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 |
|---|---|---|---|---|---|---|---|---|
[
"a band of men play instruments",
"a band of men playing instruments",
"a band of men played instruments",
"a band of men claim instruments",
"a band of men played his drums"
] | a band of men playing instruments | a band of men play instruments. | a band of men playing instruments. a band of men played instruments. a band of men claim instruments. a band of men played his drums. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a band of men play instruments', 'a band of men playing instruments', 'a band of men played instruments', 'a band of men claim instruments', 'a band of men played his drums'] | |
[
"designed by the architects thomas sommerford and e a",
"designed by the architects thomas summerford and e a",
"designed by the architects thomas sommerferd and e a",
"designed by the architects thomas somerford and e a",
"designed by the architects thomas sommerford and e a"
] | designed by the architects thomas somerford and e a | designed by the architects thomas sommerford and e a. | designed by the architects thomas summerford and e a. designed by the architects thomas sommerferd and e a. designed by the architects thomas somerford and e a. designed by the architects thomas sommerford and e a. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['designed by the architects thomas sommerford and e a', 'designed by the architects thomas summerford and e a', 'designed by the architects thomas sommerferd and e a', 'designed by the architects thomas somerford and e a', 'designed by the architects thomas sommerford and e a'] | |
[
"all music composed by gasta except well noted",
"all music composed by gasta except well noted",
"all music composed by gaster except well noted",
"all music composed by gasta except well noted",
"all music composed by gasta except well noted"
] | all music composed by guster except where noted | all music composed by gasta except well noted. | all music composed by gasta except well noted. all music composed by gaster except well noted. all music composed by gasta except well noted. all music composed by gasta except well noted. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all music composed by gasta except well noted', 'all music composed by gasta except well noted', 'all music composed by gaster except well noted', 'all music composed by gasta except well noted', 'all music composed by gasta except well noted'] | |
[
"after three years of study giggling full out broke out",
"after three years of study giggling full out broadcast",
"after three years of study giggling full out broke out",
"after three years of study giggling full out broke out",
"after three years of study gig length will not break out"
] | after three years of steady gigging fallout broke up | after three years of study giggling full out broke out. | after three years of study giggling full out broadcast. after three years of study giggling full out broke out. after three years of study giggling full out broke out. after three years of study gig length will not break out. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after three years of study giggling full out broke out', 'after three years of study giggling full out broadcast', 'after three years of study giggling full out broke out', 'after three years of study giggling full out broke out', 'after three years of study gig length will not break out'] | |
[
"a fairy to undestate some call hais to sarajayuvas this panda pimjus and kiyas",
"a fairy to undestate some call hais to sarajayuvas this panda fimjus and kiyas",
"a fairy to undested some call hais to sarajayuvas this panda fimjus and kiyas",
"a fairy to undestate some call hais to sarajayuvas this panda fi... | a ferry to hundested from kulhuse to solager was disbanded in recent years | a fairy to undestate some call hais to sarajayuvas this panda pimjus and kiyas. | a fairy to undestate some call hais to sarajayuvas this panda fimjus and kiyas. a fairy to undested some call hais to sarajayuvas this panda fimjus and kiyas. a fairy to undestate some call hais to sarajayuvas this panda fimjus and kiyos. a fairy to undestate some call hais to sarajayuvas this panda pimjus and kiyos. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a fairy to undestate some call hais to sarajayuvas this panda pimjus and kiyas', 'a fairy to undestate some call hais to sarajayuvas this panda fimjus and kiyas', 'a fairy to undested some call hais to sarajayuvas this panda fimjus and kiyas', 'a fairy to undestate some call hais to sarajayuvas this panda fimjus and kiyos', 'a fairy to undestate some call hais to sarajayuvas this panda pimjus and kiyos'] | |
[
"associated units and programs transferred to other locations within air force systems command",
"associated units and programs transferred to other locations within air force systems command",
"associate units and programs transferred to other locations within air force systems command",
"associate units and... | associate units and programs transferred to other locations within air force systems command | associated units and programs transferred to other locations within air force systems command. | associated units and programs transferred to other locations within air force systems command. associate units and programs transferred to other locations within air force systems command. associate units and programs transferred to other locations within air force systems command. associated units and programs transferred to other locations within air force systems command. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['associated units and programs transferred to other locations within air force systems command', 'associated units and programs transferred to other locations within air force systems command', 'associate units and programs transferred to other locations within air force systems command', 'associate units and programs transferred to other locations within air force systems command', 'associated units and programs transferred to other locations within air force systems command'] | |
[
"membership is free and lasts for life",
"membership is free and last for life",
"membership is free and lasts for life",
"membership is free and last for life",
"membership is free and lasts for life"
] | membership is free and lasts for life | membership is free and lasts for life. | membership is free and last for life. membership is free and lasts for life. membership is free and last for life. membership is free and lasts for life. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['membership is free and lasts for life', 'membership is free and last for life', 'membership is free and lasts for life', 'membership is free and last for life', 'membership is free and lasts for life'] | |
[
"but music proved a stronger calling",
"but music proved a stronger calling",
"but music proved a stronger calling",
"but music proved a stronger calling",
"but music proved a stronger calling"
] | but music proved a stronger calling | but music proved a stronger calling. | but music proved a stronger calling. but music proved a stronger calling. but music proved a stronger calling. but music proved a stronger calling. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but music proved a stronger calling', 'but music proved a stronger calling', 'but music proved a stronger calling', 'but music proved a stronger calling', 'but music proved a stronger calling'] | |
[
"he was later moved to the prison camp in canada",
"he was later moved to a prison camp in canada",
"he was later moved to the prison camp in canada",
"he was let him move to the prison camp in canada",
"he was later moved to prison camp in canada"
] | he was later moved to a prison camp in canada | he was later moved to the prison camp in canada. | he was later moved to a prison camp in canada. he was later moved to the prison camp in canada. he was let him move to the prison camp in canada. he was later moved to prison camp in canada. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was later moved to the prison camp in canada', 'he was later moved to a prison camp in canada', 'he was later moved to the prison camp in canada', 'he was let him move to the prison camp in canada', 'he was later moved to prison camp in canada'] | |
[
"the family gets to take part in tearing the house down as well",
"the family gets to take part in during the house down as well",
"the family gets to take part in tearing the house down as well",
"the family gets to take part in curing the house down as well",
"the family gets to take part in turing the ho... | the family gets to take part in tearing the house down as well | the family gets to take part in tearing the house down as well. | the family gets to take part in during the house down as well. the family gets to take part in tearing the house down as well. the family gets to take part in curing the house down as well. the family gets to take part in turing the house down as well. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the family gets to take part in tearing the house down as well', 'the family gets to take part in during the house down as well', 'the family gets to take part in tearing the house down as well', 'the family gets to take part in curing the house down as well', 'the family gets to take part in turing the house down as well'] | |
[
"the area to the north of the law was normally the drop point",
"the area to the north of the low was normally the drop point",
"the area to the north of the law was normally the drop point",
"the area to the north of the lo was normally the drop point",
"the area to the north of the loa was normally the dr... | the area to the north of the loch was normally the drop point | the area to the north of the law was normally the drop point. | the area to the north of the low was normally the drop point. the area to the north of the law was normally the drop point. the area to the north of the lo was normally the drop point. the area to the north of the loa was normally the drop point. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the area to the north of the law was normally the drop point', 'the area to the north of the low was normally the drop point', 'the area to the north of the law was normally the drop point', 'the area to the north of the lo was normally the drop point', 'the area to the north of the loa was normally the drop point'] | |
[
"the parkland is entirely made up of volcanic swirls",
"the parkline is entirely made up of volcanic swirls",
"the parkland is entirely made up of all kind of swirls",
"the parklan is entirely made up of volcanic swirls",
"the power clan is entirely made up of volcanic swirls"
] | the parkland is entirely made up of volcanic soil | the parkland is entirely made up of volcanic swirls. | the parkline is entirely made up of volcanic swirls. the parkland is entirely made up of all kind of swirls. the parklan is entirely made up of volcanic swirls. the power clan is entirely made up of volcanic swirls. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the parkland is entirely made up of volcanic swirls', 'the parkline is entirely made up of volcanic swirls', 'the parkland is entirely made up of all kind of swirls', 'the parklan is entirely made up of volcanic swirls', 'the power clan is entirely made up of volcanic swirls'] | |
[
"the film was in development held due to funding not being available",
"the film was in development hell due to funding not being available",
"the film was in development help due to funding not being available",
"the film was in development health due to funding not being available",
"the film was in devel... | the film was in development hell due to funding not being available | the film was in development held due to funding not being available. | the film was in development hell due to funding not being available. the film was in development help due to funding not being available. the film was in development health due to funding not being available. the film was in development help due to funding not being available. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the film was in development held due to funding not being available', 'the film was in development hell due to funding not being available', 'the film was in development help due to funding not being available', 'the film was in development health due to funding not being available', 'the film was in development help due to funding not being available'] | |
[
"as the ice melts ramparts conform around the edge of the kettle hole",
"as the ice melts ramparts conform around the edge of the kettlehole",
"as the ice melts ramparts can form around the edge of the kettle hole",
"as the ice melts ramparts conform around the edge of the kettle hole",
