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[ "there are two types of direct response television short form and long form", "there are two types of direct response television short form and long form", "there are two types of direct response television short form and long form", "there are two types of direct response television short form and long form", "there are two types of direct response television short form and long form" ]
there are two types of direct response television short form and long form
there are two types of direct response television short form and long form.
there are two types of direct response television short form and long form. there are two types of direct response television short form and long form. there are two types of direct response television short form and long form. there are two types of direct response television short form and long form.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are two types of direct response television short form and long form', 'there are two types of direct response television short form and long form', 'there are two types of direct response television short form and long form', 'there are two types of direct response television short form and long form', 'there are two types of direct response television short form and long form']
[ "roggan beer virtually disappeared for almost five hundred years", "rogen beer virtually disappeared for almost five hundred years", "roggin beer virtually disappeared for almost five hundred years", "rogan beer virtually disappeared for almost five hundred years", "roggen beer virtually disappeared for almost five hundred years" ]
roggenbier virtually disappeared for almost five hundred years
roggan beer virtually disappeared for almost five hundred years.
rogen beer virtually disappeared for almost five hundred years. roggin beer virtually disappeared for almost five hundred years. rogan beer virtually disappeared for almost five hundred years. roggen beer virtually disappeared for almost five hundred years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['roggan beer virtually disappeared for almost five hundred years', 'rogen beer virtually disappeared for almost five hundred years', 'roggin beer virtually disappeared for almost five hundred years', 'rogan beer virtually disappeared for almost five hundred years', 'roggen beer virtually disappeared for almost five hundred years']
[ "swallowing any amount of a brain can lead to severe symptoms", "swallowing any amount of a brain can lead to severe symptoms", "swallowing any amount of a brink can lead to severe symptoms", "swallowing any amount of abrain can lead to severe symptoms", "swallowing any amount of a brain can lead to severe symptoms" ]
swallowing any amount of abrin can lead to severe symptoms
swallowing any amount of a brain can lead to severe symptoms.
swallowing any amount of a brain can lead to severe symptoms. swallowing any amount of a brink can lead to severe symptoms. swallowing any amount of abrain can lead to severe symptoms. swallowing any amount of a brain can lead to severe symptoms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['swallowing any amount of a brain can lead to severe symptoms', 'swallowing any amount of a brain can lead to severe symptoms', 'swallowing any amount of a brink can lead to severe symptoms', 'swallowing any amount of abrain can lead to severe symptoms', 'swallowing any amount of a brain can lead to severe symptoms']
[ "monk is also well known for her modeling career", "monk is also well known for her modeling carrier", "monk is also well known for her modeling career", "monk is also well known for her modeling carrier", "monk is also well known for her modeling carrier" ]
monk is also well known for her modeling career
monk is also well known for her modeling career.
monk is also well known for her modeling carrier. monk is also well known for her modeling career. monk is also well known for her modeling carrier. monk is also well known for her modeling carrier.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['monk is also well known for her modeling career', 'monk is also well known for her modeling carrier', 'monk is also well known for her modeling career', 'monk is also well known for her modeling carrier', 'monk is also well known for her modeling carrier']
[ "mcpherson received very positive feedback despite the series attracting low ratings", "mcpherson received very positive feedback despite the series attracting low ratings", "macpherson received very positive feedback despite the series attracting low ratings", "macpherson received very positive feedback despite the series attracting low ratings", "mcpherson received very positive feedback despite the series attracting lower ratings" ]
macpherson received very positive feedback despite the series attracting low ratings
mcpherson received very positive feedback despite the series attracting low ratings.
mcpherson received very positive feedback despite the series attracting low ratings. macpherson received very positive feedback despite the series attracting low ratings. macpherson received very positive feedback despite the series attracting low ratings. mcpherson received very positive feedback despite the series attracting lower ratings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mcpherson received very positive feedback despite the series attracting low ratings', 'mcpherson received very positive feedback despite the series attracting low ratings', 'macpherson received very positive feedback despite the series attracting low ratings', 'macpherson received very positive feedback despite the series attracting low ratings', 'mcpherson received very positive feedback despite the series attracting lower ratings']
[ "livy is omission remains unexplained", "live use omission remains unexplained", "levy is omission remains unexplained", "livies omission remains unexplained", "liveview is omission remains unexplained" ]
livy is omission remains unexplained
livy is omission remains unexplained.
live use omission remains unexplained. levy is omission remains unexplained. livies omission remains unexplained. liveview is omission remains unexplained.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['livy is omission remains unexplained', 'live use omission remains unexplained', 'levy is omission remains unexplained', 'livies omission remains unexplained', 'liveview is omission remains unexplained']
[ "he also played high school football and grand crack", "he also played high school football and grand crack", "he also played high school football and ran crack", "he also played high school football and ran track", "he also played high school football and grand track" ]
he also played high school football and ran track
he also played high school football and grand crack.
he also played high school football and grand crack. he also played high school football and ran crack. he also played high school football and ran track. he also played high school football and grand track.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also played high school football and grand crack', 'he also played high school football and grand crack', 'he also played high school football and ran crack', 'he also played high school football and ran track', 'he also played high school football and grand track']
[ "then there was about two weeks discussion on their work", "then there was about two weeks discussion on their work", "then there was about two weeks discussion on their work", "then there was about two weeks discussion on their word", "then there was about two weeks discussion on their work" ]
then there was about two weeks discussion on their work
then there was about two weeks discussion on their work.
then there was about two weeks discussion on their work. then there was about two weeks discussion on their work. then there was about two weeks discussion on their word. then there was about two weeks discussion on their work.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then there was about two weeks discussion on their work', 'then there was about two weeks discussion on their work', 'then there was about two weeks discussion on their work', 'then there was about two weeks discussion on their word', 'then there was about two weeks discussion on their work']
[ "baltic was hold above the waterline while standards bow was badly damaged", "baltic was hold above the water line while standards bow was badly damaged", "baltic was hold above the waterline while standard is bow was badly damaged", "baltic was hold above the water line while standard is bow was badly damaged", "baltic was hold above the waterline while standards bow was badly damaged" ]
baltic was holed above the waterline while standard s bow was badly damaged
baltic was hold above the waterline while standards bow was badly damaged.
baltic was hold above the water line while standards bow was badly damaged. baltic was hold above the waterline while standard is bow was badly damaged. baltic was hold above the water line while standard is bow was badly damaged. baltic was hold above the waterline while standards bow was badly damaged.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['baltic was hold above the waterline while standards bow was badly damaged', 'baltic was hold above the water line while standards bow was badly damaged', 'baltic was hold above the waterline while standard is bow was badly damaged', 'baltic was hold above the water line while standard is bow was badly damaged', 'baltic was hold above the waterline while standards bow was badly damaged']
[ "apart from stable releases as published nicely bills are also publicly available", "apart from stable releases as published nicely builds are also publicly available", "apart from stable releases as published nicely bills are all still publicly available", "apart from stable releases as published nicely builds are all still publicly available", "apart from stable releases as published nicely bills are also publicly available" ]
apart from stable releases as published nightly builds are also publicly available
apart from stable releases as published nicely bills are also publicly available.
apart from stable releases as published nicely builds are also publicly available. apart from stable releases as published nicely bills are all still publicly available. apart from stable releases as published nicely builds are all still publicly available. apart from stable releases as published nicely bills are also publicly available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['apart from stable releases as published nicely bills are also publicly available', 'apart from stable releases as published nicely builds are also publicly available', 'apart from stable releases as published nicely bills are all still publicly available', 'apart from stable releases as published nicely builds are all still publicly available', 'apart from stable releases as published nicely bills are also publicly available']
[ "learner is involved in a number of high tech and philanthropic activities", "learner is involved in a number of high tech and philanthropic activities", "lerna is involved in a number of high tech and philanthropic activities", "lerna is involved in a number of high tech and philanthropic activities", "lerna is involved in a number of high tech and philanthropic activities" ]
lerner is involved in a number of high tech and philanthropic activities
learner is involved in a number of high tech and philanthropic activities.
learner is involved in a number of high tech and philanthropic activities. lerna is involved in a number of high tech and philanthropic activities. lerna is involved in a number of high tech and philanthropic activities. lerna is involved in a number of high tech and philanthropic activities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['learner is involved in a number of high tech and philanthropic activities', 'learner is involved in a number of high tech and philanthropic activities', 'lerna is involved in a number of high tech and philanthropic activities', 'lerna is involved in a number of high tech and philanthropic activities', 'lerna is involved in a number of high tech and philanthropic activities']
[ "the club is major sponsor is allied pick forks", "the club is major sponsor is allied pick forks", "the club is major sponsor is alight pick forks", "the club is major sponsor is allied pick force", "the club is major sponsor is allied pick fords" ]
the club is major sponsor is allied pickfords
the club is major sponsor is allied pick forks.
the club is major sponsor is allied pick forks. the club is major sponsor is alight pick forks. the club is major sponsor is allied pick force. the club is major sponsor is allied pick fords.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the club is major sponsor is allied pick forks', 'the club is major sponsor is allied pick forks', 'the club is major sponsor is alight pick forks', 'the club is major sponsor is allied pick force', 'the club is major sponsor is allied pick fords']
[ "york springs is directly to the southwest", "york springs is directly to the southwest", "yurk springs is directly to the southwest", "yurk springs is directly to the southwest", "york springs is directly to the south west" ]
york springs is directly to the southwest
york springs is directly to the southwest.
