hypothesis
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[ "plans are still proposed for upgrading this later", "planets are still proposed for upgrading this later", "plants are still proposed for upgrading this later", "plans are still proposed for upgrading in this later", "plans are still proposed for upgrading this later" ]
plans are still proposed for upgrading this later
plans are still proposed for upgrading this later.
planets are still proposed for upgrading this later. plants are still proposed for upgrading this later. plans are still proposed for upgrading in this later. plans are still proposed for upgrading this later.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['plans are still proposed for upgrading this later', 'planets are still proposed for upgrading this later', 'plants are still proposed for upgrading this later', 'plans are still proposed for upgrading in this later', 'plans are still proposed for upgrading this later']
[ "there is some debate as to what constitutes the geographic boundaries of astoria", "there is some debate as to what constitutes the geographical boundaries of astoria", "there is some debate as to what constitutes the geographic boundaries of astoria", "there is some debate as to what constitutes the geographic boundaries of astoria", "there is some debate as to what constitutes the geographic boundaries of australia" ]
there is some debate as to what constitutes the geographic boundaries of astoria
there is some debate as to what constitutes the geographic boundaries of astoria.
there is some debate as to what constitutes the geographical boundaries of astoria. there is some debate as to what constitutes the geographic boundaries of astoria. there is some debate as to what constitutes the geographic boundaries of astoria. there is some debate as to what constitutes the geographic boundaries of australia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is some debate as to what constitutes the geographic boundaries of astoria', 'there is some debate as to what constitutes the geographical boundaries of astoria', 'there is some debate as to what constitutes the geographic boundaries of astoria', 'there is some debate as to what constitutes the geographic boundaries of astoria', 'there is some debate as to what constitutes the geographic boundaries of australia']
[ "as with our filters follow the manufacturer is instruction for filter use and replacement", "as with all filters follow the manufacturer is instruction for filter use and replacement", "as we thought filters follow the manufacturer is instruction for filter use and replacement", "as we thought filters follow the manufacturer is instruction for filter use and replacement", "as with all filters follow them and manufacture as instruction for filter use and replacement" ]
as with all filters follow the manufacturer is instructions for filter use and replacement
as with our filters follow the manufacturer is instruction for filter use and replacement.
as with all filters follow the manufacturer is instruction for filter use and replacement. as we thought filters follow the manufacturer is instruction for filter use and replacement. as we thought filters follow the manufacturer is instruction for filter use and replacement. as with all filters follow them and manufacture as instruction for filter use and replacement.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as with our filters follow the manufacturer is instruction for filter use and replacement', 'as with all filters follow the manufacturer is instruction for filter use and replacement', 'as we thought filters follow the manufacturer is instruction for filter use and replacement', 'as we thought filters follow the manufacturer is instruction for filter use and replacement', 'as with all filters follow them and manufacture as instruction for filter use and replacement']
[ "the name of rio compriro means long river", "the name of rio compriro means long river", "tenneembrio compriro means long river", "the name of rio compriro means long lover", "the name brio compriro means long river" ]
the name rio comprido means long river
the name of rio compriro means long river.
the name of rio compriro means long river. tenneembrio compriro means long river. the name of rio compriro means long lover. the name brio compriro means long river.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name of rio compriro means long river', 'the name of rio compriro means long river', 'tenneembrio compriro means long river', 'the name of rio compriro means long lover', 'the name brio compriro means long river']
[ "jupiter has then been quite successful and finished amateur levels of ice hockey", "jakarta has then been quite successful and finished amateur levels of ice hockey", "jucata has then been quite successful and finished amateur levels of ice hockey", "jucati has then been quite successful and finished amateur levels of ice hockey", "jukita has then been quite successful and finished amateur levels of ice hockey" ]
jukurit has then been quite successful in finnish amateur levels of ice hockey
jupiter has then been quite successful and finished amateur levels of ice hockey.
jakarta has then been quite successful and finished amateur levels of ice hockey. jucata has then been quite successful and finished amateur levels of ice hockey. jucati has then been quite successful and finished amateur levels of ice hockey. jukita has then been quite successful and finished amateur levels of ice hockey.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jupiter has then been quite successful and finished amateur levels of ice hockey', 'jakarta has then been quite successful and finished amateur levels of ice hockey', 'jucata has then been quite successful and finished amateur levels of ice hockey', 'jucati has then been quite successful and finished amateur levels of ice hockey', 'jukita has then been quite successful and finished amateur levels of ice hockey']
[ "none of it inmates nor the gods knew who were saved what", "none of the inmates nor the guards knew who were safe what", "none of the inmates nor the gods knew who were saved what", "none of the inmates nor the gods knew who were saved what", "none of it inmates nor the gods knew you were saved what" ]
neither the inmates nor the guards knew who received what
none of it inmates nor the gods knew who were saved what.
none of the inmates nor the guards knew who were safe what. none of the inmates nor the gods knew who were saved what. none of the inmates nor the gods knew who were saved what. none of it inmates nor the gods knew you were saved what.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['none of it inmates nor the gods knew who were saved what', 'none of the inmates nor the guards knew who were safe what', 'none of the inmates nor the gods knew who were saved what', 'none of the inmates nor the gods knew who were saved what', 'none of it inmates nor the gods knew you were saved what']
[ "several construction work is in orange vests and white hard hats work when you are trying", "several construction work is in orange vests and white hard hats work in your train", "several construction work is in orange vests and white hard hats work and you are a train", "several construction work is in orange vests and white hard hats work and you are a train", "several construction work is in orange vests and white hard hats work and you are trying" ]
several construction workers in orange vests and white hard hats work near a train
several construction work is in orange vests and white hard hats work when you are trying.
several construction work is in orange vests and white hard hats work in your train. several construction work is in orange vests and white hard hats work and you are a train. several construction work is in orange vests and white hard hats work and you are a train. several construction work is in orange vests and white hard hats work and you are trying.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['several construction work is in orange vests and white hard hats work when you are trying', 'several construction work is in orange vests and white hard hats work in your train', 'several construction work is in orange vests and white hard hats work and you are a train', 'several construction work is in orange vests and white hard hats work and you are a train', 'several construction work is in orange vests and white hard hats work and you are trying']
[ "well and the purses of this revision but guide before you could re draw the plans", "well and the purses of this revision but guide before you could redraw it the plans", "well and the purses of this revision but guide before you could redraw the plans", "well and the purses of this revision but glad before you could re draw the plans", "well and the prayers of this revision but guide before you could re draw the plans" ]
rowland approved of this revision but died before he could redraw the plans
well and the purses of this revision but guide before you could re draw the plans.
well and the purses of this revision but guide before you could redraw it the plans. well and the purses of this revision but guide before you could redraw the plans. well and the purses of this revision but glad before you could re draw the plans. well and the prayers of this revision but guide before you could re draw the plans.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['well and the purses of this revision but guide before you could re draw the plans', 'well and the purses of this revision but guide before you could redraw it the plans', 'well and the purses of this revision but guide before you could redraw the plans', 'well and the purses of this revision but glad before you could re draw the plans', 'well and the prayers of this revision but guide before you could re draw the plans']
[ "the intent was to use the property for commercial development", "the intent was to use the property for commercial development", "the intent was to use the property for commercial development", "the intent was to use the property for commercial development", "the intent was to use the property for commercial development" ]
the intent was to use the property for commercial development
the intent was to use the property for commercial development.
the intent was to use the property for commercial development. the intent was to use the property for commercial development. the intent was to use the property for commercial development. the intent was to use the property for commercial development.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the intent was to use the property for commercial development', 'the intent was to use the property for commercial development', 'the intent was to use the property for commercial development', 'the intent was to use the property for commercial development', 'the intent was to use the property for commercial development']
[ "one is the ghetto jails approach and the others is often independent people", "one is the ghetto jails approach and the others is often independent people", "one is the ghetto jails approach and others is often independent people", "one is the ghetto jails approach and the others is often independent people", "one is the ghetto jails approach and the other is often independent people" ]
one is the ghetto jew is approach and the other is of an independent people
one is the ghetto jails approach and the others is often independent people.
one is the ghetto jails approach and the others is often independent people. one is the ghetto jails approach and others is often independent people. one is the ghetto jails approach and the others is often independent people. one is the ghetto jails approach and the other is often independent people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one is the ghetto jails approach and the others is often independent people', 'one is the ghetto jails approach and the others is often independent people', 'one is the ghetto jails approach and others is often independent people', 'one is the ghetto jails approach and the others is often independent people', 'one is the ghetto jails approach and the other is often independent people']
[ "she is listed as one of michigan state university is accomplished women graduates", "she is listed as one of michigan state university is accomplished women graduates", "she is listed as one of michigan state university is accomplished women graduates", "she is listed as one of michigan state university is accomplished women graduates", "she is listed as one of michigan state university is accomplished women graduates" ]
she is listed as one of michigan state university is accomplished women graduates
she is listed as one of michigan state university is accomplished women graduates.
she is listed as one of michigan state university is accomplished women graduates. she is listed as one of michigan state university is accomplished women graduates. she is listed as one of michigan state university is accomplished women graduates. she is listed as one of michigan state university is accomplished women graduates.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is listed as one of michigan state university is accomplished women graduates', 'she is listed as one of michigan state university is accomplished women graduates', 'she is listed as one of michigan state university is accomplished women graduates', 'she is listed as one of michigan state university is accomplished women graduates', 'she is listed as one of michigan state university is accomplished women graduates']
[ "his trophic masterpiece your eyelashes shine is a typical sample of his art", "his trophic masterpiece your eyelash shine is a typical sample of his art", "his trophic masterpiece your eyelashes shine is a typical sample of his art", "his trophic masterpiece your eyelashes shine is a typical sample of his eye", "his trophic masterpiece your eyelashes shine is a typical sample of his art" ]
his strophic masterpiece your eyelashes shine is a typical example of his art
his trophic masterpiece your eyelashes shine is a typical sample of his art.
