hypothesis listlengths 5 5 | transcription stringlengths 2 920 | input1 stringlengths 3 1.18k ⌀ | hypothesis_concatenated stringlengths 15 5.37k ⌀ | source stringclasses 8
values | id stringclasses 0
values | dummy_str stringclasses 1
value | dummy_list listlengths 0 0 | prompt stringlengths 138 6.25k |
|---|---|---|---|---|---|---|---|---|
[
"the unincooperated community of apollonia is located in the town",
"the unincorporated community of apollonia is located in the town",
"the unincooperated community of apalonia is located in the town",
"the unincorporated community of apalonia is located in the town",
"the unincooperated community of apple... | the unincorporated community of apollonia is located in the town | the unincooperated community of apollonia is located in the town. | the unincorporated community of apollonia is located in the town. the unincooperated community of apalonia is located in the town. the unincorporated community of apalonia is located in the town. the unincooperated community of appleonia is located in the town. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unincooperated community of apollonia is located in the town', 'the unincorporated community of apollonia is located in the town', 'the unincooperated community of apalonia is located in the town', 'the un... | |
[
"interbreeding is underday to reduce the incidence of primary lancel accession in the miniature",
"interbreeding is underday to reduce the incidence of primary lancel oxidation in the miniature",
"interbreeding is underway to reduce the incidence of primary lancel accession in the miniature",
"interbreeding i... | interbreeding is undertaken to reduce the incidence of primary lens luxation in the miniature | interbreeding is underday to reduce the incidence of primary lancel accession in the miniature. | interbreeding is underday to reduce the incidence of primary lancel oxidation in the miniature. interbreeding is underway to reduce the incidence of primary lancel accession in the miniature. interbreeding is underday going to reduce the incidence of primary lancel oxidation in the miniature. interpreting is underday t... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['interbreeding is underday to reduce the incidence of primary lancel accession in the miniature', 'interbreeding is underday to reduce the incidence of primary lancel oxidation in the miniature', 'interbreeding... | |
[
"blizzard also travels the united states",
"blizzard also travels the united states",
"blizzard also travels to the united states",
"blizzard also travels the united states",
"blizzard also travels to the united states"
] | blizzard also travels the united states | blizzard also travels the united states. | blizzard also travels the united states. blizzard also travels to the united states. blizzard also travels the united states. blizzard also travels to the united states. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['blizzard also travels the united states', 'blizzard also travels the united states', 'blizzard also travels to the united states', 'blizzard also travels the united states', 'blizzard also travels to the unite... | |
[
"normal cells are more able than cancer cells to repair damage from chemotherapy drugs",
"normal cells are more able than cancer cells to repair damage from chemotherapy drugs",
"normal cells are more able than cancer cells to repair damage from the chemotherapy drugs",
"normal cells are more able than cancer... | normal cells are more able than cancer cells to repair damage from chemotherapy drugs | normal cells are more able than cancer cells to repair damage from chemotherapy drugs. | normal cells are more able than cancer cells to repair damage from chemotherapy drugs. normal cells are more able than cancer cells to repair damage from the chemotherapy drugs. normal cells are more able than cancer cells to repair damage from chemotherapy drugs. normal cells are more able than cancer cells to repair ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['normal cells are more able than cancer cells to repair damage from chemotherapy drugs', 'normal cells are more able than cancer cells to repair damage from chemotherapy drugs', 'normal cells are more able than... | |
[
"captures are notated with mx connecting with the start and n squares",
"captures are notated with mx connecting with the start and n squares",
"captures are notated with mx connecting with the start and n squares",
"captures are not rated with mx connecting with the start and n squares",
"captures are nota... | captures are notated with an x connecting the start and end squares | captures are notated with mx connecting with the start and n squares. | captures are notated with mx connecting with the start and n squares. captures are notated with mx connecting with the start and n squares. captures are not rated with mx connecting with the start and n squares. captures are notated with mx connecting with the start and n squares. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['captures are notated with mx connecting with the start and n squares', 'captures are notated with mx connecting with the start and n squares', 'captures are notated with mx connecting with the start and n squa... | |
[
"fert enough had four full line stores in the chain",
"furtinoff had four full line stores in the chain",
"furtinoff had four full line stores in the chain",
"fert enough had four full line stores in the chain",
"fertinoff had four full line stores in the chain"
] | fortunoff had four full line stores in the chain | fert enough had four full line stores in the chain. | furtinoff had four full line stores in the chain. furtinoff had four full line stores in the chain. fert enough had four full line stores in the chain. fertinoff had four full line stores in the chain. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fert enough had four full line stores in the chain', 'furtinoff had four full line stores in the chain', 'furtinoff had four full line stores in the chain', 'fert enough had four full line stores in the chain'... | |
[
"tuna is married and has four children",
"tina is married and has four children",
"tuna is married and has four children",
"tuna is married and has four children",
"tina is married and has four children"
] | tina is married and has four children | tuna is married and has four children. | tina is married and has four children. tuna is married and has four children. tuna is married and has four children. tina is married and has four children. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tuna is married and has four children', 'tina is married and has four children', 'tuna is married and has four children', 'tuna is married and has four children', 'tina is married and has four children'] | |
[
"jnapa valley is also experiencing precious for increased urbanization and road wake up training",
"jnapa valley is also experiencing pressures for increased urbanization and road wake up training",
"jnapa valley is also experiencing precious for increased urbanization and road wake up training",
"jnapa valle... | the napa valley is also experiencing pressures for increased urbanization and roadway upgrading | jnapa valley is also experiencing precious for increased urbanization and road wake up training. | jnapa valley is also experiencing pressures for increased urbanization and road wake up training. jnapa valley is also experiencing precious for increased urbanization and road wake up training. jnapa valley is also experiencing pressures for increased urbanization and road wake up training. napa valley is also experie... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jnapa valley is also experiencing precious for increased urbanization and road wake up training', 'jnapa valley is also experiencing pressures for increased urbanization and road wake up training', 'jnapa vall... | |
[
"see also slow scan television",
"see also slowscan television",
"see also slow scan television",
"see also slow scan television",
"see also slowscan television"
] | see also slow scan television | see also slow scan television. | see also slowscan television. see also slow scan television. see also slow scan television. see also slowscan television. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see also slow scan television', 'see also slowscan television', 'see also slow scan television', 'see also slow scan television', 'see also slowscan television'] | |
[
"so my lady says she has been bored to death",
"so my lady says she has been bored to death",
"my lady says she has been bored to death",
"my lady says she has been bored to death",
"my lady says she has been bored to death"
] | my lady says she has been bored to death | so my lady says she has been bored to death. | so my lady says she has been bored to death. my lady says she has been bored to death. my lady says she has been bored to death. my lady says she has been bored to death. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so my lady says she has been bored to death', 'so my lady says she has been bored to death', 'my lady says she has been bored to death', 'my lady says she has been bored to death', 'my lady says she has been b... | |
[
"determinals are served by shalu buffs",
"determinals are served by shadow buffs",
"determinals are served by a shadow buffs",
"determinals are served by shalubafs",
"determine those yourself by a shallow baths"
] | the terminals are served by a shuttle bus | determinals are served by shalu buffs. | determinals are served by shadow buffs. determinals are served by a shadow buffs. determinals are served by shalubafs. determine those yourself by a shallow baths. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['determinals are served by shalu buffs', 'determinals are served by shadow buffs', 'determinals are served by a shadow buffs', 'determinals are served by shalubafs', 'determine those yourself by a shallow baths... | |
[
"the new publisher is asia times holdings limited registered in hong kong",
"the newly published shaz asia times holdings limited registered in hong kong",
"the new publisher is asia times holdings limited registered in hong kong",
"the new publisher has asia times holdings limited registered in hong kong",
... | the new publisher is asia times holdings limited registered in hong kong | the new publisher is asia times holdings limited registered in hong kong. | the newly published shaz asia times holdings limited registered in hong kong. the new publisher is asia times holdings limited registered in hong kong. the new publisher has asia times holdings limited registered in hong kong. the new publisher is asia times holdings limited registered in hong kong. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the new publisher is asia times holdings limited registered in hong kong', 'the newly published shaz asia times holdings limited registered in hong kong', 'the new publisher is asia times holdings limited regi... | |
[
"modernville is also known to be the home of the birdwing butterfly",
"modernville is also known to be the home of the bird wing butterfly",
"modernville is also known to be the home of the bird wing butterfly",
"modernville is also known to be the home of the bird wing butterfly",
"modernville is also know... | modanville is also known to be the home of the birdwing butterfly | modernville is also known to be the home of the birdwing butterfly. | modernville is also known to be the home of the bird wing butterfly. modernville is also known to be the home of the bird wing butterfly. modernville is also known to be the home of the bird wing butterfly. modernville is also known to be the home of the bird wing butterfly. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['modernville is also known to be the home of the birdwing butterfly', 'modernville is also known to be the home of the bird wing butterfly', 'modernville is also known to be the home of the bird wing butterfly'... | |
