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[ "in german it was known as byla though this is not used currently", "in german it was known as byla though this is not used currently", "in german it was known as bylap though this is not used currently", "in german it was known as bylap though this is not used currently", "in german it was known as byla though this is not used currently" ]
in german it was known as bewiler though this is not used currently
in german it was known as byla though this is not used currently.
in german it was known as byla though this is not used currently. in german it was known as bylap though this is not used currently. in german it was known as bylap though this is not used currently. in german it was known as byla though this is not used currently.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in german it was known as byla though this is not used currently', 'in german it was known as byla though this is not used currently', 'in german it was known as bylap though this is not used currently', 'in german it was known as bylap though this is not used currently', 'in german it was known as byla though this is not used currently']
[ "the principal local authority in the area is cornwell council", "the principal local authority in the area is cornwall council", "the principal local authority in the area is cornwell council", "the principal local authority in the area is cornwall council", "the principle local authority in the area is cornwell council" ]
the principal local authority in the area is cornwall council
the principal local authority in the area is cornwell council.
the principal local authority in the area is cornwall council. the principal local authority in the area is cornwell council. the principal local authority in the area is cornwall council. the principle local authority in the area is cornwell council.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the principal local authority in the area is cornwell council', 'the principal local authority in the area is cornwall council', 'the principal local authority in the area is cornwell council', 'the principal local authority in the area is cornwall council', 'the principle local authority in the area is cornwell council']
[ "it is part of the no folk nebraska micro politan statistical area", "it is part of the no folk nebraska micropolytent statistical area", "it is part of the no folk nebraska micro politan statistical area", "it is part of the no folk nebraska micropolitan statistical area", "it is part of the no folk nebraska micro polyton statistical area" ]
it is part of the norfolk nebraska micropolitan statistical area
it is part of the no folk nebraska micro politan statistical area.
it is part of the no folk nebraska micropolytent statistical area. it is part of the no folk nebraska micro politan statistical area. it is part of the no folk nebraska micropolitan statistical area. it is part of the no folk nebraska micro polyton statistical area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is part of the no folk nebraska micro politan statistical area', 'it is part of the no folk nebraska micropolytent statistical area', 'it is part of the no folk nebraska micro politan statistical area', 'it is part of the no folk nebraska micropolitan statistical area', 'it is part of the no folk nebraska micro polyton statistical area']
[ "a developer has converted the former church into condominium units", "the developer has converted the former church into condominium units", "a developer has converted the former church into condo minium units", "the developer has converted the former church into condo minium units", "a developer has converted the former church into condo minium units" ]
a developer has converted the former church into condominium units
a developer has converted the former church into condominium units.
the developer has converted the former church into condominium units. a developer has converted the former church into condo minium units. the developer has converted the former church into condo minium units. a developer has converted the former church into condo minium units.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a developer has converted the former church into condominium units', 'the developer has converted the former church into condominium units', 'a developer has converted the former church into condo minium units', 'the developer has converted the former church into condo minium units', 'a developer has converted the former church into condo minium units']
[ "there are thousands of national treasures around the world", "there are thousands of national treasures around the globe", "there are thousands of national treasures around the road", "there are thousands of national treasures around the world", "there are thousands of national treasures around the globe" ]
there are thousands of national treasures around the world
there are thousands of national treasures around the world.
there are thousands of national treasures around the globe. there are thousands of national treasures around the road. there are thousands of national treasures around the world. there are thousands of national treasures around the globe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are thousands of national treasures around the world', 'there are thousands of national treasures around the globe', 'there are thousands of national treasures around the road', 'there are thousands of national treasures around the world', 'there are thousands of national treasures around the globe']
[ "the farmer found her nearly lifeless the morning after", "the farmer found her nearly lifeless the morning after", "the farmer found her nearly lifeless the morning after", "the farmer found her nearly lifeless the morning after", "the farmer found her nearly lifeless the morning after" ]
the farmer found her nearly lifeless the morning after
the farmer found her nearly lifeless the morning after.
the farmer found her nearly lifeless the morning after. the farmer found her nearly lifeless the morning after. the farmer found her nearly lifeless the morning after. the farmer found her nearly lifeless the morning after.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the farmer found her nearly lifeless the morning after', 'the farmer found her nearly lifeless the morning after', 'the farmer found her nearly lifeless the morning after', 'the farmer found her nearly lifeless the morning after', 'the farmer found her nearly lifeless the morning after']
[ "after the war he worked on sample survey design and analysis", "after the war he worked on sample survey design and analysis", "after the war he worked on sample survey design and analysis", "after the war he worked on sample survey design and analysis", "after the war he worked on sample survey design and analysis" ]
after the war he worked on sample survey design and analysis
after the war he worked on sample survey design and analysis.
after the war he worked on sample survey design and analysis. after the war he worked on sample survey design and analysis. after the war he worked on sample survey design and analysis. after the war he worked on sample survey design and analysis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the war he worked on sample survey design and analysis', 'after the war he worked on sample survey design and analysis', 'after the war he worked on sample survey design and analysis', 'after the war he worked on sample survey design and analysis', 'after the war he worked on sample survey design and analysis']
[ "once pressure is applied this force will reduce", "once pressure is applied these ports will reduce", "once pressure is applied this force will reduce", "fun is pressure is applied to these four square radios", "onest pressure is applied these fourth grade radios" ]
once pressure is applied this force will reduce
once pressure is applied this force will reduce.
once pressure is applied these ports will reduce. once pressure is applied this force will reduce. fun is pressure is applied to these four square radios. onest pressure is applied these fourth grade radios.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['once pressure is applied this force will reduce', 'once pressure is applied these ports will reduce', 'once pressure is applied this force will reduce', 'fun is pressure is applied to these four square radios', 'onest pressure is applied these fourth grade radios']
[ "the album has received mixed reviews from critics", "the album has a safe mix reviews from critics", "the album has received mixed reviews from critics", "the album has a save mix reviews from critics", "the album has received mixed reviews from critics" ]
the album has received mixed reviews from critics
the album has received mixed reviews from critics.
the album has a safe mix reviews from critics. the album has received mixed reviews from critics. the album has a save mix reviews from critics. the album has received mixed reviews from critics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the album has received mixed reviews from critics', 'the album has a safe mix reviews from critics', 'the album has received mixed reviews from critics', 'the album has a save mix reviews from critics', 'the album has received mixed reviews from critics']
[ "they also support direct rather than connecting services to colon mail", "they also support direct rather than connecting services to colon mill", "they also support direct rather than connecting services to cologne mail", "they also support direct rather than connecting services to the colon mill", "they also support direct rather than connecting services to colonmail" ]
they also support direct rather than connecting services to clonmel
they also support direct rather than connecting services to colon mail.
they also support direct rather than connecting services to colon mill. they also support direct rather than connecting services to cologne mail. they also support direct rather than connecting services to the colon mill. they also support direct rather than connecting services to colonmail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also support direct rather than connecting services to colon mail', 'they also support direct rather than connecting services to colon mill', 'they also support direct rather than connecting services to cologne mail', 'they also support direct rather than connecting services to the colon mill', 'they also support direct rather than connecting services to colonmail']
[ "the trees are thick and all over the land within the parks confines", "the trees are thick and all over the land within the parks confines", "the trees are thick and all over the land within the parks confines", "the trees are thick and all over the land within the park is confines", "the trees are thick and all over the land within the park is confines" ]
the trees are thick and all over the land within the park is confines
the trees are thick and all over the land within the parks confines.
the trees are thick and all over the land within the parks confines. the trees are thick and all over the land within the parks confines. the trees are thick and all over the land within the park is confines. the trees are thick and all over the land within the park is confines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the trees are thick and all over the land within the parks confines', 'the trees are thick and all over the land within the parks confines', 'the trees are thick and all over the land within the parks confines', 'the trees are thick and all over the land within the park is confines', 'the trees are thick and all over the land within the park is confines']
[ "he went on to say that the breakup will not affect the band", "he went on to say that the break up will not affect the band", "he went on to say that the break up will not affect the band", "he went on to say that the breakup will not affect the band", "he went on to say that the break up will not affect the band" ]
he went on to say that the break up will not affect the band
he went on to say that the breakup will not affect the band.
he went on to say that the break up will not affect the band. he went on to say that the break up will not affect the band. he went on to say that the breakup will not affect the band. he went on to say that the break up will not affect the band.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he went on to say that the breakup will not affect the band', 'he went on to say that the break up will not affect the band', 'he went on to say that the break up will not affect the band', 'he went on to say that the breakup will not affect the band', 'he went on to say that the break up will not affect the band']
[ "powerfreak pioneered the use of a stereoscopy from planes for topographic purposes", "powerfreak pioneered the use of mysterious coffee from planes for topographic purposes", "powerfreak pioneered the use of hysteria is coffee from planes for topographic purposes", "power freak pioneered the use of a stereoscopy from planes for topographic purposes", "powerfreak pioneered the use of a stereo copy from planes for topographic purposes" ]
pulfrich pioneered the use of stereoscopy from planes for topographic purposes
powerfreak pioneered the use of a stereoscopy from planes for topographic purposes.
powerfreak pioneered the use of mysterious coffee from planes for topographic purposes. powerfreak pioneered the use of hysteria is coffee from planes for topographic purposes. power freak pioneered the use of a stereoscopy from planes for topographic purposes. powerfreak pioneered the use of a stereo copy from planes for topographic purposes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['powerfreak pioneered the use of a stereoscopy from planes for topographic purposes', 'powerfreak pioneered the use of mysterious coffee from planes for topographic purposes', 'powerfreak pioneered the use of hysteria is coffee from planes for topographic purposes', 'power freak pioneered the use of a stereoscopy from planes for topographic purposes', 'powerfreak pioneered the use of a stereo copy from planes for topographic purposes']
[ "i am the captain of this ship", "i am the captain of the ship", "i am the captain of this shit", "i am the captain of this ship", "i am the captain of the ship" ]
i am the captain of the ship
i am the captain of this ship.