york springs is directly to the southwest. yurk springs is directly to the southwest. yurk springs is directly to the southwest. york springs is directly to the south west.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['york springs is directly to the southwest', 'york springs is directly to the southwest', 'yurk springs is directly to the southwest', 'yurk springs is directly to the southwest', 'york springs is directly to the south west']
[ "the station is household section maintained a registry of old persons living in the area", "the station is household section maintained a registry of old passons living in the area", "the station is household section maintained a registry of all persons living in the area", "the station is household section maintained a registry of old persons living in the area", "the station is household section maintained a registry of old persons living in the area" ]
the station is household section maintained a registry of all persons living in the area
the station is household section maintained a registry of old persons living in the area.
the station is household section maintained a registry of old passons living in the area. the station is household section maintained a registry of all persons living in the area. the station is household section maintained a registry of old persons living in the area. the station is household section maintained a registry of old persons living in the area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the station is household section maintained a registry of old persons living in the area', 'the station is household section maintained a registry of old passons living in the area', 'the station is household section maintained a registry of all persons living in the area', 'the station is household section maintained a registry of old persons living in the area', 'the station is household section maintained a registry of old persons living in the area']
[ "games was not as successful with this at times at higher office", "games was not as successful with this at times at tire office", "games was not as successful with this at times at higher office", "games was not as successful with this at times a tire office", "games was not as successful with this at times a tire office" ]
ames was not as successful with his attempts at higher office
games was not as successful with this at times at higher office.
games was not as successful with this at times at tire office. games was not as successful with this at times at higher office. games was not as successful with this at times a tire office. games was not as successful with this at times a tire office.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['games was not as successful with this at times at higher office', 'games was not as successful with this at times at tire office', 'games was not as successful with this at times at higher office', 'games was not as successful with this at times a tire office', 'games was not as successful with this at times a tire office']
[ "german was born in austin", "german was born in houston", "german was born in boston", "jerman was born in austin", "the german was born in austin" ]
germann was born in houston
german was born in austin.
german was born in houston. german was born in boston. jerman was born in austin. the german was born in austin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['german was born in austin', 'german was born in houston', 'german was born in boston', 'jerman was born in austin', 'the german was born in austin']
[ "as the second song was ambitious pedro was distinged for an extinction career", "as the second song was ambitious pedro was disting for an extinction career", "as the second song was ambitious pedro was distinged for an extension career", "as the second song was ambitious pedro was disting for an extension career", "as the second song was ambitious pedro was distinged for a restriction career" ]
as a second son with ambitions pietro was destined for an ecclesiastical career
as the second song was ambitious pedro was distinged for an extinction career.
as the second song was ambitious pedro was disting for an extinction career. as the second song was ambitious pedro was distinged for an extension career. as the second song was ambitious pedro was disting for an extension career. as the second song was ambitious pedro was distinged for a restriction career.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the second song was ambitious pedro was distinged for an extinction career', 'as the second song was ambitious pedro was disting for an extinction career', 'as the second song was ambitious pedro was distinged for an extension career', 'as the second song was ambitious pedro was disting for an extension career', 'as the second song was ambitious pedro was distinged for a restriction career']
[ "the area of the door part and boy vogue ship was out", "the area of the door part boy vogue ship was out", "the area of the door part and void vogue ship was out", "the area of the door part and boy vogue ship was after", "the area of the door part boy vogue ship was after" ]
the area of the dorpat voivodeship was app
the area of the door part and boy vogue ship was out.
the area of the door part boy vogue ship was out. the area of the door part and void vogue ship was out. the area of the door part and boy vogue ship was after. the area of the door part boy vogue ship was after.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the area of the door part and boy vogue ship was out', 'the area of the door part boy vogue ship was out', 'the area of the door part and void vogue ship was out', 'the area of the door part and boy vogue ship was after', 'the area of the door part boy vogue ship was after']
[ "transferred files are now saved on central servers", "transferred files are now saved on central servers", "transferred files are now saved on central servers", "transferred files are now saved on central servers", "transferred files are now saved on central servers" ]
transferred files are now saved on central servers
transferred files are now saved on central servers.
transferred files are now saved on central servers. transferred files are now saved on central servers. transferred files are now saved on central servers. transferred files are now saved on central servers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['transferred files are now saved on central servers', 'transferred files are now saved on central servers', 'transferred files are now saved on central servers', 'transferred files are now saved on central servers', 'transferred files are now saved on central servers']
[ "no wonder anarchists and towers make good friends", "no wonder anarchists and towers to make good friends", "no wonder anarchists and taoists make good friends", "no wonder anarchists and toutists make good friends", "no wonder anarchists and towers make good friends" ]
no wonder anarchists and taoists make good friends
no wonder anarchists and towers make good friends.
no wonder anarchists and towers to make good friends. no wonder anarchists and taoists make good friends. no wonder anarchists and toutists make good friends. no wonder anarchists and towers make good friends.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no wonder anarchists and towers make good friends', 'no wonder anarchists and towers to make good friends', 'no wonder anarchists and taoists make good friends', 'no wonder anarchists and toutists make good friends', 'no wonder anarchists and towers make good friends']
[ "some more words may offer flat rate pricing", "some more words may offer slight read pricing", "some more words may offer flat read pricing", "some more words may offer flat read pricing", "some movers may offer flat read pricing" ]
some movers may offer flat rate pricing
some more words may offer flat rate pricing.
some more words may offer slight read pricing. some more words may offer flat read pricing. some more words may offer flat read pricing. some movers may offer flat read pricing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some more words may offer flat rate pricing', 'some more words may offer slight read pricing', 'some more words may offer flat read pricing', 'some more words may offer flat read pricing', 'some movers may offer flat read pricing']
[ "the village is a port with passenger ferry services to france", "the village is a port with passenger ferry services to france", "the village is a port with passenger ferry services to fiance", "the village is a port with passenger ferry services to france", "the village is a port with passenger ferry services to france" ]
the village is a port with passenger ferry services to france
the village is a port with passenger ferry services to france.
the village is a port with passenger ferry services to france. the village is a port with passenger ferry services to fiance. the village is a port with passenger ferry services to france. the village is a port with passenger ferry services to france.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village is a port with passenger ferry services to france', 'the village is a port with passenger ferry services to france', 'the village is a port with passenger ferry services to fiance', 'the village is a port with passenger ferry services to france', 'the village is a port with passenger ferry services to france']
[ "the original routing only ran from wine gauze to west branch", "the original routing only ran from wine guys to west branch", "the original routing only ran from wineguards to west branch", "the original routing only ran from wine gals to west branch", "the original routing only ran from wine goes to west branch" ]
the original routing only ran from winegars to west branch
the original routing only ran from wine gauze to west branch.
the original routing only ran from wine guys to west branch. the original routing only ran from wineguards to west branch. the original routing only ran from wine gals to west branch. the original routing only ran from wine goes to west branch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the original routing only ran from wine gauze to west branch', 'the original routing only ran from wine guys to west branch', 'the original routing only ran from wineguards to west branch', 'the original routing only ran from wine gals to west branch', 'the original routing only ran from wine goes to west branch']
[ "the superior temporal lobe is of one also involved", "the superior temporal lobe is of an also involved", "the superior temporal lobe is often also involved", "the superior temporal lobe is off on also involved", "the superior temporal lobe is of unalso involved" ]
the superior temporal lobe is often also involved
the superior temporal lobe is of one also involved.
the superior temporal lobe is of an also involved. the superior temporal lobe is often also involved. the superior temporal lobe is off on also involved. the superior temporal lobe is of unalso involved.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the superior temporal lobe is of one also involved', 'the superior temporal lobe is of an also involved', 'the superior temporal lobe is often also involved', 'the superior temporal lobe is off on also involved', 'the superior temporal lobe is of unalso involved']
[ "desaron new york city", "the serone new york city", "desaron new york city", "desaron new york city", "the serol new york city" ]
they settled in new york city
desaron new york city.
the serone new york city. desaron new york city. desaron new york city. the serol new york city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['desaron new york city', 'the serone new york city', 'desaron new york city', 'desaron new york city', 'the serol new york city']
[ "be alert memorials homecoming usually takes place the last week of september", "beleot memorial is homecoming usually takes place the last week of september", "the layout memorials homecoming usually takes place the last week of september", "belead memorial is homecoming usually takes place the last week of september", "billiot memorial is homecoming usually takes place the last week of september" ]
beloit memorial is homecoming usually takes place the last week of september
be alert memorials homecoming usually takes place the last week of september.
beleot memorial is homecoming usually takes place the last week of september. the layout memorials homecoming usually takes place the last week of september. belead memorial is homecoming usually takes place the last week of september. billiot memorial is homecoming usually takes place the last week of september.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['be alert memorials homecoming usually takes place the last week of september', 'beleot memorial is homecoming usually takes place the last week of september', 'the layout memorials homecoming usually takes place the last week of september', 'belead memorial is homecoming usually takes place the last week of september', 'billiot memorial is homecoming usually takes place the last week of september']
[ "repeat at all times road captain wilderman", "repeat at all times road captain wilderman", "repeat at all times road captain wilder month", "repeat at all times road captain wilder month", "repeat at all times road captain wildermoth" ]
repeat at all times wrote captain wildermuth
repeat at all times road captain wilderman.
repeat at all times road captain wilderman. repeat at all times road captain wilder month. repeat at all times road captain wilder month. repeat at all times road captain wildermoth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['repeat at all times road captain wilderman', 'repeat at all times road captain wilderman', 'repeat at all times road captain wilder month', 'repeat at all times road captain wilder month', 'repeat at all times road captain wildermoth']
[ "the saint lawrence seaway passes through the lake", "the saint lawrence seaway passes through the lake", "the saint lawrence c way passes through the lake", "the saint lawrence seeway passes through the lake", "the saint lawrence see way passes through the lake" ]
the saint lawrence seaway passes through the lake
the saint lawrence seaway passes through the lake.
