hypothesis
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hypothesis_concatenated
stringlengths
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[ "the engines are similar within the series", "the engines are similar within the series", "the engines are similar within this series", "the engines are similar within the series", "the engines are similar within the series" ]
the engines are similar within the series
the engines are similar within the series.
the engines are similar within the series. the engines are similar within this series. the engines are similar within the series. the engines are similar within the series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the engines are similar within the series', 'the engines are similar within the series', 'the engines are similar within this series', 'the engines are similar within the series', 'the engines are similar within the series']
[ "boyton is a member of the international swimming hall of fame", "boiton is a member of the international swimming hall of fame", "boyton is a member of the international swimming hall of fame", "boiton is a member of the international swimming hall of fame", "boiton is a member of the international swimmin...
boyton is a member of the international swimming hall of fame
boyton is a member of the international swimming hall of fame.
boiton is a member of the international swimming hall of fame. boyton is a member of the international swimming hall of fame. boiton is a member of the international swimming hall of fame. boiton is a member of the international swimming hall of fame.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['boyton is a member of the international swimming hall of fame', 'boiton is a member of the international swimming hall of fame', 'boyton is a member of the international swimming hall of fame', 'boiton is a member of the international swimming hall of fame', 'boiton is a member of the international swimming hall of fame']
[ "the origin of the outlaw label is debated", "the origin of the outlaw label is debated", "the origin of the outlaw level is debated", "the origin of the outlaw label is debated", "the origin of the outlaw label is debated" ]
the origin of the outlaw label is debated
the origin of the outlaw label is debated.
the origin of the outlaw label is debated. the origin of the outlaw level is debated. the origin of the outlaw label is debated. the origin of the outlaw label is debated.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the origin of the outlaw label is debated', 'the origin of the outlaw label is debated', 'the origin of the outlaw level is debated', 'the origin of the outlaw label is debated', 'the origin of the outlaw label is debated']
[ "he invented the term potomitia to describe this phenomenon", "he invented the term for tommitia to describe this phenomenon", "he invented the terms of tommitia to describe this phenomenon", "he invented the term for timidia to describe this phenomenon", "he invented the term for tamiya to describe this ph...
he invented the term cryptomnesia to describe this phenomenon
he invented the term potomitia to describe this phenomenon.
he invented the term for tommitia to describe this phenomenon. he invented the terms of tommitia to describe this phenomenon. he invented the term for timidia to describe this phenomenon. he invented the term for tamiya to describe this phenomenon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he invented the term potomitia to describe this phenomenon', 'he invented the term for tommitia to describe this phenomenon', 'he invented the terms of tommitia to describe this phenomenon', 'he invented the term for timidia to describe this phenomenon', 'he invented the term for tamiya to describe this phenomenon']
[ "the water storage scheme is at present in limbo", "the water storage scheme is at present in limbo", "the voltage storage scheme is at present in limbo", "the voltage storage scheme is at present in limbo", "the world is storage scheme is at present in limbo" ]
the water storage scheme is at present in limbo
the water storage scheme is at present in limbo.
the water storage scheme is at present in limbo. the voltage storage scheme is at present in limbo. the voltage storage scheme is at present in limbo. the world is storage scheme is at present in limbo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the water storage scheme is at present in limbo', 'the water storage scheme is at present in limbo', 'the voltage storage scheme is at present in limbo', 'the voltage storage scheme is at present in limbo', 'the world is storage scheme is at present in limbo']
[ "frank is death was also attributed to a heart attack", "frank is death was also attributed to a heart attack", "frang is death was also attributed to a heart attack", "frang is death was also attributed to a heart attack", "frank is death was also attributed to a heart attack" ]
frank is death was also attributed to a heart attack
frank is death was also attributed to a heart attack.
frank is death was also attributed to a heart attack. frang is death was also attributed to a heart attack. frang is death was also attributed to a heart attack. frank is death was also attributed to a heart attack.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['frank is death was also attributed to a heart attack', 'frank is death was also attributed to a heart attack', 'frang is death was also attributed to a heart attack', 'frang is death was also attributed to a heart attack', 'frank is death was also attributed to a heart attack']
[ "the disorder typically progresses to asthma than nasal polyposis with aspirin sensitivity coming last", "the disorder typically progresses to asthma their nasal polyposis with aspirin sensitivity coming last", "the disorder typically progresses to asthma and their nasal polyposis with aspirin sensitivity comin...
the disorder typically progresses to asthma then nasal polyposis with aspirin sensitivity coming last
the disorder typically progresses to asthma than nasal polyposis with aspirin sensitivity coming last.
the disorder typically progresses to asthma their nasal polyposis with aspirin sensitivity coming last. the disorder typically progresses to asthma and their nasal polyposis with aspirin sensitivity coming last. the disorder typically progresses to asthma than nasal polyposis with aspirin sensitivity coming last. to disorder typically progresses to asthma their nasal polyposis with aspirin sensitivity coming last.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the disorder typically progresses to asthma than nasal polyposis with aspirin sensitivity coming last', 'the disorder typically progresses to asthma their nasal polyposis with aspirin sensitivity coming last', 'the disorder typically progresses to asthma and their nasal polyposis with aspirin sensitivity coming last', 'the disorder typically progresses to asthma than nasal polyposis with aspirin sensitivity coming last', 'to disorder typically progresses to asthma their nasal polyposis with aspirin sensitivity coming last']
[ "in response the british government refused to acknowledge the legitimacy of the paste office", "in response the british government refused to acknowledge the legitimacy of the post office", "in response the british government refused to acknowledge the legacy of the paste office", "in response the british go...
in response the british government refused to acknowledge the legitimacy of the post office
in response the british government refused to acknowledge the legitimacy of the paste office.
in response the british government refused to acknowledge the legitimacy of the post office. in response the british government refused to acknowledge the legacy of the paste office. in response the british government refused to acknowledge the legacy of the post office. in response the british government refused to acknowledge the legacy of the post office.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in response the british government refused to acknowledge the legitimacy of the paste office', 'in response the british government refused to acknowledge the legitimacy of the post office', 'in response the british government refused to acknowledge the legacy of the paste office', 'in response the british government refused to acknowledge the legacy of the post office', 'in response the british government refused to acknowledge the legacy of the post office']
[ "he continued to build media platforms", "he continued to build middle classrooms", "he continued to build media classrooms", "he continued to build middle class zones", "we continue to build media platforms" ]
he continued to build middle class homes
he continued to build media platforms.
he continued to build middle classrooms. he continued to build media classrooms. he continued to build middle class zones. we continue to build media platforms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he continued to build media platforms', 'he continued to build middle classrooms', 'he continued to build media classrooms', 'he continued to build middle class zones', 'we continue to build media platforms']
[ "the last twenty-five years have seen significant changes in airline regulation", "the last twenty five years have seen significant changes in airline regulation", "the last twenty five years have seen significant changes in airline regulation", "the last twenty-five years have seen significant changes in air...
the last twenty five years have seen significant changes in airline regulation
the last twenty-five years have seen significant changes in airline regulation.
the last twenty five years have seen significant changes in airline regulation. the last twenty five years have seen significant changes in airline regulation. the last twenty-five years have seen significant changes in airline regulation. the last twenty five years have seen significant changes in airline regulation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the last twenty-five years have seen significant changes in airline regulation', 'the last twenty five years have seen significant changes in airline regulation', 'the last twenty five years have seen significant changes in airline regulation', 'the last twenty-five years have seen significant changes in airline regulation', 'the last twenty five years have seen significant changes in airline regulation']
[ "since the entire application heap was dissolved when the application quit fragmentation was minimized", "since the entire application heat was dissolved when the application quit fragmentation was minimized", "since the entire application heap was disolved when the application quit fragmentation was minimized"...
since the entire application heap was dissolved when the application quit fragmentation was minimized
since the entire application heap was dissolved when the application quit fragmentation was minimized.
since the entire application heat was dissolved when the application quit fragmentation was minimized. since the entire application heap was disolved when the application quit fragmentation was minimized. since the entire application heap was disabled when the application quit fragmentation was minimized. since the entire application heap was dissolved when the application quit fragmentation was minimized.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since the entire application heap was dissolved when the application quit fragmentation was minimized', 'since the entire application heat was dissolved when the application quit fragmentation was minimized', 'since the entire application heap was disolved when the application quit fragmentation was minimized', 'since the entire application heap was disabled when the application quit fragmentation was minimized', 'since the entire application heap was dissolved when the application quit fragmentation was minimized']
[ "team ninja also worked on multiple titles for nintendo", "the ninja also worked on multiple titles for nintendo", "the ninja also worked on multiple titles for nintendo", "pean ninja also worked on multiple titles for nintendo", "team ninja also worked on multiple titles for nintendo" ]
team ninja also worked on multiple titles for nintendo
team ninja also worked on multiple titles for nintendo.