"as the isemeltes ra... | as the ice melts ramparts can form around the edge of the kettle hole | as the ice melts ramparts conform around the edge of the kettle hole. | as the ice melts ramparts conform around the edge of the kettlehole. as the ice melts ramparts can form around the edge of the kettle hole. as the ice melts ramparts conform around the edge of the kettle hole. as the isemeltes ramparts conform around the edge of the kettle hole. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as the ice melts ramparts conform around the edge of the kettle hole', 'as the ice melts ramparts conform around the edge of the kettlehole', 'as the ice melts ramparts can form around the edge of the kettle hole', 'as the ice melts ramparts conform around the edge of the kettle hole', 'as the isemeltes ramparts conform around the edge of the kettle hole'] | |
[
"this latter provision would later be regretted by everyone involved",
"this letter provision would later be regretted by everyone involved",
"this letter prohibition would later be regretted by everyone involved",
"this latter provision would later be regretted by everyone involved",
"this letter provision... | this latter provision would later be regretted by everyone involved | this latter provision would later be regretted by everyone involved. | this letter provision would later be regretted by everyone involved. this letter prohibition would later be regretted by everyone involved. this latter provision would later be regretted by everyone involved. this letter provision would later be regretted by everyone involved. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this latter provision would later be regretted by everyone involved', 'this letter provision would later be regretted by everyone involved', 'this letter prohibition would later be regretted by everyone involved', 'this latter provision would later be regretted by everyone involved', 'this letter provision would later be regretted by everyone involved'] | |
[
"as he tries to reactivate the station power the fully transformed moa attacks him",
"as she tries to reactivate the station power the fully transformed moa attacks him",
"as he tries to reactivate the station cover the fully transformed moa attacks him",
"as she tries to reactivate the station power the full... | as he tries to reactivate the station power the fully transformed noah attacks him | as he tries to reactivate the station power the fully transformed moa attacks him. | as she tries to reactivate the station power the fully transformed moa attacks him. as he tries to reactivate the station cover the fully transformed moa attacks him. as she tries to reactivate the station power the fully transformed moa attacks you. as he tries to reactivate the station power the fully transformed moa attacks him. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as he tries to reactivate the station power the fully transformed moa attacks him', 'as she tries to reactivate the station power the fully transformed moa attacks him', 'as he tries to reactivate the station cover the fully transformed moa attacks him', 'as she tries to reactivate the station power the fully transformed moa attacks you', 'as he tries to reactivate the station power the fully transformed moa attacks him'] | |
[
"notre dame college publishes students quarterly magazine deckdoll chit chat",
"notre dame college publishes students quarterly magazine deckdoll chit chat",
"notre dame college publishes students quarterly magazine deckdoll chit chat",
"notre dame college publishes students quarterly magazine deckdoll chit c... | notre dame college publishes students quarterly magazine dhak dhol chit chat | notre dame college publishes students quarterly magazine deckdoll chit chat. | notre dame college publishes students quarterly magazine deckdoll chit chat. notre dame college publishes students quarterly magazine deckdoll chit chat. notre dame college publishes students quarterly magazine deckdoll chit chat. notre dame college publishes students quarterly magazine deckdoll chitchat. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['notre dame college publishes students quarterly magazine deckdoll chit chat', 'notre dame college publishes students quarterly magazine deckdoll chit chat', 'notre dame college publishes students quarterly magazine deckdoll chit chat', 'notre dame college publishes students quarterly magazine deckdoll chit chat', 'notre dame college publishes students quarterly magazine deckdoll chitchat'] | |
[
"person doing tricks on a bicycle in the skate park",
"person doing tricks on a bicycle in a skate park",
"person doing tricks on a bicycle in the skate park",
"person doing tricks on a bicycle in the skate park",
"percent doing tricks on a bicycle in the skate park"
] | person doing tricks on a bicycle in a skatepark | person doing tricks on a bicycle in the skate park. | person doing tricks on a bicycle in a skate park. person doing tricks on a bicycle in the skate park. person doing tricks on a bicycle in the skate park. percent doing tricks on a bicycle in the skate park. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['person doing tricks on a bicycle in the skate park', 'person doing tricks on a bicycle in a skate park', 'person doing tricks on a bicycle in the skate park', 'person doing tricks on a bicycle in the skate park', 'percent doing tricks on a bicycle in the skate park'] | |
[
"the various giant green mantises known as kamikurus and the huge poisonous spider kumonga",
"the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga",
"the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga",
"the various giant green mant... | the various giant preying mantises known as kamacuras and the huge poisonous spider kumonga | the various giant green mantises known as kamikurus and the huge poisonous spider kumonga. | the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga. the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga. the various giant green mantises known as kamikurus and the huge poisonous spider kumonga. the various giant green mantis is known as kamikurus and the huge poisonous spider kumunga. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the various giant green mantises known as kamikurus and the huge poisonous spider kumonga', 'the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga', 'the various giant green mantis is known as kamikurus and the huge poisonous spider kumonga', 'the various giant green mantises known as kamikurus and the huge poisonous spider kumonga', 'the various giant green mantis is known as kamikurus and the huge poisonous spider kumunga'] | |
[
"among his world champions was his daughter lee hennessy",
"among his world champions was his daughter lee hennessey",
"among his world champions was his daughter leigh hennessy",
"among his world champions was his daughter lee hennessy",
"among his world champions was his daughter leigh hennessy"
] | among his world champions was his daughter leigh hennessy | among his world champions was his daughter lee hennessy. | among his world champions was his daughter lee hennessey. among his world champions was his daughter leigh hennessy. among his world champions was his daughter lee hennessy. among his world champions was his daughter leigh hennessy. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['among his world champions was his daughter lee hennessy', 'among his world champions was his daughter lee hennessey', 'among his world champions was his daughter leigh hennessy', 'among his world champions was his daughter lee hennessy', 'among his world champions was his daughter leigh hennessy'] | |
[
"a sudden energy signature inside draws a military team to investigate",
"a sudden energy signature inside it draws a military team to investigate",
"a sudden energy signature inside draws a military team to investigate",
"a sudden energy signature inside draws a military team to investigate",
"a sudden ene... | a sudden energy signature inside draws a military team to investigate | a sudden energy signature inside draws a military team to investigate. | a sudden energy signature inside it draws a military team to investigate. a sudden energy signature inside draws a military team to investigate. a sudden energy signature inside draws a military team to investigate. a sudden energy signature inside draws a military team to investigate. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a sudden energy signature inside draws a military team to investigate', 'a sudden energy signature inside it draws a military team to investigate', 'a sudden energy signature inside draws a military team to investigate', 'a sudden energy signature inside draws a military team to investigate', 'a sudden energy signature inside draws a military team to investigate'] | |
[
"however this interpretation of the act is disputed",
"however this interpretation of the act is disputed",
"however this interpretation of the act is disputed",
"however this interpretation of the act is disputed",
"however this interpretation of the act is disputed"
] | however this interpretation of the act is disputed | however this interpretation of the act is disputed. | however this interpretation of the act is disputed. however this interpretation of the act is disputed. however this interpretation of the act is disputed. however this interpretation of the act is disputed. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however this interpretation of the act is disputed', 'however this interpretation of the act is disputed', 'however this interpretation of the act is disputed', 'however this interpretation of the act is disputed', 'however this interpretation of the act is disputed'] | |
[
"atkinson said at the time that he knew of no better english left back",
"i can sense at the time that he knew of no better english left back",
"atkinson said at the time that he knew of no better english left back",
"i can sense at the time that he knew of no better english left back",
"atkinson said at th... | atkinson said at the time he knew of no better english left back | atkinson said at the time that he knew of no better english left back. | i can sense at the time that he knew of no better english left back. atkinson said at the time that he knew of no better english left back. i can sense at the time that he knew of no better english left back. atkinson said at the time that he knew of no better english left back. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['atkinson said at the time that he knew of no better english left back', 'i can sense at the time that he knew of no better english left back', 'atkinson said at the time that he knew of no better english left back', 'i can sense at the time that he knew of no better english left back', 'atkinson said at the time that he knew of no better english left back'] | |
[
"the whole and warm memorial are still standing today",
"the hall and warm memorial are still standing today",
"the whole and more memorial are still standing today",
"the whole and world memorial are still standing today",
"the whole and bone memorial are still standing today"
] | the hall and war memorial are still standing today | the whole and warm memorial are still standing today. | the hall and warm memorial are still standing today. the whole and more memorial are still standing today. the whole and world memorial are still standing today. the whole and bone memorial are still standing today. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the whole and warm memorial are still standing today', 'the hall and warm memorial are still standing today', 'the whole and more memorial are still standing today', 'the whole and world memorial are still standing today', 'the whole and bone memorial are still standing today'] | |
[
"they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer",
"they consist of songwriter brian bedfit his wife j c bedfit and hillary spenser",
"they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer",
"they consist of songwriter brian bedfit his wife j c bedfit ... | they consisted of songwriter brian bedford his wife jacey bedford and hilary spencer | they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer. | they consist of songwriter brian bedfit his wife j c bedfit and hillary spenser. they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer. they consist of songwriter brian bedfit his wife j c bedfit and hilary spenser. they consist of songwriter brian bedfit his wife j c bedfit and hillary spenser. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer', 'they consist of songwriter brian bedfit his wife j c bedfit and hillary spenser', 'they consist of songwriter brian bedfit his wife j c bedfit and hillary spencer', 'they consist of songwriter brian bedfit his wife j c bedfit and hilary spenser', 'they consist of songwriter brian bedfit his wife j c bedfit and hillary spenser'] | |
[
"he also said that if she carries on this way it will kill her",
"he also said that if she carries on this way it will kill her",
"he also said that if she carries on this way it will kill her",
"he also said that if she carries on this way it will kill her",
