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[ "white is father was paralyzed in the car accident when she was free", "white is father was paralyzed in the car accident when she was free", "white is father was paralyzed in a car accident when she was free", "white is father was paralyzed in a car accident when she was free", "was paralyzed in the car ac...
white is father was paralyzed in a car accident when she was three
white is father was paralyzed in the car accident when she was free.
white is father was paralyzed in the car accident when she was free. white is father was paralyzed in a car accident when she was free. white is father was paralyzed in a car accident when she was free. was paralyzed in the car accident when she was free.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['white is father was paralyzed in the car accident when she was free', 'white is father was paralyzed in the car accident when she was free', 'white is father was paralyzed in a car accident when she was free',...
[ "for one day he had loved her utterly", "for one day he had loved her utterly", "for one day he had loved her utterly", "for one day he had loved her utterly", "for one day he had loved her utterly" ]
for one day he had loved her utterly
for one day he had loved her utterly.
for one day he had loved her utterly. for one day he had loved her utterly. for one day he had loved her utterly. for one day he had loved her utterly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for one day he had loved her utterly', 'for one day he had loved her utterly', 'for one day he had loved her utterly', 'for one day he had loved her utterly', 'for one day he had loved her utterly']
[ "benoist was commissioned into the british army as a captain", "benowist was commissioned into the british army as a captain", "bennoist was commissioned into the british army as a captain", "benoist was commissioned into the british army as a captain", "benowist was commissioned into the british army as a ...
benoist was commissioned into the british army as a captain
benoist was commissioned into the british army as a captain.
benowist was commissioned into the british army as a captain. bennoist was commissioned into the british army as a captain. benoist was commissioned into the british army as a captain. benowist was commissioned into the british army as a captain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['benoist was commissioned into the british army as a captain', 'benowist was commissioned into the british army as a captain', 'bennoist was commissioned into the british army as a captain', 'benoist was commis...
[ "her father is feelings were quite distinct", "her father is feelings were quite distinct", "her father is feelings were quite distinct", "her father is feelings were quite distinct", "her father is feelings were quite distinct" ]
her father is feelings were quite distinct
her father is feelings were quite distinct.
her father is feelings were quite distinct. her father is feelings were quite distinct. her father is feelings were quite distinct. her father is feelings were quite distinct.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her father is feelings were quite distinct', 'her father is feelings were quite distinct', 'her father is feelings were quite distinct', 'her father is feelings were quite distinct', 'her father is feelings we...
[ "liverpool therefore became the last of a turn to be permanently awarded the trophy", "liverpool therefore became the last of a turn to be permanently awarded the trophy", "liverpool therefore began the last of a turn to be permanently awarded the trophy", "liverpool therefore began the last of a turn to be p...
liverpool therefore became the last ever team to be permanently awarded the trophy
liverpool therefore became the last of a turn to be permanently awarded the trophy.
liverpool therefore became the last of a turn to be permanently awarded the trophy. liverpool therefore began the last of a turn to be permanently awarded the trophy. liverpool therefore began the last of a turn to be permanently awarded the trophy. liverpool therefore began the last of a turn to be permanently awarded...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['liverpool therefore became the last of a turn to be permanently awarded the trophy', 'liverpool therefore became the last of a turn to be permanently awarded the trophy', 'liverpool therefore began the last of...
[ "tom listen was born in blightville arkansas", "tom leeson was born in blightville arkansas", "tom lisen was born in blightville arkansas", "tom lisson was born in blightville arkansas", "tom lison was born in blightville arkansas" ]
tomlinson was born in blytheville arkansas
tom listen was born in blightville arkansas.
tom leeson was born in blightville arkansas. tom lisen was born in blightville arkansas. tom lisson was born in blightville arkansas. tom lison was born in blightville arkansas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tom listen was born in blightville arkansas', 'tom leeson was born in blightville arkansas', 'tom lisen was born in blightville arkansas', 'tom lisson was born in blightville arkansas', 'tom lison was born in ...
[ "the only other surviving monastic building is the gate house which faces the village square", "the only other surviving monastic building is the gatehouse which faces the village square", "the only other surviving monastic building is the gate house which faces the village square", "the only other surviving ...
the only other surviving monastic building is the gatehouse which faces the village square
the only other surviving monastic building is the gate house which faces the village square.
the only other surviving monastic building is the gatehouse which faces the village square. the only other surviving monastic building is the gate house which faces the village square. the only other surviving monastic building is the gate house which phases the village square. the only other surviving monastic buildin...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the only other surviving monastic building is the gate house which faces the village square', 'the only other surviving monastic building is the gatehouse which faces the village square', 'the only other survi...
[ "hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over tarantasa in his place", "hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over twenty thousand in his place", "hato sili renamed erhita shops sibling umi tarshak karanta and appointed karanta ...
hattusili renamed urhi teshup is sibling ulmi teshup kurunta and appointed kurunta over tarhuntassa in his place
hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over tarantasa in his place.
hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over twenty thousand in his place. hato sili renamed erhita shops sibling umi tarshak karanta and appointed karanta over tarantasa in his place. hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over tauntasa...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over tarantasa in his place', 'hato sili renamed arhita shops sibling umi tarshak karanta and appointed karanta over twenty thou...
[ "leechberg walski is the largest town on the well", "lichberg walski is the largest town on the well", "leechberg walski is the largest town on the well", "lichburg walski is the largest town on the well", "leachburg walski is the largest town on the well" ]
lidzbark welski is the largest town on the wel
leechberg walski is the largest town on the well.
lichberg walski is the largest town on the well. leechberg walski is the largest town on the well. lichburg walski is the largest town on the well. leachburg walski is the largest town on the well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['leechberg walski is the largest town on the well', 'lichberg walski is the largest town on the well', 'leechberg walski is the largest town on the well', 'lichburg walski is the largest town on the well', 'lea...
[ "he is an advisor at melissa co", "he is an advisor at melissa company", "he is an advisor at melissa and company", "he is an advisor at melissa co", "he is an advisor at melissa company" ]
he is an advisor at moelis and company
he is an advisor at melissa co.
he is an advisor at melissa company. he is an advisor at melissa and company. he is an advisor at melissa co. he is an advisor at melissa company.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is an advisor at melissa co', 'he is an advisor at melissa company', 'he is an advisor at melissa and company', 'he is an advisor at melissa co', 'he is an advisor at melissa company']
[ "during the middle ages virgo sometimes was associated with the blessed virgin mary", "during the middle ages virgo sometimes was associated with the blessed virgin mary", "during the middle ages fargo sometimes was associated with the blessed virgin mary", "during the middle ages fargo sometimes was associat...
during the middle ages virgo sometimes was associated with the blessed virgin mary
during the middle ages virgo sometimes was associated with the blessed virgin mary.
during the middle ages virgo sometimes was associated with the blessed virgin mary. during the middle ages fargo sometimes was associated with the blessed virgin mary. during the middle ages fargo sometimes was associated with the blessed virgin mary. during the middle ages fargo sometimes was associated with the bless...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during the middle ages virgo sometimes was associated with the blessed virgin mary', 'during the middle ages virgo sometimes was associated with the blessed virgin mary', 'during the middle ages fargo sometime...
[ "it was around that time that he also bought either grove in buckinghamshire", "it was around that time that he also bought ivogrove in buckinghamshire", "it was around that time that he also bought ivo grove in buckinghamshire", "it was around that time that he also board either grove in buckinghamshire", ...
it was around that time that he also bought iver grove in buckinghamshire
it was around that time that he also bought either grove in buckinghamshire.
it was around that time that he also bought ivogrove in buckinghamshire. it was around that time that he also bought ivo grove in buckinghamshire. it was around that time that he also board either grove in buckinghamshire. it was around that time that he also bought either grove in buckinghamshire.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was around that time that he also bought either grove in buckinghamshire', 'it was around that time that he also bought ivogrove in buckinghamshire', 'it was around that time that he also bought ivo grove i...