the ninja also worked on multiple titles for nintendo. the ninja also worked on multiple titles for nintendo. pean ninja also worked on multiple titles for nintendo. team ninja also worked on multiple titles for nintendo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['team ninja also worked on multiple titles for nintendo', 'the ninja also worked on multiple titles for nintendo', 'the ninja also worked on multiple titles for nintendo', 'pean ninja also worked on multiple titles for nintendo', 'team ninja also worked on multiple titles for nintendo']
[ "librarians should be aware of these issues so that planning for improvement can be gained", "librarians should be aware of this issue so that planning for improvement can be gained", "librarians should be aware of these issues so that planning for improvement can be", "librarians should be aware of these iss...
librarians should be aware of these issues so that planning for improvement can begin
librarians should be aware of these issues so that planning for improvement can be gained.
librarians should be aware of this issue so that planning for improvement can be gained. librarians should be aware of these issues so that planning for improvement can be. librarians should be aware of these issues so that planning for improvement can be gained. librarian should be aware of this issue so that planning for improvement can be gained.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['librarians should be aware of these issues so that planning for improvement can be gained', 'librarians should be aware of this issue so that planning for improvement can be gained', 'librarians should be aware of these issues so that planning for improvement can be', 'librarians should be aware of these issues so that planning for improvement can be gained', 'librarian should be aware of this issue so that planning for improvement can be gained']
[ "i truly believe that this is a goal we can achieve together", "i truly believe that this is a goal we can achieve together", "i truly believe that this is a goal we can achieve together", "i truly believe that this is a goal we can achieve together", "i truly believe that this is a goal we can achieve toge...
i truly believe that this is a goal we can achieve together
i truly believe that this is a goal we can achieve together.
i truly believe that this is a goal we can achieve together. i truly believe that this is a goal we can achieve together. i truly believe that this is a goal we can achieve together. i truly believe that this is a goal we can achieve together.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i truly believe that this is a goal we can achieve together', 'i truly believe that this is a goal we can achieve together', 'i truly believe that this is a goal we can achieve together', 'i truly believe that this is a goal we can achieve together', 'i truly believe that this is a goal we can achieve together']
[ "ships would sell from calabria to the holy land", "ships would sail from calabria to the holy land", "ships would sell from calabria to the holy land", "ships were to sell from calabria to the holy land", "ships were to sail from calabria to the holy land" ]
ships would sail from calabria to the holy land
ships would sell from calabria to the holy land.
ships would sail from calabria to the holy land. ships would sell from calabria to the holy land. ships were to sell from calabria to the holy land. ships were to sail from calabria to the holy land.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ships would sell from calabria to the holy land', 'ships would sail from calabria to the holy land', 'ships would sell from calabria to the holy land', 'ships were to sell from calabria to the holy land', 'ships were to sail from calabria to the holy land']
[ "such legislation is clearly within the police power of the site", "social legislation is clearly within the police power of the site", "such legislation is clearly within the police power of the site", "is clearly within the police power of the site", "social legislation is clearly within the police power ...
such legislation is clearly within the police power of the state
such legislation is clearly within the police power of the site.
social legislation is clearly within the police power of the site. such legislation is clearly within the police power of the site. is clearly within the police power of the site. social legislation is clearly within the police power of the site.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['such legislation is clearly within the police power of the site', 'social legislation is clearly within the police power of the site', 'such legislation is clearly within the police power of the site', 'is clearly within the police power of the site', 'social legislation is clearly within the police power of the site']
[ "in the first series lynn howard is seduced by the ruthless charles freire", "in the first series lynn howard is seduced by the ruthless charles freyr", "in the first series lin howard is seduced by the ruthless charles freire", "in the first series lynn howard is seduced by the ruthless charles freyre", "i...
in the first series lynne howard is seduced by the ruthless charles frere
in the first series lynn howard is seduced by the ruthless charles freire.
in the first series lynn howard is seduced by the ruthless charles freyr. in the first series lin howard is seduced by the ruthless charles freire. in the first series lynn howard is seduced by the ruthless charles freyre. in the first series lynn howard is seduced by the ruthless charles freire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the first series lynn howard is seduced by the ruthless charles freire', 'in the first series lynn howard is seduced by the ruthless charles freyr', 'in the first series lin howard is seduced by the ruthless charles freire', 'in the first series lynn howard is seduced by the ruthless charles freyre', 'in the first series lynn howard is seduced by the ruthless charles freire']
[ "second reduction is provided by rental high school which is the local comprehensive", "second red evasion is provided by rental high school which is the local comprehensive", "second division is provided by rental high school which is the local comprehensive", "second education is provided by rental high sch...
secondary education is provided by rainhill high school which is the local comprehensive
second reduction is provided by rental high school which is the local comprehensive.
second red evasion is provided by rental high school which is the local comprehensive. second division is provided by rental high school which is the local comprehensive. second education is provided by rental high school which is the local comprehensive. second reduction is provided by rental high school which is the local comprehensive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['second reduction is provided by rental high school which is the local comprehensive', 'second red evasion is provided by rental high school which is the local comprehensive', 'second division is provided by rental high school which is the local comprehensive', 'second education is provided by rental high school which is the local comprehensive', 'second reduction is provided by rental high school which is the local comprehensive']
[ "he became governor after the death of governor winfield scott hammond", "he became governor after the death of governor winfield scott hammond", "he became governor after the death of governor winsfield scott hammond", "he became a governor after the death of governor winfield scott hammond", "he became a ...
he became governor after the death of governor winfield scott hammond
he became governor after the death of governor winfield scott hammond.
he became governor after the death of governor winfield scott hammond. he became governor after the death of governor winsfield scott hammond. he became a governor after the death of governor winfield scott hammond. he became a governor after the death of governor winfield scott hammond.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he became governor after the death of governor winfield scott hammond', 'he became governor after the death of governor winfield scott hammond', 'he became governor after the death of governor winsfield scott hammond', 'he became a governor after the death of governor winfield scott hammond', 'he became a governor after the death of governor winfield scott hammond']
[ "we even lit up some cars with candle lights", "we even lit up some cause with candle lights", "we even lit up some calls with candle lights", "we even lit up some cars with candlelights", "we even lit up some cause with candlelights" ]
we even lit up some cars with candle lights
we even lit up some cars with candle lights.
we even lit up some cause with candle lights. we even lit up some calls with candle lights. we even lit up some cars with candlelights. we even lit up some cause with candlelights.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we even lit up some cars with candle lights', 'we even lit up some cause with candle lights', 'we even lit up some calls with candle lights', 'we even lit up some cars with candlelights', 'we even lit up some cause with candlelights']
[ "lyrics by david bowie music by bowie and erdol kizokhe", "lyrics by david bowie music by bowie and erdau kizokhe", "lyrics by david bowie music by bowie and erdol kizokhe", "lyrics by david bowie music by bowie and erdol kizokhe", "lyrics by david bowie music by bowie and urdhal kizokhe" ]
lyrics by david bowie music by bowie and erdal kizilcay
lyrics by david bowie music by bowie and erdol kizokhe.
lyrics by david bowie music by bowie and erdau kizokhe. lyrics by david bowie music by bowie and erdol kizokhe. lyrics by david bowie music by bowie and erdol kizokhe. lyrics by david bowie music by bowie and urdhal kizokhe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lyrics by david bowie music by bowie and erdol kizokhe', 'lyrics by david bowie music by bowie and erdau kizokhe', 'lyrics by david bowie music by bowie and erdol kizokhe', 'lyrics by david bowie music by bowie and erdol kizokhe', 'lyrics by david bowie music by bowie and urdhal kizokhe']
[ "bill rather than continuing a life in music", "bill rather than continuing a life in music", "bill we are rather than continuing our life in music", "bill we are rather than continuing our life in music", "bill we are rather than continuing a life in music" ]
bill rather than continuing a life in music
bill rather than continuing a life in music.
bill rather than continuing a life in music. bill we are rather than continuing our life in music. bill we are rather than continuing our life in music. bill we are rather than continuing a life in music.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bill rather than continuing a life in music', 'bill rather than continuing a life in music', 'bill we are rather than continuing our life in music', 'bill we are rather than continuing our life in music', 'bill we are rather than continuing a life in music']
[ "i am walking on to bring my arms", "i am walking on strengthening my arms", "i am walking on to bring my arms", "i am walking on strengthening my arms", "i am walking on transferring my arms" ]
i am working on strengthening my arms
i am walking on to bring my arms.
i am walking on strengthening my arms. i am walking on to bring my arms. i am walking on strengthening my arms. i am walking on transferring my arms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am walking on to bring my arms', 'i am walking on strengthening my arms', 'i am walking on to bring my arms', 'i am walking on strengthening my arms', 'i am walking on transferring my arms']
[ "this was characteristic of smith is never look back approach", "this was characteristic of smith is never look back approach", "this was characteristic of smith is never look back approach", "this was characteristic of smith is never look back approach", "this was characteristic of smith is never looked ba...
this was characteristic of smith is never look back approach
this was characteristic of smith is never look back approach.
