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[ "it stretched to the present day side of redfern railway station", "it is stretched to the present day side of redfern railway station", "it is stretched to the present day side of redfern railway station", "it stretched to the present day site of redfern railway station", "it stretched to the present day side of redfern railway station" ]
it stretched to the present day site of redfern railway station
it stretched to the present day side of redfern railway station.
it is stretched to the present day side of redfern railway station. it is stretched to the present day side of redfern railway station. it stretched to the present day site of redfern railway station. it stretched to the present day side of redfern railway station.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it stretched to the present day side of redfern railway station', 'it is stretched to the present day side of redfern railway station', 'it is stretched to the present day side of redfern railway station', 'it stretched to the present day site of redfern railway station', 'it stretched to the present day side of redfern railway station']
[ "but i am not going to do it", "i am not going to do it", "but i am not going to do it", "but i am not going to do it", "i am not going to do it" ]
ah but i am not going to do it
but i am not going to do it.
i am not going to do it. but i am not going to do it. but i am not going to do it. i am not going to do it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but i am not going to do it', 'i am not going to do it', 'but i am not going to do it', 'but i am not going to do it', 'i am not going to do it']
[ "c clappen junction", "c clappin junction", "c clapping junction", "c clapton junction", "c clappen junction" ]
see clapham junction
c clappen junction.
c clappin junction. c clapping junction. c clapton junction. c clappen junction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['c clappen junction', 'c clappin junction', 'c clapping junction', 'c clapton junction', 'c clappen junction']
[ "applying the torque to fasteners is commonly achieved using a torque wrench", "applying the talk to fasteners is commonly achieved using a torque wrench", "applying the talk to fasteners is commonly achieved using a torque wrench", "applying the torque to fasteners is commonly achieved using a torque wrench", "applying the talk to fasteners is commonly achieved using a torque wrench" ]
applying the torque to fasteners is commonly achieved using a torque wrench
applying the torque to fasteners is commonly achieved using a torque wrench.
applying the talk to fasteners is commonly achieved using a torque wrench. applying the talk to fasteners is commonly achieved using a torque wrench. applying the torque to fasteners is commonly achieved using a torque wrench. applying the talk to fasteners is commonly achieved using a torque wrench.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['applying the torque to fasteners is commonly achieved using a torque wrench', 'applying the talk to fasteners is commonly achieved using a torque wrench', 'applying the talk to fasteners is commonly achieved using a torque wrench', 'applying the torque to fasteners is commonly achieved using a torque wrench', 'applying the talk to fasteners is commonly achieved using a torque wrench']
[ "the use of one page woods can be hazardous if breathing is impede", "the use of one page hoods can be hazardous if breathing is impede", "the use of one page hoods can be thousands if breathing is impede", "the use of bondage woods can be hazardous if breathing is impede", "the use of one page woods can be thousands if breathing is impede" ]
the use of bondage hoods can be hazardous if breathing is impeded
the use of one page woods can be hazardous if breathing is impede.
the use of one page hoods can be hazardous if breathing is impede. the use of one page hoods can be thousands if breathing is impede. the use of bondage woods can be hazardous if breathing is impede. the use of one page woods can be thousands if breathing is impede.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the use of one page woods can be hazardous if breathing is impede', 'the use of one page hoods can be hazardous if breathing is impede', 'the use of one page hoods can be thousands if breathing is impede', 'the use of bondage woods can be hazardous if breathing is impede', 'the use of one page woods can be thousands if breathing is impede']
[ "the latter was more common in general usage", "the latter was more common in general usage", "the latter was more common in general usage", "the latter was more common in general usage", "the latter was more common in general usage" ]
the latter was more common in general usage
the latter was more common in general usage.
the latter was more common in general usage. the latter was more common in general usage. the latter was more common in general usage. the latter was more common in general usage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the latter was more common in general usage', 'the latter was more common in general usage', 'the latter was more common in general usage', 'the latter was more common in general usage', 'the latter was more common in general usage']
[ "she was also the founding host of the arts tonight", "she was also the founding host of the arts tonight", "she was also the founding host of the arts tonight", "she was also the founding host of the arts tonight", "she was also the founding host of the arts tonight" ]
she was also the founding host of the arts tonight
she was also the founding host of the arts tonight.
she was also the founding host of the arts tonight. she was also the founding host of the arts tonight. she was also the founding host of the arts tonight. she was also the founding host of the arts tonight.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was also the founding host of the arts tonight', 'she was also the founding host of the arts tonight', 'she was also the founding host of the arts tonight', 'she was also the founding host of the arts tonight', 'she was also the founding host of the arts tonight']
[ "he was a versatile loose forward in a former old black captain", "he was a versatile loose forward in a former all black captain", "he was a versatile loose forward in a former old black captain", "he was a versatile loose forward in a former old black captain", "he was a versatile loose forward in a former old black captain" ]
he was a versatile loose forward and a former all black captain
he was a versatile loose forward in a former old black captain.
he was a versatile loose forward in a former all black captain. he was a versatile loose forward in a former old black captain. he was a versatile loose forward in a former old black captain. he was a versatile loose forward in a former old black captain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a versatile loose forward in a former old black captain', 'he was a versatile loose forward in a former all black captain', 'he was a versatile loose forward in a former old black captain', 'he was a versatile loose forward in a former old black captain', 'he was a versatile loose forward in a former old black captain']
[ "his fourth son edward was a nurtured lawyer and antiquary", "his fourth son edward was a noted lawyer and antiquary", "his fourth son edward was a nurtured lawyer and antiquory", "his fourth son edward was a nurtured lawyer and antiquary", "his fourth son edward was a noted lawyer and anti query" ]
his fourth son edward was a noted lawyer and antiquary
his fourth son edward was a nurtured lawyer and antiquary.
his fourth son edward was a noted lawyer and antiquary. his fourth son edward was a nurtured lawyer and antiquory. his fourth son edward was a nurtured lawyer and antiquary. his fourth son edward was a noted lawyer and anti query.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his fourth son edward was a nurtured lawyer and antiquary', 'his fourth son edward was a noted lawyer and antiquary', 'his fourth son edward was a nurtured lawyer and antiquory', 'his fourth son edward was a nurtured lawyer and antiquary', 'his fourth son edward was a noted lawyer and anti query']
[ "halford failed to establish himself at reading and played only once more", "halford failed to establish himself at reading and played only once more", "halford failed to establish himself at redding and played only once more", "howford failed to establish himself at reading and played only once more", "howford failed to establish himself at reading and played only once more" ]
halford failed to establish himself at reading and played only once more
halford failed to establish himself at reading and played only once more.
halford failed to establish himself at reading and played only once more. halford failed to establish himself at redding and played only once more. howford failed to establish himself at reading and played only once more. howford failed to establish himself at reading and played only once more.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['halford failed to establish himself at reading and played only once more', 'halford failed to establish himself at reading and played only once more', 'halford failed to establish himself at redding and played only once more', 'howford failed to establish himself at reading and played only once more', 'howford failed to establish himself at reading and played only once more']
[ "this algebra is not worthy as containing the first systematic use of formulae", "this algebra is not worthy as containing the first systematic use of formulae", "this algebra is not worthy as containing the first systematic use of formulae", "this algebra is noteworthy as containing the first systematic use of formulae", "this algebra is not worthy as containing the first systematic use of formulae" ]
this algebra is noteworthy as containing the first systematic use of formulae
this algebra is not worthy as containing the first systematic use of formulae.
this algebra is not worthy as containing the first systematic use of formulae. this algebra is not worthy as containing the first systematic use of formulae. this algebra is noteworthy as containing the first systematic use of formulae. this algebra is not worthy as containing the first systematic use of formulae.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this algebra is not worthy as containing the first systematic use of formulae', 'this algebra is not worthy as containing the first systematic use of formulae', 'this algebra is not worthy as containing the first systematic use of formulae', 'this algebra is noteworthy as containing the first systematic use of formulae', 'this algebra is not worthy as containing the first systematic use of formulae']
[ "the range roughly delineates the summer position of the arctic front", "the range roughly delineates the summer position of the arctic front", "the range roughly delineates the summer position of the arctic front", "the range roughly delineates the summer position of the arptic front", "the range roughly delineates the summer position of the arptick front" ]
the range roughly delineates the summer position of the arctic front
the range roughly delineates the summer position of the arctic front.
the range roughly delineates the summer position of the arctic front. the range roughly delineates the summer position of the arctic front. the range roughly delineates the summer position of the arptic front. the range roughly delineates the summer position of the arptick front.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the range roughly delineates the summer position of the arctic front', 'the range roughly delineates the summer position of the arctic front', 'the range roughly delineates the summer position of the arctic front', 'the range roughly delineates the summer position of the arptic front', 'the range roughly delineates the summer position of the arptick front']
[ "farrick is song really executes him with the great truncheon", "farrick is song really executes him with the great truncion", "ferryk is song really executes him with the great truncheon", "ferryk is song really executes him with the great truncion", "ferric is song really executes him with the great truncion" ]
feric summarily executes him with the great truncheon
farrick is song really executes him with the great truncheon.
farrick is song really executes him with the great truncion. ferryk is song really executes him with the great truncheon. ferryk is song really executes him with the great truncion. ferric is song really executes him with the great truncion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['farrick is song really executes him with the great truncheon', 'farrick is song really executes him with the great truncion', 'ferryk is song really executes him with the great truncheon', 'ferryk is song really executes him with the great truncion', 'ferric is song really executes him with the great truncion']
[ "the cathedral choirs have also performed many times with the louisville orchestra", "the cathedral choirs have also performed many times with the louisville orchestra", "the cathedral choirs have also performed many times with the louisville orchestra", "the cathedral choirs have also performed many times with the louisville orchestra", "the cathedral choirs have also performed many times with the louis ville orchestra" ]
the cathedral choirs have also performed many times with the louisville orchestra
the cathedral choirs have also performed many times with the louisville orchestra.