[ "under the no teleportation theorem a quantum state cannot be precisely converted into classical bits", "under the note teleportation theorem a quantum state cannot be precisely converted into classical bits", "under the no teleportation theorem a quantum state cannot be precisely converted into classical bits"...
under the no teleportation theorem a quantum state cannot be precisely converted into classical bits
under the no teleportation theorem a quantum state cannot be precisely converted into classical bits.
under the note teleportation theorem a quantum state cannot be precisely converted into classical bits. under the no teleportation theorem a quantum state cannot be precisely converted into classical bits. under the no teleportation theorem a quantum state cannot be precisely converted into classical bits. under the no...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['under the no teleportation theorem a quantum state cannot be precisely converted into classical bits', 'under the note teleportation theorem a quantum state cannot be precisely converted into classical bits', ...
[ "it is claimed by plama brook and the ksar river", "it is claimed by plama brook and the kzr river", "it is claimed by plama brooke and the ksar river", "it is claimed by plama brook and the kzr river", "it is claimed by plama brooke and the kzr river" ]
it is drained by plummer brook and the kezar river
it is claimed by plama brook and the ksar river.
it is claimed by plama brook and the kzr river. it is claimed by plama brooke and the ksar river. it is claimed by plama brook and the kzr river. it is claimed by plama brooke and the kzr river.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is claimed by plama brook and the ksar river', 'it is claimed by plama brook and the kzr river', 'it is claimed by plama brooke and the ksar river', 'it is claimed by plama brook and the kzr river', 'it is ...
[ "the current course director is gregory badslayer", "the current course director is grigory bad slayer", "the current course director is gregory bad slayer", "the current course director is grigoried bad slayer", "the current course director is grigoriy bad slayer" ]
the current chorus director is gregory batsleer
the current course director is gregory badslayer.
the current course director is grigory bad slayer. the current course director is gregory bad slayer. the current course director is grigoried bad slayer. the current course director is grigoriy bad slayer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the current course director is gregory badslayer', 'the current course director is grigory bad slayer', 'the current course director is gregory bad slayer', 'the current course director is grigoried bad slayer...
[ "nance bowling appears", "nance rowling appears", "nance boring appears", "nance royal appears", "nance roaring appears" ]
lance morrill appears
nance bowling appears.
nance rowling appears. nance boring appears. nance royal appears. nance roaring appears.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nance bowling appears', 'nance rowling appears', 'nance boring appears', 'nance royal appears', 'nance roaring appears']
[ "the park center at the loop and a pound is accessible by a sealed road from hawker", "the back center at the loop and a pound is accessible by a sealed road from hawker", "the back center at the loop and a pound is accessible by a sealed rod from hawker", "the park center at the loop and a pound is accessibl...
the park center at wilpena pound is accessible by sealed road from hawker
the park center at the loop and a pound is accessible by a sealed road from hawker.
the back center at the loop and a pound is accessible by a sealed road from hawker. the back center at the loop and a pound is accessible by a sealed rod from hawker. the park center at the loop and a pound is accessible by a sealed road from hawker. the back center at the loop and a pound is accessible by sealed road ...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the park center at the loop and a pound is accessible by a sealed road from hawker', 'the back center at the loop and a pound is accessible by a sealed road from hawker', 'the back center at the loop and a pou...
[ "auckland gets much of its water from reservoirs within the honomaranges", "auckland gets much of its water from reservoirs within the khunua ranges", "auckland gets much of its water from reservoirs within the khunua ranges", "auckland gets much of its water from reservoirs within the hanoa ranges", "auckl...
auckland gets much of its water from reservoirs within the hunua ranges
auckland gets much of its water from reservoirs within the honomaranges.
auckland gets much of its water from reservoirs within the khunua ranges. auckland gets much of its water from reservoirs within the khunua ranges. auckland gets much of its water from reservoirs within the hanoa ranges. auckland gets much of its water from reservoirs within the hanoa ranges.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['auckland gets much of its water from reservoirs within the honomaranges', 'auckland gets much of its water from reservoirs within the khunua ranges', 'auckland gets much of its water from reservoirs within the...
[ "he was the twin brother of historian hans momsen", "he was the twin brother of historian hans momsen", "he versed the twin brother of historian hans momsen", "he was the twin brother of historian hans monson", "he was the twin brother of historian hans momsen" ]
he was the twin brother of historian hans mommsen
he was the twin brother of historian hans momsen.
he was the twin brother of historian hans momsen. he versed the twin brother of historian hans momsen. he was the twin brother of historian hans monson. he was the twin brother of historian hans momsen.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was the twin brother of historian hans momsen', 'he was the twin brother of historian hans momsen', 'he versed the twin brother of historian hans momsen', 'he was the twin brother of historian hans monson',...
[ "the ticket profits go to the home team", "the ticket profits go to the home team", "the ticket profits go to the home team", "the ticket profits go to the home team", "the ticket profits go to the home team" ]
the ticket profits go to the home team
the ticket profits go to the home team.
the ticket profits go to the home team. the ticket profits go to the home team. the ticket profits go to the home team. the ticket profits go to the home team.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ticket profits go to the home team', 'the ticket profits go to the home team', 'the ticket profits go to the home team', 'the ticket profits go to the home team', 'the ticket profits go to the home team']
[ "most of burner is work is through a base ranging from simple still life is complex nerds", "most of burner is work is through your base ranging from simple still life is complex nerds", "most of bernard is work is through a base ranging from simple still life is complex nerds", "most of bernhard is work is t...
most of bernhard is work is studio based ranging from simple still lifes to complex nudes
most of burner is work is through a base ranging from simple still life is complex nerds.
most of burner is work is through your base ranging from simple still life is complex nerds. most of bernard is work is through a base ranging from simple still life is complex nerds. most of bernhard is work is through a base ranging from simple still life is complex nerds. most of bunherds work is through a base rang...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of burner is work is through a base ranging from simple still life is complex nerds', 'most of burner is work is through your base ranging from simple still life is complex nerds', 'most of bernard is wor...
[ "she gradually regained muscle function but remained paralyzed below the knee", "she gradually regained muscle function but remained paralyzed below the knee", "she gradually regained muscle function but remained paralyzed below the knee", "she gradually regained muscle function but remained paralyzed below t...
she gradually regained muscle function but remained paralyzed below the knee
she gradually regained muscle function but remained paralyzed below the knee.
she gradually regained muscle function but remained paralyzed below the knee. she gradually regained muscle function but remained paralyzed below the knee. she gradually regained muscle function but remained paralyzed below the knee. she gradually regained muscle function but remained paralyzed below the knee.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she gradually regained muscle function but remained paralyzed below the knee', 'she gradually regained muscle function but remained paralyzed below the knee', 'she gradually regained muscle function but remain...
[ "relston park hosts the town is christmas tree and yearly lighting celebration", "relston park hosts the town is christmas tree and yearly lighting celebration", "relston park hosts the town is christmas tree and yearly lighting celebration", "relston park hosts the town is christmas tree and yearly lighting ...
ralston park hosts the town is christmas tree and yearly lighting celebration
relston park hosts the town is christmas tree and yearly lighting celebration.
relston park hosts the town is christmas tree and yearly lighting celebration. relston park hosts the town is christmas tree and yearly lighting celebration. relston park hosts the town is christmas tree and yearly lighting celebration. rellston park hosts the town is christmas tree and yearly lighting celebration.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['relston park hosts the town is christmas tree and yearly lighting celebration', 'relston park hosts the town is christmas tree and yearly lighting celebration', 'relston park hosts the town is christmas tree a...
[ "highland and francesco soon switched to a form of shuffle tracking called ace sequency", "highland and francesco soon switched to a form of shuffle tracking called ace sequency", "highland and francesco soon switched to a form of shuffle tracking called ace sequencing", "highland and franchesco soon switched...
hyland and francesco soon switched to a form of shuffle tracking called ace sequencing
highland and francesco soon switched to a form of shuffle tracking called ace sequency.
highland and francesco soon switched to a form of shuffle tracking called ace sequency. highland and francesco soon switched to a form of shuffle tracking called ace sequencing. highland and franchesco soon switched to a form of shuffle tracking called ace sequency. highland and franchesco soon switched to a form of sh...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['highland and francesco soon switched to a form of shuffle tracking called ace sequency', 'highland and francesco soon switched to a form of shuffle tracking called ace sequency', 'highland and francesco soon s...
