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[ "he needs the retired social studies middle school teacher", "pain is the retired social studies middle school teacher", "he needs to retire and social studies middle school teacher", "payne is the retired social studies middle school teacher", "he is the retired social studies middle school teacher" ]
payne is a retired social studies middle school teacher
he needs the retired social studies middle school teacher.
pain is the retired social studies middle school teacher. he needs to retire and social studies middle school teacher. payne is the retired social studies middle school teacher. he is the retired social studies middle school teacher.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he needs the retired social studies middle school teacher', 'pain is the retired social studies middle school teacher', 'he needs to retire and social studies middle school teacher', 'payne is the retired social studies middle school teacher', 'he is the retired social studies middle school teacher']
[ "the dimes tool she remembers has a sword fountain where can i just gather it", "the dimes tool she remembers has a sword fountain where can you just gather it", "the dimes tool she remembers has a sword fountain which he had just gathered", "the dimes tool she remembers has a sword fountain which he had gathered", "the dimes tool she remembers has a sword fountain which he has gathered" ]
the dime store she remembers had a soda fountain where teen agers gathered
the dimes tool she remembers has a sword fountain where can i just gather it.
the dimes tool she remembers has a sword fountain where can you just gather it. the dimes tool she remembers has a sword fountain which he had just gathered. the dimes tool she remembers has a sword fountain which he had gathered. the dimes tool she remembers has a sword fountain which he has gathered.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dimes tool she remembers has a sword fountain where can i just gather it', 'the dimes tool she remembers has a sword fountain where can you just gather it', 'the dimes tool she remembers has a sword fountain which he had just gathered', 'the dimes tool she remembers has a sword fountain which he had gathered', 'the dimes tool she remembers has a sword fountain which he has gathered']
[ "her father died in a japanese concentration camp and she was one year old", "her father died in the japanese concentration camp and she was one year old", "your father died in a japanese concentration camp and she was one year old", "your father died in the japanese concentration camp and she was one year old", "her father died in a japanese concentration camp when she was one year old" ]
her father died in a japanese concentration camp when she was one year old
her father died in a japanese concentration camp and she was one year old.
her father died in the japanese concentration camp and she was one year old. your father died in a japanese concentration camp and she was one year old. your father died in the japanese concentration camp and she was one year old. her father died in a japanese concentration camp when she was one year old.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her father died in a japanese concentration camp and she was one year old', 'her father died in the japanese concentration camp and she was one year old', 'your father died in a japanese concentration camp and she was one year old', 'your father died in the japanese concentration camp and she was one year old', 'her father died in a japanese concentration camp when she was one year old']
[ "he was signed as monday draft free agent at a bringer home young university", "he was signed as monday draft free agent at a brigham young university", "he was signed as monday draft free agent at a bringerham young university", "he was signed as monday draft free agent at a bring to him young university", "he was signed as monday draft free agent at a bring her home young university" ]
he was signed as an undrafted free agent out of brigham young university
he was signed as monday draft free agent at a bringer home young university.
he was signed as monday draft free agent at a brigham young university. he was signed as monday draft free agent at a bringerham young university. he was signed as monday draft free agent at a bring to him young university. he was signed as monday draft free agent at a bring her home young university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was signed as monday draft free agent at a bringer home young university', 'he was signed as monday draft free agent at a brigham young university', 'he was signed as monday draft free agent at a bringerham young university', 'he was signed as monday draft free agent at a bring to him young university', 'he was signed as monday draft free agent at a bring her home young university']
[ "his work ranges from poetry to novel and short stories", "his work rangers from poetry to novel and short stories", "his work arranges from poetry to novel and short stories", "his work ranges from poetry to novel and short stories", "his work rangers from poetry to novel and short stories" ]
his work ranges from poetry to novel and short stories
his work ranges from poetry to novel and short stories.
his work rangers from poetry to novel and short stories. his work arranges from poetry to novel and short stories. his work ranges from poetry to novel and short stories. his work rangers from poetry to novel and short stories.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his work ranges from poetry to novel and short stories', 'his work rangers from poetry to novel and short stories', 'his work arranges from poetry to novel and short stories', 'his work ranges from poetry to novel and short stories', 'his work rangers from poetry to novel and short stories']
[ "he rose up the ranks of the construction industry and tianjin politics", "he rose up the ranks of the construction industry and the engine politics", "he rose up the ranks of the construction industry and the angin politics", "he rose up the ranks of the construction industry and tianjin politics", "he rose up the ranks of the construction industry and the engine politics" ]
he rose up the ranks of the construction industry and tianjin politics
he rose up the ranks of the construction industry and tianjin politics.
he rose up the ranks of the construction industry and the engine politics. he rose up the ranks of the construction industry and the angin politics. he rose up the ranks of the construction industry and tianjin politics. he rose up the ranks of the construction industry and the engine politics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he rose up the ranks of the construction industry and tianjin politics', 'he rose up the ranks of the construction industry and the engine politics', 'he rose up the ranks of the construction industry and the angin politics', 'he rose up the ranks of the construction industry and tianjin politics', 'he rose up the ranks of the construction industry and the engine politics']
[ "there are two contacts for the use of multi level security", "there are two contacts for the use of multiple security", "there are two contexts for the use of multiple security", "there are two contexts for use of multi level security", "there are two contacts for the use of multiple levels security" ]
there are two contexts for the use of multilevel security
there are two contacts for the use of multi level security.
there are two contacts for the use of multiple security. there are two contexts for the use of multiple security. there are two contexts for use of multi level security. there are two contacts for the use of multiple levels security.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are two contacts for the use of multi level security', 'there are two contacts for the use of multiple security', 'there are two contexts for the use of multiple security', 'there are two contexts for use of multi level security', 'there are two contacts for the use of multiple levels security']
[ "he returned to his post unhurt but his clothes were riddled with bullets", "he returned to his post unheard but his clothes were riddled with bullets", "he returned to his post unhurt but his clothes were riddled with bullets", "he returned to his post unhurt but his clothes were riddled with bullets", "he returned to his post unhurt but his clothes were riddled with bullets" ]
he returned to his post unhurt but his clothes were riddled with bullets
he returned to his post unhurt but his clothes were riddled with bullets.
he returned to his post unheard but his clothes were riddled with bullets. he returned to his post unhurt but his clothes were riddled with bullets. he returned to his post unhurt but his clothes were riddled with bullets. he returned to his post unhurt but his clothes were riddled with bullets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he returned to his post unhurt but his clothes were riddled with bullets', 'he returned to his post unheard but his clothes were riddled with bullets', 'he returned to his post unhurt but his clothes were riddled with bullets', 'he returned to his post unhurt but his clothes were riddled with bullets', 'he returned to his post unhurt but his clothes were riddled with bullets']
[ "it was unknown whether or if he would ever return to the pitch", "it was unknown whether or if he would ever return to the pitch", "it was unknown whether or if he would ever return to the pitch", "it was unknown whether or if he would return to the pitch", "it was unknown whether or if he would ever return to the pitch" ]
it was unknown when or if he would ever return to the pitch
it was unknown whether or if he would ever return to the pitch.
it was unknown whether or if he would ever return to the pitch. it was unknown whether or if he would ever return to the pitch. it was unknown whether or if he would return to the pitch. it was unknown whether or if he would ever return to the pitch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was unknown whether or if he would ever return to the pitch', 'it was unknown whether or if he would ever return to the pitch', 'it was unknown whether or if he would ever return to the pitch', 'it was unknown whether or if he would return to the pitch', 'it was unknown whether or if he would ever return to the pitch']
[ "the party never won any seats", "the party never born any seeds", "the party never won any seats", "the party never borne any seeds", "the party never won any seeds" ]
the party never won any seats
the party never won any seats.
the party never born any seeds. the party never won any seats. the party never borne any seeds. the party never won any seeds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the party never won any seats', 'the party never born any seeds', 'the party never won any seats', 'the party never borne any seeds', 'the party never won any seeds']
[ "the township is served by the elizabethtown area school district and donnerville school district", "the township is served by the elizabethtown area school district and donnergill school district", "the township is served by the elizabethtown area school district and donnerville school district", "the township is served by the elizabethtown area school district and donnergill school district", "the township is served by the elizabeth town area school district and donnerville school district" ]
the township is served by the elizabethtown area school district and donegal school district
the township is served by the elizabethtown area school district and donnerville school district.
the township is served by the elizabethtown area school district and donnergill school district. the township is served by the elizabethtown area school district and donnerville school district. the township is served by the elizabethtown area school district and donnergill school district. the township is served by the elizabeth town area school district and donnerville school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the township is served by the elizabethtown area school district and donnerville school district', 'the township is served by the elizabethtown area school district and donnergill school district', 'the township is served by the elizabethtown area school district and donnerville school district', 'the township is served by the elizabethtown area school district and donnergill school district', 'the township is served by the elizabeth town area school district and donnerville school district']
[ "he also became the first european born captain in team history", "he also became the first european born captain in team history", "he also became the first european born captain in team history", "he also became the first european born captain in team history", "he also became the first european born captain in team history" ]
he also became the first european born captain in team history
he also became the first european born captain in team history.
he also became the first european born captain in team history. he also became the first european born captain in team history. he also became the first european born captain in team history. he also became the first european born captain in team history.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also became the first european born captain in team history', 'he also became the first european born captain in team history', 'he also became the first european born captain in team history', 'he also became the first european born captain in team history', 'he also became the first european born captain in team history']
[ "isaro expressed his satisfaction with the final result", "izzaro expressed his satisfaction with the final result", "ezadro expressed his satisfaction with the final result", "isaru expressed his satisfaction with the final result", "izaro expressed his satisfaction with the final result" ]
pizarro expressed his satisfaction with the final result
isaro expressed his satisfaction with the final result.