[
"in this year it goes to egypt after its break with pata eight eventually slipped into decline",
"initially it goes to page after it is break with part eight eventually slipped into decline",
"initially it goes to page after its break with part eight eventually slipped into decline",
"initially it goes to pag... | initially close to egypt after its break with fatah it eventually slipped into decline | in this year it goes to egypt after its break with pata eight eventually slipped into decline. | initially it goes to page after it is break with part eight eventually slipped into decline. initially it goes to page after its break with part eight eventually slipped into decline. initially it goes to page after it is break with pata eight eventually slipped into decline. initially it goes to page after it is break... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this year it goes to egypt after its break with pata eight eventually slipped into decline', 'initially it goes to page after it is break with part eight eventually slipped into decline', 'initially it goes... | |
[
"the series also had an unnamed dog that looked much like snoopy",
"the series also had an unnamed dog that looked much like snoopy",
"the series also had an unnamed dog that looked much like snoopy",
"the series also had an unnamed dog that looked much like snoopy",
"the series also had an unnamed dog that... | the series also had an unnamed dog that looked much like snoopy | the series also had an unnamed dog that looked much like snoopy. | the series also had an unnamed dog that looked much like snoopy. the series also had an unnamed dog that looked much like snoopy. the series also had an unnamed dog that looked much like snoopy. the series also had an unnamed dog that looked much like snubi. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the series also had an unnamed dog that looked much like snoopy', 'the series also had an unnamed dog that looked much like snoopy', 'the series also had an unnamed dog that looked much like snoopy', 'the seri... | |
[
"one is first through the same spot system the output is g",
"one is first through the same spot system the output is zero",
"one is first so the same is for the system the output is g",
"and this is first through the same spot system the output is g",
"one is first so the same is for the system the output ... | when this is passed through the same smoothing system the output is zero | one is first through the same spot system the output is g. | one is first through the same spot system the output is zero. one is first so the same is for the system the output is g. and this is first through the same spot system the output is g. one is first so the same is for the system the output is zero. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one is first through the same spot system the output is g', 'one is first through the same spot system the output is zero', 'one is first so the same is for the system the output is g', 'and this is first thro... | |
[
"it is also the name of a mountain or a mountain range",
"if this is also the name of a mountain or a mountain range",
"it is also the name of a mountain or a mountain range",
"it is also the name of a mountain or a mountain range",
"it is also the name of a mountain or mountain range"
] | it is also the name of a mountain or mountain range | it is also the name of a mountain or a mountain range. | if this is also the name of a mountain or a mountain range. it is also the name of a mountain or a mountain range. it is also the name of a mountain or a mountain range. it is also the name of a mountain or mountain range. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also the name of a mountain or a mountain range', 'if this is also the name of a mountain or a mountain range', 'it is also the name of a mountain or a mountain range', 'it is also the name of a mountain... | |
[
"he died there and was buried in belu cemetery bucharest",
"he died there and was buried in belu cemetery bucharest",
"he died there and was buried in belleux cemetery bucharest",
"he died there and was buried in belou cemetery bucharest",
"he died there and was buried in beloo cemetery bucharest"
] | he died there and was buried in bellu cemetery bucharest | he died there and was buried in belu cemetery bucharest. | he died there and was buried in belu cemetery bucharest. he died there and was buried in belleux cemetery bucharest. he died there and was buried in belou cemetery bucharest. he died there and was buried in beloo cemetery bucharest. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he died there and was buried in belu cemetery bucharest', 'he died there and was buried in belu cemetery bucharest', 'he died there and was buried in belleux cemetery bucharest', 'he died there and was buried ... | |
[
"the film has been declared a hit",
"the film has been declared a heat",
"the film has been declared a hit",
"the film has been declared a hit",
"the film has been declared a hit"
] | the film has been declared a hit | the film has been declared a hit. | the film has been declared a heat. the film has been declared a hit. the film has been declared a hit. the film has been declared a hit. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the film has been declared a hit', 'the film has been declared a heat', 'the film has been declared a hit', 'the film has been declared a hit', 'the film has been declared a hit'] | |
[
"the tonight is show returns using retating guess hers including comic george carlin",
"the tonight is show returns using rotating guest hosts including comic george carlin",
"the tonight is show returns using retating guest hosts including comic george carlin",
"the tonight show returns using retating guest ... | the tonight show returned to using rotating guest hosts including comic george carlin | the tonight is show returns using retating guess hers including comic george carlin. | the tonight is show returns using rotating guest hosts including comic george carlin. the tonight is show returns using retating guest hosts including comic george carlin. the tonight show returns using retating guest hosts including comic george carlin. the tonight is show returned using retating guess hers including ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the tonight is show returns using retating guess hers including comic george carlin', 'the tonight is show returns using rotating guest hosts including comic george carlin', 'the tonight is show returns using ... | |
[
"as the sun rises the following day all charges against stem meet are dropped",
"as the sun rises the following day all charges against ten meet are dropped",
"as the sun rises the following day all charges against stanley are dropped",
"as the sun rises the following day all charges against stenny are droppe... | as the sun rises the following day all charges against stanley are dropped | as the sun rises the following day all charges against stem meet are dropped. | as the sun rises the following day all charges against ten meet are dropped. as the sun rises the following day all charges against stanley are dropped. as the sun rises the following day all charges against stenny are dropped. as the sun rises the following day all charges against stanley are dropped. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as the sun rises the following day all charges against stem meet are dropped', 'as the sun rises the following day all charges against ten meet are dropped', 'as the sun rises the following day all charges aga... | |
[
"this is part of public debate about the incident",
"this is part of a public debate about the incident",
"this is part a public debate about the incident",
"this is part a public debate about the incident",
"this is part of a public debate about the incident"
] | this spurred a public debate about the incident | this is part of public debate about the incident. | this is part of a public debate about the incident. this is part a public debate about the incident. this is part a public debate about the incident. this is part of a public debate about the incident. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is part of public debate about the incident', 'this is part of a public debate about the incident', 'this is part a public debate about the incident', 'this is part a public debate about the incident', 't... | |
[
"expression uses unique technology called skeletalstrike",
"expression uses unique technology called skeletal stroke",
"expression uses unique technology called skeletal strike",
"expression uses unique technology called skeletal strike",
"expression uses unique technology called skeletal streak"
] | expression uses a unique technology called skeletal stroke | expression uses unique technology called skeletalstrike. | expression uses unique technology called skeletal stroke. expression uses unique technology called skeletal strike. expression uses unique technology called skeletal strike. expression uses unique technology called skeletal streak. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['expression uses unique technology called skeletalstrike', 'expression uses unique technology called skeletal stroke', 'expression uses unique technology called skeletal strike', 'expression uses unique technol... | |
[
"however the purpose behind the words and the exclusions themselves is far from clear",
"however the purpose behind the words and the exclusions themselves is far from clear",
"however the purpose behind the words and the exclusions themselves is far from clear",
"however the purpose behind the words and the ... | however the purpose behind the words and the exclusions themselves is far from clear | however the purpose behind the words and the exclusions themselves is far from clear. | however the purpose behind the words and the exclusions themselves is far from clear. however the purpose behind the words and the exclusions themselves is far from clear. however the purpose behind the words and the exclusions themselves is far from clear. however the purpose behind the words and the exclusions themse... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the purpose behind the words and the exclusions themselves is far from clear', 'however the purpose behind the words and the exclusions themselves is far from clear', 'however the purpose behind the wo... | |
[
"her spoiler crew is beautiful and especially the deep things of the spirit",
"her spoil crew is beautiful and especially the deep things of the spirit",
"her spoiled beautiful and explicit deep things of the spirit",
"her spoiler crew is beautiful and especially deep things of the spirit",
"her spoil crew ... | his poetry is beautiful and expresses the deep things of the spirit | her spoiler crew is beautiful and especially the deep things of the spirit. | her spoil crew is beautiful and especially the deep things of the spirit. her spoiled beautiful and explicit deep things of the spirit. her spoiler crew is beautiful and especially deep things of the spirit. her spoil crew is beautiful and especially deep things of the spirit. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her spoiler crew is beautiful and especially the deep things of the spirit', 'her spoil crew is beautiful and especially the deep things of the spirit', 'her spoiled beautiful and explicit deep things of the s... | |
[