this was characteristic of smith is never look back approach. this was characteristic of smith is never look back approach. this was characteristic of smith is never look back approach. this was characteristic of smith is never looked back approach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was characteristic of smith is never look back approach', 'this was characteristic of smith is never look back approach', 'this was characteristic of smith is never look back approach', 'this was characteristic of smith is never look back approach', 'this was characteristic of smith is never looked back approach']
[ "there are only three rounds in the usual rules", "there are only three rounds in the usual rules", "they are only three rounds in the usual rules", "there are only three rounds in the usual rules", "there are only three rounds in the usual rules" ]
there are only three rounds in the usual rules
there are only three rounds in the usual rules.
there are only three rounds in the usual rules. they are only three rounds in the usual rules. there are only three rounds in the usual rules. there are only three rounds in the usual rules.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are only three rounds in the usual rules', 'there are only three rounds in the usual rules', 'they are only three rounds in the usual rules', 'there are only three rounds in the usual rules', 'there are only three rounds in the usual rules']
[ "this was not done once or twice but scores of times", "this was knocked down once or twice but scores of times", "this was not done once or twice but scores of times", "this was knocked down once or twice but scores of times", "this was knocked down once or twice but scores of times" ]
this was not done once or twice but scores of times
this was not done once or twice but scores of times.
this was knocked down once or twice but scores of times. this was not done once or twice but scores of times. this was knocked down once or twice but scores of times. this was knocked down once or twice but scores of times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was not done once or twice but scores of times', 'this was knocked down once or twice but scores of times', 'this was not done once or twice but scores of times', 'this was knocked down once or twice but scores of times', 'this was knocked down once or twice but scores of times']
[ "in spite of dalat is abusive gun toting boyfriend johnny begins to see dalat every day", "in spite of dalut is abusive gun toting boyfriend johnny begins to see dalut every day", "in spite of dalit is abusive gun toting boyfriend johnny begins to see dalit every day", "in spite of dalat is abusive gun toting...
in spite of darlette is abusive gun toting boyfriend johnny begins to see darlette every day
in spite of dalat is abusive gun toting boyfriend johnny begins to see dalat every day.
in spite of dalut is abusive gun toting boyfriend johnny begins to see dalut every day. in spite of dalit is abusive gun toting boyfriend johnny begins to see dalit every day. in spite of dalat is abusive gun toting boyfriend johnny begins to see dalat everyday. in spite of dalat is abusive gun toting boyfriend johnnie begins to see dalat every day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in spite of dalat is abusive gun toting boyfriend johnny begins to see dalat every day', 'in spite of dalut is abusive gun toting boyfriend johnny begins to see dalut every day', 'in spite of dalit is abusive gun toting boyfriend johnny begins to see dalit every day', 'in spite of dalat is abusive gun toting boyfriend johnny begins to see dalat everyday', 'in spite of dalat is abusive gun toting boyfriend johnnie begins to see dalat every day']
[ "unfortunately i have an engagement", "unfortunately i have not engaged me", "unfortunately i have an engagement", "unfortunately i have not engage me", "unfortunately i have an engagement" ]
unfortunately i have an engagement
unfortunately i have an engagement.
unfortunately i have not engaged me. unfortunately i have an engagement. unfortunately i have not engage me. unfortunately i have an engagement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unfortunately i have an engagement', 'unfortunately i have not engaged me', 'unfortunately i have an engagement', 'unfortunately i have not engage me', 'unfortunately i have an engagement']
[ "it is denoted by fc", "it is denoted by fc", "it is denoted by fc", "it is denoted by fc", "it is denoted by fc" ]
it is denoted by fc
it is denoted by fc.
it is denoted by fc. it is denoted by fc. it is denoted by fc. it is denoted by fc.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is denoted by fc', 'it is denoted by fc', 'it is denoted by fc', 'it is denoted by fc', 'it is denoted by fc']
[ "slim made the cover of time magazine in late september of that year", "slim made the cover of time magazine in late september of that year", "slime made the cover of time magazine in late september of that year", "slim made the cover of time magazine in late september of that year", "slim made the cover of...
slim made the cover of time magazine in late september of that year
slim made the cover of time magazine in late september of that year.
slim made the cover of time magazine in late september of that year. slime made the cover of time magazine in late september of that year. slim made the cover of time magazine in late september of that year. slim made the cover of time magazine in late september of that year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['slim made the cover of time magazine in late september of that year', 'slim made the cover of time magazine in late september of that year', 'slime made the cover of time magazine in late september of that year', 'slim made the cover of time magazine in late september of that year', 'slim made the cover of time magazine in late september of that year']
[ "the crown watching two scale photos perform tricks on a half pipe", "the crown watching two skid photos perform tricks on a half pipe", "the crown watching two scale photos performed tricks on a half pipe", "the crown watching two skid photos perform tricks on a half pipe", "the crown watching two skid pho...
a crown watching two skateboarders perform tricks on a half pipe
the crown watching two scale photos perform tricks on a half pipe.
the crown watching two skid photos perform tricks on a half pipe. the crown watching two scale photos performed tricks on a half pipe. the crown watching two skid photos perform tricks on a half pipe. the crown watching two skid photos performed tricks on a half pipe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the crown watching two scale photos perform tricks on a half pipe', 'the crown watching two skid photos perform tricks on a half pipe', 'the crown watching two scale photos performed tricks on a half pipe', 'the crown watching two skid photos perform tricks on a half pipe', 'the crown watching two skid photos performed tricks on a half pipe']
[ "they are elected for two years", "they are elected for two years", "they are elected for two years", "they are elected for two years", "they are elected for two years" ]
they are elected for two years
they are elected for two years.
they are elected for two years. they are elected for two years. they are elected for two years. they are elected for two years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are elected for two years', 'they are elected for two years', 'they are elected for two years', 'they are elected for two years', 'they are elected for two years']
[ "this continued on smackdown", "this continue on smackdown", "this continue on smackdown", "this continued on smackdown", "this continues on smackdown" ]
this continued on smackdown
this continued on smackdown.
this continue on smackdown. this continue on smackdown. this continued on smackdown. this continues on smackdown.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this continued on smackdown', 'this continue on smackdown', 'this continue on smackdown', 'this continued on smackdown', 'this continues on smackdown']
[ "the first design renderings of first tennessee park did not feature a guitar scoreboard", "the first design rendering of first tennessee park did not feature a guitar scoreboard", "the first design renderings of first tennessee park did not feature guitar scoreboard", "the first design rendering of first ten...
the first design renderings of first tennessee park did not feature a guitar scoreboard
the first design renderings of first tennessee park did not feature a guitar scoreboard.
the first design rendering of first tennessee park did not feature a guitar scoreboard. the first design renderings of first tennessee park did not feature guitar scoreboard. the first design rendering of first tennessee park did not feature guitar scoreboard. the first design rendering of the first tennessee park did not feature a guitar scoreboard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first design renderings of first tennessee park did not feature a guitar scoreboard', 'the first design rendering of first tennessee park did not feature a guitar scoreboard', 'the first design renderings of first tennessee park did not feature guitar scoreboard', 'the first design rendering of first tennessee park did not feature guitar scoreboard', 'the first design rendering of the first tennessee park did not feature a guitar scoreboard']
[ "glasgow also hosts an annual queer arts festival in november", "glasgow also hosts an annual queer arts festival in november", "blasco also hosts an annual queer arts festival in november", "blasco also hosts an annual queen arts festival in november", "blasco also hosts an annual queen arts festival in no...
glasgow also hosts an annual queer arts festival in november
glasgow also hosts an annual queer arts festival in november.
glasgow also hosts an annual queer arts festival in november. blasco also hosts an annual queer arts festival in november. blasco also hosts an annual queen arts festival in november. blasco also hosts an annual queen arts festival in november.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['glasgow also hosts an annual queer arts festival in november', 'glasgow also hosts an annual queer arts festival in november', 'blasco also hosts an annual queer arts festival in november', 'blasco also hosts an annual queen arts festival in november', 'blasco also hosts an annual queen arts festival in november']
[ "no i am the gauge", "no i am the gauge", "no i am the gauge", "no i am the gauge", "no i am the gauge" ]
no i am in the cage
no i am the gauge.
no i am the gauge. no i am the gauge. no i am the gauge. no i am the gauge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no i am the gauge', 'no i am the gauge', 'no i am the gauge', 'no i am the gauge', 'no i am the gauge']
[ "the duality of the park natural areas management is still represented", "the duality of the park in actual areas management is still represented", "the duality of the park and actual areas management is still represented", "the duality of the park in actual areas management is still represented", "the dual...
the duality of the park natural area is management is still represented
the duality of the park natural areas management is still represented.
the duality of the park in actual areas management is still represented. the duality of the park and actual areas management is still represented. the duality of the park in actual areas management is still represented. the duality of the park natural areas management is still represented.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the duality of the park natural areas management is still represented', 'the duality of the park in actual areas management is still represented', 'the duality of the park and actual areas management is still represented', 'the duality of the park in actual areas management is still represented', 'the duality of the park natural areas management is still represented']
[ "perfect winning the title by defeating tito santana in the finals", "perfect winning the title by defeating tito santana in the finals", "perfect winning the title by defeating tito santana in the finals", "perfect winning the title by defeating tito santana in the finals", "perfect winning the title by de...
perfect winning the title by defeating tito santana in the finals
perfect winning the title by defeating tito santana in the finals.