"he also said that if she carries on this way it... | he also said that if she carries on this way it will kill her | he also said that if she carries on this way it will kill her. | he also said that if she carries on this way it will kill her. he also said that if she carries on this way it will kill her. he also said that if she carries on this way it will kill her. he also said that if she carries on this way it will kill her. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also said that if she carries on this way it will kill her', 'he also said that if she carries on this way it will kill her', 'he also said that if she carries on this way it will kill her', 'he also said that if she carries on this way it will kill her', 'he also said that if she carries on this way it will kill her'] | |
[
"man was born as byron chan in hong kong",
"ma an was born as viral chinese hong kong",
"man was born as vyron chan in hong kong",
"man was born as viral chinese hong kong",
"man was born as vairan chan in hong kong"
] | mann was born as byron chan in hong kong | man was born as byron chan in hong kong. | ma an was born as viral chinese hong kong. man was born as vyron chan in hong kong. man was born as viral chinese hong kong. man was born as vairan chan in hong kong. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['man was born as byron chan in hong kong', 'ma an was born as viral chinese hong kong', 'man was born as vyron chan in hong kong', 'man was born as viral chinese hong kong', 'man was born as vairan chan in hong kong'] | |
[
"there is no great odds that wix does",
"there is no great odds betwix does",
"there is no great odds betwigs does",
"there is no great odds betwix does",
"there is no great odds betwigs does"
] | there is no great odds betwixt us | there is no great odds that wix does. | there is no great odds betwix does. there is no great odds betwigs does. there is no great odds betwix does. there is no great odds betwigs does. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there is no great odds that wix does', 'there is no great odds betwix does', 'there is no great odds betwigs does', 'there is no great odds betwix does', 'there is no great odds betwigs does'] | |
[
"he was born as the second child of his family",
"he was born as a second child of his family",
"he was born as second child of his family",
"it was born as the second child of his family",
"it was born as second child of his family"
] | he was born as the second child of his family | he was born as the second child of his family. | he was born as a second child of his family. he was born as second child of his family. it was born as the second child of his family. it was born as second child of his family. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was born as the second child of his family', 'he was born as a second child of his family', 'he was born as second child of his family', 'it was born as the second child of his family', 'it was born as second child of his family'] | |
[
"god worked for paul truth and he resigned a new sounds love more than nothing",
"god worked for paul truth and he resigned a new sounds love more than nothing",
"god worked for paul truth and he resigned a new sounds love more than nothing",
"god worked for paul truth and he resigned a new sound slow morning... | gall worked for paul troost and he designed a new chancellery for munich | god worked for paul truth and he resigned a new sounds love more than nothing. | god worked for paul truth and he resigned a new sounds love more than nothing. god worked for paul truth and he resigned a new sounds love more than nothing. god worked for paul truth and he resigned a new sound slow morning knowledge. god worked for paul truth and he resigned a new sounds love more than nothing. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['god worked for paul truth and he resigned a new sounds love more than nothing', 'god worked for paul truth and he resigned a new sounds love more than nothing', 'god worked for paul truth and he resigned a new sounds love more than nothing', 'god worked for paul truth and he resigned a new sound slow morning knowledge', 'god worked for paul truth and he resigned a new sounds love more than nothing'] | |
[
"this institution is not it must not be a me library",
"the sensation is not it must not be a me library",
"this institution is not it must not be a new library",
"this institution is not it must not be a mere library",
"the situation is not it must not be a me library"
] | this institution is not and must not be a mere library | this institution is not it must not be a me library. | the sensation is not it must not be a me library. this institution is not it must not be a new library. this institution is not it must not be a mere library. the situation is not it must not be a me library. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this institution is not it must not be a me library', 'the sensation is not it must not be a me library', 'this institution is not it must not be a new library', 'this institution is not it must not be a mere library', 'the situation is not it must not be a me library'] | |
[
"see also the phantom units used to confuse the germs",
"see also the phantom units used to confuse the germans",
"see also the phantom units used to confuse the germs",
"see also the phantom units used to confuse the germans",
"see also the phantom units used to confuse the germs"
] | see also the phantom units used to confuse the germans | see also the phantom units used to confuse the germs. | see also the phantom units used to confuse the germans. see also the phantom units used to confuse the germs. see also the phantom units used to confuse the germans. see also the phantom units used to confuse the germs. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see also the phantom units used to confuse the germs', 'see also the phantom units used to confuse the germans', 'see also the phantom units used to confuse the germs', 'see also the phantom units used to confuse the germans', 'see also the phantom units used to confuse the germs'] | |
[
"he states there is conflict between the west and the west",
"he states there is conflict between the west and the west",
"he states there is conflict between the west and the rest",
"he states there is conflict between the west and the west",
"he states that there is conflict between the west and the west"... | he states there is conflict between the west and the rest | he states there is conflict between the west and the west. | he states there is conflict between the west and the west. he states there is conflict between the west and the rest. he states there is conflict between the west and the west. he states that there is conflict between the west and the west. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he states there is conflict between the west and the west', 'he states there is conflict between the west and the west', 'he states there is conflict between the west and the rest', 'he states there is conflict between the west and the west', 'he states that there is conflict between the west and the west'] | |
[
"in peak times services to luton via wimbledon are extended to bedford",
"in peak times services to luton where wimbledon are extended to bedford",
"in peak times services to newton where wimbledon are extended to bedford",
"in peak times services to luton where wimbledon are extended to bedford",
"in peak ... | in peak times services to luton via wimbledon are extended to bedford | in peak times services to luton via wimbledon are extended to bedford. | in peak times services to luton where wimbledon are extended to bedford. in peak times services to newton where wimbledon are extended to bedford. in peak times services to luton where wimbledon are extended to bedford. in peak times services to newton via wimbledon are extended to bedford. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in peak times services to luton via wimbledon are extended to bedford', 'in peak times services to luton where wimbledon are extended to bedford', 'in peak times services to newton where wimbledon are extended to bedford', 'in peak times services to luton where wimbledon are extended to bedford', 'in peak times services to newton via wimbledon are extended to bedford'] | |
[
"this gives the general public an unrealistic expectation of a successful outcome",
"this gives the general public an unrealistic expectation of a successful outcome",
"this gives the general public an unrealistic expectation of a successful outcome",
"this gives the general public an unrealistic expectation ... | this gives the general public an unrealistic expectation of a successful outcome | this gives the general public an unrealistic expectation of a successful outcome. | this gives the general public an unrealistic expectation of a successful outcome. this gives the general public an unrealistic expectation of a successful outcome. this gives the general public an unrealistic expectation of a successful outcome. this gives the general public an unrealistic expectation of a successful outcome. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this gives the general public an unrealistic expectation of a successful outcome', 'this gives the general public an unrealistic expectation of a successful outcome', 'this gives the general public an unrealistic expectation of a successful outcome', 'this gives the general public an unrealistic expectation of a successful outcome', 'this gives the general public an unrealistic expectation of a successful outcome'] | |
[
"each of the travel lanes in a lincoln tunnel senate tube is reversible",
"each of the travel lines in a lincoln tunnel senate tube is reversible",
"each of the travel lanes in the lincoln tunnel senate tube is reversible",
"each of the travel lanes in a lincoln tunnel senate tube is reversible",
"each of t... | each of the travel lanes in the lincoln tunnel is center tube is reversible | each of the travel lanes in a lincoln tunnel senate tube is reversible. | each of the travel lines in a lincoln tunnel senate tube is reversible. each of the travel lanes in the lincoln tunnel senate tube is reversible. each of the travel lanes in a lincoln tunnel senate tube is reversible. each of the travel lanes in a lincoln tunnel synod tube is reversible. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['each of the travel lanes in a lincoln tunnel senate tube is reversible', 'each of the travel lines in a lincoln tunnel senate tube is reversible', 'each of the travel lanes in the lincoln tunnel senate tube is reversible', 'each of the travel lanes in a lincoln tunnel senate tube is reversible', 'each of the travel lanes in a lincoln tunnel synod tube is reversible'] | |
[
"after completing his schooling he taught school in kinlos",
"after completing his schooling he taught school in kinnlos",
"after completing his schooling he taught school in kinn los",
"after completing his schooling he taught school in kinn los",
"after completing his schooling he taught school in kinlos"... | after completing his schooling he taught school in kinloss | after completing his schooling he taught school in kinlos. | after completing his schooling he taught school in kinnlos. after completing his schooling he taught school in kinn los. after completing his schooling he taught school in kinn los. after completing his schooling he taught school in kinlos. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after completing his schooling he taught school in kinlos', 'after completing his schooling he taught school in kinnlos', 'after completing his schooling he taught school in kinn los', 'after completing his schooling he taught school in kinn los', 'after completing his schooling he taught school in kinlos'] | |
[
"he or she has business responsibility beyond a single project",
"he or she has business responsibility beyond a single project",
"he or she has business responsibility beyond a single project",
"he or she has business responsibility beyond a single project",
"he or she has business responsibility beyond a ... | he or she has business responsibility beyond a single project | he or she has business responsibility beyond a single project. | he or she has business responsibility beyond a single project. he or she has business responsibility beyond a single project. he or she has business responsibility beyond a single project. he or she has business responsibility beyond a single project. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he or she has business responsibility beyond a single project', 'he or she has business responsibility beyond a single project', 'he or she has business responsibility beyond a single project', 'he or she has business responsibility beyond a single project', 'he or she has business responsibility beyond a single project'] | |
[
"he studied cello with adolf schiffer and composition with victor hertzfeld",
"he studied cello with adolf schiffer and composition with victor herzfeld",