i am the captain of the ship. i am the captain of this shit. i am the captain of this ship. i am the captain of the ship.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am the captain of this ship', 'i am the captain of the ship', 'i am the captain of this shit', 'i am the captain of this ship', 'i am the captain of the ship']
[ "hate fight but was unable to fight sponsored", "hate fight but was unable to fight sponsored", "hate fight but was unable to fight spulfer", "he tried but was unable to find spulfer", "hate fight but was unable to fight spoiler" ]
he tried but was unable to find a sponsor
hate fight but was unable to fight sponsored.
hate fight but was unable to fight sponsored. hate fight but was unable to fight spulfer. he tried but was unable to find spulfer. hate fight but was unable to fight spoiler.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hate fight but was unable to fight sponsored', 'hate fight but was unable to fight sponsored', 'hate fight but was unable to fight spulfer', 'he tried but was unable to find spulfer', 'hate fight but was unable to fight spoiler']
[ "a woman cutting a brown cake", "a woman cutting a brown cake", "a woman cutting a brown cake", "a woman cutting a brown cake", "a woman cutting a brown cake" ]
a woman cutting a brown cake
a woman cutting a brown cake.
a woman cutting a brown cake. a woman cutting a brown cake. a woman cutting a brown cake. a woman cutting a brown cake.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a woman cutting a brown cake', 'a woman cutting a brown cake', 'a woman cutting a brown cake', 'a woman cutting a brown cake', 'a woman cutting a brown cake']
[ "the school was the first post war government english girl school built in colonial singapore", "the school was the first post war government english girl school built in colonial singapore", "the school was the first post war government english girls school built in colonial singapore", "this school was the first post war government english girl school built in colonial singapore", "the school was the first post war government english girls school built in colonial singapore" ]
the school was the first post war government english girls school built in colonial singapore
the school was the first post war government english girl school built in colonial singapore.
the school was the first post war government english girl school built in colonial singapore. the school was the first post war government english girls school built in colonial singapore. this school was the first post war government english girl school built in colonial singapore. the school was the first post war government english girls school built in colonial singapore.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the school was the first post war government english girl school built in colonial singapore', 'the school was the first post war government english girl school built in colonial singapore', 'the school was the first post war government english girls school built in colonial singapore', 'this school was the first post war government english girl school built in colonial singapore', 'the school was the first post war government english girls school built in colonial singapore']
[ "four men were arrested", "four men were arrested", "four men were arrested", "four men were arrested", "four men were arrested" ]
four men were arrested
four men were arrested.
four men were arrested. four men were arrested. four men were arrested. four men were arrested.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['four men were arrested', 'four men were arrested', 'four men were arrested', 'four men were arrested', 'four men were arrested']
[ "its only leader was badram omarajik", "its only leader was badram omaragic", "its only leader was bajram omarajik", "its only leader was badram omarajik", "its only leader was bajram omaragic" ]
its only leader was bajram omeragic
its only leader was badram omarajik.
its only leader was badram omaragic. its only leader was bajram omarajik. its only leader was badram omarajik. its only leader was bajram omaragic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its only leader was badram omarajik', 'its only leader was badram omaragic', 'its only leader was bajram omarajik', 'its only leader was badram omarajik', 'its only leader was bajram omaragic']
[ "he represented the senatorial division of repentigny quebec until his death", "he represented the sanitorial division of repentigny quebec until his death", "he represented the sanitorial division of repentigny quebec until his death", "he represented the senatorial division of repentigny quebec until his death", "he represented the senatorial division of repentigny kubek until his death" ]
he represented the senatorial division of repentigny quebec until his death
he represented the senatorial division of repentigny quebec until his death.
he represented the sanitorial division of repentigny quebec until his death. he represented the sanitorial division of repentigny quebec until his death. he represented the senatorial division of repentigny quebec until his death. he represented the senatorial division of repentigny kubek until his death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he represented the senatorial division of repentigny quebec until his death', 'he represented the sanitorial division of repentigny quebec until his death', 'he represented the sanitorial division of repentigny quebec until his death', 'he represented the senatorial division of repentigny quebec until his death', 'he represented the senatorial division of repentigny kubek until his death']
[ "a main wearing of white shirt is looking down at a round black container", "a main wearing a white shirt is looking down at a round black container", "a main wearing of white shirt is looking down at a round black container", "a main veering of white shirt is looking down at a round black container", "a main wearings of white shirt is looking down at a round black container" ]
a man wearing a white shirt is looking down at a round black container
a main wearing of white shirt is looking down at a round black container.
a main wearing a white shirt is looking down at a round black container. a main wearing of white shirt is looking down at a round black container. a main veering of white shirt is looking down at a round black container. a main wearings of white shirt is looking down at a round black container.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a main wearing of white shirt is looking down at a round black container', 'a main wearing a white shirt is looking down at a round black container', 'a main wearing of white shirt is looking down at a round black container', 'a main veering of white shirt is looking down at a round black container', 'a main wearings of white shirt is looking down at a round black container']
[ "the persistent nightmares will usually improve as the patient gets older", "the persistent night mask will usually improve as the patient gets older", "the persistent night mass will usually improve as the patient gets older", "the persistent nightmares will usually improve as the patient gets older", "and the persistent nightmares will usually improve as the patient gets older" ]
the persistent nightmares will usually improve as the patient gets older
the persistent nightmares will usually improve as the patient gets older.
the persistent night mask will usually improve as the patient gets older. the persistent night mass will usually improve as the patient gets older. the persistent nightmares will usually improve as the patient gets older. and the persistent nightmares will usually improve as the patient gets older.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the persistent nightmares will usually improve as the patient gets older', 'the persistent night mask will usually improve as the patient gets older', 'the persistent night mass will usually improve as the patient gets older', 'the persistent nightmares will usually improve as the patient gets older', 'and the persistent nightmares will usually improve as the patient gets older']
[ "this proved to be a major success and embarrassment for the government", "this proves to be a major success and embarrassment for the government", "this proved to be a major success in embarrassment for the government", "this proved to be a major success in the embarrassment of the government", "it is proved to be a major success and embarrassment for the government" ]
this proved to be a major success and an embarrassment for the government
this proved to be a major success and embarrassment for the government.
this proves to be a major success and embarrassment for the government. this proved to be a major success in embarrassment for the government. this proved to be a major success in the embarrassment of the government. it is proved to be a major success and embarrassment for the government.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this proved to be a major success and embarrassment for the government', 'this proves to be a major success and embarrassment for the government', 'this proved to be a major success in embarrassment for the government', 'this proved to be a major success in the embarrassment of the government', 'it is proved to be a major success and embarrassment for the government']
[ "you need to wait for the dialing tone before dialing the number", "you need to wait for the dialing tone before dialing the number", "you need to wait for the diling tone before dialing the number", "you need to wait for the dialing tone before dialing the number", "you need to wait for the diling tone before diling the number" ]
you need to wait for the dialing tone before dialing the number
you need to wait for the dialing tone before dialing the number.
you need to wait for the dialing tone before dialing the number. you need to wait for the diling tone before dialing the number. you need to wait for the dialing tone before dialing the number. you need to wait for the diling tone before diling the number.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you need to wait for the dialing tone before dialing the number', 'you need to wait for the dialing tone before dialing the number', 'you need to wait for the diling tone before dialing the number', 'you need to wait for the dialing tone before dialing the number', 'you need to wait for the diling tone before diling the number']
[ "chariots were used extensively during the spring and autumn period", "chariots were used extensively during the spring and autumn period", "chariots were used extensively during the spring and autumn period", "chariots were used extensively during the spring and autumn period", "chariots were used extensively during the spring and autumn period" ]
chariots were used extensively during the spring and autumn period
chariots were used extensively during the spring and autumn period.
chariots were used extensively during the spring and autumn period. chariots were used extensively during the spring and autumn period. chariots were used extensively during the spring and autumn period. chariots were used extensively during the spring and autumn period.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chariots were used extensively during the spring and autumn period', 'chariots were used extensively during the spring and autumn period', 'chariots were used extensively during the spring and autumn period', 'chariots were used extensively during the spring and autumn period', 'chariots were used extensively during the spring and autumn period']
[ "a hand card is pulled or pushed by one or more people", "a handcard is pulled or pushed by one or more people", "a hand card is pooled or pushed by one or more people", "a handcard is pulled or pushed by one or more people", "a hand card is pulled or pushed by one or more people" ]
a handcart is pulled or pushed by one or more people
a hand card is pulled or pushed by one or more people.
a handcard is pulled or pushed by one or more people. a hand card is pooled or pushed by one or more people. a handcard is pulled or pushed by one or more people. a hand card is pulled or pushed by one or more people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a hand card is pulled or pushed by one or more people', 'a handcard is pulled or pushed by one or more people', 'a hand card is pooled or pushed by one or more people', 'a handcard is pulled or pushed by one or more people', 'a hand card is pulled or pushed by one or more people']
[ "the concourse contains a ticket office to ellipses and shops", "the concourse contains a ticket office to ellips and shops", "the concourse contains a ticket office to ellips shops", "the concourse contains a ticket office toilet and shops", "the concourse contains a ticket office toilet and shops" ]
the concourse contains a ticket office toilets and shops
the concourse contains a ticket office to ellipses and shops.