izzaro expressed his satisfaction with the final result. ezadro expressed his satisfaction with the final result. isaru expressed his satisfaction with the final result. izaro expressed his satisfaction with the final result.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['isaro expressed his satisfaction with the final result', 'izzaro expressed his satisfaction with the final result', 'ezadro expressed his satisfaction with the final result', 'isaru expressed his satisfaction with the final result', 'izaro expressed his satisfaction with the final result']
[ "this space is very much distinguishable from their normal day to day bang", "this space is very much distinguishable from their normal day to day bang", "this space is very much distinguishable from the normal day to day bang", "this space is very much distinguishable from their normal day to day thing", "this space is very much distinguishable from the normal day to day thing" ]
this bay is very much distinguishable from their normal day to day baying
this space is very much distinguishable from their normal day to day bang.
this space is very much distinguishable from their normal day to day bang. this space is very much distinguishable from the normal day to day bang. this space is very much distinguishable from their normal day to day thing. this space is very much distinguishable from the normal day to day thing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this space is very much distinguishable from their normal day to day bang', 'this space is very much distinguishable from their normal day to day bang', 'this space is very much distinguishable from the normal day to day bang', 'this space is very much distinguishable from their normal day to day thing', 'this space is very much distinguishable from the normal day to day thing']
[ "malriding skateboard down the road in the footage area", "malriding skateboard down the road in the corner area", "malroyding skateboard down the road in the footage area", "by the writing skateboard down the road in the corner area", "by the writing skateboard down the road in the footage area" ]
man riding skateboard down the road in a wooded area
malriding skateboard down the road in the footage area.
malriding skateboard down the road in the corner area. malroyding skateboard down the road in the footage area. by the writing skateboard down the road in the corner area. by the writing skateboard down the road in the footage area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['malriding skateboard down the road in the footage area', 'malriding skateboard down the road in the corner area', 'malroyding skateboard down the road in the footage area', 'by the writing skateboard down the road in the corner area', 'by the writing skateboard down the road in the footage area']
[ "the writer patrick maggie is a lunatic of the left", "the writer patrick maggi is a lunatic of the left", "the writer patrick maggie is a lunatic of the left", "the writer patrick mcgee is a lunatic of the left", "the right or patrick maggie is a lunatic of the left" ]
the writer patrick magee is a lunatic of the left .
the writer patrick maggie is a lunatic of the left.
the writer patrick maggi is a lunatic of the left. the writer patrick maggie is a lunatic of the left. the writer patrick mcgee is a lunatic of the left. the right or patrick maggie is a lunatic of the left.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the writer patrick maggie is a lunatic of the left', 'the writer patrick maggi is a lunatic of the left', 'the writer patrick maggie is a lunatic of the left', 'the writer patrick mcgee is a lunatic of the left', 'the right or patrick maggie is a lunatic of the left']
[ "around the anglesy coastal path is on holy island", "around the angle sea coastal path is on holy island", "around the angle sea coastal part is on holy island", "around the angle sea coastal path is on holy island", "around the anglesy coastal part is on holy island" ]
around of the anglesey coastal path is on holy island
around the anglesy coastal path is on holy island.
around the angle sea coastal path is on holy island. around the angle sea coastal part is on holy island. around the angle sea coastal path is on holy island. around the anglesy coastal part is on holy island.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['around the anglesy coastal path is on holy island', 'around the angle sea coastal path is on holy island', 'around the angle sea coastal part is on holy island', 'around the angle sea coastal path is on holy island', 'around the anglesy coastal part is on holy island']
[ "the former cathedral of saint vibriana in los angeles california was dedicated to her", "the former cathedral of saint vibriana in los angeles california was dedicated to her", "the former cathedral of saint vibriana in los angeles california was dedicated to her", "the former cathedral of saint vibriana in los angeles california was dedicated to her", "the former cathedral of saint vibrianna in los angeles california was dedicated to her" ]
the former cathedral of saint vibiana in los angeles california was dedicated to her
the former cathedral of saint vibriana in los angeles california was dedicated to her.
the former cathedral of saint vibriana in los angeles california was dedicated to her. the former cathedral of saint vibriana in los angeles california was dedicated to her. the former cathedral of saint vibriana in los angeles california was dedicated to her. the former cathedral of saint vibrianna in los angeles california was dedicated to her.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the former cathedral of saint vibriana in los angeles california was dedicated to her', 'the former cathedral of saint vibriana in los angeles california was dedicated to her', 'the former cathedral of saint vibriana in los angeles california was dedicated to her', 'the former cathedral of saint vibriana in los angeles california was dedicated to her', 'the former cathedral of saint vibrianna in los angeles california was dedicated to her']
[ "teams play a double round robber", "teams play a double round rubble", "teams play a double round rubber", "teams play double round robber", "teams play double round rubber" ]
teams play a double round robin
teams play a double round robber.
teams play a double round rubble. teams play a double round rubber. teams play double round robber. teams play double round rubber.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['teams play a double round robber', 'teams play a double round rubble', 'teams play a double round rubber', 'teams play double round robber', 'teams play double round rubber']
[ "the connection is expanding both its distribution areas and internet presence", "the connection is expanding both its distribution areas and internet presence", "the connection is expanding both it is distribution areas and internet presence", "the connection is expanding both its distribution areas and internet presence", "the connection is expanding both its distribution areas and internet presence" ]
the connection is expanding both its distribution areas and internet presence
the connection is expanding both its distribution areas and internet presence.
the connection is expanding both its distribution areas and internet presence. the connection is expanding both it is distribution areas and internet presence. the connection is expanding both its distribution areas and internet presence. the connection is expanding both its distribution areas and internet presence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the connection is expanding both its distribution areas and internet presence', 'the connection is expanding both its distribution areas and internet presence', 'the connection is expanding both it is distribution areas and internet presence', 'the connection is expanding both its distribution areas and internet presence', 'the connection is expanding both its distribution areas and internet presence']
[ "it was that he met dave matthew is band saxophonist leroym ure", "it was that he met dave matthew is band saxophonist leroy moure", "it was that he met dave matthew is band saxophonist leroy moury", "it was that he met dave matthew is band saxophonist leroym ure", "it was that he met dave matthew is band saxophonist lyroim ure" ]
it was there he met dave matthews band saxophonist leroi moore
it was that he met dave matthew is band saxophonist leroym ure.
it was that he met dave matthew is band saxophonist leroy moure. it was that he met dave matthew is band saxophonist leroy moury. it was that he met dave matthew is band saxophonist leroym ure. it was that he met dave matthew is band saxophonist lyroim ure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was that he met dave matthew is band saxophonist leroym ure', 'it was that he met dave matthew is band saxophonist leroy moure', 'it was that he met dave matthew is band saxophonist leroy moury', 'it was that he met dave matthew is band saxophonist leroym ure', 'it was that he met dave matthew is band saxophonist lyroim ure']
[ "araria is situated at the northern part of purnia and madhyapur in bihar", "aranya is situated at the northern part of purnia and madhyapur in bihar", "araraya is situated at the northern part of purnia and madhyapur in bihar", "arariya is situated at the northern part of purnia and madhyapur in bihar", "ahraria is situated at the northern part of purnia and madhyapur in bihar" ]
araria is situated at the northern part of purnia and madhepura in bihar
araria is situated at the northern part of purnia and madhyapur in bihar.
aranya is situated at the northern part of purnia and madhyapur in bihar. araraya is situated at the northern part of purnia and madhyapur in bihar. arariya is situated at the northern part of purnia and madhyapur in bihar. ahraria is situated at the northern part of purnia and madhyapur in bihar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['araria is situated at the northern part of purnia and madhyapur in bihar', 'aranya is situated at the northern part of purnia and madhyapur in bihar', 'araraya is situated at the northern part of purnia and madhyapur in bihar', 'arariya is situated at the northern part of purnia and madhyapur in bihar', 'ahraria is situated at the northern part of purnia and madhyapur in bihar']
[ "atwater is part of the akron midra politan statistical area", "atwater is part of the akron midra politan statistical area", "atwater is part of the akron mitropolitans statistical area", "atwater is part of the akron mid repolitan statistical area", "atwater is part of the akron midra politin statistical area" ]
atwater is part of the akron metropolitan statistical area
atwater is part of the akron midra politan statistical area.
atwater is part of the akron midra politan statistical area. atwater is part of the akron mitropolitans statistical area. atwater is part of the akron mid repolitan statistical area. atwater is part of the akron midra politin statistical area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['atwater is part of the akron midra politan statistical area', 'atwater is part of the akron midra politan statistical area', 'atwater is part of the akron mitropolitans statistical area', 'atwater is part of the akron mid repolitan statistical area', 'atwater is part of the akron midra politin statistical area']
[ "the school district was designed and built by doctor k slater", "the school district was designed and built by doctor k slater", "the school district was designed and built by doctor k slater", "the school district was designed and built by doctor k slater", "the school district was designed and built by doctor k slater" ]
the school district was designed and built by doctor k slater
the school district was designed and built by doctor k slater.