"her parents divorced when she was eight years old",
"her parents divorced when she was eight years old",
"her parents divorced when she was eight years old",
"her parents divorced and she was eight years old",
"her parents divorced when she was eight years old"
] | her parents divorced when she was eight years old | her parents divorced when she was eight years old. | her parents divorced when she was eight years old. her parents divorced when she was eight years old. her parents divorced and she was eight years old. her parents divorced when she was eight years old. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her parents divorced when she was eight years old', 'her parents divorced when she was eight years old', 'her parents divorced when she was eight years old', 'her parents divorced and she was eight years old',... | |
[
"joyce is collaborative with los angeles based visual artist alexandra grant",
"joyce is collaborative with los angeles based visual artist alexandra grant",
"joyce is collaborative with los angeles based visual artist alexandra grant",
"joyce is collaborated with los angeles based visual artist alexandra gra... | joyce has collaborated with los angeles based visual artist alexandra grant | joyce is collaborative with los angeles based visual artist alexandra grant. | joyce is collaborative with los angeles based visual artist alexandra grant. joyce is collaborative with los angeles based visual artist alexandra grant. joyce is collaborated with los angeles based visual artist alexandra grant. joyce is collaborative with los angeles based visual artist alexander grant. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['joyce is collaborative with los angeles based visual artist alexandra grant', 'joyce is collaborative with los angeles based visual artist alexandra grant', 'joyce is collaborative with los angeles based visua... | |
[
"maurya is completed his cooling at saint winaminsha is college",
"maurya is completed his cooling at saint winaminsha is college",
"mori is completed his cooling at saint von amhinschis college",
"maurya is completed his cooling at saint vannaminsha is college",
"maurya is completed his cooling at saint va... | morris completed his schooling at saint bonaventure is college | maurya is completed his cooling at saint winaminsha is college. | maurya is completed his cooling at saint winaminsha is college. mori is completed his cooling at saint von amhinschis college. maurya is completed his cooling at saint vannaminsha is college. maurya is completed his cooling at saint vannaminsha is college. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['maurya is completed his cooling at saint winaminsha is college', 'maurya is completed his cooling at saint winaminsha is college', 'mori is completed his cooling at saint von amhinschis college', 'maurya is co... | |
[
"martucci was championed by arturo tuscanyi during much of the latter is career",
"martu chi was championed by arturo tuscanyi during much of the latter is career",
"martu chi was championed by arturo toscanini during much of the latter is career",
"marto chi was championed by arturo tuscanyi during much of t... | martucci was championed by arturo toscanini during much of the latter is career | martucci was championed by arturo tuscanyi during much of the latter is career. | martu chi was championed by arturo tuscanyi during much of the latter is career. martu chi was championed by arturo toscanini during much of the latter is career. marto chi was championed by arturo tuscanyi during much of the latter is career. martuchi was championed by arturo tuscanyi during much of the latter is care... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['martucci was championed by arturo tuscanyi during much of the latter is career', 'martu chi was championed by arturo tuscanyi during much of the latter is career', 'martu chi was championed by arturo toscanini... | |
[
"he became a fellow first of peter house and lead of fembroke college cambridges",
"he became a fellow first of peter house and led of fembroke college cambridges",
"he became a fellow first of peter house and leader of fembroke college cambridges",
"he became a fellow first of fit a house and lead of fembrok... | he became a fellow first of peterhouse and later of pembroke college cambridge | he became a fellow first of peter house and lead of fembroke college cambridges. | he became a fellow first of peter house and led of fembroke college cambridges. he became a fellow first of peter house and leader of fembroke college cambridges. he became a fellow first of fit a house and lead of fembroke college cambridges. he became a fellow first of a theater house and lead of fembroke college cam... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he became a fellow first of peter house and lead of fembroke college cambridges', 'he became a fellow first of peter house and led of fembroke college cambridges', 'he became a fellow first of peter house and ... | |
[
"what is more many of the prototypes do not appear to even attempt to boost",
"what is more many of the products do not appear to even attempt to boost",
"what is more many of the protocols do not appear to even attempt to boost",
"what is more many of the product has do not appear to even attempt to boost",
... | what is more many of the prototypes do not appear to even attempt to boot | what is more many of the prototypes do not appear to even attempt to boost. | what is more many of the products do not appear to even attempt to boost. what is more many of the protocols do not appear to even attempt to boost. what is more many of the product has do not appear to even attempt to boost. what is more many of the product does do not appear to even attempt to boost. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['what is more many of the prototypes do not appear to even attempt to boost', 'what is more many of the products do not appear to even attempt to boost', 'what is more many of the protocols do not appear to eve... | |
[
"slaylim events took place at okie whitewater center near ducktown tennessee",
"slaylim events took place at okie whitewater center near duck town tennessee",
"slaylim events took place at oki whitewater center near ducktown tennessee",
"slaylim events took place at oki whitewater center near duck town tennes... | slalom events took place at ocoee whitewater center near ducktown tennessee | slaylim events took place at okie whitewater center near ducktown tennessee. | slaylim events took place at okie whitewater center near duck town tennessee. slaylim events took place at oki whitewater center near ducktown tennessee. slaylim events took place at oki whitewater center near duck town tennessee. slaylim events took place at okie whitewater center near doctown tennessee. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['slaylim events took place at okie whitewater center near ducktown tennessee', 'slaylim events took place at okie whitewater center near duck town tennessee', 'slaylim events took place at oki whitewater center... | |
[
"more simply it is the temperature at which a liquid becomes a gas",
"more simply it is the temperature at which a liquid becomes and gas",
"more simply it is the temperature at which a liquid becomes a gas",
"more simply it is the temperature at which a liquid becomes and gets",
"more simply it is the temp... | more simply it is the temperature at which a liquid becomes a gas | more simply it is the temperature at which a liquid becomes a gas. | more simply it is the temperature at which a liquid becomes and gas. more simply it is the temperature at which a liquid becomes a gas. more simply it is the temperature at which a liquid becomes and gets. more simply it is the temperature at which a liquid becomes and gas. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more simply it is the temperature at which a liquid becomes a gas', 'more simply it is the temperature at which a liquid becomes and gas', 'more simply it is the temperature at which a liquid becomes a gas', '... | |
[
"it is today one of tarkovsky is lesser known works",
"it is today one of tarkovsky is lesser known works",
"it is today one of tarkovsky is listen own works",
"it is today one of takovsky is lesser known works",
"it is today one of tarkovski is lesser known works"
] | it is today one of tarkovsky is lesser known works | it is today one of tarkovsky is lesser known works. | it is today one of tarkovsky is lesser known works. it is today one of tarkovsky is listen own works. it is today one of takovsky is lesser known works. it is today one of tarkovski is lesser known works. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is today one of tarkovsky is lesser known works', 'it is today one of tarkovsky is lesser known works', 'it is today one of tarkovsky is listen own works', 'it is today one of takovsky is lesser known works... | |
[
"this generated quick revenues for apple during a time of financial crisis",
"this generated quick revenues for apple during the time of financial crisis",
"this generated quick revenues for apple during a time of financial crisis",
"this generated quick revenues to apple during a time of financial crisis",
... | this generated quick revenues for apple during a time of financial crisis | this generated quick revenues for apple during a time of financial crisis. | this generated quick revenues for apple during the time of financial crisis. this generated quick revenues for apple during a time of financial crisis. this generated quick revenues to apple during a time of financial crisis. this generated quick revenues for apple during a time of financial crisis. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this generated quick revenues for apple during a time of financial crisis', 'this generated quick revenues for apple during the time of financial crisis', 'this generated quick revenues for apple during a time... | |
[
"shutting all systems down for the evening",
"shutting all systems down for the evening",
"shutting all systems down for the evening",
"shutting all systems down for the evening",
"shutting all systems down for the evening"
] | shutting all systems down for the evening | shutting all systems down for the evening. | shutting all systems down for the evening. shutting all systems down for the evening. shutting all systems down for the evening. shutting all systems down for the evening. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shutting all systems down for the evening', 'shutting all systems down for the evening', 'shutting all systems down for the evening', 'shutting all systems down for the evening', 'shutting all systems down for... | |
[
"before his involvement with culture club he was ahead just saying his native assets",
"before his involvement with culture club he was a head just saying his native assets",
"before his involvement with culture club he was ahead just seeing his native assets",
"before his involvement with culture club he was... | before his involvement with culture club hay was a hairdresser in his native essex | before his involvement with culture club he was ahead just saying his native assets. | before his involvement with culture club he was a head just saying his native assets. before his involvement with culture club he was ahead just seeing his native assets. before his involvement with culture club he was ahead just saying his native assets. before his involvement with culture club he was a hairdresser se... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['before his involvement with culture club he was ahead just saying his native assets', 'before his involvement with culture club he was a head just saying his native assets', 'before his involvement with cultur... | |