the cathedral choirs have also performed many times with the louisville orchestra. the cathedral choirs have also performed many times with the louisville orchestra. the cathedral choirs have also performed many times with the louisville orchestra. the cathedral choirs have also performed many times with the louis ville orchestra.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cathedral choirs have also performed many times with the louisville orchestra', 'the cathedral choirs have also performed many times with the louisville orchestra', 'the cathedral choirs have also performed many times with the louisville orchestra', 'the cathedral choirs have also performed many times with the louisville orchestra', 'the cathedral choirs have also performed many times with the louis ville orchestra']
[ "subsequently medina and his supporters maintained a low profile", "subsequently medina and his supporters maintain the low profile", "subsequently medina and his supporters maintained a low profile", "subsequently medina and his supporters maintained a low profile", "subsequently medina and his supporters maintained a low profile" ]
subsequently medina and his supporters maintained a low profile
subsequently medina and his supporters maintained a low profile.
subsequently medina and his supporters maintain the low profile. subsequently medina and his supporters maintained a low profile. subsequently medina and his supporters maintained a low profile. subsequently medina and his supporters maintained a low profile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['subsequently medina and his supporters maintained a low profile', 'subsequently medina and his supporters maintain the low profile', 'subsequently medina and his supporters maintained a low profile', 'subsequently medina and his supporters maintained a low profile', 'subsequently medina and his supporters maintained a low profile']
[ "sanders was reelected three times defeating both democratic and republican candidates", "sanders was reelected three times defeating both democratic and republican candidates", "sanders was reelected three times defeating both democratic and republican candidates", "sanders was re elected three times defeating both democratic and republican candidates", "sanders was re elected three times defeating both democratic and republican candidates" ]
sanders was reelected three times defeating both democratic and republican candidates
sanders was reelected three times defeating both democratic and republican candidates.
sanders was reelected three times defeating both democratic and republican candidates. sanders was reelected three times defeating both democratic and republican candidates. sanders was re elected three times defeating both democratic and republican candidates. sanders was re elected three times defeating both democratic and republican candidates.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sanders was reelected three times defeating both democratic and republican candidates', 'sanders was reelected three times defeating both democratic and republican candidates', 'sanders was reelected three times defeating both democratic and republican candidates', 'sanders was re elected three times defeating both democratic and republican candidates', 'sanders was re elected three times defeating both democratic and republican candidates']
[ "she is a democrat", "she is a democrat", "she is a democrat", "she is a democrat", "she is a democrat" ]
she is a democrat
she is a democrat.
she is a democrat. she is a democrat. she is a democrat. she is a democrat.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is a democrat', 'she is a democrat', 'she is a democrat', 'she is a democrat', 'she is a democrat']
[ "they are to withdraw provocative and harshly satirical", "they are to withdraw provocative and harshly satirical", "they are to withdraw provocative and harshly satirical", "they are to withdraw provocative and harshly satirical", "they are to withdraw provocative and harshly satirical" ]
the art was raw provocative and harshly satirical
they are to withdraw provocative and harshly satirical.
they are to withdraw provocative and harshly satirical. they are to withdraw provocative and harshly satirical. they are to withdraw provocative and harshly satirical. they are to withdraw provocative and harshly satirical.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are to withdraw provocative and harshly satirical', 'they are to withdraw provocative and harshly satirical', 'they are to withdraw provocative and harshly satirical', 'they are to withdraw provocative and harshly satirical', 'they are to withdraw provocative and harshly satirical']
[ "oh dear you are too modest", "oh dear you are too modest", "oh dear you are too modest", "oh dear you are too modest", "oh dear you are too modest" ]
oh dear you are too modest
oh dear you are too modest.
oh dear you are too modest. oh dear you are too modest. oh dear you are too modest. oh dear you are too modest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['oh dear you are too modest', 'oh dear you are too modest', 'oh dear you are too modest', 'oh dear you are too modest', 'oh dear you are too modest']
[ "within each party candidates are listed alphabetically by surname", "within each party candidates are listed alphabetically by surname", "within each party candidates are listed alphabetically by surname", "within each party candidates are listed alphabetically by surname", "within each party candidates are listed alphabetically by sunni" ]
within each party candidates are listed alphabetically by surname
within each party candidates are listed alphabetically by surname.
within each party candidates are listed alphabetically by surname. within each party candidates are listed alphabetically by surname. within each party candidates are listed alphabetically by surname. within each party candidates are listed alphabetically by sunni.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['within each party candidates are listed alphabetically by surname', 'within each party candidates are listed alphabetically by surname', 'within each party candidates are listed alphabetically by surname', 'within each party candidates are listed alphabetically by surname', 'within each party candidates are listed alphabetically by sunni']
[ "nevertheless new cowlone has remained statutorily part of the new turkish instead of cowlone", "nevertheless new cowlone has remained statutorily part of the new turquoise instead of cowlone", "nevertheless new cowlone has remained staccutorily part of the new turkish instead of cowlone", "nevertheless new cowloon has remained statutorily part of the new territories instead of cowloon", "nevertheless new cowlone has remained statutorily part of the new turkeries instead of cowlone" ]
nevertheless new kowloon has remained statutorily part of the new territories instead of kowloon
nevertheless new cowlone has remained statutorily part of the new turkish instead of cowlone.
nevertheless new cowlone has remained statutorily part of the new turquoise instead of cowlone. nevertheless new cowlone has remained staccutorily part of the new turkish instead of cowlone. nevertheless new cowloon has remained statutorily part of the new territories instead of cowloon. nevertheless new cowlone has remained statutorily part of the new turkeries instead of cowlone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nevertheless new cowlone has remained statutorily part of the new turkish instead of cowlone', 'nevertheless new cowlone has remained statutorily part of the new turquoise instead of cowlone', 'nevertheless new cowlone has remained staccutorily part of the new turkish instead of cowlone', 'nevertheless new cowloon has remained statutorily part of the new territories instead of cowloon', 'nevertheless new cowlone has remained statutorily part of the new turkeries instead of cowlone']
[ "charges are regulated by off com", "charges are regulated by of com", "charges are regulated by of com", "charges are regulated by off com", "charges are regulated by off com" ]
charges are regulated by ofcom
charges are regulated by off com.
charges are regulated by of com. charges are regulated by of com. charges are regulated by off com. charges are regulated by off com.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['charges are regulated by off com', 'charges are regulated by of com', 'charges are regulated by of com', 'charges are regulated by off com', 'charges are regulated by off com']
[ "this box binner and simon is work on establishing a scale to identify of normal children", "this box binner and simon is work on establishing a scale to identify abnormal children", "this box binner and simon is work on establishing a scale to identify of normal children", "this box binner and simon is work on establishing a scale to identify abnormal children", "this box binner and simon is work on establishing a scale to identify abnormal children" ]
this sparked binet and simon is work on establishing a scale to identify abnormal children
this box binner and simon is work on establishing a scale to identify of normal children.
this box binner and simon is work on establishing a scale to identify abnormal children. this box binner and simon is work on establishing a scale to identify of normal children. this box binner and simon is work on establishing a scale to identify abnormal children. this box binner and simon is work on establishing a scale to identify abnormal children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this box binner and simon is work on establishing a scale to identify of normal children', 'this box binner and simon is work on establishing a scale to identify abnormal children', 'this box binner and simon is work on establishing a scale to identify of normal children', 'this box binner and simon is work on establishing a scale to identify abnormal children', 'this box binner and simon is work on establishing a scale to identify abnormal children']
[ "here is the father of john dylan and grandfather of james dylan", "here is the father of john dillon and grandfather of james dillon", "here is the father of john dillon and grandfather of james dillon", "here is the father of john dylan and grandfather of james dylan", "here is the father of john dylan and grandfather of james dylan" ]
he was the father of john dillon and grandfather of james dillon
here is the father of john dylan and grandfather of james dylan.
here is the father of john dillon and grandfather of james dillon. here is the father of john dillon and grandfather of james dillon. here is the father of john dylan and grandfather of james dylan. here is the father of john dylan and grandfather of james dylan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['here is the father of john dylan and grandfather of james dylan', 'here is the father of john dillon and grandfather of james dillon', 'here is the father of john dillon and grandfather of james dillon', 'here is the father of john dylan and grandfather of james dylan', 'here is the father of john dylan and grandfather of james dylan']
[ "it is best preserved in the bootlands of the northern sector", "it is best preserved in the woodlands of the northern sector", "it is best preserved in the goodlands of the northern sector", "it is best preserved in the bootlands of the northern sector", "it is best preserved in the good lands of the northern sector" ]
it is best preserved in the woodlands of the northern sector
it is best preserved in the bootlands of the northern sector.
it is best preserved in the woodlands of the northern sector. it is best preserved in the goodlands of the northern sector. it is best preserved in the bootlands of the northern sector. it is best preserved in the good lands of the northern sector.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is best preserved in the bootlands of the northern sector', 'it is best preserved in the woodlands of the northern sector', 'it is best preserved in the goodlands of the northern sector', 'it is best preserved in the bootlands of the northern sector', 'it is best preserved in the good lands of the northern sector']
[ "eventually so with macro media acquired he hoped to gain robodema", "eventually so with macro media acquired he hoped to gain robert demmer", "eventually with macro media acquired he hoped to gain robodema", "eventually so with macro media acquired he hoped to gain robodemma", "eventually so with macro media acquired he hoped to gain robodemo" ]
eventually software firm macromedia acquired ehelp to gain robodemo
eventually so with macro media acquired he hoped to gain robodema.