his trophic masterpiece your eyelash shine is a typical sample of his art. his trophic masterpiece your eyelashes shine is a typical sample of his art. his trophic masterpiece your eyelashes shine is a typical sample of his eye. his trophic masterpiece your eyelashes shine is a typical sample of his art.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his trophic masterpiece your eyelashes shine is a typical sample of his art', 'his trophic masterpiece your eyelash shine is a typical sample of his art', 'his trophic masterpiece your eyelashes shine is a typical sample of his art', 'his trophic masterpiece your eyelashes shine is a typical sample of his eye', 'his trophic masterpiece your eyelashes shine is a typical sample of his art']
[ "the same claim is true for them but requires more work", "the same claim is true for them but requires more work", "the same claim is true for them but requires more work", "the same claim is true for them but requires more work", "the same claim is true for them but requires more work" ]
the same claim is true for them but requires more work
the same claim is true for them but requires more work.
the same claim is true for them but requires more work. the same claim is true for them but requires more work. the same claim is true for them but requires more work. the same claim is true for them but requires more work.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the same claim is true for them but requires more work', 'the same claim is true for them but requires more work', 'the same claim is true for them but requires more work', 'the same claim is true for them but requires more work', 'the same claim is true for them but requires more work']
[ "the cathedral represents his three main offices of teaching sanctifying and governing", "the cathedral represents his three main offices of teaching sanctifying and governing", "the cathedral represents three main offices of teaching sanctifying and governing", "the cathedral represents three main offices of teaching sanctifying and governing", "the cathedral represents three main offices of teaching sanctifying and governing" ]
the cathedra represents his three main offices of teaching sanctifying and governing
the cathedral represents his three main offices of teaching sanctifying and governing.
the cathedral represents his three main offices of teaching sanctifying and governing. the cathedral represents three main offices of teaching sanctifying and governing. the cathedral represents three main offices of teaching sanctifying and governing. the cathedral represents three main offices of teaching sanctifying and governing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the cathedral represents his three main offices of teaching sanctifying and governing', 'the cathedral represents his three main offices of teaching sanctifying and governing', 'the cathedral represents three main offices of teaching sanctifying and governing', 'the cathedral represents three main offices of teaching sanctifying and governing', 'the cathedral represents three main offices of teaching sanctifying and governing']
[ "standing in her sister attending saint peter is school in bournemouth", "standing in her sister attending saint peter is school in bournemouth", "downing and her sister attending saint peter is school in bournemouth", "standing in her sister attending saint peter is school in bournemouth", "standing in the assistant attendant saint peter is school in bournemouth" ]
dowding and her sister attended saint peter is school in bournemouth
standing in her sister attending saint peter is school in bournemouth.
standing in her sister attending saint peter is school in bournemouth. downing and her sister attending saint peter is school in bournemouth. standing in her sister attending saint peter is school in bournemouth. standing in the assistant attendant saint peter is school in bournemouth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['standing in her sister attending saint peter is school in bournemouth', 'standing in her sister attending saint peter is school in bournemouth', 'downing and her sister attending saint peter is school in bournemouth', 'standing in her sister attending saint peter is school in bournemouth', 'standing in the assistant attendant saint peter is school in bournemouth']
[ "i did not want to tell him but i think the message was loud and clear", "i did not want to tell him but i think the message was loud and clear", "i did not want to tell him but i think the message was loud and clear", "i did not want to tell him but i think the message was loud and clear", "i did not want to tell him but i think the message was loud and clear" ]
i did not want to tell him but i think the message was loud and clear
i did not want to tell him but i think the message was loud and clear.
i did not want to tell him but i think the message was loud and clear. i did not want to tell him but i think the message was loud and clear. i did not want to tell him but i think the message was loud and clear. i did not want to tell him but i think the message was loud and clear.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i did not want to tell him but i think the message was loud and clear', 'i did not want to tell him but i think the message was loud and clear', 'i did not want to tell him but i think the message was loud and clear', 'i did not want to tell him but i think the message was loud and clear', 'i did not want to tell him but i think the message was loud and clear']
[ "i am innately very shy and i have struggled with that challenge for years", "i am innately very shy and i have struggled with that challenge for years", "i am innately very shy and i have struggled with that challenge for years", "i am innately very shy and i have struggled with that challenge for years", "i am innately very shy and i have struggled with that challenge for years" ]
i am innately very shy and i have struggled with that challenge for years
i am innately very shy and i have struggled with that challenge for years.
i am innately very shy and i have struggled with that challenge for years. i am innately very shy and i have struggled with that challenge for years. i am innately very shy and i have struggled with that challenge for years. i am innately very shy and i have struggled with that challenge for years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am innately very shy and i have struggled with that challenge for years', 'i am innately very shy and i have struggled with that challenge for years', 'i am innately very shy and i have struggled with that challenge for years', 'i am innately very shy and i have struggled with that challenge for years', 'i am innately very shy and i have struggled with that challenge for years']
[ "they must train fellow members in a variety of courses", "they must train fellow members in a variety of courses", "they must train fellow members in a variety of causes", "they must train fellowmembers in a variety of courses", "they must train fellow members in a variety of causes" ]
they must train fellow members in a variety of courses
they must train fellow members in a variety of courses.
they must train fellow members in a variety of courses. they must train fellow members in a variety of causes. they must train fellowmembers in a variety of courses. they must train fellow members in a variety of causes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they must train fellow members in a variety of courses', 'they must train fellow members in a variety of courses', 'they must train fellow members in a variety of causes', 'they must train fellowmembers in a variety of courses', 'they must train fellow members in a variety of causes']
[ "he also made constructions pottery and collage", "he also made constructions pottery and collage", "he also made constructions pottery and collage", "he also made construction pottery and collage", "he also made construction pottery and collage" ]
he also made constructions pottery and collage
he also made constructions pottery and collage.
he also made constructions pottery and collage. he also made constructions pottery and collage. he also made construction pottery and collage. he also made construction pottery and collage.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also made constructions pottery and collage', 'he also made constructions pottery and collage', 'he also made constructions pottery and collage', 'he also made construction pottery and collage', 'he also made construction pottery and collage']
[ "kill cool golf course and nine hole parkland course is also located near the village", "kill cool golf course and nine whole parkland course is also located near the village", "kill cool golf course and nine hole parkland course is also located near the village", "kill cool governor cause a nine hole parkland cause is also located near the village", "kill cool governor cause and nine whole parkland cause is also located near the village" ]
kilcoole golf course a nine hole parkland course is also located near the village
kill cool golf course and nine hole parkland course is also located near the village.
kill cool golf course and nine whole parkland course is also located near the village. kill cool golf course and nine hole parkland course is also located near the village. kill cool governor cause a nine hole parkland cause is also located near the village. kill cool governor cause and nine whole parkland cause is also located near the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kill cool golf course and nine hole parkland course is also located near the village', 'kill cool golf course and nine whole parkland course is also located near the village', 'kill cool golf course and nine hole parkland course is also located near the village', 'kill cool governor cause a nine hole parkland cause is also located near the village', 'kill cool governor cause and nine whole parkland cause is also located near the village']
[ "he was born at amethyst", "he was born at amethas", "he was born at amethus", "he was born at emmetus", "he was born at amatos" ]
he was born at amathus
he was born at amethyst.
he was born at amethas. he was born at amethus. he was born at emmetus. he was born at amatos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was born at amethyst', 'he was born at amethas', 'he was born at amethus', 'he was born at emmetus', 'he was born at amatos']
[ "those convicted were either flogged placed in stocks for a time or a hand", "those convicted were either flagged placed in stocks for a time or a hand", "those convicted were either flogged plays in stocks for a time or a hand", "those convicted were either flogged placed in stalks for a time or hand", "those convicted were either flogged place in stocks for a time or a hand" ]
those convicted were either flogged placed in stocks for a time or hanged
those convicted were either flogged placed in stocks for a time or a hand.
those convicted were either flagged placed in stocks for a time or a hand. those convicted were either flogged plays in stocks for a time or a hand. those convicted were either flogged placed in stalks for a time or hand. those convicted were either flogged place in stocks for a time or a hand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['those convicted were either flogged placed in stocks for a time or a hand', 'those convicted were either flagged placed in stocks for a time or a hand', 'those convicted were either flogged plays in stocks for a time or a hand', 'those convicted were either flogged placed in stalks for a time or hand', 'those convicted were either flogged place in stocks for a time or a hand']
[ "a sixth form was introduced", "a sixth form was introduced", "a sixth form was introduced", "a sixth form was introduced", "a sixth form was introduced" ]
a sixth form was introduced
a sixth form was introduced.
a sixth form was introduced. a sixth form was introduced. a sixth form was introduced. a sixth form was introduced.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a sixth form was introduced', 'a sixth form was introduced', 'a sixth form was introduced', 'a sixth form was introduced', 'a sixth form was introduced']
[ "kimball declares itself as the high point of nebraska", "kimball declares itself as the high point of nebraska", "kimbal declares itself as the high point of nebraska", "kimbals declares itself as the high point of nebraska", "kimbal declas itself as the high point of nebraska" ]
kimball declares itself as the the high point of nebraska
kimball declares itself as the high point of nebraska.