[
"ultimately the syncing relocation was discontinued",
"ultimately the synxing relocation was discontinued",
"ultimately the singsing relocation was discontinued",
"ultimately the syncing relocation was discontinued",
"ultimately the singsing relocation was discontinued"
] | ultimately the sing sing relocation was discontinued | ultimately the syncing relocation was discontinued. | ultimately the synxing relocation was discontinued. ultimately the singsing relocation was discontinued. ultimately the syncing relocation was discontinued. ultimately the singsing relocation was discontinued. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ultimately the syncing relocation was discontinued', 'ultimately the synxing relocation was discontinued', 'ultimately the singsing relocation was discontinued', 'ultimately the syncing relocation was disconti... | |
[
"in september laburn was in sydney for the vice panials now salute",
"in september laburn was in sydney for the vice penials now salute",
"in september laburn was in sydney for the vice pranials now salute",
"in september laverne was in sydney for the vice penials now salute",
"in september laburn was in sy... | in september labuan was in sydney for the bicentennial naval salute | in september laburn was in sydney for the vice panials now salute. | in september laburn was in sydney for the vice penials now salute. in september laburn was in sydney for the vice pranials now salute. in september laverne was in sydney for the vice penials now salute. in september laburn was in sydney for the best perennials now salute. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in september laburn was in sydney for the vice panials now salute', 'in september laburn was in sydney for the vice penials now salute', 'in september laburn was in sydney for the vice pranials now salute', 'i... | |
[
"it is a volcanic plug and is high",
"it is a volcanic plug and is high",
"it is a volcanic plug and it is high",
"it is a volcanic plug and is high",
"it is a volcanic plug and is high"
] | it is a volcanic plug and is high | it is a volcanic plug and is high. | it is a volcanic plug and is high. it is a volcanic plug and it is high. it is a volcanic plug and is high. it is a volcanic plug and is high. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a volcanic plug and is high', 'it is a volcanic plug and is high', 'it is a volcanic plug and it is high', 'it is a volcanic plug and is high', 'it is a volcanic plug and is high'] | |
[
"follow in the tool to promote ask rufus fisher finally left the room",
"follow in a tool to promote ask rufus fisher finally left the room",
"follow the tool to promote ask rufus fisher finally left the room",
"following the tool to promote ask rufus fisher finally left the room",
"follow in the tool to pr... | following a tour to promote ask rufus fischer finally left the group | follow in the tool to promote ask rufus fisher finally left the room. | follow in a tool to promote ask rufus fisher finally left the room. follow the tool to promote ask rufus fisher finally left the room. following the tool to promote ask rufus fisher finally left the room. follow in the tool to promote ask rufus fisher finally left the group. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['follow in the tool to promote ask rufus fisher finally left the room', 'follow in a tool to promote ask rufus fisher finally left the room', 'follow the tool to promote ask rufus fisher finally left the room',... | |
[
"passive theo is also the name of one of the near reads",
"passive theo is also the name of one of the near reads",
"passive theo is also the name of one of the nair eads",
"passive theo is also the name of one of the near reeds",
"pasathea is also the name of one of the near reads"
] | pasithea is also the name of one of the nereids | passive theo is also the name of one of the near reads. | passive theo is also the name of one of the near reads. passive theo is also the name of one of the nair eads. passive theo is also the name of one of the near reeds. pasathea is also the name of one of the near reads. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['passive theo is also the name of one of the near reads', 'passive theo is also the name of one of the near reads', 'passive theo is also the name of one of the nair eads', 'passive theo is also the name of one... | |
[
"in the final episode wario finds out about her real nature and defeats her",
"wario finds out about her real nature and defeats her",
"in the final episode wario finds out about her real nature and defeats her",
"in the final episode warrior finds out about her real nature and defeats her",
"in the final e... | in the final episode wario finds out about her real nature and defeats her | in the final episode wario finds out about her real nature and defeats her. | wario finds out about her real nature and defeats her. in the final episode wario finds out about her real nature and defeats her. in the final episode warrior finds out about her real nature and defeats her. in the final episode wario finds out about her real nature and defeats her. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the final episode wario finds out about her real nature and defeats her', 'wario finds out about her real nature and defeats her', 'in the final episode wario finds out about her real nature and defeats her... | |
[
"in the same year he commanded this week is scene italy",
"in the same year he command up this week is scene italy",
"in the same year he commanded this week is scene italy",
"in the same year he command up this week is scene italy",
"in the same year he commanded this week is scene italy"
] | in the same year he commanded the swiss in italy | in the same year he commanded this week is scene italy. | in the same year he command up this week is scene italy. in the same year he commanded this week is scene italy. in the same year he command up this week is scene italy. in the same year he commanded this week is scene italy. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the same year he commanded this week is scene italy', 'in the same year he command up this week is scene italy', 'in the same year he commanded this week is scene italy', 'in the same year he command up thi... | |
[
"common names include broadleaved shooting star henderson is shooting star mosquito bills and sailor caps",
"common names include broad leaved shooting star henderson is shooting star mosquito bills and sailor caps",
"common names include broad leaved shooting star henderson is shooting star mosquito bills and ... | common names include broad leaved shooting star henderson is shooting star mosquito bills and sailor caps | common names include broadleaved shooting star henderson is shooting star mosquito bills and sailor caps. | common names include broad leaved shooting star henderson is shooting star mosquito bills and sailor caps. common names include broad leaved shooting star henderson is shooting star mosquito bills and sailor caps. common names include broadleaved shooting star henderson is shooting star mosquito bills and sailor caps. ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['common names include broadleaved shooting star henderson is shooting star mosquito bills and sailor caps', 'common names include broad leaved shooting star henderson is shooting star mosquito bills and sailor ... | |
[
"farmsteads work clear the way to create a deer park",
"farmstead is work cleared the way to create a deer park",
"farmsteads work clear the way to create a deer pock",
"farmstead is work cleared the way to create a deer pock",
"farmsteads work clear the way to create a de apoc"
] | farmsteads were cleared away to create a deer park | farmsteads work clear the way to create a deer park. | farmstead is work cleared the way to create a deer park. farmsteads work clear the way to create a deer pock. farmstead is work cleared the way to create a deer pock. farmsteads work clear the way to create a de apoc. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['farmsteads work clear the way to create a deer park', 'farmstead is work cleared the way to create a deer park', 'farmsteads work clear the way to create a deer pock', 'farmstead is work cleared the way to cre... | |
[
"it transpires that vick had ended his relationship with colleen a few years previously",
"it transpires that vic had ended his relationship with colleen a caremoniously years previously",
"it transpires that wic had ended his relationship with colleen a few years previously",
"it transpires that vick had end... | it transpires that vic had ended his relationship with colleen acrimoniously years previously | it transpires that vick had ended his relationship with colleen a few years previously. | it transpires that vic had ended his relationship with colleen a caremoniously years previously. it transpires that wic had ended his relationship with colleen a few years previously. it transpires that vick had ended his relationship with colleen a ceremoniously years previously. it transpires that vic had ended his r... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it transpires that vick had ended his relationship with colleen a few years previously', 'it transpires that vic had ended his relationship with colleen a caremoniously years previously', 'it transpires that w... | |
[
"this necklace has since not been made available for public viewing",
"this necklace has since not being made available for public viewing",
"this necklace has since not being made available for public viewing",
"this necklace has since not being made available for public viewing",
"this necklace has since ... | this necklace has since not been made available for public viewing | this necklace has since not been made available for public viewing. | this necklace has since not being made available for public viewing. this necklace has since not being made available for public viewing. this necklace has since not being made available for public viewing. this necklace has since not being made available for public viewing. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this necklace has since not been made available for public viewing', 'this necklace has since not being made available for public viewing', 'this necklace has since not being made available for public viewing'... | |
[
"the second giant is the album never materialized",
"the second giant is that the album never materialized",
"the second giant piece of the album never materialized",
"the second giant piece of film never materialized",
"the second giant piece of album never materialized"
] | a second giant steps album never materialized | the second giant is the album never materialized. | the second giant is that the album never materialized. the second giant piece of the album never materialized. the second giant piece of film never materialized. the second giant piece of album never materialized. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the second giant is the album never materialized', 'the second giant is that the album never materialized', 'the second giant piece of the album never materialized', 'the second giant piece of film never mater... | |
[
"the numerous examples of coins from himmier are testifying to the city is wealth and equity",
"the numerous examples of coins from himmera testified to the city is wealth and equity",
"the numerous examples of coins from himmera testifying to the city is wealth and equity",