the saint lawrence seaway passes through the lake. the saint lawrence c way passes through the lake. the saint lawrence seeway passes through the lake. the saint lawrence see way passes through the lake.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the saint lawrence seaway passes through the lake', 'the saint lawrence seaway passes through the lake', 'the saint lawrence c way passes through the lake', 'the saint lawrence seeway passes through the lake', 'the saint lawrence see way passes through the lake']
[ "the machines require constant maintenance with some having undergone major restorations", "the machines require constant maintenance with some having undergone major restorations", "the machines require constant maintenance with some having undergone major restorations", "the machines require constant maintenance with some having undergone major restorations", "the machines require constant maintenance with some having undergone major restorations" ]
the machines require constant maintenance with some having undergone major restorations
the machines require constant maintenance with some having undergone major restorations.
the machines require constant maintenance with some having undergone major restorations. the machines require constant maintenance with some having undergone major restorations. the machines require constant maintenance with some having undergone major restorations. the machines require constant maintenance with some having undergone major restorations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the machines require constant maintenance with some having undergone major restorations', 'the machines require constant maintenance with some having undergone major restorations', 'the machines require constant maintenance with some having undergone major restorations', 'the machines require constant maintenance with some having undergone major restorations', 'the machines require constant maintenance with some having undergone major restorations']
[ "nearly all the subjects treated were continuing threads from earlier sermons", "nearly all the subject treated were continuing threads from earlier sermons", "nearly all the subjects treated were continuing threads from earlier summons", "nearly all the subject is treated were continuing threads from earlier sermons", "nearly all of the subjects treated were continuing threads from earlier sermons" ]
nearly all the subjects treated were continuing threads from earlier sermons
nearly all the subjects treated were continuing threads from earlier sermons.
nearly all the subject treated were continuing threads from earlier sermons. nearly all the subjects treated were continuing threads from earlier summons. nearly all the subject is treated were continuing threads from earlier sermons. nearly all of the subjects treated were continuing threads from earlier sermons.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nearly all the subjects treated were continuing threads from earlier sermons', 'nearly all the subject treated were continuing threads from earlier sermons', 'nearly all the subjects treated were continuing threads from earlier summons', 'nearly all the subject is treated were continuing threads from earlier sermons', 'nearly all of the subjects treated were continuing threads from earlier sermons']
[ "kamsadad is the main given to the original inhabitants of the kamsad cabin in sudan", "kamsadad is the main given to the original inhabitants of the kamsad cup in surah", "kamsarad is the main given to the original inhabitants of the kamsarad cup in surah", "kamsadad is the main given to the original inhabitants of the kamsad cabin in surah", "kamsadad is the main given to the original inhabitants of the kamsad cup in suda" ]
kamchadal is the name given to the original inhabitants of the kamchatka peninsula
kamsadad is the main given to the original inhabitants of the kamsad cabin in sudan.
kamsadad is the main given to the original inhabitants of the kamsad cup in surah. kamsarad is the main given to the original inhabitants of the kamsarad cup in surah. kamsadad is the main given to the original inhabitants of the kamsad cabin in surah. kamsadad is the main given to the original inhabitants of the kamsad cup in suda.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kamsadad is the main given to the original inhabitants of the kamsad cabin in sudan', 'kamsadad is the main given to the original inhabitants of the kamsad cup in surah', 'kamsarad is the main given to the original inhabitants of the kamsarad cup in surah', 'kamsadad is the main given to the original inhabitants of the kamsad cabin in surah', 'kamsadad is the main given to the original inhabitants of the kamsad cup in suda']
[ "fall tends to be with leaves falling in mid october", "ford tends to be with leaves falling in mid october", "fault tends to be with leaves falling in mid october", "fault tends to be with leaves falling in mid october", "fall tends to be with leaves falling in mid october" ]
fall tends to be with leaves falling in mid october
fall tends to be with leaves falling in mid october.
ford tends to be with leaves falling in mid october. fault tends to be with leaves falling in mid october. fault tends to be with leaves falling in mid october. fall tends to be with leaves falling in mid october.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fall tends to be with leaves falling in mid october', 'ford tends to be with leaves falling in mid october', 'fault tends to be with leaves falling in mid october', 'fault tends to be with leaves falling in mid october', 'fall tends to be with leaves falling in mid october']
[ "the wife eventually admitted to helping conceal scott is death", "the wife eventually admitted to helping concede scott is death", "the wife eventually admit it to helping conceal scott is death", "the wife eventually admitted to helping concedals cause death", "the wife eventually admitted to helping concedals cause death" ]
the wife eventually admitted to helping conceal scott is death
the wife eventually admitted to helping conceal scott is death.
the wife eventually admitted to helping concede scott is death. the wife eventually admit it to helping conceal scott is death. the wife eventually admitted to helping concedals cause death. the wife eventually admitted to helping concedals cause death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the wife eventually admitted to helping conceal scott is death', 'the wife eventually admitted to helping concede scott is death', 'the wife eventually admit it to helping conceal scott is death', 'the wife eventually admitted to helping concedals cause death', 'the wife eventually admitted to helping concedals cause death']
[ "this woodland is on long list to the forestry commission", "this woodland is on long list to the forestry commission", "this will land is on long list to the forestry commission", "this world land is on long list to the forestry commission", "this food land is on long list to the forestry commission" ]
this woodland is on long lease to the forestry commission
this woodland is on long list to the forestry commission.
this woodland is on long list to the forestry commission. this will land is on long list to the forestry commission. this world land is on long list to the forestry commission. this food land is on long list to the forestry commission.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this woodland is on long list to the forestry commission', 'this woodland is on long list to the forestry commission', 'this will land is on long list to the forestry commission', 'this world land is on long list to the forestry commission', 'this food land is on long list to the forestry commission']
[ "the takeover went smoothly but the occupation did not go as planned", "the takeover went smoothly but the occupation did not go as planned", "that echo went smoothly but the occupation did not go as planned", "the take over went smoothly but the occupation did not go as planned", "that echo went smoothly but the occupation did not go as planned" ]
the takeover went smoothly but the occupation did not go as planned
the takeover went smoothly but the occupation did not go as planned.
the takeover went smoothly but the occupation did not go as planned. that echo went smoothly but the occupation did not go as planned. the take over went smoothly but the occupation did not go as planned. that echo went smoothly but the occupation did not go as planned.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the takeover went smoothly but the occupation did not go as planned', 'the takeover went smoothly but the occupation did not go as planned', 'that echo went smoothly but the occupation did not go as planned', 'the take over went smoothly but the occupation did not go as planned', 'that echo went smoothly but the occupation did not go as planned']
[ "a few days later karana dies", "a few days later karana dies", "a few days later karana dies", "a few days later corona dies", "a few days later corona dies" ]
a few days later karana dies
a few days later karana dies.
a few days later karana dies. a few days later karana dies. a few days later corona dies. a few days later corona dies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a few days later karana dies', 'a few days later karana dies', 'a few days later karana dies', 'a few days later corona dies', 'a few days later corona dies']
[ "it is a state that cannot be explained in words without experience no knowledge", "it is a state that cannot be explained in words without experience no knowledge", "it is a state that cannot be explained in words without experience no knowledge", "it is a state that cannot be explained in words without experience nor knowledge", "it is a state that cannot be explained in words without experience nor knowledge" ]
it is a state that cannot be explained in words without experience no knowledge
it is a state that cannot be explained in words without experience no knowledge.
it is a state that cannot be explained in words without experience no knowledge. it is a state that cannot be explained in words without experience no knowledge. it is a state that cannot be explained in words without experience nor knowledge. it is a state that cannot be explained in words without experience nor knowledge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a state that cannot be explained in words without experience no knowledge', 'it is a state that cannot be explained in words without experience no knowledge', 'it is a state that cannot be explained in words without experience no knowledge', 'it is a state that cannot be explained in words without experience nor knowledge', 'it is a state that cannot be explained in words without experience nor knowledge']
[ "he was asked by director tim minier to write music that was epic", "he was asked by a director tim minier to write music that was epic", "he was asked by director tim minier to write music that was epa key", "he was asked by a director team minier to write music that was epic", "he was asked by director tim minier to write music that was epa key" ]
he was asked by director tim minear to write music that was epochy
he was asked by director tim minier to write music that was epic.
he was asked by a director tim minier to write music that was epic. he was asked by director tim minier to write music that was epa key. he was asked by a director team minier to write music that was epic. he was asked by director tim minier to write music that was epa key.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was asked by director tim minier to write music that was epic', 'he was asked by a director tim minier to write music that was epic', 'he was asked by director tim minier to write music that was epa key', 'he was asked by a director team minier to write music that was epic', 'he was asked by director tim minier to write music that was epa key']
[ "a cleverest easy use to fabric the hoop to a brapet or check", "a cleverest easy use to fabric the hoop to a bracket or check", "a cleverest easy use to fabric the hoop to a brapet or shape", "the clearest is used to fabric the hoop to a brapet or check", "the clearest is used to fabric the hoop to a bracket or check" ]
the clevis is used to fasten the hook to a bracket or chain
a cleverest easy use to fabric the hoop to a brapet or check.
