the one hundred of aptic and woes torn", "broadway was part of the one hundred of aptic and worston", "brow to a woes part of the one hundred of aptic and woes stone" ]
broadway was part of the hundred of abdick and bulstone
broadware was part of the one hundred of aptic and worston.
brow to a woes part of the one hundred of aptic and woes tone. brow to a woes part of the one hundred of aptic and woes torn. broadway was part of the one hundred of aptic and worston. brow to a woes part of the one hundred of aptic and woes stone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['broadware was part of the one hundred of aptic and worston', 'brow to a woes part of the one hundred of aptic and woes tone', 'brow to a woes part of the one hundred of aptic and woes torn', 'broadway was part of the one hundred of aptic and worston', 'brow to a woes part of the one hundred of aptic and woes stone']
[ "he later broke contract to write for carol burnett with stan hart", "he later broke contract to write for carol burnett with stan hart", "he later broke contract to write for carroll burnett with stan hart", "he later broke contract to write for carol burnett with stanhardt", "he later broke contract to write for carrell burnett with stan hart" ]
he later broke contract to write for carol burnett with stan hart
he later broke contract to write for carol burnett with stan hart.
he later broke contract to write for carol burnett with stan hart. he later broke contract to write for carroll burnett with stan hart. he later broke contract to write for carol burnett with stanhardt. he later broke contract to write for carrell burnett with stan hart.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he later broke contract to write for carol burnett with stan hart', 'he later broke contract to write for carol burnett with stan hart', 'he later broke contract to write for carroll burnett with stan hart', 'he later broke contract to write for carol burnett with stanhardt', 'he later broke contract to write for carrell burnett with stan hart']
[ "that was my first thought", "that is my first thought", "that was my first thought", "that is my first thought", "that is my first thought" ]
that was my first thought
that was my first thought.
that is my first thought. that was my first thought. that is my first thought. that is my first thought.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['that was my first thought', 'that is my first thought', 'that was my first thought', 'that is my first thought', 'that is my first thought']
[ "this political division was never successful and its implementation was canceled", "this political division was never successful and its implementation was canceled", "this political division was never successful and its implementation was canceled", "this political division was never successful and its implementation was canceled", "this political division was never successful and it is implementation was canceled" ]
this political division was never successful and its implementation was canceled
this political division was never successful and its implementation was canceled.
this political division was never successful and its implementation was canceled. this political division was never successful and its implementation was canceled. this political division was never successful and its implementation was canceled. this political division was never successful and it is implementation was canceled.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this political division was never successful and its implementation was canceled', 'this political division was never successful and its implementation was canceled', 'this political division was never successful and its implementation was canceled', 'this political division was never successful and its implementation was canceled', 'this political division was never successful and it is implementation was canceled']
[ "it was essimo is third published poster tronic robot story", "as the most fur published poster tronic robot story", "as the most fur published positive tronic robot story", "it was essimo is third published post itronic robot story", "it was essimo is third published positive tronic robot story" ]
it was asimov is third published positronic robot story
it was essimo is third published poster tronic robot story.
as the most fur published poster tronic robot story. as the most fur published positive tronic robot story. it was essimo is third published post itronic robot story. it was essimo is third published positive tronic robot story.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was essimo is third published poster tronic robot story', 'as the most fur published poster tronic robot story', 'as the most fur published positive tronic robot story', 'it was essimo is third published post itronic robot story', 'it was essimo is third published positive tronic robot story']
[ "the alien accepts and a new day like no other dance for humanity", "the alien accepts and a new day like no other downs for humanity", "the alien accepts and a new day like no other downs for humanity", "the alien accepts and a new day like no other dawns for humanity", "the alien accepts and a new day like no other dons for humanity" ]
the alien accepts and a new day like no other dawns for humanity
the alien accepts and a new day like no other dance for humanity.
the alien accepts and a new day like no other downs for humanity. the alien accepts and a new day like no other downs for humanity. the alien accepts and a new day like no other dawns for humanity. the alien accepts and a new day like no other dons for humanity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the alien accepts and a new day like no other dance for humanity', 'the alien accepts and a new day like no other downs for humanity', 'the alien accepts and a new day like no other downs for humanity', 'the alien accepts and a new day like no other dawns for humanity', 'the alien accepts and a new day like no other dons for humanity']
[ "your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars", "your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars", "your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars", "your rungar was tortured along with abdulrahman disneyed by including by beating with iron bars", "your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars" ]
yorongar was tortured along with abderhamane djesnebaye including by being beaten with iron bars
your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars.
your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars. your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars. your rungar was tortured along with abdulrahman disneyed by including by beating with iron bars. your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars', 'your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars', 'your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars', 'your rungar was tortured along with abdulrahman disneyed by including by beating with iron bars', 'your rungar was tortured along with abdul rahman disneyed by including by beating with iron bars']
[ "after seeing that make pause determine to see if in a benign fight the bull cobs side", "after seeing that make pause determine to see if in a benign quite the bull cobs sire", "after seeing that make pause determine to see in a benign quite the bull cobs sire", "after seeing that make pause determine to see if in a benign fight the bull cobs sire", "after seeing that make pause determine to see in a benign quite the bull cobs side" ]
after seeing that medb was determined to see finnbhennach fight the bull calf is sire
after seeing that make pause determine to see if in a benign fight the bull cobs side.
after seeing that make pause determine to see if in a benign quite the bull cobs sire. after seeing that make pause determine to see in a benign quite the bull cobs sire. after seeing that make pause determine to see if in a benign fight the bull cobs sire. after seeing that make pause determine to see in a benign quite the bull cobs side.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after seeing that make pause determine to see if in a benign fight the bull cobs side', 'after seeing that make pause determine to see if in a benign quite the bull cobs sire', 'after seeing that make pause determine to see in a benign quite the bull cobs sire', 'after seeing that make pause determine to see if in a benign fight the bull cobs sire', 'after seeing that make pause determine to see in a benign quite the bull cobs side']
[ "a public assembly was held every monday after its foundation", "our public assembly was held every monday after its foundation", "a public assembly was held every monday after it is foundation", "our public assembly was held every monday after its foundation", "our public assembly was held every monday after its foundation" ]
a public assembly was held every monday after its foundation
a public assembly was held every monday after its foundation.
our public assembly was held every monday after its foundation. a public assembly was held every monday after it is foundation. our public assembly was held every monday after its foundation. our public assembly was held every monday after its foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a public assembly was held every monday after its foundation', 'our public assembly was held every monday after its foundation', 'a public assembly was held every monday after it is foundation', 'our public assembly was held every monday after its foundation', 'our public assembly was held every monday after its foundation']
[ "she appeared on comedy central is comedy central presence and in numerous college shows", "she appeared on comedy central is comedy central presents and in numerous college shows", "she appeared on comedy central is comedy central presence and in numerous college shows", "she appeared on comedy central is comedy central presents and in numerous college shows", "she appeared on comedy central is comedy central presence and in numerous college shows" ]
she has appeared on comedy central is comedy central presents and in numerous college shows
she appeared on comedy central is comedy central presence and in numerous college shows.
she appeared on comedy central is comedy central presents and in numerous college shows. she appeared on comedy central is comedy central presence and in numerous college shows. she appeared on comedy central is comedy central presents and in numerous college shows. she appeared on comedy central is comedy central presence and in numerous college shows.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she appeared on comedy central is comedy central presence and in numerous college shows', 'she appeared on comedy central is comedy central presents and in numerous college shows', 'she appeared on comedy central is comedy central presence and in numerous college shows', 'she appeared on comedy central is comedy central presents and in numerous college shows', 'she appeared on comedy central is comedy central presence and in numerous college shows']
[ "the district is notable for its large amount of nineteenth century architecture", "the district is notable for its large amount of nineteenth century architecture", "the district is notable for its large amount of nineteenth century architecture", "the district is notable for its large amount of nineteenth century architecture", "the district is notable for its large amount of nineteenth century architecture" ]
the district is notable for its large amount of nineteenth century architecture
the district is notable for its large amount of nineteenth century architecture.