kimball declares itself as the high point of nebraska. kimbal declares itself as the high point of nebraska. kimbals declares itself as the high point of nebraska. kimbal declas itself as the high point of nebraska.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kimball declares itself as the high point of nebraska', 'kimball declares itself as the high point of nebraska', 'kimbal declares itself as the high point of nebraska', 'kimbals declares itself as the high point of nebraska', 'kimbal declas itself as the high point of nebraska']
[ "in lunar religious calendars i show them the events of the new moon after the autumn if not", "in lunar religious calendars i will show you the events of the new moon after the autumn if not", "in lunar religious calendars i share the events of the new moon after the autumn if not", "in lunar religious calendars i show you the events of the new moon after the autumn if not", "in lunar religious calendars i show them the events of the new moon after the autumn if announced" ]
in lunar religious calendars ashvin begins on the new moon after the autumn equinox
in lunar religious calendars i show them the events of the new moon after the autumn if not.
in lunar religious calendars i will show you the events of the new moon after the autumn if not. in lunar religious calendars i share the events of the new moon after the autumn if not. in lunar religious calendars i show you the events of the new moon after the autumn if not. in lunar religious calendars i show them the events of the new moon after the autumn if announced.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in lunar religious calendars i show them the events of the new moon after the autumn if not', 'in lunar religious calendars i will show you the events of the new moon after the autumn if not', 'in lunar religious calendars i share the events of the new moon after the autumn if not', 'in lunar religious calendars i show you the events of the new moon after the autumn if not', 'in lunar religious calendars i show them the events of the new moon after the autumn if announced']
[ "julia caesan tell us what we are outstanding historical writers of the carousel time", "julia caesan tell us what we are outstanding historical writers of the carer is time", "julia sees a sad last was we are outstanding historical writers of the carousel time", "julia sees a sad last was we are outstanding historical right is off to the carer is time", "julia sees and saw last was we are outstanding historical writers of the carousel time" ]
julius caesar and sallust were outstanding historical writers of cicero is time
julia caesan tell us what we are outstanding historical writers of the carousel time.
julia caesan tell us what we are outstanding historical writers of the carer is time. julia sees a sad last was we are outstanding historical writers of the carousel time. julia sees a sad last was we are outstanding historical right is off to the carer is time. julia sees and saw last was we are outstanding historical writers of the carousel time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['julia caesan tell us what we are outstanding historical writers of the carousel time', 'julia caesan tell us what we are outstanding historical writers of the carer is time', 'julia sees a sad last was we are outstanding historical writers of the carousel time', 'julia sees a sad last was we are outstanding historical right is off to the carer is time', 'julia sees and saw last was we are outstanding historical writers of the carousel time']
[ "power continues to make skateboard products including boons bearings and wheels", "powell continues to make skateboard products including boons bearings and wheels", "power continues to make skateboard products including boons bearings and wheels", "power continues to make skateboard products including bones bearings and wheels", "powell continues to make skateboard products including bones bearings and wheels" ]
powell continues to make skateboard products including bones bearings and wheels
power continues to make skateboard products including boons bearings and wheels.
powell continues to make skateboard products including boons bearings and wheels. power continues to make skateboard products including boons bearings and wheels. power continues to make skateboard products including bones bearings and wheels. powell continues to make skateboard products including bones bearings and wheels.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['power continues to make skateboard products including boons bearings and wheels', 'powell continues to make skateboard products including boons bearings and wheels', 'power continues to make skateboard products including boons bearings and wheels', 'power continues to make skateboard products including bones bearings and wheels', 'powell continues to make skateboard products including bones bearings and wheels']
[ "and then we shall go to bed our bed my dearest girl", "and then we shall go to bed our bed like dearest girl", "and then we shall go to bed our bed my dearest girl", "and then we shall go to bed our bed my dearest girl", "and then we shall go to bed our bed like dearest girl" ]
and then we shall go to bed our bed my dearest girl
and then we shall go to bed our bed my dearest girl.
and then we shall go to bed our bed like dearest girl. and then we shall go to bed our bed my dearest girl. and then we shall go to bed our bed my dearest girl. and then we shall go to bed our bed like dearest girl.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and then we shall go to bed our bed my dearest girl', 'and then we shall go to bed our bed like dearest girl', 'and then we shall go to bed our bed my dearest girl', 'and then we shall go to bed our bed my dearest girl', 'and then we shall go to bed our bed like dearest girl']
[ "the letters were included in the papers with which to the hebrew university", "the letters were included in the papers with speech to the hebrew university", "the letters were included in the papers which reached the hebrew university", "the letters were included in the papers which reached the hebrew university", "the letters were included in the papers which reached the hebrew university" ]
the letters were included in the papers bequeathed to the hebrew university
the letters were included in the papers with which to the hebrew university.
the letters were included in the papers with speech to the hebrew university. the letters were included in the papers which reached the hebrew university. the letters were included in the papers which reached the hebrew university. the letters were included in the papers which reached the hebrew university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the letters were included in the papers with which to the hebrew university', 'the letters were included in the papers with speech to the hebrew university', 'the letters were included in the papers which reached the hebrew university', 'the letters were included in the papers which reached the hebrew university', 'the letters were included in the papers which reached the hebrew university']
[ "they are mostly found on weakly electric fishers such as gymnautiforms and murmurids", "they are mostly found on weakly electric fishers such as gymnotiforms and murmurids", "they are mostly found on weakly electric fishers such as gymnautiforms and momerades", "they are mostly found on weakly electric fishes such as gymnautiforms and murmurids", "they are mostly found on weakly electric fishes such as gymnotiforms and murmurids" ]
they are mostly found on weakly electric fishes such as gymnotiforms and mormyrids
they are mostly found on weakly electric fishers such as gymnautiforms and murmurids.
they are mostly found on weakly electric fishers such as gymnotiforms and murmurids. they are mostly found on weakly electric fishers such as gymnautiforms and momerades. they are mostly found on weakly electric fishes such as gymnautiforms and murmurids. they are mostly found on weakly electric fishes such as gymnotiforms and murmurids.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are mostly found on weakly electric fishers such as gymnautiforms and murmurids', 'they are mostly found on weakly electric fishers such as gymnotiforms and murmurids', 'they are mostly found on weakly electric fishers such as gymnautiforms and momerades', 'they are mostly found on weakly electric fishes such as gymnautiforms and murmurids', 'they are mostly found on weakly electric fishes such as gymnotiforms and murmurids']
[ "sorenbladb is one of the things used for sorenbladb is tiny", "sorenblad b is one of the things used for sorenblad is tiny", "sorenbladb is one of the things used for sorenbladb is done", "so do not blame b is one of the things used for so do not be stingy", "sorenbladbe is one of the things used for sorenbladbe staying" ]
sudan black b is one of the dyes used for sudan staining
sorenbladb is one of the things used for sorenbladb is tiny.
sorenblad b is one of the things used for sorenblad is tiny. sorenbladb is one of the things used for sorenbladb is done. so do not blame b is one of the things used for so do not be stingy. sorenbladbe is one of the things used for sorenbladbe staying.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sorenbladb is one of the things used for sorenbladb is tiny', 'sorenblad b is one of the things used for sorenblad is tiny', 'sorenbladb is one of the things used for sorenbladb is done', 'so do not blame b is one of the things used for so do not be stingy', 'sorenbladbe is one of the things used for sorenbladbe staying']
[ "if i try to think of a home it is dead", "if i try to think of a home it is dead", "if i try to think of a home it is dead", "if i try to think of a home it is dead", "if i try to think of a home it is dead" ]
if i try to think of a home it is that
if i try to think of a home it is dead.
if i try to think of a home it is dead. if i try to think of a home it is dead. if i try to think of a home it is dead. if i try to think of a home it is dead.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['if i try to think of a home it is dead', 'if i try to think of a home it is dead', 'if i try to think of a home it is dead', 'if i try to think of a home it is dead', 'if i try to think of a home it is dead']
[ "four percent of the writings residents were jewish", "four percent of the writings residents were jewish", "four percent of the writings residents were jewish", "four percent of the writings residents were jewish", "four percent of the writings residents were jewish" ]
four percent of the riding is residents were jewish
four percent of the writings residents were jewish.
four percent of the writings residents were jewish. four percent of the writings residents were jewish. four percent of the writings residents were jewish. four percent of the writings residents were jewish.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['four percent of the writings residents were jewish', 'four percent of the writings residents were jewish', 'four percent of the writings residents were jewish', 'four percent of the writings residents were jewish', 'four percent of the writings residents were jewish']
[ "he then left the body and entered the precipice of total interpolation", "he then left the party at the end of the depressive race of total introversion", "he then left the party at the third depressive race of total introversion", "he then left the party at the third depressive race of total interrelations", "he then left the party at the end of the depressive race of total interrelations" ]
he then left the party and entered a depressive phase of total introversion
he then left the body and entered the precipice of total interpolation.
he then left the party at the end of the depressive race of total introversion. he then left the party at the third depressive race of total introversion. he then left the party at the third depressive race of total interrelations. he then left the party at the end of the depressive race of total interrelations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then left the body and entered the precipice of total interpolation', 'he then left the party at the end of the depressive race of total introversion', 'he then left the party at the third depressive race of total introversion', 'he then left the party at the third depressive race of total interrelations', 'he then left the party at the end of the depressive race of total interrelations']
[ "the commissioner of police spend over an hour is shoulder", "the commissioner of police spend over on art is shoulder", "the commissioner of police spend over a large shoulder", "the commissioner of police spend over on our shoulder", "the commissioner of police spent over an hour is shoulder" ]
the commissaire of police bent over hanaud is shoulder
the commissioner of police spend over an hour is shoulder.