eventually so with macro media acquired he hoped to gain robert demmer. eventually with macro media acquired he hoped to gain robodema. eventually so with macro media acquired he hoped to gain robodemma. eventually so with macro media acquired he hoped to gain robodemo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['eventually so with macro media acquired he hoped to gain robodema', 'eventually so with macro media acquired he hoped to gain robert demmer', 'eventually with macro media acquired he hoped to gain robodema', 'eventually so with macro media acquired he hoped to gain robodemma', 'eventually so with macro media acquired he hoped to gain robodemo']
[ "the wool quality of a hardwick has unique qualities relating to durability", "the whole quality of a hard brick has unique qualities relating to durability", "the wool quality of a hard brick has unique qualities relating to durability", "the wool quality of a hardwick is unique qualities relating to durability", "the wool quality of a hardwik has unique qualities relating to durability" ]
the wool quality of a herdwick has unique qualities relating to durability
the wool quality of a hardwick has unique qualities relating to durability.
the whole quality of a hard brick has unique qualities relating to durability. the wool quality of a hard brick has unique qualities relating to durability. the wool quality of a hardwick is unique qualities relating to durability. the wool quality of a hardwik has unique qualities relating to durability.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the wool quality of a hardwick has unique qualities relating to durability', 'the whole quality of a hard brick has unique qualities relating to durability', 'the wool quality of a hard brick has unique qualities relating to durability', 'the wool quality of a hardwick is unique qualities relating to durability', 'the wool quality of a hardwik has unique qualities relating to durability']
[ "boardnet can also be used to interlink other workloads", "boardnet can also be used to interlink other vocabulary lines", "boardnet can also be used to interlink other workable units", "boardnet can also be used to interlink other workloads", "boardnet can also be used to interlink other vulnerabilities" ]
wordnet can also be used to inter link other vocabularies
boardnet can also be used to interlink other workloads.
boardnet can also be used to interlink other vocabulary lines. boardnet can also be used to interlink other workable units. boardnet can also be used to interlink other workloads. boardnet can also be used to interlink other vulnerabilities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['boardnet can also be used to interlink other workloads', 'boardnet can also be used to interlink other vocabulary lines', 'boardnet can also be used to interlink other workable units', 'boardnet can also be used to interlink other workloads', 'boardnet can also be used to interlink other vulnerabilities']
[ "with rapid expansion tnt is now canada is largest asian supermarket chain", "with rapid expansion tnt is now canada is largest asian supermarket chain", "with rapid expansion tnt is now canada is largest asian super market chain", "with rapid expansion tnt is now canada is largest asian supermarket chain", "with rapid expansion t t is now canada is largest asian supermarket chain" ]
with rapid expansion t and t is now canada is largest asian supermarket chain
with rapid expansion tnt is now canada is largest asian supermarket chain.
with rapid expansion tnt is now canada is largest asian supermarket chain. with rapid expansion tnt is now canada is largest asian super market chain. with rapid expansion tnt is now canada is largest asian supermarket chain. with rapid expansion t t is now canada is largest asian supermarket chain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with rapid expansion tnt is now canada is largest asian supermarket chain', 'with rapid expansion tnt is now canada is largest asian supermarket chain', 'with rapid expansion tnt is now canada is largest asian super market chain', 'with rapid expansion tnt is now canada is largest asian supermarket chain', 'with rapid expansion t t is now canada is largest asian supermarket chain']
[ "both of these will later divide it into commercial and community supported distributions", "both of these were later divided into commercial and community supported distributions", "both of these will later divide into commercial and community supported distributions", "both of these will later be divided into commercial and community supported distributions", "both of these were later divided into commercial and community supported distributions" ]
both of these were later divided into commercial and community supported distributions
both of these will later divide it into commercial and community supported distributions.
both of these were later divided into commercial and community supported distributions. both of these will later divide into commercial and community supported distributions. both of these will later be divided into commercial and community supported distributions. both of these were later divided into commercial and community supported distributions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both of these will later divide it into commercial and community supported distributions', 'both of these were later divided into commercial and community supported distributions', 'both of these will later divide into commercial and community supported distributions', 'both of these will later be divided into commercial and community supported distributions', 'both of these were later divided into commercial and community supported distributions']
[ "european canadians had regular contact with the first nations after that time", "european canadians have regular contact with the first nations after that time", "european canadian has had regular contact with the first nations after that time", "european canadian is had regular contact with the first nations after that time", "european canadians had a regular contact with the first nations after that time" ]
european canadians had regular contact with the first nations after that time
european canadians had regular contact with the first nations after that time.
european canadians have regular contact with the first nations after that time. european canadian has had regular contact with the first nations after that time. european canadian is had regular contact with the first nations after that time. european canadians had a regular contact with the first nations after that time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['european canadians had regular contact with the first nations after that time', 'european canadians have regular contact with the first nations after that time', 'european canadian has had regular contact with the first nations after that time', 'european canadian is had regular contact with the first nations after that time', 'european canadians had a regular contact with the first nations after that time']
[ "watten wrote extensively on economic matters including protective tariffs and business cycles", "whaton wrote extensively on economic matters including protective tariffs and business cycles", "watten wrote extensively on economic matters including protective tariffs and business cycles", "watan wrote extensively on economic matters including protective tariffs and business cycles", "waternd wrote extensively on economic matters including protective tariffs and business cycles" ]
wharton wrote extensively on economic matters including protective tariffs and business cycles
watten wrote extensively on economic matters including protective tariffs and business cycles.
whaton wrote extensively on economic matters including protective tariffs and business cycles. watten wrote extensively on economic matters including protective tariffs and business cycles. watan wrote extensively on economic matters including protective tariffs and business cycles. waternd wrote extensively on economic matters including protective tariffs and business cycles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['watten wrote extensively on economic matters including protective tariffs and business cycles', 'whaton wrote extensively on economic matters including protective tariffs and business cycles', 'watten wrote extensively on economic matters including protective tariffs and business cycles', 'watan wrote extensively on economic matters including protective tariffs and business cycles', 'waternd wrote extensively on economic matters including protective tariffs and business cycles']
[ "the video was shot in vancouver in an apartment building having various rooms", "the video was short in vancouver in an apartment building having various rooms", "the video was short in vancouver in an apartment building having various rooms", "the video was shot in vancouver in an apartment building having various rooms", "the video was short in vancouver in an apartment building having various rooms" ]
the video was shot in vancouver in an apartment building having various rooms
the video was shot in vancouver in an apartment building having various rooms.
the video was short in vancouver in an apartment building having various rooms. the video was short in vancouver in an apartment building having various rooms. the video was shot in vancouver in an apartment building having various rooms. the video was short in vancouver in an apartment building having various rooms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the video was shot in vancouver in an apartment building having various rooms', 'the video was short in vancouver in an apartment building having various rooms', 'the video was short in vancouver in an apartment building having various rooms', 'the video was shot in vancouver in an apartment building having various rooms', 'the video was short in vancouver in an apartment building having various rooms']
[ "he is currently the assistant coach of the continental hockey league is metallog van bittagosk", "he is currently the assistant coach of the continental hockey league is metallegh van bittagosk", "he is currently the assistant coach of the continental hockey league is metallug van bittagosk", "he is currently the assistant coach of the continental hockey league is metallegh manvitagosk", "he is currently the assistant coach of the continental hockey league is mithalag manvitagosk" ]
he is currently the assistant coach of the kontinental hockey league is metallurg magnitogorsk
he is currently the assistant coach of the continental hockey league is metallog van bittagosk.
he is currently the assistant coach of the continental hockey league is metallegh van bittagosk. he is currently the assistant coach of the continental hockey league is metallug van bittagosk. he is currently the assistant coach of the continental hockey league is metallegh manvitagosk. he is currently the assistant coach of the continental hockey league is mithalag manvitagosk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is currently the assistant coach of the continental hockey league is metallog van bittagosk', 'he is currently the assistant coach of the continental hockey league is metallegh van bittagosk', 'he is currently the assistant coach of the continental hockey league is metallug van bittagosk', 'he is currently the assistant coach of the continental hockey league is metallegh manvitagosk', 'he is currently the assistant coach of the continental hockey league is mithalag manvitagosk']
[ "thomas at tura campus and professor b marble at the shilong campus", "thomas at tora campus and professor b marble at the shilong campus", "thomas atura campus and professor b marble at the shiloh campus", "thomas at tura campus and professor b marble at the shiloh campus", "thomas at tora campus and professor b marble at the shiloh campus" ]
thomas at the tura campus and professor b myrboh at the shillong campus
thomas at tura campus and professor b marble at the shilong campus.
thomas at tora campus and professor b marble at the shilong campus. thomas atura campus and professor b marble at the shiloh campus. thomas at tura campus and professor b marble at the shiloh campus. thomas at tora campus and professor b marble at the shiloh campus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thomas at tura campus and professor b marble at the shilong campus', 'thomas at tora campus and professor b marble at the shilong campus', 'thomas atura campus and professor b marble at the shiloh campus', 'thomas at tura campus and professor b marble at the shiloh campus', 'thomas at tora campus and professor b marble at the shiloh campus']
[ "more elaborate forms of the draft treatment are the step outline and the scriptiment", "more elaborate forms of the draft treatment are the step out line and the scriptiment", "more elaborate forms of the draft treatment are the step out line and this", "more elaborate forms of the draft treatment are the step outline and this", "more elaborate forms of the draft treatment are the step out line and the scriptiment" ]
more elaborate forms of the draft treatment are the step outline and the scriptment
more elaborate forms of the draft treatment are the step outline and the scriptiment.
more elaborate forms of the draft treatment are the step out line and the scriptiment. more elaborate forms of the draft treatment are the step out line and this. more elaborate forms of the draft treatment are the step outline and this. more elaborate forms of the draft treatment are the step out line and the scriptiment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['more elaborate forms of the draft treatment are the step outline and the scriptiment', 'more elaborate forms of the draft treatment are the step out line and the scriptiment', 'more elaborate forms of the draft treatment are the step out line and this', 'more elaborate forms of the draft treatment are the step outline and this', 'more elaborate forms of the draft treatment are the step out line and the scriptiment']
[ "go be ten", "go be ten", "go be ten", "go be ten", "go with ten" ]
go with ten
go be ten.