the district is notable for its large amount of nineteenth century architecture. the district is notable for its large amount of nineteenth century architecture. the district is notable for its large amount of nineteenth century architecture. the district is notable for its large amount of nineteenth century architecture.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the district is notable for its large amount of nineteenth century architecture', 'the district is notable for its large amount of nineteenth century architecture', 'the district is notable for its large amount of nineteenth century architecture', 'the district is notable for its large amount of nineteenth century architecture', 'the district is notable for its large amount of nineteenth century architecture']
[ "the english dubbing also directed by ocelot was made in south africa", "the english dubbing also directed by osolot was made in south africa", "the english dubbing also directed by ocelot was made in south africa", "the english dubbing also directed by osolott was made in south africa", "the english dubbing also directed by osalot was made in south africa" ]
the english dubbing also directed by ocelot was made in south africa
the english dubbing also directed by ocelot was made in south africa.
the english dubbing also directed by osolot was made in south africa. the english dubbing also directed by ocelot was made in south africa. the english dubbing also directed by osolott was made in south africa. the english dubbing also directed by osalot was made in south africa.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the english dubbing also directed by ocelot was made in south africa', 'the english dubbing also directed by osolot was made in south africa', 'the english dubbing also directed by ocelot was made in south africa', 'the english dubbing also directed by osolott was made in south africa', 'the english dubbing also directed by osalot was made in south africa']
[ "such instructions may have greater licensey however than the bit twiddling solution", "such instructions may have greater licensee however than the bit twiddling solution", "such instructions may have greater latency however than the bit twiddling solution", "such instructions may have greater licensey however than the bit twiddling solution", "such instructions may have greater licensee however than the bit twiddling solution" ]
such instructions may have greater latency however than the bit twiddling solution
such instructions may have greater licensey however than the bit twiddling solution.
such instructions may have greater licensee however than the bit twiddling solution. such instructions may have greater latency however than the bit twiddling solution. such instructions may have greater licensey however than the bit twiddling solution. such instructions may have greater licensee however than the bit twiddling solution.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['such instructions may have greater licensey however than the bit twiddling solution', 'such instructions may have greater licensee however than the bit twiddling solution', 'such instructions may have greater latency however than the bit twiddling solution', 'such instructions may have greater licensey however than the bit twiddling solution', 'such instructions may have greater licensee however than the bit twiddling solution']
[ "this plant has been given a royal court cultural society award of god and merit", "this plant has been given a royal court cultural society award of god in merit", "this plant has been given a royal court of cultural society award of god and merit", "this plant has been given a royal court of cultural society award of god and merit", "this plant has been given a royal court of cultural society award of god in merit" ]
this plant has been given a royal horticultural society award of garden merit
this plant has been given a royal court cultural society award of god and merit.
this plant has been given a royal court cultural society award of god in merit. this plant has been given a royal court of cultural society award of god and merit. this plant has been given a royal court of cultural society award of god and merit. this plant has been given a royal court of cultural society award of god in merit.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this plant has been given a royal court cultural society award of god and merit', 'this plant has been given a royal court cultural society award of god in merit', 'this plant has been given a royal court of cultural society award of god and merit', 'this plant has been given a royal court of cultural society award of god and merit', 'this plant has been given a royal court of cultural society award of god in merit']
[ "less than one crater diameter to the west north west is the slightly larger", "less than one crater diameter to the west north west is the slightly larger delperate", "less than one crater diameter to the west north west is the slightly larger delperate", "less than one crata diameter to the west north west is the slightly larger delperate", "less than one crater diameter to the west north west is the slightly larger delperate" ]
less than one crater diameter to the west northwest is the slightly larger delporte
less than one crater diameter to the west north west is the slightly larger.
less than one crater diameter to the west north west is the slightly larger delperate. less than one crater diameter to the west north west is the slightly larger delperate. less than one crata diameter to the west north west is the slightly larger delperate. less than one crater diameter to the west north west is the slightly larger delperate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['less than one crater diameter to the west north west is the slightly larger', 'less than one crater diameter to the west north west is the slightly larger delperate', 'less than one crater diameter to the west north west is the slightly larger delperate', 'less than one crata diameter to the west north west is the slightly larger delperate', 'less than one crater diameter to the west north west is the slightly larger delperate']
[ "andrew kirkpatrick replaced vaughn as leader of the official labor party", "andrew kirkpatrick replaced vaughan as leader of the official labor party", "andrew kirkpatrick replaced vaughn as leader of the official labor party", "andrew kirkpatrick replaced vaughn as leader of the official labor party", "andrew kirkpatrick replaced vaughn as leader of the official labor party" ]
andrew kirkpatrick replaced vaughan as leader of the official labor party
andrew kirkpatrick replaced vaughn as leader of the official labor party.
andrew kirkpatrick replaced vaughan as leader of the official labor party. andrew kirkpatrick replaced vaughn as leader of the official labor party. andrew kirkpatrick replaced vaughn as leader of the official labor party. andrew kirkpatrick replaced vaughn as leader of the official labor party.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['andrew kirkpatrick replaced vaughn as leader of the official labor party', 'andrew kirkpatrick replaced vaughan as leader of the official labor party', 'andrew kirkpatrick replaced vaughn as leader of the official labor party', 'andrew kirkpatrick replaced vaughn as leader of the official labor party', 'andrew kirkpatrick replaced vaughn as leader of the official labor party']
[ "the nearest coastal town to keep calm entities is crainere", "the nearest coastal town cape cormacates is crainere", "the nearest coastal town to cape cormacates is crainere", "the nearest coastal town cape cormacitis is crainere", "the nearest coastal town cape cormacatus is crainere" ]
the nearest coastal town to cape kormakitis is kyrenia
the nearest coastal town to keep calm entities is crainere.
the nearest coastal town cape cormacates is crainere. the nearest coastal town to cape cormacates is crainere. the nearest coastal town cape cormacitis is crainere. the nearest coastal town cape cormacatus is crainere.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the nearest coastal town to keep calm entities is crainere', 'the nearest coastal town cape cormacates is crainere', 'the nearest coastal town to cape cormacates is crainere', 'the nearest coastal town cape cormacitis is crainere', 'the nearest coastal town cape cormacatus is crainere']
[ "the extra moolocrest that was variable in my hypers became permanent in para hypers", "the extra moolocrest that was variable in my hypers became permanent in pera hypers", "the extra mullocrest that was variable in my hypers became permanent in pera hypers", "the extra moolocrest that was variable in my hypers became permanent in pera hypers", "the extra mullocrest that was variable in my hypers became permanent in para hypers" ]
the extra molar crest that was variable in miohippus became permanent in parahippus
the extra moolocrest that was variable in my hypers became permanent in para hypers.
the extra moolocrest that was variable in my hypers became permanent in pera hypers. the extra mullocrest that was variable in my hypers became permanent in pera hypers. the extra moolocrest that was variable in my hypers became permanent in pera hypers. the extra mullocrest that was variable in my hypers became permanent in para hypers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the extra moolocrest that was variable in my hypers became permanent in para hypers', 'the extra moolocrest that was variable in my hypers became permanent in pera hypers', 'the extra mullocrest that was variable in my hypers became permanent in pera hypers', 'the extra moolocrest that was variable in my hypers became permanent in pera hypers', 'the extra mullocrest that was variable in my hypers became permanent in para hypers']
[ "no tarakshu may not mean the same as existing", "no tarakshu may not mean the same as existing", "no tarakshu may no mean the same as existing", "not a reaction may not mean the same as existing", "no tarakshu may not mean the same as existing" ]
note that actual may not mean the same as existing
no tarakshu may not mean the same as existing.
no tarakshu may not mean the same as existing. no tarakshu may no mean the same as existing. not a reaction may not mean the same as existing. no tarakshu may not mean the same as existing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no tarakshu may not mean the same as existing', 'no tarakshu may not mean the same as existing', 'no tarakshu may no mean the same as existing', 'not a reaction may not mean the same as existing', 'no tarakshu may not mean the same as existing']
[ "conor dragon and lee quinn were the gold squirrels", "conor dragon and lee quinn were the gold spores", "conor dragon and lee quen were the gold squirrels", "conor dragon and lee quen were the gold spores", "connor mcgregorne and lee quinn were the gold squirrels" ]
conor gribben and lee quinn were the goal scorers
conor dragon and lee quinn were the gold squirrels.
conor dragon and lee quinn were the gold spores. conor dragon and lee quen were the gold squirrels. conor dragon and lee quen were the gold spores. connor mcgregorne and lee quinn were the gold squirrels.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['conor dragon and lee quinn were the gold squirrels', 'conor dragon and lee quinn were the gold spores', 'conor dragon and lee quen were the gold squirrels', 'conor dragon and lee quen were the gold spores', 'connor mcgregorne and lee quinn were the gold squirrels']
[ "there is access from bennett avenue via a tunnel", "there is access from bennet avenue via a tunnel", "there is access from bene avenue via a tunnel", "there is access from bennett avenue via a tunnel", "there is access from bene avenue via a tunnel" ]
there is access from bennett avenue via a tunnel
there is access from bennett avenue via a tunnel.