the school district was designed and built by doctor k slater. the school district was designed and built by doctor k slater. the school district was designed and built by doctor k slater. the school district was designed and built by doctor k slater.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the school district was designed and built by doctor k slater', 'the school district was designed and built by doctor k slater', 'the school district was designed and built by doctor k slater', 'the school district was designed and built by doctor k slater', 'the school district was designed and built by doctor k slater']
[ "despite his service with julius caesar nilo was an optimist at heart", "despite a service with julius caesar nilo was an optimist at heart", "despite his service with julius caesar nilo was an optimist at heart", "despite its service with julius caesar nilo was an optimist at heart", "despite its service with julius caesar nilo was an optimist at heart" ]
despite his service with julius caesar nero was an optimate at heart
despite his service with julius caesar nilo was an optimist at heart.
despite a service with julius caesar nilo was an optimist at heart. despite his service with julius caesar nilo was an optimist at heart. despite its service with julius caesar nilo was an optimist at heart. despite its service with julius caesar nilo was an optimist at heart.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['despite his service with julius caesar nilo was an optimist at heart', 'despite a service with julius caesar nilo was an optimist at heart', 'despite his service with julius caesar nilo was an optimist at heart', 'despite its service with julius caesar nilo was an optimist at heart', 'despite its service with julius caesar nilo was an optimist at heart']
[ "it was really silly", "it was really silly", "it was really silly", "it was really silly", "it was really silly" ]
it was really silly
it was really silly.
it was really silly. it was really silly. it was really silly. it was really silly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was really silly', 'it was really silly', 'it was really silly', 'it was really silly', 'it was really silly']
[ "after this the company canceled their payments to lops", "after this the company canceled their payments to lobs", "after this the company canceled their payments to lops", "after this the company canceled their payments to lops", "after this the company canceled their payments to lobs" ]
after this the company canceled their payments to iops
after this the company canceled their payments to lops.
after this the company canceled their payments to lobs. after this the company canceled their payments to lops. after this the company canceled their payments to lops. after this the company canceled their payments to lobs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after this the company canceled their payments to lops', 'after this the company canceled their payments to lobs', 'after this the company canceled their payments to lops', 'after this the company canceled their payments to lops', 'after this the company canceled their payments to lobs']
[ "she also opened a tanning salon and did some modeling", "she also opened a tanning salon and did some modeling", "she also opened a tanning salon and did some modeling", "she also opened a tanning cell on and did some modeling", "she also opened a tanning salon and did some modeling" ]
she also opened a tanning salon and did some modeling
she also opened a tanning salon and did some modeling.
she also opened a tanning salon and did some modeling. she also opened a tanning salon and did some modeling. she also opened a tanning cell on and did some modeling. she also opened a tanning salon and did some modeling.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she also opened a tanning salon and did some modeling', 'she also opened a tanning salon and did some modeling', 'she also opened a tanning salon and did some modeling', 'she also opened a tanning cell on and did some modeling', 'she also opened a tanning salon and did some modeling']
[ "it is capital is techno", "its capital is techno", "it is capital is techno", "it is capitalist techno", "its capital is techno" ]
its capital is tacna
it is capital is techno.
its capital is techno. it is capital is techno. it is capitalist techno. its capital is techno.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is capital is techno', 'its capital is techno', 'it is capital is techno', 'it is capitalist techno', 'its capital is techno']
[ "loring hoven came from an aristocratic baltic german family in kortland descendant from westphalia", "lorringhoven came from an aristocratic baltic german family in kortland descendant from westphalia", "loring hoven came from an aristocratic baltic german family in coatland descendant from westphalia", "loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia", "loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia" ]
loringhoven came from an aristocratic baltic german family in courland descended from westphalia
loring hoven came from an aristocratic baltic german family in kortland descendant from westphalia.
lorringhoven came from an aristocratic baltic german family in kortland descendant from westphalia. loring hoven came from an aristocratic baltic german family in coatland descendant from westphalia. loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia. loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['loring hoven came from an aristocratic baltic german family in kortland descendant from westphalia', 'lorringhoven came from an aristocratic baltic german family in kortland descendant from westphalia', 'loring hoven came from an aristocratic baltic german family in coatland descendant from westphalia', 'loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia', 'loring hoven came from an aristocratic baltic german family in courtland descendant from westphalia']
[ "a base has always been a significant factor in the gas conflict", "a base has always been a significant factor in the cause conflict", "a base has always been a significant factor in the cos conflict", "a base has always been a significant factor in the cast conflict", "appearance has always been a significant factor in the cause conflict" ]
the base has always been a significant factor in the abkhaz conflict
a base has always been a significant factor in the gas conflict.
a base has always been a significant factor in the cause conflict. a base has always been a significant factor in the cos conflict. a base has always been a significant factor in the cast conflict. appearance has always been a significant factor in the cause conflict.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a base has always been a significant factor in the gas conflict', 'a base has always been a significant factor in the cause conflict', 'a base has always been a significant factor in the cos conflict', 'a base has always been a significant factor in the cast conflict', 'appearance has always been a significant factor in the cause conflict']
[ "after subsequent research philopium was identified to be a mixture of tantalum and neobium", "after subsequent research pelopium was identified to be a mixture of tantalum and neobium", "after subsequent research pilopium was identified to be a mixture of tantalum and neobium", "after subsequent research pilopeum was identified to be a mixture of tantalum and neobium", "after subsequent research pilopium was identified to be a mixture of tantalum and neobium" ]
after subsequent research pelopium was identified to be a mixture of tantalum and niobium
after subsequent research philopium was identified to be a mixture of tantalum and neobium.
after subsequent research pelopium was identified to be a mixture of tantalum and neobium. after subsequent research pilopium was identified to be a mixture of tantalum and neobium. after subsequent research pilopeum was identified to be a mixture of tantalum and neobium. after subsequent research pilopium was identified to be a mixture of tantalum and neobium.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after subsequent research philopium was identified to be a mixture of tantalum and neobium', 'after subsequent research pelopium was identified to be a mixture of tantalum and neobium', 'after subsequent research pilopium was identified to be a mixture of tantalum and neobium', 'after subsequent research pilopeum was identified to be a mixture of tantalum and neobium', 'after subsequent research pilopium was identified to be a mixture of tantalum and neobium']
[ "the disruptive liberum veto was suspended", "the disruptive liberum vtwo was suspended", "the disruptive liberum veto was suspended", "the disruptive liberal veto was suspended", "the disruptive liberum veto was suspended" ]
the disruptive liberum veto was suspended
the disruptive liberum veto was suspended.
the disruptive liberum vtwo was suspended. the disruptive liberum veto was suspended. the disruptive liberal veto was suspended. the disruptive liberum veto was suspended.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the disruptive liberum veto was suspended', 'the disruptive liberum vtwo was suspended', 'the disruptive liberum veto was suspended', 'the disruptive liberal veto was suspended', 'the disruptive liberum veto was suspended']
[ "the half of a ship takes place in okawa ontario", "the half of a ship takes place in okava ontario", "the half over shoot takes place in okawa ontario", "the half over shoop takes place in okawa ontario", "the half of a ship takes place in okawa on tokyo" ]
the half hour show takes place in ottawa ontario
the half of a ship takes place in okawa ontario.
the half of a ship takes place in okava ontario. the half over shoot takes place in okawa ontario. the half over shoop takes place in okawa ontario. the half of a ship takes place in okawa on tokyo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the half of a ship takes place in okawa ontario', 'the half of a ship takes place in okava ontario', 'the half over shoot takes place in okawa ontario', 'the half over shoop takes place in okawa ontario', 'the half of a ship takes place in okawa on tokyo']
[ "the road from johannesburg to the south is named rivenia road", "the road from johannesburg to the south is named rivonia road", "the road from johannesburg to the south is named rivenia road", "the road from johannesburg to the south is named rivenia road", "the road from johannesburg to the south is named riveonia road" ]
the road from johannesburg to the south is named rivonia road
the road from johannesburg to the south is named rivenia road.
the road from johannesburg to the south is named rivonia road. the road from johannesburg to the south is named rivenia road. the road from johannesburg to the south is named rivenia road. the road from johannesburg to the south is named riveonia road.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the road from johannesburg to the south is named rivenia road', 'the road from johannesburg to the south is named rivonia road', 'the road from johannesburg to the south is named rivenia road', 'the road from johannesburg to the south is named rivenia road', 'the road from johannesburg to the south is named riveonia road']
[ "the award comes in the form of a medallion engraved with suzanne beyonce is image", "the award comes in the form of a medallion engraved with suzanne biancetti is image", "the award comes in the form of a medallion engraved with suzanne bianchetti is image", "the award comes in the form of a medallion engraved with suzanne biancierti is image", "the award comes in the form of a medallion engraved with susanne beyonce is image" ]
the award comes in the form of a medallion engraved with suzanne bianchetti is image
the award comes in the form of a medallion engraved with suzanne beyonce is image.
the award comes in the form of a medallion engraved with suzanne biancetti is image. the award comes in the form of a medallion engraved with suzanne bianchetti is image. the award comes in the form of a medallion engraved with suzanne biancierti is image. the award comes in the form of a medallion engraved with susanne beyonce is image.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the award comes in the form of a medallion engraved with suzanne beyonce is image', 'the award comes in the form of a medallion engraved with suzanne biancetti is image', 'the award comes in the form of a medallion engraved with suzanne bianchetti is image', 'the award comes in the form of a medallion engraved with suzanne biancierti is image', 'the award comes in the form of a medallion engraved with susanne beyonce is image']
[ "the upper parts are mostly brown but also black streaks", "the upper parts are mostly brown but also black streaks", "the upper parts are mostly brown but also black streaks", "the upper parts are mostly brown but also black streaks", "the upper parts are mostly brown but also black streaks" ]
their upper parts are mostly brown but also have black streaks
the upper parts are mostly brown but also black streaks.