go be ten. go be ten. go be ten. go with ten.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['go be ten', 'go be ten', 'go be ten', 'go be ten', 'go with ten']
[ "the customs limitations in the treaty were shortly revoked", "the customs limitations in the treaty were shortly revolved", "the customs limitations in this treaty were shortly revoked", "the customs limitations in this treaty were shortly revolved", "the customs limitations in the treaty were shortly removed" ]
the customs limitations in the treaty were shortly reworked
the customs limitations in the treaty were shortly revoked.
the customs limitations in the treaty were shortly revolved. the customs limitations in this treaty were shortly revoked. the customs limitations in this treaty were shortly revolved. the customs limitations in the treaty were shortly removed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the customs limitations in the treaty were shortly revoked', 'the customs limitations in the treaty were shortly revolved', 'the customs limitations in this treaty were shortly revoked', 'the customs limitations in this treaty were shortly revolved', 'the customs limitations in the treaty were shortly removed']
[ "the water denotes an entity and one is a set entity positive determiner", "the water denotes an entity and one is a set entity positive determiner", "the water denotes an entity and one is a set entity positive determiner", "the water denotes an entity and one is a set entity positive determiner", "the water the notes and entity and one is a set entity positive determiner" ]
the water denotes an entity and one is a set entity partitive determiner
the water denotes an entity and one is a set entity positive determiner.
the water denotes an entity and one is a set entity positive determiner. the water denotes an entity and one is a set entity positive determiner. the water denotes an entity and one is a set entity positive determiner. the water the notes and entity and one is a set entity positive determiner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the water denotes an entity and one is a set entity positive determiner', 'the water denotes an entity and one is a set entity positive determiner', 'the water denotes an entity and one is a set entity positive determiner', 'the water denotes an entity and one is a set entity positive determiner', 'the water the notes and entity and one is a set entity positive determiner']
[ "he would finish his last two seasons with the miami heat and charlotte hornets", "he would finish his last two seasons with the miami heat and charlotte hornets", "he would finish his last two seasons with the miami hate and charlotte hornets", "he would finish his last two seasons with the miami hate and charlotte hornets", "he would finish his last two seasons with the miami hate and charlotte hornets" ]
he would finish his last two seasons with the miami heat and charlotte hornets
he would finish his last two seasons with the miami heat and charlotte hornets.
he would finish his last two seasons with the miami heat and charlotte hornets. he would finish his last two seasons with the miami hate and charlotte hornets. he would finish his last two seasons with the miami hate and charlotte hornets. he would finish his last two seasons with the miami hate and charlotte hornets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he would finish his last two seasons with the miami heat and charlotte hornets', 'he would finish his last two seasons with the miami heat and charlotte hornets', 'he would finish his last two seasons with the miami hate and charlotte hornets', 'he would finish his last two seasons with the miami hate and charlotte hornets', 'he would finish his last two seasons with the miami hate and charlotte hornets']
[ "the buildings are owned by and house the randolph is academy for the performing arts", "the buildings are owned by and house the randolph academy for the performing arts", "the buildings are owned by and housed the randolph is academy for the performing arts", "the buildings are owned by and house the randolph academy for the performing arts", "the buildings are owned by and house the randolphs academy for the performing arts" ]
the buildings are owned by and house the randolph academy for the performing arts
the buildings are owned by and house the randolph is academy for the performing arts.
the buildings are owned by and house the randolph academy for the performing arts. the buildings are owned by and housed the randolph is academy for the performing arts. the buildings are owned by and house the randolph academy for the performing arts. the buildings are owned by and house the randolphs academy for the performing arts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the buildings are owned by and house the randolph is academy for the performing arts', 'the buildings are owned by and house the randolph academy for the performing arts', 'the buildings are owned by and housed the randolph is academy for the performing arts', 'the buildings are owned by and house the randolph academy for the performing arts', 'the buildings are owned by and house the randolphs academy for the performing arts']
[ "he did not attend university", "he did not attend university", "he did not attend university", "he did not attend the university", "he did not attend university" ]
he did not attend university
he did not attend university.
he did not attend university. he did not attend university. he did not attend the university. he did not attend university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he did not attend university', 'he did not attend university', 'he did not attend university', 'he did not attend the university', 'he did not attend university']
[ "the product was dropped after the company was purchased by poland", "the product was dropped after the company was purchased by boland", "the product was dropped after the company was purchased by poland", "the producers dropped after the company was purchased by poland", "the producers dropped after the company was purchased by poland" ]
the product was dropped after the company was purchased by borland
the product was dropped after the company was purchased by poland.
the product was dropped after the company was purchased by boland. the product was dropped after the company was purchased by poland. the producers dropped after the company was purchased by poland. the producers dropped after the company was purchased by poland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the product was dropped after the company was purchased by poland', 'the product was dropped after the company was purchased by boland', 'the product was dropped after the company was purchased by poland', 'the producers dropped after the company was purchased by poland', 'the producers dropped after the company was purchased by poland']
[ "maya reached into his back pocket and said sorry arthur is a quid", "maya reached into his back pocket and said sorry arthur he is a quid", "maya reached into his back pocket and said sorry arthur is a quid", "maya reached into his back pocket and said sorry arthur is a quid", "maya reached into his back pocket and said sorry arthur here is a quid" ]
meyer reached into his back pocket and said sorry arthur here is a quid
maya reached into his back pocket and said sorry arthur is a quid.
maya reached into his back pocket and said sorry arthur he is a quid. maya reached into his back pocket and said sorry arthur is a quid. maya reached into his back pocket and said sorry arthur is a quid. maya reached into his back pocket and said sorry arthur here is a quid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['maya reached into his back pocket and said sorry arthur is a quid', 'maya reached into his back pocket and said sorry arthur he is a quid', 'maya reached into his back pocket and said sorry arthur is a quid', 'maya reached into his back pocket and said sorry arthur is a quid', 'maya reached into his back pocket and said sorry arthur here is a quid']
[ "previously nearly all seals residents were korean", "previously nearly all seals residents were korean", "previously nearly all seules residents were korean", "previously nearly all seoul is residents were korean", "previously nearly all seul is residents were korean" ]
previously nearly all of seoul is residents were korean
previously nearly all seals residents were korean.
previously nearly all seals residents were korean. previously nearly all seules residents were korean. previously nearly all seoul is residents were korean. previously nearly all seul is residents were korean.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['previously nearly all seals residents were korean', 'previously nearly all seals residents were korean', 'previously nearly all seules residents were korean', 'previously nearly all seoul is residents were korean', 'previously nearly all seul is residents were korean']
[ "the work is divided into fifteen chapters of greatly varying length", "the work is divided into fifteen chapters of gravely varying length", "the work is divided into fifteen chapters of greatly varying length", "the work is divided into fifteen chapters of greatly varying length", "the work is divided into fifteen chapters of greatly varying length" ]
the work is divided into fifteen chapters of greatly varying length
the work is divided into fifteen chapters of greatly varying length.
the work is divided into fifteen chapters of gravely varying length. the work is divided into fifteen chapters of greatly varying length. the work is divided into fifteen chapters of greatly varying length. the work is divided into fifteen chapters of greatly varying length.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the work is divided into fifteen chapters of greatly varying length', 'the work is divided into fifteen chapters of gravely varying length', 'the work is divided into fifteen chapters of greatly varying length', 'the work is divided into fifteen chapters of greatly varying length', 'the work is divided into fifteen chapters of greatly varying length']
[ "pissa was married to placenia a woman of noble rank and wealth", "pisa was married to placenia a woman of noble rank and wealth", "pissa was married to placinia a woman of noble rank and wealth", "pisa was married to placinia a woman of noble rank and wealth", "pisa was married to placiniel a woman of noble rank and wealth" ]
piso was married to plancina a woman of noble rank and wealth
pissa was married to placenia a woman of noble rank and wealth.
pisa was married to placenia a woman of noble rank and wealth. pissa was married to placinia a woman of noble rank and wealth. pisa was married to placinia a woman of noble rank and wealth. pisa was married to placiniel a woman of noble rank and wealth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pissa was married to placenia a woman of noble rank and wealth', 'pisa was married to placenia a woman of noble rank and wealth', 'pissa was married to placinia a woman of noble rank and wealth', 'pisa was married to placinia a woman of noble rank and wealth', 'pisa was married to placiniel a woman of noble rank and wealth']
[ "back all of the older cambridge colleges manual originally took only male students", "back all of the older cambridge colleges manual originally took only male students", "back all of the older cambridge colleges manual originally took only male students", "back all of the older cambridge colleges daniel originally took only male students", "back all of the older cambridge colleges daniel originally took only male students" ]
like all of the older cambridge colleges emmanuel originally took only male students
back all of the older cambridge colleges manual originally took only male students.
back all of the older cambridge colleges manual originally took only male students. back all of the older cambridge colleges manual originally took only male students. back all of the older cambridge colleges daniel originally took only male students. back all of the older cambridge colleges daniel originally took only male students.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['back all of the older cambridge colleges manual originally took only male students', 'back all of the older cambridge colleges manual originally took only male students', 'back all of the older cambridge colleges manual originally took only male students', 'back all of the older cambridge colleges daniel originally took only male students', 'back all of the older cambridge colleges daniel originally took only male students']
[ "in other periodizations this is known as early or concurrential stage", "in other periodizations this is known as early or concurrential stage", "in other periodicizations this is known as early or concurrential stage", "in other periodizations this is known as early or concurential stage", "in other periodisations this is known as early or concurrential stage" ]
in other periodizations this is known as early or concurrential stage
in other periodizations this is known as early or concurrential stage.
