hypothesis
listlengths
5
5
transcription
stringlengths
2
920
input1
stringlengths
3
1.18k
hypothesis_concatenated
stringlengths
15
5.37k
source
stringclasses
8 values
id
stringclasses
0 values
dummy_str
stringclasses
1 value
dummy_list
listlengths
0
0
prompt
stringlengths
138
6.25k
[ "her marriages to the actor roland carver and doctor john jones is her result", "her marriages to the actor roland carver and doctor john jo is her result", "her marriages to the actor roland carver and doctor johnson is her result", "her marriages to the actor roland carver and doctor john joseph is her result", "her marriages to the actor roland colwell and doctor john jones is her result" ]
her marriages to the actor roland culver and doctor john janvrin were dissolved
her marriages to the actor roland carver and doctor john jones is her result.
her marriages to the actor roland carver and doctor john jo is her result. her marriages to the actor roland carver and doctor johnson is her result. her marriages to the actor roland carver and doctor john joseph is her result. her marriages to the actor roland colwell and doctor john jones is her result.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her marriages to the actor roland carver and doctor john jones is her result', 'her marriages to the actor roland carver and doctor john jo is her result', 'her marriages to the actor roland carver and doctor johnson is her result', 'her marriages to the actor roland carver and doctor john joseph is her result', 'her marriages to the actor roland colwell and doctor john jones is her result']
[ "from thirty-two about eight people would attend the daily sessions", "from three to about eight people would attend the daily sessions", "from thirty-two about eight people would attend the daily sessions", "from three to eight people would attend the daily sessions", "from three to about eight people would attend the daily sessions" ]
from three to about eight people would attend the daily sessions
from thirty-two about eight people would attend the daily sessions.
from three to about eight people would attend the daily sessions. from thirty-two about eight people would attend the daily sessions. from three to eight people would attend the daily sessions. from three to about eight people would attend the daily sessions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from thirty-two about eight people would attend the daily sessions', 'from three to about eight people would attend the daily sessions', 'from thirty-two about eight people would attend the daily sessions', 'from three to eight people would attend the daily sessions', 'from three to about eight people would attend the daily sessions']
[ "a lady and her little girl are holding hands and walking up the sidewalk", "a lady and her little girl are holding hands and walking up the sidewalk", "a lady and her little girl are holding hands and walking up the sidewalk", "a lady and her little girl are holding hands and walking up the sidewalk", "a lady and her little girl are holding hands and walking up the sidewalk" ]
a lady and her little girl are holding hands and walking up the sidewalk
a lady and her little girl are holding hands and walking up the sidewalk.
a lady and her little girl are holding hands and walking up the sidewalk. a lady and her little girl are holding hands and walking up the sidewalk. a lady and her little girl are holding hands and walking up the sidewalk. a lady and her little girl are holding hands and walking up the sidewalk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a lady and her little girl are holding hands and walking up the sidewalk', 'a lady and her little girl are holding hands and walking up the sidewalk', 'a lady and her little girl are holding hands and walking up the sidewalk', 'a lady and her little girl are holding hands and walking up the sidewalk', 'a lady and her little girl are holding hands and walking up the sidewalk']
[ "he was sentenced to four months periodic tension", "he was sentenced to four months periodic tension", "he was sentenced to four months periodic detention", "he was sentenced to four months periodic attention", "he was sentenced to four months through your attention" ]
he was sentenced to four months periodic detention
he was sentenced to four months periodic tension.
he was sentenced to four months periodic tension. he was sentenced to four months periodic detention. he was sentenced to four months periodic attention. he was sentenced to four months through your attention.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was sentenced to four months periodic tension', 'he was sentenced to four months periodic tension', 'he was sentenced to four months periodic detention', 'he was sentenced to four months periodic attention', 'he was sentenced to four months through your attention']
[ "the jaweshwari caves are located in the eastern part of jaweshwari", "the jowishwari caves are located in the eastern part of jowishwari", "the jawishwari caves are located in the eastern part of jawishwari", "the jaweshwari caves are located in the eastern part of jaweshwari", "the jaweshwari caves are located in the eastern part of the jaweshwari" ]
the jogeshwari caves are located in the eastern part of jogeshwari
the jaweshwari caves are located in the eastern part of jaweshwari.