"the numerous examples of coins fr... | the numerous examples of coins from himera testify to the city is wealth in antiquity | the numerous examples of coins from himmier are testifying to the city is wealth and equity. | the numerous examples of coins from himmera testified to the city is wealth and equity. the numerous examples of coins from himmera testifying to the city is wealth and equity. the numerous examples of coins from himmier art festival to the city is welfan and quiddie. the numerous examples of coins from himmier art fes... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the numerous examples of coins from himmier are testifying to the city is wealth and equity', 'the numerous examples of coins from himmera testified to the city is wealth and equity', 'the numerous examples of... | |
[
"the two presidents of the houses of parliament are seconded by their vice presidents",
"the two presidents of the houses of parliament are seconded by their vice presidents",
"the two presidents of the houses of parliament are seconded by their vice presidents",
"the two presidents of the houses of parliamen... | the two presidents of the houses of parliament are seconded by their vice presidents | the two presidents of the houses of parliament are seconded by their vice presidents. | the two presidents of the houses of parliament are seconded by their vice presidents. the two presidents of the houses of parliament are seconded by their vice presidents. the two presidents of the houses of parliament are seconded by their advice presidents. the two presidents of the houses of parliament are seconded ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the two presidents of the houses of parliament are seconded by their vice presidents', 'the two presidents of the houses of parliament are seconded by their vice presidents', 'the two presidents of the houses ... | |
[
"she married an unexciting country doctor and being bored she took various levels",
"she married an unexciting country doctor and being bored she took various levels",
"she married an unexciting country doctor and being bored she took various levels",
"she married an unexciting country doctor and being bored ... | she married an unexciting country doctor and being bored she took various lovers | she married an unexciting country doctor and being bored she took various levels. | she married an unexciting country doctor and being bored she took various levels. she married an unexciting country doctor and being bored she took various levels. she married an unexciting country doctor and being bored she took various levels. she married an exciting country doctor and being bored she took various le... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she married an unexciting country doctor and being bored she took various levels', 'she married an unexciting country doctor and being bored she took various levels', 'she married an unexciting country doctor ... | |
[
"but as he got nearer he realized it was not",
"but as he got nearer he realized it was not",
"but as he got nearer he realized it was not",
"but as he got nearer he realized it was not",
"but as he got nearer he realized it was not"
] | but as he got nearer he realized it was not | but as he got nearer he realized it was not. | but as he got nearer he realized it was not. but as he got nearer he realized it was not. but as he got nearer he realized it was not. but as he got nearer he realized it was not. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but as he got nearer he realized it was not', 'but as he got nearer he realized it was not', 'but as he got nearer he realized it was not', 'but as he got nearer he realized it was not', 'but as he got nearer ... | |
[
"joe went down to the oracle studios in los angeles and played three aussie classics",
"joe went down to the oracle studios in los angeles and played three aussie classics",
"joe went down to the oracle studios in los angeles and played three aussie classics",
"joe went down to the orbal studios in los angele... | joe went down to audible studios in los angeles and played three ozzy classics | joe went down to the oracle studios in los angeles and played three aussie classics. | joe went down to the oracle studios in los angeles and played three aussie classics. joe went down to the oracle studios in los angeles and played three aussie classics. joe went down to the orbal studios in los angeles and played three aussie classics. joe went down to the orbal studios in los angeles and played three... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['joe went down to the oracle studios in los angeles and played three aussie classics', 'joe went down to the oracle studios in los angeles and played three aussie classics', 'joe went down to the oracle studios... | |
[
"the inventory may go down to as detail a level as desired",
"the inventory may go down to as detail a level as decided",
"the inventory may go down to as detail a level as desired",
"the inventory may go down to as detail level as desired",
"the eventory may go down to as detail a level as desired"
] | the inventory may go down to as detailed a level as desired | the inventory may go down to as detail a level as desired. | the inventory may go down to as detail a level as decided. the inventory may go down to as detail a level as desired. the inventory may go down to as detail level as desired. the eventory may go down to as detail a level as desired. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the inventory may go down to as detail a level as desired', 'the inventory may go down to as detail a level as decided', 'the inventory may go down to as detail a level as desired', 'the inventory may go down ... | |
[
"mclean hutz was subsequently retired from the show",
"my claire and hutz were subsequently retired from the show",
"mclean hutsworth was subsequently retired from the show",
"mclaren hutz was subsequently retired from the show",
"my clarin huts were subsequently retired from the show"
] | mcclure and hutz were subsequently retired from the show | mclean hutz was subsequently retired from the show. | my claire and hutz were subsequently retired from the show. mclean hutsworth was subsequently retired from the show. mclaren hutz was subsequently retired from the show. my clarin huts were subsequently retired from the show. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mclean hutz was subsequently retired from the show', 'my claire and hutz were subsequently retired from the show', 'mclean hutsworth was subsequently retired from the show', 'mclaren hutz was subsequently reti... | |
[
"fujiko appeared in the seventh position among female voters in fifth place overall",
"fujiko appeared in the seventh position among female voters and fifth place overall",
"fujiko appeared in the seventh position among female voters in the fifth place overall",
"fujiko appeared in the seventh position among ... | fujiko appeared in the seventh position among female voters and fifth place overall | fujiko appeared in the seventh position among female voters in fifth place overall. | fujiko appeared in the seventh position among female voters and fifth place overall. fujiko appeared in the seventh position among female voters in the fifth place overall. fujiko appeared in the seventh position among female voters in fifth place overall. fujiko appeared in the seventh position among female voters in ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fujiko appeared in the seventh position among female voters in fifth place overall', 'fujiko appeared in the seventh position among female voters and fifth place overall', 'fujiko appeared in the seventh posit... | |
[
"whether jabber meant this gold be interpreted literally is unknown",
"whether jabber meant this gold be interpreted laterally is unknown",
"whether jabber meant this goal to be interpreted literally is unknown",
"whether jabber meant this gold be integrated literally is unknown",
"whether jabber meant this... | whether jabir meant this goal to be interpreted literally is unknown | whether jabber meant this gold be interpreted literally is unknown. | whether jabber meant this gold be interpreted laterally is unknown. whether jabber meant this goal to be interpreted literally is unknown. whether jabber meant this gold be integrated literally is unknown. whether jabber meant this gold be integrated laterally is unknown. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['whether jabber meant this gold be interpreted literally is unknown', 'whether jabber meant this gold be interpreted laterally is unknown', 'whether jabber meant this goal to be interpreted literally is unknown... | |
[
"these rocks can be classified in different ways",
"these rocks can be classified in different lives",
"these rocks can be classified in different layers",
"these rocks can be classified in different ways",
"these rocks can be classified in different layers"
] | these rocks can be classified in different ways | these rocks can be classified in different ways. | these rocks can be classified in different lives. these rocks can be classified in different layers. these rocks can be classified in different ways. these rocks can be classified in different layers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these rocks can be classified in different ways', 'these rocks can be classified in different lives', 'these rocks can be classified in different layers', 'these rocks can be classified in different ways', 'th... | |
[
"it also comprises rock cut tombs of the late old kingdom",
"it also comprises rock cut terms of the late old kingdom",
"it also comprises rock cut tombs of the late old kingdom",
"it also comprises rock cut terms of the late old kingdom",
"it also comprises rock cut tombs of the late old kingdom"
] | it also comprises rock cut tombs of the late old kingdom | it also comprises rock cut tombs of the late old kingdom. | it also comprises rock cut terms of the late old kingdom. it also comprises rock cut tombs of the late old kingdom. it also comprises rock cut terms of the late old kingdom. it also comprises rock cut tombs of the late old kingdom. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also comprises rock cut tombs of the late old kingdom', 'it also comprises rock cut terms of the late old kingdom', 'it also comprises rock cut tombs of the late old kingdom', 'it also comprises rock cut te... | |
[
"however such configurations are rare among computer systems designed to run microsoft windows",
"however such configurations are rare among computer systems designed to run microsoft windows",
"however such configurations are rare among computer systems designed to run microsoft windows",
"however such confi... | however such configurations are rare among computer systems designed to run microsoft windows | however such configurations are rare among computer systems designed to run microsoft windows. | however such configurations are rare among computer systems designed to run microsoft windows. however such configurations are rare among computer systems designed to run microsoft windows. however such configurations are rare among computer systems designed to run microsoft windows. however such configurations are rar... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however such configurations are rare among computer systems designed to run microsoft windows', 'however such configurations are rare among computer systems designed to run microsoft windows', 'however such co... | |
[
"this does not result in any harm to young who",
"this does not result in any harm to yanghu",
"this does not result in any hard to young who",
"this does not result in any haunt young who",
"this does not result in any harm to the young who"