there is access from bennet avenue via a tunnel. there is access from bene avenue via a tunnel. there is access from bennett avenue via a tunnel. there is access from bene avenue via a tunnel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is access from bennett avenue via a tunnel', 'there is access from bennet avenue via a tunnel', 'there is access from bene avenue via a tunnel', 'there is access from bennett avenue via a tunnel', 'there is access from bene avenue via a tunnel']
[ "she was afterwards killed by thesis and her tomb was shown at athens", "she was afterwards killed by thesis and her tomb was shown at athens", "she was afterwards killed by thesis and her tomb was shown at athens", "she was afterwards killed by thesis and her tomb was shown in athens", "she was afterwards killed by thesis and her tomb was shown in athens" ]
she was afterwards killed by theseus and her tomb was shown at athens
she was afterwards killed by thesis and her tomb was shown at athens.
she was afterwards killed by thesis and her tomb was shown at athens. she was afterwards killed by thesis and her tomb was shown at athens. she was afterwards killed by thesis and her tomb was shown in athens. she was afterwards killed by thesis and her tomb was shown in athens.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was afterwards killed by thesis and her tomb was shown at athens', 'she was afterwards killed by thesis and her tomb was shown at athens', 'she was afterwards killed by thesis and her tomb was shown at athens', 'she was afterwards killed by thesis and her tomb was shown in athens', 'she was afterwards killed by thesis and her tomb was shown in athens']
[ "he was later named to the college football hall of fame", "he was later named to the college food ball hall of fame", "he was later named to the college football hall of fame", "he was later named to the college football hall of fame", "he was laid a name to the college football hall of fame" ]
he was later named to the college football hall of fame
he was later named to the college football hall of fame.
he was later named to the college food ball hall of fame. he was later named to the college football hall of fame. he was later named to the college football hall of fame. he was laid a name to the college football hall of fame.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was later named to the college football hall of fame', 'he was later named to the college food ball hall of fame', 'he was later named to the college football hall of fame', 'he was later named to the college football hall of fame', 'he was laid a name to the college football hall of fame']
[ "i once attended simon gratis school", "i went to attend simon gratis school", "i once attended simon gratt high school", "i once attended simon grat high school", "i once attended simon grad high school" ]
owens attended simon gratz high school
i once attended simon gratis school.
i went to attend simon gratis school. i once attended simon gratt high school. i once attended simon grat high school. i once attended simon grad high school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i once attended simon gratis school', 'i went to attend simon gratis school', 'i once attended simon gratt high school', 'i once attended simon grat high school', 'i once attended simon grad high school']
[ "some of memos explains various memos through many memes", "some of memos explains various memos through many memes", "who of memos explains various memos through many memes", "full of memos explains various memos through many memes", "full of memos explains various memos through many memes" ]
hall of mammals explains various mammals through many means
some of memos explains various memos through many memes.
some of memos explains various memos through many memes. who of memos explains various memos through many memes. full of memos explains various memos through many memes. full of memos explains various memos through many memes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some of memos explains various memos through many memes', 'some of memos explains various memos through many memes', 'who of memos explains various memos through many memes', 'full of memos explains various memos through many memes', 'full of memos explains various memos through many memes']
[ "prospect click wines through it", "prospect greek wines through it", "prospect creek wines through it", "prospect creek wines through it", "prospect creak wines through it" ]
prospect creek winds through it
prospect click wines through it.
prospect greek wines through it. prospect creek wines through it. prospect creek wines through it. prospect creak wines through it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['prospect click wines through it', 'prospect greek wines through it', 'prospect creek wines through it', 'prospect creek wines through it', 'prospect creak wines through it']
[ "these two passages were arranged on the published writings about homosexuality", "these two passages were iran is only published writings about homosexuality", "these two passages were arranged on the published writing about homosexuality", "these two passages will rant on the published writings about homosexuality", "these two passages were arranged only to publish writings about homosexuality" ]
these two passages were rand is only published writings about homosexuality
these two passages were arranged on the published writings about homosexuality.
these two passages were iran is only published writings about homosexuality. these two passages were arranged on the published writing about homosexuality. these two passages will rant on the published writings about homosexuality. these two passages were arranged only to publish writings about homosexuality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these two passages were arranged on the published writings about homosexuality', 'these two passages were iran is only published writings about homosexuality', 'these two passages were arranged on the published writing about homosexuality', 'these two passages will rant on the published writings about homosexuality', 'these two passages were arranged only to publish writings about homosexuality']
[ "she also serves as patron for watersprite the cambridge international student film festival", "cosels as patron for watersprite the cambridge international student film festival", "cosels as pattern for water sprite the cambridge international student film festival", "she also serves as patron for waterspite the cambridge international student film festival", "cosels as patron for water sprite the cambridge international student film festival" ]
she also serves as patron for watersprite the cambridge international student film festival
she also serves as patron for watersprite the cambridge international student film festival.
cosels as patron for watersprite the cambridge international student film festival. cosels as pattern for water sprite the cambridge international student film festival. she also serves as patron for waterspite the cambridge international student film festival. cosels as patron for water sprite the cambridge international student film festival.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she also serves as patron for watersprite the cambridge international student film festival', 'cosels as patron for watersprite the cambridge international student film festival', 'cosels as pattern for water sprite the cambridge international student film festival', 'she also serves as patron for waterspite the cambridge international student film festival', 'cosels as patron for water sprite the cambridge international student film festival']
[ "these include ladies spring wood park bank wood boat chief park and two golf courses", "these include ladies spring wood park bank wood bow chief park and two golf courses", "these include ladies spring wood park bank wood boat chief park and two golf courses", "these include ladies spring wood park bank wood bow chief park and two golf courses", "these include ladies spring wood park bank wood boat chief park and two golf courses" ]
these include ladies spring wood parkbank wood beauchief park and two golf courses
these include ladies spring wood park bank wood boat chief park and two golf courses.
these include ladies spring wood park bank wood bow chief park and two golf courses. these include ladies spring wood park bank wood boat chief park and two golf courses. these include ladies spring wood park bank wood bow chief park and two golf courses. these include ladies spring wood park bank wood boat chief park and two golf courses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these include ladies spring wood park bank wood boat chief park and two golf courses', 'these include ladies spring wood park bank wood bow chief park and two golf courses', 'these include ladies spring wood park bank wood boat chief park and two golf courses', 'these include ladies spring wood park bank wood bow chief park and two golf courses', 'these include ladies spring wood park bank wood boat chief park and two golf courses']
[ "he allowed harcat to live with him for a week or two", "he allowed harcat to live within proecotwo", "he allowed hard cut to live within proecotwo", "he allowed hardcut to live within proecotwo", "he allowed hard cut to live within proecotwo" ]
he allowed harkat to live with him for a week or two
he allowed harcat to live with him for a week or two.
he allowed harcat to live within proecotwo. he allowed hard cut to live within proecotwo. he allowed hardcut to live within proecotwo. he allowed hard cut to live within proecotwo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he allowed harcat to live with him for a week or two', 'he allowed harcat to live within proecotwo', 'he allowed hard cut to live within proecotwo', 'he allowed hardcut to live within proecotwo', 'he allowed hard cut to live within proecotwo']
[ "the village also contains a free bookcook exchange housing and a red telephone box", "the village also contains a free bookcook exchange housing and red telephone box", "the village also contains a free book to exchange hours on the red telephone box", "the village also contains a free bookcook exchange housing and the red telephone box", "the village also contains a free bookcook exchange housing and a red telephone box" ]
the village also contains a free book exchange housed in a red telephone box
the village also contains a free bookcook exchange housing and a red telephone box.
the village also contains a free bookcook exchange housing and red telephone box. the village also contains a free book to exchange hours on the red telephone box. the village also contains a free bookcook exchange housing and the red telephone box. the village also contains a free bookcook exchange housing and a red telephone box.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village also contains a free bookcook exchange housing and a red telephone box', 'the village also contains a free bookcook exchange housing and red telephone box', 'the village also contains a free book to exchange hours on the red telephone box', 'the village also contains a free bookcook exchange housing and the red telephone box', 'the village also contains a free bookcook exchange housing and a red telephone box']
[ "the south edge of the city is the kansas oklahoma state boarder", "the south edge of the city is the kansas oklahoma state border", "the south edge of the city is the kansas oklahoma state boarder", "the south edge of the city is the kansas oklahoma state border", "the south edge of the city is the kansas oklahoma state border" ]
the south edge of the city is the kansas oklahoma state border
the south edge of the city is the kansas oklahoma state boarder.