the concourse contains a ticket office to ellips and shops. the concourse contains a ticket office to ellips shops. the concourse contains a ticket office toilet and shops. the concourse contains a ticket office toilet and shops.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the concourse contains a ticket office to ellipses and shops', 'the concourse contains a ticket office to ellips and shops', 'the concourse contains a ticket office to ellips shops', 'the concourse contains a ticket office toilet and shops', 'the concourse contains a ticket office toilet and shops']
[ "meanwhile repairs are being undertaken to secure the maintenance of the church is structure", "are being undertaken to secure the maintenance of the church is structure", "being undertaken to secure the maintenance of the church is structure", "meanwhile repairs are being undertaken to secure the maintenance of the church is structure", "meanwhile repairs are being undertaken to secure the maintenance of the church is destruction" ]
meanwhile repairs are being undertaken to secure the maintenance of the church is structure
meanwhile repairs are being undertaken to secure the maintenance of the church is structure.
are being undertaken to secure the maintenance of the church is structure. being undertaken to secure the maintenance of the church is structure. meanwhile repairs are being undertaken to secure the maintenance of the church is structure. meanwhile repairs are being undertaken to secure the maintenance of the church is destruction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['meanwhile repairs are being undertaken to secure the maintenance of the church is structure', 'are being undertaken to secure the maintenance of the church is structure', 'being undertaken to secure the maintenance of the church is structure', 'meanwhile repairs are being undertaken to secure the maintenance of the church is structure', 'meanwhile repairs are being undertaken to secure the maintenance of the church is destruction']
[ "the radial ordering supplies the convergence of the expansion", "the radial ordering supply is the convergence of the expansion", "the radial auditing supplies the convergence of the expansion", "the radial ordering supplies the converges of the expansion", "the radial ordering supplies the convergence of the expansion" ]
the radial ordering supplies the convergence of the expansion
the radial ordering supplies the convergence of the expansion.
the radial ordering supply is the convergence of the expansion. the radial auditing supplies the convergence of the expansion. the radial ordering supplies the converges of the expansion. the radial ordering supplies the convergence of the expansion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the radial ordering supplies the convergence of the expansion', 'the radial ordering supply is the convergence of the expansion', 'the radial auditing supplies the convergence of the expansion', 'the radial ordering supplies the converges of the expansion', 'the radial ordering supplies the convergence of the expansion']
[ "there is also the remains of the castle that belongs to roger of gloria", "there is also the remains of the castle that belongs to roger of gloria", "there is also the remains of the castle that belongs to roger of luria", "there is also the remains of the castle that belongs to roger of loria", "there is also the remains of the castle that belongs to roger of luria" ]
there is also the remains of the castle that belonged to roger of lauria
there is also the remains of the castle that belongs to roger of gloria.
there is also the remains of the castle that belongs to roger of gloria. there is also the remains of the castle that belongs to roger of luria. there is also the remains of the castle that belongs to roger of loria. there is also the remains of the castle that belongs to roger of luria.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is also the remains of the castle that belongs to roger of gloria', 'there is also the remains of the castle that belongs to roger of gloria', 'there is also the remains of the castle that belongs to roger of luria', 'there is also the remains of the castle that belongs to roger of loria', 'there is also the remains of the castle that belongs to roger of luria']
[ "their relationship is often set to be intense", "their relationship is often said to be intense", "their relationship is often set to be intense", "their relationship is often set to be intense", "their relationship is often set to be intense" ]
their relationship is often said to be intense
their relationship is often set to be intense.
their relationship is often said to be intense. their relationship is often set to be intense. their relationship is often set to be intense. their relationship is often set to be intense.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their relationship is often set to be intense', 'their relationship is often said to be intense', 'their relationship is often set to be intense', 'their relationship is often set to be intense', 'their relationship is often set to be intense']
[ "white concrete in the glass have been used", "white concrete in the guards have been used", "what concrete regards have been used", "white concrete in the glass had been used", "white concrete in the grass have been used" ]
white concrete and glass have been used
white concrete in the glass have been used.
white concrete in the guards have been used. what concrete regards have been used. white concrete in the glass had been used. white concrete in the grass have been used.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['white concrete in the glass have been used', 'white concrete in the guards have been used', 'what concrete regards have been used', 'white concrete in the glass had been used', 'white concrete in the grass have been used']
[ "a backlash of resistance and violence ensued", "a backlash of resistance and violence ensued", "a backlash of resistance and violence ensued", "a backlash of resistance and violence ensued", "a backlash of resistance and violence ensued" ]
a backlash of resistance and violence ensued
a backlash of resistance and violence ensued.
a backlash of resistance and violence ensued. a backlash of resistance and violence ensued. a backlash of resistance and violence ensued. a backlash of resistance and violence ensued.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a backlash of resistance and violence ensued', 'a backlash of resistance and violence ensued', 'a backlash of resistance and violence ensued', 'a backlash of resistance and violence ensued', 'a backlash of resistance and violence ensued']
[ "it enters a strict district of great yama then passes close to brayden moura", "it enters a strict district of great yama then passes close to brayden moura", "it enters the strict the strict of great yama then passes close to brayden moura", "it enters the strict the strict of great yama then passes close to brayden moura", "it enters a strict the strict of great yama then passes close to brayden moura" ]
it enters the district of great yarmouth then passes close to breydon water
it enters a strict district of great yama then passes close to brayden moura.
it enters a strict district of great yama then passes close to brayden moura. it enters the strict the strict of great yama then passes close to brayden moura. it enters the strict the strict of great yama then passes close to brayden moura. it enters a strict the strict of great yama then passes close to brayden moura.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it enters a strict district of great yama then passes close to brayden moura', 'it enters a strict district of great yama then passes close to brayden moura', 'it enters the strict the strict of great yama then passes close to brayden moura', 'it enters the strict the strict of great yama then passes close to brayden moura', 'it enters a strict the strict of great yama then passes close to brayden moura']
[ "heger is practicing genealogist in lexington kentucky", "heger is practicing genealogists in lexington kentucky", "heger is practicing gene approaches in lexington kentucky", "heger is practicing genealogists in lexington kentucky", "heger is practicing genealogists in lexington kentucky" ]
hager is a practicing gynecologist in lexington kentucky
heger is practicing genealogist in lexington kentucky.
heger is practicing genealogists in lexington kentucky. heger is practicing gene approaches in lexington kentucky. heger is practicing genealogists in lexington kentucky. heger is practicing genealogists in lexington kentucky.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['heger is practicing genealogist in lexington kentucky', 'heger is practicing genealogists in lexington kentucky', 'heger is practicing gene approaches in lexington kentucky', 'heger is practicing genealogists in lexington kentucky', 'heger is practicing genealogists in lexington kentucky']
[ "the early pair of paintings in the ophesia are usually accepted", "the early pair of paintings in the ophisi are usually accepted", "the early pair of paintings in the ofizia are usually accepted", "the early pair of paintings in the ophizia are usually accepted", "the early pair of paintings in the ephesia are usually accepted" ]
the early pair of paintings in the uffizi are usually accepted
the early pair of paintings in the ophesia are usually accepted.
the early pair of paintings in the ophisi are usually accepted. the early pair of paintings in the ofizia are usually accepted. the early pair of paintings in the ophizia are usually accepted. the early pair of paintings in the ephesia are usually accepted.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the early pair of paintings in the ophesia are usually accepted', 'the early pair of paintings in the ophisi are usually accepted', 'the early pair of paintings in the ofizia are usually accepted', 'the early pair of paintings in the ophizia are usually accepted', 'the early pair of paintings in the ephesia are usually accepted']
[ "gamble played connor back white receiver and all phases of a special teams at ohio state", "gamble played conor back white receiver and all phases of a special teams at ohio state", "gamble played connor back white receiver and all phases of a special teams at ohio state", "gamble played cornerback wide receiver and all phases of a special teams at ohio state", "gamble played cornerback wide receiver and all phases of a special teams at ohio state" ]
gamble played cornerback wide receiver and all phases of special teams at ohio state
gamble played connor back white receiver and all phases of a special teams at ohio state.
gamble played conor back white receiver and all phases of a special teams at ohio state. gamble played connor back white receiver and all phases of a special teams at ohio state. gamble played cornerback wide receiver and all phases of a special teams at ohio state. gamble played cornerback wide receiver and all phases of a special teams at ohio state.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gamble played connor back white receiver and all phases of a special teams at ohio state', 'gamble played conor back white receiver and all phases of a special teams at ohio state', 'gamble played connor back white receiver and all phases of a special teams at ohio state', 'gamble played cornerback wide receiver and all phases of a special teams at ohio state', 'gamble played cornerback wide receiver and all phases of a special teams at ohio state']
[ "full the original load of the downside", "full the original owner of the downside", "full the original logo of the downside", "full the original low of the downside", "full the original load of the down side" ]
foot the original owner of the town site
full the original load of the downside.
full the original owner of the downside. full the original logo of the downside. full the original low of the downside. full the original load of the down side.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['full the original load of the downside', 'full the original owner of the downside', 'full the original logo of the downside', 'full the original low of the downside', 'full the original load of the down side']
[ "bellamere ended up finishing a distant third", "bellamere ended up finishing a distant third", "bela mayor ended up finishing a distant third", "belemeer ended up finishing a distant third", "bellamere ended up finishing a distance third" ]
bellemare ended up finishing a distant third
bellamere ended up finishing a distant third.
bellamere ended up finishing a distant third. bela mayor ended up finishing a distant third. belemeer ended up finishing a distant third. bellamere ended up finishing a distance third.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bellamere ended up finishing a distant third', 'bellamere ended up finishing a distant third', 'bela mayor ended up finishing a distant third', 'belemeer ended up finishing a distant third', 'bellamere ended up finishing a distance third']
[ "nearby historical buildings include the kudo houses of newark park and outland manor", "nearby historical buildings include the kudo houses of newark park and outland manor", "nearby historical buildings include the cougar houses of newark park and outland manor", "nearby historical buildings include the kudo houses of newark park and outland manner", "nearby historical buildings include the kudo houses of new york park and outland manor" ]
nearby historical buildings include the tudor houses of newark park and owlpen manor
nearby historical buildings include the kudo houses of newark park and outland manor.