a cleverest easy use to fabric the hoop to a bracket or check. a cleverest easy use to fabric the hoop to a brapet or shape. the clearest is used to fabric the hoop to a brapet or check. the clearest is used to fabric the hoop to a bracket or check.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a cleverest easy use to fabric the hoop to a brapet or check', 'a cleverest easy use to fabric the hoop to a bracket or check', 'a cleverest easy use to fabric the hoop to a brapet or shape', 'the clearest is used to fabric the hoop to a brapet or check', 'the clearest is used to fabric the hoop to a bracket or check']
[ "nixon claimed not to know the topic or topics discussed during the gap", "nixon claimed not to know the topic or topics discussed during the gap", "nixon claimed not to know the topic or topics discussed during the gap", "nixon claimed not to know the topic or topics discussed during the gap", "nixon claimed not to know the topic or topics discussed during the gap" ]
nixon claimed not to know the topic or topics discussed during the gap
nixon claimed not to know the topic or topics discussed during the gap.
nixon claimed not to know the topic or topics discussed during the gap. nixon claimed not to know the topic or topics discussed during the gap. nixon claimed not to know the topic or topics discussed during the gap. nixon claimed not to know the topic or topics discussed during the gap.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nixon claimed not to know the topic or topics discussed during the gap', 'nixon claimed not to know the topic or topics discussed during the gap', 'nixon claimed not to know the topic or topics discussed during the gap', 'nixon claimed not to know the topic or topics discussed during the gap', 'nixon claimed not to know the topic or topics discussed during the gap']
[ "rido is a marano term commonly used in mindano to refer to clan feuds", "rido is a marano term commonly used in mindano no to refer to clan feuds", "rido is a marano term commonly used in mindano to refer to clan feuds", "rido is a marano term commonly used in mindano to refer to clan feuds", "rido is a marano term commonly used in mindana no to refer to clan feuds" ]
rido is a maranao term commonly used in mindanao to refer to clan feuds
rido is a marano term commonly used in mindano to refer to clan feuds.
rido is a marano term commonly used in mindano no to refer to clan feuds. rido is a marano term commonly used in mindano to refer to clan feuds. rido is a marano term commonly used in mindano to refer to clan feuds. rido is a marano term commonly used in mindana no to refer to clan feuds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rido is a marano term commonly used in mindano to refer to clan feuds', 'rido is a marano term commonly used in mindano no to refer to clan feuds', 'rido is a marano term commonly used in mindano to refer to clan feuds', 'rido is a marano term commonly used in mindano to refer to clan feuds', 'rido is a marano term commonly used in mindana no to refer to clan feuds']
[ "he had great skill at shiaro is curo often painting scenes illuminated by a single candle", "he had great skill at shiaro is kuro often painting scenes illuminated by a single candle", "he had great skill at shiaro is qroh often painting scenes illuminated by a single candle", "he had great skill at shiaro is curo often painting scenes illuminated by a single candle", "he had great skill at chiaro is curo often painting scenes illuminated by a single candle" ]
he had great skill at chiaroscuro often painting scenes illuminated by a single candle
he had great skill at shiaro is curo often painting scenes illuminated by a single candle.
he had great skill at shiaro is kuro often painting scenes illuminated by a single candle. he had great skill at shiaro is qroh often painting scenes illuminated by a single candle. he had great skill at shiaro is curo often painting scenes illuminated by a single candle. he had great skill at chiaro is curo often painting scenes illuminated by a single candle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had great skill at shiaro is curo often painting scenes illuminated by a single candle', 'he had great skill at shiaro is kuro often painting scenes illuminated by a single candle', 'he had great skill at shiaro is qroh often painting scenes illuminated by a single candle', 'he had great skill at shiaro is curo often painting scenes illuminated by a single candle', 'he had great skill at chiaro is curo often painting scenes illuminated by a single candle']
[ "it is also useful because of its durability", "it is also useful because of its interior ability", "it is also useful because of its intuitively", "it is also useful because of its durability", "it is also useful because of its durability" ]
it is also useful because of its durability
it is also useful because of its durability.
it is also useful because of its interior ability. it is also useful because of its intuitively. it is also useful because of its durability. it is also useful because of its durability.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also useful because of its durability', 'it is also useful because of its interior ability', 'it is also useful because of its intuitively', 'it is also useful because of its durability', 'it is also useful because of its durability']
[ "a girl playing soccer in a green field with some trees in the background", "a girl playing soccer and a green field with some trees in the background", "a gold plank soccer and a green field with some trees in the background", "a gold plank soccer and a green field with some trees in the background", "i go playing soccer in a green field with some trees in the background" ]
a girl playing soccer in a green field with some trees in the background
a girl playing soccer in a green field with some trees in the background.
a girl playing soccer and a green field with some trees in the background. a gold plank soccer and a green field with some trees in the background. a gold plank soccer and a green field with some trees in the background. i go playing soccer in a green field with some trees in the background.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a girl playing soccer in a green field with some trees in the background', 'a girl playing soccer and a green field with some trees in the background', 'a gold plank soccer and a green field with some trees in the background', 'a gold plank soccer and a green field with some trees in the background', 'i go playing soccer in a green field with some trees in the background']
[ "castelli wrote no less than one hundred and fifty pamphlets", "castelli wrote no less than one hundred and fifty pamphlets", "castelli wrote no less than one hundred and fifty pamphlets", "castelly wrote no less than one hundred and fifty pamphlets", "castelley wrote no less than one hundred and fifty pamphlets" ]
castelli wrote no less than one hundred and fifty pamphlets
castelli wrote no less than one hundred and fifty pamphlets.
castelli wrote no less than one hundred and fifty pamphlets. castelli wrote no less than one hundred and fifty pamphlets. castelly wrote no less than one hundred and fifty pamphlets. castelley wrote no less than one hundred and fifty pamphlets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['castelli wrote no less than one hundred and fifty pamphlets', 'castelli wrote no less than one hundred and fifty pamphlets', 'castelli wrote no less than one hundred and fifty pamphlets', 'castelly wrote no less than one hundred and fifty pamphlets', 'castelley wrote no less than one hundred and fifty pamphlets']
[ "identification of orange build turns within their range is straightforward", "identification of orange build turns within their range is straightforward", "identification of orange build turns within their range is straightforward", "identification of orange build turns within their range is straight forward", "identification of orange build turns within their range is straightforward" ]
identification of orange billed terns within their range is straightforward
identification of orange build turns within their range is straightforward.
identification of orange build turns within their range is straightforward. identification of orange build turns within their range is straightforward. identification of orange build turns within their range is straight forward. identification of orange build turns within their range is straightforward.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['identification of orange build turns within their range is straightforward', 'identification of orange build turns within their range is straightforward', 'identification of orange build turns within their range is straightforward', 'identification of orange build turns within their range is straight forward', 'identification of orange build turns within their range is straightforward']
[ "it now refers to an area north of choi hong estate", "it now refers to an area north of choi hwang estate", "it now refers to an area north of choi hung estate", "it now refers to an area north of choi hwang estate", "it now refers to an area north of choi hong estate" ]
it now refers to an area north of choi hung estate
it now refers to an area north of choi hong estate.
it now refers to an area north of choi hwang estate. it now refers to an area north of choi hung estate. it now refers to an area north of choi hwang estate. it now refers to an area north of choi hong estate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it now refers to an area north of choi hong estate', 'it now refers to an area north of choi hwang estate', 'it now refers to an area north of choi hung estate', 'it now refers to an area north of choi hwang estate', 'it now refers to an area north of choi hong estate']
[ "resolution to the original tonic is also common", "resolution to the original tonic is also common", "resolution to the original tonic is also common", "resolution to the original tonic is also common", "resolution to the original tonic is also common" ]
resolution to the original tonic is also common
resolution to the original tonic is also common.
resolution to the original tonic is also common. resolution to the original tonic is also common. resolution to the original tonic is also common. resolution to the original tonic is also common.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['resolution to the original tonic is also common', 'resolution to the original tonic is also common', 'resolution to the original tonic is also common', 'resolution to the original tonic is also common', 'resolution to the original tonic is also common']
[ "the inhabitants are all lost in noise", "the inhabitants are old lost in noise", "the inhabitants are old lost in noise", "the inhabitants are all rosinoids", "the inhabitants are old rosinoids" ]
the inhabitants are called vouzinois
the inhabitants are all lost in noise.
the inhabitants are old lost in noise. the inhabitants are old lost in noise. the inhabitants are all rosinoids. the inhabitants are old rosinoids.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the inhabitants are all lost in noise', 'the inhabitants are old lost in noise', 'the inhabitants are old lost in noise', 'the inhabitants are all rosinoids', 'the inhabitants are old rosinoids']
[ "clarence is part of the scenic highlands route and is surrounded by mountains", "clarence is part of the sinek highlands route and is surrounded by mountains", "clarence is part of the scenic highlands route and is surrounded by mountains", "the clearance is part of the scenic highlands route and is surrounded by mountains", "the clearance is part of the sinek highlands route and is surrounded by mountains" ]
clarens is part of the scenic highlands route and is surrounded by mountains
clarence is part of the scenic highlands route and is surrounded by mountains.
clarence is part of the sinek highlands route and is surrounded by mountains. clarence is part of the scenic highlands route and is surrounded by mountains. the clearance is part of the scenic highlands route and is surrounded by mountains. the clearance is part of the sinek highlands route and is surrounded by mountains.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clarence is part of the scenic highlands route and is surrounded by mountains', 'clarence is part of the sinek highlands route and is surrounded by mountains', 'clarence is part of the scenic highlands route and is surrounded by mountains', 'the clearance is part of the scenic highlands route and is surrounded by mountains', 'the clearance is part of the sinek highlands route and is surrounded by mountains']
[ "helmut got his revenge by chopping off struggler is hand", "helmut got his revenge by chopping off stalker is hand", "helmut got his revenge by shopping of struggler is hand", "helmut got his revenge by shopping of stalker is hand", "helmut got his revenge by shopping of struggles hands" ]
helmut got his revenge by chopping off strucker is hand
helmut got his revenge by chopping off struggler is hand.