in other periodizations this is known as early or concurrential stage. in other periodicizations this is known as early or concurrential stage. in other periodizations this is known as early or concurential stage. in other periodisations this is known as early or concurrential stage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in other periodizations this is known as early or concurrential stage', 'in other periodizations this is known as early or concurrential stage', 'in other periodicizations this is known as early or concurrential stage', 'in other periodizations this is known as early or concurential stage', 'in other periodisations this is known as early or concurrential stage']
[ "it is not all commas there is really some good being done", "it is not all commerce there is really some good being done", "it is not all commerce there is really some good being done", "it is not all commas there is really some good being done", "it is not all comas there is really some good being done" ]
it is not all commerce there is really some good being done
it is not all commas there is really some good being done.
it is not all commerce there is really some good being done. it is not all commerce there is really some good being done. it is not all commas there is really some good being done. it is not all comas there is really some good being done.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is not all commas there is really some good being done', 'it is not all commerce there is really some good being done', 'it is not all commerce there is really some good being done', 'it is not all commas there is really some good being done', 'it is not all comas there is really some good being done']
[ "february twenty-twond i think so", "february twenty-twond i think so", "february twenty-twond i think sir", "february the twenty-twond i think so", "february the twenty-twond i think so" ]
february the twenty second i think sir
february twenty-twond i think so.
february twenty-twond i think so. february twenty-twond i think sir. february the twenty-twond i think so. february the twenty-twond i think so.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['february twenty-twond i think so', 'february twenty-twond i think so', 'february twenty-twond i think sir', 'february the twenty-twond i think so', 'february the twenty-twond i think so']
[ "following the election socialist party leaders sergei stenechev became prime minister", "following the election socialist party leaders sergey stenechev became prime minister", "following the election socialist party leaders sergei stanachev became prime minister", "following the election socialist party leaders sergei stenechev became prime minister", "following the election socialist party leaders sergey stanashev became prime minister" ]
following the election socialist party leader sergei stanishev became prime minister
following the election socialist party leaders sergei stenechev became prime minister.
following the election socialist party leaders sergey stenechev became prime minister. following the election socialist party leaders sergei stanachev became prime minister. following the election socialist party leaders sergei stenechev became prime minister. following the election socialist party leaders sergey stanashev became prime minister.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['following the election socialist party leaders sergei stenechev became prime minister', 'following the election socialist party leaders sergey stenechev became prime minister', 'following the election socialist party leaders sergei stanachev became prime minister', 'following the election socialist party leaders sergei stenechev became prime minister', 'following the election socialist party leaders sergey stanashev became prime minister']
[ "as was custom after defeat hospitable was recalled to carthage to be executed", "as was custom after defeat hospital was recalled to carthage to be executed", "as was custom after defeat hospitable was recalled to karthage to be executed", "as was custom after a defeat hospitable was recalled to carthage to be executed", "as was custom after defeat hospital was recalled to carthage to be executed" ]
as was custom after a defeat hasdrubal was recalled to carthage to be executed
as was custom after defeat hospitable was recalled to carthage to be executed.
as was custom after defeat hospital was recalled to carthage to be executed. as was custom after defeat hospitable was recalled to karthage to be executed. as was custom after a defeat hospitable was recalled to carthage to be executed. as was custom after defeat hospital was recalled to carthage to be executed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as was custom after defeat hospitable was recalled to carthage to be executed', 'as was custom after defeat hospital was recalled to carthage to be executed', 'as was custom after defeat hospitable was recalled to karthage to be executed', 'as was custom after a defeat hospitable was recalled to carthage to be executed', 'as was custom after defeat hospital was recalled to carthage to be executed']
[ "three out of the four indonesian founding fathers i am in nankavao people", "three out of the four indonesian founding fathers i am in nankavao people", "three out of the four indonesian founding fathers i am in nankavao people", "three out of the four indonesian founding fathers i am in nankavo people", "three out of the four indonesian founding fathers i am in nankavo people" ]
three out of the four indonesian founding fathers are minangkabau people
three out of the four indonesian founding fathers i am in nankavao people.
three out of the four indonesian founding fathers i am in nankavao people. three out of the four indonesian founding fathers i am in nankavao people. three out of the four indonesian founding fathers i am in nankavo people. three out of the four indonesian founding fathers i am in nankavo people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['three out of the four indonesian founding fathers i am in nankavao people', 'three out of the four indonesian founding fathers i am in nankavao people', 'three out of the four indonesian founding fathers i am in nankavao people', 'three out of the four indonesian founding fathers i am in nankavo people', 'three out of the four indonesian founding fathers i am in nankavo people']
[ "no one survived", "no one survived", "no one survived", "no one is survived", "no one survived" ]
no one survived
no one survived.
no one survived. no one survived. no one is survived. no one survived.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['no one survived', 'no one survived', 'no one survived', 'no one is survived', 'no one survived']
[ "most of them or all of them are muslims", "most of them or all of them are muslims", "most of them or all of them are muslims", "most of them or all of them are muslims", "most of them are muslims" ]
most of them or all of them are muslims
most of them or all of them are muslims.
most of them or all of them are muslims. most of them or all of them are muslims. most of them or all of them are muslims. most of them are muslims.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of them or all of them are muslims', 'most of them or all of them are muslims', 'most of them or all of them are muslims', 'most of them or all of them are muslims', 'most of them are muslims']
[ "lantern high school is closed through school unification", "lantum high school is closed through school unification", "lantam high school is closed through school unification", "land on high school is closed through school unification", "land on high school is close to school unification" ]
latham high school was closed through school unification
lantern high school is closed through school unification.
lantum high school is closed through school unification. lantam high school is closed through school unification. land on high school is closed through school unification. land on high school is close to school unification.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lantern high school is closed through school unification', 'lantum high school is closed through school unification', 'lantam high school is closed through school unification', 'land on high school is closed through school unification', 'land on high school is close to school unification']
[ "he portrayed a babyface named fantasia a magician wrestler", "he portrayed a babyface named fantasio a magician wrestler", "he portrayed a babyface named fantasia a magician wrestler", "he portrayed a babyface named fantasio a magician wrestler", "he portrayed a baby face named fantasio a magician wrestler" ]
he portrayed a babyface named phantasio a magician wrestler
he portrayed a babyface named fantasia a magician wrestler.
he portrayed a babyface named fantasio a magician wrestler. he portrayed a babyface named fantasia a magician wrestler. he portrayed a babyface named fantasio a magician wrestler. he portrayed a baby face named fantasio a magician wrestler.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he portrayed a babyface named fantasia a magician wrestler', 'he portrayed a babyface named fantasio a magician wrestler', 'he portrayed a babyface named fantasia a magician wrestler', 'he portrayed a babyface named fantasio a magician wrestler', 'he portrayed a baby face named fantasio a magician wrestler']
[ "it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas", "it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas", "it reacts with acid such as hydrochloric acid to release toxin hydrogen sulfide gas", "it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas", "it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas" ]
it reacts with acids such as hydrochloric acid to release toxic hydrogen sulfide gas
it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas.
it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas. it reacts with acid such as hydrochloric acid to release toxin hydrogen sulfide gas. it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas. it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas', 'it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas', 'it reacts with acid such as hydrochloric acid to release toxin hydrogen sulfide gas', 'it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas', 'it reacts with acid such as hydrochloric acid to release toxic hydrogen sulfide gas']
[ "in mary enthetic consonance became ejective striposa", "in mary enthetic consonance became ejective striposa", "in marry enthetic consonance became ejective striposa", "in marry enthetic consonance became ejective striposa", "in marry enthetic consonance became a jtus threeposo" ]
in mehri emphatic consonants become ejectives pre pausa
in mary enthetic consonance became ejective striposa.
in mary enthetic consonance became ejective striposa. in marry enthetic consonance became ejective striposa. in marry enthetic consonance became ejective striposa. in marry enthetic consonance became a jtus threeposo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in mary enthetic consonance became ejective striposa', 'in mary enthetic consonance became ejective striposa', 'in marry enthetic consonance became ejective striposa', 'in marry enthetic consonance became ejective striposa', 'in marry enthetic consonance became a jtus threeposo']
[ "the rugby coach forced all players to take part in athletics as well", "the rugby coach forced all players to take part in athletics as well", "the rugby coach forced all players to take part in athletics as well", "the rugby coach forced all players to take part in athletics as well", "the rugby coach forced all players to take part in athletics as well" ]
the rugby coach forced all players to take part in athletics as well
the rugby coach forced all players to take part in athletics as well.
the rugby coach forced all players to take part in athletics as well. the rugby coach forced all players to take part in athletics as well. the rugby coach forced all players to take part in athletics as well. the rugby coach forced all players to take part in athletics as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the rugby coach forced all players to take part in athletics as well', 'the rugby coach forced all players to take part in athletics as well', 'the rugby coach forced all players to take part in athletics as well', 'the rugby coach forced all players to take part in athletics as well', 'the rugby coach forced all players to take part in athletics as well']
[ "the administration of each kingdom was very similar to that of central government", "the administration of each kingdom was very similar to that of central government", "the administration of each kingdom was very similar to that of central government", "the administration of each kingdom was very similar to that of the central government", "the administration of each kingdom was very similar to that of central government" ]
the administration of each kingdom was very similar to that of the central government
the administration of each kingdom was very similar to that of central government.