[ "in appearance they may resemble miniature carp and sometimes brightly colored or patterned", "in appearance they may resemble miniature carp and sometimes brightly colored or patterned", "in appearance they may resemble miniature carp and sometimes brightly colored or patterned", "in appearance they may rese...
in appearance they may resemble miniature carp and are sometimes brightly colored or patterned
in appearance they may resemble miniature carp and sometimes brightly colored or patterned.
in appearance they may resemble miniature carp and sometimes brightly colored or patterned. in appearance they may resemble miniature carp and sometimes brightly colored or patterned. in appearance they may resemble miniature carp and sometimes brightly colored or patterned. in appearance they may resemble miniature ca...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in appearance they may resemble miniature carp and sometimes brightly colored or patterned', 'in appearance they may resemble miniature carp and sometimes brightly colored or patterned', 'in appearance they ma...
[ "dave also has a doctor from a previous girlfriend", "def also has a doctor from a previous girlfriend", "deaf also has a doctor from a previous girlfriend", "dave also has a daughter from a previous girlfriend", "diff also has a doctor from a previous girlfriend" ]
dif also has a daughter from a previous girlfriend
dave also has a doctor from a previous girlfriend.
def also has a doctor from a previous girlfriend. deaf also has a doctor from a previous girlfriend. dave also has a daughter from a previous girlfriend. diff also has a doctor from a previous girlfriend.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dave also has a doctor from a previous girlfriend', 'def also has a doctor from a previous girlfriend', 'deaf also has a doctor from a previous girlfriend', 'dave also has a daughter from a previous girlfriend...
[ "and shen teng gao airport is southwest of the city center", "anchen tengau airport is southwest of the city center", "anchen tengau airport is southwest of the city center", "and shen teng gao airport is southwest of the city center", "ancient tengau airport is southwest of the city center" ]
anshan teng ao airport is south west of the city center
and shen teng gao airport is southwest of the city center.
anchen tengau airport is southwest of the city center. anchen tengau airport is southwest of the city center. and shen teng gao airport is southwest of the city center. ancient tengau airport is southwest of the city center.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and shen teng gao airport is southwest of the city center', 'anchen tengau airport is southwest of the city center', 'anchen tengau airport is southwest of the city center', 'and shen teng gao airport is south...
[ "when implemented reforms of industrial strategy and reorganize the industrial development agency", "when implemented reforms of industrial strategy and reorganize the industrial development agency", "when implemented reforms of industrial strategy and reorganize the industrial development agency", "when impl...
quinn implemented reform of industrial strategy and reorganized the industrial development agencies
when implemented reforms of industrial strategy and reorganize the industrial development agency.
when implemented reforms of industrial strategy and reorganize the industrial development agency. when implemented reforms of industrial strategy and reorganize the industrial development agency. when implemented reforms of industrial strategy and reorganize the industrial development agency. when implemented reforms o...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when implemented reforms of industrial strategy and reorganize the industrial development agency', 'when implemented reforms of industrial strategy and reorganize the industrial development agency', 'when impl...
[ "they drew hastings united in the second round", "they drew hastings united in the second round", "they drew hastings united in the second round", "they drew hastings united in the twond round", "they drew hastings united in the second round" ]
they drew hastings united in the second round
they drew hastings united in the second round.
they drew hastings united in the second round. they drew hastings united in the second round. they drew hastings united in the twond round. they drew hastings united in the second round.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they drew hastings united in the second round', 'they drew hastings united in the second round', 'they drew hastings united in the second round', 'they drew hastings united in the twond round', 'they drew hast...
[ "lieutenant ran normal of colorado police department said normally we would date", "lieutenant ran normal of colorado police department said normally we would go", "lieutenant ran novel of colorado police department said normally we would date", "lieutenant ran novel of colorado police department said normall...
lieutenant ron noble of the corvallis police department said normally we would wait
lieutenant ran normal of colorado police department said normally we would date.
lieutenant ran normal of colorado police department said normally we would go. lieutenant ran novel of colorado police department said normally we would date. lieutenant ran novel of colorado police department said normally we would go. lieutenant ran noble of colorado police department said normally we would date.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lieutenant ran normal of colorado police department said normally we would date', 'lieutenant ran normal of colorado police department said normally we would go', 'lieutenant ran novel of colorado police depar...
[ "the community is named after danvers massachusetts", "the community is named after dan verves massachusetts", "the community is named after dan verkes massachusetts", "the community is named after dan verbs massachusetts", "the community is named after danvers massachusetts" ]
the community is named after danvers massachusetts
the community is named after danvers massachusetts.
the community is named after dan verves massachusetts. the community is named after dan verkes massachusetts. the community is named after dan verbs massachusetts. the community is named after danvers massachusetts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the community is named after danvers massachusetts', 'the community is named after dan verves massachusetts', 'the community is named after dan verkes massachusetts', 'the community is named after dan verbs ma...
[ "detekone is a division of dusheteliko", "did they call me the division of dushet el iko", "diteko is a division of dusheteliko", "did they call me the division of dusheteliko", "detekorn is a division of dusheteliko" ]
detecon is a division of deutsche telekom
detekone is a division of dusheteliko.
did they call me the division of dushet el iko. diteko is a division of dusheteliko. did they call me the division of dusheteliko. detekorn is a division of dusheteliko.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['detekone is a division of dusheteliko', 'did they call me the division of dushet el iko', 'diteko is a division of dusheteliko', 'did they call me the division of dusheteliko', 'detekorn is a division of dushe...
[ "instead it is relic", "instead it is relic", "instead it is relic", "instead it is relic", "instead it is relic" ]
instead it is a relic
instead it is relic.
instead it is relic. instead it is relic. instead it is relic. instead it is relic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['instead it is relic', 'instead it is relic', 'instead it is relic', 'instead it is relic', 'instead it is relic']
[ "a more detailed comparison of streaming media systems is also available", "a more detailed comparison of streaming media systems is also available", "a more detailed comparison of streaming media systems is also available", "a more detailed comparison of streaming media systems is also available", "a more ...
a more detailed comparison of streaming media systems is also available
a more detailed comparison of streaming media systems is also available.
a more detailed comparison of streaming media systems is also available. a more detailed comparison of streaming media systems is also available. a more detailed comparison of streaming media systems is also available. a more detailed comparison of streaming media systems is also available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a more detailed comparison of streaming media systems is also available', 'a more detailed comparison of streaming media systems is also available', 'a more detailed comparison of streaming media systems is al...
[ "weeks never allowed his boxer to be the victim of a mismatch", "weeks never allowed his boxer to be the victim of a mismatch", "weeks never allowed his boxer to be the victim of a mismatch", "weeks never allowed his boxer to be the victim of a mismatch", "weeks never allowed his boxer to be the victim of a...
wicks never allowed his boxer to be the victim of a mis match
weeks never allowed his boxer to be the victim of a mismatch.
weeks never allowed his boxer to be the victim of a mismatch. weeks never allowed his boxer to be the victim of a mismatch. weeks never allowed his boxer to be the victim of a mismatch. weeks never allowed his boxer to be the victim of a mismatch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['weeks never allowed his boxer to be the victim of a mismatch', 'weeks never allowed his boxer to be the victim of a mismatch', 'weeks never allowed his boxer to be the victim of a mismatch', 'weeks never allow...
[ "boys at a party drawing on their friends back with a black marker", "boys at a party drawing on their friend is back with a black marker", "boys at a party drawing on their friends back with a black marker", "boys at a party drawing on their friends back with a black marker", "boys at a party drawing on th...
boys at a party drawing on their friend is back with a black marker
boys at a party drawing on their friends back with a black marker.
boys at a party drawing on their friend is back with a black marker. boys at a party drawing on their friends back with a black marker. boys at a party drawing on their friends back with a black marker. boys at a party drawing on their friend is back with a black marker.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['boys at a party drawing on their friends back with a black marker', 'boys at a party drawing on their friend is back with a black marker', 'boys at a party drawing on their friends back with a black marker', '...