nearby historical buildings include the kudo houses of newark park and outland manor. nearby historical buildings include the cougar houses of newark park and outland manor. nearby historical buildings include the kudo houses of newark park and outland manner. nearby historical buildings include the kudo houses of new york park and outland manor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nearby historical buildings include the kudo houses of newark park and outland manor', 'nearby historical buildings include the kudo houses of newark park and outland manor', 'nearby historical buildings include the cougar houses of newark park and outland manor', 'nearby historical buildings include the kudo houses of newark park and outland manner', 'nearby historical buildings include the kudo houses of new york park and outland manor']
[ "the distinction has been made between state and non state observers", "the distinction has been made between state and non state observers", "the distinction has been made between state and non state observers", "the distinction has been made between state and non state observers", "the distinction has been made between state and non state observers" ]
a distinction has been made between state and non state observers
the distinction has been made between state and non state observers.
the distinction has been made between state and non state observers. the distinction has been made between state and non state observers. the distinction has been made between state and non state observers. the distinction has been made between state and non state observers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the distinction has been made between state and non state observers', 'the distinction has been made between state and non state observers', 'the distinction has been made between state and non state observers', 'the distinction has been made between state and non state observers', 'the distinction has been made between state and non state observers']
[ "technology plays out the best dance music videos", "technology lays out the best dance music videos", "the technology plays out the best dance music videos", "technology plays out the best dance music videos", "technology plays out the best dance music videos" ]
technologic plays out the best dance music videos
technology plays out the best dance music videos.
technology lays out the best dance music videos. the technology plays out the best dance music videos. technology plays out the best dance music videos. technology plays out the best dance music videos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['technology plays out the best dance music videos', 'technology lays out the best dance music videos', 'the technology plays out the best dance music videos', 'technology plays out the best dance music videos', 'technology plays out the best dance music videos']
[ "these two victories did much to promote southern hemisphere raising in the international arena", "these two victories did much to promote southern hemisphere raising in the international arena", "these two victories did much to promote southern hemisphere raising in the international arena", "these two victories did much to promote southern hemisphere raising in the international arena", "these two victories did much to promote southern hemisphere raising in the international arena" ]
these two victories did much to promote southern hemisphere racing in the international arena
these two victories did much to promote southern hemisphere raising in the international arena.
these two victories did much to promote southern hemisphere raising in the international arena. these two victories did much to promote southern hemisphere raising in the international arena. these two victories did much to promote southern hemisphere raising in the international arena. these two victories did much to promote southern hemisphere raising in the international arena.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these two victories did much to promote southern hemisphere raising in the international arena', 'these two victories did much to promote southern hemisphere raising in the international arena', 'these two victories did much to promote southern hemisphere raising in the international arena', 'these two victories did much to promote southern hemisphere raising in the international arena', 'these two victories did much to promote southern hemisphere raising in the international arena']
[ "in addition the northwest oklahoma city airport provides a thriving environment for aviation related", "in addition the northwest oklahoma city airport provides a thriving environment for aviation related arresting", "in addition the northwest oklahoma city airport provides a thriving environment for aviation related addressing", "in addition the northwest oklahoma city airport provides a thriving environment for aviation related industry", "in addition the northwest oklahoma city airport provides a thriving environment for aviation related unrestring" ]
in addition the northwest oklahoma city airport provides a thriving environment for aviation related industry
in addition the northwest oklahoma city airport provides a thriving environment for aviation related.
in addition the northwest oklahoma city airport provides a thriving environment for aviation related arresting. in addition the northwest oklahoma city airport provides a thriving environment for aviation related addressing. in addition the northwest oklahoma city airport provides a thriving environment for aviation related industry. in addition the northwest oklahoma city airport provides a thriving environment for aviation related unrestring.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in addition the northwest oklahoma city airport provides a thriving environment for aviation related', 'in addition the northwest oklahoma city airport provides a thriving environment for aviation related arresting', 'in addition the northwest oklahoma city airport provides a thriving environment for aviation related addressing', 'in addition the northwest oklahoma city airport provides a thriving environment for aviation related industry', 'in addition the northwest oklahoma city airport provides a thriving environment for aviation related unrestring']
[ "it is primarily eaten boiled and the whole grains are in purge", "it is primarily eaten boiled and the whole grains are in perch", "it is primarily eaten boiled and the whole grains are in porridge", "it is primarily eaten boiled and the whole grains are in parched", "it is primarily eaten boiled in the whole grains or in perch" ]
it is primarily eaten boiled in whole grains or in porridge
it is primarily eaten boiled and the whole grains are in purge.
it is primarily eaten boiled and the whole grains are in perch. it is primarily eaten boiled and the whole grains are in porridge. it is primarily eaten boiled and the whole grains are in parched. it is primarily eaten boiled in the whole grains or in perch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is primarily eaten boiled and the whole grains are in purge', 'it is primarily eaten boiled and the whole grains are in perch', 'it is primarily eaten boiled and the whole grains are in porridge', 'it is primarily eaten boiled and the whole grains are in parched', 'it is primarily eaten boiled in the whole grains or in perch']
[ "they went on tour presenting the project in different countries", "they went on tour presenting the project in different countries", "they went on tour presenting the project in different countries", "they went on tour presenting the project in different countries", "they went on tour presenting the project in different countries" ]
they went on tour presenting the project in different countries
they went on tour presenting the project in different countries.
they went on tour presenting the project in different countries. they went on tour presenting the project in different countries. they went on tour presenting the project in different countries. they went on tour presenting the project in different countries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they went on tour presenting the project in different countries', 'they went on tour presenting the project in different countries', 'they went on tour presenting the project in different countries', 'they went on tour presenting the project in different countries', 'they went on tour presenting the project in different countries']
[ "while there he was both full back and line backer", "while there he was both full back and line back up", "while there he was both full back and line backer", "while there he was both the full back end line backer", "while there he was both full back end line backer" ]
while there he was both a fullback and linebacker
while there he was both full back and line backer.
while there he was both full back and line back up. while there he was both full back and line backer. while there he was both the full back end line backer. while there he was both full back end line backer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['while there he was both full back and line backer', 'while there he was both full back and line back up', 'while there he was both full back and line backer', 'while there he was both the full back end line backer', 'while there he was both full back end line backer']
[ "walking around the botany gardens there are views of government house", "walking around the botany gardens there are views of government house", "walking around the botany gardens there are views of government houses", "walking around the botany garden there are views of government house", "walking around the botany gardens there are views of garnament house" ]
walking around the botanic gardens there are views of government house
walking around the botany gardens there are views of government house.
walking around the botany gardens there are views of government house. walking around the botany gardens there are views of government houses. walking around the botany garden there are views of government house. walking around the botany gardens there are views of garnament house.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['walking around the botany gardens there are views of government house', 'walking around the botany gardens there are views of government house', 'walking around the botany gardens there are views of government houses', 'walking around the botany garden there are views of government house', 'walking around the botany gardens there are views of garnament house']
[ "these physicals made it easier for compilers to emit fastcourt", "these principles made it easier for compilers to emit fastcourt", "this physicals made it easier for compilers to emit fastcourt", "this physicals made it easier for compilers to emit fastcourt", "these principles made it easier for compilers to emit fastcourt" ]
these principles made it easier for compilers to emit fast code
these physicals made it easier for compilers to emit fastcourt.
these principles made it easier for compilers to emit fastcourt. this physicals made it easier for compilers to emit fastcourt. this physicals made it easier for compilers to emit fastcourt. these principles made it easier for compilers to emit fastcourt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these physicals made it easier for compilers to emit fastcourt', 'these principles made it easier for compilers to emit fastcourt', 'this physicals made it easier for compilers to emit fastcourt', 'this physicals made it easier for compilers to emit fastcourt', 'these principles made it easier for compilers to emit fastcourt']
[ "skullrobe started his career as an academic player at least", "skull pro started his career as an academic player at least", "skull pro started his schedule as an academic player at least", "skullcrop started his career as an academic player at least", "skulltrop started his career as an academic player at least" ]
sculthorpe started his career as an academy player at leeds
skullrobe started his career as an academic player at least.
skull pro started his career as an academic player at least. skull pro started his schedule as an academic player at least. skullcrop started his career as an academic player at least. skulltrop started his career as an academic player at least.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['skullrobe started his career as an academic player at least', 'skull pro started his career as an academic player at least', 'skull pro started his schedule as an academic player at least', 'skullcrop started his career as an academic player at least', 'skulltrop started his career as an academic player at least']
[ "keepers later starred in the national tour", "keepers let us start in the national tour", "keepers let us start in the national tour", "keepers later starred in the national tour", "keepers let us start in the national tour" ]
capers later starred in the national tour
keepers later starred in the national tour.
keepers let us start in the national tour. keepers let us start in the national tour. keepers later starred in the national tour. keepers let us start in the national tour.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['keepers later starred in the national tour', 'keepers let us start in the national tour', 'keepers let us start in the national tour', 'keepers later starred in the national tour', 'keepers let us start in the national tour']
[ "she lived her final years in nursing home paid for by various supporters", "she lived her final years in nursing home paid for by various supporters", "she lived her final years in nursing home paid for by various supporters", "she lived her final years in nursing home paid for by various supporters", "she lived her final years in nursing home paid for by various supporters" ]
she lived her final years in a nursing home paid for by various supporters
she lived her final years in nursing home paid for by various supporters.
she lived her final years in nursing home paid for by various supporters. she lived her final years in nursing home paid for by various supporters. she lived her final years in nursing home paid for by various supporters. she lived her final years in nursing home paid for by various supporters.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she lived her final years in nursing home paid for by various supporters', 'she lived her final years in nursing home paid for by various supporters', 'she lived her final years in nursing home paid for by various supporters', 'she lived her final years in nursing home paid for by various supporters', 'she lived her final years in nursing home paid for by various supporters']
[ "momo is client base continues to expand", "momos climate based contingency expand", "momos cloud based contingency expand", "momo is client base continue to expand", "momos climb base continue to expand" ]
momart is client base continued to expand
momo is client base continues to expand.