perfect winning the title by defeating tito santana in the finals. perfect winning the title by defeating tito santana in the finals. perfect winning the title by defeating tito santana in the finals. perfect winning the title by defeating tito santana in the finals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['perfect winning the title by defeating tito santana in the finals', 'perfect winning the title by defeating tito santana in the finals', 'perfect winning the title by defeating tito santana in the finals', 'perfect winning the title by defeating tito santana in the finals', 'perfect winning the title by defeating tito santana in the finals']
[ "they also protect nearby personnel from being accidentally struck by quickly rotating antennas", "they also protect nearby personal from being accidentally struck by quickly rotating antennas", "they also protect nearby personnel from being accidently struck by quickly rotating antennas", "they also protect ...
they also protect nearby personnel from being accidentally struck by quickly rotating antennas
they also protect nearby personnel from being accidentally struck by quickly rotating antennas.
they also protect nearby personal from being accidentally struck by quickly rotating antennas. they also protect nearby personnel from being accidently struck by quickly rotating antennas. they also protect nearby personnel from being accidentally struck by quickly rotating antennas. they also protect nearby personal from being accidentally struck by quickly rotating antennas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also protect nearby personnel from being accidentally struck by quickly rotating antennas', 'they also protect nearby personal from being accidentally struck by quickly rotating antennas', 'they also protect nearby personnel from being accidently struck by quickly rotating antennas', 'they also protect nearby personnel from being accidentally struck by quickly rotating antennas', 'they also protect nearby personal from being accidentally struck by quickly rotating antennas']
[ "execution is where whenever possible selected from among slaves convicted for a capital crime", "executioners were whenever possible selected from among slaves convicted for a capital crime", "execution is where whenever possible selected from amongst slaves convicted for a capital crime", "execution is wher...
executioners were whenever possible selected from among slaves convicted for a capital crime
execution is where whenever possible selected from among slaves convicted for a capital crime.
executioners were whenever possible selected from among slaves convicted for a capital crime. execution is where whenever possible selected from amongst slaves convicted for a capital crime. execution is where whenever possible selected from among slaves convicted for a capital crime. execution is where when ever possible selected from among slaves convicted for a capital crime.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['execution is where whenever possible selected from among slaves convicted for a capital crime', 'executioners were whenever possible selected from among slaves convicted for a capital crime', 'execution is where whenever possible selected from amongst slaves convicted for a capital crime', 'execution is where whenever possible selected from among slaves convicted for a capital crime', 'execution is where when ever possible selected from among slaves convicted for a capital crime']
[ "and wash the chair come up with its wagon of coal", "he was the chair come up with his wagon of coal", "and watch the chair come up with its wagon of coal", "you wash the chair come up with its wagon of coal", "and wash the chair come up with its wagon of coal" ]
he watched the chair come up with its wagon of coal
and wash the chair come up with its wagon of coal.
he was the chair come up with his wagon of coal. and watch the chair come up with its wagon of coal. you wash the chair come up with its wagon of coal. and wash the chair come up with its wagon of coal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and wash the chair come up with its wagon of coal', 'he was the chair come up with his wagon of coal', 'and watch the chair come up with its wagon of coal', 'you wash the chair come up with its wagon of coal', 'and wash the chair come up with its wagon of coal']
[ "the latter took the harm is stead", "the ladder took the harmstead", "the latter took the harmstead", "the ladder took the harm is stead", "the latter took the harm instead" ]
the latter took the homestead
the latter took the harm is stead.
the ladder took the harmstead. the latter took the harmstead. the ladder took the harm is stead. the latter took the harm instead.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the latter took the harm is stead', 'the ladder took the harmstead', 'the latter took the harmstead', 'the ladder took the harm is stead', 'the latter took the harm instead']
[ "a woman in a purple coat washing ass men sitting at a table", "a woman in a purple coat washing us men sitting at a table", "a woman in a purple coat washing ass men sitting on a table", "a woman in a purple coat washing ass men sitting in a table", "a woman in a purple coat washing her men sitting at a ta...
a woman in a purple coat walk past men sitting at a table
a woman in a purple coat washing ass men sitting at a table.
a woman in a purple coat washing us men sitting at a table. a woman in a purple coat washing ass men sitting on a table. a woman in a purple coat washing ass men sitting in a table. a woman in a purple coat washing her men sitting at a table.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a woman in a purple coat washing ass men sitting at a table', 'a woman in a purple coat washing us men sitting at a table', 'a woman in a purple coat washing ass men sitting on a table', 'a woman in a purple coat washing ass men sitting in a table', 'a woman in a purple coat washing her men sitting at a table']
[ "for simplicity assume that the cutoff frequency is equal to unity", "for simplicity assume that the cut of frequency is equal to unity", "for simplicity assume that the cattle frequency is equal to unity", "for simplicity assume that the cut off frequency is equal to unity", "for simplicity assume that the...
for simplicity assume that the cutoff frequency is equal to unity
for simplicity assume that the cutoff frequency is equal to unity.
for simplicity assume that the cut of frequency is equal to unity. for simplicity assume that the cattle frequency is equal to unity. for simplicity assume that the cut off frequency is equal to unity. for simplicity assume that the cutoff frequency is equal to unity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for simplicity assume that the cutoff frequency is equal to unity', 'for simplicity assume that the cut of frequency is equal to unity', 'for simplicity assume that the cattle frequency is equal to unity', 'for simplicity assume that the cut off frequency is equal to unity', 'for simplicity assume that the cutoff frequency is equal to unity']
[ "a member of the military that is holding a gun and sitting on top of a vehicle", "a member of the mill creed that is holding a gun and sitting on top of a vehicle", "the member of the military that is holding a gun and sitting on top of a vehicle", "a member of the military that is holding a gun and sitting ...
a member of the military that is holding a gun and sitting on top of a vehicle
a member of the military that is holding a gun and sitting on top of a vehicle.
a member of the mill creed that is holding a gun and sitting on top of a vehicle. the member of the military that is holding a gun and sitting on top of a vehicle. a member of the military that is holding a gun and sitting on top of a wake up. the member of the mill creed that is holding a gun and sitting on top of a vehicle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a member of the military that is holding a gun and sitting on top of a vehicle', 'a member of the mill creed that is holding a gun and sitting on top of a vehicle', 'the member of the military that is holding a gun and sitting on top of a vehicle', 'a member of the military that is holding a gun and sitting on top of a wake up', 'the member of the mill creed that is holding a gun and sitting on top of a vehicle']
[ "the information services staff manages the state library is general circulating and reference collections", "the information services staff manages the state library is general circulating and reference collections", "the information services staff manages the state library is general circulating and reference...
the information services staff manages the state library is general circulating and reference collections
the information services staff manages the state library is general circulating and reference collections.
the information services staff manages the state library is general circulating and reference collections. the information services staff manages the state library is general circulating and reference collections. the information services staff manages the state library is general circulating and reference collections. the information services staff manages the state library is general circulating and reference collections.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the information services staff manages the state library is general circulating and reference collections', 'the information services staff manages the state library is general circulating and reference collections', 'the information services staff manages the state library is general circulating and reference collections', 'the information services staff manages the state library is general circulating and reference collections', 'the information services staff manages the state library is general circulating and reference collections']
[ "it has three different geographic areas", "it has three different geographic areas", "it has three different geography areas", "so it has three different geographic areas", "so it has three different geographic areas" ]
it has three different geographic areas
it has three different geographic areas.
it has three different geographic areas. it has three different geography areas. so it has three different geographic areas. so it has three different geographic areas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has three different geographic areas', 'it has three different geographic areas', 'it has three different geography areas', 'so it has three different geographic areas', 'so it has three different geographic areas']
[ "they should receive the secondary education and graduated from high school with honors", "there she received a secondary education and graduated from high school with honors", "they should receive the secondary education and graduated from high school with honors", "there she received a secondary education a...
there she received her secondary education and graduated from high school with honors
they should receive the secondary education and graduated from high school with honors.
there she received a secondary education and graduated from high school with honors. they should receive the secondary education and graduated from high school with honors. there she received a secondary education and graduated from high school with honors. then she received a secondary education and graduated from high school with honors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they should receive the secondary education and graduated from high school with honors', 'there she received a secondary education and graduated from high school with honors', 'they should receive the secondary education and graduated from high school with honors', 'there she received a secondary education and graduated from high school with honors', 'then she received a secondary education and graduated from high school with honors']
[ "creators in enlarges like parts are a common method of achieving this control", "freedom in enlarges like past are a common method of achieving this control", "preeter in enlarges like parts are a common method of achieving this control", "freedom in enlarges like parts are a common method of achieving this ...
filters in the enlarger is light path are a common method of achieving this control
creators in enlarges like parts are a common method of achieving this control.