the upper parts are mostly brown but also black streaks. the upper parts are mostly brown but also black streaks. the upper parts are mostly brown but also black streaks. the upper parts are mostly brown but also black streaks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the upper parts are mostly brown but also black streaks', 'the upper parts are mostly brown but also black streaks', 'the upper parts are mostly brown but also black streaks', 'the upper parts are mostly brown but also black streaks', 'the upper parts are mostly brown but also black streaks']
[ "he is best known for his work in spin tronics in semiconductors", "he is best known for his work in spin tronics in semiconductors", "he is best known for his work in spin tronics in semi conductors", "he is best known for his work in spin tronics in semi conductors", "he is best known for his work in spin tronics in semi conductors" ]
he is best known for his work in spintronics in semiconductors
he is best known for his work in spin tronics in semiconductors.
he is best known for his work in spin tronics in semiconductors. he is best known for his work in spin tronics in semi conductors. he is best known for his work in spin tronics in semi conductors. he is best known for his work in spin tronics in semi conductors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is best known for his work in spin tronics in semiconductors', 'he is best known for his work in spin tronics in semiconductors', 'he is best known for his work in spin tronics in semi conductors', 'he is best known for his work in spin tronics in semi conductors', 'he is best known for his work in spin tronics in semi conductors']
[ "the developers then left the project", "the developers then left the project", "the developers then left the project", "the developers then left the project", "the developers then left the project" ]
the developers then left the project
the developers then left the project.
the developers then left the project. the developers then left the project. the developers then left the project. the developers then left the project.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the developers then left the project', 'the developers then left the project', 'the developers then left the project', 'the developers then left the project', 'the developers then left the project']
[ "i like garlic rice", "i like garlic rice", "i like garlic fries", "i like garlic fries", "i like garlic right" ]
i like curly fries
i like garlic rice.
i like garlic rice. i like garlic fries. i like garlic fries. i like garlic right.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i like garlic rice', 'i like garlic rice', 'i like garlic fries', 'i like garlic fries', 'i like garlic right']
[ "furthermore the prison system is the third largest employer in the world", "furthermore the prison system is the threerd largest employer in the world", "furthermore the prison system is the third largest employer in the world", "furthermore the prison system is the third largest employer in the world", "furthermore the prison system is the threerd largest employer in the world" ]
furthermore the prison system is the third largest employer in the world
furthermore the prison system is the third largest employer in the world.
furthermore the prison system is the threerd largest employer in the world. furthermore the prison system is the third largest employer in the world. furthermore the prison system is the third largest employer in the world. furthermore the prison system is the threerd largest employer in the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['furthermore the prison system is the third largest employer in the world', 'furthermore the prison system is the threerd largest employer in the world', 'furthermore the prison system is the third largest employer in the world', 'furthermore the prison system is the third largest employer in the world', 'furthermore the prison system is the threerd largest employer in the world']
[ "she bought a lot of brown red and five current buns", "she bought a lot of brown red and five current buns", "she bought a lot of brown red and five current buns", "she bought a lot of brown red and five current buns", "she bought a lot of brown red and five current buns" ]
she bought a loaf of brown bread and five currant buns
she bought a lot of brown red and five current buns.
she bought a lot of brown red and five current buns. she bought a lot of brown red and five current buns. she bought a lot of brown red and five current buns. she bought a lot of brown red and five current buns.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she bought a lot of brown red and five current buns', 'she bought a lot of brown red and five current buns', 'she bought a lot of brown red and five current buns', 'she bought a lot of brown red and five current buns', 'she bought a lot of brown red and five current buns']
[ "the pocket drive pod self timer closer up lenses dock room equipment and filters appeared in this period", "the pocket drive pod self timer closer up lenses doctrine equipment and filters appeared in this period", "the pocket drive pod self timer closer up lenses darkroom equipment and filters appeared in this period", "the pocket drive pod self timer closer up lenses dark room equipment and filters appeared in this period", "the pocket drive pod self timer closer up cleansers dock room equipment and filters appeared in this period" ]
a pocket tripod self timer close up lenses darkroom equipment and filters appeared in this period
the pocket drive pod self timer closer up lenses dock room equipment and filters appeared in this period.
the pocket drive pod self timer closer up lenses doctrine equipment and filters appeared in this period. the pocket drive pod self timer closer up lenses darkroom equipment and filters appeared in this period. the pocket drive pod self timer closer up lenses dark room equipment and filters appeared in this period. the pocket drive pod self timer closer up cleansers dock room equipment and filters appeared in this period.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the pocket drive pod self timer closer up lenses dock room equipment and filters appeared in this period', 'the pocket drive pod self timer closer up lenses doctrine equipment and filters appeared in this period', 'the pocket drive pod self timer closer up lenses darkroom equipment and filters appeared in this period', 'the pocket drive pod self timer closer up lenses dark room equipment and filters appeared in this period', 'the pocket drive pod self timer closer up cleansers dock room equipment and filters appeared in this period']
[ "the play is dreadful and others is not much better", "the play is dreadful and others is not much better", "the play is dreadful and others is not much better", "the play is dreadful and others is not much better", "the play is dreadful and others is not much better" ]
the play is dreadful and avice is not much better
the play is dreadful and others is not much better.
the play is dreadful and others is not much better. the play is dreadful and others is not much better. the play is dreadful and others is not much better. the play is dreadful and others is not much better.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the play is dreadful and others is not much better', 'the play is dreadful and others is not much better', 'the play is dreadful and others is not much better', 'the play is dreadful and others is not much better', 'the play is dreadful and others is not much better']
[ "anyone can judge the games and anyone can donate a prize", "anyone can judge the games and anyone can donate a prize", "anyone can judge the gains and anyone can donate a prize", "anyone can judge the games and anyone can donate a prize", "anyone can judge the games and anyone can donate a prize" ]
anyone can judge the games and anyone can donate a prize
anyone can judge the games and anyone can donate a prize.
anyone can judge the games and anyone can donate a prize. anyone can judge the gains and anyone can donate a prize. anyone can judge the games and anyone can donate a prize. anyone can judge the games and anyone can donate a prize.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['anyone can judge the games and anyone can donate a prize', 'anyone can judge the games and anyone can donate a prize', 'anyone can judge the gains and anyone can donate a prize', 'anyone can judge the games and anyone can donate a prize', 'anyone can judge the games and anyone can donate a prize']
[ "he was expelled from the latter for gross studied and sustained insolence", "he was expelled from the latter for a gross studied and sustained insolence", "he was expelled from the latter for gross studied and sustained insolence", "he was expelled from the latter for a gross studied and sustained insolence", "he was expelled from the latter for a gross studied and sustained" ]
he was expelled from the latter for gross studied and sustained insolence
he was expelled from the latter for gross studied and sustained insolence.
he was expelled from the latter for a gross studied and sustained insolence. he was expelled from the latter for gross studied and sustained insolence. he was expelled from the latter for a gross studied and sustained insolence. he was expelled from the latter for a gross studied and sustained.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was expelled from the latter for gross studied and sustained insolence', 'he was expelled from the latter for a gross studied and sustained insolence', 'he was expelled from the latter for gross studied and sustained insolence', 'he was expelled from the latter for a gross studied and sustained insolence', 'he was expelled from the latter for a gross studied and sustained']
[ "the frottilla then moved to tawamina where the railway station was shut", "the frottilla then moved to tawamina where the railway station was shut", "the frottilla then moved to taumina where the railway station was shut", "the frottilla then moved to tawamina where the railway station was shelt", "the frottilla then moved to taumina where the railway station was shut" ]
the flotilla then moved to taormina where the railway station was shelled
the frottilla then moved to tawamina where the railway station was shut.
the frottilla then moved to tawamina where the railway station was shut. the frottilla then moved to taumina where the railway station was shut. the frottilla then moved to tawamina where the railway station was shelt. the frottilla then moved to taumina where the railway station was shut.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the frottilla then moved to tawamina where the railway station was shut', 'the frottilla then moved to tawamina where the railway station was shut', 'the frottilla then moved to taumina where the railway station was shut', 'the frottilla then moved to tawamina where the railway station was shelt', 'the frottilla then moved to taumina where the railway station was shut']
[ "it therefore did not need to take part in any playoffs", "it therefore did not need to take part in any playoffs", "it therefore did not need to take part in any playoffs", "therefore it did not need to take part in any playoffs", "it therefore do not need to take part in any playoffs" ]
it therefore did not need to take part in any play offs
it therefore did not need to take part in any playoffs.
it therefore did not need to take part in any playoffs. it therefore did not need to take part in any playoffs. therefore it did not need to take part in any playoffs. it therefore do not need to take part in any playoffs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it therefore did not need to take part in any playoffs', 'it therefore did not need to take part in any playoffs', 'it therefore did not need to take part in any playoffs', 'therefore it did not need to take part in any playoffs', 'it therefore do not need to take part in any playoffs']
[ "temperatures exceed a handful of times a decade", "temperature is exceed a handful of times a decade", "temperature is exceed a handful of times a decade", "temperature is exceed a handful of times a decade", "temperature is exceed a handful of times a decade" ]
temperatures exceed a handful of times a decade
temperatures exceed a handful of times a decade.
temperature is exceed a handful of times a decade. temperature is exceed a handful of times a decade. temperature is exceed a handful of times a decade. temperature is exceed a handful of times a decade.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['temperatures exceed a handful of times a decade', 'temperature is exceed a handful of times a decade', 'temperature is exceed a handful of times a decade', 'temperature is exceed a handful of times a decade', 'temperature is exceed a handful of times a decade']
[ "research at the university can be classified into personal sponsored and client funded", "research at the university can be classified into personal sponsored and client funded", "research at the university can be classified into personal sponsored and client funded", "research at the university can be classified into personal sponsored and client funded", "research at the university can be classified into personal sponsored and client funded" ]
research at the university can be classified into personal sponsored and client funded
research at the university can be classified into personal sponsored and client funded.