the administration of each kingdom was very similar to that of central government. the administration of each kingdom was very similar to that of central government. the administration of each kingdom was very similar to that of the central government. the administration of each kingdom was very similar to that of central government.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the administration of each kingdom was very similar to that of central government', 'the administration of each kingdom was very similar to that of central government', 'the administration of each kingdom was very similar to that of central government', 'the administration of each kingdom was very similar to that of the central government', 'the administration of each kingdom was very similar to that of central government']
[ "instead they have large heavy slides that hold the beach close through sharmas", "instead they have large heavy slides that hold the beach close through share marks", "instead they have large heavy slides that hold the beach close through sheer marks", "instead they have large heavy slides that hold the beach close through sharemarks", "instead they have large heavy slides that hold the beach close through sharemarks" ]
instead they have large heavy slides that hold the breech closed through sheer mass
instead they have large heavy slides that hold the beach close through sharmas.
instead they have large heavy slides that hold the beach close through share marks. instead they have large heavy slides that hold the beach close through sheer marks. instead they have large heavy slides that hold the beach close through sharemarks. instead they have large heavy slides that hold the beach close through sharemarks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead they have large heavy slides that hold the beach close through sharmas', 'instead they have large heavy slides that hold the beach close through share marks', 'instead they have large heavy slides that hold the beach close through sheer marks', 'instead they have large heavy slides that hold the beach close through sharemarks', 'instead they have large heavy slides that hold the beach close through sharemarks']
[ "i gave him a little time to recover", "i gave him one little time to recover", "i gave him a little time to recover", "i gave him one little time to recover", "i gave him a little time to recover" ]
i gave him a little time to recover
i gave him a little time to recover.
i gave him one little time to recover. i gave him a little time to recover. i gave him one little time to recover. i gave him a little time to recover.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i gave him a little time to recover', 'i gave him one little time to recover', 'i gave him a little time to recover', 'i gave him one little time to recover', 'i gave him a little time to recover']
[ "the regal is the most important surviving example", "the regal is the most important surviving example", "the rigl is the most important surviving example", "the rigo is the most important surviving example", "the rigal is the most important surviving example" ]
the regal is the most important surviving example
the regal is the most important surviving example.
the regal is the most important surviving example. the rigl is the most important surviving example. the rigo is the most important surviving example. the rigal is the most important surviving example.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the regal is the most important surviving example', 'the regal is the most important surviving example', 'the rigl is the most important surviving example', 'the rigo is the most important surviving example', 'the rigal is the most important surviving example']
[ "it is the only region that has its own government", "it is the only region that has it is own government", "it is the only region that has its own government", "it is the only region that has its own government", "it is the only region that has it is own government" ]
it is the only region that has its own government
it is the only region that has its own government.
it is the only region that has it is own government. it is the only region that has its own government. it is the only region that has its own government. it is the only region that has it is own government.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the only region that has its own government', 'it is the only region that has it is own government', 'it is the only region that has its own government', 'it is the only region that has its own government', 'it is the only region that has it is own government']
[ "the far worldly remote district known as the foodstay carri had come of age", "the far worldly remote district known as the pooh is bay carri had come of age", "the far worldly remote district known as the poots bay carri had come of age", "the far worldly remote district known as the poohs bay carri had come of age", "the far worldly remote district known as the foodstay carrey had come of age" ]
the formerly remote district known as the coos bay country had come of age
the far worldly remote district known as the foodstay carri had come of age.
the far worldly remote district known as the pooh is bay carri had come of age. the far worldly remote district known as the poots bay carri had come of age. the far worldly remote district known as the poohs bay carri had come of age. the far worldly remote district known as the foodstay carrey had come of age.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the far worldly remote district known as the foodstay carri had come of age', 'the far worldly remote district known as the pooh is bay carri had come of age', 'the far worldly remote district known as the poots bay carri had come of age', 'the far worldly remote district known as the poohs bay carri had come of age', 'the far worldly remote district known as the foodstay carrey had come of age']
[ "all is first made a retrospective do we think too much", "all is first made a retrospective do we think too much", "all is first made a retrospective do we thank you so much", "all these first made a retrospective do we think too much", "all is first made a retrospective do we thank too much" ]
holley is first major retrospective do we think too much
all is first made a retrospective do we think too much.
all is first made a retrospective do we think too much. all is first made a retrospective do we thank you so much. all these first made a retrospective do we think too much. all is first made a retrospective do we thank too much.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all is first made a retrospective do we think too much', 'all is first made a retrospective do we think too much', 'all is first made a retrospective do we thank you so much', 'all these first made a retrospective do we think too much', 'all is first made a retrospective do we thank too much']
[ "machent park is named after him", "machant park is named after him", "marchant park is named after him", "martin park is named after him", "machin park is named after him" ]
marchant park is named after him
machent park is named after him.
machant park is named after him. marchant park is named after him. martin park is named after him. machin park is named after him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['machent park is named after him', 'machant park is named after him', 'marchant park is named after him', 'martin park is named after him', 'machin park is named after him']
[ "it crosses the novak luftpass and thereafter hits east south east", "it crosses the novakluft pass and thereafter hits east south east", "it crosses the novak luftpass and thereafter hits east south east", "it crosses the novak luftpass and thereafter hits east south east", "it crosses the novak luftpass and thereafter hits east south east" ]
it crosses the nuwekloof pass and thereafter heads east south east
it crosses the novak luftpass and thereafter hits east south east.
it crosses the novakluft pass and thereafter hits east south east. it crosses the novak luftpass and thereafter hits east south east. it crosses the novak luftpass and thereafter hits east south east. it crosses the novak luftpass and thereafter hits east south east.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it crosses the novak luftpass and thereafter hits east south east', 'it crosses the novakluft pass and thereafter hits east south east', 'it crosses the novak luftpass and thereafter hits east south east', 'it crosses the novak luftpass and thereafter hits east south east', 'it crosses the novak luftpass and thereafter hits east south east']
[ "chris masters was born in grafton new south wales", "chris masters was born in grafton new south wales", "chris masters was born in grafton new south wales", "chris masters was born in grafting new south wales", "chris masters was born in grafton nsw" ]
chris masters was born in grafton new south wales
chris masters was born in grafton new south wales.
chris masters was born in grafton new south wales. chris masters was born in grafton new south wales. chris masters was born in grafting new south wales. chris masters was born in grafton nsw.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chris masters was born in grafton new south wales', 'chris masters was born in grafton new south wales', 'chris masters was born in grafton new south wales', 'chris masters was born in grafting new south wales', 'chris masters was born in grafton nsw']
[ "jerneth was a boxer and switched to athletics due to a hearing injury", "jerneth was a boxer and switched to athletics due to a hand injury", "jerneth was a boxer and switched to athletics due to a heavy injury", "jernif was a boxer and switched to athletics due to a hand injury", "jernif was a boxer and switched to athletics due to a heavy injury" ]
jonath was a boxer and switched to athletics due to a hand injury
jerneth was a boxer and switched to athletics due to a hearing injury.
jerneth was a boxer and switched to athletics due to a hand injury. jerneth was a boxer and switched to athletics due to a heavy injury. jernif was a boxer and switched to athletics due to a hand injury. jernif was a boxer and switched to athletics due to a heavy injury.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jerneth was a boxer and switched to athletics due to a hearing injury', 'jerneth was a boxer and switched to athletics due to a hand injury', 'jerneth was a boxer and switched to athletics due to a heavy injury', 'jernif was a boxer and switched to athletics due to a hand injury', 'jernif was a boxer and switched to athletics due to a heavy injury']
[ "clues continue to be provided even after a player has equitably found the item", "clues continue to be provided even after a player has secretly found the item", "clues continue to be provided even after a player has equally found the item", "clues continue to be provided even after a player has frequently found the item", "clues continue to be provided even after a player had secretly found the item" ]
clues continue to be provided even after a player has secretly found the idol
clues continue to be provided even after a player has equitably found the item.
clues continue to be provided even after a player has secretly found the item. clues continue to be provided even after a player has equally found the item. clues continue to be provided even after a player has frequently found the item. clues continue to be provided even after a player had secretly found the item.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clues continue to be provided even after a player has equitably found the item', 'clues continue to be provided even after a player has secretly found the item', 'clues continue to be provided even after a player has equally found the item', 'clues continue to be provided even after a player has frequently found the item', 'clues continue to be provided even after a player had secretly found the item']
[ "any find a product in a pre added category must also be a co product and conversely", "any final product in a pre added category must also be a co product and conversely", "any find or product in a pre added category must also be a co product and conversely", "any flying a product in a pre added category must also be a co product and conversely", "any find a product in a pre added category must also be a co product and conversely" ]
any finite product in a preadditive category must also be a coproduct and conversely
any find a product in a pre added category must also be a co product and conversely.
any final product in a pre added category must also be a co product and conversely. any find or product in a pre added category must also be a co product and conversely. any flying a product in a pre added category must also be a co product and conversely. any find a product in a pre added category must also be a co product and conversely.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['any find a product in a pre added category must also be a co product and conversely', 'any final product in a pre added category must also be a co product and conversely', 'any find or product in a pre added category must also be a co product and conversely', 'any flying a product in a pre added category must also be a co product and conversely', 'any find a product in a pre added category must also be a co product and conversely']
[ "the album produced four singles blade american the middle sweetness and a praise course", "the album produced four singles blade american the middle sweetness and appraise chorus", "the album produced four singles bleed american the middle sweetness and a praise course", "the album produced four singles blade american the middle sweetness and a praise chorus", "the album produced four singles blade american the middle sweetness and appraise chorus" ]
the album produced four singles bleed american the middle sweetness and a praise chorus
the album produced four singles blade american the middle sweetness and a praise course.
the album produced four singles blade american the middle sweetness and appraise chorus. the album produced four singles bleed american the middle sweetness and a praise course. the album produced four singles blade american the middle sweetness and a praise chorus. the album produced four singles blade american the middle sweetness and appraise chorus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album produced four singles blade american the middle sweetness and a praise course', 'the album produced four singles blade american the middle sweetness and appraise chorus', 'the album produced four singles bleed american the middle sweetness and a praise course', 'the album produced four singles blade american the middle sweetness and a praise chorus', 'the album produced four singles blade american the middle sweetness and appraise chorus']
[ "the one gives a speech on the value of friendship", "the one gives a speech on the value of friendship", "the one gives a speech on the value of frenchie", "the one gives a speech on the value of friendship", "the one gives a speech on the value of friendship" ]
timon gives a speech on the value of friendship
the one gives a speech on the value of friendship.