helmut got his revenge by chopping off stalker is hand. helmut got his revenge by shopping of struggler is hand. helmut got his revenge by shopping of stalker is hand. helmut got his revenge by shopping of struggles hands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['helmut got his revenge by chopping off struggler is hand', 'helmut got his revenge by chopping off stalker is hand', 'helmut got his revenge by shopping of struggler is hand', 'helmut got his revenge by shopping of stalker is hand', 'helmut got his revenge by shopping of struggles hands']
[ "however they could not make the finals of the cup", "however they could not make the finals of the cup", "however they could not make the finals of the cup", "however they could not make the finals of the cup", "however we could not make the finals of the cup" ]
however they could not make the finals of the cup
however they could not make the finals of the cup.
however they could not make the finals of the cup. however they could not make the finals of the cup. however they could not make the finals of the cup. however we could not make the finals of the cup.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however they could not make the finals of the cup', 'however they could not make the finals of the cup', 'however they could not make the finals of the cup', 'however they could not make the finals of the cup', 'however we could not make the finals of the cup']
[ "colombia has qualified a single fencer", "columbia has qualified a single fencer", "colombia has qualified a single fensa", "colombia has qualified a single fencer", "colombia has qualified a single fencer" ]
colombia has qualified a single fencer
colombia has qualified a single fencer.
columbia has qualified a single fencer. colombia has qualified a single fensa. colombia has qualified a single fencer. colombia has qualified a single fencer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['colombia has qualified a single fencer', 'columbia has qualified a single fencer', 'colombia has qualified a single fensa', 'colombia has qualified a single fencer', 'colombia has qualified a single fencer']
[ "they run a couple of hundred miles south into the tigris", "they run a couple of one hundred miles south into the tigris", "they run a couple of a hundred miles south into the tigris", "they run a couple of a hundred miles south into the tigris", "they run a couple of a hundred miles south into the tigris" ]
they run a couple of hundred miles south into the tigris
they run a couple of hundred miles south into the tigris.
they run a couple of one hundred miles south into the tigris. they run a couple of a hundred miles south into the tigris. they run a couple of a hundred miles south into the tigris. they run a couple of a hundred miles south into the tigris.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they run a couple of hundred miles south into the tigris', 'they run a couple of one hundred miles south into the tigris', 'they run a couple of a hundred miles south into the tigris', 'they run a couple of a hundred miles south into the tigris', 'they run a couple of a hundred miles south into the tigris']
[ "the british painter richard parks bonnington was his pupil", "the british painter richard parks bonington was his pupil", "the british painter richard parks wellington was his pupil", "the british painter richard parks bonnington was his pupil", "the british painter richard parks bonington was his pupil" ]
the british painter richard parkes bonington was his pupil
the british painter richard parks bonnington was his pupil.
the british painter richard parks bonington was his pupil. the british painter richard parks wellington was his pupil. the british painter richard parks bonnington was his pupil. the british painter richard parks bonington was his pupil.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the british painter richard parks bonnington was his pupil', 'the british painter richard parks bonington was his pupil', 'the british painter richard parks wellington was his pupil', 'the british painter richard parks bonnington was his pupil', 'the british painter richard parks bonington was his pupil']
[ "i really want to work with new people i am sure everybody feels the same", "i really want to work with new people i am sure everybody feels the same", "i really want to work with new people i am sure everybody feels the same", "i really want to work with new people i am sure everybody feels the same", "i really want to work with the new people i am sure everybody feels the same" ]
i really want to work with new people i am sure everybody feels the same
i really want to work with new people i am sure everybody feels the same.
i really want to work with new people i am sure everybody feels the same. i really want to work with new people i am sure everybody feels the same. i really want to work with new people i am sure everybody feels the same. i really want to work with the new people i am sure everybody feels the same.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i really want to work with new people i am sure everybody feels the same', 'i really want to work with new people i am sure everybody feels the same', 'i really want to work with new people i am sure everybody feels the same', 'i really want to work with new people i am sure everybody feels the same', 'i really want to work with the new people i am sure everybody feels the same']
[ "louis was forced to return to germany leaving the conflict with the papc on saturday", "lois was forced to return to germany leaving the conflict with the papc anzerur", "lois was forced to return to germany leaving the conflict with the papc on saturday", "louis was forced to return to germany leaving the conflict with the papc anzerur", "louis was forced to return to germany leaving the conflict with the papc anzerur" ]
louis was forced to return to germany leaving the conflict with the papacy unsettled
louis was forced to return to germany leaving the conflict with the papc on saturday.
lois was forced to return to germany leaving the conflict with the papc anzerur. lois was forced to return to germany leaving the conflict with the papc on saturday. louis was forced to return to germany leaving the conflict with the papc anzerur. louis was forced to return to germany leaving the conflict with the papc anzerur.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['louis was forced to return to germany leaving the conflict with the papc on saturday', 'lois was forced to return to germany leaving the conflict with the papc anzerur', 'lois was forced to return to germany leaving the conflict with the papc on saturday', 'louis was forced to return to germany leaving the conflict with the papc anzerur', 'louis was forced to return to germany leaving the conflict with the papc anzerur']
[ "he is currently professor of history at davidson college", "he is currently professor of history at davidson college", "he is currently a professor of history at davidson college", "he is currently a professor of history at davidson college", "he is currently a professor of history at davidson college" ]
he is currently professor of history at davidson college
he is currently professor of history at davidson college.
he is currently professor of history at davidson college. he is currently a professor of history at davidson college. he is currently a professor of history at davidson college. he is currently a professor of history at davidson college.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is currently professor of history at davidson college', 'he is currently professor of history at davidson college', 'he is currently a professor of history at davidson college', 'he is currently a professor of history at davidson college', 'he is currently a professor of history at davidson college']
[ "the stone bears an inscription latin but it is not unreadable", "the stone bears an inscription latin but it is not unreadable", "the stone beds and inscription latin but it is not unreadable", "the stone bears an inscription latin but it is not unreadable", "the stone bears an inscription latin but it is not unreadable" ]
the stone bears an inscription in latin but it is now unreadable
the stone bears an inscription latin but it is not unreadable.
the stone bears an inscription latin but it is not unreadable. the stone beds and inscription latin but it is not unreadable. the stone bears an inscription latin but it is not unreadable. the stone bears an inscription latin but it is not unreadable.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the stone bears an inscription latin but it is not unreadable', 'the stone bears an inscription latin but it is not unreadable', 'the stone beds and inscription latin but it is not unreadable', 'the stone bears an inscription latin but it is not unreadable', 'the stone bears an inscription latin but it is not unreadable']
[ "a girl comes up to ralph meeker i make her an info", "a girl comes up to ralph mika i make her an info", "a girl comes up to ralph mika i make her an info", "a girl comes up to ralph meek up i make her an info", "a girl comes up to ralph meeker i make her an info" ]
a girl comes up to ralph meeker i make her a nympho
a girl comes up to ralph meeker i make her an info.
a girl comes up to ralph mika i make her an info. a girl comes up to ralph mika i make her an info. a girl comes up to ralph meek up i make her an info. a girl comes up to ralph meeker i make her an info.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a girl comes up to ralph meeker i make her an info', 'a girl comes up to ralph mika i make her an info', 'a girl comes up to ralph mika i make her an info', 'a girl comes up to ralph meek up i make her an info', 'a girl comes up to ralph meeker i make her an info']
[ "he gets black to human similar moments to examine", "he gets black to human similar most examined", "he gets black to human similar as to examine", "he gets black to human similar moments to examines", "he gets black to human similar most examined" ]
he gave black two human similar molars to examine
he gets black to human similar moments to examine.
he gets black to human similar most examined. he gets black to human similar as to examine. he gets black to human similar moments to examines. he gets black to human similar most examined.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he gets black to human similar moments to examine', 'he gets black to human similar most examined', 'he gets black to human similar as to examine', 'he gets black to human similar moments to examines', 'he gets black to human similar most examined']
[ "we was born in berkeley california and raised in orinia california", "we was born in berkeley california and raised in orenya california", "we was born in berkeley california and raised in orenia california", "we was born in berkeley california and raised in orignia california", "we was born in berkeley california and raisin or in california" ]
wu was born in berkeley california and raised in orinda california
we was born in berkeley california and raised in orinia california.
we was born in berkeley california and raised in orenya california. we was born in berkeley california and raised in orenia california. we was born in berkeley california and raised in orignia california. we was born in berkeley california and raisin or in california.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we was born in berkeley california and raised in orinia california', 'we was born in berkeley california and raised in orenya california', 'we was born in berkeley california and raised in orenia california', 'we was born in berkeley california and raised in orignia california', 'we was born in berkeley california and raisin or in california']
[ "emoto is ideas appeared in the movie what the bleep to re know", "immoto is ideas appeared in the movie what the bleep to re know", "emotors ideas appeared in the movie what the bleep to re know", "emotos ideas appeared in the movie what the bleep to re know", "a moto is ideas appeared in the movie what the bleep to re know" ]
emoto is ideas appeared in the movie what the bleep do we know
emoto is ideas appeared in the movie what the bleep to re know.