"he studied cello with adolf schiffer and composition with victor hertzfeld",
"he studied cello with adolf schiffer and composition with victor herzfeld",
... | he studied cello with adolf schiffer and composition with viktor herzfeld | he studied cello with adolf schiffer and composition with victor hertzfeld. | he studied cello with adolf schiffer and composition with victor herzfeld. he studied cello with adolf schiffer and composition with victor hertzfeld. he studied cello with adolf schiffer and composition with victor herzfeld. he studied cello with adolf schiffer and composition with victor hertsfeld. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he studied cello with adolf schiffer and composition with victor hertzfeld', 'he studied cello with adolf schiffer and composition with victor herzfeld', 'he studied cello with adolf schiffer and composition with victor hertzfeld', 'he studied cello with adolf schiffer and composition with victor herzfeld', 'he studied cello with adolf schiffer and composition with victor hertsfeld'] | |
[
"the unincorporated community of south fork is located in the town",
"the unincorporated community of southfork is located in the town",
"the unincorporated community of south fork is located in the town",
"the unincorporated community of south falk is located in the town",
"the unincorporated community of ... | the unincorporated community of south fork is located in the town | the unincorporated community of south fork is located in the town. | the unincorporated community of southfork is located in the town. the unincorporated community of south fork is located in the town. the unincorporated community of south falk is located in the town. the unincorporated community of south fork 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 unincorporated community of south fork is located in the town', 'the unincorporated community of southfork is located in the town', 'the unincorporated community of south fork is located in the town', 'the unincorporated community of south falk is located in the town', 'the unincorporated community of south fork is located in the town'] | |
[
"seeing tegamoga is dead mars repented on through himself down from the same rock",
"seeing tegamoga is dead mars repented on threw himself down from the same rock",
"seeing tegamoga is dead mars repented on froome is soft down from the same rock",
"seeing tegamoga is dead mars repented on froome is self down... | seeing timagoras dead meles repented and threw himself down from the same rock | seeing tegamoga is dead mars repented on through himself down from the same rock. | seeing tegamoga is dead mars repented on threw himself down from the same rock. seeing tegamoga is dead mars repented on froome is soft down from the same rock. seeing tegamoga is dead mars repented on froome is self down from the same rock. seeing tegamoga is dead mars repented on the room soft down from the same rock. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['seeing tegamoga is dead mars repented on through himself down from the same rock', 'seeing tegamoga is dead mars repented on threw himself down from the same rock', 'seeing tegamoga is dead mars repented on froome is soft down from the same rock', 'seeing tegamoga is dead mars repented on froome is self down from the same rock', 'seeing tegamoga is dead mars repented on the room soft down from the same rock'] | |
[
"this point is when the crowd is the most bearish",
"this point is when the crowd is the most bear ish",
"this point is when the crowd is the most bearish",
"this point is when the crowd is the most bear ish",
"this point is when the crowd is the most bearish"
] | this point is when the crowd is the most bearish | this point is when the crowd is the most bearish. | this point is when the crowd is the most bear ish. this point is when the crowd is the most bearish. this point is when the crowd is the most bear ish. this point is when the crowd is the most bearish. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this point is when the crowd is the most bearish', 'this point is when the crowd is the most bear ish', 'this point is when the crowd is the most bearish', 'this point is when the crowd is the most bear ish', 'this point is when the crowd is the most bearish'] | |
[
"very unreported to have been divided between two riding levers",
"very unreported to have been divided between two rider leaders",
"very unreported to have been divided between two writer leaders",
"very unreported you have been divided between two riding levers",
"very unreported you have been divided bet... | they are reported to have been divided between two rival leaders | very unreported to have been divided between two riding levers. | very unreported to have been divided between two rider leaders. very unreported to have been divided between two writer leaders. very unreported you have been divided between two riding levers. very unreported you have been divided between two rider leaders. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['very unreported to have been divided between two riding levers', 'very unreported to have been divided between two rider leaders', 'very unreported to have been divided between two writer leaders', 'very unreported you have been divided between two riding levers', 'very unreported you have been divided between two rider leaders'] | |
[
"queen shared the prize money with ten other british warships",
"queen shared the prize money with ten other british warships",
"qurain shared the prize money with ten other british warships",
"quaint shared the prize money with ten other british warships",
"queen shared the prize money with ten of the brit... | queen shared the prize money with ten other british warships | queen shared the prize money with ten other british warships. | queen shared the prize money with ten other british warships. qurain shared the prize money with ten other british warships. quaint shared the prize money with ten other british warships. queen shared the prize money with ten of the british warships. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['queen shared the prize money with ten other british warships', 'queen shared the prize money with ten other british warships', 'qurain shared the prize money with ten other british warships', 'quaint shared the prize money with ten other british warships', 'queen shared the prize money with ten of the british warships'] | |
[
"national geographic has hosted nine international competitions today",
"national geographic has hosted nine international competitions today",
"national geographic has hosted nine international competitions today",
"national geographic has hosted nine international competitions today",
"national geographic... | national geographic has hosted nine international competitions to date | national geographic has hosted nine international competitions today. | national geographic has hosted nine international competitions today. national geographic has hosted nine international competitions today. national geographic has hosted nine international competitions today. national geographic hosted nine international competitions today. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['national geographic has hosted nine international competitions today', 'national geographic has hosted nine international competitions today', 'national geographic has hosted nine international competitions today', 'national geographic has hosted nine international competitions today', 'national geographic hosted nine international competitions today'] | |
[
"when he arrives he is whisked away to valoria",
"when he arrives he is whisked away to veloria",
"when he arrives he is whisked away to valoria",
"when he arrives he is whisked away to valoria",
"when he arrives he is whisked away to valoria"
] | when he arrives he is whisked away to valoria | when he arrives he is whisked away to valoria. | when he arrives he is whisked away to veloria. when he arrives he is whisked away to valoria. when he arrives he is whisked away to valoria. when he arrives he is whisked away to valoria. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when he arrives he is whisked away to valoria', 'when he arrives he is whisked away to veloria', 'when he arrives he is whisked away to valoria', 'when he arrives he is whisked away to valoria', 'when he arrives he is whisked away to valoria'] | |
[
"he formed a famous songwriting duo with renato caroso on",
"he formed a famous songwriting duo with renato carroso on",
"he formed a famous songwriting duo with renato karoso on",
"he formed a famous songwriting duo with reynato carroso on",
"he formed a famous songwriting duo with reynato karoso on"
] | he formed a famous songwriting duo with renato carosone | he formed a famous songwriting duo with renato caroso on. | he formed a famous songwriting duo with renato carroso on. he formed a famous songwriting duo with renato karoso on. he formed a famous songwriting duo with reynato carroso on. he formed a famous songwriting duo with reynato karoso on. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he formed a famous songwriting duo with renato caroso on', 'he formed a famous songwriting duo with renato carroso on', 'he formed a famous songwriting duo with renato karoso on', 'he formed a famous songwriting duo with reynato carroso on', 'he formed a famous songwriting duo with reynato karoso on'] | |
[
"license to new york new york united states it serves the new york area",
"license to new york new york united states it serves the new york area",
"licensed to new york new york united states it serves the new york area",
"license to new york new york united states it serves in new york area",
"license to ... | licensed to new york new york united states it serves the new york area | license to new york new york united states it serves the new york area. | license to new york new york united states it serves the new york area. licensed to new york new york united states it serves the new york area. license to new york new york united states it serves in new york area. license to new york new york united states it serves the new york area. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['license to new york new york united states it serves the new york area', 'license to new york new york united states it serves the new york area', 'licensed to new york new york united states it serves the new york area', 'license to new york new york united states it serves in new york area', 'license to new york new york united states it serves the new york area'] | |
[
"other ornamental plants include michella miranda pentes and rubia",
"other ornamental plants include michela miranda pentes and rubia",
"other ornamental plants include michella miranda pentus and rubia",
"other ornamental plants include michela miranda pentus and rubia",
"other ornamental plants include m... | other ornamental plants include mitchella morinda pentas and rubia | other ornamental plants include michella miranda pentes and rubia. | other ornamental plants include michela miranda pentes and rubia. other ornamental plants include michella miranda pentus and rubia. other ornamental plants include michela miranda pentus and rubia. other ornamental plants include michella miranda pentus and rubia. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other ornamental plants include michella miranda pentes and rubia', 'other ornamental plants include michela miranda pentes and rubia', 'other ornamental plants include michella miranda pentus and rubia', 'other ornamental plants include michela miranda pentus and rubia', 'other ornamental plants include michella miranda pentus and rubia'] | |
[
"they also hope for a match between leito and their daughter kelia",
"they also hope for a match between leto and their daughter kelia",
"they also opt for a match between leto and their gotter celia",
"they also opt for a match between leito and their daughter kelia",
"they also opt for a match between let... | they also hope for a match between leto and their daughter kailea | they also hope for a match between leito and their daughter kelia. | they also hope for a match between leto and their daughter kelia. they also opt for a match between leto and their gotter celia. they also opt for a match between leito and their daughter kelia. they also opt for a match between leto and their gotter kalea. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they also hope for a match between leito and their daughter kelia', 'they also hope for a match between leto and their daughter kelia', 'they also opt for a match between leto and their gotter celia', 'they also opt for a match between leito and their daughter kelia', 'they also opt for a match between leto and their gotter kalea'] | |
[
"she is the first francophone woman to receive such an honor",
"she is the first francophone woman to receive such an honor",
"she is the first francophone woman to receive such an honor",
"she is the first francophone woman to receive such an honor",