the one gives a speech on the value of friendship. the one gives a speech on the value of frenchie. the one gives a speech on the value of friendship. the one gives a speech on the value of friendship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the one gives a speech on the value of friendship', 'the one gives a speech on the value of friendship', 'the one gives a speech on the value of frenchie', 'the one gives a speech on the value of friendship', 'the one gives a speech on the value of friendship']
[ "must have classified eightth and last in the manufactures championship", "must have classified eightth and last in the manufactures championship", "must have classified eightth and last in the manufacturer is championship", "must have classified eightth and last in the manufacturers championship", "must have classified eighth and last in the manufactures championship" ]
mazda were classified eighth and last in the manufacturer is championship
must have classified eightth and last in the manufactures championship.
must have classified eightth and last in the manufactures championship. must have classified eightth and last in the manufacturer is championship. must have classified eightth and last in the manufacturers championship. must have classified eighth and last in the manufactures championship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['must have classified eightth and last in the manufactures championship', 'must have classified eightth and last in the manufactures championship', 'must have classified eightth and last in the manufacturer is championship', 'must have classified eightth and last in the manufacturers championship', 'must have classified eighth and last in the manufactures championship']
[ "he encouraged his students to marry establish businesses and be fully engaged in society", "he encouraged his students to marry establish businesses and be fully engaged in society", "he encouraged his students to marry establish businesses and be fully engaged in society", "he encouraged his students to marry establish businesses and be fully engaged in society", "he encouraged his students to marry establish businesses and be fully engaged in society" ]
he encouraged his students to marry establish businesses and be fully engaged in society
he encouraged his students to marry establish businesses and be fully engaged in society.
he encouraged his students to marry establish businesses and be fully engaged in society. he encouraged his students to marry establish businesses and be fully engaged in society. he encouraged his students to marry establish businesses and be fully engaged in society. he encouraged his students to marry establish businesses and be fully engaged in society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he encouraged his students to marry establish businesses and be fully engaged in society', 'he encouraged his students to marry establish businesses and be fully engaged in society', 'he encouraged his students to marry establish businesses and be fully engaged in society', 'he encouraged his students to marry establish businesses and be fully engaged in society', 'he encouraged his students to marry establish businesses and be fully engaged in society']
[ "the e not only causes frequencies but also the real effect answer", "the e not only causes frequencies but also the real effect answer", "the e not only causes frequencies but also the real e effect answer", "the e not only causes frequencies but also the real e effect answer", "the e not only causes frequencies but also the real in effect answer" ]
the e not only catches frequencies but also the real e effects as well
the e not only causes frequencies but also the real effect answer.
the e not only causes frequencies but also the real effect answer. the e not only causes frequencies but also the real e effect answer. the e not only causes frequencies but also the real e effect answer. the e not only causes frequencies but also the real in effect answer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the e not only causes frequencies but also the real effect answer', 'the e not only causes frequencies but also the real effect answer', 'the e not only causes frequencies but also the real e effect answer', 'the e not only causes frequencies but also the real e effect answer', 'the e not only causes frequencies but also the real in effect answer']
[ "by necessity individuals may demands on their social and natural environments", "by necessity individuals may demands on their social and national environments", "by necessity individuals may demands on the social and natural environments", "by necessity individuals may demands on their social and natural environments", "by necessity individuals may demands on their social and national environments" ]
by necessity individuals made demands on their social and natural environments
by necessity individuals may demands on their social and natural environments.
by necessity individuals may demands on their social and national environments. by necessity individuals may demands on the social and natural environments. by necessity individuals may demands on their social and natural environments. by necessity individuals may demands on their social and national environments.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by necessity individuals may demands on their social and natural environments', 'by necessity individuals may demands on their social and national environments', 'by necessity individuals may demands on the social and natural environments', 'by necessity individuals may demands on their social and natural environments', 'by necessity individuals may demands on their social and national environments']
[ "the play has been adapted into an opera by francis poulon", "the play has been adapted into an opera by francis poulon", "the play has been adapted into an opera by francis poulan", "the play has been adapted into an opera by frances poulon", "the play has been adapted into an opera by francis poulong" ]
the play has been adapted into an opera by francis poulenc
the play has been adapted into an opera by francis poulon.
the play has been adapted into an opera by francis poulon. the play has been adapted into an opera by francis poulan. the play has been adapted into an opera by frances poulon. the play has been adapted into an opera by francis poulong.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the play has been adapted into an opera by francis poulon', 'the play has been adapted into an opera by francis poulon', 'the play has been adapted into an opera by francis poulan', 'the play has been adapted into an opera by frances poulon', 'the play has been adapted into an opera by francis poulong']
[ "nelson case was the announcer", "nelson k was the announcer", "nelson cayce was the announcer", "nelson case was the announcer", "nelson k was the announcer" ]
nelson case was the announcer
nelson case was the announcer.
nelson k was the announcer. nelson cayce was the announcer. nelson case was the announcer. nelson k was the announcer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nelson case was the announcer', 'nelson k was the announcer', 'nelson cayce was the announcer', 'nelson case was the announcer', 'nelson k was the announcer']
[ "mele has also been featured in the washington post and the baltimore sun", "mellor has also been featured in the washington post and the baltimore sun", "malah has also been featured in the washington post and the baltimore sun", "miller has also been featured in the washington post and the baltimore sun", "mellow has also been featured in the washington post and the baltimore sun" ]
miller has also been featured in the washington post and the baltimore sun
mele has also been featured in the washington post and the baltimore sun.
mellor has also been featured in the washington post and the baltimore sun. malah has also been featured in the washington post and the baltimore sun. miller has also been featured in the washington post and the baltimore sun. mellow has also been featured in the washington post and the baltimore sun.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mele has also been featured in the washington post and the baltimore sun', 'mellor has also been featured in the washington post and the baltimore sun', 'malah has also been featured in the washington post and the baltimore sun', 'miller has also been featured in the washington post and the baltimore sun', 'mellow has also been featured in the washington post and the baltimore sun']
[ "san vaughan expanded his operations the treasury accepted his list with little or no evaluations", "san juan expanded his operations the treasury accepted his list with little or no evaluations", "san vaughan expanded his operations deteriorary accepted his list with little or no evaluations", "san vaughan expanded his operations the treasury accepted his list with little or no evaluations", "san juan expanded his operations the treasury accepted his list with little or no evaluations" ]
sanborn expanded his operations the treasury accepted his list with little or no evaluations
san vaughan expanded his operations the treasury accepted his list with little or no evaluations.
san juan expanded his operations the treasury accepted his list with little or no evaluations. san vaughan expanded his operations deteriorary accepted his list with little or no evaluations. san vaughan expanded his operations the treasury accepted his list with little or no evaluations. san juan expanded his operations the treasury accepted his list with little or no evaluations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['san vaughan expanded his operations the treasury accepted his list with little or no evaluations', 'san juan expanded his operations the treasury accepted his list with little or no evaluations', 'san vaughan expanded his operations deteriorary accepted his list with little or no evaluations', 'san vaughan expanded his operations the treasury accepted his list with little or no evaluations', 'san juan expanded his operations the treasury accepted his list with little or no evaluations']
[ "why it is not", "why it is not", "why it is not", "why it is not", "why it is not" ]
why it is not
why it is not.
why it is not. why it is not. why it is not. why it is not.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['why it is not', 'why it is not', 'why it is not', 'why it is not', 'why it is not']
[ "it is named for the portuguese explorer vascao gigama", "it is named for the portuguese explorer vascao jigama", "it is named for the portuguese explorer vascaeo gigama", "it is named for the portuguese explorer vascao gigama", "it is named for the portuguese explorer vascaeojigama" ]
it is named for the portuguese explorer vasco da gama
it is named for the portuguese explorer vascao gigama.
it is named for the portuguese explorer vascao jigama. it is named for the portuguese explorer vascaeo gigama. it is named for the portuguese explorer vascao gigama. it is named for the portuguese explorer vascaeojigama.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is named for the portuguese explorer vascao gigama', 'it is named for the portuguese explorer vascao jigama', 'it is named for the portuguese explorer vascaeo gigama', 'it is named for the portuguese explorer vascao gigama', 'it is named for the portuguese explorer vascaeojigama']
[ "it was produced by mark batson", "it was produced by mark batson", "it was produced by mark batson", "it was produced by mark batson", "it was produced by mark batson" ]
it was produced by mark batson
it was produced by mark batson.
it was produced by mark batson. it was produced by mark batson. it was produced by mark batson. it was produced by mark batson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was produced by mark batson', 'it was produced by mark batson', 'it was produced by mark batson', 'it was produced by mark batson', 'it was produced by mark batson']
[ "another dingo clone the auto blinged alliance was developed by lancia italy", "another dingo clone the auto blinged alliance was developed by lensia italy", "another dingo clone the auto blinged alliance was developed by lancia italy", "another dingo clone the auto blinked the lens was developed by lensia italy", "another dingo clone the auto blinked the lens was developed by lancia italy" ]
another dingo clone the autoblinda lince was developed by lancia italy
another dingo clone the auto blinged alliance was developed by lancia italy.