immoto is ideas appeared in the movie what the bleep to re know. emotors ideas appeared in the movie what the bleep to re know. emotos ideas appeared in the movie what the bleep to re know. a moto is ideas appeared in the movie what the bleep to re know.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['emoto is ideas appeared in the movie what the bleep to re know', 'immoto is ideas appeared in the movie what the bleep to re know', 'emotors ideas appeared in the movie what the bleep to re know', 'emotos ideas appeared in the movie what the bleep to re know', 'a moto is ideas appeared in the movie what the bleep to re know']
[ "this surah is al musa bihat surah because it begins with the glorification of allah", "this surah is al musa bihat surah because it begins with the glorification of allah", "this surah is al musa bihat surah because it begins with the gratification of allah", "this surah is al musa bihat surah because it begins with the glorification of allah", "this surah is al musa bihat surah because it begins with the glorification of allah" ]
this sura is a al musabbihat sura because it begins with the glorification of allah
this surah is al musa bihat surah because it begins with the glorification of allah.
this surah is al musa bihat surah because it begins with the glorification of allah. this surah is al musa bihat surah because it begins with the gratification of allah. this surah is al musa bihat surah because it begins with the glorification of allah. this surah is al musa bihat surah because it begins with the glorification of allah.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this surah is al musa bihat surah because it begins with the glorification of allah', 'this surah is al musa bihat surah because it begins with the glorification of allah', 'this surah is al musa bihat surah because it begins with the gratification of allah', 'this surah is al musa bihat surah because it begins with the glorification of allah', 'this surah is al musa bihat surah because it begins with the glorification of allah']
[ "stanislavsky however was keeping the critical particularly of his own performance as metric", "stanislavsky however was keeping the critical particularly of his own performance as metric", "stanislavsky however is keeping the critical particularly of his own performance as metric", "stanislavsky however is keeping the critical particularly of his own performance as metric", "stanislavsky however is keeping the critical particularly of his own performance is metric" ]
stanislavski however was scathingly critical particularly of his own performance as mitrich
stanislavsky however was keeping the critical particularly of his own performance as metric.
stanislavsky however was keeping the critical particularly of his own performance as metric. stanislavsky however is keeping the critical particularly of his own performance as metric. stanislavsky however is keeping the critical particularly of his own performance as metric. stanislavsky however is keeping the critical particularly of his own performance is metric.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stanislavsky however was keeping the critical particularly of his own performance as metric', 'stanislavsky however was keeping the critical particularly of his own performance as metric', 'stanislavsky however is keeping the critical particularly of his own performance as metric', 'stanislavsky however is keeping the critical particularly of his own performance as metric', 'stanislavsky however is keeping the critical particularly of his own performance is metric']
[ "in the episode the simpson family stay in ned flanders beach house", "in the episode the simpson family stay in ned flanders beach house", "in the episode the simpson family stay in ned flanders beach house", "in the episode the simpson family stay in dead flanders beach house", "in the episode the simpson family stay in ned flanders beach house" ]
in the episode the simpson family stay in ned flanders beach house
in the episode the simpson family stay in ned flanders beach house.
in the episode the simpson family stay in ned flanders beach house. in the episode the simpson family stay in ned flanders beach house. in the episode the simpson family stay in dead flanders beach house. in the episode the simpson family stay in ned flanders beach house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the episode the simpson family stay in ned flanders beach house', 'in the episode the simpson family stay in ned flanders beach house', 'in the episode the simpson family stay in ned flanders beach house', 'in the episode the simpson family stay in dead flanders beach house', 'in the episode the simpson family stay in ned flanders beach house']
[ "the chrono star series has been featured in the science fiction book club", "the chronostar series has been featured in the science fiction book club", "the corona star series has been featured in the science fiction book club", "the chrono star series has been featured in the science fiction book club", "the corona star series has been featured in the science fiction book club" ]
the crown of stars series has been featured in the science fiction book club
the chrono star series has been featured in the science fiction book club.
the chronostar series has been featured in the science fiction book club. the corona star series has been featured in the science fiction book club. the chrono star series has been featured in the science fiction book club. the corona star series has been featured in the science fiction book club.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the chrono star series has been featured in the science fiction book club', 'the chronostar series has been featured in the science fiction book club', 'the corona star series has been featured in the science fiction book club', 'the chrono star series has been featured in the science fiction book club', 'the corona star series has been featured in the science fiction book club']
[ "a visual diff finds differences between two files by eyeball search", "a visual diff finds differences between two files by eyeball search", "a visual diff finds differences between two files by eyeball search", "a visual diff finds differences between two files by eyeball search", "a visual diff finds differences between two files by eyeball search" ]
a visual diff finds differences between two files by eyeball search
a visual diff finds differences between two files by eyeball search.
a visual diff finds differences between two files by eyeball search. a visual diff finds differences between two files by eyeball search. a visual diff finds differences between two files by eyeball search. a visual diff finds differences between two files by eyeball search.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a visual diff finds differences between two files by eyeball search', 'a visual diff finds differences between two files by eyeball search', 'a visual diff finds differences between two files by eyeball search', 'a visual diff finds differences between two files by eyeball search', 'a visual diff finds differences between two files by eyeball search']
[ "unknown to gecks the fly was actually a metallic transmitter", "unknown to gex the fly was actually a metallic transmitter", "unknown to gecks the fly was actually a metallic transmittal", "unknown to gecks the fly was actually a metallic transmunnel", "unknown to gex the fly was actually a metallic transmittal" ]
unknown to gex the fly was actually a metallic transmitter
unknown to gecks the fly was actually a metallic transmitter.
unknown to gex the fly was actually a metallic transmitter. unknown to gecks the fly was actually a metallic transmittal. unknown to gecks the fly was actually a metallic transmunnel. unknown to gex the fly was actually a metallic transmittal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unknown to gecks the fly was actually a metallic transmitter', 'unknown to gex the fly was actually a metallic transmitter', 'unknown to gecks the fly was actually a metallic transmittal', 'unknown to gecks the fly was actually a metallic transmunnel', 'unknown to gex the fly was actually a metallic transmittal']
[ "it is governed by the shikha co pakta strip", "it is governed by the shikha co pakta strait", "it is governed by the shikha co pacta strip", "it is covered by the shikha co pucked strip", "it is covered by the shikha co pakta strip" ]
it is governed by the chicago park district
it is governed by the shikha co pakta strip.
it is governed by the shikha co pakta strait. it is governed by the shikha co pacta strip. it is covered by the shikha co pucked strip. it is covered by the shikha co pakta strip.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is governed by the shikha co pakta strip', 'it is governed by the shikha co pakta strait', 'it is governed by the shikha co pacta strip', 'it is covered by the shikha co pucked strip', 'it is covered by the shikha co pakta strip']
[ "unfortunately barry did not represent australia in a test match on that tour", "unfortunately barrie did not represent australia in a test match on that tour", "unfortunately barrie did not represent australia in a test match on that tour", "unfortunately barrie did not represent australia in a test match on that tour", "unfortunately barrie did not represent australia in a test match on that tour" ]
unfortunately berry did not represent australia in a test match on that tour
unfortunately barry did not represent australia in a test match on that tour.
unfortunately barrie did not represent australia in a test match on that tour. unfortunately barrie did not represent australia in a test match on that tour. unfortunately barrie did not represent australia in a test match on that tour. unfortunately barrie did not represent australia in a test match on that tour.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['unfortunately barry did not represent australia in a test match on that tour', 'unfortunately barrie did not represent australia in a test match on that tour', 'unfortunately barrie did not represent australia in a test match on that tour', 'unfortunately barrie did not represent australia in a test match on that tour', 'unfortunately barrie did not represent australia in a test match on that tour']
[ "it was home ported in gator italy", "it was home ported in gator italy", "it was home ported in gator italy", "it was home ported in gator italy", "it was home ported in gator italy" ]
it was homeported in gaeta italy
it was home ported in gator italy.
it was home ported in gator italy. it was home ported in gator italy. it was home ported in gator italy. it was home ported in gator italy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was home ported in gator italy', 'it was home ported in gator italy', 'it was home ported in gator italy', 'it was home ported in gator italy', 'it was home ported in gator italy']
[ "at least four cover versions of this song have been recorded", "at least four cover versions of this song have been recorded", "at least four cover versions of this song have been recorded", "at least four cover versions of this song have been recorded", "at least for cover versions of this song have been recorded" ]
at least four cover versions of this song have been recorded
at least four cover versions of this song have been recorded.
at least four cover versions of this song have been recorded. at least four cover versions of this song have been recorded. at least four cover versions of this song have been recorded. at least for cover versions of this song have been recorded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at least four cover versions of this song have been recorded', 'at least four cover versions of this song have been recorded', 'at least four cover versions of this song have been recorded', 'at least four cover versions of this song have been recorded', 'at least for cover versions of this song have been recorded']
[ "what is again available along the way", "what is the gain available along the way", "what is a gain available along the way", "what is again available along the way", "what is again available along the way" ]
water is again available along the way
what is again available along the way.
what is the gain available along the way. what is a gain available along the way. what is again available along the way. what is again available along the way.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what is again available along the way', 'what is the gain available along the way', 'what is a gain available along the way', 'what is again available along the way', 'what is again available along the way']
[ "the development cycle is remarkably rapid", "did the development cycle was remarkably rapid", "did the development cycle is remarkably rapid", "did the development cycle is remarkably rapid", "the development cycle is remarkably rapid" ]
the development cycle was remarkably rapid
the development cycle is remarkably rapid.
did the development cycle was remarkably rapid. did the development cycle is remarkably rapid. did the development cycle is remarkably rapid. the development cycle is remarkably rapid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the development cycle is remarkably rapid', 'did the development cycle was remarkably rapid', 'did the development cycle is remarkably rapid', 'did the development cycle is remarkably rapid', 'the development cycle is remarkably rapid']
[ "chalk also features services like blogs photo galleries and discussion forums", "chalk also features services like blogs photo galleries and discussion forums", "choc also features services like blogs photo galleries and discussion forums", "choc also features services like blogs photo galleries and discussion forums", "choc also features services like blogs photo galleries and discussion forums" ]
chowk also features services like blogs photo galleries and discussion forums
chalk also features services like blogs photo galleries and discussion forums.