the commissioner of police spend over on art is shoulder. the commissioner of police spend over a large shoulder. the commissioner of police spend over on our shoulder. the commissioner of police spent over an hour is shoulder.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the commissioner of police spend over an hour is shoulder', 'the commissioner of police spend over on art is shoulder', 'the commissioner of police spend over a large shoulder', 'the commissioner of police spend over on our shoulder', 'the commissioner of police spent over an hour is shoulder']
[ "the village had its own football club and the cricket club", "the village had its own football club and a cricket club", "the village had its own football club and the ticket club", "the village had its own football club and a ticket club", "the village had its own football club and the cricket club" ]
the village had its own football club and a cricket club
the village had its own football club and the cricket club.
the village had its own football club and a cricket club. the village had its own football club and the ticket club. the village had its own football club and a ticket club. the village had its own football club and the cricket club.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village had its own football club and the cricket club', 'the village had its own football club and a cricket club', 'the village had its own football club and the ticket club', 'the village had its own football club and a ticket club', 'the village had its own football club and the cricket club']
[ "cap died the following day", "cap died the following day", "cap died the following day", "cap died the following day", "see you in the next video" ]
kapp died the following day
cap died the following day.
cap died the following day. cap died the following day. cap died the following day. see you in the next video.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cap died the following day', 'cap died the following day', 'cap died the following day', 'cap died the following day', 'see you in the next video']
[ "younger sisters are also included as ogan lachlanat ogan of the morsmen", "younger sisters are also included as ogan lachlanat ogan of the norsmen", "young girls at work are also included as organ luchulamat or chem of the noresmum", "younger sisters are also included as organ luchulamat or chem of the noresmum", "younger fetra are also included as organ luchulamat or chem of the noresmum" ]
the younger futhark are also included as ogam lochlannach ogham of the norsemen
younger sisters are also included as ogan lachlanat ogan of the morsmen.
younger sisters are also included as ogan lachlanat ogan of the norsmen. young girls at work are also included as organ luchulamat or chem of the noresmum. younger sisters are also included as organ luchulamat or chem of the noresmum. younger fetra are also included as organ luchulamat or chem of the noresmum.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['younger sisters are also included as ogan lachlanat ogan of the morsmen', 'younger sisters are also included as ogan lachlanat ogan of the norsmen', 'young girls at work are also included as organ luchulamat or chem of the noresmum', 'younger sisters are also included as organ luchulamat or chem of the noresmum', 'younger fetra are also included as organ luchulamat or chem of the noresmum']
[ "at time the hospital was one of northern ontario is finest", "at time the hospital was one of northern ontario is finest", "at time the hospital was one of northern ontario is finest", "at time the hospital was one of northern ontario is finest", "at time the hospital was one of northern ontario is finest" ]
at the time the hospital was one of northern ontario is finest
at time the hospital was one of northern ontario is finest.
at time the hospital was one of northern ontario is finest. at time the hospital was one of northern ontario is finest. at time the hospital was one of northern ontario is finest. at time the hospital was one of northern ontario is finest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at time the hospital was one of northern ontario is finest', 'at time the hospital was one of northern ontario is finest', 'at time the hospital was one of northern ontario is finest', 'at time the hospital was one of northern ontario is finest', 'at time the hospital was one of northern ontario is finest']
[ "not bad not bad", "not bad not bad", "not bad not bad", "not bad not bad", "not bad not bad" ]
not bad not bad
not bad not bad.
not bad not bad. not bad not bad. not bad not bad. not bad not bad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not bad not bad', 'not bad not bad', 'not bad not bad', 'not bad not bad', 'not bad not bad']
[ "the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television", "the miniseries was produced by muse entertainment interprises for broadcast on lifetime television", "the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television", "the miniseries was produced by muse entertainment interprises for broadcast on lifetime television", "the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television" ]
the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television
the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television.
the miniseries was produced by muse entertainment interprises for broadcast on lifetime television. the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television. the miniseries was produced by muse entertainment interprises for broadcast on lifetime television. the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television', 'the miniseries was produced by muse entertainment interprises for broadcast on lifetime television', 'the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television', 'the miniseries was produced by muse entertainment interprises for broadcast on lifetime television', 'the miniseries was produced by muse entertainment enterprises for broadcast on lifetime television']
[ "albert was part of the army that besieged demon", "albert was part of the army the besieged demon", "albert was part of the army that besieged demon", "albert was part of the army that besieged demon", "albert was part of the army that besieged demon" ]
albert was a part of the army that besieged demmin
albert was part of the army that besieged demon.
albert was part of the army the besieged demon. albert was part of the army that besieged demon. albert was part of the army that besieged demon. albert was part of the army that besieged demon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['albert was part of the army that besieged demon', 'albert was part of the army the besieged demon', 'albert was part of the army that besieged demon', 'albert was part of the army that besieged demon', 'albert was part of the army that besieged demon']
[ "large channels have different origins", "large channels have different origin", "lots of channels have different origins", "larger channels have different origins", "lots of channels have different origin" ]
larger channels have a different origin
large channels have different origins.
large channels have different origin. lots of channels have different origins. larger channels have different origins. lots of channels have different origin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['large channels have different origins', 'large channels have different origin', 'lots of channels have different origins', 'larger channels have different origins', 'lots of channels have different origin']
[ "he was born in westbury new york", "he was born in west murray new york", "he was born in vestbury new york", "he was born in westworry new york", "he was born in westwurry new york" ]
he was born in westbury new york
he was born in westbury new york.
he was born in west murray new york. he was born in vestbury new york. he was born in westworry new york. he was born in westwurry new york.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was born in westbury new york', 'he was born in west murray new york', 'he was born in vestbury new york', 'he was born in westworry new york', 'he was born in westwurry new york']
[ "the estate covers and includes of woodland of parkland and of farmland", "the estate covers and includes of woodland of barbland and of farmland", "the estate covers and includes of woodland of barkland and of farmland", "the estate covers and includes of woodland of parkland and of farmland", "the estate covers and includes of woodland of porkland and of farmland" ]
the estate covers and includes of woodland of parkland and of farmland
the estate covers and includes of woodland of parkland and of farmland.
the estate covers and includes of woodland of barbland and of farmland. the estate covers and includes of woodland of barkland and of farmland. the estate covers and includes of woodland of parkland and of farmland. the estate covers and includes of woodland of porkland and of farmland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the estate covers and includes of woodland of parkland and of farmland', 'the estate covers and includes of woodland of barbland and of farmland', 'the estate covers and includes of woodland of barkland and of farmland', 'the estate covers and includes of woodland of parkland and of farmland', 'the estate covers and includes of woodland of porkland and of farmland']
[ "based on existing microsoft technology such as microsoft", "based on existing microsoft technology such as microsoft", "being maps is based on existing microsoft technology such as microsoft", "based on existing microsoft technologies such as microsoft", "based on existing microsoft technology such as microsoft" ]
bing maps was based on existing microsoft technologies such as microsoft mappoint and terraserver
based on existing microsoft technology such as microsoft.
based on existing microsoft technology such as microsoft. being maps is based on existing microsoft technology such as microsoft. based on existing microsoft technologies such as microsoft. based on existing microsoft technology such as microsoft.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['based on existing microsoft technology such as microsoft', 'based on existing microsoft technology such as microsoft', 'being maps is based on existing microsoft technology such as microsoft', 'based on existing microsoft technologies such as microsoft', 'based on existing microsoft technology such as microsoft']
[ "it is no longer the state forward to claim english perage after law abbeensess", "it is no longer a state forward to claim english perage after law abbeensess", "it is no longer a state forward to claim english perage after law abbeensess", "it is no longer a state forward to claim english perage after law abbeensess", "it is no longer a state forward to claim english perage after law of abuses" ]
it is no longer straightforward to claim english peerages after long abeyances
it is no longer the state forward to claim english perage after law abbeensess.
it is no longer a state forward to claim english perage after law abbeensess. it is no longer a state forward to claim english perage after law abbeensess. it is no longer a state forward to claim english perage after law abbeensess. it is no longer a state forward to claim english perage after law of abuses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is no longer the state forward to claim english perage after law abbeensess', 'it is no longer a state forward to claim english perage after law abbeensess', 'it is no longer a state forward to claim english perage after law abbeensess', 'it is no longer a state forward to claim english perage after law abbeensess', 'it is no longer a state forward to claim english perage after law of abuses']
[ "located in the lake country area of wakusha county", "located in the lake country area of wakusha county", "located in the lake country area of wakusa county", "located in the lake country area of wakusha county", "located in the lake country area of wakusha county" ]
located in the lake country area of waukesha county
located in the lake country area of wakusha county.
located in the lake country area of wakusha county. located in the lake country area of wakusa county. located in the lake country area of wakusha county. located in the lake country area of wakusha county.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['located in the lake country area of wakusha county', 'located in the lake country area of wakusha county', 'located in the lake country area of wakusa county', 'located in the lake country area of wakusha county', 'located in the lake country area of wakusha county']
[ "a tax break was also given to the most residents who suffered damage from daltrar", "attack sprake was also given to the most resident to suffer damage from daltrar", "a tax break was also given to the most residents who suffered damage from daltrar", "a tax break was also given to the most residents who suffered damage from daltra", "attack is break was also given to the most resident to suffer damage from daltrar" ]
a tax break was also given to most residents who suffered damage from delta
a tax break was also given to the most residents who suffered damage from daltrar.