research at the university can be classified into personal sponsored and client funded. research at the university can be classified into personal sponsored and client funded. research at the university can be classified into personal sponsored and client funded. research at the university can be classified into personal sponsored and client funded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['research at the university can be classified into personal sponsored and client funded', 'research at the university can be classified into personal sponsored and client funded', 'research at the university can be classified into personal sponsored and client funded', 'research at the university can be classified into personal sponsored and client funded', 'research at the university can be classified into personal sponsored and client funded']
[ "j j", "jj", "j j", "j j", "j j" ]
j j
j j.
jj. j j. j j. j j.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['j j', 'jj', 'j j', 'j j', 'j j']
[ "the tiantai school which was favored by the sui fell in disgrace", "the tiantai school which was favored by the sui fell in disgrace", "the tiantai school which was favored by the swain fell in disgrace", "the tiantai school which was favored by the sway fell in disgrace", "the tiantai school which was favored by the swing fell in disgrace" ]
the tiantai school which was favored by the sui fell in disgrace
the tiantai school which was favored by the sui fell in disgrace.
the tiantai school which was favored by the sui fell in disgrace. the tiantai school which was favored by the swain fell in disgrace. the tiantai school which was favored by the sway fell in disgrace. the tiantai school which was favored by the swing fell in disgrace.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tiantai school which was favored by the sui fell in disgrace', 'the tiantai school which was favored by the sui fell in disgrace', 'the tiantai school which was favored by the swain fell in disgrace', 'the tiantai school which was favored by the sway fell in disgrace', 'the tiantai school which was favored by the swing fell in disgrace']
[ "only one single is recorded with the two songs craving and sun feast", "only one single was recorded with the two songs craving and sun feast", "only one single is recorded with the two songs craving and sun feast", "only one single is recorded with the two songs craving and sun feast", "only one single was recorded with the two songs craving and sun feast" ]
only one single was recorded with the two songs craving and sunfeast
only one single is recorded with the two songs craving and sun feast.
only one single was recorded with the two songs craving and sun feast. only one single is recorded with the two songs craving and sun feast. only one single is recorded with the two songs craving and sun feast. only one single was recorded with the two songs craving and sun feast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['only one single is recorded with the two songs craving and sun feast', 'only one single was recorded with the two songs craving and sun feast', 'only one single is recorded with the two songs craving and sun feast', 'only one single is recorded with the two songs craving and sun feast', 'only one single was recorded with the two songs craving and sun feast']
[ "this needs to be a necessity gap between vigilant and high compositions", "this leads to a necessity gap between vigilant and high compositions", "this leads to a necessity gap between vigilant and off high compositions", "this leads to a necessity gap between vigilant and off hide compositions", "this needs to remissivity gap between vigilant and high compositions" ]
this leads to a miscibility gap between pigeonite and augite compositions
this needs to be a necessity gap between vigilant and high compositions.
this leads to a necessity gap between vigilant and high compositions. this leads to a necessity gap between vigilant and off high compositions. this leads to a necessity gap between vigilant and off hide compositions. this needs to remissivity gap between vigilant and high compositions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this needs to be a necessity gap between vigilant and high compositions', 'this leads to a necessity gap between vigilant and high compositions', 'this leads to a necessity gap between vigilant and off high compositions', 'this leads to a necessity gap between vigilant and off hide compositions', 'this needs to remissivity gap between vigilant and high compositions']
[ "he currently resides in boston massachusetts", "it currently resides in boston massachusetts", "the currently resides in boston massachusetts", "it currently resides in boston massachusetts", "the currently resides in boston massachusetts" ]
he currently resides in boston massachusetts
he currently resides in boston massachusetts.
it currently resides in boston massachusetts. the currently resides in boston massachusetts. it currently resides in boston massachusetts. the currently resides in boston massachusetts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he currently resides in boston massachusetts', 'it currently resides in boston massachusetts', 'the currently resides in boston massachusetts', 'it currently resides in boston massachusetts', 'the currently resides in boston massachusetts']
[ "it has been designated by the government as an important cultural property", "it has been designated by the government as an important cultural property", "it has been designated by the government as an important culture and property", "it has been designated by the government as an important cultural property", "it has been designated by the government as an important cultural property" ]
it has been designated by the government as an important cultural property
it has been designated by the government as an important cultural property.
it has been designated by the government as an important cultural property. it has been designated by the government as an important culture and property. it has been designated by the government as an important cultural property. it has been designated by the government as an important cultural property.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has been designated by the government as an important cultural property', 'it has been designated by the government as an important cultural property', 'it has been designated by the government as an important culture and property', 'it has been designated by the government as an important cultural property', 'it has been designated by the government as an important cultural property']
[ "hence science stories can be considered a continuation of other worlds", "hence science stories can be considered a continuation of the other worlds", "hence science stories can be considered a continuation of other worlds", "hence science stories can be considered a continuation of other worlds", "hence science stories can be considered a continuation of the other worlds" ]
hence science stories can be considered a continuation of other worlds
hence science stories can be considered a continuation of other worlds.
hence science stories can be considered a continuation of the other worlds. hence science stories can be considered a continuation of other worlds. hence science stories can be considered a continuation of other worlds. hence science stories can be considered a continuation of the other worlds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hence science stories can be considered a continuation of other worlds', 'hence science stories can be considered a continuation of the other worlds', 'hence science stories can be considered a continuation of other worlds', 'hence science stories can be considered a continuation of other worlds', 'hence science stories can be considered a continuation of the other worlds']
[ "he was replaced by professor lonnie ganser", "he was replaced by professor ronny ganser", "he was replaced by professor rani ganser", "he was replaced by professor ronnie ganser", "he was replaced by professor lonnie gamser" ]
he was replaced by professor roni gamzo
he was replaced by professor lonnie ganser.
he was replaced by professor ronny ganser. he was replaced by professor rani ganser. he was replaced by professor ronnie ganser. he was replaced by professor lonnie gamser.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was replaced by professor lonnie ganser', 'he was replaced by professor ronny ganser', 'he was replaced by professor rani ganser', 'he was replaced by professor ronnie ganser', 'he was replaced by professor lonnie gamser']
[ "he was a great friend of francesco francia who was much influenced by him", "he was a great friend of francisco francia who was much influenced by him", "he was a great friend of francesco francia who was much influenced by him", "he was a great friend of francisco francia who was much influenced by him", "he was a great friend of francesco fransier who was much influenced by him" ]
he was a great friend of francesco francia who was much influenced by him
he was a great friend of francesco francia who was much influenced by him.
he was a great friend of francisco francia who was much influenced by him. he was a great friend of francesco francia who was much influenced by him. he was a great friend of francisco francia who was much influenced by him. he was a great friend of francesco fransier who was much influenced by him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a great friend of francesco francia who was much influenced by him', 'he was a great friend of francisco francia who was much influenced by him', 'he was a great friend of francesco francia who was much influenced by him', 'he was a great friend of francisco francia who was much influenced by him', 'he was a great friend of francesco fransier who was much influenced by him']
[ "marry for us in his kit", "marie prasem is hiscuit", "marie prasem hiscuit", "maria prasem his kid", "maria pura is in his kit" ]
why would he put us in his skit
marry for us in his kit.
marie prasem is hiscuit. marie prasem hiscuit. maria prasem his kid. maria pura is in his kit.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['marry for us in his kit', 'marie prasem is hiscuit', 'marie prasem hiscuit', 'maria prasem his kid', 'maria pura is in his kit']
[ "for flats they also inspect roof construction", "for flats they also inspect roof construction", "for flats they also inspect roof construction", "for flats they also inspect roof construction", "for flats they also inspect roof construction" ]
for flats they also inspect roof construction
for flats they also inspect roof construction.
for flats they also inspect roof construction. for flats they also inspect roof construction. for flats they also inspect roof construction. for flats they also inspect roof construction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for flats they also inspect roof construction', 'for flats they also inspect roof construction', 'for flats they also inspect roof construction', 'for flats they also inspect roof construction', 'for flats they also inspect roof construction']
[ "several of the asian species are widely cultivated as ornamental trees", "several of the asian species are widely cultivated as ornamental trees", "several of the asian species are widely cultivated as ornamental trees", "several of the asian species are widely cultivated as ornamental trees", "several of the asian species are widely cultivated as ornamental trees" ]
several of the asian species are widely cultivated as ornamental trees
several of the asian species are widely cultivated as ornamental trees.
several of the asian species are widely cultivated as ornamental trees. several of the asian species are widely cultivated as ornamental trees. several of the asian species are widely cultivated as ornamental trees. several of the asian species are widely cultivated as ornamental trees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['several of the asian species are widely cultivated as ornamental trees', 'several of the asian species are widely cultivated as ornamental trees', 'several of the asian species are widely cultivated as ornamental trees', 'several of the asian species are widely cultivated as ornamental trees', 'several of the asian species are widely cultivated as ornamental trees']
[ "peter then locks himself in a room and contemplates suicide", "peter then locks himself in the room and contemplates suicide", "peter then locks him off in a room and contemplates suicide", "peter then locks himself in a room and contemplates suicide", "peter then locks himself into a room and contemplates suicide" ]
peter then locks himself in a room and contemplates suicide
peter then locks himself in a room and contemplates suicide.