momos climate based contingency expand. momos cloud based contingency expand. momo is client base continue to expand. momos climb base continue to expand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['momo is client base continues to expand', 'momos climate based contingency expand', 'momos cloud based contingency expand', 'momo is client base continue to expand', 'momos climb base continue to expand']
[ "it has been used to disquease the net as far as better than the stock market crisis", "it has been used to disquease the net as far as better than this stock market crisis", "it has been used to discrease the net as far as better than the stock market crisis", "it has been used to discrease the net as far as better than this stock market crisis", "it has been used to decrease the net as far as better than the stock market crisis" ]
it has been used to designate massacres military battles and stock market crashes
it has been used to disquease the net as far as better than the stock market crisis.
it has been used to disquease the net as far as better than this stock market crisis. it has been used to discrease the net as far as better than the stock market crisis. it has been used to discrease the net as far as better than this stock market crisis. it has been used to decrease the net as far as better than the stock market crisis.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has been used to disquease the net as far as better than the stock market crisis', 'it has been used to disquease the net as far as better than this stock market crisis', 'it has been used to discrease the net as far as better than the stock market crisis', 'it has been used to discrease the net as far as better than this stock market crisis', 'it has been used to decrease the net as far as better than the stock market crisis']
[ "previously they had won one or the other", "previously they had won one or the other", "previously they had worn one or the other", "previously they had warned one or the other", "previously they had worn one or the other" ]
previously they had worn one or the other
previously they had won one or the other.
previously they had won one or the other. previously they had worn one or the other. previously they had warned one or the other. previously they had worn one or the other.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['previously they had won one or the other', 'previously they had won one or the other', 'previously they had worn one or the other', 'previously they had warned one or the other', 'previously they had worn one or the other']
[ "the family seed is mundan house near watford wat fortshire", "the family see it is mundenhouse near watford watfordshire", "the family seed is moonland house near watford wat fortshire", "the family see it is mundan house near watford watfordshire", "the family see it is mundan house near watford watford here" ]
the family seat is munden house near watford hertfordshire
the family seed is mundan house near watford wat fortshire.
the family see it is mundenhouse near watford watfordshire. the family seed is moonland house near watford wat fortshire. the family see it is mundan house near watford watfordshire. the family see it is mundan house near watford watford here.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the family seed is mundan house near watford wat fortshire', 'the family see it is mundenhouse near watford watfordshire', 'the family seed is moonland house near watford wat fortshire', 'the family see it is mundan house near watford watfordshire', 'the family see it is mundan house near watford watford here']
[ "it is landmark in the history of physiology", "it is landmark in the history of physiology", "it is landmark in the history of physiology", "it is landmarked in the history of physiology", "it is landmarked in the history of physiology" ]
it is a landmark in the history of physiology
it is landmark in the history of physiology.
it is landmark in the history of physiology. it is landmark in the history of physiology. it is landmarked in the history of physiology. it is landmarked in the history of physiology.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is landmark in the history of physiology', 'it is landmark in the history of physiology', 'it is landmark in the history of physiology', 'it is landmarked in the history of physiology', 'it is landmarked in the history of physiology']
[ "he taught there amongst others the british harp were two or so alias parish alvers", "he taught there amongst others the british harp were two or so alias parish alvers", "he taught there amongst others the british harp were two or so alias parish al verse", "he taught there amongst others the british harp were two or so alias parish al vas", "he taught there amongst others the british harp were two or so elias parish al vas" ]
he taught there amongst others the british harp virtuoso elias parish alvars
he taught there amongst others the british harp were two or so alias parish alvers.
he taught there amongst others the british harp were two or so alias parish alvers. he taught there amongst others the british harp were two or so alias parish al verse. he taught there amongst others the british harp were two or so alias parish al vas. he taught there amongst others the british harp were two or so elias parish al vas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he taught there amongst others the british harp were two or so alias parish alvers', 'he taught there amongst others the british harp were two or so alias parish alvers', 'he taught there amongst others the british harp were two or so alias parish al verse', 'he taught there amongst others the british harp were two or so alias parish al vas', 'he taught there amongst others the british harp were two or so elias parish al vas']
[ "the times referred to him as the notorious krishna verma", "the times referred to him as the notorious krishna verma", "the time is referred to him as the notorious krishna verma", "the time to refer to him as the notorious krishna verma", "the times referred to him as the notorious krishna verma" ]
the times referred to him as the notorious krishnavarma
the times referred to him as the notorious krishna verma.
the times referred to him as the notorious krishna verma. the time is referred to him as the notorious krishna verma. the time to refer to him as the notorious krishna verma. the times referred to him as the notorious krishna verma.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the times referred to him as the notorious krishna verma', 'the times referred to him as the notorious krishna verma', 'the time is referred to him as the notorious krishna verma', 'the time to refer to him as the notorious krishna verma', 'the times referred to him as the notorious krishna verma']
[ "the mayor is directly elected using a first pass the post electoral system", "the mayor is directly elected using a first pass the post electoral system", "the mayor is directly elected using a first pass the post electoral system", "the maier is directly elected using a first pass the post electoral system", "the mayor is directly elected using a first pass the post electoral system" ]
the mayor is directly elected using a first past the post electoral system
the mayor is directly elected using a first pass the post electoral system.
the mayor is directly elected using a first pass the post electoral system. the mayor is directly elected using a first pass the post electoral system. the maier is directly elected using a first pass the post electoral system. the mayor is directly elected using a first pass the post electoral system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mayor is directly elected using a first pass the post electoral system', 'the mayor is directly elected using a first pass the post electoral system', 'the mayor is directly elected using a first pass the post electoral system', 'the maier is directly elected using a first pass the post electoral system', 'the mayor is directly elected using a first pass the post electoral system']
[ "the teachings address doctrinal as well as practical topics", "the teaching address doctrinal as well as practical topics", "the teaching address doctrinal as well as practical topics", "the teaching address doctrinal as well as practical topics", "the teaching address doctrinal as well as practical topics" ]
the teachings address doctrinal as well as practical topics
the teachings address doctrinal as well as practical topics.
the teaching address doctrinal as well as practical topics. the teaching address doctrinal as well as practical topics. the teaching address doctrinal as well as practical topics. the teaching address doctrinal as well as practical topics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the teachings address doctrinal as well as practical topics', 'the teaching address doctrinal as well as practical topics', 'the teaching address doctrinal as well as practical topics', 'the teaching address doctrinal as well as practical topics', 'the teaching address doctrinal as well as practical topics']
[ "histamine therapy for treatment of multiple sclerosis is currently being studied", "histermine therapy for treatment of multiple sclerosis is currently being studied", "histermine therapy for treatment of multiple sclerosis is currently being studied", "histermine therapy for treatment of multiple sclerosis is currently being studied", "histamine therapy for treatment of multiple sclerosis is currently being studied" ]
histamine therapy for treatment of multiple sclerosis is currently being studied
histamine therapy for treatment of multiple sclerosis is currently being studied.
histermine therapy for treatment of multiple sclerosis is currently being studied. histermine therapy for treatment of multiple sclerosis is currently being studied. histermine therapy for treatment of multiple sclerosis is currently being studied. histamine therapy for treatment of multiple sclerosis is currently being studied.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['histamine therapy for treatment of multiple sclerosis is currently being studied', 'histermine therapy for treatment of multiple sclerosis is currently being studied', 'histermine therapy for treatment of multiple sclerosis is currently being studied', 'histermine therapy for treatment of multiple sclerosis is currently being studied', 'histamine therapy for treatment of multiple sclerosis is currently being studied']
[ "the mansion is very steep and it is child is traverse of vermont state forest", "the mansion is very steep and it is child is traverse of vermont state forest", "the mansion is very steep and it is charles traverse of vermont state forest", "the matchin is very steep and it is charles traverse of vermont state forest", "the mansion is very steep and it is charles traverse of vermont state forest" ]
the mountain is very steep and its trails traverse a vermont state forest
the mansion is very steep and it is child is traverse of vermont state forest.
the mansion is very steep and it is child is traverse of vermont state forest. the mansion is very steep and it is charles traverse of vermont state forest. the matchin is very steep and it is charles traverse of vermont state forest. the mansion is very steep and it is charles traverse of vermont state forest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mansion is very steep and it is child is traverse of vermont state forest', 'the mansion is very steep and it is child is traverse of vermont state forest', 'the mansion is very steep and it is charles traverse of vermont state forest', 'the matchin is very steep and it is charles traverse of vermont state forest', 'the mansion is very steep and it is charles traverse of vermont state forest']
[ "the term field quantity is deprecated by that standard", "the term field quantity is deprecated by that standard", "the term field quantity is deprecated by that standard", "the term field quantity is deprecated by that standard", "the term field quantity is deprecated by that standard" ]
the term field quantity is deprecated by that standard
the term field quantity is deprecated by that standard.
the term field quantity is deprecated by that standard. the term field quantity is deprecated by that standard. the term field quantity is deprecated by that standard. the term field quantity is deprecated by that standard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the term field quantity is deprecated by that standard', 'the term field quantity is deprecated by that standard', 'the term field quantity is deprecated by that standard', 'the term field quantity is deprecated by that standard', 'the term field quantity is deprecated by that standard']
[ "vote for the new democrats", "vote for the new democrats", "vote for the new democrats", "vote for the new democrats", "vote for the new democrats" ]
vote for the new democrats
vote for the new democrats.