attack sprake was also given to the most resident to suffer damage from daltrar. a tax break was also given to the most residents who suffered damage from daltrar. a tax break was also given to the most residents who suffered damage from daltra. attack is break was also given to the most resident to suffer damage from daltrar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a tax break was also given to the most residents who suffered damage from daltrar', 'attack sprake was also given to the most resident to suffer damage from daltrar', 'a tax break was also given to the most residents who suffered damage from daltrar', 'a tax break was also given to the most residents who suffered damage from daltra', 'attack is break was also given to the most resident to suffer damage from daltrar']
[ "his ancestors were of german polish descent who had assimilated into polish society", "his ancestors were of german polish descent who had assimilated into polish society", "his ancestors were of german polish descent who had assimilated into polish society", "his ancestors were of german polish descent who had assimilated into polish society", "his ancestors were of german polish descent who had assimilated into polish society" ]
his ancestors were of german polish descent who had assimilated into polish society
his ancestors were of german polish descent who had assimilated into polish society.
his ancestors were of german polish descent who had assimilated into polish society. his ancestors were of german polish descent who had assimilated into polish society. his ancestors were of german polish descent who had assimilated into polish society. his ancestors were of german polish descent who had assimilated into polish society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his ancestors were of german polish descent who had assimilated into polish society', 'his ancestors were of german polish descent who had assimilated into polish society', 'his ancestors were of german polish descent who had assimilated into polish society', 'his ancestors were of german polish descent who had assimilated into polish society', 'his ancestors were of german polish descent who had assimilated into polish society']
[ "saxation is almost never a simple transfer of wealth", "sexation is almost never a simple transfer of wealth", "taxation is almost never a simple transfer of wealth", "saxation is almost never simple transfer of wealth", "succession is almost never a simple transfer of wealth" ]
taxation is almost never a simple transfer of wealth
saxation is almost never a simple transfer of wealth.
sexation is almost never a simple transfer of wealth. taxation is almost never a simple transfer of wealth. saxation is almost never simple transfer of wealth. succession is almost never a simple transfer of wealth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['saxation is almost never a simple transfer of wealth', 'sexation is almost never a simple transfer of wealth', 'taxation is almost never a simple transfer of wealth', 'saxation is almost never simple transfer of wealth', 'succession is almost never a simple transfer of wealth']
[ "she helped in organizing her funeral even purchasing the coffin", "she helped in organizing her funeral even purchasing the coffin", "she helped in organizing her funeral even purchasing the coffin", "she helped in organizing her funeral even purchasing the coffin", "she helped in organizing her funeral even purchasing the coffin" ]
shew helped in organizing her funeral even purchasing the coffin
she helped in organizing her funeral even purchasing the coffin.
she helped in organizing her funeral even purchasing the coffin. she helped in organizing her funeral even purchasing the coffin. she helped in organizing her funeral even purchasing the coffin. she helped in organizing her funeral even purchasing the coffin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she helped in organizing her funeral even purchasing the coffin', 'she helped in organizing her funeral even purchasing the coffin', 'she helped in organizing her funeral even purchasing the coffin', 'she helped in organizing her funeral even purchasing the coffin', 'she helped in organizing her funeral even purchasing the coffin']
[ "it was named for its founder ebenezer morgan", "it was named for its founder ebenezer morgan", "it was named for its founder abinizur morgan", "it was named for its founder abinizur morgan", "it was named for its founder abhinizur morgan" ]
it was named for its founder ebenezer morgan
it was named for its founder ebenezer morgan.
it was named for its founder ebenezer morgan. it was named for its founder abinizur morgan. it was named for its founder abinizur morgan. it was named for its founder abhinizur morgan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was named for its founder ebenezer morgan', 'it was named for its founder ebenezer morgan', 'it was named for its founder abinizur morgan', 'it was named for its founder abinizur morgan', 'it was named for its founder abhinizur morgan']
[ "three years later he tried to adapt to a dead features code behind us", "three years later he graduated to a dead village called behind us", "three years later he provided up to a dead we just caught behind us", "three years later he graduated to a dead village caught behind us", "three years later he provided up to a dead features code behind us" ]
three years later he graduated to a daily feature called behind the news
three years later he tried to adapt to a dead features code behind us.
three years later he graduated to a dead village called behind us. three years later he provided up to a dead we just caught behind us. three years later he graduated to a dead village caught behind us. three years later he provided up to a dead features code behind us.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['three years later he tried to adapt to a dead features code behind us', 'three years later he graduated to a dead village called behind us', 'three years later he provided up to a dead we just caught behind us', 'three years later he graduated to a dead village caught behind us', 'three years later he provided up to a dead features code behind us']
[ "this report was the first that genuinely questioned the american hero", "this report was the first that genuinely question the american hero", "this report was the first that genuinely questioned the american heroine", "this report was the first that genuinely questioned the american earwall", "this report was the first that genuinely questioned the american hero" ]
his report was the first that genuinely questioned the american air war
this report was the first that genuinely questioned the american hero.
this report was the first that genuinely question the american hero. this report was the first that genuinely questioned the american heroine. this report was the first that genuinely questioned the american earwall. this report was the first that genuinely questioned the american hero.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this report was the first that genuinely questioned the american hero', 'this report was the first that genuinely question the american hero', 'this report was the first that genuinely questioned the american heroine', 'this report was the first that genuinely questioned the american earwall', 'this report was the first that genuinely questioned the american hero']
[ "is he going to have a stagnate for the bedding", "is he going to have a stagnate for the wedding", "is he going to have a stagnate for the budding", "is he going to have a stagnate for the badding", "is he going to be stagnated for the wedding" ]
is he going to have a stag night before the wedding
is he going to have a stagnate for the bedding.
is he going to have a stagnate for the wedding. is he going to have a stagnate for the budding. is he going to have a stagnate for the badding. is he going to be stagnated for the wedding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['is he going to have a stagnate for the bedding', 'is he going to have a stagnate for the wedding', 'is he going to have a stagnate for the budding', 'is he going to have a stagnate for the badding', 'is he going to be stagnated for the wedding']
[ "a person speaks at a protest on a college campus", "a person speaks in a protest on a college campus", "the person speaks at a protest on a college campus", "the person speaks at a protest on a college campus", "a person speaks in a protest on a college campus" ]
a person speaks at a protest on a college campus
a person speaks at a protest on a college campus.
a person speaks in a protest on a college campus. the person speaks at a protest on a college campus. the person speaks at a protest on a college campus. a person speaks in a protest on a college campus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a person speaks at a protest on a college campus', 'a person speaks in a protest on a college campus', 'the person speaks at a protest on a college campus', 'the person speaks at a protest on a college campus', 'a person speaks in a protest on a college campus']
[ "a street in hawaii his parents hometown is named after him", "a street in hawaii his parent is hometown is named after him", "a street in hawaii his parents home town is named after him", "a street in hawaii his parents hometown is named after him", "a street in hawaii his parents hometown is named after him" ]
a street in hawera his parent is home town is named after him
a street in hawaii his parents hometown is named after him.
a street in hawaii his parent is hometown is named after him. a street in hawaii his parents home town is named after him. a street in hawaii his parents hometown is named after him. a street in hawaii his parents hometown is named after him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a street in hawaii his parents hometown is named after him', 'a street in hawaii his parent is hometown is named after him', 'a street in hawaii his parents home town is named after him', 'a street in hawaii his parents hometown is named after him', 'a street in hawaii his parents hometown is named after him']
[ "there is no earth wire between the two", "there is no earth wire between the two", "there is no earth wire between the two", "there is no earth wire between the two", "there is no earth wire between the two" ]
there is no earth wire between the two
there is no earth wire between the two.
there is no earth wire between the two. there is no earth wire between the two. there is no earth wire between the two. there is no earth wire between the two.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there is no earth wire between the two', 'there is no earth wire between the two', 'there is no earth wire between the two', 'there is no earth wire between the two', 'there is no earth wire between the two']
[ "his father was a tailor and boss is work always depicted clothes in loving detail", "his father was a tailor and bosses work always depicted clothes in loving detail", "his father was a tailor and buses work always depicted clothes in loving detail", "his father was a tailor and bosses work always depicted clothes in loving detail", "his father was a tailor and buses work always depicted clothes in loving detail" ]
his father was a tailor and bosse is work always depicted clothes in loving detail
his father was a tailor and boss is work always depicted clothes in loving detail.
his father was a tailor and bosses work always depicted clothes in loving detail. his father was a tailor and buses work always depicted clothes in loving detail. his father was a tailor and bosses work always depicted clothes in loving detail. his father was a tailor and buses work always depicted clothes in loving detail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his father was a tailor and boss is work always depicted clothes in loving detail', 'his father was a tailor and bosses work always depicted clothes in loving detail', 'his father was a tailor and buses work always depicted clothes in loving detail', 'his father was a tailor and bosses work always depicted clothes in loving detail', 'his father was a tailor and buses work always depicted clothes in loving detail']
[ "these meetings became known as the norfolk congress", "these meetings became known as the north folk congress", "these meetings became known as the north folk congress", "these meetings became known as the north folk congress", "these meetings became known as the norfolk congress" ]
these meetings became known as the norfolk congress
these meetings became known as the norfolk congress.
these meetings became known as the north folk congress. these meetings became known as the north folk congress. these meetings became known as the north folk congress. these meetings became known as the norfolk congress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these meetings became known as the norfolk congress', 'these meetings became known as the north folk congress', 'these meetings became known as the north folk congress', 'these meetings became known as the north folk congress', 'these meetings became known as the norfolk congress']
[ "it is also found in sweden south africa scotland and new zealand", "it is also found in sweden south africa scotland and new zealand", "it is also fun sweden south africa scotland and new zealand", "it is also fun sweden south africa scotland and new zealand", "it is also found in sweden south africa scotland and new zealand" ]
it is also found in sweden south africa scotland and new zealand
it is also found in sweden south africa scotland and new zealand.