[ "they are both choreographed music", "they are both choreographed to music", "they are both choreographed music", "they are both choreographed music", "they are both choreographed music" ]
they are both choreographed to music
they are both choreographed music.
they are both choreographed to music. they are both choreographed music. they are both choreographed music. they are both choreographed music.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are both choreographed music', 'they are both choreographed to music', 'they are both choreographed music', 'they are both choreographed music', 'they are both choreographed music']
[ "his niece sheila white is a political strategist for the new democratic party", "his niece sheila white is a political strategist for the new democratic party", "his niece sheila white is a political strategist for the new democratic party", "his niece sheila white is a political strategist for the new democ...
his niece sheila white is a political strategist for the new democratic party
his niece sheila white is a political strategist for the new democratic party.
his niece sheila white is a political strategist for the new democratic party. his niece sheila white is a political strategist for the new democratic party. his niece sheila white is a political strategist for the new democratic party. his niece sheila white is a political strategist for the new democratic party.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his niece sheila white is a political strategist for the new democratic party', 'his niece sheila white is a political strategist for the new democratic party', 'his niece sheila white is a political strategis...
[ "chinlont was born in new york city", "qin lent was born in new york city", "chen lent was born in new york city", "chin lent was born in new york city", "qin lanth was born in new york city" ]
chinlund was born in new york city
chinlont was born in new york city.
qin lent was born in new york city. chen lent was born in new york city. chin lent was born in new york city. qin lanth was born in new york city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['chinlont was born in new york city', 'qin lent was born in new york city', 'chen lent was born in new york city', 'chin lent was born in new york city', 'qin lanth was born in new york city']
[ "he is married to donna isram", "he is married to donna islam", "he is married to donna is from", "he is married to donna israam", "he is married to donna is from" ]
he is married to donna isham
he is married to donna isram.
he is married to donna islam. he is married to donna is from. he is married to donna israam. he is married to donna is from.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is married to donna isram', 'he is married to donna islam', 'he is married to donna is from', 'he is married to donna israam', 'he is married to donna is from']
[ "the builder of luksha castle in belarus", "the builder of luqcha castle in belarus", "the builder of lucia castle in bellaguse", "the builder of leukcha castle in bellaguse", "the builder of luksha castle in bellaguse" ]
the builder of lubcha castle in belarus
the builder of luksha castle in belarus.
the builder of luqcha castle in belarus. the builder of lucia castle in bellaguse. the builder of leukcha castle in bellaguse. the builder of luksha castle in bellaguse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the builder of luksha castle in belarus', 'the builder of luqcha castle in belarus', 'the builder of lucia castle in bellaguse', 'the builder of leukcha castle in bellaguse', 'the builder of luksha castle in b...
[ "the black rays have performed in light numerous times", "the black rays have performed same light numerous times", "the black rays have performed in light numerous times", "the black rays have performed same light numerous times", "the black graves have performed in light numerous times" ]
the black crowes have performed the song live numerous times
the black rays have performed in light numerous times.
the black rays have performed same light numerous times. the black rays have performed in light numerous times. the black rays have performed same light numerous times. the black graves have performed in light numerous times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the black rays have performed in light numerous times', 'the black rays have performed same light numerous times', 'the black rays have performed in light numerous times', 'the black rays have performed same l...
[ "it was an accompanying book of the same title", "there was an accompanying book of the same title", "it was an accompanying book of the same title", "it was in a accompanying book of the same title", "it was in a company book of the same title" ]
there was an accompanying book of the same title
it was an accompanying book of the same title.
there was an accompanying book of the same title. it was an accompanying book of the same title. it was in a accompanying book of the same title. it was in a company book of the same title.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was an accompanying book of the same title', 'there was an accompanying book of the same title', 'it was an accompanying book of the same title', 'it was in a accompanying book of the same title', 'it was i...
[ "the queen and the three gardeners instantly threw themselves flat upon their faces", "the queen and the three gardeners instantly threw themselves flat upon their faces", "the queen and the three gardeners instantly threw themselves flat upon their faces", "the queen and the three gardeners instantly threw t...
the queen and the three gardeners instantly threw themselves flat upon their faces
the queen and the three gardeners instantly threw themselves flat upon their faces.
the queen and the three gardeners instantly threw themselves flat upon their faces. the queen and the three gardeners instantly threw themselves flat upon their faces. the queen and the three gardeners instantly threw themselves flat upon their faces. the queen and the three gardeners instantly threw themselves flat up...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the queen and the three gardeners instantly threw themselves flat upon their faces', 'the queen and the three gardeners instantly threw themselves flat upon their faces', 'the queen and the three gardeners ins...
[ "he reports that in blog format on the mecklylands website", "he reports that in blog format on the meckleylands website", "he reports that in blog format on the mech cleanlands website", "he reports that in block format on the meckleylands website", "he reports that in block format on the mecklylands websi...
he reports back in blog format on the mcclelland is website
he reports that in blog format on the mecklylands website.
he reports that in blog format on the meckleylands website. he reports that in blog format on the mech cleanlands website. he reports that in block format on the meckleylands website. he reports that in block format on the mecklylands website.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he reports that in blog format on the mecklylands website', 'he reports that in blog format on the meckleylands website', 'he reports that in blog format on the mech cleanlands website', 'he reports that in bl...
[ "the city later came to be called fransville", "the city later came to be called franco", "the city later came to be called farmsville", "the city later came to be called fransville", "the city later came to be called fransville" ]
the city later came to be called franceville
the city later came to be called fransville.
the city later came to be called franco. the city later came to be called farmsville. the city later came to be called fransville. the city later came to be called fransville.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the city later came to be called fransville', 'the city later came to be called franco', 'the city later came to be called farmsville', 'the city later came to be called fransville', 'the city later came to be...
[ "like a monophonic synthesizer the filter was switchable between single or multiple modes", "like a monophonic synthesizer the filter was switchable between single and multiple modes", "like a monophonic synthesizer the filter was switchable between single or multiple nerds", "like a monophonic synthesizer th...
like a monophonic synthesizer the filter was switchable between single or multiple modes
like a monophonic synthesizer the filter was switchable between single or multiple modes.
like a monophonic synthesizer the filter was switchable between single and multiple modes. like a monophonic synthesizer the filter was switchable between single or multiple nerds. like a monophonic synthesizer the filter was switchable between single or multiple meds. like a monophonics synthesizer the filter was swit...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like a monophonic synthesizer the filter was switchable between single or multiple modes', 'like a monophonic synthesizer the filter was switchable between single and multiple modes', 'like a monophonic synthe...
[ "tink prong rock bollocks baby", "tink prong rock bollocks baby", "tink prong rock bollocks baby", "tink prong rock bollocks baby", "think prong rock bollocks baby" ]
think prog rock bollocks baby
tink prong rock bollocks baby.
tink prong rock bollocks baby. tink prong rock bollocks baby. tink prong rock bollocks baby. think prong rock bollocks baby.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tink prong rock bollocks baby', 'tink prong rock bollocks baby', 'tink prong rock bollocks baby', 'tink prong rock bollocks baby', 'think prong rock bollocks baby']
[ "his book was ignored", "his book was ignored", "his book was ignored", "his book was ignored", "his book was ignored" ]
his book was ignored
his book was ignored.
his book was ignored. his book was ignored. his book was ignored. his book was ignored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his book was ignored', 'his book was ignored', 'his book was ignored', 'his book was ignored', 'his book was ignored']
[ "it is one of the top foreign banks operating in hong kong", "it is one of the top foreign banks operating in hong kong", "it is one of the top foreign banks operating in hong kong", "it is one of the top foreign banks operating in hong kong", "it is one of the top foreign banks operating in hong kong" ]
it is one of the top foreign banks operating in hong kong
it is one of the top foreign banks operating in hong kong.
it is one of the top foreign banks operating in hong kong. it is one of the top foreign banks operating in hong kong. it is one of the top foreign banks operating in hong kong. it is one of the top foreign banks operating in hong kong.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is one of the top foreign banks operating in hong kong', 'it is one of the top foreign banks operating in hong kong', 'it is one of the top foreign banks operating in hong kong', 'it is one of the top forei...