the south edge of the city is the kansas oklahoma state border. the south edge of the city is the kansas oklahoma state boarder. the south edge of the city is the kansas oklahoma state border. the south edge of the city is the kansas oklahoma state border.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the south edge of the city is the kansas oklahoma state boarder', 'the south edge of the city is the kansas oklahoma state border', 'the south edge of the city is the kansas oklahoma state boarder', 'the south edge of the city is the kansas oklahoma state border', 'the south edge of the city is the kansas oklahoma state border']
[ "the book details duke is social philosophy particularly is reasoning in support of racial separation", "the book details dukes social philosophy particularly is reasoning in support of racial separation", "the book details duke is social philosophy particularly his reasoning and support", "the book details duke is social philosophy particularly is the reasoning and support of racial separation", "the book details duke is social philosophy particularly his reasoning in support of racial separation" ]
the book details duke is social philosophies particularly his reasoning in support of racial separation
the book details duke is social philosophy particularly is reasoning in support of racial separation.
the book details dukes social philosophy particularly is reasoning in support of racial separation. the book details duke is social philosophy particularly his reasoning and support. the book details duke is social philosophy particularly is the reasoning and support of racial separation. the book details duke is social philosophy particularly his reasoning in support of racial separation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the book details duke is social philosophy particularly is reasoning in support of racial separation', 'the book details dukes social philosophy particularly is reasoning in support of racial separation', 'the book details duke is social philosophy particularly his reasoning and support', 'the book details duke is social philosophy particularly is the reasoning and support of racial separation', 'the book details duke is social philosophy particularly his reasoning in support of racial separation']
[ "recently its use in treating aceneto bacter septicema is receiving renewed interest", "recently its use in treating acineto bacter septicema is receiving renewed interest", "recently its use in treating asceneto bacter septicema is receiving renewed interest", "recently its use in treating aceneto bacter septusema is receiving renewed interest", "recently its use in treating asinido bacter septicema is receiving renewed interest" ]
recently its use in treating acinetobacter septicemia is receiving renewed interest
recently its use in treating aceneto bacter septicema is receiving renewed interest.
recently its use in treating acineto bacter septicema is receiving renewed interest. recently its use in treating asceneto bacter septicema is receiving renewed interest. recently its use in treating aceneto bacter septusema is receiving renewed interest. recently its use in treating asinido bacter septicema is receiving renewed interest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['recently its use in treating aceneto bacter septicema is receiving renewed interest', 'recently its use in treating acineto bacter septicema is receiving renewed interest', 'recently its use in treating asceneto bacter septicema is receiving renewed interest', 'recently its use in treating aceneto bacter septusema is receiving renewed interest', 'recently its use in treating asinido bacter septicema is receiving renewed interest']
[ "the player can make as many lapses needed to clear the given stage", "the player can make as many laps as needed to clear the given stage", "the player can make as many laps as needed to clear the given stage", "the player can make as many lapses needed to clear the given stage", "the player can make as many lapses as needed to clear the given stage" ]
the player can make as many laps as needed to clear a given stage
the player can make as many lapses needed to clear the given stage.
the player can make as many laps as needed to clear the given stage. the player can make as many laps as needed to clear the given stage. the player can make as many lapses needed to clear the given stage. the player can make as many lapses as needed to clear the given stage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the player can make as many lapses needed to clear the given stage', 'the player can make as many laps as needed to clear the given stage', 'the player can make as many laps as needed to clear the given stage', 'the player can make as many lapses needed to clear the given stage', 'the player can make as many lapses as needed to clear the given stage']
[ "on proud mary lawrence fishburn sings echterners parts", "on proud mary lawrence fishburn sings ecturners parts", "on proud mary lawrence fishburn sings ecterners parts", "on proud mary lawrence fishburn sings ecterners parts", "on proud mary lawrence fishburn sings ecturner is parts" ]
on proud mary laurence fishburne sings ike turner is parts
on proud mary lawrence fishburn sings echterners parts.
on proud mary lawrence fishburn sings ecturners parts. on proud mary lawrence fishburn sings ecterners parts. on proud mary lawrence fishburn sings ecterners parts. on proud mary lawrence fishburn sings ecturner is parts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on proud mary lawrence fishburn sings echterners parts', 'on proud mary lawrence fishburn sings ecturners parts', 'on proud mary lawrence fishburn sings ecterners parts', 'on proud mary lawrence fishburn sings ecterners parts', 'on proud mary lawrence fishburn sings ecturner is parts']
[ "popular drinks became more expensive while unpopular drinks became cheaper", "popular drinks became more expensive while unpopular drinks became cheaper", "popular drinks became more expensive while unpopular drinks became cheaper", "popular drinks became more expensive while unpopular drinks became cheaper", "popular drinks became more expensive while unpopular drinks became cheaper" ]
popular drinks become more expensive while unpopular drinks become cheaper
popular drinks became more expensive while unpopular drinks became cheaper.
popular drinks became more expensive while unpopular drinks became cheaper. popular drinks became more expensive while unpopular drinks became cheaper. popular drinks became more expensive while unpopular drinks became cheaper. popular drinks became more expensive while unpopular drinks became cheaper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['popular drinks became more expensive while unpopular drinks became cheaper', 'popular drinks became more expensive while unpopular drinks became cheaper', 'popular drinks became more expensive while unpopular drinks became cheaper', 'popular drinks became more expensive while unpopular drinks became cheaper', 'popular drinks became more expensive while unpopular drinks became cheaper']
[ "she looked at him contemptiously but he took no notice", "she looked at him contemptiously but he took no notice", "she looked at him contemplatively but he took no notice", "she looked at him contemporarily but he took no notice", "she looked at him contemplatively but he took no notice" ]
she looked at him contemptuously but he took no notice
she looked at him contemptiously but he took no notice.
she looked at him contemptiously but he took no notice. she looked at him contemplatively but he took no notice. she looked at him contemporarily but he took no notice. she looked at him contemplatively but he took no notice.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she looked at him contemptiously but he took no notice', 'she looked at him contemptiously but he took no notice', 'she looked at him contemplatively but he took no notice', 'she looked at him contemporarily but he took no notice', 'she looked at him contemplatively but he took no notice']
[ "a number of different reptiles including bad angels have also been spotted", "a number of different reptiles including bad angels have also been spotted", "a number of different raptors including bad angels have also been spotted", "a number of different reptiles including bad angels have also been spotted", "a number of different raptors including bad angels have also been spotted" ]
a number of different raptors including bald eagles have also been spotted
a number of different reptiles including bad angels have also been spotted.
a number of different reptiles including bad angels have also been spotted. a number of different raptors including bad angels have also been spotted. a number of different reptiles including bad angels have also been spotted. a number of different raptors including bad angels have also been spotted.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a number of different reptiles including bad angels have also been spotted', 'a number of different reptiles including bad angels have also been spotted', 'a number of different raptors including bad angels have also been spotted', 'a number of different reptiles including bad angels have also been spotted', 'a number of different raptors including bad angels have also been spotted']
[ "my child what questions are these", "my child what questions are these", "my child what questions are these", "my child what questions are these", "my child what questions are these" ]
my child what questions are these
my child what questions are these.
my child what questions are these. my child what questions are these. my child what questions are these. my child what questions are these.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my child what questions are these', 'my child what questions are these', 'my child what questions are these', 'my child what questions are these', 'my child what questions are these']
[ "he also previously served as an administrator at his college alma mater", "you also previously served as an administrator at his college alma mater", "you also previously served as an administrator at his college alma mater", "he also previously served as an administrator at his college alma mater", "he also previously served as an administrator at his college alma mater" ]
he had also previously served as an administrator at his college alma mater
he also previously served as an administrator at his college alma mater.