it is also found in sweden south africa scotland and new zealand. it is also fun sweden south africa scotland and new zealand. it is also fun sweden south africa scotland and new zealand. it is also found in sweden south africa scotland and new zealand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also found in sweden south africa scotland and new zealand', 'it is also found in sweden south africa scotland and new zealand', 'it is also fun sweden south africa scotland and new zealand', 'it is also fun sweden south africa scotland and new zealand', 'it is also found in sweden south africa scotland and new zealand']
[ "of course be then collared with ws who went crashing to the boards", "cursby then collared with ws who went crashing to the boards", "of course be then collado with ws who went crashing to the boards", "of course be then collarded with ws who went crashing to the boards", "of course be then collared with ws who went crashing to the boards" ]
crosby then collided with dupuis who went crashing to the boards
of course be then collared with ws who went crashing to the boards.
cursby then collared with ws who went crashing to the boards. of course be then collado with ws who went crashing to the boards. of course be then collarded with ws who went crashing to the boards. of course be then collared with ws who went crashing to the boards.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['of course be then collared with ws who went crashing to the boards', 'cursby then collared with ws who went crashing to the boards', 'of course be then collado with ws who went crashing to the boards', 'of course be then collarded with ws who went crashing to the boards', 'of course be then collared with ws who went crashing to the boards']
[ "bennett recited in cleveland ohio with his wife ruth ann", "bennett resided in cleveland ohio with his wife ruth ann", "bennett recited in cleveland ohio with his wife ruth ann", "bennett resided in cleveland ohio with his wife ruth ann", "bennet decided in cleveland ohio with his wife ruth ann" ]
bennett resided in cleveland ohio with his wife ruth ann
bennett recited in cleveland ohio with his wife ruth ann.
bennett resided in cleveland ohio with his wife ruth ann. bennett recited in cleveland ohio with his wife ruth ann. bennett resided in cleveland ohio with his wife ruth ann. bennet decided in cleveland ohio with his wife ruth ann.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bennett recited in cleveland ohio with his wife ruth ann', 'bennett resided in cleveland ohio with his wife ruth ann', 'bennett recited in cleveland ohio with his wife ruth ann', 'bennett resided in cleveland ohio with his wife ruth ann', 'bennet decided in cleveland ohio with his wife ruth ann']
[ "most presumar camp coders can record in progressive scan formats", "most presumer cam coders can record in progressive scan formats", "most presumar camp coders can record in progressive scan formats", "most prosumar cam coders can record in progressive scan formats", "most prozuma cam coders can record in progressive scan formats" ]
most prosumer camcorders can record in progressive scan formats
most presumar camp coders can record in progressive scan formats.
most presumer cam coders can record in progressive scan formats. most presumar camp coders can record in progressive scan formats. most prosumar cam coders can record in progressive scan formats. most prozuma cam coders can record in progressive scan formats.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most presumar camp coders can record in progressive scan formats', 'most presumer cam coders can record in progressive scan formats', 'most presumar camp coders can record in progressive scan formats', 'most prosumar cam coders can record in progressive scan formats', 'most prozuma cam coders can record in progressive scan formats']
[ "it cause makes numerous personal appearances in the chicago area", "it causes mixed numerous personal appearances in the chicago area", "it caused mixed numerous personal appearances in the chicago area", "because it makes numerous personal appearances in the chicago area", "because makes numerous personal appearances in the chicago area" ]
koz makes numerous personal appearances in the chicago area
it cause makes numerous personal appearances in the chicago area.
it causes mixed numerous personal appearances in the chicago area. it caused mixed numerous personal appearances in the chicago area. because it makes numerous personal appearances in the chicago area. because makes numerous personal appearances in the chicago area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it cause makes numerous personal appearances in the chicago area', 'it causes mixed numerous personal appearances in the chicago area', 'it caused mixed numerous personal appearances in the chicago area', 'because it makes numerous personal appearances in the chicago area', 'because makes numerous personal appearances in the chicago area']
[ "she also sat on the double u album the sacred show", "she also sat on the dopoyum album the sacred show", "she also sat on the depo u album the sacred show", "she also sat on the dupayu album the sacred show", "she also sat on the dopa u album the sacred show" ]
she also sang on the dopo yume album the secret show
she also sat on the double u album the sacred show.
she also sat on the dopoyum album the sacred show. she also sat on the depo u album the sacred show. she also sat on the dupayu album the sacred show. she also sat on the dopa u album the sacred show.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she also sat on the double u album the sacred show', 'she also sat on the dopoyum album the sacred show', 'she also sat on the depo u album the sacred show', 'she also sat on the dupayu album the sacred show', 'she also sat on the dopa u album the sacred show']
[ "whether you go we will catch you", "wherever you go we will catch you", "whether you go we will catch you", "wherever you go we will catch you", "whether you go we will catch you" ]
wherever you go we will catch you
whether you go we will catch you.
wherever you go we will catch you. whether you go we will catch you. wherever you go we will catch you. whether you go we will catch you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['whether you go we will catch you', 'wherever you go we will catch you', 'whether you go we will catch you', 'wherever you go we will catch you', 'whether you go we will catch you']
[ "the hasidic community of kuryash tosh is located within the city limits", "the hazardic community of kuryash tosh is located within the city limits", "the hasidic community of kuryash tosh is located within the syrian limits", "the hasidic community of kuryash tosh is located within the serialinets", "the hasidic community of kuryash tosh is located within the serialinets" ]
the hasidic community of kiryas tosh is located within the city limits
the hasidic community of kuryash tosh is located within the city limits.
the hazardic community of kuryash tosh is located within the city limits. the hasidic community of kuryash tosh is located within the syrian limits. the hasidic community of kuryash tosh is located within the serialinets. the hasidic community of kuryash tosh is located within the serialinets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the hasidic community of kuryash tosh is located within the city limits', 'the hazardic community of kuryash tosh is located within the city limits', 'the hasidic community of kuryash tosh is located within the syrian limits', 'the hasidic community of kuryash tosh is located within the serialinets', 'the hasidic community of kuryash tosh is located within the serialinets']
[ "it is bordered by mountains", "it is bordered by mountains", "it is bordered by mountains", "it is bordered by montains", "it is bordered by montanes" ]
it is bordered by mountains
it is bordered by mountains.
it is bordered by mountains. it is bordered by mountains. it is bordered by montains. it is bordered by montanes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is bordered by mountains', 'it is bordered by mountains', 'it is bordered by mountains', 'it is bordered by montains', 'it is bordered by montanes']
[ "then something starchy is added to thicken the juices", "then something starchy is added to thicken the juices", "then something is touchy is added to thicken the juices", "then something starts she is added to thicken the juices", "then something is starchy is added to thicken the juices" ]
then something starchy is added to thicken the juices
then something starchy is added to thicken the juices.
then something starchy is added to thicken the juices. then something is touchy is added to thicken the juices. then something starts she is added to thicken the juices. then something is starchy is added to thicken the juices.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['then something starchy is added to thicken the juices', 'then something starchy is added to thicken the juices', 'then something is touchy is added to thicken the juices', 'then something starts she is added to thicken the juices', 'then something is starchy is added to thicken the juices']
[ "they won gold in the team time trial event", "they won gold in the team time trial event", "they won gold in the team time trial event", "they will not go in the team time trial event", "they won gold in the team time trial event" ]
they won gold in the team time trial event
they won gold in the team time trial event.
they won gold in the team time trial event. they won gold in the team time trial event. they will not go in the team time trial event. they won gold in the team time trial event.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they won gold in the team time trial event', 'they won gold in the team time trial event', 'they won gold in the team time trial event', 'they will not go in the team time trial event', 'they won gold in the team time trial event']
[ "khudgarian is of armenian descent", "khudgarian is of a armenian descent", "khutgarian is of armenian descent", "khutgarian is of a armenian descent", "khudgarian is a armenian descent" ]
khoudgarian is of armenian descent
khudgarian is of armenian descent.
khudgarian is of a armenian descent. khutgarian is of armenian descent. khutgarian is of a armenian descent. khudgarian is a armenian descent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['khudgarian is of armenian descent', 'khudgarian is of a armenian descent', 'khutgarian is of armenian descent', 'khutgarian is of a armenian descent', 'khudgarian is a armenian descent']
[ "a number of puns and likes are located within the town", "a number of puns and likes allocated within the town", "number of puns and likes are located within the town", "a number of puns and likes located within the town", "number of puns and likes are located within the town" ]
a number of ponds and lakes are located within the town
a number of puns and likes are located within the town.
a number of puns and likes allocated within the town. number of puns and likes are located within the town. a number of puns and likes located within the town. number of puns and likes are located within the town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a number of puns and likes are located within the town', 'a number of puns and likes allocated within the town', 'number of puns and likes are located within the town', 'a number of puns and likes located within the town', 'number of puns and likes are located within the town']
[ "i humbly ask you pardon", "i humbly ask you pardon", "i humbley ask you pardon", "i humbly ask you pardon", "i humbly ask you pardon" ]
i humbly ask your pardon
i humbly ask you pardon.
i humbly ask you pardon. i humbley ask you pardon. i humbly ask you pardon. i humbly ask you pardon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i humbly ask you pardon', 'i humbly ask you pardon', 'i humbley ask you pardon', 'i humbly ask you pardon', 'i humbly ask you pardon']
[ "he succeeded roger abbott in both positions", "he succeeded roger abbot in both positions", "he succeeded roger abbiet in both positions", "he succeeded roger abbeyot in both positions", "he succeeded roger abbeyet in both positions" ]
he succeeded roger abiut in both positions
he succeeded roger abbott in both positions.