peter then locks himself in the room and contemplates suicide. peter then locks him off in a room and contemplates suicide. peter then locks himself in a room and contemplates suicide. peter then locks himself into a room and contemplates suicide.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['peter then locks himself in a room and contemplates suicide', 'peter then locks himself in the room and contemplates suicide', 'peter then locks him off in a room and contemplates suicide', 'peter then locks himself in a room and contemplates suicide', 'peter then locks himself into a room and contemplates suicide']
[ "the collaboration helped to create a new industry high fidelity audio", "their collaboration helped to create a new industry high fidelity audio", "the collaboration helped to create a new industry high fidelity audio", "the collaboration helps to create a new industry high fidelity audio", "their collaboration helped to create a new industry high fidelity audio" ]
their collaboration helped to create a new industry high fidelity audio
the collaboration helped to create a new industry high fidelity audio.
their collaboration helped to create a new industry high fidelity audio. the collaboration helped to create a new industry high fidelity audio. the collaboration helps to create a new industry high fidelity audio. their collaboration helped to create a new industry high fidelity audio.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the collaboration helped to create a new industry high fidelity audio', 'their collaboration helped to create a new industry high fidelity audio', 'the collaboration helped to create a new industry high fidelity audio', 'the collaboration helps to create a new industry high fidelity audio', 'their collaboration helped to create a new industry high fidelity audio']
[ "for this pop up of jump design the pressure at portland", "for this pop up of jump design the pressure at port line", "for this pop up of jump design the pressure at portland", "for this pop up of job design the pressure at portland", "for this pop up of jump design the pressure at portline" ]
for this purpose jebb designed the prison at portland
for this pop up of jump design the pressure at portland.
for this pop up of jump design the pressure at port line. for this pop up of jump design the pressure at portland. for this pop up of job design the pressure at portland. for this pop up of jump design the pressure at portline.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for this pop up of jump design the pressure at portland', 'for this pop up of jump design the pressure at port line', 'for this pop up of jump design the pressure at portland', 'for this pop up of job design the pressure at portland', 'for this pop up of jump design the pressure at portline']
[ "he was one of the three over the lemonade after crossing the reversing", "he was one of the three of the laminites after crossing the reversing", "he was one of the three of the lemonites after crossing the reversing", "here is one of the three of the laminites after crossing the reversing", "he was one of the three of the laminites after crossing the river scene" ]
he also won a victory over the lamanites after crossing the river sidon
he was one of the three over the lemonade after crossing the reversing.
he was one of the three of the laminites after crossing the reversing. he was one of the three of the lemonites after crossing the reversing. here is one of the three of the laminites after crossing the reversing. he was one of the three of the laminites after crossing the river scene.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was one of the three over the lemonade after crossing the reversing', 'he was one of the three of the laminites after crossing the reversing', 'he was one of the three of the lemonites after crossing the reversing', 'here is one of the three of the laminites after crossing the reversing', 'he was one of the three of the laminites after crossing the river scene']
[ "trainer is a part of chichester school district", "trainer is a part of chichester is school district", "trainer is a part of chichester school district", "trainer is a part of chichester is school district", "trainer is a part of chichester is school district" ]
trainer is a part of chichester school district
trainer is a part of chichester school district.
trainer is a part of chichester is school district. trainer is a part of chichester school district. trainer is a part of chichester is school district. trainer is a part of chichester is school district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['trainer is a part of chichester school district', 'trainer is a part of chichester is school district', 'trainer is a part of chichester school district', 'trainer is a part of chichester is school district', 'trainer is a part of chichester is school district']
[ "the number of votes in support is often irrelevant except to prove a quorum", "the number of votes in support is often irrelevant except to prove a quorum", "the number of votes in support is often irrelevant except to prove a quorum", "the number of votes in support is often irrelevant except to prove a quorum", "the number of votes in support is often irrelevant except to prove a quorum" ]
the number of votes in support is often irrelevant except to prove a quorum
the number of votes in support is often irrelevant except to prove a quorum.
the number of votes in support is often irrelevant except to prove a quorum. the number of votes in support is often irrelevant except to prove a quorum. the number of votes in support is often irrelevant except to prove a quorum. the number of votes in support is often irrelevant except to prove a quorum.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the number of votes in support is often irrelevant except to prove a quorum', 'the number of votes in support is often irrelevant except to prove a quorum', 'the number of votes in support is often irrelevant except to prove a quorum', 'the number of votes in support is often irrelevant except to prove a quorum', 'the number of votes in support is often irrelevant except to prove a quorum']
[ "then he slipped into his coat", "then he slipped into his coat", "then he slipped into his coat", "then he slipped into his court", "then he slipped into his coat" ]
then he slipped into his coat
then he slipped into his coat.
then he slipped into his coat. then he slipped into his coat. then he slipped into his court. then he slipped into his coat.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then he slipped into his coat', 'then he slipped into his coat', 'then he slipped into his coat', 'then he slipped into his court', 'then he slipped into his coat']
[ "the remaining kept the title of governor general", "the remaining kept the title of governor general", "the remaining kept the title of governa general", "the remaining kept the title of governer general", "the remaining kept the title of governor general" ]
the remaining kept the title of governor general
the remaining kept the title of governor general.
the remaining kept the title of governor general. the remaining kept the title of governa general. the remaining kept the title of governer general. the remaining kept the title of governor general.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the remaining kept the title of governor general', 'the remaining kept the title of governor general', 'the remaining kept the title of governa general', 'the remaining kept the title of governer general', 'the remaining kept the title of governor general']
[ "still the aldmine deutsche zeitung is a thriving weekly paper", "still the altmine deutsche zeitung is a thriving weekly paper", "still the alt mine deutsche zeitung is a thriving weekly paper", "still the alt mine deutsche zaytung is a thriving weekly paper", "still the alt mine deutsche zaytung is a thriving weekly paper" ]
still the allgemeine deutsche zeitung is a thriving weekly paper
still the aldmine deutsche zeitung is a thriving weekly paper.
still the altmine deutsche zeitung is a thriving weekly paper. still the alt mine deutsche zeitung is a thriving weekly paper. still the alt mine deutsche zaytung is a thriving weekly paper. still the alt mine deutsche zaytung is a thriving weekly paper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['still the aldmine deutsche zeitung is a thriving weekly paper', 'still the altmine deutsche zeitung is a thriving weekly paper', 'still the alt mine deutsche zeitung is a thriving weekly paper', 'still the alt mine deutsche zaytung is a thriving weekly paper', 'still the alt mine deutsche zaytung is a thriving weekly paper']
[ "suppose player a fights the induction argument convincing", "suppose player a fights the induction argument convincing", "suppose player a fight the induction argument convincing", "suppose player a fights the induction argument convincingly", "suppose player a fights the induction argument convincingly" ]
suppose player a finds the induction argument convincing
suppose player a fights the induction argument convincing.
suppose player a fights the induction argument convincing. suppose player a fight the induction argument convincing. suppose player a fights the induction argument convincingly. suppose player a fights the induction argument convincingly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['suppose player a fights the induction argument convincing', 'suppose player a fights the induction argument convincing', 'suppose player a fight the induction argument convincing', 'suppose player a fights the induction argument convincingly', 'suppose player a fights the induction argument convincingly']
[ "then he found getting more difficult as his english skills were poor", "there he found getting more difficult as his english skills were poor", "then he found getting more difficult as his english skills were poor", "did he point getting more difficult as his english skills were poor", "there he found getting more difficult as his english skills were poor" ]
there he found getting work difficult as his english skills were poor
then he found getting more difficult as his english skills were poor.
there he found getting more difficult as his english skills were poor. then he found getting more difficult as his english skills were poor. did he point getting more difficult as his english skills were poor. there he found getting more difficult as his english skills were poor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then he found getting more difficult as his english skills were poor', 'there he found getting more difficult as his english skills were poor', 'then he found getting more difficult as his english skills were poor', 'did he point getting more difficult as his english skills were poor', 'there he found getting more difficult as his english skills were poor']
[ "there are also other uses for cuban national executive errors", "there are also other uses for gubernational executive errors", "there are also other uses for guber national executive errors", "there are also other uses for guber national executive arose", "there are also other uses for given national executive errors" ]
there are also other uses for gubernatorial executive orders
there are also other uses for cuban national executive errors.
there are also other uses for gubernational executive errors. there are also other uses for guber national executive errors. there are also other uses for guber national executive arose. there are also other uses for given national executive errors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are also other uses for cuban national executive errors', 'there are also other uses for gubernational executive errors', 'there are also other uses for guber national executive errors', 'there are also other uses for guber national executive arose', 'there are also other uses for given national executive errors']
[ "she remained in the far east for the next three years", "she remained in the far east for the next three years", "she remained in the far east for the next three years", "she remained in the far east for the next three years", "she remained in the far east for the next three years" ]
she remained in the far east for the next three years
she remained in the far east for the next three years.
she remained in the far east for the next three years. she remained in the far east for the next three years. she remained in the far east for the next three years. she remained in the far east for the next three years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she remained in the far east for the next three years', 'she remained in the far east for the next three years', 'she remained in the far east for the next three years', 'she remained in the far east for the next three years', 'she remained in the far east for the next three years']
[ "however studies of the issue produce conflicting results", "however studies of the issue produced conflicting results", "however studies of the issue produce conflicting results", "however studies of the issue produce conflicting results", "however studies of the issue produced conflicting results" ]
however studies of the issue produce conflicting results
however studies of the issue produce conflicting results.