you also previously served as an administrator at his college alma mater. you also previously served as an administrator at his college alma mater. he also previously served as an administrator at his college alma mater. he also previously served as an administrator at his college alma mater.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also previously served as an administrator at his college alma mater', 'you also previously served as an administrator at his college alma mater', 'you also previously served as an administrator at his college alma mater', 'he also previously served as an administrator at his college alma mater', 'he also previously served as an administrator at his college alma mater']
[ "the entry also omitted using the name republic of china", "the entry also omitted using the name republic of china", "the entry also omitted using the name republic of china", "the entry also omitted using the name republic of china", "the entry also omitted using the name republic of china" ]
the entry also omitted using the name republic of china
the entry also omitted using the name republic of china.
the entry also omitted using the name republic of china. the entry also omitted using the name republic of china. the entry also omitted using the name republic of china. the entry also omitted using the name republic of china.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the entry also omitted using the name republic of china', 'the entry also omitted using the name republic of china', 'the entry also omitted using the name republic of china', 'the entry also omitted using the name republic of china', 'the entry also omitted using the name republic of china']
[ "then he flung them down", "then he flung them down", "then he flung them down", "then he flung them down", "then he flung them down" ]
then he flung them down
then he flung them down.
then he flung them down. then he flung them down. then he flung them down. then he flung them down.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then he flung them down', 'then he flung them down', 'then he flung them down', 'then he flung them down', 'then he flung them down']
[ "gilbu retired following heart surgery and moved to palmdale california", "gilboo retired following heart surgery and moved to palmdale california", "gilbu retired following heart surgery and moved to palmdale california", "gilbu retired following heart surgery and moved to palmdale california", "gilbu retired following heart surgery and moved to pounddale california" ]
guilbeau retired following heart surgery and moved to palmdale california
gilbu retired following heart surgery and moved to palmdale california.
gilboo retired following heart surgery and moved to palmdale california. gilbu retired following heart surgery and moved to palmdale california. gilbu retired following heart surgery and moved to palmdale california. gilbu retired following heart surgery and moved to pounddale california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gilbu retired following heart surgery and moved to palmdale california', 'gilboo retired following heart surgery and moved to palmdale california', 'gilbu retired following heart surgery and moved to palmdale california', 'gilbu retired following heart surgery and moved to palmdale california', 'gilbu retired following heart surgery and moved to pounddale california']
[ "to the west is a large area with huge sand dunes", "to the west is a larger area with huge sand dunes", "to the west is a large area with huge sand dunes", "to the west is a large area with huge tan dunes", "to the west is a lageria with huge sand dunes" ]
to the west is a large area with huge sand dunes
to the west is a large area with huge sand dunes.
to the west is a larger area with huge sand dunes. to the west is a large area with huge sand dunes. to the west is a large area with huge tan dunes. to the west is a lageria with huge sand dunes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to the west is a large area with huge sand dunes', 'to the west is a larger area with huge sand dunes', 'to the west is a large area with huge sand dunes', 'to the west is a large area with huge tan dunes', 'to the west is a lageria with huge sand dunes']
[ "the dart was also produced under license in india by hindustan aeronautics limited", "the dart was also produced under license in india by hindustan aeronautics limited", "the dart was also produced under license in india by hindustan aeronautics limited", "the dart was also produced under license in india by hindustan aeronautics ltd", "the dart was also produced under license in india by hindu saan aeronautics limited" ]
the dart was also produced under license in india by hindustan aeronautics limited
the dart was also produced under license in india by hindustan aeronautics limited.
the dart was also produced under license in india by hindustan aeronautics limited. the dart was also produced under license in india by hindustan aeronautics limited. the dart was also produced under license in india by hindustan aeronautics ltd. the dart was also produced under license in india by hindu saan aeronautics limited.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dart was also produced under license in india by hindustan aeronautics limited', 'the dart was also produced under license in india by hindustan aeronautics limited', 'the dart was also produced under license in india by hindustan aeronautics limited', 'the dart was also produced under license in india by hindustan aeronautics ltd', 'the dart was also produced under license in india by hindu saan aeronautics limited']
[ "the final layer is first marked with us", "the final layer is fast marked with us", "the final layer is first marked with us", "the final layer is first marked with us", "the final layer is first marked with us" ]
the final aria is faster marked vivace
the final layer is first marked with us.
the final layer is fast marked with us. the final layer is first marked with us. the final layer is first marked with us. the final layer is first marked with us.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the final layer is first marked with us', 'the final layer is fast marked with us', 'the final layer is first marked with us', 'the final layer is first marked with us', 'the final layer is first marked with us']
[ "he led komoto promotion into cdb but was unable to avoid relocation", "he led komoto promotion into cdv but was unable to avoid relocation", "he led komodo promotion into cdb but was unable to avoid relocation", "he led komodo promotion into cdv but was unable to avoid relocation", "he led komoto promotion into cdb but was unable to avoid relocation" ]
he led como to promotion into serie b but was unable to avoid relegation
he led komoto promotion into cdb but was unable to avoid relocation.
he led komoto promotion into cdv but was unable to avoid relocation. he led komodo promotion into cdb but was unable to avoid relocation. he led komodo promotion into cdv but was unable to avoid relocation. he led komoto promotion into cdb but was unable to avoid relocation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he led komoto promotion into cdb but was unable to avoid relocation', 'he led komoto promotion into cdv but was unable to avoid relocation', 'he led komodo promotion into cdb but was unable to avoid relocation', 'he led komodo promotion into cdv but was unable to avoid relocation', 'he led komoto promotion into cdb but was unable to avoid relocation']
[ "they are not the property of richard bard hardcore to a split", "they are not the property of richard bard hardcore to a split", "they are not the property of richard bard harcourt esquith", "they are not the property of richard bard harcourt esquit", "they are not the property of richard bard harcourt esquith" ]
they are now the property of richard bard harcourt esquire
they are not the property of richard bard hardcore to a split.
they are not the property of richard bard hardcore to a split. they are not the property of richard bard harcourt esquith. they are not the property of richard bard harcourt esquit. they are not the property of richard bard harcourt esquith.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are not the property of richard bard hardcore to a split', 'they are not the property of richard bard hardcore to a split', 'they are not the property of richard bard harcourt esquith', 'they are not the property of richard bard harcourt esquit', 'they are not the property of richard bard harcourt esquith']
[ "he liked relatively joke about this relationship by referring to himself as a vgone", "he liked relatively joke about this relationship by referring to himself as a bg hun", "he liked relatively joke about this relationship by referring to himself as a bg hun", "he liked relatively joke about this relationship by referring to himself as a b g hun", "he liked relatively joke about this relationship by referring to himself as a b g hane" ]
he lightheartedly joked about this relationship by referring to himself as a weegie hun
he liked relatively joke about this relationship by referring to himself as a vgone.
he liked relatively joke about this relationship by referring to himself as a bg hun. he liked relatively joke about this relationship by referring to himself as a bg hun. he liked relatively joke about this relationship by referring to himself as a b g hun. he liked relatively joke about this relationship by referring to himself as a b g hane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he liked relatively joke about this relationship by referring to himself as a vgone', 'he liked relatively joke about this relationship by referring to himself as a bg hun', 'he liked relatively joke about this relationship by referring to himself as a bg hun', 'he liked relatively joke about this relationship by referring to himself as a b g hun', 'he liked relatively joke about this relationship by referring to himself as a b g hane']
[ "i want to see vanishing of the bees at a movie house", "i want to see vanishing of the beast at a movie house", "i want to see vanishing of the bees at a movie house", "i want to see vanishing of the bees at a movie house", "i want to see vanishing of the bees at a movie house" ]
i want to see vanishing of the bees at a movie house
i want to see vanishing of the bees at a movie house.
i want to see vanishing of the beast at a movie house. i want to see vanishing of the bees at a movie house. i want to see vanishing of the bees at a movie house. i want to see vanishing of the bees at a movie house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i want to see vanishing of the bees at a movie house', 'i want to see vanishing of the beast at a movie house', 'i want to see vanishing of the bees at a movie house', 'i want to see vanishing of the bees at a movie house', 'i want to see vanishing of the bees at a movie house']
[ "the commentator is in the eastern part of the town of stony point", "the common it is in the eastern part of the town of stony point", "the community is in the eastern part of the town of stony point", "the comment is in the eastern part of the town of stony point", "the commoner is in the eastern part of the town of stony point" ]
the community is in the eastern part of the town of stony point
the commentator is in the eastern part of the town of stony point.