the jowishwari caves are located in the eastern part of jowishwari. the jawishwari caves are located in the eastern part of jawishwari. the jaweshwari caves are located in the eastern part of jaweshwari. the jaweshwari caves are located in the eastern part of the jaweshwari.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the jaweshwari caves are located in the eastern part of jaweshwari', 'the jowishwari caves are located in the eastern part of jowishwari', 'the jawishwari caves are located in the eastern part of jawishwari', 'the jaweshwari caves are located in the eastern part of jaweshwari', 'the jaweshwari caves are located in the eastern part of the jaweshwari']
[ "after the talks in brussels failed the tensions in the area grew", "after the talks in brazil is failed the tensions in the area grew", "after the talks in brazil is failed the tensions in the area grew", "after the talks in brussels failed the tensions in the area grew", "after the talks in brazil is failed the tensions in the area grew" ]
after the talks in brussels failed the tensions in the area grew
after the talks in brussels failed the tensions in the area grew.
after the talks in brazil is failed the tensions in the area grew. after the talks in brazil is failed the tensions in the area grew. after the talks in brussels failed the tensions in the area grew. after the talks in brazil is failed the tensions in the area grew.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after the talks in brussels failed the tensions in the area grew', 'after the talks in brazil is failed the tensions in the area grew', 'after the talks in brazil is failed the tensions in the area grew', 'after the talks in brussels failed the tensions in the area grew', 'after the talks in brazil is failed the tensions in the area grew']
[ "northfield park race track a harness racing track is located in the village", "northfield park race track a harness racing track is located in the village", "northfield park race track a harness racing track is located in the village", "northfield park race track a harness racing track is located in the village", "northfield park race track a harness racing track is located in the village" ]
northfield park race track a harness racing race track is located in the village
northfield park race track a harness racing track is located in the village.
northfield park race track a harness racing track is located in the village. northfield park race track a harness racing track is located in the village. northfield park race track a harness racing track is located in the village. northfield park race track a harness racing track is located in the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['northfield park race track a harness racing track is located in the village', 'northfield park race track a harness racing track is located in the village', 'northfield park race track a harness racing track is located in the village', 'northfield park race track a harness racing track is located in the village', 'northfield park race track a harness racing track is located in the village']
[ "what since that ties are often political in nature", "what since their ties are often political in nature", "what since that ties are often political nature", "what since that size are often political in nature", "what since allies are often political in nature" ]
watson is satires are often political in nature
what since that ties are often political in nature.
what since their ties are often political in nature. what since that ties are often political nature. what since that size are often political in nature. what since allies are often political in nature.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what since that ties are often political in nature', 'what since their ties are often political in nature', 'what since that ties are often political nature', 'what since that size are often political in nature', 'what since allies are often political in nature']
[ "imperial general headquarters comprised army and navy sections", "imperial general headquarters comprised army and navy sections", "imperial general headquarters comprised army and navy sections", "imperial general headquarters comprised army and navy sections", "imperial general headquarters comprised army and navy sections" ]
imperial general headquarters comprised army and navy sections
imperial general headquarters comprised army and navy sections.
imperial general headquarters comprised army and navy sections. imperial general headquarters comprised army and navy sections. imperial general headquarters comprised army and navy sections. imperial general headquarters comprised army and navy sections.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['imperial general headquarters comprised army and navy sections', 'imperial general headquarters comprised army and navy sections', 'imperial general headquarters comprised army and navy sections', 'imperial general headquarters comprised army and navy sections', 'imperial general headquarters comprised army and navy sections']
[ "the township surrounds the borough of north east a separate municipality", "the township surrounds the borough of north east a separate municipality", "the township surrounds the barra of north east a separate municipality", "the township surrounds the borough of northeast a separate municipality", "the township surrounds the barra of north east a separate municipality" ]
the township surrounds the borough of north east a separate municipality
the township surrounds the borough of north east a separate municipality.