] | this does not result in any harm to yang hu | this does not result in any harm to young who. | this does not result in any harm to yanghu. this does not result in any hard to young who. this does not result in any haunt young who. this does not result in any harm to the young who. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this does not result in any harm to young who', 'this does not result in any harm to yanghu', 'this does not result in any hard to young who', 'this does not result in any haunt young who', 'this does not resu... | |
[
"thus cities such about rain wanting themselves giving presidents to the valley given by culture",
"thus cities such about rain wanting themselves giving presidents to the valley given by culture",
"thus cities such about rain wanting themselves giving presidents to the valley given by culture",
"thus cities ... | thus cities set about reinventing themselves giving precedence to the value given by culture | thus cities such about rain wanting themselves giving presidents to the valley given by culture. | thus cities such about rain wanting themselves giving presidents to the valley given by culture. thus cities such about rain wanting themselves giving presidents to the valley given by culture. thus cities such about rain wanting themselves giving presidents to the valley given by culture. thus cities such about rain w... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['thus cities such about rain wanting themselves giving presidents to the valley given by culture', 'thus cities such about rain wanting themselves giving presidents to the valley given by culture', 'thus cities... | |
[
"alimonyx sumatra squall lines are common",
"alimonyx sumatra squal lines are common",
"alimoning sumatra squall lines are common",
"alimoning sumatra squal lines are common",
"alimonyx sumatra squall lines are common"
] | early morning sumatra squall lines are common | alimonyx sumatra squall lines are common. | alimonyx sumatra squal lines are common. alimoning sumatra squall lines are common. alimoning sumatra squal lines are common. alimonyx sumatra squall lines are common. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['alimonyx sumatra squall lines are common', 'alimonyx sumatra squal lines are common', 'alimoning sumatra squall lines are common', 'alimoning sumatra squal lines are common', 'alimonyx sumatra squall lines are... | |
[
"many drowners use music while they run",
"many drown ons use music while they run",
"many drown ons use music while they run",
"many drown ons use music while they run",
"many drown ons use music while they run"
] | many runners use music while they run | many drowners use music while they run. | many drown ons use music while they run. many drown ons use music while they run. many drown ons use music while they run. many drown ons use music while they run. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many drowners use music while they run', 'many drown ons use music while they run', 'many drown ons use music while they run', 'many drown ons use music while they run', 'many drown ons use music while they ru... | |
[
"twenty new fillers may be elected every year",
"twenty new fillos may be elected every year",
"twenty new filers may be elected every year",
"twenty new pillows may be elected every year",
"twenty new philos may be elected every year"
] | twenty new fellows may be elected every year | twenty new fillers may be elected every year. | twenty new fillos may be elected every year. twenty new filers may be elected every year. twenty new pillows may be elected every year. twenty new philos may be elected every year. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['twenty new fillers may be elected every year', 'twenty new fillos may be elected every year', 'twenty new filers may be elected every year', 'twenty new pillows may be elected every year', 'twenty new philos m... | |
[
"they perform the helium song hole in the ground in the movie",
"they perform their helium song hole in the ground in the movie",
"they perform the helium song hole in the grand in the movie",
"they perform their helium song hole in the grand in the movie",
"they perform their helium song on the ground in t... | they performed the helium song hole in the ground in the movie | they perform the helium song hole in the ground in the movie. | they perform their helium song hole in the ground in the movie. they perform the helium song hole in the grand in the movie. they perform their helium song hole in the grand in the movie. they perform their helium song on the ground in the movie. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they perform the helium song hole in the ground in the movie', 'they perform their helium song hole in the ground in the movie', 'they perform the helium song hole in the grand in the movie', 'they perform the... | |
[
"in the all island series kilkenny are trips main rivals",
"in the all island series kilkenny are trips main rivals",
"in the all island series kilkenny are trips main rivals",
"in the all island series kilkenny are trip is main rivals",
"in the all island series kilkenny are trips main rivals"
] | in the all ireland series kilkenny are tipp is main rivals | in the all island series kilkenny are trips main rivals. | in the all island series kilkenny are trips main rivals. in the all island series kilkenny are trips main rivals. in the all island series kilkenny are trip is main rivals. in the all island series kilkenny are trips main rivals. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the all island series kilkenny are trips main rivals', 'in the all island series kilkenny are trips main rivals', 'in the all island series kilkenny are trips main rivals', 'in the all island series kilkenn... | |
[
"overcollection is now threatening the species",
"overcollection is now threatening the species",
"over collection is now threatening the species",
"over collection is now threatening the species",
"overcollection is now threatening the species"
] | over collection is now threatening the species | overcollection is now threatening the species. | overcollection is now threatening the species. over collection is now threatening the species. over collection is now threatening the species. overcollection is now threatening the species. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['overcollection is now threatening the species', 'overcollection is now threatening the species', 'over collection is now threatening the species', 'over collection is now threatening the species', 'overcollect... | |
[
"he also called a tricker named tk",
"it also called a tricker name tk",
"he also called a drinker named t k a",
"eat also cold and drink it up name tk",
"eat also cold and drink it up name is tk"
] | he owns a golden retriever named che keir | he also called a tricker named tk. | it also called a tricker name tk. he also called a drinker named t k a. eat also cold and drink it up name tk. eat also cold and drink it up name is tk. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also called a tricker named tk', 'it also called a tricker name tk', 'he also called a drinker named t k a', 'eat also cold and drink it up name tk', 'eat also cold and drink it up name is tk'] | |
[
"there is an artist on campus who makes some really cool drawings",
"there is an artist on campus who makes some really cool drawings",
"there is an artist on campus who makes some really cool drawings",
"there is an artist on campus who makes some really cool drawings",
"there is an artist on campus who ma... | there s an artist on campus who makes some really cool drawings | there is an artist on campus who makes some really cool drawings. | there is an artist on campus who makes some really cool drawings. there is an artist on campus who makes some really cool drawings. there is an artist on campus who makes some really cool drawings. there is an artist on campus who makes some really cool designs. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is an artist on campus who makes some really cool drawings', 'there is an artist on campus who makes some really cool drawings', 'there is an artist on campus who makes some really cool drawings', 'there... | |
[
"during the invasion the upgrade was born by the left wall",
"during the invasion the upgrade was born by the left wolf",
"during the invasion the upgrade was bombed by the left wall",
"during the invasion the upgrade was born by the luftwaffe",
"during the invasion dog weight was born by the left wolf"
] | during the invasion belgrade was bombed by the luftwaffe | during the invasion the upgrade was born by the left wall. | during the invasion the upgrade was born by the left wolf. during the invasion the upgrade was bombed by the left wall. during the invasion the upgrade was born by the luftwaffe. during the invasion dog weight was born by the left wolf. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['during the invasion the upgrade was born by the left wall', 'during the invasion the upgrade was born by the left wolf', 'during the invasion the upgrade was bombed by the left wall', 'during the invasion the ... | |
[
"tyson was the face of prior fighter under boxing rules",
"tyson was the face of pride fighter under boxing rules",
"tyson was the face of a prior fighter under boxing rules",
"tyson was the face of private fighter under boxing rules",
"tyson was the face of a firefighter under boxing rules"
] | tyson was to face a pride fighter under boxing rules | tyson was the face of prior fighter under boxing rules. | tyson was the face of pride fighter under boxing rules. tyson was the face of a prior fighter under boxing rules. tyson was the face of private fighter under boxing rules. tyson was the face of a firefighter under boxing rules. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tyson was the face of prior fighter under boxing rules', 'tyson was the face of pride fighter under boxing rules', 'tyson was the face of a prior fighter under boxing rules', 'tyson was the face of private fig... | |
[
"because he was so dear so good so admirable",
"because he was so dear so good so admirable",
"because he was so dear so good so admirable",
"because he was so dear so good so admirable",
"because he was so dear so good so admirable"
] | because he was so dear so good so admirable | because he was so dear so good so admirable. | because he was so dear so good so admirable. because he was so dear so good so admirable. because he was so dear so good so admirable. because he was so dear so good so admirable. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['because he was so dear so good so admirable', 'because he was so dear so good so admirable', 'because he was so dear so good so admirable', 'because he was so dear so good so admirable', 'because he was so dea... | |
[
"it is the only girls technology high school in australia",
"it is the only girl is technology high school in australia",
"it is the only girls technology high school in australia",
"it is the only girl is technology high school in australia",
"it is the only girls technology high school in australia"
] | it is the only girls technology high school in australia | it is the only girls technology high school in australia. | it is the only girl is technology high school in australia. it is the only girls technology high school in australia. it is the only girl is technology high school in australia. it is the only girls technology high school in australia. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the only girls technology high school in australia', 'it is the only girl is technology high school in australia', 'it is the only girls technology high school in australia', 'it is the only girl is tech... | |