[ "spongebob also help missus", "spongebob also helped missus", "spongebob also help missus", "spongebob also help missus", "spongebob also help missus" ]
spongebob also helps missus
spongebob also help missus.
spongebob also helped missus. spongebob also help missus. spongebob also help missus. spongebob also help missus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['spongebob also help missus', 'spongebob also helped missus', 'spongebob also help missus', 'spongebob also help missus', 'spongebob also help missus']
[ "the landform at the back depicts the punta doors ananti is cliff in guam", "the landform at the back depicts the punta doors and aunties cliff in guam", "the landform at the back depicts the punta doors of nantes cliff in guam", "the landform at the back depicts the punta doors and aunties clipped in guam", ...
the landform at the back depicts the punta dos amantes cliff on guam
the landform at the back depicts the punta doors ananti is cliff in guam.
the landform at the back depicts the punta doors and aunties cliff in guam. the landform at the back depicts the punta doors of nantes cliff in guam. the landform at the back depicts the punta doors and aunties clipped in guam. the landform at the back depicts the punta doors anantes cliff in guam.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the landform at the back depicts the punta doors ananti is cliff in guam', 'the landform at the back depicts the punta doors and aunties cliff in guam', 'the landform at the back depicts the punta doors of nan...
[ "nevertheless summary enforcement is desirable so that the poem has a natural rhythm", "nevertheless summary enforcement is desirable so that the poem has a natural rhythm", "nevertheless some reinforcement is desirable so that the poem has a natural rhythm", "nevertheless some reinforcement is desirable so t...
nevertheless some reinforcement is desirable so that the poem has a natural rhythm
nevertheless summary enforcement is desirable so that the poem has a natural rhythm.
nevertheless summary enforcement is desirable so that the poem has a natural rhythm. nevertheless some reinforcement is desirable so that the poem has a natural rhythm. nevertheless some reinforcement is desirable so that the poem has a natural rhythm. nevertheless some reinforcements are desirable so that the poem has...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nevertheless summary enforcement is desirable so that the poem has a natural rhythm', 'nevertheless summary enforcement is desirable so that the poem has a natural rhythm', 'nevertheless some reinforcement is ...
[ "i am glad it is on his website", "i am glad it is on his website", "i am glad it is on his website", "i am glad it is on his website", "i am glad it is on his website" ]
i am glad it is on his website
i am glad it is on his website.
i am glad it is on his website. i am glad it is on his website. i am glad it is on his website. i am glad it is on his website.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am glad it is on his website', 'i am glad it is on his website', 'i am glad it is on his website', 'i am glad it is on his website', 'i am glad it is on his website']
[ "extracurricular activities come under the jurisdiction of the arkansas activity substitution", "extra curricular activities come under the jurisdiction of the arkansas activity substitution", "extracurricular activities come under the jurisdiction of the arkansas is activities association", "extracurricular ...
extracurricular activities come under the jurisdiction of the arkansas activities association
extracurricular activities come under the jurisdiction of the arkansas activity substitution.
extra curricular activities come under the jurisdiction of the arkansas activity substitution. extracurricular activities come under the jurisdiction of the arkansas is activities association. extracurricular activities come under the jurisdiction of the arkansas activity association. extra curricular activities come u...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['extracurricular activities come under the jurisdiction of the arkansas activity substitution', 'extra curricular activities come under the jurisdiction of the arkansas activity substitution', 'extracurricular ...
[ "using an incorrect field is usually a strong contributing factor", "using an incorrect feel is usually a strong contributing factor", "using an incorrect fuel is usually a strong contributing factor", "using an incorrect field is usually a strong contributing factor", "using an incorrect field is usually a...
using an incorrect fuel is usually a strong contributing factor
using an incorrect field is usually a strong contributing factor.
using an incorrect feel is usually a strong contributing factor. using an incorrect fuel is usually a strong contributing factor. using an incorrect field is usually a strong contributing factor. using an incorrect field is usually a strong contributing factor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['using an incorrect field is usually a strong contributing factor', 'using an incorrect feel is usually a strong contributing factor', 'using an incorrect fuel is usually a strong contributing factor', 'using a...
[ "visual structure refers to the way that the elements had visually displayed", "visual structure refers to the way that the elements are visually displayed", "visual structure refers to the way that the elements that are visually displayed", "visual structure refers to the way that the elements had a visually...
visual structure refers to the way that the elements are visually displayed
visual structure refers to the way that the elements had visually displayed.
visual structure refers to the way that the elements are visually displayed. visual structure refers to the way that the elements that are visually displayed. visual structure refers to the way that the elements had a visually displayed. the visual structure refers to the way that the elements are visually displayed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['visual structure refers to the way that the elements had visually displayed', 'visual structure refers to the way that the elements are visually displayed', 'visual structure refers to the way that the element...
[ "there is no evidence that he supported seeking a consent from patients", "there is no evidence that he is appointed seeking a consent from patients", "there is no evidence that he has supported seeking a consent from patients", "there is no evidence that he is reported seeking a consent from patients", "th...
there is no evidence that he supported seeking a consent from patients
there is no evidence that he supported seeking a consent from patients.
there is no evidence that he is appointed seeking a consent from patients. there is no evidence that he has supported seeking a consent from patients. there is no evidence that he is reported seeking a consent from patients. there is no evidence that he is reported seeking a consent from patients.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is no evidence that he supported seeking a consent from patients', 'there is no evidence that he is appointed seeking a consent from patients', 'there is no evidence that he has supported seeking a conse...
[ "the name derives from the biblical story of lazarus", "the name derives from the biblical story of lazarus", "the name derived from the biblical story of lazarus", "the name derives from the biblical story of lazarus", "the name derives from the biblical story of lazarus" ]
the name derives from the biblical story of lazarus
the name derives from the biblical story of lazarus.
the name derives from the biblical story of lazarus. the name derived from the biblical story of lazarus. the name derives from the biblical story of lazarus. the name derives from the biblical story of lazarus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name derives from the biblical story of lazarus', 'the name derives from the biblical story of lazarus', 'the name derived from the biblical story of lazarus', 'the name derives from the biblical story of ...
[ "they also provide funding to a large number of student groups", "they also provide funding to a large number of student groups", "they also provide funding to a large number of student groups", "they also provide funding to a large number of student groups", "they also provide funding to a large number of ...
they also provide funding to a large number of student groups
they also provide funding to a large number of student groups.
they also provide funding to a large number of student groups. they also provide funding to a large number of student groups. they also provide funding to a large number of student groups. they also provide funding to a large number of student groups.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they also provide funding to a large number of student groups', 'they also provide funding to a large number of student groups', 'they also provide funding to a large number of student groups', 'they also prov...
[ "season eight of three is company drew to a close in a three episode story arc", "season eight of three is company drew to a close in a three episode story arc", "season eight of three is company drew to a close in a three episode story arc", "season eight of three is company drew to a close in a three episod...
season eight of three is company drew to a close in a three episode story arc
season eight of three is company drew to a close in a three episode story arc.
season eight of three is company drew to a close in a three episode story arc. season eight of three is company drew to a close in a three episode story arc. season eight of three is company drew to a close in a three episode story arc. season eight of three is company drew to a close in a tree episode story arc.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['season eight of three is company drew to a close in a three episode story arc', 'season eight of three is company drew to a close in a three episode story arc', 'season eight of three is company drew to a clos...
[ "everything will be settled in a few days now", "everything will be saddled in a few days now", "everything will be settled in a few days now", "everything will be settled in a few days now", "everything will be settled in a few days now" ]
everything will be settled in a few days now
everything will be settled in a few days now.
everything will be saddled in a few days now. everything will be settled in a few days now. everything will be settled in a few days now. everything will be settled in a few days now.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['everything will be settled in a few days now', 'everything will be saddled in a few days now', 'everything will be settled in a few days now', 'everything will be settled in a few days now', 'everything will b...
[ "geraldine was already a catholic", "jeraldine was already a catholic", "geraldine was already a catholic", "geraldine was already a catholic", "geraldine was already a catholic" ]
geraldine was already a catholic
geraldine was already a catholic.
jeraldine was already a catholic. geraldine was already a catholic. geraldine was already a catholic. geraldine was already a catholic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['geraldine was already a catholic', 'jeraldine was already a catholic', 'geraldine was already a catholic', 'geraldine was already a catholic', 'geraldine was already a catholic']
[ "an important industry was the manufacture of snuff and cigars", "an important industry was the manufacture of snuff and cigars", "an important industry was the manufacture of snuff and seagars", "an important industry was the manufacture of snuff and seagars", "an important industry was the manufacture of ...
an important industry was the manufacture of snuff and cigars
an important industry was the manufacture of snuff and cigars.
an important industry was the manufacture of snuff and cigars. an important industry was the manufacture of snuff and seagars. an important industry was the manufacture of snuff and seagars. an important industry was the manufacture of snuff and seagars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['an important industry was the manufacture of snuff and cigars', 'an important industry was the manufacture of snuff and cigars', 'an important industry was the manufacture of snuff and seagars', 'an important ...