however studies of the issue produced conflicting results. however studies of the issue produce conflicting results. however studies of the issue produce conflicting results. however studies of the issue produced conflicting results.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however studies of the issue produce conflicting results', 'however studies of the issue produced conflicting results', 'however studies of the issue produce conflicting results', 'however studies of the issue produce conflicting results', 'however studies of the issue produced conflicting results']
[ "a triple act high rise building is a noticeable landmark at the intersection", "a triple act high rise building is a noticeable landmark at the intersection", "a triple act high rise building is a noticeable landmark at the intersection", "a triple arc high rise building is a noticeable landmark at the intersection", "a trip will act high rise building is a noticeable landmark at the intersection" ]
a triple arched highrise building is a noticeable landmark at the intersection
a triple act high rise building is a noticeable landmark at the intersection.
a triple act high rise building is a noticeable landmark at the intersection. a triple act high rise building is a noticeable landmark at the intersection. a triple arc high rise building is a noticeable landmark at the intersection. a trip will act high rise building is a noticeable landmark at the intersection.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a triple act high rise building is a noticeable landmark at the intersection', 'a triple act high rise building is a noticeable landmark at the intersection', 'a triple act high rise building is a noticeable landmark at the intersection', 'a triple arc high rise building is a noticeable landmark at the intersection', 'a trip will act high rise building is a noticeable landmark at the intersection']
[ "icarus i is now at the smithsonian institution awaiting restoration and display", "icarus one is now at the smithsonian institution awaiting restoration and display", "icarus i is now at the smithsonian institution awaiting restoration and display", "ikeris i is now at the smithsonian institution awaiting restoration and display", "ichris i is now at the smithsonian institution awaiting restoration and display" ]
icarus i is now at the smithsonian institution awaiting restoration and display
icarus i is now at the smithsonian institution awaiting restoration and display.
icarus one is now at the smithsonian institution awaiting restoration and display. icarus i is now at the smithsonian institution awaiting restoration and display. ikeris i is now at the smithsonian institution awaiting restoration and display. ichris i is now at the smithsonian institution awaiting restoration and display.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['icarus i is now at the smithsonian institution awaiting restoration and display', 'icarus one is now at the smithsonian institution awaiting restoration and display', 'icarus i is now at the smithsonian institution awaiting restoration and display', 'ikeris i is now at the smithsonian institution awaiting restoration and display', 'ichris i is now at the smithsonian institution awaiting restoration and display']
[ "you look a little wicked now what is it granny", "you look a little wicked now what is it granny", "you look a little wicket now what is it granny", "you look a little wicked now what is it granny", "you look a little wicked now what is it granny" ]
you look a little wicked now what is it granny
you look a little wicked now what is it granny.
you look a little wicked now what is it granny. you look a little wicket now what is it granny. you look a little wicked now what is it granny. you look a little wicked now what is it granny.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you look a little wicked now what is it granny', 'you look a little wicked now what is it granny', 'you look a little wicket now what is it granny', 'you look a little wicked now what is it granny', 'you look a little wicked now what is it granny']
[ "cronwell has also represented sweden several times internationally", "cronwall has also represented sweden several times internationally", "cronwell has also represented sweden several times internationally", "cronwell has also represented sweden several times internationally", "kronwell has also represented sweden several times internationally" ]
kronwall has also represented sweden several times internationally
cronwell has also represented sweden several times internationally.
cronwall has also represented sweden several times internationally. cronwell has also represented sweden several times internationally. cronwell has also represented sweden several times internationally. kronwell has also represented sweden several times internationally.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cronwell has also represented sweden several times internationally', 'cronwall has also represented sweden several times internationally', 'cronwell has also represented sweden several times internationally', 'cronwell has also represented sweden several times internationally', 'kronwell has also represented sweden several times internationally']
[ "a primary function is inflant management of the flight plan", "a primary function is inflient management of the flight plan", "a primary function is in flight management of the flight plan", "a primary function is inflient management of the flight plan", "a primary function is inflant management of the flight plan" ]
a primary function is in flight management of the flight plan
a primary function is inflant management of the flight plan.
a primary function is inflient management of the flight plan. a primary function is in flight management of the flight plan. a primary function is inflient management of the flight plan. a primary function is inflant management of the flight plan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a primary function is inflant management of the flight plan', 'a primary function is inflient management of the flight plan', 'a primary function is in flight management of the flight plan', 'a primary function is inflient management of the flight plan', 'a primary function is inflant management of the flight plan']
[ "cosby is songs were also included in the bing is hollywood series", "cosby songs were also included in the bing is hollywood series", "cosby songs were also included in the bing hollywood series", "cosby is songs were also included in the bing hollywood series", "cosby is songs were also included in the bing hollywood series" ]
crosby is songs were also included in the bing is hollywood series
cosby is songs were also included in the bing is hollywood series.
cosby songs were also included in the bing is hollywood series. cosby songs were also included in the bing hollywood series. cosby is songs were also included in the bing hollywood series. cosby is songs were also included in the bing hollywood series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cosby is songs were also included in the bing is hollywood series', 'cosby songs were also included in the bing is hollywood series', 'cosby songs were also included in the bing hollywood series', 'cosby is songs were also included in the bing hollywood series', 'cosby is songs were also included in the bing hollywood series']
[ "recordings from the tour emerged as the semi boot leg on strike", "recording from the tour emerged as the semi boot leg on strike", "recordings from the tour emerged as the semi boot leg on strike", "recordings from the tour emerged as the semi boot leg on strike", "recordings from the tour emerged as the semi boot like on strike" ]
recordings from the tour emerged as the semi bootleg on strike
recordings from the tour emerged as the semi boot leg on strike.
recording from the tour emerged as the semi boot leg on strike. recordings from the tour emerged as the semi boot leg on strike. recordings from the tour emerged as the semi boot leg on strike. recordings from the tour emerged as the semi boot like on strike.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['recordings from the tour emerged as the semi boot leg on strike', 'recording from the tour emerged as the semi boot leg on strike', 'recordings from the tour emerged as the semi boot leg on strike', 'recordings from the tour emerged as the semi boot leg on strike', 'recordings from the tour emerged as the semi boot like on strike']
[ "he was placed on the disabled list the following day", "he was placed on the disabled list the following day", "he was placed on the disabled list the following day", "he was placed on the disabled list the following day", "he was placed on the disabled list the following day" ]
he was placed on the disabled list the following day
he was placed on the disabled list the following day.
he was placed on the disabled list the following day. he was placed on the disabled list the following day. he was placed on the disabled list the following day. he was placed on the disabled list the following day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was placed on the disabled list the following day', 'he was placed on the disabled list the following day', 'he was placed on the disabled list the following day', 'he was placed on the disabled list the following day', 'he was placed on the disabled list the following day']
[ "he received one and studied it intensively", "he has received one and studied it intensively", "he deceived one and studied it intensively", "he received one and studied it intensively", "he is saved one and studied it intensively" ]
he received one and studied it intensively
he received one and studied it intensively.
he has received one and studied it intensively. he deceived one and studied it intensively. he received one and studied it intensively. he is saved one and studied it intensively.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he received one and studied it intensively', 'he has received one and studied it intensively', 'he deceived one and studied it intensively', 'he received one and studied it intensively', 'he is saved one and studied it intensively']
[ "they guided it through financial reverses and rebuilt the team from there", "they guided it through financial reverses and rebuilt the team from there", "they guided it through financial reverses and rebuilt the team from there", "they guided it through financial reverses and rebuilt the team from there", "they guided it through financial reverses and rebuilt the team from there" ]
they guided it through financial reverses and rebuilt the team from there
they guided it through financial reverses and rebuilt the team from there.
they guided it through financial reverses and rebuilt the team from there. they guided it through financial reverses and rebuilt the team from there. they guided it through financial reverses and rebuilt the team from there. they guided it through financial reverses and rebuilt the team from there.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they guided it through financial reverses and rebuilt the team from there', 'they guided it through financial reverses and rebuilt the team from there', 'they guided it through financial reverses and rebuilt the team from there', 'they guided it through financial reverses and rebuilt the team from there', 'they guided it through financial reverses and rebuilt the team from there']
[ "he also played on george benson is give me the night", "he also played on george benson is give me the night", "he also play on george benson is give me the night", "he also played on george benson is give me the night", "he also played on george benson is give me the night" ]
he also played on george benson is give me the night
he also played on george benson is give me the night.
he also played on george benson is give me the night. he also play on george benson is give me the night. he also played on george benson is give me the night. he also played on george benson is give me the night.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also played on george benson is give me the night', 'he also played on george benson is give me the night', 'he also play on george benson is give me the night', 'he also played on george benson is give me the night', 'he also played on george benson is give me the night']
[ "in contrast hard zoning restricts actual communication across a fabric", "in contrast hard zoning restricts actual communication across the fabric", "in contrast hard zoning restricts actual communication across a fabric", "in contrast hard zoning illustrates actual communication across a fabric", "in contrast hard zoning respects actual communication across a fabric" ]
in contrast hard zoning restricts actual communication across a fabric
in contrast hard zoning restricts actual communication across a fabric.
in contrast hard zoning restricts actual communication across the fabric. in contrast hard zoning restricts actual communication across a fabric. in contrast hard zoning illustrates actual communication across a fabric. in contrast hard zoning respects actual communication across a fabric.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in contrast hard zoning restricts actual communication across a fabric', 'in contrast hard zoning restricts actual communication across the fabric', 'in contrast hard zoning restricts actual communication across a fabric', 'in contrast hard zoning illustrates actual communication across a fabric', 'in contrast hard zoning respects actual communication across a fabric']
[ "he was a member of the associate", "he was a member of the associate", "he was the member of the associate", "he was a member of the south sea", "he was a member of the sozi" ]
he was a member of the sault ste
he was a member of the associate.