the township surrounds the borough of north east a separate municipality. the township surrounds the barra of north east a separate municipality. the township surrounds the borough of northeast a separate municipality. the township surrounds the barra of north east a separate municipality.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the township surrounds the borough of north east a separate municipality', 'the township surrounds the borough of north east a separate municipality', 'the township surrounds the barra of north east a separate municipality', 'the township surrounds the borough of northeast a separate municipality', 'the township surrounds the barra of north east a separate municipality']
[ "the goods yard included a shed a dog and a tree dung crane", "the goods yard included a shed a dog and a tree tongue crane", "the goods yard included a shed a dog and a tree dung crane", "the goods yard included a shed a dog and a tree tongue crane", "the goods are included a shed a dog and a tree tongue crane" ]
the goods yard included a shed a dock and a three ton crane
the goods yard included a shed a dog and a tree dung crane.
the goods yard included a shed a dog and a tree tongue crane. the goods yard included a shed a dog and a tree dung crane. the goods yard included a shed a dog and a tree tongue crane. the goods are included a shed a dog and a tree tongue crane.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the goods yard included a shed a dog and a tree dung crane', 'the goods yard included a shed a dog and a tree tongue crane', 'the goods yard included a shed a dog and a tree dung crane', 'the goods yard included a shed a dog and a tree tongue crane', 'the goods are included a shed a dog and a tree tongue crane']
[ "the athletics beat the cops decisively in five games", "the athletics beat the cops decisively in five games", "the athletics beat the cops decisively in five games", "that let it speed the cops decisively in five games", "that let it speed the cops decisively in five games" ]
the athletics beat the cubs decisively in five games
the athletics beat the cops decisively in five games.
the athletics beat the cops decisively in five games. the athletics beat the cops decisively in five games. that let it speed the cops decisively in five games. that let it speed the cops decisively in five games.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the athletics beat the cops decisively in five games', 'the athletics beat the cops decisively in five games', 'the athletics beat the cops decisively in five games', 'that let it speed the cops decisively in five games', 'that let it speed the cops decisively in five games']
[ "accepting of office of profit under the crown vacants the members seat", "accepting of office of profit under the crown vacants the member seat", "accepting of office of profit under the crown vacants the member seat", "accepting of office of profit under the crown vacants the members seat", "accepting of office of profit under the crown vacans the members seat" ]
accepting an office of profit under the crown vacates the member is seat
accepting of office of profit under the crown vacants the members seat.
accepting of office of profit under the crown vacants the member seat. accepting of office of profit under the crown vacants the member seat. accepting of office of profit under the crown vacants the members seat. accepting of office of profit under the crown vacans the members seat.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['accepting of office of profit under the crown vacants the members seat', 'accepting of office of profit under the crown vacants the member seat', 'accepting of office of profit under the crown vacants the member seat', 'accepting of office of profit under the crown vacants the members seat', 'accepting of office of profit under the crown vacans the members seat']
[ "the objectivity of the analysis departs from moral considerations and moralistic views", "the objectivity of the analysis departs for moral considerations and moralistic views", "the objectivity of the analysis departs from moral considerations and moralistic views", "the objectivity of the analysis departs from moral considerations and moralistic views", "the objectivity of the analysis depends on moral considerations and moralistic views" ]
the objectivity of the analysis departs from moral considerations and moralistic views
the objectivity of the analysis departs from moral considerations and moralistic views.
the objectivity of the analysis departs for moral considerations and moralistic views. the objectivity of the analysis departs from moral considerations and moralistic views. the objectivity of the analysis departs from moral considerations and moralistic views. the objectivity of the analysis depends on moral considerations and moralistic views.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the objectivity of the analysis departs from moral considerations and moralistic views', 'the objectivity of the analysis departs for moral considerations and moralistic views', 'the objectivity of the analysis departs from moral considerations and moralistic views', 'the objectivity of the analysis departs from moral considerations and moralistic views', 'the objectivity of the analysis depends on moral considerations and moralistic views']
[ "it was distributed by its own level top dot records", "it was distributed by its own level top doc records", "it was distributed by its own level top doc records", "it was distributed by its own label top doc records", "it was distributed by its own label top doc records" ]
it was distributed by his own label top dog records
it was distributed by its own level top dot records.