"she is the first francophone woman to receive such an h... | she is the first francophone woman to receive such an honor | she is the first francophone woman to receive such an honor. | she is the first francophone woman to receive such an honor. she is the first francophone woman to receive such an honor. she is the first francophone woman to receive such an honor. she is the first francophone woman to receive such an honor. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is the first francophone woman to receive such an honor', 'she is the first francophone woman to receive such an honor', 'she is the first francophone woman to receive such an honor', 'she is the first francophone woman to receive such an honor', 'she is the first francophone woman to receive such an honor'] | |
[
"we need to get back to that",
"we need to get back to that",
"we need to get back to that",
"we need to get back to that",
"we need to get back to that"
] | we need to get back to that | we need to get back to that. | we need to get back to that. we need to get back to that. we need to get back to that. we need to get back to that. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we need to get back to that', 'we need to get back to that', 'we need to get back to that', 'we need to get back to that', 'we need to get back to that'] | |
[
"he possesses supernatural physical coordination",
"he possesses supernatural physical coordination",
"he possesses supernatural physical coordination",
"he possesses supernatural physical coordination",
"he possesses supernatural physical coordination"
] | he possesses supernatural physical coordination | he possesses supernatural physical coordination. | he possesses supernatural physical coordination. he possesses supernatural physical coordination. he possesses supernatural physical coordination. he possesses supernatural physical coordination. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he possesses supernatural physical coordination', 'he possesses supernatural physical coordination', 'he possesses supernatural physical coordination', 'he possesses supernatural physical coordination', 'he possesses supernatural physical coordination'] | |
[
"in an instant the lights were out",
"in an instant the lights were out",
"in an instant the lights were out",
"in an instant the lights were out",
"in an instant the lights were out"
] | in an instant the lights were out | in an instant the lights were out. | in an instant the lights were out. in an instant the lights were out. in an instant the lights were out. in an instant the lights were out. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in an instant the lights were out', 'in an instant the lights were out', 'in an instant the lights were out', 'in an instant the lights were out', 'in an instant the lights were out'] | |
[
"home of the lesser known baseball team the princeton town town beavers",
"home of the lesser known baseball team the princeton town town bevers",
"home of the lesson on baseball team the princeton town town beavers",
"form of the lesson on baseball team the princeton town town beavers",
"form of the lesson... | home of the lesser known baseball team the princeton poundtown beavers | home of the lesser known baseball team the princeton town town beavers. | home of the lesser known baseball team the princeton town town bevers. home of the lesson on baseball team the princeton town town beavers. form of the lesson on baseball team the princeton town town beavers. form of the lesson on baseball team the princeton town town bevers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['home of the lesser known baseball team the princeton town town beavers', 'home of the lesser known baseball team the princeton town town bevers', 'home of the lesson on baseball team the princeton town town beavers', 'form of the lesson on baseball team the princeton town town beavers', 'form of the lesson on baseball team the princeton town town bevers'] | |
[
"the group contains popularity nicknamed rolla mania took off shortly afterwards",
"the group contains popularity nickname roland mania took off shortly afterwards",
"the group is intense popularity nicknamed rollermania took off shortly afterwards",
"the group is intense popularity nicknamed roland mania too... | the group is intense popularity nicknamed rollermania took off shortly afterwards | the group contains popularity nicknamed rolla mania took off shortly afterwards. | the group contains popularity nickname roland mania took off shortly afterwards. the group is intense popularity nicknamed rollermania took off shortly afterwards. the group is intense popularity nicknamed roland mania took off shortly afterwards. the group contains popularity nickname rolla mania took off shortly afterwards. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the group contains popularity nicknamed rolla mania took off shortly afterwards', 'the group contains popularity nickname roland mania took off shortly afterwards', 'the group is intense popularity nicknamed rollermania took off shortly afterwards', 'the group is intense popularity nicknamed roland mania took off shortly afterwards', 'the group contains popularity nickname rolla mania took off shortly afterwards'] | |
[
"it included mechanized recon units motorized infantry and battalion of tanks",
"it included mechanized recon units motorized infantry and battalion of tanks",
"it included mechanized recon units more prized infantry and battalion of tanks",
"it included mechanized recon units motorized infantry and battalion... | it included mechanized recon units motorized infantry and a battalion of tanks | it included mechanized recon units motorized infantry and battalion of tanks. | it included mechanized recon units motorized infantry and battalion of tanks. it included mechanized recon units more prized infantry and battalion of tanks. it included mechanized recon units motorized infantry and battalion of tanks. it included mechanized recon units more priced infantry and battalion of tanks. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it included mechanized recon units motorized infantry and battalion of tanks', 'it included mechanized recon units motorized infantry and battalion of tanks', 'it included mechanized recon units more prized infantry and battalion of tanks', 'it included mechanized recon units motorized infantry and battalion of tanks', 'it included mechanized recon units more priced infantry and battalion of tanks'] | |
[
"she is not in love with her husband",
"she was not in love with her husband",
"she is not in love with her husband",
"she was not in love with her husband",
"she is not in love with her husband"
] | she was not in love with her husband | she is not in love with her husband. | she was not in love with her husband. she is not in love with her husband. she was not in love with her husband. she is not in love with her husband. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she is not in love with her husband', 'she was not in love with her husband', 'she is not in love with her husband', 'she was not in love with her husband', 'she is not in love with her husband'] | |
[
"is it a bad thing to be a perfectionist",
"is it a bad thing to be a perfectionist",
"is it a bad thing to be a perfectionist",
"is it a bad thing to be a perfectionist",
"is it a bad thing to be a perfectionist"
] | is it a bad thing to be a perfectionist | is it a bad thing to be a perfectionist. | is it a bad thing to be a perfectionist. is it a bad thing to be a perfectionist. is it a bad thing to be a perfectionist. is it a bad thing to be a perfectionist. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['is it a bad thing to be a perfectionist', 'is it a bad thing to be a perfectionist', 'is it a bad thing to be a perfectionist', 'is it a bad thing to be a perfectionist', 'is it a bad thing to be a perfectionist'] | |
[
"he attended college at the university of connecticut",
"he attended the college at the university of connecticut",
"he attended the college at the university of connecticut",
"he attended the college at the university of connecticut",
"he attended the college at the university of connecticut"
] | he attended college at the university of connecticut | he attended college at the university of connecticut. | he attended the college at the university of connecticut. he attended the college at the university of connecticut. he attended the college at the university of connecticut. he attended the college at the university of connecticut. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he attended college at the university of connecticut', 'he attended the college at the university of connecticut', 'he attended the college at the university of connecticut', 'he attended the college at the university of connecticut', 'he attended the college at the university of connecticut'] | |
[
"instead of using a specific programming language the algorithms are written in subo code",
"instead of using a specific programming language the algorithms are written in subro code",
"instead of using a specific programming language the algorithms are written in subocode",
"instead of using a specific progr... | instead of using a specific programming language the algorithms are written in pseudocode | instead of using a specific programming language the algorithms are written in subo code. | instead of using a specific programming language the algorithms are written in subro code. instead of using a specific programming language the algorithms are written in subocode. instead of using a specific programming language the algorithms are written in subo code. instead of using a specific programming language the algorithms are written in subo code. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['instead of using a specific programming language the algorithms are written in subo code', 'instead of using a specific programming language the algorithms are written in subro code', 'instead of using a specific programming language the algorithms are written in subocode', 'instead of using a specific programming language the algorithms are written in subo code', 'instead of using a specific programming language the algorithms are written in subo code'] | |
[
"there were three attempts to keep gray whales in captivity",
"there were three attempts to keep gray whales in captivity",
"there was three attempts to keep gray whales in captivity",
"there were three attempts to keep gray wails in captivity",
"there were three attempts to keep gray wails in captivity"
] | there were three attempts to keep gray whales in captivity | there were three attempts to keep gray whales in captivity. | there were three attempts to keep gray whales in captivity. there was three attempts to keep gray whales in captivity. there were three attempts to keep gray wails in captivity. there were three attempts to keep gray wails in captivity. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were three attempts to keep gray whales in captivity', 'there were three attempts to keep gray whales in captivity', 'there was three attempts to keep gray whales in captivity', 'there were three attempts to keep gray wails in captivity', 'there were three attempts to keep gray wails in captivity'] | |
[
"following that he was visiting assistant professor of music at the university of pittsburgh",
"following that he was visiting a system professor of music at the university of pittsburgh",
"following that he was visiting assistant professor of music at the university of pittsburgh",
"following that he was vis... | following that he was visiting assistant professor of music at the university of pittsburgh | following that he was visiting assistant professor of music at the university of pittsburgh. | following that he was visiting a system professor of music at the university of pittsburgh. following that he was visiting assistant professor of music at the university of pittsburgh. following that he was visiting assistant professor of music at the university of pittsburgh. following that he was visiting a system professor of music at the university of pittsburgh. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['following that he was visiting assistant professor of music at the university of pittsburgh', 'following that he was visiting a system professor of music at the university of pittsburgh', 'following that he was visiting assistant professor of music at the university of pittsburgh', 'following that he was visiting assistant professor of music at the university of pittsburgh', 'following that he was visiting a system professor of music at the university of pittsburgh'] | |
[
"in addition many has some ministries and west abeddon",
"in addition many hissing ministries are west abedon",
"in addition many has some ministries and west abedin",
"in addition many heson ministries are west abeddon",
"in addition many has some ministries i am wesabeth"