he was a member of the associate. he was the member of the associate. he was a member of the south sea. he was a member of the sozi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was a member of the associate', 'he was a member of the associate', 'he was the member of the associate', 'he was a member of the south sea', 'he was a member of the sozi']
[ "it is whiskers called vibrisai lie in horizontal rows on either side of its knot", "it is viscars called vibrisai lie in horizontal rows on either side of its knot", "it is viscous called vibrisai lie in horizontal rows on either side of its knot", "it is viscars called vibricy lie in horizontal rows on either side of its knot", "it is viscars called vibrisai lie in horizontal rows on either side of its knot" ]
its whiskers called vibrissae lie in horizontal rows on either side of its snout
it is whiskers called vibrisai lie in horizontal rows on either side of its knot.
it is viscars called vibrisai lie in horizontal rows on either side of its knot. it is viscous called vibrisai lie in horizontal rows on either side of its knot. it is viscars called vibricy lie in horizontal rows on either side of its knot. it is viscars called vibrisai lie in horizontal rows on either side of its knot.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is whiskers called vibrisai lie in horizontal rows on either side of its knot', 'it is viscars called vibrisai lie in horizontal rows on either side of its knot', 'it is viscous called vibrisai lie in horizontal rows on either side of its knot', 'it is viscars called vibricy lie in horizontal rows on either side of its knot', 'it is viscars called vibrisai lie in horizontal rows on either side of its knot']
[ "joe is left the university of toronto to become a full time homemaker", "joe is left the unim city of toronto to become a full time homemaker", "joe is left the university of toronto to become a full time homemaker", "jo is left the university of toronto to become a full time homemaker", "jo is left the unim city of toronto to become a full time homemaker" ]
joyce left the university of toronto to become a full time home maker
joe is left the university of toronto to become a full time homemaker.
joe is left the unim city of toronto to become a full time homemaker. joe is left the university of toronto to become a full time homemaker. jo is left the university of toronto to become a full time homemaker. jo is left the unim city of toronto to become a full time homemaker.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['joe is left the university of toronto to become a full time homemaker', 'joe is left the unim city of toronto to become a full time homemaker', 'joe is left the university of toronto to become a full time homemaker', 'jo is left the university of toronto to become a full time homemaker', 'jo is left the unim city of toronto to become a full time homemaker']
[ "he also wanted to reduce west germany is economic dependence on the exports", "he also wanted to reduce west germany is economic dependents on the exports", "he also wanted to reduce west germany is economic dependents on the exports", "he also wanted to reduce west germany is economic dependents on the exports", "he also wanted to reduce west germany is economic dependents on the exports" ]
he also wanted to reduce west germany is economic dependence on the exports
he also wanted to reduce west germany is economic dependence on the exports.
he also wanted to reduce west germany is economic dependents on the exports. he also wanted to reduce west germany is economic dependents on the exports. he also wanted to reduce west germany is economic dependents on the exports. he also wanted to reduce west germany is economic dependents on the exports.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also wanted to reduce west germany is economic dependence on the exports', 'he also wanted to reduce west germany is economic dependents on the exports', 'he also wanted to reduce west germany is economic dependents on the exports', 'he also wanted to reduce west germany is economic dependents on the exports', 'he also wanted to reduce west germany is economic dependents on the exports']
[ "scorsor this will can spread rapidly", "scorsor this you can scrape carefully", "scorsor this you can scrape privately", "scroll to this view can spread rapidly", "scorching this will can spread rapidly" ]
scotch thistle can spread rapidly
scorsor this will can spread rapidly.
scorsor this you can scrape carefully. scorsor this you can scrape privately. scroll to this view can spread rapidly. scorching this will can spread rapidly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['scorsor this will can spread rapidly', 'scorsor this you can scrape carefully', 'scorsor this you can scrape privately', 'scroll to this view can spread rapidly', 'scorching this will can spread rapidly']
[ "it usually precedes a recorded announcement describing the problem", "it is usually precedes a recorded announcement describing the problem", "it is usually precedes a recorded announcement describing the problem", "it usually precedes a recorded announcement describing the problem", "it is usually precedes a recorded announcement describing the problem" ]
it usually precedes a recorded announcement describing the problem
it usually precedes a recorded announcement describing the problem.
it is usually precedes a recorded announcement describing the problem. it is usually precedes a recorded announcement describing the problem. it usually precedes a recorded announcement describing the problem. it is usually precedes a recorded announcement describing the problem.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it usually precedes a recorded announcement describing the problem', 'it is usually precedes a recorded announcement describing the problem', 'it is usually precedes a recorded announcement describing the problem', 'it usually precedes a recorded announcement describing the problem', 'it is usually precedes a recorded announcement describing the problem']
[ "a man in a gray shirt is yawning", "a man in a gray shirt is yearning", "a man in a great shirt is yawning", "a man in a gray shirt is your name", "a man in a gray shirt is yawning" ]
a man in a gray shirt is yawning
a man in a gray shirt is yawning.
a man in a gray shirt is yearning. a man in a great shirt is yawning. a man in a gray shirt is your name. a man in a gray shirt is yawning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man in a gray shirt is yawning', 'a man in a gray shirt is yearning', 'a man in a great shirt is yawning', 'a man in a gray shirt is your name', 'a man in a gray shirt is yawning']
[ "sargentin was in the end of court restricted to sargentin is at law", "surgeon tim was in the end of court restricted to sagents at law", "surgenton was in the end of court restricted to surgents at law", "surgenton was in the end of court restricted to surgenton is law", "surgeon tim was in the end of court restricted decisions at law" ]
serjeant is inn was an inn of court restricted to serjeants at law
sargentin was in the end of court restricted to sargentin is at law.
surgeon tim was in the end of court restricted to sagents at law. surgenton was in the end of court restricted to surgents at law. surgenton was in the end of court restricted to surgenton is law. surgeon tim was in the end of court restricted decisions at law.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sargentin was in the end of court restricted to sargentin is at law', 'surgeon tim was in the end of court restricted to sagents at law', 'surgenton was in the end of court restricted to surgents at law', 'surgenton was in the end of court restricted to surgenton is law', 'surgeon tim was in the end of court restricted decisions at law']
[ "pan africanism is aimed at the economic intellectual and political cooperation of the african countries", "pan africanism is aimed at the economic intellectual and political cooperation of the african countries", "pan africanism is aimed at the economic intellectual and political cooperation of the african countries", "pan africanism is aimed at the economic intellectual and political cooperation of the african countries", "pan africanism is aimed at the economic intellectual and political cooperation of the african countries" ]
pan africanism is aimed at the economic intellectual and political cooperation of the african countries
pan africanism is aimed at the economic intellectual and political cooperation of the african countries.
pan africanism is aimed at the economic intellectual and political cooperation of the african countries. pan africanism is aimed at the economic intellectual and political cooperation of the african countries. pan africanism is aimed at the economic intellectual and political cooperation of the african countries. pan africanism is aimed at the economic intellectual and political cooperation of the african countries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pan africanism is aimed at the economic intellectual and political cooperation of the african countries', 'pan africanism is aimed at the economic intellectual and political cooperation of the african countries', 'pan africanism is aimed at the economic intellectual and political cooperation of the african countries', 'pan africanism is aimed at the economic intellectual and political cooperation of the african countries', 'pan africanism is aimed at the economic intellectual and political cooperation of the african countries']
[ "christian sin fortress was built after his plans", "christensen fortress was built after his plans", "christianson fortress was built after his plans", "christians in fortress was built after his plans", "christian sun fortress was built after his plans" ]
kristiansten fortress was built after his plans
christian sin fortress was built after his plans.
christensen fortress was built after his plans. christianson fortress was built after his plans. christians in fortress was built after his plans. christian sun fortress was built after his plans.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['christian sin fortress was built after his plans', 'christensen fortress was built after his plans', 'christianson fortress was built after his plans', 'christians in fortress was built after his plans', 'christian sun fortress was built after his plans']
[ "to the south of the village hidden by houses and shrubs is saint british well", "to the south of the village hidden by houses and shrubs is saint britswell", "to the south of the village hidden by houses and shrubs is saint brithett is well", "to the south of the village hidden by houses and shrubs is saint britid is well", "to the south of the village hidden by houses and shrubs is saint brittleswell" ]
to the south of the village hidden by houses and shrubs is saint bridits well
to the south of the village hidden by houses and shrubs is saint british well.
to the south of the village hidden by houses and shrubs is saint britswell. to the south of the village hidden by houses and shrubs is saint brithett is well. to the south of the village hidden by houses and shrubs is saint britid is well. to the south of the village hidden by houses and shrubs is saint brittleswell.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['to the south of the village hidden by houses and shrubs is saint british well', 'to the south of the village hidden by houses and shrubs is saint britswell', 'to the south of the village hidden by houses and shrubs is saint brithett is well', 'to the south of the village hidden by houses and shrubs is saint britid is well', 'to the south of the village hidden by houses and shrubs is saint brittleswell']
[ "most species have compound leaves", "most species have compound leaves", "most species have compound leafs", "most species have compound leaves", "most species have compound leafs" ]
most species have compound leaves
most species have compound leaves.
most species have compound leaves. most species have compound leafs. most species have compound leaves. most species have compound leafs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most species have compound leaves', 'most species have compound leaves', 'most species have compound leafs', 'most species have compound leaves', 'most species have compound leafs']