vote for the new democrats. vote for the new democrats. vote for the new democrats. vote for the new democrats.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['vote for the new democrats', 'vote for the new democrats', 'vote for the new democrats', 'vote for the new democrats', 'vote for the new democrats']
[ "cars which nishikawa likes use a device called differential lock", "cards which nishikawa likes use a device called differential lock", "cars which nishikawa likes use a device called differential lock", "cars which nishikawa likes use a device called differential lock", "cars which nishikawa likes use a device called differential lock" ]
cars which nishikawa likes use a device called differential lock
cars which nishikawa likes use a device called differential lock.
cards which nishikawa likes use a device called differential lock. cars which nishikawa likes use a device called differential lock. cars which nishikawa likes use a device called differential lock. cars which nishikawa likes use a device called differential lock.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cars which nishikawa likes use a device called differential lock', 'cards which nishikawa likes use a device called differential lock', 'cars which nishikawa likes use a device called differential lock', 'cars which nishikawa likes use a device called differential lock', 'cars which nishikawa likes use a device called differential lock']
[ "the embassy was then to destroy their sifa machines", "then the sea was then to destroy their sifa machines", "the embassy was then to destroy their sifa machines", "then the sea was then to destroy their sci fi machines", "then we see what is done to destroy their sci fi machines" ]
the embassy was then to destroy their cipher machines
the embassy was then to destroy their sifa machines.
then the sea was then to destroy their sifa machines. the embassy was then to destroy their sifa machines. then the sea was then to destroy their sci fi machines. then we see what is done to destroy their sci fi machines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the embassy was then to destroy their sifa machines', 'then the sea was then to destroy their sifa machines', 'the embassy was then to destroy their sifa machines', 'then the sea was then to destroy their sci fi machines', 'then we see what is done to destroy their sci fi machines']
[ "if so then durkheim is era was empirical not logical", "if so then durkheim is arrivals empirical not logical", "if so then durkheim is irrelevant empirical not logical", "if so then durkheim is eras was empirical not logical", "if so then durkheim is era was empirical not logical" ]
if so then durkheim is error was empirical not logical
if so then durkheim is era was empirical not logical.
if so then durkheim is arrivals empirical not logical. if so then durkheim is irrelevant empirical not logical. if so then durkheim is eras was empirical not logical. if so then durkheim is era was empirical not logical.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if so then durkheim is era was empirical not logical', 'if so then durkheim is arrivals empirical not logical', 'if so then durkheim is irrelevant empirical not logical', 'if so then durkheim is eras was empirical not logical', 'if so then durkheim is era was empirical not logical']
[ "most patients do not receive therapy because of the high spontaneous recovery rate", "most patients do not receive therapy because of the high spontaneous recovery rate", "most patients do not receive therapy because of the high spontaneous recovery rate", "most patients do not receive therapy because of the high spontaneous recovery rate", "most patients do not receive therapy because of the high spot tennis recovery rate" ]
most patients do not receive therapy because of the high spontaneous recovery rate
most patients do not receive therapy because of the high spontaneous recovery rate.
most patients do not receive therapy because of the high spontaneous recovery rate. most patients do not receive therapy because of the high spontaneous recovery rate. most patients do not receive therapy because of the high spontaneous recovery rate. most patients do not receive therapy because of the high spot tennis recovery rate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most patients do not receive therapy because of the high spontaneous recovery rate', 'most patients do not receive therapy because of the high spontaneous recovery rate', 'most patients do not receive therapy because of the high spontaneous recovery rate', 'most patients do not receive therapy because of the high spontaneous recovery rate', 'most patients do not receive therapy because of the high spot tennis recovery rate']
[ "his name was originally george", "his name was originally george", "his name was originally george", "his name was originally george", "his name was originally george" ]
his name was originally george
his name was originally george.
his name was originally george. his name was originally george. his name was originally george. his name was originally george.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his name was originally george', 'his name was originally george', 'his name was originally george', 'his name was originally george', 'his name was originally george']
[ "the next dynasty in austria the habsburgs were originally not descendants of the babenburgs", "the next dynasty in austria the habsburgs were originally not descendants of the babenburgs", "the next dynasty in austria the habsburgs were originally not descendants of the babbenburgs", "the next dynasty in austria the habsburgs were originally not descendants of the babinburgs", "the next dynasty in austria the habsburgs were originally not descendants of the babenburgs" ]
the next dynasty in austria the habsburgs were originally not descendants of the babenbergs
the next dynasty in austria the habsburgs were originally not descendants of the babenburgs.
the next dynasty in austria the habsburgs were originally not descendants of the babenburgs. the next dynasty in austria the habsburgs were originally not descendants of the babbenburgs. the next dynasty in austria the habsburgs were originally not descendants of the babinburgs. the next dynasty in austria the habsburgs were originally not descendants of the babenburgs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next dynasty in austria the habsburgs were originally not descendants of the babenburgs', 'the next dynasty in austria the habsburgs were originally not descendants of the babenburgs', 'the next dynasty in austria the habsburgs were originally not descendants of the babbenburgs', 'the next dynasty in austria the habsburgs were originally not descendants of the babinburgs', 'the next dynasty in austria the habsburgs were originally not descendants of the babenburgs']
[ "trans texas then changed his name to texas international airlines", "trans texas then changed its name to texas international airlines", "trans texas then changed his name to texas international airlines", "trans texas then changed his name to texas international airlines", "trans texas then changed his name to texas international airlines" ]
trans texas then changed its name to texas international airlines
trans texas then changed his name to texas international airlines.
trans texas then changed its name to texas international airlines. trans texas then changed his name to texas international airlines. trans texas then changed his name to texas international airlines. trans texas then changed his name to texas international airlines.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['trans texas then changed his name to texas international airlines', 'trans texas then changed its name to texas international airlines', 'trans texas then changed his name to texas international airlines', 'trans texas then changed his name to texas international airlines', 'trans texas then changed his name to texas international airlines']
[ "the alumni also have mailing groups on the internet through which they interact", "the alumni also have mailing groups on the internet through which they interact", "the alumni also have mailing groups on the internet through which they interact", "the alumni also have mailing groups on the internet through which they interact", "the alumni also have mailing groups on the internet through which they interact" ]
the alumni also have mailing groups on the internet through which they interact
the alumni also have mailing groups on the internet through which they interact.
the alumni also have mailing groups on the internet through which they interact. the alumni also have mailing groups on the internet through which they interact. the alumni also have mailing groups on the internet through which they interact. the alumni also have mailing groups on the internet through which they interact.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the alumni also have mailing groups on the internet through which they interact', 'the alumni also have mailing groups on the internet through which they interact', 'the alumni also have mailing groups on the internet through which they interact', 'the alumni also have mailing groups on the internet through which they interact', 'the alumni also have mailing groups on the internet through which they interact']
[ "this would affect all high compression engines of all markers", "this would affect all high compression engines of all marcus", "this would affect all high compression engines of all markers", "this would affect all high compression engines of all markus", "this would affect all high compression engines of all markers" ]
this would affect all high compression engines of all marques
this would affect all high compression engines of all markers.
this would affect all high compression engines of all marcus. this would affect all high compression engines of all markers. this would affect all high compression engines of all markus. this would affect all high compression engines of all markers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this would affect all high compression engines of all markers', 'this would affect all high compression engines of all marcus', 'this would affect all high compression engines of all markers', 'this would affect all high compression engines of all markus', 'this would affect all high compression engines of all markers']
[ "the mora valley then became a travelway for various spanish explorers and others", "the more a valley then became a travelway for various spanish explorers and others", "the mora valley then became a travel way for various spanish explorers and others", "the moor valley then became a travelway for various spanish explorers and others", "the more valley then became a travelway for various spanish explorers and others" ]
the mora valley then became a travel way for various spanish explorers and others
the mora valley then became a travelway for various spanish explorers and others.
the more a valley then became a travelway for various spanish explorers and others. the mora valley then became a travel way for various spanish explorers and others. the moor valley then became a travelway for various spanish explorers and others. the more valley then became a travelway for various spanish explorers and others.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mora valley then became a travelway for various spanish explorers and others', 'the more a valley then became a travelway for various spanish explorers and others', 'the mora valley then became a travel way for various spanish explorers and others', 'the moor valley then became a travelway for various spanish explorers and others', 'the more valley then became a travelway for various spanish explorers and others']
[ "he had to be read his investing logic to the set towards baptist church", "he attributed his investing logic to the set towards baptist church", "he had to be read his interesting music to the set towards baptist church", "he attribute his investing logic to the set towards baptist church", "he had to be rid of his investing logic to the set towards baptist church" ]
he attributed his interest in music to the seth ward baptist church
he had to be read his investing logic to the set towards baptist church.
he attributed his investing logic to the set towards baptist church. he had to be read his interesting music to the set towards baptist church. he attribute his investing logic to the set towards baptist church. he had to be rid of his investing logic to the set towards baptist church.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had to be read his investing logic to the set towards baptist church', 'he attributed his investing logic to the set towards baptist church', 'he had to be read his interesting music to the set towards baptist church', 'he attribute his investing logic to the set towards baptist church', 'he had to be rid of his investing logic to the set towards baptist church']
[ "his boy next door looks continually had him placed as the sincere and kind leading man", "his boy next door looks continually had him placed as the sincere and kind leading man", "his boynext door looks continually had him placed as the sincere and kind leading man", "his boy next door looks continually had him placed as the sincere and kind leading man", "his boy next door looks continually had him placed as the sincere and kind leading man" ]
his boy next door looks continually had him placed as the sincere and kind leading man
his boy next door looks continually had him placed as the sincere and kind leading man.