freedom in enlarges like past are a common method of achieving this control. preeter in enlarges like parts are a common method of achieving this control. freedom in enlarges like parts are a common method of achieving this control. freedom in enlarges light past are a common method of achieving this control.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['creators in enlarges like parts are a common method of achieving this control', 'freedom in enlarges like past are a common method of achieving this control', 'preeter in enlarges like parts are a common method of achieving this control', 'freedom in enlarges like parts are a common method of achieving this control', 'freedom in enlarges light past are a common method of achieving this control']
[ "he studied finance at western michigan university", "he studied finance at the western michigan university", "he studied finance at the western mission university", "he studied finance at western mission university", "he studied finance at western machine university" ]
he studied fine arts at western michigan university
he studied finance at western michigan university.
he studied finance at the western michigan university. he studied finance at the western mission university. he studied finance at western mission university. he studied finance at western machine university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he studied finance at western michigan university', 'he studied finance at the western michigan university', 'he studied finance at the western mission university', 'he studied finance at western mission university', 'he studied finance at western machine university']
[ "the book is front cover is the famous authorized image taken by andos", "the book is front cover is the famous authorized image taken by andos", "the book is front cover is the famous authorized image taken by andos", "the book is front cover is the famous authorized image taken by andos", "the book is fro...
the book is front cover is the famous earthrise image taken by anders
the book is front cover is the famous authorized image taken by andos.
the book is front cover is the famous authorized image taken by andos. the book is front cover is the famous authorized image taken by andos. the book is front cover is the famous authorized image taken by andos. the book is front cover is the famous authorized image taken by andos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the book is front cover is the famous authorized image taken by andos', 'the book is front cover is the famous authorized image taken by andos', 'the book is front cover is the famous authorized image taken by andos', 'the book is front cover is the famous authorized image taken by andos', 'the book is front cover is the famous authorized image taken by andos']
[ "children from this township attend schools in the blue mountain school district", "children from this township attend schools in the blue mountains school district", "children from this township attend schools in the blue mountains school district", "children from this township attempt schools in the blue mo...
children from this township attend schools in the blue mountain school district
children from this township attend schools in the blue mountain school district.
children from this township attend schools in the blue mountains school district. children from this township attend schools in the blue mountains school district. children from this township attempt schools in the blue mountain school district. children from this township attend schools in the blue mountains school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['children from this township attend schools in the blue mountain school district', 'children from this township attend schools in the blue mountains school district', 'children from this township attend schools in the blue mountains school district', 'children from this township attempt schools in the blue mountain school district', 'children from this township attend schools in the blue mountains school district']
[ "a tumbler is a unique numerical address of any interesting artifact", "a tumblr is a unique numerical address of any interesting artifact", "a tumbler is a unique numerical address of any interesting artifact", "a tumbler is a unique numerical entries of any interesting artifact", "atomler is a unique nume...
a tumbler is a unique numerical address of any interesting artifact
a tumbler is a unique numerical address of any interesting artifact.
a tumblr is a unique numerical address of any interesting artifact. a tumbler is a unique numerical address of any interesting artifact. a tumbler is a unique numerical entries of any interesting artifact. atomler is a unique numerical address of any interesting artifact.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a tumbler is a unique numerical address of any interesting artifact', 'a tumblr is a unique numerical address of any interesting artifact', 'a tumbler is a unique numerical address of any interesting artifact', 'a tumbler is a unique numerical entries of any interesting artifact', 'atomler is a unique numerical address of any interesting artifact']
[ "the list shows former ingredients and mcgrawham continues his adventure", "the list shows four new ingredients and mcgrawham continues his adventure", "the list shows four new ingredients and mcgrawham continues his adventure", "the list shows foreigner ingredients and mcgrawham continues his adventure", "...
the list shows four new ingredients and graham continues his adventure
the list shows former ingredients and mcgrawham continues his adventure.
the list shows four new ingredients and mcgrawham continues his adventure. the list shows four new ingredients and mcgrawham continues his adventure. the list shows foreigner ingredients and mcgrawham continues his adventure. the list shows former ingredients and mcgrawham continues his event chart.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the list shows former ingredients and mcgrawham continues his adventure', 'the list shows four new ingredients and mcgrawham continues his adventure', 'the list shows four new ingredients and mcgrawham continues his adventure', 'the list shows foreigner ingredients and mcgrawham continues his adventure', 'the list shows former ingredients and mcgrawham continues his event chart']
[ "milk snakes are much more opportunistic eaters than the fox snake or corn snake", "milk snakes are much more opportunistic eaters than the fox snake or corn snake", "milk snakes are much more opportunistic eaters than the fox snake or corn snake", "milk snakes are much more opportunistic eaters than the fox ...
milk snakes are much more opportunistic eaters than the fox snake or corn snake
milk snakes are much more opportunistic eaters than the fox snake or corn snake.
milk snakes are much more opportunistic eaters than the fox snake or corn snake. milk snakes are much more opportunistic eaters than the fox snake or corn snake. milk snakes are much more opportunistic eaters than the fox snake or corn snake. milk snakes are much more opportunistic eaters than the fox snake or corn snake.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['milk snakes are much more opportunistic eaters than the fox snake or corn snake', 'milk snakes are much more opportunistic eaters than the fox snake or corn snake', 'milk snakes are much more opportunistic eaters than the fox snake or corn snake', 'milk snakes are much more opportunistic eaters than the fox snake or corn snake', 'milk snakes are much more opportunistic eaters than the fox snake or corn snake']
[ "can you wash dishes right asked gil distrustfully", "can you wash dishes right asked gil distrustfully", "can you wash dishes right asked gil distrustfully", "can you wash dishes right asked gil distrustfully", "can you wash dishes right asked gill distrustfully" ]
can you wash dishes right asked gill distrustfully
can you wash dishes right asked gil distrustfully.
can you wash dishes right asked gil distrustfully. can you wash dishes right asked gil distrustfully. can you wash dishes right asked gil distrustfully. can you wash dishes right asked gill distrustfully.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['can you wash dishes right asked gil distrustfully', 'can you wash dishes right asked gil distrustfully', 'can you wash dishes right asked gil distrustfully', 'can you wash dishes right asked gil distrustfully', 'can you wash dishes right asked gill distrustfully']
[ "many of its inhabitants still have perdilla as their family name", "many of its inhabitants still have pardilla as their family name", "many of its inhabitants still have pardilla as their family name", "many of its inhabitants still have pardilla as their family name", "many of its inhabitants still have ...
many of its inhabitants still have padilla as their family name
many of its inhabitants still have perdilla as their family name.
many of its inhabitants still have pardilla as their family name. many of its inhabitants still have pardilla as their family name. many of its inhabitants still have pardilla as their family name. many of its inhabitants still have pardilla as their family name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['many of its inhabitants still have perdilla as their family name', 'many of its inhabitants still have pardilla as their family name', 'many of its inhabitants still have pardilla as their family name', 'many of its inhabitants still have pardilla as their family name', 'many of its inhabitants still have pardilla as their family name']
[ "heritage victoria reports to the heritage council versus nominations to the register", "heritage victoria reports to the heritage council versus nominations to the registrar", "heritage victoria reports to the heritage council who assists nominations to the registrar", "heritage victoria reports to the herit...
heritage victoria reports to the heritage council who assess nominations to the register
heritage victoria reports to the heritage council versus nominations to the register.
heritage victoria reports to the heritage council versus nominations to the registrar. heritage victoria reports to the heritage council who assists nominations to the registrar. heritage victoria reports to the heritage council versus nominations to the registrar. heritage victoria reports to the heritage council who assists nominations to the registrar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['heritage victoria reports to the heritage council versus nominations to the register', 'heritage victoria reports to the heritage council versus nominations to the registrar', 'heritage victoria reports to the heritage council who assists nominations to the registrar', 'heritage victoria reports to the heritage council versus nominations to the registrar', 'heritage victoria reports to the heritage council who assists nominations to the registrar']
[ "the japanese education institute of new york has its headquarters in ra", "the japanese education institute of new york has its headquarters in rome", "the japanese educational institute of new york has its headquarters in ra", "the japanese education institute of new york has its headquarters in iraq", "t...
the japanese educational institute of new york has its headquarters in rye
the japanese education institute of new york has its headquarters in ra.
the japanese education institute of new york has its headquarters in rome. the japanese educational institute of new york has its headquarters in ra. the japanese education institute of new york has its headquarters in iraq. the japanese educational institute of new york has its headquarters in rome.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the japanese education institute of new york has its headquarters in ra', 'the japanese education institute of new york has its headquarters in rome', 'the japanese educational institute of new york has its headquarters in ra', 'the japanese education institute of new york has its headquarters in iraq', 'the japanese educational institute of new york has its headquarters in rome']
[ "the planters are already considering the matter", "the planters are already considering the meta", "the planters are already considering the meta", "the planters are already considering the metter", "the planters are already considering the metter" ]
the planters are already considering the matter
the planters are already considering the matter.
the planters are already considering the meta. the planters are already considering the meta. the planters are already considering the metter. the planters are already considering the metter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the planters are already considering the matter', 'the planters are already considering the meta', 'the planters are already considering the meta', 'the planters are already considering the metter', 'the planters are already considering the metter']
[ "he endowed professorships at yale stanford and the university of wyoming", "he endured professorships at yale stanford and the university of wyoming", "he endured professorships at yale stanford and the university of wyoming", "he endured professorships at yale stanford and the university of wyoming", "he ...