another dingo clone the auto blinged alliance was developed by lensia italy. another dingo clone the auto blinged alliance was developed by lancia italy. another dingo clone the auto blinked the lens was developed by lensia italy. another dingo clone the auto blinked the lens was developed by lancia italy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another dingo clone the auto blinged alliance was developed by lancia italy', 'another dingo clone the auto blinged alliance was developed by lensia italy', 'another dingo clone the auto blinged alliance was developed by lancia italy', 'another dingo clone the auto blinked the lens was developed by lensia italy', 'another dingo clone the auto blinked the lens was developed by lancia italy']
[ "the township is the most populous municipality in all of forest county", "the township is the most popular municipality in all of forest county", "the township is the most populist municipality in all of forest county", "the township is the most populous municipality in all of forest county", "the township is the most populous municipality in all of forest county" ]
the township is the most populous municipality in all of forest county
the township is the most populous municipality in all of forest county.
the township is the most popular municipality in all of forest county. the township is the most populist municipality in all of forest county. the township is the most populous municipality in all of forest county. the township is the most populous municipality in all of forest county.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the township is the most populous municipality in all of forest county', 'the township is the most popular municipality in all of forest county', 'the township is the most populist municipality in all of forest county', 'the township is the most populous municipality in all of forest county', 'the township is the most populous municipality in all of forest county']
[ "another advantage of this method is the sensitivity studies can be performed", "another advantage of this method is that sensitivity studies can be performed", "another advantage of this method is the sensitivity studies can be performed", "another advantage of this method is the sensitivity studies can be performed", "another advantage of this method is that the sensitivity studies can be performed" ]
another advantage of this method is that sensitivity studies can be performed
another advantage of this method is the sensitivity studies can be performed.
another advantage of this method is that sensitivity studies can be performed. another advantage of this method is the sensitivity studies can be performed. another advantage of this method is the sensitivity studies can be performed. another advantage of this method is that the sensitivity studies can be performed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another advantage of this method is the sensitivity studies can be performed', 'another advantage of this method is that sensitivity studies can be performed', 'another advantage of this method is the sensitivity studies can be performed', 'another advantage of this method is the sensitivity studies can be performed', 'another advantage of this method is that the sensitivity studies can be performed']
[ "he was born in saskatoon saskatchewan canada", "he was born in saskatoon saskatchewan canada", "he was born in saskatoon saskatchewan canada", "he was born in saskatoon saskatchewan canada", "he was born in saskatoon saskatchewan canada" ]
he was born in saskatoon saskatchewan canada
he was born in saskatoon saskatchewan canada.
he was born in saskatoon saskatchewan canada. he was born in saskatoon saskatchewan canada. he was born in saskatoon saskatchewan canada. he was born in saskatoon saskatchewan canada.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was born in saskatoon saskatchewan canada', 'he was born in saskatoon saskatchewan canada', 'he was born in saskatoon saskatchewan canada', 'he was born in saskatoon saskatchewan canada', 'he was born in saskatoon saskatchewan canada']
[ "he described the lyrics as being about religion practicing love and loss", "he described the lyrics as being about religion practicing love and loss", "he describes the lyrics as being about religion practicing love and loss", "he described the lyrics as being a bot religion practicing love and loss", "he describes the lyrics as being about religion practicing love and loss" ]
he described the lyrics as being about religion passion love and loss
he described the lyrics as being about religion practicing love and loss.
he described the lyrics as being about religion practicing love and loss. he describes the lyrics as being about religion practicing love and loss. he described the lyrics as being a bot religion practicing love and loss. he describes the lyrics as being about religion practicing love and loss.
train_cv
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[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he described the lyrics as being about religion practicing love and loss', 'he described the lyrics as being about religion practicing love and loss', 'he describes the lyrics as being about religion practicing love and loss', 'he described the lyrics as being a bot religion practicing love and loss', 'he describes the lyrics as being about religion practicing love and loss']
[ "the creations just dressed schools were a cycle gamma of cries", "the creatures just dressed schools were a cycle gamma of cries", "the creations just dressed schools were a cycle gamma of cries", "the creations just dressed schools were recycled gamera cries", "the creatures just dressed schools were a cycled gamma of cries" ]
the creature is distress calls were recycled gamera cries
the creations just dressed schools were a cycle gamma of cries.
the creatures just dressed schools were a cycle gamma of cries. the creations just dressed schools were a cycle gamma of cries. the creations just dressed schools were recycled gamera cries. the creatures just dressed schools were a cycled gamma of cries.
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 creations just dressed schools were a cycle gamma of cries', 'the creatures just dressed schools were a cycle gamma of cries', 'the creations just dressed schools were a cycle gamma of cries', 'the creations just dressed schools were recycled gamera cries', 'the creatures just dressed schools were a cycled gamma of cries']
[ "the structure of filgristum differs slightly from the structure of the natural glycoprotein", "the structure of filgrostum differs slightly from the structure of the natural glycoprotein", "the structure of filgrostome differs slightly from the structure of the natural glycoprotein", "the structure of filgristum differs slightly from the structure of the natural glycoprotein", "the structure of philgristum differs slightly from the structure of the natural glycoprotein" ]
the structure of filgrastim differs slightly from the structure of the natural glycoprotein
the structure of filgristum differs slightly from the structure of the natural glycoprotein.
the structure of filgrostum differs slightly from the structure of the natural glycoprotein. the structure of filgrostome differs slightly from the structure of the natural glycoprotein. the structure of filgristum differs slightly from the structure of the natural glycoprotein. the structure of philgristum differs slightly from the structure of the natural glycoprotein.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the structure of filgristum differs slightly from the structure of the natural glycoprotein', 'the structure of filgrostum differs slightly from the structure of the natural glycoprotein', 'the structure of filgrostome differs slightly from the structure of the natural glycoprotein', 'the structure of filgristum differs slightly from the structure of the natural glycoprotein', 'the structure of philgristum differs slightly from the structure of the natural glycoprotein']
[ "the play and his performance both receive generally favorable views", "the play and his performance both receive generally favorable views", "the play and his performance both receive generally favorable views", "the play and his performance both receive generally favorable views", "the play and his performance both receive generally favorable views" ]
the play and his performance both received generally favorable reviews
the play and his performance both receive generally favorable views.
the play and his performance both receive generally favorable views. the play and his performance both receive generally favorable views. the play and his performance both receive generally favorable views. the play and his performance both receive generally favorable views.
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 play and his performance both receive generally favorable views', 'the play and his performance both receive generally favorable views', 'the play and his performance both receive generally favorable views', 'the play and his performance both receive generally favorable views', 'the play and his performance both receive generally favorable views']
[ "the absence of heavy industry makes a typical community town", "the absence of heavy industry makes jim a typical communist town", "the absence of heavy industry makes jim a typical commuter town", "the absence of heavy industry makes jim a typical community town", "the absence of heavy industry makes a typical communal town" ]
the absence of heavy industry makes edegem a typical commuter town
the absence of heavy industry makes a typical community town.
the absence of heavy industry makes jim a typical communist town. the absence of heavy industry makes jim a typical commuter town. the absence of heavy industry makes jim a typical community town. the absence of heavy industry makes a typical communal town.
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 absence of heavy industry makes a typical community town', 'the absence of heavy industry makes jim a typical communist town', 'the absence of heavy industry makes jim a typical commuter town', 'the absence of heavy industry makes jim a typical community town', 'the absence of heavy industry makes a typical communal town']
[ "six people on a cliff taking a picture of there of the water", "six people on a cliff taking a picture of the water", "six people on a cliff taking a picture of there of the water", "six people on a cliff taking a picture of there of the water", "six people on a cliff taking a picture of there of the water" ]
six people on a cliff taking a picture of their of the water
six people on a cliff taking a picture of there of the water.
six people on a cliff taking a picture of the water. six people on a cliff taking a picture of there of the water. six people on a cliff taking a picture of there of the water. six people on a cliff taking a picture of there of the water.
train_cv
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[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['six people on a cliff taking a picture of there of the water', 'six people on a cliff taking a picture of the water', 'six people on a cliff taking a picture of there of the water', 'six people on a cliff taking a picture of there of the water', 'six people on a cliff taking a picture of there of the water']
[ "this specimen held at the museum is the type for the species", "this specimen held at the museum is the type for the species", "this specimen held at the museum is the type for the species", "this specimen held at the museum is the type for the species", "this specimen held at the museum is the type for the species" ]
this specimen held at the museum is the type for the species
this specimen held at the museum is the type for the species.
this specimen held at the museum is the type for the species. this specimen held at the museum is the type for the species. this specimen held at the museum is the type for the species. this specimen held at the museum is the type for the species.
train_cv
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[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this specimen held at the museum is the type for the species', 'this specimen held at the museum is the type for the species', 'this specimen held at the museum is the type for the species', 'this specimen held at the museum is the type for the species', 'this specimen held at the museum is the type for the species']
[ "they lay their eggs in cavities in the soil", "they laid their eggs in cavities in the soil", "they lay their eggs in cavities and the soil", "they lay their eggs and cavities in the soil", "they laid their eggs and cavities in the soil" ]
they lay their eggs in cavities in the soil
they lay their eggs in cavities in the soil.
they laid their eggs in cavities in the soil. they lay their eggs in cavities and the soil. they lay their eggs and cavities in the soil. they laid their eggs and cavities in the soil.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they lay their eggs in cavities in the soil', 'they laid their eggs in cavities in the soil', 'they lay their eggs in cavities and the soil', 'they lay their eggs and cavities in the soil', 'they laid their eggs and cavities in the soil']
[ "the winning remixes were included on this album", "the winning remixes were included on the south end", "the winning remixes were included on the soapin", "the winning remixes were included on the serpent", "the wining remixes were included on this album" ]
the winning remixes were included on this album
the winning remixes were included on this album.
the winning remixes were included on the south end. the winning remixes were included on the soapin. the winning remixes were included on the serpent. the wining remixes were included on this album.
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 winning remixes were included on this album', 'the winning remixes were included on the south end', 'the winning remixes were included on the soapin', 'the winning remixes were included on the serpent', 'the wining remixes were included on this album']