[ "there is no legal obligation for that person to accept their appointment", "there is no legal obligation for that person to accept their appointment", "there is no illegal obligation for that person to accept their appointment", "there is no illegal obligation for that person to accept their appointment", ...
there is no legal obligation for that person to accept the appointment
there is no legal obligation for that person to accept their appointment.
there is no legal obligation for that person to accept their appointment. there is no illegal obligation for that person to accept their appointment. there is no illegal obligation for that person to accept their appointment. there is not a legal obligation for that person to accept their appointment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is no legal obligation for that person to accept their appointment', 'there is no legal obligation for that person to accept their appointment', 'there is no illegal obligation for that person to accept ...
[ "used k jectronic fuel injection", "used k jetronic fuel injection", "used k jetronic fuel injection", "used k jetronic fuel injection", "used k jectronic fuel injection" ]
used k jetronic fuel injection
used k jectronic fuel injection.
used k jetronic fuel injection. used k jetronic fuel injection. used k jetronic fuel injection. used k jectronic fuel injection.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['used k jectronic fuel injection', 'used k jetronic fuel injection', 'used k jetronic fuel injection', 'used k jetronic fuel injection', 'used k jectronic fuel injection']
[ "he belonged to the viennier of our good farms", "he belonged to the viennier of our good forms", "he belonged to the viennia of our good farms", "he belonged to the vienniala god of arms", "he belonged to the vienniala godfarms" ]
he belonged to the wieniawa coat of arms
he belonged to the viennier of our good farms.
he belonged to the viennier of our good forms. he belonged to the viennia of our good farms. he belonged to the vienniala god of arms. he belonged to the vienniala godfarms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he belonged to the viennier of our good farms', 'he belonged to the viennier of our good forms', 'he belonged to the viennia of our good farms', 'he belonged to the vienniala god of arms', 'he belonged to the ...
[ "it may have been inspired by an incident back in north carolina", "it may have been inspired by an incident back in north carolina", "it may have been inspired by an incident back in north carolina", "it may have been inspired by an incident back in north carolina", "it may have been inspired by an inciden...
it may have been inspired by an incident back in north carolina
it may have been inspired by an incident back in north carolina.
it may have been inspired by an incident back in north carolina. it may have been inspired by an incident back in north carolina. it may have been inspired by an incident back in north carolina. it may have been inspired by an incident back in north carolina.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it may have been inspired by an incident back in north carolina', 'it may have been inspired by an incident back in north carolina', 'it may have been inspired by an incident back in north carolina', 'it may h...
[ "socrates says he could give more examples but thinks his point is sufficiently established", "socrates says he could give more examples but thinks his point is sufficiently established", "socrates says he could give more examples but thinks his point is sufficiently established", "socrates says he could give...
socrates says he could give more examples but thinks his point is sufficiently established
socrates says he could give more examples but thinks his point is sufficiently established.
socrates says he could give more examples but thinks his point is sufficiently established. socrates says he could give more examples but thinks his point is sufficiently established. socrates says he could give more examples but thinks his point is sufficiently established. socrates says he could give more examples bu...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['socrates says he could give more examples but thinks his point is sufficiently established', 'socrates says he could give more examples but thinks his point is sufficiently established', 'socrates says he coul...
[ "girls allowed have also received the most nominations with eight", "girls allowed have also received the most nominations with eight", "girls aloud have also received the most nominations with eight", "girls allowed have also received the most nominations with eight", "goals allowed have also received the ...
girls aloud have also received the most nominations with eight
girls allowed have also received the most nominations with eight.
girls allowed have also received the most nominations with eight. girls aloud have also received the most nominations with eight. girls allowed have also received the most nominations with eight. goals allowed have also received the most nominations with eight.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['girls allowed have also received the most nominations with eight', 'girls allowed have also received the most nominations with eight', 'girls aloud have also received the most nominations with eight', 'girls a...
[ "this could cause problems for the shooter with repeated firing", "this could cause problems for the shooter with repeated firing", "this could cause problems for the shooter with repeated firing", "this could cause problems for the shooter with repeated firing", "this could cause problems for the shooter w...
this could cause problems for the shooter with repeated firing
this could cause problems for the shooter with repeated firing.
this could cause problems for the shooter with repeated firing. this could cause problems for the shooter with repeated firing. this could cause problems for the shooter with repeated firing. this could cause problems for the shooter with repeated firing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this could cause problems for the shooter with repeated firing', 'this could cause problems for the shooter with repeated firing', 'this could cause problems for the shooter with repeated firing', 'this could ...
[ "for the members of the canning family also gained distinction", "for the members of the canning family also gained distinction", "for the members of the canning family also gain distinction", "for the members of the canning family also gain distinction", "for other members of the canning family also gain d...
two other members of the canning family also gained distinction
for the members of the canning family also gained distinction.
for the members of the canning family also gained distinction. for the members of the canning family also gain distinction. for the members of the canning family also gain distinction. for other members of the canning family also gain distinction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for the members of the canning family also gained distinction', 'for the members of the canning family also gained distinction', 'for the members of the canning family also gain distinction', 'for the members ...
[ "who do you recognize him if i did this to him", "who did you recognize him if i did this to him", "do you recognize him if i did this to him", "who do you want to see if i did this to him", "who do you recognize him if i did this to him" ]
would you recognize him if i did this to him
who do you recognize him if i did this to him.
who did you recognize him if i did this to him. do you recognize him if i did this to him. who do you want to see if i did this to him. who do you recognize him if i did this to him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['who do you recognize him if i did this to him', 'who did you recognize him if i did this to him', 'do you recognize him if i did this to him', 'who do you want to see if i did this to him', 'who do you recogni...
[ "in order to maximize the chances of success the mastery cove was a double bluff", "in order to maximize the chances of success the mastery cove was a double bluff", "in order to maximize the chances of success the mass recover was a double bluff", "in order to maximize the chances of success the mass recover...
in order to maximize the chances of success the maskirovka was a double bluff
in order to maximize the chances of success the mastery cove was a double bluff.
in order to maximize the chances of success the mastery cove was a double bluff. in order to maximize the chances of success the mass recover was a double bluff. in order to maximize the chances of success the mass recover was a double bluff. in order to maximize the chances of success the mastery kovar was a double bl...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in order to maximize the chances of success the mastery cove was a double bluff', 'in order to maximize the chances of success the mastery cove was a double bluff', 'in order to maximize the chances of success...
[ "runbooks are typically created by technical writers working for top tier managed service providers", "rangbooks are typically created by technical writers working for top tier managed service providers", "runbooks are typically created by technical writers working for top tier managed service providers", "ru...
runbooks are typically created by technical writers working for top tier managed service providers
runbooks are typically created by technical writers working for top tier managed service providers.
rangbooks are typically created by technical writers working for top tier managed service providers. runbooks are typically created by technical writers working for top tier managed service providers. runbooks are typically created by technical writers working for top tier managed service providers. runbooks are typica...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['runbooks are typically created by technical writers working for top tier managed service providers', 'rangbooks are typically created by technical writers working for top tier managed service providers', 'runb...
[ "heritage asked with his queer crooked smile", "heritage asked with his queer crooked smile", "heritage asked with his queer crooked smile", "heritage asked with his queer crooked smile", "heritage asked with his queer crooked smile" ]
heritage asked with his queer crooked smile
heritage asked with his queer crooked smile.
heritage asked with his queer crooked smile. heritage asked with his queer crooked smile. heritage asked with his queer crooked smile. heritage asked with his queer crooked smile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['heritage asked with his queer crooked smile', 'heritage asked with his queer crooked smile', 'heritage asked with his queer crooked smile', 'heritage asked with his queer crooked smile', 'heritage asked with h...