the common it is in the eastern part of the town of stony point. the community is in the eastern part of the town of stony point. the comment is in the eastern part of the town of stony point. the commoner is in the eastern part of the town of stony point.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the commentator is in the eastern part of the town of stony point', 'the common it is in the eastern part of the town of stony point', 'the community is in the eastern part of the town of stony point', 'the comment is in the eastern part of the town of stony point', 'the commoner is in the eastern part of the town of stony point']
[ "it may include remote control locomotives in the middle of a train", "it may include remote control locomotives in the middle of the train", "it may include remote controlled locomotives in the middle of a train", "it may include remote controlled locomotives in the middle of a train", "it may include remote controlled locomotives in the middle of a train" ]
it may include remote control locomotives in the middle of a train
it may include remote control locomotives in the middle of a train.
it may include remote control locomotives in the middle of the train. it may include remote controlled locomotives in the middle of a train. it may include remote controlled locomotives in the middle of a train. it may include remote controlled locomotives in the middle of a train.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it may include remote control locomotives in the middle of a train', 'it may include remote control locomotives in the middle of the train', 'it may include remote controlled locomotives in the middle of a train', 'it may include remote controlled locomotives in the middle of a train', 'it may include remote controlled locomotives in the middle of a train']
[ "instead tribal hours tracks rely on sophisticated drum patterns for their rhythm", "instead tribal or strax rely on sophisticated drum patterns for their rhythm", "instead tribal hour strikes rely on sophisticated drum patterns for their rhythm", "instead tribal or strax rely on sophisticated drum patterns for their rhythm", "instead tribal or strax rely on sophisticated drum patterns for their rhythm" ]
instead tribal house tracks rely on sophisticated drum patterns for their rhythm
instead tribal hours tracks rely on sophisticated drum patterns for their rhythm.
instead tribal or strax rely on sophisticated drum patterns for their rhythm. instead tribal hour strikes rely on sophisticated drum patterns for their rhythm. instead tribal or strax rely on sophisticated drum patterns for their rhythm. instead tribal or strax rely on sophisticated drum patterns for their rhythm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead tribal hours tracks rely on sophisticated drum patterns for their rhythm', 'instead tribal or strax rely on sophisticated drum patterns for their rhythm', 'instead tribal hour strikes rely on sophisticated drum patterns for their rhythm', 'instead tribal or strax rely on sophisticated drum patterns for their rhythm', 'instead tribal or strax rely on sophisticated drum patterns for their rhythm']
[ "the production of chairs textiles and several equipment indicates cross smanship", "the production of chairs textiles and several equipment indicates cross smanship", "the production of chairs textiles and seven equipment indicates cross smanship", "the production of chairs textiles and seven equipment indicates cross smanship", "the production of chairs textiles and seven equipment indicates cross smanship" ]
the production of chairs textiles and saddle equipment indicates craftsmanship
the production of chairs textiles and several equipment indicates cross smanship.
the production of chairs textiles and several equipment indicates cross smanship. the production of chairs textiles and seven equipment indicates cross smanship. the production of chairs textiles and seven equipment indicates cross smanship. the production of chairs textiles and seven equipment indicates cross smanship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the production of chairs textiles and several equipment indicates cross smanship', 'the production of chairs textiles and several equipment indicates cross smanship', 'the production of chairs textiles and seven equipment indicates cross smanship', 'the production of chairs textiles and seven equipment indicates cross smanship', 'the production of chairs textiles and seven equipment indicates cross smanship']
[ "vehicular homicide in minnesota requires at a minimum immense rya of gross negligence", "vehicular homicides in minnesota requires at a minimum immense rya of gross negligence", "vehicle homicide in minnesota requires at a minimum immense rya of gross negligence", "vehicular homicide in minnesota requires at a minimum a mens ria of gross negligence", "vehicular homicides in minnesota requires at a minimum a mens ria of gross negligence" ]
vehicular homicide in minnesota requires at a minimum a mens rea of gross negligence
vehicular homicide in minnesota requires at a minimum immense rya of gross negligence.
vehicular homicides in minnesota requires at a minimum immense rya of gross negligence. vehicle homicide in minnesota requires at a minimum immense rya of gross negligence. vehicular homicide in minnesota requires at a minimum a mens ria of gross negligence. vehicular homicides in minnesota requires at a minimum a mens ria of gross negligence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['vehicular homicide in minnesota requires at a minimum immense rya of gross negligence', 'vehicular homicides in minnesota requires at a minimum immense rya of gross negligence', 'vehicle homicide in minnesota requires at a minimum immense rya of gross negligence', 'vehicular homicide in minnesota requires at a minimum a mens ria of gross negligence', 'vehicular homicides in minnesota requires at a minimum a mens ria of gross negligence']
[ "currently there is argue production run on the island", "currently there is argue production run on the island", "currently there is a argue production run on the island", "currently there is argue production run on the island", "currently there is aggie production run on the island" ]
currently there is algae production run on the island
currently there is argue production run on the island.
currently there is argue production run on the island. currently there is a argue production run on the island. currently there is argue production run on the island. currently there is aggie production run on the island.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['currently there is argue production run on the island', 'currently there is argue production run on the island', 'currently there is a argue production run on the island', 'currently there is argue production run on the island', 'currently there is aggie production run on the island']
[ "communication with the outer bird was not allowed then", "communication with the outer world was not allowed then", "communication with the outer bulb was not allowed then", "communication with the outer burden was not allowed then", "communication with the outer board was not allowed then" ]
communication with the outside world was not allowed then
communication with the outer bird was not allowed then.
communication with the outer world was not allowed then. communication with the outer bulb was not allowed then. communication with the outer burden was not allowed then. communication with the outer board was not allowed then.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['communication with the outer bird was not allowed then', 'communication with the outer world was not allowed then', 'communication with the outer bulb was not allowed then', 'communication with the outer burden was not allowed then', 'communication with the outer board was not allowed then']
[ "this is typically done through a syndicate of securities dealers", "this is typically done through a syndicate of securities deals", "this is typically done through a syndicate of security is dealers", "this is typically done through a syndicate of security dealers", "this is typically done through a syndicate of security is deals" ]
this is typically done through a syndicate of securities dealers
this is typically done through a syndicate of securities dealers.
this is typically done through a syndicate of securities deals. this is typically done through a syndicate of security is dealers. this is typically done through a syndicate of security dealers. this is typically done through a syndicate of security is deals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is typically done through a syndicate of securities dealers', 'this is typically done through a syndicate of securities deals', 'this is typically done through a syndicate of security is dealers', 'this is typically done through a syndicate of security dealers', 'this is typically done through a syndicate of security is deals']
[ "spanish american and european history are housed in seville", "spanish american and european history are housed in seville", "spanish american and european history are housed in seville", "spanish american and european history are housed in seville", "spanish american and european history are housed in seville" ]
spanish american and european history are housed in seville
spanish american and european history are housed in seville.
spanish american and european history are housed in seville. spanish american and european history are housed in seville. spanish american and european history are housed in seville. spanish american and european history are housed in seville.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['spanish american and european history are housed in seville', 'spanish american and european history are housed in seville', 'spanish american and european history are housed in seville', 'spanish american and european history are housed in seville', 'spanish american and european history are housed in seville']
[ "she was raised in stretton and was educated at the lady edwards grammar school", "she was raised in stretton and was educated at the lady edrig grammar school", "she was raised in stretton and was educated at the lady edridge grammar school", "she was raised in stretton and was educated at the lady edriged grammar school", "she was raised in stretton and was educated at the lady edrich grammar school" ]
she was raised in streatham and was educated at the lady edridge grammar school
she was raised in stretton and was educated at the lady edwards grammar school.
she was raised in stretton and was educated at the lady edrig grammar school. she was raised in stretton and was educated at the lady edridge grammar school. she was raised in stretton and was educated at the lady edriged grammar school. she was raised in stretton and was educated at the lady edrich grammar school.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was raised in stretton and was educated at the lady edwards grammar school', 'she was raised in stretton and was educated at the lady edrig grammar school', 'she was raised in stretton and was educated at the lady edridge grammar school', 'she was raised in stretton and was educated at the lady edriged grammar school', 'she was raised in stretton and was educated at the lady edrich grammar school']
[ "a pioneer of brain surgery he was the first person to describe cushing is disease", "a pioneer of brain surgery he was the first person to describe cushing is disease", "a pioneer of brain surgery he was the first person to describe cushing is disease", "a pioneer of brain surgery he was the first person to describe cushing is disease", "a pioneer of brain surgery he wants the first person to describe cushing is disease" ]
a pioneer of brain surgery he was the first person to describe cushing is disease
a pioneer of brain surgery he was the first person to describe cushing is disease.