he succeeded roger abbot in both positions. he succeeded roger abbiet in both positions. he succeeded roger abbeyot in both positions. he succeeded roger abbeyet in both positions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he succeeded roger abbott in both positions', 'he succeeded roger abbot in both positions', 'he succeeded roger abbiet in both positions', 'he succeeded roger abbeyot in both positions', 'he succeeded roger abbeyet in both positions']
[ "the transmission brakes and steering were mechanically assisted with compressed air reducing driver fatigue", "the transmission brakes and steering were mechanically assisted with compressed air reduce in driver fatigue", "the transmission breaks and steering were mechanically assisted with compressed air reducing driver fatigue", "the transmission breaks and steering were mechanically assisted with compressed air reduce in driver fatigue", "the transmission brakes and steering were mechanically assisted with compressed air reduced in driver fatigue" ]
the transmission brakes and steering were mechanically assisted with compressed air reducing driver fatigue
the transmission brakes and steering were mechanically assisted with compressed air reducing driver fatigue.
the transmission brakes and steering were mechanically assisted with compressed air reduce in driver fatigue. the transmission breaks and steering were mechanically assisted with compressed air reducing driver fatigue. the transmission breaks and steering were mechanically assisted with compressed air reduce in driver fatigue. the transmission brakes and steering were mechanically assisted with compressed air reduced in driver fatigue.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the transmission brakes and steering were mechanically assisted with compressed air reducing driver fatigue', 'the transmission brakes and steering were mechanically assisted with compressed air reduce in driver fatigue', 'the transmission breaks and steering were mechanically assisted with compressed air reducing driver fatigue', 'the transmission breaks and steering were mechanically assisted with compressed air reduce in driver fatigue', 'the transmission brakes and steering were mechanically assisted with compressed air reduced in driver fatigue']
[ "you should now become a mathematician and discover toply it surfaces", "you should now become a mathematician and discover torque liity surfaces", "you should now become a mathematician and discover toplety surfaces", "you should now become a mathematician and discover toplity surfaces", "you should now become a mathematician and discover topicality surfaces" ]
eugenio became a mathematician and discovered togliatti surfaces
you should now become a mathematician and discover toply it surfaces.
you should now become a mathematician and discover torque liity surfaces. you should now become a mathematician and discover toplety surfaces. you should now become a mathematician and discover toplity surfaces. you should now become a mathematician and discover topicality surfaces.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you should now become a mathematician and discover toply it surfaces', 'you should now become a mathematician and discover torque liity surfaces', 'you should now become a mathematician and discover toplety surfaces', 'you should now become a mathematician and discover toplity surfaces', 'you should now become a mathematician and discover topicality surfaces']
[ "it is located along the open pass road into the angadine", "it is located along the orphan pass road into the angadine", "it is located along the orphaned pass road into the angadine", "it is located along the orphaned paths road into the angadine", "it is located along the open pass road into the angadine" ]
it is located along the ofen pass road into the engadine
it is located along the open pass road into the angadine.
it is located along the orphan pass road into the angadine. it is located along the orphaned pass road into the angadine. it is located along the orphaned paths road into the angadine. it is located along the open pass road into the angadine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is located along the open pass road into the angadine', 'it is located along the orphan pass road into the angadine', 'it is located along the orphaned pass road into the angadine', 'it is located along the orphaned paths road into the angadine', 'it is located along the open pass road into the angadine']
[ "these games challenge the player to press the right button at the right time", "these games challenge the player to press the right button at the right time", "these games challenge the player to press the right button at the right time", "these games challenge the player to press the right button at the right time", "these games challenge the player to press the right button at the right time" ]
these games challenge the player to press the right button at the right time
these games challenge the player to press the right button at the right time.
these games challenge the player to press the right button at the right time. these games challenge the player to press the right button at the right time. these games challenge the player to press the right button at the right time. these games challenge the player to press the right button at the right time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these games challenge the player to press the right button at the right time', 'these games challenge the player to press the right button at the right time', 'these games challenge the player to press the right button at the right time', 'these games challenge the player to press the right button at the right time', 'these games challenge the player to press the right button at the right time']
[ "sets however more so resembled those used by broadcast television stations", "sets however more so resemble those used by broadcast television stations", "sets however more so resembled those used by broadcast television stations", "sets however more so resemble those used by broadcast television stations", "sets however more so resemble those used by broadcast television stations" ]
sets however more so resembled those used by broadcast television stations
sets however more so resembled those used by broadcast television stations.
sets however more so resemble those used by broadcast television stations. sets however more so resembled those used by broadcast television stations. sets however more so resemble those used by broadcast television stations. sets however more so resemble those used by broadcast television stations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sets however more so resembled those used by broadcast television stations', 'sets however more so resemble those used by broadcast television stations', 'sets however more so resembled those used by broadcast television stations', 'sets however more so resemble those used by broadcast television stations', 'sets however more so resemble those used by broadcast television stations']
[ "in the senate castan was an outspoken conservative", "in this senate castan was an outspoken conservative", "in the senate casten was an outspoken conservative", "in the senate kastan was an outspoken conservative", "in this senet castan was an outspoken conservative" ]
in the senate kasten was an outspoken conservative
in the senate castan was an outspoken conservative.
in this senate castan was an outspoken conservative. in the senate casten was an outspoken conservative. in the senate kastan was an outspoken conservative. in this senet castan was an outspoken conservative.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the senate castan was an outspoken conservative', 'in this senate castan was an outspoken conservative', 'in the senate casten was an outspoken conservative', 'in the senate kastan was an outspoken conservative', 'in this senet castan was an outspoken conservative']
[ "land was born in houston and grew up in san diego", "land was born in houston and grew up in san diego", "land was born in houston and grew up in san diego", "land was born in houston and grew up in san diego", "land was born in houston and grew up in san diego" ]
land was born in houston and grew up in san diego
land was born in houston and grew up in san diego.
land was born in houston and grew up in san diego. land was born in houston and grew up in san diego. land was born in houston and grew up in san diego. land was born in houston and grew up in san diego.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['land was born in houston and grew up in san diego', 'land was born in houston and grew up in san diego', 'land was born in houston and grew up in san diego', 'land was born in houston and grew up in san diego', 'land was born in houston and grew up in san diego']
[ "interactive entries must include a copy of the printed book", "intractive entries must include a copy of the printed book", "interactive entries must include a copy of the printed book", "intractive entries must include a copy of the printed book", "interactive entries must include a copy of the printed book" ]
interactive entries must include a copy of the printed book
interactive entries must include a copy of the printed book.
intractive entries must include a copy of the printed book. interactive entries must include a copy of the printed book. intractive entries must include a copy of the printed book. interactive entries must include a copy of the printed book.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['interactive entries must include a copy of the printed book', 'intractive entries must include a copy of the printed book', 'interactive entries must include a copy of the printed book', 'intractive entries must include a copy of the printed book', 'interactive entries must include a copy of the printed book']
[ "a third elementary school rosa parks elementary school is in fresno", "a third elementary school rosa parks elementary school is in fresno", "a third elementary school rosa parks elementary school is in fresno", "a third elementary school rosa parks elementary school is in fresno", "threerd elementary school rosa parks elementary school is in fresno" ]
a third elementary school rosa parks elementary school is in fresno
a third elementary school rosa parks elementary school is in fresno.
a third elementary school rosa parks elementary school is in fresno. a third elementary school rosa parks elementary school is in fresno. a third elementary school rosa parks elementary school is in fresno. threerd elementary school rosa parks elementary school is in fresno.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a third elementary school rosa parks elementary school is in fresno', 'a third elementary school rosa parks elementary school is in fresno', 'a third elementary school rosa parks elementary school is in fresno', 'a third elementary school rosa parks elementary school is in fresno', 'threerd elementary school rosa parks elementary school is in fresno']
[ "we are now drowning in a flood of blood", "we are now drowning in a flood of blood", "we are now drowning in a flooded blood", "we are now drowning in a flutter blood", "we are now joining in a flood of blood" ]
we are now drowning in a flood of blood .
we are now drowning in a flood of blood.
we are now drowning in a flood of blood. we are now drowning in a flooded blood. we are now drowning in a flutter blood. we are now joining in a flood of blood.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['we are now drowning in a flood of blood', 'we are now drowning in a flood of blood', 'we are now drowning in a flooded blood', 'we are now drowning in a flutter blood', 'we are now joining in a flood of blood']
[ "this sim uses a hierarchical composition to create nested block diagrams", "this sim uses a hierarchical composition to create nested block backgrounds", "this sim uses a hierarchical composition to create nested clock diagrams", "this sim uses a hierarchical composition to create nested log backgrounds", "this sim uses a hierarchical composition to create nested clock backgrounds" ]
vissim uses a hierarchical composition to create nested block diagrams
this sim uses a hierarchical composition to create nested block diagrams.
this sim uses a hierarchical composition to create nested block backgrounds. this sim uses a hierarchical composition to create nested clock diagrams. this sim uses a hierarchical composition to create nested log backgrounds. this sim uses a hierarchical composition to create nested clock backgrounds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this sim uses a hierarchical composition to create nested block diagrams', 'this sim uses a hierarchical composition to create nested block backgrounds', 'this sim uses a hierarchical composition to create nested clock diagrams', 'this sim uses a hierarchical composition to create nested log backgrounds', 'this sim uses a hierarchical composition to create nested clock backgrounds']
[ "conceptual discussions also revolve around a precise definition of action in philosophy", "conceptual discussions also revolve around the precise definition of action in philosophy", "conceptual discussions also evolve around a precise definition of action in philosophy", "conceptual discussion also revolve around a precise definition of action in philosophy", "conceptual discussions also revolve around a precise definition of action in philosophy" ]
conceptual discussions also revolve around a precise definition of action in philosophy
conceptual discussions also revolve around a precise definition of action in philosophy.