[
"there is no way of referring to people except by their given numbers",
"there is no way of referring to people except by their given numbers",
"there is no way of referring to people except by their given numbers",
"there is no way of referring to people except by their given numbers",
"there is no way of ... | there is no way of referring to people except by their given numbers | there is no way of referring to people except by their given numbers. | there is no way of referring to people except by their given numbers. there is no way of referring to people except by their given numbers. there is no way of referring to people except by their given numbers. there is no way of referring to people except by their given numbers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is no way of referring to people except by their given numbers', 'there is no way of referring to people except by their given numbers', 'there is no way of referring to people except by their given numb... | |
[
"rehit the center of the docket",
"reheat the center of the docket",
"we hit the center of the docket",
"rehit the center of a docket",
"reheat the center of a docket"
] | we hit the center of the target | rehit the center of the docket. | reheat the center of the docket. we hit the center of the docket. rehit the center of a docket. reheat the center of a docket. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rehit the center of the docket', 'reheat the center of the docket', 'we hit the center of the docket', 'rehit the center of a docket', 'reheat the center of a docket'] | |
[
"the cattle with farm is enjoyed good growing conditions most of the time",
"the cattle with farm is an enjoyed good growing conditions most of the time",
"the cuddle with farm is enjoyed good growing conditions most of the time",
"the cattle with farmers enjoyed good growing conditions most of the time",
"... | the caddo were farmers and enjoyed good growing conditions most of the time | the cattle with farm is enjoyed good growing conditions most of the time. | the cattle with farm is an enjoyed good growing conditions most of the time. the cuddle with farm is enjoyed good growing conditions most of the time. the cattle with farmers enjoyed good growing conditions most of the time. the cato with farm is enjoyed good growing conditions most of the time. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the cattle with farm is enjoyed good growing conditions most of the time', 'the cattle with farm is an enjoyed good growing conditions most of the time', 'the cuddle with farm is enjoyed good growing condition... | |
[
"hugh however upon seeing isabella whose beauty had not diminished preferred the girl is mother",
"you however upon seeing isabella whose beauty had not diminished preferred the girl is mother",
"hugh however upon seeing isabella whose beauty had not diminished preferred the girls mother",
"hugh however upon ... | hugh however upon seeing isabella whose beauty had not diminished preferred the girl is mother | hugh however upon seeing isabella whose beauty had not diminished preferred the girl is mother. | you however upon seeing isabella whose beauty had not diminished preferred the girl is mother. hugh however upon seeing isabella whose beauty had not diminished preferred the girls mother. hugh however upon seeing isabelah whose beauty had not diminished preferred the girl is mother. hugh however upon seeing isabella w... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hugh however upon seeing isabella whose beauty had not diminished preferred the girl is mother', 'you however upon seeing isabella whose beauty had not diminished preferred the girl is mother', 'hugh however u... | |
[
"computer phones greatly expanded cherokee fighters ability to publish in cherokee",
"<UNK>",
"computer phones greatly expanded cherokee writers ability to publish in cherokee",
"computer phones greatly expanded cherokee fighter is ability to publish in cherokee",
"computer phones greatly expanded cherokee ... | computer fonts greatly expanded cherokee writers ability to publish in cherokee | computer phones greatly expanded cherokee fighters ability to publish in cherokee. | <unk>. computer phones greatly expanded cherokee writers ability to publish in cherokee. computer phones greatly expanded cherokee fighter is ability to publish in cherokee. computer phones greatly expanded cherokee fighters ability to publish in cherokee. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['computer phones greatly expanded cherokee fighters ability to publish in cherokee', '<UNK>', 'computer phones greatly expanded cherokee writers ability to publish in cherokee', 'computer phones greatly expande... | |
[
"sent ahead by warwick sir john denham found the king is fleet lying at sandwich",
"sent ahead by warwick sir john denim found the king is fleet lying at sandwich",
"sent ahead by warwick sir john denham found the king is fleet lying at sandwich",
"cent ahead by warwick sir john denham found the king is fleet... | sent ahead by warwick sir john denham found the king is fleet lying at sandwich | sent ahead by warwick sir john denham found the king is fleet lying at sandwich. | sent ahead by warwick sir john denim found the king is fleet lying at sandwich. sent ahead by warwick sir john denham found the king is fleet lying at sandwich. cent ahead by warwick sir john denham found the king is fleet lying at sandwich. cent ahead by warwick sir john denham found the king is fleet lying at sandwic... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sent ahead by warwick sir john denham found the king is fleet lying at sandwich', 'sent ahead by warwick sir john denim found the king is fleet lying at sandwich', 'sent ahead by warwick sir john denham found ... | |
[
"could be a swear if it is practical opposed to the competing ideology of canadian federation",
"quebec swear if need to ease political opposed to the competing ideology of canadian federation",
"could be a swear if it is politically opposed to the competing ideology of canadian federation",
"will be a swear ... | quebec sovereignty is politically opposed to the competing ideology of canadian federalism | could be a swear if it is practical opposed to the competing ideology of canadian federation. | quebec swear if need to ease political opposed to the competing ideology of canadian federation. could be a swear if it is politically opposed to the competing ideology of canadian federation. will be a swear if need to ease political opposed to the competing ideology of canadian federation. will be a swear if it is pr... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['could be a swear if it is practical opposed to the competing ideology of canadian federation', 'quebec swear if need to ease political opposed to the competing ideology of canadian federation', 'could be a swe... | |
[
"the engine sls were landent to provide room for weapons based in their real",
"the engine sls were landent to provide room for weapons base in the real",
"the engine sls were landent to provide room for weapons based in the real",
"the engine sls were landent to provide room for weapons base in their real",
... | the engine nacelles were lengthened to provide room for weapons bays in the rear | the engine sls were landent to provide room for weapons based in their real. | the engine sls were landent to provide room for weapons base in the real. the engine sls were landent to provide room for weapons based in the real. the engine sls were landent to provide room for weapons base in their real. the engine slls were landent to provide room for weapons based in their real. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the engine sls were landent to provide room for weapons based in their real', 'the engine sls were landent to provide room for weapons base in the real', 'the engine sls were landent to provide room for weapon... | |
[
"then it will collapse",
"then it will collapse",
"then it will collapse",
"then it will collapse",
"then it will collapse"
] | then it will collapse | then it will collapse. | then it will collapse. then it will collapse. then it will collapse. then it will collapse. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then it will collapse', 'then it will collapse', 'then it will collapse', 'then it will collapse', 'then it will collapse'] | |
[
"the mass increase in the use of computers accelerated with third generation computers",
"the mass increase in the use of computers accelerated with third generation computers",
"the mass increase in the use of computers accelerated with threerd generation computers",
"the mass increase in the use of computer... | the mass increase in the use of computers accelerated with third generation computers | the mass increase in the use of computers accelerated with third generation computers. | the mass increase in the use of computers accelerated with third generation computers. the mass increase in the use of computers accelerated with threerd generation computers. the mass increase in the use of computers accelerated with threerd generation computers. the mass increase in the use of computers accelerated w... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mass increase in the use of computers accelerated with third generation computers', 'the mass increase in the use of computers accelerated with third generation computers', 'the mass increase in the use of... | |
[
"rhymes along with family and several members of the watch travels to kune valley",
"rhymes along with family and several members of the watch travels to cune valley",
"runs along with family and several members of the watch travels to kuhn valley",
"we are family and several members of the watch travels to k... | vimes along with family and several members of the watch travels to koom valley | rhymes along with family and several members of the watch travels to kune valley. | rhymes along with family and several members of the watch travels to cune valley. runs along with family and several members of the watch travels to kuhn valley. we are family and several members of the watch travels to kuhn valley. one with family and several members of the watch travels to kuhn valley. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rhymes along with family and several members of the watch travels to kune valley', 'rhymes along with family and several members of the watch travels to cune valley', 'runs along with family and several member... | |
[
"the current anthem is the third made for the state",
"the current atom is the third made for the state",
"the current anthem is the threerd made for the state",
"the current anthem is the third made for the state",
"the current anthem is the third made for the state"
] | the current anthem is the third made for the state | the current anthem is the third made for the state. | the current atom is the third made for the state. the current anthem is the threerd made for the state. the current anthem is the third made for the state. the current anthem is the third made for the state. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the current anthem is the third made for the state', 'the current atom is the third made for the state', 'the current anthem is the threerd made for the state', 'the current anthem is the third made for the st... | |
[
"the contents of the monastery are also noteworthy",
"the contents of the monastery are also noteworthy",
"the contents of the ministry are also noteworthy",
"the contents of the ministry are also noteworthy",