] | in addition many hessian ministries are in wiesbaden | in addition many has some ministries and west abeddon. | in addition many hissing ministries are west abedon. in addition many has some ministries and west abedin. in addition many heson ministries are west abeddon. in addition many has some ministries i am wesabeth. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in addition many has some ministries and west abeddon', 'in addition many hissing ministries are west abedon', 'in addition many has some ministries and west abedin', 'in addition many heson ministries are west abeddon', 'in addition many has some ministries i am wesabeth'] | |
[
"it is editors rated companies based on their campaign contributions and other factors",
"its editors rated companies based on their campaign contributions and other factors",
"its editors rated companies based on their campaign contributions and other factors",
"its editors rated companies based on their cam... | its editors rated companies based on their campaign contributions and other factors | it is editors rated companies based on their campaign contributions and other factors. | its editors rated companies based on their campaign contributions and other factors. its editors rated companies based on their campaign contributions and other factors. its editors rated companies based on their campaign contributions and other factors. it is editors rated companies based on their campaign contributions and other factors. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is editors rated companies based on their campaign contributions and other factors', 'its editors rated companies based on their campaign contributions and other factors', 'its editors rated companies based on their campaign contributions and other factors', 'its editors rated companies based on their campaign contributions and other factors', 'it is editors rated companies based on their campaign contributions and other factors'] | |
[
"then to laos in nigeria just at the end of the biafran war",
"then to laos in nigeria just at the end of the biafra and wall",
"then to laos in nigeria just at the end of the biafren wall",
"then to laos in nigeria just at the end of the biafran war",
"then to laos in nigeria just at the end of the biafran... | then to lagos in nigeria just at the end of the biafran war | then to laos in nigeria just at the end of the biafran war. | then to laos in nigeria just at the end of the biafra and wall. then to laos in nigeria just at the end of the biafren wall. then to laos in nigeria just at the end of the biafran war. then to laos in nigeria just at the end of the biafran war. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then to laos in nigeria just at the end of the biafran war', 'then to laos in nigeria just at the end of the biafra and wall', 'then to laos in nigeria just at the end of the biafren wall', 'then to laos in nigeria just at the end of the biafran war', 'then to laos in nigeria just at the end of the biafran war'] | |
[
"jaiman stated that he wanted to do a sort of prince and proper idea",
"jeman stated that he wanted to do a sort of prince and proper idea",
"jeman stated that he wanted to do a sort of prince and popper idea",
"jayman started that he wanted to do a sort of prince and proper idea",
"jayman started that he w... | gaiman stated that he wanted to do a sort of prince and pauper idea | jaiman stated that he wanted to do a sort of prince and proper idea. | jeman stated that he wanted to do a sort of prince and proper idea. jeman stated that he wanted to do a sort of prince and popper idea. jayman started that he wanted to do a sort of prince and proper idea. jayman started that he wanted to do a sort of prince and popper idea. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jaiman stated that he wanted to do a sort of prince and proper idea', 'jeman stated that he wanted to do a sort of prince and proper idea', 'jeman stated that he wanted to do a sort of prince and popper idea', 'jayman started that he wanted to do a sort of prince and proper idea', 'jayman started that he wanted to do a sort of prince and popper idea'] | |
[
"toby young michael young is son with mawson is a journalist and writer",
"toby young michael young is son with morsom is a journalist and writer",
"toby young michael young is son with morrison is a journalist and writer",
"toby young michael young is son with mausom is a journalist and writer",
"toby youn... | toby young michael young is son with moorsom is a journalist and writer | toby young michael young is son with mawson is a journalist and writer. | toby young michael young is son with morsom is a journalist and writer. toby young michael young is son with morrison is a journalist and writer. toby young michael young is son with mausom is a journalist and writer. toby young michael young is son with morseum is a journalist and writer. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['toby young michael young is son with mawson is a journalist and writer', 'toby young michael young is son with morsom is a journalist and writer', 'toby young michael young is son with morrison is a journalist and writer', 'toby young michael young is son with mausom is a journalist and writer', 'toby young michael young is son with morseum is a journalist and writer'] | |
[
"the rodents were killed and plastic explosives sown inside them",
"the rodents were killed and plastic explosives sewn inside them",
"the rodents were killed and plastic explosive sown inside them",
"the rodents were killed and plastic explosives sown inside them",
"the rodents were killed and plastic expl... | the rodents were killed and plastic explosives sewn inside them | the rodents were killed and plastic explosives sown inside them. | the rodents were killed and plastic explosives sewn inside them. the rodents were killed and plastic explosive sown inside them. the rodents were killed and plastic explosives sown inside them. the rodents were killed and plastic explosives sewn inside them. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the rodents were killed and plastic explosives sown inside them', 'the rodents were killed and plastic explosives sewn inside them', 'the rodents were killed and plastic explosive sown inside them', 'the rodents were killed and plastic explosives sown inside them', 'the rodents were killed and plastic explosives sewn inside them'] | |
[
"web was known for this engineering work at a cost to control cooperation",
"web was known for its engineering work at a cost to control cooperation",
"web was known for its engineering work at a cost to confered corporation",
"web was known for this engineering work it occurs to control cooperation",
"web ... | rabe was known for his engineering work at acoustic control corporation | web was known for this engineering work at a cost to control cooperation. | web was known for its engineering work at a cost to control cooperation. web was known for its engineering work at a cost to confered corporation. web was known for this engineering work it occurs to control cooperation. web was known for this engineering work at a cost to contract cooperation. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['web was known for this engineering work at a cost to control cooperation', 'web was known for its engineering work at a cost to control cooperation', 'web was known for its engineering work at a cost to confered corporation', 'web was known for this engineering work it occurs to control cooperation', 'web was known for this engineering work at a cost to contract cooperation'] | |
[
"sloping sides at the kassata palace and the peterhof permitted grand cascades",
"sloping sides at the kassata palace and the peterhof permitted ground cascades",
"sloping sides at the kasata palace and the peterhof permitted grand cascades",
"sloping sides at the kassata palace and the peterhof permitted gra... | sloping sites at caserta palace and peterhof permitted grand cascades | sloping sides at the kassata palace and the peterhof permitted grand cascades. | sloping sides at the kassata palace and the peterhof permitted ground cascades. sloping sides at the kasata palace and the peterhof permitted grand cascades. sloping sides at the kassata palace and the peterhof permitted grand cascades. sloping sides at the casata palace and the peterhof permitted grand cascades. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sloping sides at the kassata palace and the peterhof permitted grand cascades', 'sloping sides at the kassata palace and the peterhof permitted ground cascades', 'sloping sides at the kasata palace and the peterhof permitted grand cascades', 'sloping sides at the kassata palace and the peterhof permitted grand cascades', 'sloping sides at the casata palace and the peterhof permitted grand cascades'] | |
[
"shortly thereafter it made landfall in south eastern newfoundland",
"shortly thereafter it may land for in south eastern newfoundland",
"shortly thereafter it made landfall in southeast newfoundland",
"shortly thereafter it may land for in southeast newfoundland",
"shortly thereafter it made landfall in so... | shortly thereafter it made landfall in southeastern newfoundland | shortly thereafter it made landfall in south eastern newfoundland. | shortly thereafter it may land for in south eastern newfoundland. shortly thereafter it made landfall in southeast newfoundland. shortly thereafter it may land for in southeast newfoundland. shortly thereafter it made landfall in southeast newfoundland. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shortly thereafter it made landfall in south eastern newfoundland', 'shortly thereafter it may land for in south eastern newfoundland', 'shortly thereafter it made landfall in southeast newfoundland', 'shortly thereafter it may land for in southeast newfoundland', 'shortly thereafter it made landfall in southeast newfoundland'] | |
[
"sean fredens to kill him if he does not pay the rent and keep his wallet",
"sean friedens to kill him if he does not pay the rent and keep his wallet",
"sean freddens to kill him if he does not pay the rent and keep his wallet",
"sean froden is to kill him if he does not pay the rent and keep his wallet",
... | sean threatens to kill him if he does not pay the rent and keeps wellard | sean fredens to kill him if he does not pay the rent and keep his wallet. | sean friedens to kill him if he does not pay the rent and keep his wallet. sean freddens to kill him if he does not pay the rent and keep his wallet. sean froden is to kill him if he does not pay the rent and keep his wallet. sean fredens to kill him if he does not pay the rent and keeps while he is. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sean fredens to kill him if he does not pay the rent and keep his wallet', 'sean friedens to kill him if he does not pay the rent and keep his wallet', 'sean freddens to kill him if he does not pay the rent and keep his wallet', 'sean froden is to kill him if he does not pay the rent and keep his wallet', 'sean fredens to kill him if he does not pay the rent and keeps while he is'] | |
[
"while attempting to direct these troops he was struck by a shell fragment",
"while attempting to direct these troops he was struck by a show fragment",
"while attempting to direct his troops he was struck by a shell fragment",
"while attempting to direct these troops he was struck by a shell fragment",
"wh... | while attempting to direct his troops he was struck by a shell fragment | while attempting to direct these troops he was struck by a shell fragment. | while attempting to direct these troops he was struck by a show fragment. while attempting to direct his troops he was struck by a shell fragment. while attempting to direct these troops he was struck by a shell fragment. while attempting to direct his troops he was struck by a shell fragment. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['while attempting to direct these troops he was struck by a shell fragment', 'while attempting to direct these troops he was struck by a show fragment', 'while attempting to direct his troops he was struck by a shell fragment', 'while attempting to direct these troops he was struck by a shell fragment', 'while attempting to direct his troops he was struck by a shell fragment'] | |
[
"this timing reflects the increased availability of insect prey for moving young",
"this timing reflects the increased availability of insect prey for growing young",
"this timing reflects the increased availability of insect free or growing young",
"this timing reflects the increased availability of insect f... | this timing reflects the increased availability of insect prey for the growing young | this timing reflects the increased availability of insect prey for moving young. | this timing reflects the increased availability of insect prey for growing young. this timing reflects the increased availability of insect free or growing young. this timing reflects the increased availability of insect free or moving young. this timing reflects the increased availability of insect free for growing young. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this timing reflects the increased availability of insect prey for moving young', 'this timing reflects the increased availability of insect prey for growing young', 'this timing reflects the increased availability of insect free or growing young', 'this timing reflects the increased availability of insect free or moving young', 'this timing reflects the increased availability of insect free for growing young'] | |