conceptual discussions also revolve around the precise definition of action in philosophy. conceptual discussions also evolve around a precise definition of action in philosophy. conceptual discussion also revolve around a precise definition of action in philosophy. conceptual discussions also revolve around a precise definition of action in philosophy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['conceptual discussions also revolve around a precise definition of action in philosophy', 'conceptual discussions also revolve around the precise definition of action in philosophy', 'conceptual discussions also evolve around a precise definition of action in philosophy', 'conceptual discussion also revolve around a precise definition of action in philosophy', 'conceptual discussions also revolve around a precise definition of action in philosophy']
[ "tosser returned from world war one to his post as associate professor at harvard", "tosser returned from world war one to his post as associate professor at harvard", "tosser returned from world war one to his post as associate professor at harvard", "tosser returned from world war one to his post as associate professor at harvard", "tosser returned from world war one to his post as associate professor at harvard" ]
tozzer returned from world war one to his post as associate professor at harvard
tosser returned from world war one to his post as associate professor at harvard.
tosser returned from world war one to his post as associate professor at harvard. tosser returned from world war one to his post as associate professor at harvard. tosser returned from world war one to his post as associate professor at harvard. tosser returned from world war one to his post as associate professor at harvard.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tosser returned from world war one to his post as associate professor at harvard', 'tosser returned from world war one to his post as associate professor at harvard', 'tosser returned from world war one to his post as associate professor at harvard', 'tosser returned from world war one to his post as associate professor at harvard', 'tosser returned from world war one to his post as associate professor at harvard']
[ "it was possibly armored", "it was possibly armored", "it was possibly armored", "it was possible armored", "it was possibly armored" ]
it was possibly armored
it was possibly armored.
it was possibly armored. it was possibly armored. it was possible armored. it was possibly armored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was possibly armored', 'it was possibly armored', 'it was possibly armored', 'it was possible armored', 'it was possibly armored']
[ "what are the identifying features of a herring girl", "what are the identifying features of a herring girl", "what are the identifying features of a herring girl", "what are the identifying features of a herring girl", "what are the identifying features of a hairline girl" ]
what are the identifying features of a herring gull
what are the identifying features of a herring girl.
what are the identifying features of a herring girl. what are the identifying features of a herring girl. what are the identifying features of a herring girl. what are the identifying features of a hairline girl.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what are the identifying features of a herring girl', 'what are the identifying features of a herring girl', 'what are the identifying features of a herring girl', 'what are the identifying features of a herring girl', 'what are the identifying features of a hairline girl']
[ "according to the reviewer brent weiss the line drew derision from fans and critics alike", "according to the reviewer brett weiss the line drew derision from fans and critics alike", "according to the reviewer brett weiss the line drew derision from fans in critics alike", "according to the reviewer brett weiss the line drew derision from fans and critics alike", "according to the reviewer brent weiss the line drew derision from fans in critics alike" ]
according to reviewer brett weiss the line drew derision from fans and critics alike
according to the reviewer brent weiss the line drew derision from fans and critics alike.
according to the reviewer brett weiss the line drew derision from fans and critics alike. according to the reviewer brett weiss the line drew derision from fans in critics alike. according to the reviewer brett weiss the line drew derision from fans and critics alike. according to the reviewer brent weiss the line drew derision from fans in critics alike.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['according to the reviewer brent weiss the line drew derision from fans and critics alike', 'according to the reviewer brett weiss the line drew derision from fans and critics alike', 'according to the reviewer brett weiss the line drew derision from fans in critics alike', 'according to the reviewer brett weiss the line drew derision from fans and critics alike', 'according to the reviewer brent weiss the line drew derision from fans in critics alike']
[ "another strong group is animals", "another strong group is animals", "another strong group is animals", "another strong group of animals", "another strong group is animals" ]
another strong group is animals
another strong group is animals.
another strong group is animals. another strong group is animals. another strong group of animals. another strong group is animals.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another strong group is animals', 'another strong group is animals', 'another strong group is animals', 'another strong group of animals', 'another strong group is animals']
[ "krippled the kodwags record wall appears courtesy of london records", "krippled the kodwags record wall appears courtesy of london records", "krippled the kodwags record wall appears courtesy of london records", "krippledy kodwags record wall appears courtesy of london records", "krippled the kodwags record wall appears courtesy of london records" ]
crippled dick hot wax record wool appears courtesy of london records
krippled the kodwags record wall appears courtesy of london records.
krippled the kodwags record wall appears courtesy of london records. krippled the kodwags record wall appears courtesy of london records. krippledy kodwags record wall appears courtesy of london records. krippled the kodwags record wall appears courtesy of london records.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['krippled the kodwags record wall appears courtesy of london records', 'krippled the kodwags record wall appears courtesy of london records', 'krippled the kodwags record wall appears courtesy of london records', 'krippledy kodwags record wall appears courtesy of london records', 'krippled the kodwags record wall appears courtesy of london records']
[ "it heads east traversing the ado elephant national park", "it heads east traversing the ado elephant national park", "it heads east traversing the atu elephant national park", "it heads east traversing the adoo elephant national park", "it heads east traversing the addou elephant national park" ]
it heads east traversing the addo elephant national park
it heads east traversing the ado elephant national park.
it heads east traversing the ado elephant national park. it heads east traversing the atu elephant national park. it heads east traversing the adoo elephant national park. it heads east traversing the addou elephant national park.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it heads east traversing the ado elephant national park', 'it heads east traversing the ado elephant national park', 'it heads east traversing the atu elephant national park', 'it heads east traversing the adoo elephant national park', 'it heads east traversing the addou elephant national park']
[ "the group has a complex history with numerous name changes along the way", "the group has a complex history with numerous names and changes along the way", "the group has a complex history with numerous names and changes along the mid", "the group has a complex history with numerous name changes along the mid", "the group has a complex history with numerous names and changes along the mail" ]
the group has a complex history with numerous name changes along the way
the group has a complex history with numerous name changes along the way.
the group has a complex history with numerous names and changes along the way. the group has a complex history with numerous names and changes along the mid. the group has a complex history with numerous name changes along the mid. the group has a complex history with numerous names and changes along the mail.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the group has a complex history with numerous name changes along the way', 'the group has a complex history with numerous names and changes along the way', 'the group has a complex history with numerous names and changes along the mid', 'the group has a complex history with numerous name changes along the mid', 'the group has a complex history with numerous names and changes along the mail']
[ "mysterio after spider man for mansons infant", "mysterio after spider man for manson is infant", "mysterio after spider man for manson is effort", "mysterio of the spider man for mansons infant", "mysterio after spider man for manson is infant" ]
mysterio went after spider man for menace is infant
mysterio after spider man for mansons infant.
mysterio after spider man for manson is infant. mysterio after spider man for manson is effort. mysterio of the spider man for mansons infant. mysterio after spider man for manson is infant.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mysterio after spider man for mansons infant', 'mysterio after spider man for manson is infant', 'mysterio after spider man for manson is effort', 'mysterio of the spider man for mansons infant', 'mysterio after spider man for manson is infant']
[ "she also was tutored by a series of dancing instructors engaged by her aunt", "she also was tutored by a series of bands and instructors engaged by her aunt", "she also was tutored by a series of dancing instructors engaged by her and", "she also was tutored by a series of dashing instructors engaged by her aunt", "she also was tutored by a series of bands and instructors engaged by her and" ]
she also was tutored by a series of dancing instructors engaged by her aunt
she also was tutored by a series of dancing instructors engaged by her aunt.
she also was tutored by a series of bands and instructors engaged by her aunt. she also was tutored by a series of dancing instructors engaged by her and. she also was tutored by a series of dashing instructors engaged by her aunt. she also was tutored by a series of bands and instructors engaged by her and.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she also was tutored by a series of dancing instructors engaged by her aunt', 'she also was tutored by a series of bands and instructors engaged by her aunt', 'she also was tutored by a series of dancing instructors engaged by her and', 'she also was tutored by a series of dashing instructors engaged by her aunt', 'she also was tutored by a series of bands and instructors engaged by her and']
[ "this has been my long standing position and it is not being reviewed or reconsidered", "this has been my long standing position and it is not being reviewed or reconsidered", "this has been my long standing position and it is not being reviewed or reconsidered", "this has been my long standing position and it is not being reviewed or reconsidered", "this has been my long standing position and it is not being reviewed or reconsidered" ]
this has been my long standing position and it is not being reviewed or reconsidered
this has been my long standing position and it is not being reviewed or reconsidered.
this has been my long standing position and it is not being reviewed or reconsidered. this has been my long standing position and it is not being reviewed or reconsidered. this has been my long standing position and it is not being reviewed or reconsidered. this has been my long standing position and it is not being reviewed or reconsidered.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this has been my long standing position and it is not being reviewed or reconsidered', 'this has been my long standing position and it is not being reviewed or reconsidered', 'this has been my long standing position and it is not being reviewed or reconsidered', 'this has been my long standing position and it is not being reviewed or reconsidered', 'this has been my long standing position and it is not being reviewed or reconsidered']
[ "the station has two platforms connected by a food bridge", "the station has two platforms connected by a foot bridge", "the station has two platforms connected by a food bridge", "the station has two platforms connected by a foot bridge", "the station has two platforms connected by a footbridge" ]
the station has two platforms connected by a footbridge
the station has two platforms connected by a food bridge.
the station has two platforms connected by a foot bridge. the station has two platforms connected by a food bridge. the station has two platforms connected by a foot bridge. the station has two platforms connected by a footbridge.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the station has two platforms connected by a food bridge', 'the station has two platforms connected by a foot bridge', 'the station has two platforms connected by a food bridge', 'the station has two platforms connected by a foot bridge', 'the station has two platforms connected by a footbridge']