"the contents of the monastery are also noteworthy"
] | the contents of the monastery are also noteworthy | the contents of the monastery are also noteworthy. | the contents of the monastery are also noteworthy. the contents of the ministry are also noteworthy. the contents of the ministry are also noteworthy. the contents of the monastery are also noteworthy. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the contents of the monastery are also noteworthy', 'the contents of the monastery are also noteworthy', 'the contents of the ministry are also noteworthy', 'the contents of the ministry are also noteworthy', ... | |
[
"he says comments generated considerable debate in the days that followed",
"he says comments generated considerable debate in the days that followed",
"he says comments generated considerable debate in the day is that followed",
"hase is comments generated considerable debate in the days that followed",
"h... | hayes is comments generated considerable debate in the days that followed | he says comments generated considerable debate in the days that followed. | he says comments generated considerable debate in the days that followed. he says comments generated considerable debate in the day is that followed. hase is comments generated considerable debate in the days that followed. he says comments generated considerable debate in the days that fallout. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he says comments generated considerable debate in the days that followed', 'he says comments generated considerable debate in the days that followed', 'he says comments generated considerable debate in the day... | |
[
"he taught at the root curse university and the new school",
"he taught at the root curse university and the news school",
"he taught at the root curse university and the new school",
"he taught at the root curse university and the new school",
"he taught at the ruth curse university and the new school"
] | he taught at rutgers university and the new school | he taught at the root curse university and the new school. | he taught at the root curse university and the news school. he taught at the root curse university and the new school. he taught at the root curse university and the new school. he taught at the ruth curse university and the new school. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he taught at the root curse university and the new school', 'he taught at the root curse university and the news school', 'he taught at the root curse university and the new school', 'he taught at the root cur... | |
[
"several governments companies organizations and software products support the open document format",
"several governments companies organizations and software products support the open document format",
"several governments companies organizations and software products support the open document format",
"sev... | several governments companies organizations and software products support the opendocument format | several governments companies organizations and software products support the open document format. | several governments companies organizations and software products support the open document format. several governments companies organizations and software products support the open document format. several governments companies organizations and software products support the open document format. several governments ... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['several governments companies organizations and software products support the open document format', 'several governments companies organizations and software products support the open document format', 'sever... | |
[
"the payments for the firemog supported the fire fighting companies",
"the payments for the firemark supported the fire fighting companies",
"the payments for the fire mark supported the fire fighting companies",
"the payments for the fire mock supported the fire fighting companies",
"the payments for the f... | the payments for the fire marks supported the fire fighting companies | the payments for the firemog supported the fire fighting companies. | the payments for the firemark supported the fire fighting companies. the payments for the fire mark supported the fire fighting companies. the payments for the fire mock supported the fire fighting companies. the payments for the fire marks supported the fire fighting companies. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the payments for the firemog supported the fire fighting companies', 'the payments for the firemark supported the fire fighting companies', 'the payments for the fire mark supported the fire fighting companies... | |
[
"it is all very strongly enough to form a company here again",
"it is all very strongly enough to form a company here again",
"it is sold very strongly enough to form a company here again",
"it is sold very strongly enough to form a company here again",
"it is all very strongly enough to form a company hero... | it sold very strongly enough to form a company hero games | it is all very strongly enough to form a company here again. | it is all very strongly enough to form a company here again. it is sold very strongly enough to form a company here again. it is sold very strongly enough to form a company here again. it is all very strongly enough to form a company hero game. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is all very strongly enough to form a company here again', 'it is all very strongly enough to form a company here again', 'it is sold very strongly enough to form a company here again', 'it is sold very str... | |
[
"the show features induct discussions that hope drives the dave is political conversation",
"the show features induct discussions that help drives the dave is political conversation",
"the show features induct discussions that help drives the date is political conversation",
"the show features induct discussi... | the show features in depth discussions that help drive the day is political conversation | the show features induct discussions that hope drives the dave is political conversation. | the show features induct discussions that help drives the dave is political conversation. the show features induct discussions that help drives the date is political conversation. the show features induct discussions that hope drives the date is political conversation. the show features induct discussions that hope dri... | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the show features induct discussions that hope drives the dave is political conversation', 'the show features induct discussions that help drives the dave is political conversation', 'the show features induct ... | |
[
"downtown greensboro is to the north east",
"downtown greensboro is to the northeast",
"downtown greensboro is to the north east",
"downtown grainsboro is to the north east",
"downtown greensboro is to the north east"
] | downtown greensboro is to the northeast | downtown greensboro is to the north east. | downtown greensboro is to the northeast. downtown greensboro is to the north east. downtown grainsboro is to the north east. downtown greensboro is to the north east. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['downtown greensboro is to the north east', 'downtown greensboro is to the northeast', 'downtown greensboro is to the north east', 'downtown grainsboro is to the north east', 'downtown greensboro is to the nort... | |
[
"the two networks would cooperate for special circumstances",
"the two networks would cooperate for specialist circumstances",
"the two networks would cooperate for special circumstances",
"the two networks would cooperate for specialist circumstances",
"the two networks would cooperate for specialist circu... | the two networks would cooperate for special circumstances | the two networks would cooperate for special circumstances. | the two networks would cooperate for specialist circumstances. the two networks would cooperate for special circumstances. the two networks would cooperate for specialist circumstances. the two networks would cooperate for specialist circumstances. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the two networks would cooperate for special circumstances', 'the two networks would cooperate for specialist circumstances', 'the two networks would cooperate for special circumstances', 'the two networks wou... | |
[
"it is just a bit turned up and a bit faster",
"it is just a bit turned up and a bit faster",
"it is just a bit turned up and a bit faster",
"it is just a bit turned up and a bit faster",
"it is just a bit turned up and a bit faster"
] | it is just a bit turned up and a bit faster | it is just a bit turned up and a bit faster. | it is just a bit turned up and a bit faster. it is just a bit turned up and a bit faster. it is just a bit turned up and a bit faster. it is just a bit turned up and a bit faster. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is just a bit turned up and a bit faster', 'it is just a bit turned up and a bit faster', 'it is just a bit turned up and a bit faster', 'it is just a bit turned up and a bit faster', 'it is just a bit turn... | |
[
"it received positive reviews and had moderate sales",
"positive reviews and have moderate sales",
"it receives positive reviews and have moderate sales",
"it received positive reviews and have moderate sales",
"positive reviews and have moderate sales"
] | it received positive reviews and had moderate sales | it received positive reviews and had moderate sales. | positive reviews and have moderate sales. it receives positive reviews and have moderate sales. it received positive reviews and have moderate sales. positive reviews and have moderate sales. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it received positive reviews and had moderate sales', 'positive reviews and have moderate sales', 'it receives positive reviews and have moderate sales', 'it received positive reviews and have moderate sales',... | |
[
"it is referenced during gameplay",
"if he is referenced during gameplay",
"if he is referenced during gameplay",
"it is referenced during game play",
"if he is referenced during gameplay"
] | it is referenced during gameplay | it is referenced during gameplay. | if he is referenced during gameplay. if he is referenced during gameplay. it is referenced during game play. if he is referenced during gameplay. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is referenced during gameplay', 'if he is referenced during gameplay', 'if he is referenced during gameplay', 'it is referenced during game play', 'if he is referenced during gameplay'] | |
[
"subcontractors then hand with many of the key tasks of construction",
"subcontractors then handle many of the key tasks of construction",
"subcontract is then handled many of the key tasks of construction",
"subcontractors then hand with many of the key tasks of construction",
"subcontractors then hand wit... | subcontractors then handled many of the key tasks of construction | subcontractors then hand with many of the key tasks of construction. | subcontractors then handle many of the key tasks of construction. subcontract is then handled many of the key tasks of construction. subcontractors then hand with many of the key tasks of construction. subcontractors then hand with many of the key tasks of construction. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['subcontractors then hand with many of the key tasks of construction', 'subcontractors then handle many of the key tasks of construction', 'subcontract is then handled many of the key tasks of construction', 's... |
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