it was distributed by its own level top doc records. it was distributed by its own level top doc records. it was distributed by its own label top doc records. it was distributed by its own label top doc records.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was distributed by its own level top dot records', 'it was distributed by its own level top doc records', 'it was distributed by its own level top doc records', 'it was distributed by its own label top doc records', 'it was distributed by its own label top doc records']
[ "each reader assigns a grade of satisfactory or unsatisfactory to each essay question", "each reader assigns a grade of satisfactory or unsatisfactory to each essay question", "each reader assigns a grade of satisfactory or unsatisfactory to each essay question", "each reader assigns a grade of satisfactory or unsatisfactory to each essay question", "each reader assigns a grade of satisfactory or unsatisfactory to each essay question" ]
each reader assigns a grade of satisfactory or unsatisfactory to each essay question
each reader assigns a grade of satisfactory or unsatisfactory to each essay question.
each reader assigns a grade of satisfactory or unsatisfactory to each essay question. each reader assigns a grade of satisfactory or unsatisfactory to each essay question. each reader assigns a grade of satisfactory or unsatisfactory to each essay question. each reader assigns a grade of satisfactory or unsatisfactory to each essay question.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each reader assigns a grade of satisfactory or unsatisfactory to each essay question', 'each reader assigns a grade of satisfactory or unsatisfactory to each essay question', 'each reader assigns a grade of satisfactory or unsatisfactory to each essay question', 'each reader assigns a grade of satisfactory or unsatisfactory to each essay question', 'each reader assigns a grade of satisfactory or unsatisfactory to each essay question']
[ "he is interred at brushwood cemetery in doubly", "he is interred at brushwood cemetery in doubly", "here is interred at brushwood cemetery in doubly", "he is interned at brushwood cemetery in doubly", "he is interred at brushwood cemeteries in doubly" ]
he is interred at brushwood cemetery in dubberly
he is interred at brushwood cemetery in doubly.
he is interred at brushwood cemetery in doubly. here is interred at brushwood cemetery in doubly. he is interned at brushwood cemetery in doubly. he is interred at brushwood cemeteries in doubly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is interred at brushwood cemetery in doubly', 'he is interred at brushwood cemetery in doubly', 'here is interred at brushwood cemetery in doubly', 'he is interned at brushwood cemetery in doubly', 'he is interred at brushwood cemeteries in doubly']
[ "she showed early artistic talent", "she showed early artistic talent", "she showed early artistic talent", "she showed early artistic talent", "she showed early artistic talent" ]
she showed early artistic talent
she showed early artistic talent.
she showed early artistic talent. she showed early artistic talent. she showed early artistic talent. she showed early artistic talent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she showed early artistic talent', 'she showed early artistic talent', 'she showed early artistic talent', 'she showed early artistic talent', 'she showed early artistic talent']
[ "she does not live in her electorate but in neighboring batman", "she does not live in her electorate but in neighboring batman", "she does not live in her electorate but in neighboring batman", "she does not live in her electorate but in neighboring batman", "she does not live in her electorate but in neighboring batman" ]
she does not live in her electorate but in neighboring batman
she does not live in her electorate but in neighboring batman.
she does not live in her electorate but in neighboring batman. she does not live in her electorate but in neighboring batman. she does not live in her electorate but in neighboring batman. she does not live in her electorate but in neighboring batman.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she does not live in her electorate but in neighboring batman', 'she does not live in her electorate but in neighboring batman', 'she does not live in her electorate but in neighboring batman', 'she does not live in her electorate but in neighboring batman', 'she does not live in her electorate but in neighboring batman']
[ "all me was born into a family of means in expert messages", "all me was born into a family of means enough spurred messages", "all me was born into a family of means in of spurred messages", "only was born into a family of means in expert messages", "all me was born into a family of means enough spurt messages" ]
olney was born into a family of means in oxford massachusetts
all me was born into a family of means in expert messages.