his boy next door looks continually had him placed as the sincere and kind leading man. his boynext door looks continually had him placed as the sincere and kind leading man. his boy next door looks continually had him placed as the sincere and kind leading man. his boy next door looks continually had him placed as the sincere and kind leading man.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his boy next door looks continually had him placed as the sincere and kind leading man', 'his boy next door looks continually had him placed as the sincere and kind leading man', 'his boynext door looks continually had him placed as the sincere and kind leading man', 'his boy next door looks continually had him placed as the sincere and kind leading man', 'his boy next door looks continually had him placed as the sincere and kind leading man']
[ "example of algebraic structures include groups rings fields and lettuces", "example of algebraic structures include groups rings fields and letesies", "example of algebraic structures include groups rings fields and lettuces", "example of algebraic structures include groups rings fields and lettucees", "example of algebraic structures include groups rings fields and latissies" ]
examples of algebraic structures include groups rings fields and lattices
example of algebraic structures include groups rings fields and lettuces.
example of algebraic structures include groups rings fields and letesies. example of algebraic structures include groups rings fields and lettuces. example of algebraic structures include groups rings fields and lettucees. example of algebraic structures include groups rings fields and latissies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['example of algebraic structures include groups rings fields and lettuces', 'example of algebraic structures include groups rings fields and letesies', 'example of algebraic structures include groups rings fields and lettuces', 'example of algebraic structures include groups rings fields and lettucees', 'example of algebraic structures include groups rings fields and latissies']
[ "the tool takes place in a small group and is accompanied by a guide", "the tour takes place in a small group and is accompanied by a guide", "the tool takes place in a small group and is accompanied by a guile", "the tool takes place in a small group and is accompanied by guile", "the tool takes place in a small group and is accompanied by guile" ]
the tour takes place in a small group and is accompanied by a guide
the tool takes place in a small group and is accompanied by a guide.
the tour takes place in a small group and is accompanied by a guide. the tool takes place in a small group and is accompanied by a guile. the tool takes place in a small group and is accompanied by guile. the tool takes place in a small group and is accompanied by guile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tool takes place in a small group and is accompanied by a guide', 'the tour takes place in a small group and is accompanied by a guide', 'the tool takes place in a small group and is accompanied by a guile', 'the tool takes place in a small group and is accompanied by guile', 'the tool takes place in a small group and is accompanied by guile']
[ "this was where he was first wounded and escaped to nearby barangay manatel", "this was where he was first wounded and escaped to nearby barangay manatell", "this was where he was first wounded and escaped to nearby barangay manathel", "this was where he was first wounded and escaped to nearby barangay manatelle", "this was where he was first wounded and escaped to nearby barangay manatal" ]
this was where he was first wounded and escaped to nearby barangay manatal
this was where he was first wounded and escaped to nearby barangay manatel.
this was where he was first wounded and escaped to nearby barangay manatell. this was where he was first wounded and escaped to nearby barangay manathel. this was where he was first wounded and escaped to nearby barangay manatelle. this was where he was first wounded and escaped to nearby barangay manatal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was where he was first wounded and escaped to nearby barangay manatel', 'this was where he was first wounded and escaped to nearby barangay manatell', 'this was where he was first wounded and escaped to nearby barangay manathel', 'this was where he was first wounded and escaped to nearby barangay manatelle', 'this was where he was first wounded and escaped to nearby barangay manatal']
[ "until his death he sat on the board of trustees of daya art foundation", "until his death he sat on the board of trustees of daya art foundation", "until his death he sat on the board of trustees of daia art foundation", "until his death he sat on the board of trustees of daya art foundation", "until his death he sat on the board of trustees of daya ad foundation" ]
until his death he sat on the board of trustees of dia art foundation
until his death he sat on the board of trustees of daya art foundation.
until his death he sat on the board of trustees of daya art foundation. until his death he sat on the board of trustees of daia art foundation. until his death he sat on the board of trustees of daya art foundation. until his death he sat on the board of trustees of daya ad foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['until his death he sat on the board of trustees of daya art foundation', 'until his death he sat on the board of trustees of daya art foundation', 'until his death he sat on the board of trustees of daia art foundation', 'until his death he sat on the board of trustees of daya art foundation', 'until his death he sat on the board of trustees of daya ad foundation']
[ "this characteristic would compensate for the reduction in the link area by providing additional lift", "this characteristic would compensate for the reduction in link area by providing additional lift", "this characteristic would compensate for the reduction in rig area by providing additional lift", "this characteristic would compensate for the reduction in the rig area by providing additional lift", "this characteristic would compensate for the reduction link area by providing additional lift" ]
this characteristic would compensate for the reduction in wing area by providing additional lift
this characteristic would compensate for the reduction in the link area by providing additional lift.
this characteristic would compensate for the reduction in link area by providing additional lift. this characteristic would compensate for the reduction in rig area by providing additional lift. this characteristic would compensate for the reduction in the rig area by providing additional lift. this characteristic would compensate for the reduction link area by providing additional lift.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this characteristic would compensate for the reduction in the link area by providing additional lift', 'this characteristic would compensate for the reduction in link area by providing additional lift', 'this characteristic would compensate for the reduction in rig area by providing additional lift', 'this characteristic would compensate for the reduction in the rig area by providing additional lift', 'this characteristic would compensate for the reduction link area by providing additional lift']
[ "when he was a child he learned how to play the button accordion", "when he was a child he learned how to play the button accordion", "when he was a child he learnt how to play the button accordion", "when he was a child he learnt how to play the button accordion", "when he was a child he learned how to play the button accordion" ]
when he was a child he learned how to play the button accordion
when he was a child he learned how to play the button accordion.
when he was a child he learned how to play the button accordion. when he was a child he learnt how to play the button accordion. when he was a child he learnt how to play the button accordion. when he was a child he learned how to play the button accordion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when he was a child he learned how to play the button accordion', 'when he was a child he learned how to play the button accordion', 'when he was a child he learnt how to play the button accordion', 'when he was a child he learnt how to play the button accordion', 'when he was a child he learned how to play the button accordion']
[ "names that were not assigned are marx and gray", "names that were not assigned are marks in gray", "next i will not assign the marks in gray", "names that were not assigned are marx and gray", "names that were not assigned are marks and gray" ]
names that were not assigned are marked in gray
names that were not assigned are marx and gray.
names that were not assigned are marks in gray. next i will not assign the marks in gray. names that were not assigned are marx and gray. names that were not assigned are marks and gray.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['names that were not assigned are marx and gray', 'names that were not assigned are marks in gray', 'next i will not assign the marks in gray', 'names that were not assigned are marx and gray', 'names that were not assigned are marks and gray']
[ "some religious organizations are exempted from legislation", "some religious organizations were exempted from legislation", "some religious organizations are exempted from legislation", "some religious organizations are exempted from legislation", "some religious organizations were exempted from legislation" ]
some religious organizations are exempted from legislation
some religious organizations are exempted from legislation.
some religious organizations were exempted from legislation. some religious organizations are exempted from legislation. some religious organizations are exempted from legislation. some religious organizations were exempted from legislation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some religious organizations are exempted from legislation', 'some religious organizations were exempted from legislation', 'some religious organizations are exempted from legislation', 'some religious organizations are exempted from legislation', 'some religious organizations were exempted from legislation']
[ "the park was started by a former town supervisor florence corn with a grant", "the park was started by a former town supervisor florence karn with a grant", "the park was started by a former town supervisor florence carn with a grant", "the park was started by a former town supervisor florence corn with a grant", "the park was started by a former town supervise a florence corn with a grant" ]
the park was started by former town supervisor florence corron with a grant
the park was started by a former town supervisor florence corn with a grant.
the park was started by a former town supervisor florence karn with a grant. the park was started by a former town supervisor florence carn with a grant. the park was started by a former town supervisor florence corn with a grant. the park was started by a former town supervise a florence corn with a grant.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the park was started by a former town supervisor florence corn with a grant', 'the park was started by a former town supervisor florence karn with a grant', 'the park was started by a former town supervisor florence carn with a grant', 'the park was started by a former town supervisor florence corn with a grant', 'the park was started by a former town supervise a florence corn with a grant']
[ "his mother was part irish his father a french canadian carpenter", "his mother was part irish his father of french canadian carpenter", "his mother was part irish his father a french canadian carpenter", "his mother was part ayrish his father of french canadian carpenter", "his mother was part irish his father french canadian carpenter" ]
his mother was part irish his father a french canadian carpenter
his mother was part irish his father a french canadian carpenter.
his mother was part irish his father of french canadian carpenter. his mother was part irish his father a french canadian carpenter. his mother was part ayrish his father of french canadian carpenter. his mother was part irish his father french canadian carpenter.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his mother was part irish his father a french canadian carpenter', 'his mother was part irish his father of french canadian carpenter', 'his mother was part irish his father a french canadian carpenter', 'his mother was part ayrish his father of french canadian carpenter', 'his mother was part irish his father french canadian carpenter']
[ "again the album reaches the number one position in the german alternative charts", "again the album reaches the number one position in the german alternative charts", "again the album reaches the no one position in the german alternative charts", "again the album reaches the number one position in the german alternative charts", "again the album reaches the nozero point one position in the german alternative charts" ]
again the album reaches the number one position in the german alternative charts
again the album reaches the number one position in the german alternative charts.
again the album reaches the number one position in the german alternative charts. again the album reaches the no one position in the german alternative charts. again the album reaches the number one position in the german alternative charts. again the album reaches the nozero point one position in the german alternative charts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['again the album reaches the number one position in the german alternative charts', 'again the album reaches the number one position in the german alternative charts', 'again the album reaches the no one position in the german alternative charts', 'again the album reaches the number one position in the german alternative charts', 'again the album reaches the nozero point one position in the german alternative charts']
[ "their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg", "their headquarters is kaiser j f village in not two thousand and sixty meters south of johannesburg", "their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg", "the ahead quarters is kaiser james village in not two thousand and sixty meters south of johannesburg", "their head quarters is kaiser james village in not two thousand and sixty meters south of johannesburg" ]
their headquarters is kaizer chiefs village in naturena six kilometers south of johannesburg
their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg.