[ "laurie is mother discovered the body and mychal lawrence and tabitha were quickly arrested", "laurie is mother discovered the body and martial lawrence and tabitha were quickly arrested", "laurie is mother discovered the body and mychal lawrence and tabita were quickly arrested", "laurie is mother discovered...
laurie is mother discovered the body and michelle lawrence and tabitha were quickly arrested
laurie is mother discovered the body and mychal lawrence and tabitha were quickly arrested.
laurie is mother discovered the body and martial lawrence and tabitha were quickly arrested. laurie is mother discovered the body and mychal lawrence and tabita were quickly arrested. laurie is mother discovered the body and michel lawrence and tabitha were quickly arrested. laurie is mother discovered the body and myc...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['laurie is mother discovered the body and mychal lawrence and tabitha were quickly arrested', 'laurie is mother discovered the body and martial lawrence and tabitha were quickly arrested', 'laurie is mother dis...
[ "the bright yellow cars delivering fruit have carried the slogan pat pat ding ding", "the bright yellow cars delivering fruit have carried the slogan pat pat ding ding", "the bright yellow cars delivering fruit have carried the slogan pot pot ding ding", "the bright yellow cars delivering fruit have carried t...
the bright yellow cars delivering food have carried the slogan putt putt ding ding
the bright yellow cars delivering fruit have carried the slogan pat pat ding ding.
the bright yellow cars delivering fruit have carried the slogan pat pat ding ding. the bright yellow cars delivering fruit have carried the slogan pot pot ding ding. the bright yellow cars delivering fruit have carried the slogan pad pad ding ding. the bright yellow cars delivering fruit have carried the slogan putt pu...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the bright yellow cars delivering fruit have carried the slogan pat pat ding ding', 'the bright yellow cars delivering fruit have carried the slogan pat pat ding ding', 'the bright yellow cars delivering fruit...
[ "jima is served by abhasigadeh port", "jima is served by abhasegadeh port", "jima is served by abbasigadeh port", "jima is served by abhashigadeh port", "jima is served by abhasigadeh port" ]
jimma is served by aba segud airport
jima is served by abhasigadeh port.
jima is served by abhasegadeh port. jima is served by abbasigadeh port. jima is served by abhashigadeh port. jima is served by abhasigadeh port.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jima is served by abhasigadeh port', 'jima is served by abhasegadeh port', 'jima is served by abbasigadeh port', 'jima is served by abhashigadeh port', 'jima is served by abhasigadeh port']
[ "after his fortnight at hips instead joined the aberdeen on loan", "after his fortnight at hips he instead joined the aberdeen on loan", "after his fortnaya hips he instead joined the aberdeen on loan", "after his fortnaya hips instead joined the aberdeen on loan", "after his fortnight at hips he instead jo...
after his fortnight at hibs he instead joined aberdeen on loan
after his fortnight at hips instead joined the aberdeen on loan.
after his fortnight at hips he instead joined the aberdeen on loan. after his fortnaya hips he instead joined the aberdeen on loan. after his fortnaya hips instead joined the aberdeen on loan. after his fortnight at hips he instead joined the aberdeen on loan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after his fortnight at hips instead joined the aberdeen on loan', 'after his fortnight at hips he instead joined the aberdeen on loan', 'after his fortnaya hips he instead joined the aberdeen on loan', 'after ...
[ "for certain shots a fake arm was used", "for certain shots a fake arm was used", "for certain shots a fake arm was used", "for certain shots a fake arm was used", "for certain shots a fake arm was used" ]
for certain shots a fake arm was used
for certain shots a fake arm was used.
for certain shots a fake arm was used. for certain shots a fake arm was used. for certain shots a fake arm was used. for certain shots a fake arm was used.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for certain shots a fake arm was used', 'for certain shots a fake arm was used', 'for certain shots a fake arm was used', 'for certain shots a fake arm was used', 'for certain shots a fake arm was used']
[ "her feast day remains the town is major local holiday", "her feastay remains the town is major local holiday", "her feast day remains the town is major local holiday", "her feast day remains the town is major local holiday", "her feast day remains the town is major local holiday" ]
her feast day remains the town is major local holiday
her feast day remains the town is major local holiday.
her feastay remains the town is major local holiday. her feast day remains the town is major local holiday. her feast day remains the town is major local holiday. her feast day remains the town is major local holiday.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her feast day remains the town is major local holiday', 'her feastay remains the town is major local holiday', 'her feast day remains the town is major local holiday', 'her feast day remains the town is major ...
[ "saint just proposes an immediate ceasefire between montecor and heaven", "saint just proposes an immediate ceasefire between montecor and heaven", "saint just proposes an immediate cease fire between montecor and heaven", "saint just proposes an immediate cease fire between montecor and heaven", "saint jus...
saint just proposes an immediate cease fire between manticore and haven
saint just proposes an immediate ceasefire between montecor and heaven.
saint just proposes an immediate ceasefire between montecor and heaven. saint just proposes an immediate cease fire between montecor and heaven. saint just proposes an immediate cease fire between montecor and heaven. saint just proposes an immediate ceasefire between montecor and heaven.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['saint just proposes an immediate ceasefire between montecor and heaven', 'saint just proposes an immediate ceasefire between montecor and heaven', 'saint just proposes an immediate cease fire between montecor ...
[ "in the same year she featured in the chinese film the guiletians", "in the same year she featured in the chinese film the guillotine is", "in the same year she featured in the chinese film the guiletians", "in the same year she featured in the chinese film the guillotine", "in the same year she featured in...
in the same year she featured in the chinese film the guillotines
in the same year she featured in the chinese film the guiletians.
in the same year she featured in the chinese film the guillotine is. in the same year she featured in the chinese film the guiletians. in the same year she featured in the chinese film the guillotine. in the same year she featured in the chinese film the guillotine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the same year she featured in the chinese film the guiletians', 'in the same year she featured in the chinese film the guillotine is', 'in the same year she featured in the chinese film the guiletians', 'in...
[ "the short misses however because it is mistakenly aimed at frank is shadow", "the short misses however because it is mistakenly aimed at frank is shadow", "the short misses however because it is mistakenly aimed at frank is shadow", "the short misses however because it is mistakenly aimed at frank is shadow"...
the shot misses however because it is mistakenly aimed at frank is shadow
the short misses however because it is mistakenly aimed at frank is shadow.
the short misses however because it is mistakenly aimed at frank is shadow. the short misses however because it is mistakenly aimed at frank is shadow. the short misses however because it is mistakenly aimed at frank is shadow. the short misses however because it is mistakenly aimed at frank is shadow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the short misses however because it is mistakenly aimed at frank is shadow', 'the short misses however because it is mistakenly aimed at frank is shadow', 'the short misses however because it is mistakenly aim...
[ "she was taken to chitagong bangladesh to be broken up for scrap", "she was taken to chitagong bangladesh to be broken up for scrap", "she was taken to chita gang bangladesh to be broken up for scrap", "she was taken to chita gong bangladesh to be broken up for scrap", "she was taken to chita gong banglades...
she was taken to chittagong bangladesh to be broken up for scrap
she was taken to chitagong bangladesh to be broken up for scrap.
she was taken to chitagong bangladesh to be broken up for scrap. she was taken to chita gang bangladesh to be broken up for scrap. she was taken to chita gong bangladesh to be broken up for scrap. she was taken to chita gong bangladesh to be broken up for scrap.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was taken to chitagong bangladesh to be broken up for scrap', 'she was taken to chitagong bangladesh to be broken up for scrap', 'she was taken to chita gang bangladesh to be broken up for scrap', 'she was...
[ "member institutions complete periodic peer review processes to become and remain accredited", "member institutions complete periodic peer review processes to become and remain accredited", "member institutions complete periodic peer review processes to become and remain accredited", "member institutions comp...
member institutions complete periodic peer review processes to become and remain accredited
member institutions complete periodic peer review processes to become and remain accredited.
member institutions complete periodic peer review processes to become and remain accredited. member institutions complete periodic peer review processes to become and remain accredited. member institutions complete periodic peer review processes to become and remain accredited. member institutions complete periodic pee...
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['member institutions complete periodic peer review processes to become and remain accredited', 'member institutions complete periodic peer review processes to become and remain accredited', 'member institutions...