all me was born into a family of means enough spurred messages. all me was born into a family of means in of spurred messages. only was born into a family of means in expert messages. all me was born into a family of means enough spurt messages.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all me was born into a family of means in expert messages', 'all me was born into a family of means enough spurred messages', 'all me was born into a family of means in of spurred messages', 'only was born into a family of means in expert messages', 'all me was born into a family of means enough spurt messages']
[ "certain portions of champoline is works were edited by chakras and published post missile", "certain portions of chamberlain is works were edited by chakras and published post missile", "certain portions of chamberlain is works were edited by jackwise and published post missile", "certain portions of champoline is works were editor by chakras and published post missile", "certain portions of champolines works were edited by chakras and published post missile" ]
certain portions of champollion is works were edited by jacques and published posthumously
certain portions of champoline is works were edited by chakras and published post missile.
certain portions of chamberlain is works were edited by chakras and published post missile. certain portions of chamberlain is works were edited by jackwise and published post missile. certain portions of champoline is works were editor by chakras and published post missile. certain portions of champolines works were edited by chakras and published post missile.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['certain portions of champoline is works were edited by chakras and published post missile', 'certain portions of chamberlain is works were edited by chakras and published post missile', 'certain portions of chamberlain is works were edited by jackwise and published post missile', 'certain portions of champoline is works were editor by chakras and published post missile', 'certain portions of champolines works were edited by chakras and published post missile']
[ "also included by some geographers are the islands of chios and lesbos", "also included by some geographies are the islands of chios and lesbos", "also included by some geographers are the islands of chios and lesbos", "also included by some geographers are the islands of chios and lesbos", "also included by some geographies are the islands of chios and lesbos" ]
also included by some geographers are the islands of chios and lesbos
also included by some geographers are the islands of chios and lesbos.
also included by some geographies are the islands of chios and lesbos. also included by some geographers are the islands of chios and lesbos. also included by some geographers are the islands of chios and lesbos. also included by some geographies are the islands of chios and lesbos.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['also included by some geographers are the islands of chios and lesbos', 'also included by some geographies are the islands of chios and lesbos', 'also included by some geographers are the islands of chios and lesbos', 'also included by some geographers are the islands of chios and lesbos', 'also included by some geographies are the islands of chios and lesbos']
[ "besides suna counted as nomative moral law", "besides soon accounted as nomative moral law", "besides suna countered his nomative moral law", "besides suna countered his normative moral law", "besides suna countered his nomative moral law" ]
besides sunnah counted as normative moral law
besides suna counted as nomative moral law.
besides soon accounted as nomative moral law. besides suna countered his nomative moral law. besides suna countered his normative moral law. besides suna countered his nomative moral law.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['besides suna counted as nomative moral law', 'besides soon accounted as nomative moral law', 'besides suna countered his nomative moral law', 'besides suna countered his normative moral law', 'besides suna countered his nomative moral law']
[ "there was still a necessity of designating the alder", "there was still a necessity of designating the elder", "there was still a necessity of designating the altar", "there was still a necessity of designating the alder", "there was still a necessity of designating the aldar" ]
there was still a necessity of designating the elder
there was still a necessity of designating the alder.
there was still a necessity of designating the elder. there was still a necessity of designating the altar. there was still a necessity of designating the alder. there was still a necessity of designating the aldar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there was still a necessity of designating the alder', 'there was still a necessity of designating the elder', 'there was still a necessity of designating the altar', 'there was still a necessity of designating the alder', 'there was still a necessity of designating the aldar']
[ "the village is on the southern east shore of white bay lake", "the village is on the southern east shore of whitebeard lake", "the village is on the south end east shore of white bay lake", "the village is on the southern east shore of whitebeall lake", "the village is on the southern east shore of whitebeall lake" ]
the village is on the south and east shore of white bear lake
the village is on the southern east shore of white bay lake.
the village is on the southern east shore of whitebeard lake. the village is on the south end east shore of white bay lake. the village is on the southern east shore of whitebeall lake. the village is on the southern east shore of whitebeall lake.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the village is on the southern east shore of white bay lake', 'the village is on the southern east shore of whitebeard lake', 'the village is on the south end east shore of white bay lake', 'the village is on the southern east shore of whitebeall lake', 'the village is on the southern east shore of whitebeall lake']
[ "shreveport is a major medical center of the region and state", "shreveport is a major medical center of the region and state", "shreveport is a major medical center of the region and state", "shrevaport is a major medical center of the region and state", "shreveport is a major medical center of the region and state" ]
shreveport is a major medical center of the region and state
shreveport is a major medical center of the region and state.