[
"we are all in this together",
"we are all in this together",
"we are all in this together",
"we are all in this together",
"we are all in this together"
] | we are all in this together | we are all in this together. | we are all in this together. we are all in this together. we are all in this together. we are all in this together. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we are all in this together', 'we are all in this together', 'we are all in this together', 'we are all in this together', 'we are all in this together'] | |
[
"he lets us out with obi wan is rescuted chancellor of our coast guard",
"he lets us out with obi wan is rescue to chancellor of our coast guard",
"he then sets out with obi wan is rescuted chancellor of our coast guard",
"he lets us out with obi wan is rescuative chancellor of our coast guard",
"he then si... | he then sets out with obi wan to rescue the chancellor over coruscant | he lets us out with obi wan is rescuted chancellor of our coast guard. | he lets us out with obi wan is rescue to chancellor of our coast guard. he then sets out with obi wan is rescuted chancellor of our coast guard. he lets us out with obi wan is rescuative chancellor of our coast guard. he then sits out with obi wan is rescuted chancellor of our coast guard. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he lets us out with obi wan is rescuted chancellor of our coast guard', 'he lets us out with obi wan is rescue to chancellor of our coast guard', 'he then sets out with obi wan is rescuted chancellor of our coast guard', 'he lets us out with obi wan is rescuative chancellor of our coast guard', 'he then sits out with obi wan is rescuted chancellor of our coast guard'] | |
[
"the netflow record format has evolved over time hence the inclusion of version numbers",
"the netflow record format has evolved over time hence the inclusion of version numbers",
"the netflow record format has evolved over time hence the inclusion of version numbers",
"the netflow record format has evolved o... | the netflow record format has evolved over time hence the inclusion of version numbers | the netflow record format has evolved over time hence the inclusion of version numbers. | the netflow record format has evolved over time hence the inclusion of version numbers. the netflow record format has evolved over time hence the inclusion of version numbers. the netflow record format has evolved over time hence the inclusion of version members. the netflow record format has evolved over time hence the inclusion of version numbers. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the netflow record format has evolved over time hence the inclusion of version numbers', 'the netflow record format has evolved over time hence the inclusion of version numbers', 'the netflow record format has evolved over time hence the inclusion of version numbers', 'the netflow record format has evolved over time hence the inclusion of version members', 'the netflow record format has evolved over time hence the inclusion of version numbers'] | |
[
"the letter experienced financial trouble and was sold and renamed all of his new castaways casino",
"the latter experienced financial trouble and was sold and renamed all of his new castaways casino",
"the latter experienced financial trouble and was sold and renamed all of his new castaways casino",
"the le... | the latter experienced financial trouble and was sold and renamed oliver is new castaways casino | the letter experienced financial trouble and was sold and renamed all of his new castaways casino. | the latter experienced financial trouble and was sold and renamed all of his new castaways casino. the latter experienced financial trouble and was sold and renamed all of his new castaways casino. the letter experienced financial trouble and was sold and renamed all of his new castaways casino. the latter experienced financial trouble and was sold and renamed all of his new castaways casino. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the letter experienced financial trouble and was sold and renamed all of his new castaways casino', 'the latter experienced financial trouble and was sold and renamed all of his new castaways casino', 'the latter experienced financial trouble and was sold and renamed all of his new castaways casino', 'the letter experienced financial trouble and was sold and renamed all of his new castaways casino', 'the latter experienced financial trouble and was sold and renamed all of his new castaways casino'] | |
[
"the entire town supplies in virginia military district",
"the entire town supplies in virginia military district",
"the entire town supplies in virginia military district",
"the entire town supplies in virginia military district",
"the entire town supplies in virginia military district"
] | the entire township lies in the virginia military district | the entire town supplies in virginia military district. | the entire town supplies in virginia military district. the entire town supplies in virginia military district. the entire town supplies in virginia military district. the entire town supplies in virginia military district. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the entire town supplies in virginia military district', 'the entire town supplies in virginia military district', 'the entire town supplies in virginia military district', 'the entire town supplies in virginia military district', 'the entire town supplies in virginia military district'] | |
[
"this does not mean that less popular funds are not a quality investment",
"this does not mean that less popular funds are not a quality investment",
"this does not mean that less popular funds are not a quality investment",
"this does not mean that less popular funds are not a quality investment",
"this do... | this does not mean that less popular funds are not a quality investment | this does not mean that less popular funds are not a quality investment. | this does not mean that less popular funds are not a quality investment. this does not mean that less popular funds are not a quality investment. this does not mean that less popular funds are not a quality investment. this does not mean that less popular funds are not a quality investment. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this does not mean that less popular funds are not a quality investment', 'this does not mean that less popular funds are not a quality investment', 'this does not mean that less popular funds are not a quality investment', 'this does not mean that less popular funds are not a quality investment', 'this does not mean that less popular funds are not a quality investment'] | |
[
"senator s i hayekawa",
"senator s i hayekawa",
"senator s i hey a cow",
"senator si hayekawa",
"senator s i hayekawa"
] | senator s i hayakawa | senator s i hayekawa. | senator s i hayekawa. senator s i hey a cow. senator si hayekawa. senator s i hayekawa. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['senator s i hayekawa', 'senator s i hayekawa', 'senator s i hey a cow', 'senator si hayekawa', 'senator s i hayekawa'] | |
[
"in ancient times the mountain was used by the celts as a refuge",
"in ancient times the mountain was used by the celts as a refuge",
"in ancient times the mountain was used by the keltz as a refuge",
"in ancient times the mountain was used by the keltz as a refuge",
"in ancient times the mountain was used ... | in ancient times the mountain was used by the celts as a refuge | in ancient times the mountain was used by the celts as a refuge. | in ancient times the mountain was used by the celts as a refuge. in ancient times the mountain was used by the keltz as a refuge. in ancient times the mountain was used by the keltz as a refuge. in ancient times the mountain was used by the keltz as a refuge. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in ancient times the mountain was used by the celts as a refuge', 'in ancient times the mountain was used by the celts as a refuge', 'in ancient times the mountain was used by the keltz as a refuge', 'in ancient times the mountain was used by the keltz as a refuge', 'in ancient times the mountain was used by the keltz as a refuge'] | |
[
"these wetlands harbor endangered habitats birds dragonflies bats and butterflies",
"these wetlands harbor endangered habitats birds dragonflies bats and butterflies",
"these wetlands harbor endangered habitats birds dragonflies bats and butterflies",
"these wetlands harbor endangered habitats birds dragonfli... | these wetlands harbor endangered habitats birds dragonflies bats and butterflies | these wetlands harbor endangered habitats birds dragonflies bats and butterflies. | these wetlands harbor endangered habitats birds dragonflies bats and butterflies. these wetlands harbor endangered habitats birds dragonflies bats and butterflies. these wetlands harbor endangered habitats birds dragonflies bats and butterflies. these wetlands harbor endangered habitats birds dragonflies bats and butterflies. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these wetlands harbor endangered habitats birds dragonflies bats and butterflies', 'these wetlands harbor endangered habitats birds dragonflies bats and butterflies', 'these wetlands harbor endangered habitats birds dragonflies bats and butterflies', 'these wetlands harbor endangered habitats birds dragonflies bats and butterflies', 'these wetlands harbor endangered habitats birds dragonflies bats and butterflies'] | |
[
"he studied music arranging from a close book",
"steadied music arranging from a close book",
"studying music arranging from a close book",
"he studied music arranging from a close book",
"studied music arranging from a close book"
] | he studied music arranging from a course book | he studied music arranging from a close book. | steadied music arranging from a close book. studying music arranging from a close book. he studied music arranging from a close book. studied music arranging from a close book. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he studied music arranging from a close book', 'steadied music arranging from a close book', 'studying music arranging from a close book', 'he studied music arranging from a close book', 'studied music arranging from a close book'] | |
[
"the hall provides visitors panoramic views of the san francisco bay",
"the whole provides visitors panoramic views of the san francisco bay",
"the hall provides visitors panoramic views of the san francisco bay",
"the whole provides visitors panoramic views of the san francisco bay",
"the hall provides vis... | the hall provides visitors panoramic views of the san francisco bay | the hall provides visitors panoramic views of the san francisco bay. | the whole provides visitors panoramic views of the san francisco bay. the hall provides visitors panoramic views of the san francisco bay. the whole provides visitors panoramic views of the san francisco bay. the hall provides visitors panoramic views of the san francisco bay. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the hall provides visitors panoramic views of the san francisco bay', 'the whole provides visitors panoramic views of the san francisco bay', 'the hall provides visitors panoramic views of the san francisco bay', 'the whole provides visitors panoramic views of the san francisco bay', 'the hall provides visitors panoramic views of the san francisco bay'] | |
[
"the woman is wearing an orange dress riding on the ferris wheel",
"the woman is wearing an orange dress riding on the ferris wheel",
"the woman is wearing an orange dress riding on a ferris wheel",
"the woman is wearing an orange dress friday on the ferris wheel",
"the woman is wearing an orange dress ridi... | the woman is wearing an orange dress riding on the ferris wheel | the woman is wearing an orange dress riding on the ferris wheel. | the woman is wearing an orange dress riding on the ferris wheel. the woman is wearing an orange dress riding on a ferris wheel. the woman is wearing an orange dress friday on the ferris wheel. the woman is wearing an orange dress riding on the ferris wheel. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the woman is wearing an orange dress riding on the ferris wheel', 'the woman is wearing an orange dress riding on the ferris wheel', 'the woman is wearing an orange dress riding on a ferris wheel', 'the woman is wearing an orange dress friday on the ferris wheel', 'the woman is wearing an orange dress riding on the ferris wheel'] | |
[
"blessing business call me here",
"blessing business carme here",