he endowed professorships at yale stanford and the university of wyoming
he endowed professorships at yale stanford and the university of wyoming.
he endured professorships at yale stanford and the university of wyoming. he endured professorships at yale stanford and the university of wyoming. he endured professorships at yale stanford and the university of wyoming. he endured professorships at yale stanford and the university of wyoming.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he endowed professorships at yale stanford and the university of wyoming', 'he endured professorships at yale stanford and the university of wyoming', 'he endured professorships at yale stanford and the university of wyoming', 'he endured professorships at yale stanford and the university of wyoming', 'he endured professorships at yale stanford and the university of wyoming']
[ "plenty wrote that it was an island of a magnitude as yet unassetained", "pliny wrote that it was an island of a magnitude as yet unassetained", "plenty wrote that it was an island of a magnitude as yet unacertained", "pliny wrote that it was an island of a magnitude as yet unacertained", "plenty wrote that...
pliny wrote that it was an island of a magnitude as yet unascertained
plenty wrote that it was an island of a magnitude as yet unassetained.
pliny wrote that it was an island of a magnitude as yet unassetained. plenty wrote that it was an island of a magnitude as yet unacertained. pliny wrote that it was an island of a magnitude as yet unacertained. plenty wrote that it was an island of a magnitude as yet un acertained.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['plenty wrote that it was an island of a magnitude as yet unassetained', 'pliny wrote that it was an island of a magnitude as yet unassetained', 'plenty wrote that it was an island of a magnitude as yet unacertained', 'pliny wrote that it was an island of a magnitude as yet unacertained', 'plenty wrote that it was an island of a magnitude as yet un acertained']
[ "as such it describes a family of languages rather than any particular language", "as such describes a family of languages rather than any particular language", "as such describes a family of languages rather than any particular language", "as such describes a family of languages rather than any particular la...
as such it describes a family of languages rather than any particular language
as such it describes a family of languages rather than any particular language.
as such describes a family of languages rather than any particular language. as such describes a family of languages rather than any particular language. as such describes a family of languages rather than any particular language. as such describes a family of languages rather than any particular language.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as such it describes a family of languages rather than any particular language', 'as such describes a family of languages rather than any particular language', 'as such describes a family of languages rather than any particular language', 'as such describes a family of languages rather than any particular language', 'as such describes a family of languages rather than any particular language']
[ "however the election was declared void", "however the election was declared void", "however the election was declared void", "however the election was declared void", "however the election was declared void" ]
however the election was declared void
however the election was declared void.
however the election was declared void. however the election was declared void. however the election was declared void. however the election was declared void.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the election was declared void', 'however the election was declared void', 'however the election was declared void', 'however the election was declared void', 'however the election was declared void']
[ "i doubt very much if we would be in existence without them", "i doubt very much if we would be in existence without them", "i doubt very much if we would be in existence without them", "i doubt very much if we would be in existence without them", "i doubt very much if we would be in existence without them"...
i doubt very much if we would be in existence without them
i doubt very much if we would be in existence without them.
i doubt very much if we would be in existence without them. i doubt very much if we would be in existence without them. i doubt very much if we would be in existence without them. i doubt very much if we would be in existence without them.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i doubt very much if we would be in existence without them', 'i doubt very much if we would be in existence without them', 'i doubt very much if we would be in existence without them', 'i doubt very much if we would be in existence without them', 'i doubt very much if we would be in existence without them']
[ "when asked about the scene gibson said i wanted it in", "when asked about this scene gibson said i wanted it in", "when asked about the scene gibson said i wanted it in", "when asked about this scene gibson said i wanted it in", "when asked about the scene gibson said i wanted it in" ]
when asked about this scene gibson said i wanted it in
when asked about the scene gibson said i wanted it in.
when asked about this scene gibson said i wanted it in. when asked about the scene gibson said i wanted it in. when asked about this scene gibson said i wanted it in. when asked about the scene gibson said i wanted it in.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when asked about the scene gibson said i wanted it in', 'when asked about this scene gibson said i wanted it in', 'when asked about the scene gibson said i wanted it in', 'when asked about this scene gibson said i wanted it in', 'when asked about the scene gibson said i wanted it in']
[ "he was appointed master of the house", "he was appointed master of the house", "he was appointed master of the house", "he was appointed master of the house", "he was appointed master of the house" ]
he was appointed master of the horse
he was appointed master of the house.
he was appointed master of the house. he was appointed master of the house. he was appointed master of the house. he was appointed master of the house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was appointed master of the house', 'he was appointed master of the house', 'he was appointed master of the house', 'he was appointed master of the house', 'he was appointed master of the house']
[ "they have developed nearly a commercial real estate", "they have developed nearly a commercial real estate", "they have developed nearly a commercial real estate", "they have developed nearly a commercial real estate", "they have developed nearly a commercial real estate" ]
they have developed nearly of commercial real estate
they have developed nearly a commercial real estate.
they have developed nearly a commercial real estate. they have developed nearly a commercial real estate. they have developed nearly a commercial real estate. they have developed nearly a commercial real estate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have developed nearly a commercial real estate', 'they have developed nearly a commercial real estate', 'they have developed nearly a commercial real estate', 'they have developed nearly a commercial real estate', 'they have developed nearly a commercial real estate']
[ "crees in the district included erklund haydemann and berkeley", "crees in the district included erklund haydemann and berkeley", "crees in the district included erklund hadimound and berkeley", "crees in the district included erklund hadamoun and berkeley", "crees in the district included erklund hadimound...
cities in the district included oakland piedmont and berkeley
crees in the district included erklund haydemann and berkeley.
crees in the district included erklund haydemann and berkeley. crees in the district included erklund hadimound and berkeley. crees in the district included erklund hadamoun and berkeley. crees in the district included erklund hadimound and berkeley.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['crees in the district included erklund haydemann and berkeley', 'crees in the district included erklund haydemann and berkeley', 'crees in the district included erklund hadimound and berkeley', 'crees in the district included erklund hadamoun and berkeley', 'crees in the district included erklund hadimound and berkeley']
[ "two notable exceptions are dedicated to the death of members of his family", "two notable exceptions are dedicated to the death of the members of his family", "two notable exceptions are dedicated to the death of members of his family", "two notable exceptions are dedicated to the death of members of his fam...
two notable exceptions are dedicated to the death of members of his family
two notable exceptions are dedicated to the death of members of his family.
two notable exceptions are dedicated to the death of the members of his family. two notable exceptions are dedicated to the death of members of his family. two notable exceptions are dedicated to the death of members of his family. two notable exceptions are dedicated to the death of members of his family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two notable exceptions are dedicated to the death of members of his family', 'two notable exceptions are dedicated to the death of the members of his family', 'two notable exceptions are dedicated to the death of members of his family', 'two notable exceptions are dedicated to the death of members of his family', 'two notable exceptions are dedicated to the death of members of his family']
[ "he is also a campaigner for awareness of global warming and human rights", "he is also a campaigner for awareness of global warming and human rights", "he is also a campaigner for awareness of global warming and human rights", "he is also a campaigner for awareness of global warming and human rights", "he ...
he is also a campaigner for awareness of global warming and human rights
he is also a campaigner for awareness of global warming and human rights.
he is also a campaigner for awareness of global warming and human rights. he is also a campaigner for awareness of global warming and human rights. he is also a campaigner for awareness of global warming and human rights. he is also a campaigner for awareness of global warming and human rights.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is also a campaigner for awareness of global warming and human rights', 'he is also a campaigner for awareness of global warming and human rights', 'he is also a campaigner for awareness of global warming and human rights', 'he is also a campaigner for awareness of global warming and human rights', 'he is also a campaigner for awareness of global warming and human rights']
[ "philotheosis early life is not known", "philoteus is early life is not known", "philoteus early life is not known", "filothias early life is not known", "filothius early life is not known" ]
philotheus early life is not known
philotheosis early life is not known.
philoteus is early life is not known. philoteus early life is not known. filothias early life is not known. filothius early life is not known.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['philotheosis early life is not known', 'philoteus is early life is not known', 'philoteus early life is not known', 'filothias early life is not known', 'filothius early life is not known']
[ "hugh is now a france and francisco based venture capitalist with violent international investment growth", "hew is now a france and francisco based venture capitalist with violent international investment growth", "hew is now a fran san francisco based venture capitalist with violent international investment g...
hu is now a san francisco based venture capitalist with walden international investment group
hugh is now a france and francisco based venture capitalist with violent international investment growth.
hew is now a france and francisco based venture capitalist with violent international investment growth. hew is now a fran san francisco based venture capitalist with violent international investment growth. hugh is now a fran san francisco based venture capitalist with violent international investment growth. hugh is now a france and francisco based venture capitalist with violent international.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hugh is now a france and francisco based venture capitalist with violent international investment growth', 'hew is now a france and francisco based venture capitalist with violent international investment growth', 'hew is now a fran san francisco based venture capitalist with violent international investment growth', 'hugh is now a fran san francisco based venture capitalist with violent international investment growth', 'hugh is now a france and francisco based venture capitalist with violent international']
[ "great woman of islam", "great woman of islam", "great woman of islam", "great woman of islam", "great woman of islam" ]
great women of islam
great woman of islam.