[ "the tank command doubled as loaded like many other tanks of the right", "the tank command doubled as loaded like many other tanks of the reich", "the tank command double task loaded like many other tanks of the right", "the tank command double task loaded like many other tanks of the reich", "the tank comm...
the tank commander doubled as loader like many other tanks of the time
the tank command doubled as loaded like many other tanks of the right.
the tank command doubled as loaded like many other tanks of the reich. the tank command double task loaded like many other tanks of the right. the tank command double task loaded like many other tanks of the reich. the tank command doubled as loaded like many other tanks of the reich.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tank command doubled as loaded like many other tanks of the right', 'the tank command doubled as loaded like many other tanks of the reich', 'the tank command double task loaded like many other tanks of th...
[ "travel was an only child whose mother died when he was young", "travel was not only child whose mother died when he was young", "travel was not only child whose mother died when he was young", "travel was an only child whose mother died when he was young", "dravel was an only child whose mother died when h...
drabble was an only child whose mother died when he was young
travel was an only child whose mother died when he was young.
travel was not only child whose mother died when he was young. travel was not only child whose mother died when he was young. travel was an only child whose mother died when he was young. dravel was an only child whose mother died when he was young.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['travel was an only child whose mother died when he was young', 'travel was not only child whose mother died when he was young', 'travel was not only child whose mother died when he was young', 'travel was an o...
[ "following the purchase new amsterdam grew slowly", "following the purchase new amsterdam grew slowly", "following the perches new amsterdam grew slowly", "following the perches new amsterdam grew slowly", "following the purchase new amsterdam grew slowly" ]
following the purchase new amsterdam grew slowly
following the purchase new amsterdam grew slowly.
following the purchase new amsterdam grew slowly. following the perches new amsterdam grew slowly. following the perches new amsterdam grew slowly. following the purchase new amsterdam grew slowly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['following the purchase new amsterdam grew slowly', 'following the purchase new amsterdam grew slowly', 'following the perches new amsterdam grew slowly', 'following the perches new amsterdam grew slowly', 'fol...
[ "two children are riding horses over sand near a white fence", "two children are riding horses over sand nearer white fence", "two children are riding horses over sand nearer white fence", "two children are riding horses over sand near a white fence", "two children are riding horses over san niro wat fence"...
two children are riding horses over sand near a white fence
two children are riding horses over sand near a white fence.
two children are riding horses over sand nearer white fence. two children are riding horses over sand nearer white fence. two children are riding horses over sand near a white fence. two children are riding horses over san niro wat fence.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two children are riding horses over sand near a white fence', 'two children are riding horses over sand nearer white fence', 'two children are riding horses over sand nearer white fence', 'two children are rid...
[ "it later became part of the vitebsk oblast", "it later became part of the vitebsk oblast", "it later became part of the vytipsk oblast", "it later became part of the vytipsk oblast", "it later became part of the vytipsk oblast" ]
it later became part of the vitebsk oblast
it later became part of the vitebsk oblast.
it later became part of the vitebsk oblast. it later became part of the vytipsk oblast. it later became part of the vytipsk oblast. it later became part of the vytipsk oblast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it later became part of the vitebsk oblast', 'it later became part of the vitebsk oblast', 'it later became part of the vytipsk oblast', 'it later became part of the vytipsk oblast', 'it later became part of t...
[ "city status is granted to a place within a local government area", "city status is granted to a place within a local government area", "city status is granted to a place within a local government area", "city is status is granted to a place within a local government area", "city status is granted to a plac...
city status is granted to a place within a local government area
city status is granted to a place within a local government area.
city status is granted to a place within a local government area. city status is granted to a place within a local government area. city is status is granted to a place within a local government area. city status is granted to a place within a local government area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['city status is granted to a place within a local government area', 'city status is granted to a place within a local government area', 'city status is granted to a place within a local government area', 'city ...
[ "on basis of the report a global tenure was floated", "on basis of the report a global tenure was flooded", "on basis of the report a new budget tenure was floated", "on basis of the report a global tenure was floating", "on basis of the report a global tenure was exploded" ]
on basis of the report a global tender was floated
on basis of the report a global tenure was floated.
on basis of the report a global tenure was flooded. on basis of the report a new budget tenure was floated. on basis of the report a global tenure was floating. on basis of the report a global tenure was exploded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on basis of the report a global tenure was floated', 'on basis of the report a global tenure was flooded', 'on basis of the report a new budget tenure was floated', 'on basis of the report a global tenure was ...
[ "farwarding was born in tehran iran", "farwarding was born in tahir al iran", "for wording was born in tahir al iran", "farwarding was born in tehran idhanma", "farwarding was born in tahirah al iran" ]
farvardin was born in tehran iran
farwarding was born in tehran iran.
farwarding was born in tahir al iran. for wording was born in tahir al iran. farwarding was born in tehran idhanma. farwarding was born in tahirah al iran.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['farwarding was born in tehran iran', 'farwarding was born in tahir al iran', 'for wording was born in tahir al iran', 'farwarding was born in tehran idhanma', 'farwarding was born in tahirah al iran']
[ "this sequence alignment method is often used in time series classification", "this sequence alignment method is often used in times series classification", "this sequence alignment method is often used in time series classification", "this sequence is alignment method is often used in time series classificat...
this sequence alignment method is often used in time series classification
this sequence alignment method is often used in time series classification.
this sequence alignment method is often used in times series classification. this sequence alignment method is often used in time series classification. this sequence is alignment method is often used in time series classification. this sequence alignment method is often used in timeseries classification.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this sequence alignment method is often used in time series classification', 'this sequence alignment method is often used in times series classification', 'this sequence alignment method is often used in time...
[ "it is generally known as kriya jantini marbles", "it is generally known as cria gentini marbles", "it is generally known as kriya jentini marbles", "it is generally known as cria gentini marbles", "it is generally known as kriya jantini marbles" ]
it is generally known as the craigentinny marbles
it is generally known as kriya jantini marbles.
it is generally known as cria gentini marbles. it is generally known as kriya jentini marbles. it is generally known as cria gentini marbles. it is generally known as kriya jantini marbles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is generally known as kriya jantini marbles', 'it is generally known as cria gentini marbles', 'it is generally known as kriya jentini marbles', 'it is generally known as cria gentini marbles', 'it is gener...
[ "the ground electrode in finland is situated near rantalla", "the ground electrode in finland is situated near rantala", "the ground electrode in finland is situated near rantalla", "the ground electrode in finland is situated near rantala", "the ground electrode in finland is situated near rantala" ]
the ground electrode in finland is situated near rantala
the ground electrode in finland is situated near rantalla.
the ground electrode in finland is situated near rantala. the ground electrode in finland is situated near rantalla. the ground electrode in finland is situated near rantala. the ground electrode in finland is situated near rantala.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ground electrode in finland is situated near rantalla', 'the ground electrode in finland is situated near rantala', 'the ground electrode in finland is situated near rantalla', 'the ground electrode in fin...
[ "seven singles were released in the san francisco bay area", "seven singles were released in the san francisco bay area", "seven singles were released in the san francisco bay area", "seven singles were released in the san francisco bay area", "seventh singles were released in the san francisco bay area" ]
seven singles were released in the san francisco bay area
seven singles were released in the san francisco bay area.
seven singles were released in the san francisco bay area. seven singles were released in the san francisco bay area. seven singles were released in the san francisco bay area. seventh singles were released in the san francisco bay area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['seven singles were released in the san francisco bay area', 'seven singles were released in the san francisco bay area', 'seven singles were released in the san francisco bay area', 'seven singles were release...
[ "by the end of april the three had completed work on our twenty-five demos", "by the end of april the threerd had completed work on our twenty-five demos", "by the end of april the three had completed work on our twenty-five demos", "by the end of april the three hat completed work on our twenty-five demos", ...
by the end of april the three had completed work on over twenty five demos
by the end of april the three had completed work on our twenty-five demos.
by the end of april the threerd had completed work on our twenty-five demos. by the end of april the three had completed work on our twenty-five demos. by the end of april the three hat completed work on our twenty-five demos. by the end of april the three had completed work on our twenty-five demos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by the end of april the three had completed work on our twenty-five demos', 'by the end of april the threerd had completed work on our twenty-five demos', 'by the end of april the three had completed work on o...