"blessing business car me here",
"blessing business car me here",
"blessing business god be here"
] | pressing business called me here | blessing business call me here. | blessing business carme here. blessing business car me here. blessing business car me here. blessing business god be here. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['blessing business call me here', 'blessing business carme here', 'blessing business car me here', 'blessing business car me here', 'blessing business god be here'] | |
[
"the main employer in the district is provincial government of kuivik",
"the main employer in the district is provincial government of quebec",
"the main employer in the district is provincial government of kuivik",
"the main employer in the district is provincial government of kuivik",
"the main employer i... | the main employer in the district is the provincial government of quebec | the main employer in the district is provincial government of kuivik. | the main employer in the district is provincial government of quebec. the main employer in the district is provincial government of kuivik. the main employer in the district is provincial government of kuivik. the main employer in the district is provincial government of kuivik. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main employer in the district is provincial government of kuivik', 'the main employer in the district is provincial government of quebec', 'the main employer in the district is provincial government of kuivik', 'the main employer in the district is provincial government of kuivik', 'the main employer in the district is provincial government of kuivik'] | |
[
"the joint commission is a private healthcare accreditation group",
"the joint commission is a private healthcare accreditation group",
"the drawing commission is a private healthcare accreditation group",
"the djoin commission is a private healthcare accreditation group",
"the djoin commission is a private... | the joint commission is a private healthcare accreditation group | the joint commission is a private healthcare accreditation group. | the joint commission is a private healthcare accreditation group. the drawing commission is a private healthcare accreditation group. the djoin commission is a private healthcare accreditation group. the djoin commission is a private healthcare accreditation group. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the joint commission is a private healthcare accreditation group', 'the joint commission is a private healthcare accreditation group', 'the drawing commission is a private healthcare accreditation group', 'the djoin commission is a private healthcare accreditation group', 'the djoin commission is a private healthcare accreditation group'] | |
[
"the interview was conducted by alex fischmann and sven kadmann",
"the interview was conducted by alex fischmann and sven katmann",
"the interview was conducted by alex fischmann and sven keidmann",
"the interview was conducted by alex fischmann and sven katman",
"the interview was conducted by alex fischma... | the interview was conducted by alex fishman and sima kadmon | the interview was conducted by alex fischmann and sven kadmann. | the interview was conducted by alex fischmann and sven katmann. the interview was conducted by alex fischmann and sven keidmann. the interview was conducted by alex fischmann and sven katman. the interview was conducted by alex fischmann and sven kathmann. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the interview was conducted by alex fischmann and sven kadmann', 'the interview was conducted by alex fischmann and sven katmann', 'the interview was conducted by alex fischmann and sven keidmann', 'the interview was conducted by alex fischmann and sven katman', 'the interview was conducted by alex fischmann and sven kathmann'] | |
[
"i offered an apple but she wanted a toffee apple",
"i offered an apple but she wanted a tofu apple",
"i offered an apple but she wanted a toffee apple",
"i offered an apple but she wanted a tofu apple",
"i offered an apple but she wanted a toffee apple"
] | i offered an apple but she wanted a toffee apple | i offered an apple but she wanted a toffee apple. | i offered an apple but she wanted a tofu apple. i offered an apple but she wanted a toffee apple. i offered an apple but she wanted a tofu apple. i offered an apple but she wanted a toffee apple. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i offered an apple but she wanted a toffee apple', 'i offered an apple but she wanted a tofu apple', 'i offered an apple but she wanted a toffee apple', 'i offered an apple but she wanted a tofu apple', 'i offered an apple but she wanted a toffee apple'] | |
[
"its county seat is cambridge",
"it is county seat is cambridge",
"it is county seat is cambridge",
"it is county seat is cambridge",
"it is county seat is cambridge"
] | its county seat is cambridge | its county seat is cambridge. | it is county seat is cambridge. it is county seat is cambridge. it is county seat is cambridge. it is county seat is cambridge. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its county seat is cambridge', 'it is county seat is cambridge', 'it is county seat is cambridge', 'it is county seat is cambridge', 'it is county seat is cambridge'] | |
[
"he attended primary schools at board heels to warm and manly",
"he attended primary scores at board heels to warm and manly",
"he attended primary scores at both his two warm and manly",
"he attended primary scores at board heirs to warm and manly",
"he attended primary schools at board heirs to warm and m... | he attended primary schools at bald hills toowong and manly | he attended primary schools at board heels to warm and manly. | he attended primary scores at board heels to warm and manly. he attended primary scores at both his two warm and manly. he attended primary scores at board heirs to warm and manly. he attended primary schools at board heirs to warm and manly. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he attended primary schools at board heels to warm and manly', 'he attended primary scores at board heels to warm and manly', 'he attended primary scores at both his two warm and manly', 'he attended primary scores at board heirs to warm and manly', 'he attended primary schools at board heirs to warm and manly'] | |
[
"in practice any was metty and metty was any",
"in practice any was matty and matty was any",
"in practice any was metty and metty was any",
"in practice any was matty and matty was any",
"in practice any was metty and metty was any"
] | in practice eni was mattei and mattei was eni | in practice any was metty and metty was any. | in practice any was matty and matty was any. in practice any was metty and metty was any. in practice any was matty and matty was any. in practice any was metty and metty was any. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in practice any was metty and metty was any', 'in practice any was matty and matty was any', 'in practice any was metty and metty was any', 'in practice any was matty and matty was any', 'in practice any was metty and metty was any'] | |
[
"the dirt highway running knots out through xinjiang features an important chinese police checkpoint",
"the dirt highway running knots out through xinjiang features an important chinese police checkpoint",
"the dirt highway running north south through xinjiang features an important chinese police checkpoint",
... | the dirt highway running north south through xinzhai features an important chinese police checkpoint | the dirt highway running knots out through xinjiang features an important chinese police checkpoint. | the dirt highway running knots out through xinjiang features an important chinese police checkpoint. the dirt highway running north south through xinjiang features an important chinese police checkpoint. the dirt highway running knots out through xinjiang features an important chinese police checkpoint. the dirt highway running knots out through xinjiang features an important chinese police checkpoint. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the dirt highway running knots out through xinjiang features an important chinese police checkpoint', 'the dirt highway running knots out through xinjiang features an important chinese police checkpoint', 'the dirt highway running north south through xinjiang features an important chinese police checkpoint', 'the dirt highway running knots out through xinjiang features an important chinese police checkpoint', 'the dirt highway running knots out through xinjiang features an important chinese police checkpoint'] | |
[
"he remained out of politics and lived quietly in paris",
"he remained out of politics and lived quietly in paris",
"he remained out of politics and lived quietly in paris",
"he remained out of politics and lived quietly in paris",
"he remained out of politics and lived quietly in paris"
] | he remained out of politics and lived quietly in paris | he remained out of politics and lived quietly in paris. | he remained out of politics and lived quietly in paris. he remained out of politics and lived quietly in paris. he remained out of politics and lived quietly in paris. he remained out of politics and lived quietly in paris. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he remained out of politics and lived quietly in paris', 'he remained out of politics and lived quietly in paris', 'he remained out of politics and lived quietly in paris', 'he remained out of politics and lived quietly in paris', 'he remained out of politics and lived quietly in paris'] | |
[
"several retailers have since stopped selling coffee produced by case to see bits",
"several retailers have since stopped selling coffee produced my case to see bits",
"several retailers have since stopped selling coffee produced by case to see bits",
"several retailers have since stopped selling coffee produ... | several retailers have since stopped selling coffee produced by caged civets | several retailers have since stopped selling coffee produced by case to see bits. | several retailers have since stopped selling coffee produced my case to see bits. several retailers have since stopped selling coffee produced by case to see bits. several retailers have since stopped selling coffee produced my case to see bits. several retailers have since stopped sunny coffee produced by case to see bits. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['several retailers have since stopped selling coffee produced by case to see bits', 'several retailers have since stopped selling coffee produced my case to see bits', 'several retailers have since stopped selling coffee produced by case to see bits', 'several retailers have since stopped selling coffee produced my case to see bits', 'several retailers have since stopped sunny coffee produced by case to see bits'] | |
[
"sections of both river banks are maintained for recreation",
"sections of both river banks are maintained for recreation",
"sections of both river banks are maintained for recreation",
"sections of both river banks are maintained for recreation",
"sections of both river banks are maintained for recreation"... | sections of both river banks are maintained for recreation | sections of both river banks are maintained for recreation. | sections of both river banks are maintained for recreation. sections of both river banks are maintained for recreation. sections of both river banks are maintained for recreation. sections of both river banks are maintained for recreation. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sections of both river banks are maintained for recreation', 'sections of both river banks are maintained for recreation', 'sections of both river banks are maintained for recreation', 'sections of both river banks are maintained for recreation', 'sections of both river banks are maintained for recreation'] | |
[
"the farm sizes in rome can be divided into three categories",
"the farm sizes in rome can be divided into three categories",
"the farm sizes in rome can be divided into three categories",
"the farm sizes in rome can be divided into three categories",
"the farm sizes in rome can be divided into three catego... | the farm sizes in rome can be divided into three categories | the farm sizes in rome can be divided into three categories. | the farm sizes in rome can be divided into three categories. the farm sizes in rome can be divided into three categories. the farm sizes in rome can be divided into three categories. the farm sizes in rome can be divided into three categories. | train_cv | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the farm sizes in rome can be divided into three categories', 'the farm sizes in rome can be divided into three categories', 'the farm sizes in rome can be divided into three categories', 'the farm sizes in rome can be divided into three categories', 'the farm sizes in rome can be divided into three categories'] |
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