their headquarters is kaiser j f village in not two thousand and sixty meters south of johannesburg. their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg. the ahead quarters is kaiser james village in not two thousand and sixty meters south of johannesburg. their head quarters is kaiser james village in not two thousand and sixty meters south of johannesburg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg', 'their headquarters is kaiser j f village in not two thousand and sixty meters south of johannesburg', 'their headquarters is kaiser james village in not two thousand and sixty meters south of johannesburg', 'the ahead quarters is kaiser james village in not two thousand and sixty meters south of johannesburg', 'their head quarters is kaiser james village in not two thousand and sixty meters south of johannesburg']
[ "you laid us a black pool as director of football", "he laid us a black pool as director of football", "you laid us a blackpool as director of football", "you later serve blackpool as director of football", "you like us so blackpool is director of football" ]
he later served blackpool as director of football
you laid us a black pool as director of football.
he laid us a black pool as director of football. you laid us a blackpool as director of football. you later serve blackpool as director of football. you like us so blackpool is director of football.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you laid us a black pool as director of football', 'he laid us a black pool as director of football', 'you laid us a blackpool as director of football', 'you later serve blackpool as director of football', 'you like us so blackpool is director of football']
[ "snowstorms often change through freezing rain and then rain thus melting accumulated snow", "snow storms often change through freezing rain and then rain thus melting accumulated snow", "snow storms often change through freezing rain and then rain thus melting accumulated snow", "snow storms often change through freezing rain and then rain thus melting accumulated snow", "snow storms often change through freezing rain and then rain thus melting accumulated snow" ]
snowstorms often change through freezing rain and then rain thus melting accumulated snow
snowstorms often change through freezing rain and then rain thus melting accumulated snow.
snow storms often change through freezing rain and then rain thus melting accumulated snow. snow storms often change through freezing rain and then rain thus melting accumulated snow. snow storms often change through freezing rain and then rain thus melting accumulated snow. snow storms often change through freezing rain and then rain thus melting accumulated snow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['snowstorms often change through freezing rain and then rain thus melting accumulated snow', 'snow storms often change through freezing rain and then rain thus melting accumulated snow', 'snow storms often change through freezing rain and then rain thus melting accumulated snow', 'snow storms often change through freezing rain and then rain thus melting accumulated snow', 'snow storms often change through freezing rain and then rain thus melting accumulated snow']
[ "this was disputed by docs who claimed that the received was fabricated", "this was disputed by docs who claimed that the received was fabricated", "this was disputed by docs who claimed that the receipt was fabricated", "this was disputed by docs who claimed that the receipt was fabricated", "this was disputed by ducks who claimed that the received was fabricated" ]
this was disputed by dux who claimed that the receipt was fabricated
this was disputed by docs who claimed that the received was fabricated.
this was disputed by docs who claimed that the received was fabricated. this was disputed by docs who claimed that the receipt was fabricated. this was disputed by docs who claimed that the receipt was fabricated. this was disputed by ducks who claimed that the received was fabricated.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this was disputed by docs who claimed that the received was fabricated', 'this was disputed by docs who claimed that the received was fabricated', 'this was disputed by docs who claimed that the receipt was fabricated', 'this was disputed by docs who claimed that the receipt was fabricated', 'this was disputed by ducks who claimed that the received was fabricated']
[ "occasionally duets are an improvisation between artists such as under pressure", "occasionally duets are an improvisation between artists such as under pressure", "occasionally duets are an improvisation between artists such as under pressure", "occasionally duets are an improvisation between artists such as under pressure", "occasionally duets are an improvisation between artists such as under pressure" ]
occasionally duets are an improvisation between artists such as under pressure
occasionally duets are an improvisation between artists such as under pressure.
occasionally duets are an improvisation between artists such as under pressure. occasionally duets are an improvisation between artists such as under pressure. occasionally duets are an improvisation between artists such as under pressure. occasionally duets are an improvisation between artists such as under pressure.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['occasionally duets are an improvisation between artists such as under pressure', 'occasionally duets are an improvisation between artists such as under pressure', 'occasionally duets are an improvisation between artists such as under pressure', 'occasionally duets are an improvisation between artists such as under pressure', 'occasionally duets are an improvisation between artists such as under pressure']
[ "he decided early that he wanted to be in the tuition and event hall", "he had decided early that he wanted to be in the tuition and event hall", "he decided really that he wanted to be in the tuition and event hall", "he decided early that he wanted to be in the tuition and event hall", "he had decided really that he wanted to be in the tuition and event hall" ]
he decided early that he wanted to be an electrician and inventor
he decided early that he wanted to be in the tuition and event hall.
he had decided early that he wanted to be in the tuition and event hall. he decided really that he wanted to be in the tuition and event hall. he decided early that he wanted to be in the tuition and event hall. he had decided really that he wanted to be in the tuition and event hall.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he decided early that he wanted to be in the tuition and event hall', 'he had decided early that he wanted to be in the tuition and event hall', 'he decided really that he wanted to be in the tuition and event hall', 'he decided early that he wanted to be in the tuition and event hall', 'he had decided really that he wanted to be in the tuition and event hall']
[ "a regular forward rate agreement lends the money at once", "a regular forward rate agreement lends the money at once", "a regular forward rate agreement lends the money at once", "a regular forward rate agreement lends the money at once", "a regular forward rate agreement lends the money at once" ]
a regular forward rate agreement lends the money at once
a regular forward rate agreement lends the money at once.
a regular forward rate agreement lends the money at once. a regular forward rate agreement lends the money at once. a regular forward rate agreement lends the money at once. a regular forward rate agreement lends the money at once.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a regular forward rate agreement lends the money at once', 'a regular forward rate agreement lends the money at once', 'a regular forward rate agreement lends the money at once', 'a regular forward rate agreement lends the money at once', 'a regular forward rate agreement lends the money at once']
[ "emulation of voter cards is in development", "emulation of voodoo cards is in development", "emulation of verder cods is in development", "emulation of verticods is in development", "emulation of verder cards is in development" ]
emulation of voodoo cards is in development
emulation of voter cards is in development.
emulation of voodoo cards is in development. emulation of verder cods is in development. emulation of verticods is in development. emulation of verder cards is in development.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['emulation of voter cards is in development', 'emulation of voodoo cards is in development', 'emulation of verder cods is in development', 'emulation of verticods is in development', 'emulation of verder cards is in development']
[ "bill quicky also criticized morris is interpretation of thermodynamics", "bill quikki also criticized morris is interpretation of thermodynamics", "bill kwiki also criticized morris is interpretation of thermodynamics", "pilled quickie also criticized morris is interpretation of thermodynamics", "piliquiki also criticized morris is interpretation of thermodynamics" ]
pigliucci also criticized morris interpretation of thermodynamics
bill quicky also criticized morris is interpretation of thermodynamics.
bill quikki also criticized morris is interpretation of thermodynamics. bill kwiki also criticized morris is interpretation of thermodynamics. pilled quickie also criticized morris is interpretation of thermodynamics. piliquiki also criticized morris is interpretation of thermodynamics.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bill quicky also criticized morris is interpretation of thermodynamics', 'bill quikki also criticized morris is interpretation of thermodynamics', 'bill kwiki also criticized morris is interpretation of thermodynamics', 'pilled quickie also criticized morris is interpretation of thermodynamics', 'piliquiki also criticized morris is interpretation of thermodynamics']
[ "a number of institutions maintain museums some of them open to a general public", "a number of institutions maintain museums some of them open to the general public", "a number of institutions maintain museums some of them are open to a general public", "a number of institutions maintain museums some of them are open to the general public", "a number of institutions maintain these meetings some of them open to the general public" ]
a number of institutions maintain museums some of them open to the general public
a number of institutions maintain museums some of them open to a general public.
a number of institutions maintain museums some of them open to the general public. a number of institutions maintain museums some of them are open to a general public. a number of institutions maintain museums some of them are open to the general public. a number of institutions maintain these meetings some of them open to the general public.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a number of institutions maintain museums some of them open to a general public', 'a number of institutions maintain museums some of them open to the general public', 'a number of institutions maintain museums some of them are open to a general public', 'a number of institutions maintain museums some of them are open to the general public', 'a number of institutions maintain these meetings some of them open to the general public']
[ "these were the nyaks of madurai nyaks of anjur and nyaks of jinti", "these were the nyaks of madurai nyaks of njur and nyaks of jinti", "these were the nyaks of madurai nyaks of endure and nyaks of jinti", "these were the nyaks of madurai nyaks of anjur and nyaks of jinji", "these were the nyaks of madurai nyaks of njur and nyaks of jinji" ]
these were the nayaks of madurai nayaks of tanjore and nayaks of gingee
these were the nyaks of madurai nyaks of anjur and nyaks of jinti.
these were the nyaks of madurai nyaks of njur and nyaks of jinti. these were the nyaks of madurai nyaks of endure and nyaks of jinti. these were the nyaks of madurai nyaks of anjur and nyaks of jinji. these were the nyaks of madurai nyaks of njur and nyaks of jinji.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these were the nyaks of madurai nyaks of anjur and nyaks of jinti', 'these were the nyaks of madurai nyaks of njur and nyaks of jinti', 'these were the nyaks of madurai nyaks of endure and nyaks of jinti', 'these were the nyaks of madurai nyaks of anjur and nyaks of jinji', 'these were the nyaks of madurai nyaks of njur and nyaks of jinji']
[ "this farm was called belvisa farm", "his farm was called belvisa farm", "this farm was called bellavisa farm", "this farm was called belvissa farm", "this farm was called bela vissa farm" ]
his farm was called bella vista farm
this farm was called belvisa farm.
his farm was called belvisa farm. this farm was called bellavisa farm. this farm was called belvissa farm. this farm was called bela vissa farm.
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 farm was called belvisa farm', 'his farm was called belvisa farm', 'this farm was called bellavisa farm', 'this farm was called belvissa farm', 'this farm was called bela vissa farm']