chalk also features services like blogs photo galleries and discussion forums. choc also features services like blogs photo galleries and discussion forums. choc also features services like blogs photo galleries and discussion forums. choc also features services like blogs photo galleries and discussion forums.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chalk also features services like blogs photo galleries and discussion forums', 'chalk also features services like blogs photo galleries and discussion forums', 'choc also features services like blogs photo galleries and discussion forums', 'choc also features services like blogs photo galleries and discussion forums', 'choc also features services like blogs photo galleries and discussion forums']
[ "he graduated in physics from the karzag state university", "he graduated in physics from the carzac state university", "he graduated in physics from the karzag state university", "he graduated in physics from the carsox state university", "he graduated in physics from the carzaug state university" ]
he graduated in physics from the kyrgyz state university
he graduated in physics from the karzag state university.
he graduated in physics from the carzac state university. he graduated in physics from the karzag state university. he graduated in physics from the carsox state university. he graduated in physics from the carzaug state university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he graduated in physics from the karzag state university', 'he graduated in physics from the carzac state university', 'he graduated in physics from the karzag state university', 'he graduated in physics from the carsox state university', 'he graduated in physics from the carzaug state university']
[ "the eerie canal pauses through the town incorporating part of the cloud river", "the eerie canal pauses through the town incorporating part of the clyder river", "the eerie canal pauses through the town incorporating part of the clyde river", "the eerie canal passes through the town incorporating part of the cloud river", "the erie canal passes through the town incorporating part of the clyder river" ]
the erie canal passes through the town incorporating part of the clyde river
the eerie canal pauses through the town incorporating part of the cloud river.
the eerie canal pauses through the town incorporating part of the clyder river. the eerie canal pauses through the town incorporating part of the clyde river. the eerie canal passes through the town incorporating part of the cloud river. the erie canal passes through the town incorporating part of the clyder river.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the eerie canal pauses through the town incorporating part of the cloud river', 'the eerie canal pauses through the town incorporating part of the clyder river', 'the eerie canal pauses through the town incorporating part of the clyde river', 'the eerie canal passes through the town incorporating part of the cloud river', 'the erie canal passes through the town incorporating part of the clyder river']
[ "later his family moved to thessaloniki", "later his family moved to thessaloniki", "later his family moved to thaisaloniki", "later his family moved to thessa loniki", "later his family moved to thessa loneke" ]
later his family moved to thessaloniki
later his family moved to thessaloniki.
later his family moved to thessaloniki. later his family moved to thaisaloniki. later his family moved to thessa loniki. later his family moved to thessa loneke.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later his family moved to thessaloniki', 'later his family moved to thessaloniki', 'later his family moved to thaisaloniki', 'later his family moved to thessa loniki', 'later his family moved to thessa loneke']
[ "this body of ministers of the crown is the cabinet", "this body of ministers of the crown is the cabinet", "this body of ministers of the crown is the cabinet", "this body of ministers of the crown is the cabinet", "this body of ministers of the crown is the cabinet" ]
this body of ministers of the crown is the cabinet
this body of ministers of the crown is the cabinet.
this body of ministers of the crown is the cabinet. this body of ministers of the crown is the cabinet. this body of ministers of the crown is the cabinet. this body of ministers of the crown is the cabinet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this body of ministers of the crown is the cabinet', 'this body of ministers of the crown is the cabinet', 'this body of ministers of the crown is the cabinet', 'this body of ministers of the crown is the cabinet', 'this body of ministers of the crown is the cabinet']
[ "it was designed to institute extra protective measures for the state is timberlands", "it was designed to institute extra protective measures for the state is timberlands", "it was designed to institute extra protective measures for the state is timberlands", "it was designed to institute extra protective measures for the state is timbulans", "it was designed to institute extra protective measures for the state is timberlands" ]
it was designed to institute extra protective measures for the state is timberlands
it was designed to institute extra protective measures for the state is timberlands.
it was designed to institute extra protective measures for the state is timberlands. it was designed to institute extra protective measures for the state is timberlands. it was designed to institute extra protective measures for the state is timbulans. it was designed to institute extra protective measures for the state is timberlands.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was designed to institute extra protective measures for the state is timberlands', 'it was designed to institute extra protective measures for the state is timberlands', 'it was designed to institute extra protective measures for the state is timberlands', 'it was designed to institute extra protective measures for the state is timbulans', 'it was designed to institute extra protective measures for the state is timberlands']
[ "bureaucratic delays by a higher and motor carrier regulators doomed to the service", "bureaucratic delays by ohio and mocha carrier regulators doomed the service", "bureaucratic delays by a higher and motor carrier regulators doomed the service", "bureaucratic delays by ohio and mocha carrier regulators doomed the service", "bureaucratic delays by a higher and motor carrier regulators doomed the service" ]
bureaucratic delays by ohio motor carrier regulators doomed the service
bureaucratic delays by a higher and motor carrier regulators doomed to the service.
bureaucratic delays by ohio and mocha carrier regulators doomed the service. bureaucratic delays by a higher and motor carrier regulators doomed the service. bureaucratic delays by ohio and mocha carrier regulators doomed the service. bureaucratic delays by a higher and motor carrier regulators doomed the service.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bureaucratic delays by a higher and motor carrier regulators doomed to the service', 'bureaucratic delays by ohio and mocha carrier regulators doomed the service', 'bureaucratic delays by a higher and motor carrier regulators doomed the service', 'bureaucratic delays by ohio and mocha carrier regulators doomed the service', 'bureaucratic delays by a higher and motor carrier regulators doomed the service']
[ "blackwood was born nina kingkina in springfield massachusetts", "blackwood was born nina kinkiner in springfield massachusetts", "blackwood was born nina kinkena in springfield massachusetts", "blackwood was born nena kingkina in springfield massachusetts", "blackwood was born nina kinkinner in springfield massachusetts" ]
blackwood was born nina kinckiner in springfield massachusetts
blackwood was born nina kingkina in springfield massachusetts.
blackwood was born nina kinkiner in springfield massachusetts. blackwood was born nina kinkena in springfield massachusetts. blackwood was born nena kingkina in springfield massachusetts. blackwood was born nina kinkinner in springfield massachusetts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['blackwood was born nina kingkina in springfield massachusetts', 'blackwood was born nina kinkiner in springfield massachusetts', 'blackwood was born nina kinkena in springfield massachusetts', 'blackwood was born nena kingkina in springfield massachusetts', 'blackwood was born nina kinkinner in springfield massachusetts']
[ "as the colony population grew two other courts were constructed", "as the colony population grew two other quartz were constructed", "as the colony population grew two other quads were constructed", "as the colony population grew two other quarts were constructed", "as the colony population grew two other courts were constructed" ]
as the colony is population grew two other courts were constructed
as the colony population grew two other courts were constructed.
as the colony population grew two other quartz were constructed. as the colony population grew two other quads were constructed. as the colony population grew two other quarts were constructed. as the colony population grew two other courts were constructed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the colony population grew two other courts were constructed', 'as the colony population grew two other quartz were constructed', 'as the colony population grew two other quads were constructed', 'as the colony population grew two other quarts were constructed', 'as the colony population grew two other courts were constructed']
[ "metametric oscillators are used in many applications", "better metric oscillators are used in many applications", "parametric oscillators are used in many applications", "metametric oscillators are used in many applications", "parametric oscillators are used in many applications" ]
parametric oscillators are used in many applications
metametric oscillators are used in many applications.
better metric oscillators are used in many applications. parametric oscillators are used in many applications. metametric oscillators are used in many applications. parametric oscillators are used in many applications.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['metametric oscillators are used in many applications', 'better metric oscillators are used in many applications', 'parametric oscillators are used in many applications', 'metametric oscillators are used in many applications', 'parametric oscillators are used in many applications']
[ "the rootlessness he exhibited in the military extended to his home", "the ruthlessness he exhibited in the military extended to his home", "the ruthless ness he exhibited in the military extended to his home", "the rootlessness he exhibited in the military extended to his home", "the rootlessness he exhibited in the military extended to his home" ]
the ruthlessness he exhibited in the military extended to his home
the rootlessness he exhibited in the military extended to his home.
the ruthlessness he exhibited in the military extended to his home. the ruthless ness he exhibited in the military extended to his home. the rootlessness he exhibited in the military extended to his home. the rootlessness he exhibited in the military extended to his home.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the rootlessness he exhibited in the military extended to his home', 'the ruthlessness he exhibited in the military extended to his home', 'the ruthless ness he exhibited in the military extended to his home', 'the rootlessness he exhibited in the military extended to his home', 'the rootlessness he exhibited in the military extended to his home']
[ "since then he has become known as the father of the university", "since then he has become known as the father of the university", "since then he has become known as the father of the university", "since then he is become known as the father of the university", "since then he is become known as the father of the university" ]
since then he has become known as the father of the university
since then he has become known as the father of the university.
since then he has become known as the father of the university. since then he has become known as the father of the university. since then he is become known as the father of the university. since then he is become known as the father of the university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since then he has become known as the father of the university', 'since then he has become known as the father of the university', 'since then he has become known as the father of the university', 'since then he is become known as the father of the university', 'since then he is become known as the father of the university']
[ "the enforcement of the copyright law is varies from case to case", "the enforcement of the copyright laws varies from case to case", "the enforcement of the copyright law varies from case to case", "the enforcement of the copyright law is varies from case to case", "the enforcement of the copyright law is varies from case to case" ]
the enforcement of the copyright laws varies from case to case
the enforcement of the copyright law is varies from case to case.