a pioneer of brain surgery he was the first person to describe cushing is disease. a pioneer of brain surgery he was the first person to describe cushing is disease. a pioneer of brain surgery he was the first person to describe cushing is disease. a pioneer of brain surgery he wants the first person to describe cushing is disease.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a pioneer of brain surgery he was the first person to describe cushing is disease', 'a pioneer of brain surgery he was the first person to describe cushing is disease', 'a pioneer of brain surgery he was the first person to describe cushing is disease', 'a pioneer of brain surgery he was the first person to describe cushing is disease', 'a pioneer of brain surgery he wants the first person to describe cushing is disease']
[ "the name came from a conversation with a shop owner", "the name came from a conversation with the shop owner", "the name came from a conversation with a shop owner", "the name came from a conversation with the shop owner", "the name came from a conversation with the shop owner" ]
the name came from a conversation with a shop owner
the name came from a conversation with a shop owner.
the name came from a conversation with the shop owner. the name came from a conversation with a shop owner. the name came from a conversation with the shop owner. the name came from a conversation with the shop owner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name came from a conversation with a shop owner', 'the name came from a conversation with the shop owner', 'the name came from a conversation with a shop owner', 'the name came from a conversation with the shop owner', 'the name came from a conversation with the shop owner']
[ "as origin can be traced back to the times of the polish lithuanian commonwealth", "its origin can be traced back to the times of the polish lithuanian commonwealth", "it is origin can be traced back to the times of the polish lithuanian commonwealth", "and the origin can be traced back to the times of the polish lithuanian commonwealth", "as the origin can be traced back to the times of the polish lithuanian commonwealth" ]
its origin can be traced back to the times of the polish lithuanian commonwealth
as origin can be traced back to the times of the polish lithuanian commonwealth.
its origin can be traced back to the times of the polish lithuanian commonwealth. it is origin can be traced back to the times of the polish lithuanian commonwealth. and the origin can be traced back to the times of the polish lithuanian commonwealth. as the origin can be traced back to the times of the polish lithuanian commonwealth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as origin can be traced back to the times of the polish lithuanian commonwealth', 'its origin can be traced back to the times of the polish lithuanian commonwealth', 'it is origin can be traced back to the times of the polish lithuanian commonwealth', 'and the origin can be traced back to the times of the polish lithuanian commonwealth', 'as the origin can be traced back to the times of the polish lithuanian commonwealth']
[ "she stopped singing and started to listen", "she stopped singing and started to listen", "she stopped singing and started to listen", "she stopped singing and started to listen", "she stopped singing and started to listen" ]
she stopped singing and started to listen
she stopped singing and started to listen.
she stopped singing and started to listen. she stopped singing and started to listen. she stopped singing and started to listen. she stopped singing and started to listen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she stopped singing and started to listen', 'she stopped singing and started to listen', 'she stopped singing and started to listen', 'she stopped singing and started to listen', 'she stopped singing and started to listen']
[ "the simplest method for processing sheet fill is using crease", "the simplest method for processing sheet fill is using cres", "the simplest method for processing sheet film is using crease", "the simplest method for processing sheet film is using cres", "the simplest method for processing sheet fill is using cress" ]
the simplest method for processing sheet film is using trays
the simplest method for processing sheet fill is using crease.
the simplest method for processing sheet fill is using cres. the simplest method for processing sheet film is using crease. the simplest method for processing sheet film is using cres. the simplest method for processing sheet fill is using cress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the simplest method for processing sheet fill is using crease', 'the simplest method for processing sheet fill is using cres', 'the simplest method for processing sheet film is using crease', 'the simplest method for processing sheet film is using cres', 'the simplest method for processing sheet fill is using cress']
[ "but a consign sprick third", "but a consign sprick third", "but a consign speak third", "but i consigned sprick third", "but a consigned sprick third" ]
but her conscience pricked her
but a consign sprick third.
but a consign sprick third. but a consign speak third. but i consigned sprick third. but a consigned sprick third.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but a consign sprick third', 'but a consign sprick third', 'but a consign speak third', 'but i consigned sprick third', 'but a consigned sprick third']
[ "fukuoka was home to cameo corporation the designers of the boyfriends arm pillow", "fukuoka was home to cameo corporation the designers of the boyfriends arm pillow", "fukuoka was home to cameo corporation the designers of the boyfriends arm pillow", "fukuoka was home to cameo corporation the designers of the boyfriends arm pillow", "fukuoka was home to cameo corporation the designers of the boyfriend is arm pillow" ]
fukuoka was home to kameo corporation the designers of the boyfriend is arm pillow
fukuoka was home to cameo corporation the designers of the boyfriends arm pillow.
fukuoka was home to cameo corporation the designers of the boyfriends arm pillow. fukuoka was home to cameo corporation the designers of the boyfriends arm pillow. fukuoka was home to cameo corporation the designers of the boyfriends arm pillow. fukuoka was home to cameo corporation the designers of the boyfriend is arm pillow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fukuoka was home to cameo corporation the designers of the boyfriends arm pillow', 'fukuoka was home to cameo corporation the designers of the boyfriends arm pillow', 'fukuoka was home to cameo corporation the designers of the boyfriends arm pillow', 'fukuoka was home to cameo corporation the designers of the boyfriends arm pillow', 'fukuoka was home to cameo corporation the designers of the boyfriend is arm pillow']
[ "this phenomenon at large is called iotacism", "this phenomenon at large is called iotasism", "this phenomenon at large is called io tacism", "this phenomenon at large is called iotacism", "this phenomenon at large is called iotacism" ]
this phenomenon at large is called iotacism
this phenomenon at large is called iotacism.
this phenomenon at large is called iotasism. this phenomenon at large is called io tacism. this phenomenon at large is called iotacism. this phenomenon at large is called iotacism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this phenomenon at large is called iotacism', 'this phenomenon at large is called iotasism', 'this phenomenon at large is called io tacism', 'this phenomenon at large is called iotacism', 'this phenomenon at large is called iotacism']
[ "he made his first shot comic stories for the publisher record", "he made his first short comic stories for the publisher record", "he made his first shot comic stories for the publisher record", "he made his first shot comic stories for the publisher record", "he made his first shot comic stories for the publisher record" ]
he made his first short comic stories for the publisher record
he made his first shot comic stories for the publisher record.
he made his first short comic stories for the publisher record. he made his first shot comic stories for the publisher record. he made his first shot comic stories for the publisher record. he made his first shot comic stories for the publisher record.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he made his first shot comic stories for the publisher record', 'he made his first short comic stories for the publisher record', 'he made his first shot comic stories for the publisher record', 'he made his first shot comic stories for the publisher record', 'he made his first shot comic stories for the publisher record']
[ "it was hastily showed into a clothes closet joined the meeting room", "it was hastily showed into a clothes closet joined the meeting room", "it was hastily showed into a clip is closet joined the meeting room", "it was hastily showed into a clothes closet join the meeting room", "it was hastily showed into a closed closet joined the meeting room" ]
he was hastily shoved into a clothes closet adjoining the meeting room
it was hastily showed into a clothes closet joined the meeting room.
it was hastily showed into a clothes closet joined the meeting room. it was hastily showed into a clip is closet joined the meeting room. it was hastily showed into a clothes closet join the meeting room. it was hastily showed into a closed closet joined the meeting room.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was hastily showed into a clothes closet joined the meeting room', 'it was hastily showed into a clothes closet joined the meeting room', 'it was hastily showed into a clip is closet joined the meeting room', 'it was hastily showed into a clothes closet join the meeting room', 'it was hastily showed into a closed closet joined the meeting room']
[ "i was born the daughter of german immigrants in afrata pennsylvania", "i was born the daughter of german immigrants in afratta pennsylvania", "i was born the daughter of german immigrants in euphrata pennsylvania", "i was born the daughter of german immigrants in afrata pennsylvania", "i was born the daughter of german immigrants in afratta pennsylvania" ]
ay was born the daughter of german immigrants in ephrata pennsylvania
i was born the daughter of german immigrants in afrata pennsylvania.