great woman of islam. great woman of islam. great woman of islam. great woman of islam.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['great woman of islam', 'great woman of islam', 'great woman of islam', 'great woman of islam', 'great woman of islam']
[ "the transaction failed to complete", "the transaction failed to complete", "the transaction failed to complete", "the transaction failed to complete", "the transaction failed to complete" ]
the transaction failed to complete
the transaction failed to complete.
the transaction failed to complete. the transaction failed to complete. the transaction failed to complete. the transaction failed to complete.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the transaction failed to complete', 'the transaction failed to complete', 'the transaction failed to complete', 'the transaction failed to complete', 'the transaction failed to complete']
[ "it contains a timeline of darwin is life", "it contains the timeline of darwin is life", "it contains a timeline of dawing is life", "it contains a timeline of derbing is life", "it contains a timeline of derbing is life" ]
it contains a timeline of darwin is life
it contains a timeline of darwin is life.
it contains the timeline of darwin is life. it contains a timeline of dawing is life. it contains a timeline of derbing is life. it contains a timeline of derbing is life.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it contains a timeline of darwin is life', 'it contains the timeline of darwin is life', 'it contains a timeline of dawing is life', 'it contains a timeline of derbing is life', 'it contains a timeline of derbing is life']
[ "he has also modeled for sh joji amin donor karen and heisberg", "he has also modeled for sh joji amin dona karen and heisberg", "he has also modeled for sh joji amin donar karen and heisberg", "he has also modeled for ss joji amin dona karen and heisberg", "he has also modeled for ss joji amin donor karen ...
he has also modeled for versace giorgio armani donna karan and iceberg
he has also modeled for sh joji amin donor karen and heisberg.
he has also modeled for sh joji amin dona karen and heisberg. he has also modeled for sh joji amin donar karen and heisberg. he has also modeled for ss joji amin dona karen and heisberg. he has also modeled for ss joji amin donor karen and heisberg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he has also modeled for sh joji amin donor karen and heisberg', 'he has also modeled for sh joji amin dona karen and heisberg', 'he has also modeled for sh joji amin donar karen and heisberg', 'he has also modeled for ss joji amin dona karen and heisberg', 'he has also modeled for ss joji amin donor karen and heisberg']
[ "zosan freeman provided sideline reporting", "zosan freeman provided sideline reporting", "zousan freeman provided sideline reporting", "zosan freeman provided side line reporting", "zusan freeman provided sideline reporting" ]
suzanne freeman provided sideline reporting
zosan freeman provided sideline reporting.
zosan freeman provided sideline reporting. zousan freeman provided sideline reporting. zosan freeman provided side line reporting. zusan freeman provided sideline reporting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['zosan freeman provided sideline reporting', 'zosan freeman provided sideline reporting', 'zousan freeman provided sideline reporting', 'zosan freeman provided side line reporting', 'zusan freeman provided sideline reporting']
[ "this foundation was set up to help those with cancer fight it", "this foundation was set up to help those with cancer fighting", "this foundation was set up to help those with cancer fight it", "this foundation was set up to help those with cancer fight it", "this foundation was set up to help those with c...
this foundation was set up to help those with cancer fight it
this foundation was set up to help those with cancer fight it.
this foundation was set up to help those with cancer fighting. this foundation was set up to help those with cancer fight it. this foundation was set up to help those with cancer fight it. this foundation was set up to help those with cancer fight it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this foundation was set up to help those with cancer fight it', 'this foundation was set up to help those with cancer fighting', 'this foundation was set up to help those with cancer fight it', 'this foundation was set up to help those with cancer fight it', 'this foundation was set up to help those with cancer fight it']
[ "did i shave my next finis", "did i shave my legs finished", "did i shave my legs for this", "did i shave my legs fitness", "did i shave my next finesse" ]
did i shave my legs for this
did i shave my next finis.
did i shave my legs finished. did i shave my legs for this. did i shave my legs fitness. did i shave my next finesse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['did i shave my next finis', 'did i shave my legs finished', 'did i shave my legs for this', 'did i shave my legs fitness', 'did i shave my next finesse']
[ "he was the eldest of six children in the irish catholic family", "he was the eldest of six children in the irish catholic family", "he was the oldest of six children in the irish catholic family", "he was the end list of six children in the irish catholic family", "he was the eldest of six children in the ...
he was the eldest of six children in the irish catholic family
he was the eldest of six children in the irish catholic family.
he was the eldest of six children in the irish catholic family. he was the oldest of six children in the irish catholic family. he was the end list of six children in the irish catholic family. he was the eldest of six children in the irish catholic family.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was the eldest of six children in the irish catholic family', 'he was the eldest of six children in the irish catholic family', 'he was the oldest of six children in the irish catholic family', 'he was the end list of six children in the irish catholic family', 'he was the eldest of six children in the irish catholic family']
[ "a video was made for lady fingers", "a video was made for ladies and girls", "a video was made for ladyfingers", "a video was made for lady thingers", "a video was made for lady thingers" ]
a video was made for ladyfingers
a video was made for lady fingers.
a video was made for ladies and girls. a video was made for ladyfingers. a video was made for lady thingers. a video was made for lady thingers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a video was made for lady fingers', 'a video was made for ladies and girls', 'a video was made for ladyfingers', 'a video was made for lady thingers', 'a video was made for lady thingers']
[ "inflation was not all bad", "inflation was not all bad", "inflation was not all bad", "inflation was not all bad", "inflation was not all bad" ]
inflation was not all bad
inflation was not all bad.
inflation was not all bad. inflation was not all bad. inflation was not all bad. inflation was not all bad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['inflation was not all bad', 'inflation was not all bad', 'inflation was not all bad', 'inflation was not all bad', 'inflation was not all bad']
[ "the district town was sandwiched later renamed windsor", "the district town was sandwiched later renamed windsor", "the district town was sandwiched later renamed whitsar", "the district town was sandwiched later renamed winsor", "the district town was sandwiched later renamed winsor" ]
the district town was sandwich later renamed windsor
the district town was sandwiched later renamed windsor.
the district town was sandwiched later renamed windsor. the district town was sandwiched later renamed whitsar. the district town was sandwiched later renamed winsor. the district town was sandwiched later renamed winsor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the district town was sandwiched later renamed windsor', 'the district town was sandwiched later renamed windsor', 'the district town was sandwiched later renamed whitsar', 'the district town was sandwiched later renamed winsor', 'the district town was sandwiched later renamed winsor']
[ "beut misanaeans have their original psyched trim line", "beut mizanayans have their original psyched trim line", "beut mizanais have their original psyched trim line", "beut mizunais have their original psyched trim line", "beut mizzanas have their original psyched trim line" ]
both mezzanines have their original mosaic trim line
beut misanaeans have their original psyched trim line.
beut mizanayans have their original psyched trim line. beut mizanais have their original psyched trim line. beut mizunais have their original psyched trim line. beut mizzanas have their original psyched trim line.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['beut misanaeans have their original psyched trim line', 'beut mizanayans have their original psyched trim line', 'beut mizanais have their original psyched trim line', 'beut mizunais have their original psyched trim line', 'beut mizzanas have their original psyched trim line']
[ "the first course of angu man have high artistic value as examples of roman art", "the first course of anguman have high artistic value as examples of roman art", "the first course of angwoman have high artistic value as examples of roman art", "the first course of ang woman have high artistic value as exampl...
the frescos of young women have high artistic value as examples of roman art
the first course of angu man have high artistic value as examples of roman art.
the first course of anguman have high artistic value as examples of roman art. the first course of angwoman have high artistic value as examples of roman art. the first course of ang woman have high artistic value as examples of roman art. the first course of ng women have high artistic value as examples of roman art.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first course of angu man have high artistic value as examples of roman art', 'the first course of anguman have high artistic value as examples of roman art', 'the first course of angwoman have high artistic value as examples of roman art', 'the first course of ang woman have high artistic value as examples of roman art', 'the first course of ng women have high artistic value as examples of roman art']
[ "he got as far as outside the hall stopped and drove home again", "he got as far as outside the hall stopped and drove home again", "he got as far as outside the hole stopped and drove home again", "he got as far as outside the hall stopped and drove home again", "he got his far as outside the hall stopped ...
he got as far as outside the hall stopped and drove home again
he got as far as outside the hall stopped and drove home again.
he got as far as outside the hall stopped and drove home again. he got as far as outside the hole stopped and drove home again. he got as far as outside the hall stopped and drove home again. he got his far as outside the hall stopped and drove home again.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he got as far as outside the hall stopped and drove home again', 'he got as far as outside the hall stopped and drove home again', 'he got as far as outside the hole stopped and drove home again', 'he got as far as outside the hall stopped and drove home again', 'he got his far as outside the hall stopped and drove home again']
[ "plug in technology enables developers to extend the system", "plug in technology enables developers to extend their system", "plug in technology enables developers to extend the system", "plug in technology enables developers to extend the system", "plug in technology enables developers to extend their sys...