the enforcement of the copyright laws varies from case to case. the enforcement of the copyright law varies from case to case. the enforcement of the copyright law is varies from case to case. the enforcement of the copyright law is varies from case to case.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the enforcement of the copyright law is varies from case to case', 'the enforcement of the copyright laws varies from case to case', 'the enforcement of the copyright law varies from case to case', 'the enforcement of the copyright law is varies from case to case', 'the enforcement of the copyright law is varies from case to case']
[ "instruments made of stiffer plastic brass or wood are higher q", "instruments made of stiffer plastic brass or wood are higher q", "instruments made of stiffer plastic brass or wood are higher q", "instruments made of stiffer plastic brass or wood are higher q", "instruments made of stiffer plastic brass or wood are higher queue" ]
instruments made of stiffer plastic brass or wood are higher q
instruments made of stiffer plastic brass or wood are higher q.
instruments made of stiffer plastic brass or wood are higher q. instruments made of stiffer plastic brass or wood are higher q. instruments made of stiffer plastic brass or wood are higher q. instruments made of stiffer plastic brass or wood are higher queue.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instruments made of stiffer plastic brass or wood are higher q', 'instruments made of stiffer plastic brass or wood are higher q', 'instruments made of stiffer plastic brass or wood are higher q', 'instruments made of stiffer plastic brass or wood are higher q', 'instruments made of stiffer plastic brass or wood are higher queue']
[ "so now faces sadly is variable different", "turn off faces sadly it is variable different", "turn off faces sadly it is variable differently", "so now faces sadly it is variable different", "so now faces hardly is variable different" ]
chernoff faces handle each variable differently
so now faces sadly is variable different.
turn off faces sadly it is variable different. turn off faces sadly it is variable differently. so now faces sadly it is variable different. so now faces hardly is variable different.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so now faces sadly is variable different', 'turn off faces sadly it is variable different', 'turn off faces sadly it is variable differently', 'so now faces sadly it is variable different', 'so now faces hardly is variable different']
[ "themselves but this one excluded any contributions from lay law", "themselves but this one excluded any contributions from lay law", "themselves but this one excluded any contribution from lay law", "themselves but this one excluded any contributions from leilor", "themselves but this one excluded any contributions from lay law" ]
themselves but this one excluded any contributions from lay law
themselves but this one excluded any contributions from lay law.
themselves but this one excluded any contributions from lay law. themselves but this one excluded any contribution from lay law. themselves but this one excluded any contributions from leilor. themselves but this one excluded any contributions from lay law.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['themselves but this one excluded any contributions from lay law', 'themselves but this one excluded any contributions from lay law', 'themselves but this one excluded any contribution from lay law', 'themselves but this one excluded any contributions from leilor', 'themselves but this one excluded any contributions from lay law']
[ "he discovered thomas hunt morgan is the physical basis of heredity", "he discovered thomas hunt morgan is the physical basis of heridity", "he discovered thomas hunt morgan is physical basis of heredity", "he discovered thomas hunt morgan is the physical basis of heredity", "he discovered thomas hunt morgan is the physical basis of heritage" ]
he discovered thomas hunt morgan is the physical basis of heredity
he discovered thomas hunt morgan is the physical basis of heredity.
he discovered thomas hunt morgan is the physical basis of heridity. he discovered thomas hunt morgan is physical basis of heredity. he discovered thomas hunt morgan is the physical basis of heredity. he discovered thomas hunt morgan is the physical basis of heritage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he discovered thomas hunt morgan is the physical basis of heredity', 'he discovered thomas hunt morgan is the physical basis of heridity', 'he discovered thomas hunt morgan is physical basis of heredity', 'he discovered thomas hunt morgan is the physical basis of heredity', 'he discovered thomas hunt morgan is the physical basis of heritage']
[ "is out of sorts", "he is out of sorts", "he is out of sorts", "is out of sorts", "he is out of sorts" ]
he is out of sorts
is out of sorts.
he is out of sorts. he is out of sorts. is out of sorts. he is out of sorts.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is out of sorts', 'he is out of sorts', 'he is out of sorts', 'is out of sorts', 'he is out of sorts']
[ "we arrived at the house on a saturday", "we arrived at the house on our saturday", "we arrived at his house on a saturday", "we arrived at the house on a saturday", "we arrived at the house on saturday" ]
we arrived at his house on a saturday
we arrived at the house on a saturday.
we arrived at the house on our saturday. we arrived at his house on a saturday. we arrived at the house on a saturday. we arrived at the house on saturday.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we arrived at the house on a saturday', 'we arrived at the house on our saturday', 'we arrived at his house on a saturday', 'we arrived at the house on a saturday', 'we arrived at the house on saturday']
[ "where is to the second strongest cigarette brand in germany", "where is to the second strongest cigarette brand in germany", "where is to the second strongest cigarette branded germany", "where is the second strongest cigarette brand in germany", "where is to the second strongest cigarette branded germany" ]
west is the second strongest cigarette brand in germany
where is to the second strongest cigarette brand in germany.
where is to the second strongest cigarette brand in germany. where is to the second strongest cigarette branded germany. where is the second strongest cigarette brand in germany. where is to the second strongest cigarette branded germany.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['where is to the second strongest cigarette brand in germany', 'where is to the second strongest cigarette brand in germany', 'where is to the second strongest cigarette branded germany', 'where is the second strongest cigarette brand in germany', 'where is to the second strongest cigarette branded germany']
[ "the best of his novels are those that deal with provincial and country life", "the best of his novels are those that deal with provincial and consulife", "the best of his novels are those that deal with provincial and country life", "the best of his novels are those that deal with provincial and country live", "the best of his novels are those that deal with provincial and country life" ]
the best of his novels are those that deal with provincial and country life
the best of his novels are those that deal with provincial and country life.
the best of his novels are those that deal with provincial and consulife. the best of his novels are those that deal with provincial and country life. the best of his novels are those that deal with provincial and country live. the best of his novels are those that deal with provincial and country life.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the best of his novels are those that deal with provincial and country life', 'the best of his novels are those that deal with provincial and consulife', 'the best of his novels are those that deal with provincial and country life', 'the best of his novels are those that deal with provincial and country live', 'the best of his novels are those that deal with provincial and country life']
[ "the author director peter hall says james franks amongst the great english classical actresses", "theator director peter hall says james franks amongst the great english classical actresses", "theater director peter hall says james franks amongst the great english classical actresses", "theator director peter hall says james franks amongst the great english classical actresses", "theater director peter hall says james franks amongst the great english classical actresses" ]
theater director peter hall says james ranks amongst the great english classical actresses
the author director peter hall says james franks amongst the great english classical actresses.
theator director peter hall says james franks amongst the great english classical actresses. theater director peter hall says james franks amongst the great english classical actresses. theator director peter hall says james franks amongst the great english classical actresses. theater director peter hall says james franks amongst the great english classical actresses.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the author director peter hall says james franks amongst the great english classical actresses', 'theator director peter hall says james franks amongst the great english classical actresses', 'theater director peter hall says james franks amongst the great english classical actresses', 'theator director peter hall says james franks amongst the great english classical actresses', 'theater director peter hall says james franks amongst the great english classical actresses']
[ "rtl blood gas analysis and other tests are required to separate the main causes", "rto blood gas analysis and other tests are required to separate the main causes", "rtl blood gas analysis and other tests are required to separate the main causes", "rtl blood gas analysis and other tests are required to separate the main causes", "rtl blood gas analysis and other tests are required to separate the main causes" ]
arterial blood gas analysis and other tests are required to separate the main causes
rtl blood gas analysis and other tests are required to separate the main causes.
rto blood gas analysis and other tests are required to separate the main causes. rtl blood gas analysis and other tests are required to separate the main causes. rtl blood gas analysis and other tests are required to separate the main causes. rtl blood gas analysis and other tests are required to separate the main causes.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rtl blood gas analysis and other tests are required to separate the main causes', 'rto blood gas analysis and other tests are required to separate the main causes', 'rtl blood gas analysis and other tests are required to separate the main causes', 'rtl blood gas analysis and other tests are required to separate the main causes', 'rtl blood gas analysis and other tests are required to separate the main causes']
[ "life sent himself calls it his favorite solo", "life is on himself calls it his favorite solo", "life sent himself calls it his favorite so though", "life sent himself calls it his favorite solo", "lifeson himself calls it his favorite solo" ]
lifeson himself calls it his favorite solo
life sent himself calls it his favorite solo.
life is on himself calls it his favorite solo. life sent himself calls it his favorite so though. life sent himself calls it his favorite solo. lifeson himself calls it his favorite solo.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['life sent himself calls it his favorite solo', 'life is on himself calls it his favorite solo', 'life sent himself calls it his favorite so though', 'life sent himself calls it his favorite solo', 'lifeson himself calls it his favorite solo']
[ "the origins of happy numbers is not clear", "the origins of happy numbers are not clear", "the origins of happy numbers is not clear", "the origins of happy numbers are not clear", "the urgent of happy numbers is not clear" ]
the origin of happy numbers is not clear
the origins of happy numbers is not clear.
the origins of happy numbers are not clear. the origins of happy numbers is not clear. the origins of happy numbers are not clear. the urgent of happy numbers is not clear.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the origins of happy numbers is not clear', 'the origins of happy numbers are not clear', 'the origins of happy numbers is not clear', 'the origins of happy numbers are not clear', 'the urgent of happy numbers is not clear']