i was born the daughter of german immigrants in afratta pennsylvania. i was born the daughter of german immigrants in euphrata pennsylvania. i was born the daughter of german immigrants in afrata pennsylvania. i was born the daughter of german immigrants in afratta pennsylvania.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i was born the daughter of german immigrants in afrata pennsylvania', 'i was born the daughter of german immigrants in afratta pennsylvania', 'i was born the daughter of german immigrants in euphrata pennsylvania', 'i was born the daughter of german immigrants in afrata pennsylvania', 'i was born the daughter of german immigrants in afratta pennsylvania']
[ "blossomites can interact with each other seemingly by reflecting off one another", "plus mines can interact with each other seemingly by reflecting off one another", "plus minds can interact with each other seemingly by reflecting off one another", "last mites can interact with each other seemingly by reflecting off one another", "glass mites can interact with each other seemingly by reflecting off one another" ]
plasmoids can interact with each other seemingly by reflecting off one another
blossomites can interact with each other seemingly by reflecting off one another.
plus mines can interact with each other seemingly by reflecting off one another. plus minds can interact with each other seemingly by reflecting off one another. last mites can interact with each other seemingly by reflecting off one another. glass mites can interact with each other seemingly by reflecting off one another.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['blossomites can interact with each other seemingly by reflecting off one another', 'plus mines can interact with each other seemingly by reflecting off one another', 'plus minds can interact with each other seemingly by reflecting off one another', 'last mites can interact with each other seemingly by reflecting off one another', 'glass mites can interact with each other seemingly by reflecting off one another']
[ "it also has its own railway station as well as an araiva bus garage", "it also has its own railway station as well as an araiva bus garage", "it also has its own railway station as well as an arriva bus garage", "it also has its own railway station as well as an arriva bus garage", "it also has its own railway station as well as an araiba bus garage" ]
it also has its own railway station as well as an arriva bus garage
it also has its own railway station as well as an araiva bus garage.
it also has its own railway station as well as an araiva bus garage. it also has its own railway station as well as an arriva bus garage. it also has its own railway station as well as an arriva bus garage. it also has its own railway station as well as an araiba bus garage.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also has its own railway station as well as an araiva bus garage', 'it also has its own railway station as well as an araiva bus garage', 'it also has its own railway station as well as an arriva bus garage', 'it also has its own railway station as well as an arriva bus garage', 'it also has its own railway station as well as an araiba bus garage']
[ "the symbol of the currency was the abbreviation k sometimes kr", "the symbol of the currency was the abbreviation of k sometimes kr", "the symbol of the currency was the abbreviation k sometimes k r", "the symbol of the currency was the abbreviation k sometimes k r", "the symbol of the currency was the abbreviation of k sometimes k r" ]
the symbol of the currency was the abbreviation k or sometimes kr
the symbol of the currency was the abbreviation k sometimes kr.
the symbol of the currency was the abbreviation of k sometimes kr. the symbol of the currency was the abbreviation k sometimes k r. the symbol of the currency was the abbreviation k sometimes k r. the symbol of the currency was the abbreviation of k sometimes k r.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the symbol of the currency was the abbreviation k sometimes kr', 'the symbol of the currency was the abbreviation of k sometimes kr', 'the symbol of the currency was the abbreviation k sometimes k r', 'the symbol of the currency was the abbreviation k sometimes k r', 'the symbol of the currency was the abbreviation of k sometimes k r']
[ "from there it is spread to constantinople and then throughout the byzantine world", "from there it spread to constantinople and then throughout the byzantine world", "from there it is spread to constantinople and then throughout the byzantine world", "from there it spread to constantinople and then throughout the byzantine world", "from there it spread to constantinople and then throughout the byzantine world" ]
from there it spread to constantinople and thence throughout the byzantine world
from there it is spread to constantinople and then throughout the byzantine world.
from there it spread to constantinople and then throughout the byzantine world. from there it is spread to constantinople and then throughout the byzantine world. from there it spread to constantinople and then throughout the byzantine world. from there it spread to constantinople and then throughout the byzantine world.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from there it is spread to constantinople and then throughout the byzantine world', 'from there it spread to constantinople and then throughout the byzantine world', 'from there it is spread to constantinople and then throughout the byzantine world', 'from there it spread to constantinople and then throughout the byzantine world', 'from there it spread to constantinople and then throughout the byzantine world']
[ "there are two children penelope penny and michael", "there are two children penelope penny and michael", "there are two children penelope penny and michael", "there are two children penelope penny and michael", "there are two children penelope penny and michael" ]
they had two children penelope penny and michael
there are two children penelope penny and michael.
there are two children penelope penny and michael. there are two children penelope penny and michael. there are two children penelope penny and michael. there are two children penelope penny and michael.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are two children penelope penny and michael', 'there are two children penelope penny and michael', 'there are two children penelope penny and michael', 'there are two children penelope penny and michael', 'there are two children penelope penny and michael']
[ "the namaraka net", "the namaraka nat", "the namaraka nut", "the namarokah nat", "the namarokah net" ]
the namoroka nat
the namaraka net.
the namaraka nat. the namaraka nut. the namarokah nat. the namarokah net.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the namaraka net', 'the namaraka nat', 'the namaraka nut', 'the namarokah nat', 'the namarokah net']
[ "you may imagine what i felt and how i acted", "you may imagine what i felt and how i acted", "you may imagine what i felt and how i acted", "you may imagine what i felt and how i acted", "you may imagine what i felt and how i acted" ]
you may imagine what i felt and how i acted
you may imagine what i felt and how i acted.
you may imagine what i felt and how i acted. you may imagine what i felt and how i acted. you may imagine what i felt and how i acted. you may imagine what i felt and how i acted.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you may imagine what i felt and how i acted', 'you may imagine what i felt and how i acted', 'you may imagine what i felt and how i acted', 'you may imagine what i felt and how i acted', 'you may imagine what i felt and how i acted']
[ "many aqueducts in rome is former empire were kept in good repair", "many aqueducts in rome is former empire will kept in good repair", "many aqueducts in roam is former empire were kept in good repair", "many aqueducts in roam is former empire will kept in good repair", "many aqueducts in rooms former empire were kept in good repair" ]
many aqueducts in rome is former empire were kept in good repair
many aqueducts in rome is former empire were kept in good repair.
many aqueducts in rome is former empire will kept in good repair. many aqueducts in roam is former empire were kept in good repair. many aqueducts in roam is former empire will kept in good repair. many aqueducts in rooms former empire were kept in good repair.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many aqueducts in rome is former empire were kept in good repair', 'many aqueducts in rome is former empire will kept in good repair', 'many aqueducts in roam is former empire were kept in good repair', 'many aqueducts in roam is former empire will kept in good repair', 'many aqueducts in rooms former empire were kept in good repair']
[ "chimney is were a larger version of the copper cap type of the first batch", "chimneys were a larger version of the copper cap type of the first batch", "chimneys were a larger version of the copper cap type of the first batch", "chimneys were a larger version of the copper cap type of the first batch", "the chimneys were a larger version of the copper cap type of the first batch" ]
chimneys were a larger version of the copper capped type of the first batch
chimney is were a larger version of the copper cap type of the first batch.
chimneys were a larger version of the copper cap type of the first batch. chimneys were a larger version of the copper cap type of the first batch. chimneys were a larger version of the copper cap type of the first batch. the chimneys were a larger version of the copper cap type of the first batch.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chimney is were a larger version of the copper cap type of the first batch', 'chimneys were a larger version of the copper cap type of the first batch', 'chimneys were a larger version of the copper cap type of the first batch', 'chimneys were a larger version of the copper cap type of the first batch', 'the chimneys were a larger version of the copper cap type of the first batch']
[ "each matrix represents projection onto a one dimensional complex subspace of the journey is vectors", "each matrix represents projection onto a one dimensional complex subspace of the jones vectors", "each matrix represents projection onto a one dimensional complex subspace of the journey is vectors", "each matrix represents projection onto a one dimensional complex subspace of the jones vectors", "each matrix represents projection onto a one dimensional complex subspace of the jones vectors" ]
each matrix represents projection onto a one dimensional complex subspace of the jones vectors
each matrix represents projection onto a one dimensional complex subspace of the journey is vectors.
each matrix represents projection onto a one dimensional complex subspace of the jones vectors. each matrix represents projection onto a one dimensional complex subspace of the journey is vectors. each matrix represents projection onto a one dimensional complex subspace of the jones vectors. each matrix represents projection onto a one dimensional complex subspace of the jones vectors.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each matrix represents projection onto a one dimensional complex subspace of the journey is vectors', 'each matrix represents projection onto a one dimensional complex subspace of the jones vectors', 'each matrix represents projection onto a one dimensional complex subspace of the journey is vectors', 'each matrix represents projection onto a one dimensional complex subspace of the jones vectors', 'each matrix represents projection onto a one dimensional complex subspace of the jones vectors']