plugin technology enables developers to extend the system
plug in technology enables developers to extend the system.
plug in technology enables developers to extend their system. plug in technology enables developers to extend the system. plug in technology enables developers to extend the system. plug in technology enables developers to extend their system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['plug in technology enables developers to extend the system', 'plug in technology enables developers to extend their system', 'plug in technology enables developers to extend the system', 'plug in technology enables developers to extend the system', 'plug in technology enables developers to extend their system']
[ "herpes gladiatorial is a skin infection", "herpes gladiatorial is a skin infection", "herpes gladiatorial is a skin infection", "herpys gladiatorial is a skin infection", "herpese gladiatorial is a skin infection" ]
herpes gladiatorial is a skin infection
herpes gladiatorial is a skin infection.
herpes gladiatorial is a skin infection. herpes gladiatorial is a skin infection. herpys gladiatorial is a skin infection. herpese gladiatorial is a skin infection.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['herpes gladiatorial is a skin infection', 'herpes gladiatorial is a skin infection', 'herpes gladiatorial is a skin infection', 'herpys gladiatorial is a skin infection', 'herpese gladiatorial is a skin infection']
[ "the drama was mach nichols", "the drama was mack nichols", "the drama was mac nichols", "the drummer was mack nichols", "the drummer was mac nichols" ]
the drummer was mike nicholls
the drama was mach nichols.
the drama was mack nichols. the drama was mac nichols. the drummer was mack nichols. the drummer was mac nichols.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the drama was mach nichols', 'the drama was mack nichols', 'the drama was mac nichols', 'the drummer was mack nichols', 'the drummer was mac nichols']
[ "players nested in bowl are still active", "players nested in bowl are still active", "players nested in the bowl as still active", "players nested in the bowl are still active", "players nested in bowl are still active" ]
players listed in bold are still active
players nested in bowl are still active.
players nested in bowl are still active. players nested in the bowl as still active. players nested in the bowl are still active. players nested in bowl are still active.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['players nested in bowl are still active', 'players nested in bowl are still active', 'players nested in the bowl as still active', 'players nested in the bowl are still active', 'players nested in bowl are still active']
[ "alternative country star chambers is a door to door of steel guitarist bill chambers", "alternative country star chambers is a daughter of steel guitarist bill chambers", "alternative country star chambers is a door to door of steel guitarist bill chambers", "alternative country star chambers is a doldor of ...
alternative country star chambers is the daughter of steel guitarist bill chambers
alternative country star chambers is a door to door of steel guitarist bill chambers.
alternative country star chambers is a daughter of steel guitarist bill chambers. alternative country star chambers is a door to door of steel guitarist bill chambers. alternative country star chambers is a doldor of steel guitarist bill chambers. alternative country star chambers is a daughter of steel guitarist bill chambers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['alternative country star chambers is a door to door of steel guitarist bill chambers', 'alternative country star chambers is a daughter of steel guitarist bill chambers', 'alternative country star chambers is a door to door of steel guitarist bill chambers', 'alternative country star chambers is a doldor of steel guitarist bill chambers', 'alternative country star chambers is a daughter of steel guitarist bill chambers']
[ "he later was promoted to executive producer and directed the show is series finale", "he later was promoted to executive producer and directed the show is series finale", "later was promoted to executive producer and directed the show is series finale", "he later was promoted to executive producer and direct...
he later was promoted to executive producer and directed the show is series finale
he later was promoted to executive producer and directed the show is series finale.
he later was promoted to executive producer and directed the show is series finale. later was promoted to executive producer and directed the show is series finale. he later was promoted to executive producer and directed the show is series finale. the later was promoted to executive producer and directed the show is series finale.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he later was promoted to executive producer and directed the show is series finale', 'he later was promoted to executive producer and directed the show is series finale', 'later was promoted to executive producer and directed the show is series finale', 'he later was promoted to executive producer and directed the show is series finale', 'the later was promoted to executive producer and directed the show is series finale']
[ "i will only work respecting far at home and results are able to further hit on engagements", "i will only offer inspecting for at home and results are able to further hit on engagements", "i will only hold aspect in front of home and results are able to further hit on engagements", "i will only offer aspect ...
typically only all aspect infra red homing missiles are able to perform head on engagements
i will only work respecting far at home and results are able to further hit on engagements.
i will only offer inspecting for at home and results are able to further hit on engagements. i will only hold aspect in front of home and results are able to further hit on engagements. i will only offer aspect in front of home and results are able to further hit on engagements. i will only hold aspect in front of the home and results are able to further hit on engagements.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i will only work respecting far at home and results are able to further hit on engagements', 'i will only offer inspecting for at home and results are able to further hit on engagements', 'i will only hold aspect in front of home and results are able to further hit on engagements', 'i will only offer aspect in front of home and results are able to further hit on engagements', 'i will only hold aspect in front of the home and results are able to further hit on engagements']
[ "however it has been used as a regional writing system for semi skilled", "however it has been used as a regional riding system for semi skilled", "however it has been used as a regional writing system for some skill", "however it has been used as a regional writing system for semi skilt", "however it has b...
however it has been used as a regional writing system for sanskrit
however it has been used as a regional writing system for semi skilled.
however it has been used as a regional riding system for semi skilled. however it has been used as a regional writing system for some skill. however it has been used as a regional writing system for semi skilt. however it has been used as a regional writing system for some skills.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however it has been used as a regional writing system for semi skilled', 'however it has been used as a regional riding system for semi skilled', 'however it has been used as a regional writing system for some skill', 'however it has been used as a regional writing system for semi skilt', 'however it has been used as a regional writing system for some skills']
[ "there are panoramic views of london to the north from the downs", "there are panoramic views of london to the north from the downs", "there are panoramic views of london to the north from the downs", "there are panoramic views of london to the north from the towns", "there are panoramic views of london to ...
there are panoramic views of london to the north from the downs
there are panoramic views of london to the north from the downs.
there are panoramic views of london to the north from the downs. there are panoramic views of london to the north from the downs. there are panoramic views of london to the north from the towns. there are panoramic views of london to the north from the downs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are panoramic views of london to the north from the downs', 'there are panoramic views of london to the north from the downs', 'there are panoramic views of london to the north from the downs', 'there are panoramic views of london to the north from the towns', 'there are panoramic views of london to the north from the downs']
[ "the boulevard borders to pantown between the film and the pedestrians", "the boulevard borders to pantown between the film and the illustrious", "the boulevard borders to pantown between the film and the monasteries", "the boulevard borders to pantone between the film and the pedestrians", "the boulevard b...
the boulevard borders japantown between fillmore and laguna streets
the boulevard borders to pantown between the film and the pedestrians.
the boulevard borders to pantown between the film and the illustrious. the boulevard borders to pantown between the film and the monasteries. the boulevard borders to pantone between the film and the pedestrians. the boulevard borders to pantone between the film and the pedestrians.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the boulevard borders to pantown between the film and the pedestrians', 'the boulevard borders to pantown between the film and the illustrious', 'the boulevard borders to pantown between the film and the monasteries', 'the boulevard borders to pantone between the film and the pedestrians', 'the boulevard borders to pantone between the film and the pedestrians']
[ "now it turned out that it had burned up over siberia", "now it turned out that it had burned up over the siberia", "now it turned out that it had burned up over the siberial", "now it turned out that it had burned up over siberial", "now it turned out that it had burned up over siberia" ]
now it turned out that it had burned up over siberia
now it turned out that it had burned up over siberia.
now it turned out that it had burned up over the siberia. now it turned out that it had burned up over the siberial. now it turned out that it had burned up over siberial. now it turned out that it had burned up over siberia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['now it turned out that it had burned up over siberia', 'now it turned out that it had burned up over the siberia', 'now it turned out that it had burned up over the siberial', 'now it turned out that it had burned up over siberial', 'now it turned out that it had burned up over siberia']
[ "i do not know what i said", "i do not know what i say now", "i do not know what i said now", "i do not know what i am saying", "i do not know what i said now" ]
i do not know what i said now
i do not know what i said.
i do not know what i say now. i do not know what i said now. i do not know what i am saying. i do not know what i said now.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i do not know what i said', 'i do not know what i say now', 'i do not know what i said now', 'i do not know what i am saying', 'i do not know what i said now']
[ "i remember james bevel and i looked across at each other smiled", "i remember james pavel and i looked across at each other smiled", "i remember james bevel and i looked across at each other smiled", "i remember james pavel and i looked across at each other smiled", "i remember james povell and i looked ac...
i remember james bevel and i looked across at each other and smiled
i remember james bevel and i looked across at each other smiled.
i remember james pavel and i looked across at each other smiled. i remember james bevel and i looked across at each other smiled. i remember james pavel and i looked across at each other smiled. i remember james povell and i looked across at each other smiled.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i remember james bevel and i looked across at each other smiled', 'i remember james pavel and i looked across at each other smiled', 'i remember james bevel and i looked across at each other smiled', 'i remember james pavel and i looked across at each other smiled', 'i remember james povell and i looked across at each other smiled']