shreveport is a major medical center of the region and state. shreveport is a major medical center of the region and state. shrevaport is a major medical center of the region and state. shreveport is a major medical center of the region and state.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shreveport is a major medical center of the region and state', 'shreveport is a major medical center of the region and state', 'shreveport is a major medical center of the region and state', 'shrevaport is a major medical center of the region and state', 'shreveport is a major medical center of the region and state']
[ "he asserts their simplistic sloganering which pandas to disaffected americans is destroying political discourse", "he asserts their simplistic sloganeering which pandas to disaffected americans is destroying political discourse", "he asserts their simplistic sloganering which panders to disaffected americans is destroying political discourse", "he asserts their simplistic sloganeering which panders to disaffected americans is destroying political discourse", "he asserts their simplistic sloganaering which pandas to disaffected americans is destroying political discourse" ]
he asserts their simplistic sloganeering which panders to disaffected americans is destroying political discourse
he asserts their simplistic sloganering which pandas to disaffected americans is destroying political discourse.
he asserts their simplistic sloganeering which pandas to disaffected americans is destroying political discourse. he asserts their simplistic sloganering which panders to disaffected americans is destroying political discourse. he asserts their simplistic sloganeering which panders to disaffected americans is destroying political discourse. he asserts their simplistic sloganaering which pandas to disaffected americans is destroying political discourse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he asserts their simplistic sloganering which pandas to disaffected americans is destroying political discourse', 'he asserts their simplistic sloganeering which pandas to disaffected americans is destroying political discourse', 'he asserts their simplistic sloganering which panders to disaffected americans is destroying political discourse', 'he asserts their simplistic sloganeering which panders to disaffected americans is destroying political discourse', 'he asserts their simplistic sloganaering which pandas to disaffected americans is destroying political discourse']
[ "i am thinking that not much has really changed", "i am thinking that not much has really changed", "i am thinking that not much has really changed", "i am thinking that not much has really changed", "i am thinking that not much has really changed" ]
i am thinking that not much has really changed
i am thinking that not much has really changed.
i am thinking that not much has really changed. i am thinking that not much has really changed. i am thinking that not much has really changed. i am thinking that not much has really changed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am thinking that not much has really changed', 'i am thinking that not much has really changed', 'i am thinking that not much has really changed', 'i am thinking that not much has really changed', 'i am thinking that not much has really changed']
[ "bach has been characterized as a c type asteroid", "bach has been characterized as a c type asteroid", "bach has been characterized as a c type asteroid", "bach has been characterized as a c type asteroid", "bach has been characterized as a sea type asteroid" ]
bok has been characterized as a c type asteroid
bach has been characterized as a c type asteroid.
bach has been characterized as a c type asteroid. bach has been characterized as a c type asteroid. bach has been characterized as a c type asteroid. bach has been characterized as a sea type asteroid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bach has been characterized as a c type asteroid', 'bach has been characterized as a c type asteroid', 'bach has been characterized as a c type asteroid', 'bach has been characterized as a c type asteroid', 'bach has been characterized as a sea type asteroid']
[ "ascentricity is often associated with genius in intellectual giftedness or creativity", "ascentricity is often associated with genius intellectual giftedness or creativity", "ascentristicity is often associated with genius in intellectual giftedness or creativity", "essentiality is often associated with genius in intellectual giftedness or creativity", "essentiality is often associated with genius intellectual giftedness or creativity" ]
eccentricity is often associated with genius intellectual giftedness or creativity
ascentricity is often associated with genius in intellectual giftedness or creativity.
ascentricity is often associated with genius intellectual giftedness or creativity. ascentristicity is often associated with genius in intellectual giftedness or creativity. essentiality is often associated with genius in intellectual giftedness or creativity. essentiality is often associated with genius intellectual giftedness or creativity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ascentricity is often associated with genius in intellectual giftedness or creativity', 'ascentricity is often associated with genius intellectual giftedness or creativity', 'ascentristicity is often associated with genius in intellectual giftedness or creativity', 'essentiality is often associated with genius in intellectual giftedness or creativity', 'essentiality is often associated with genius intellectual giftedness or creativity']
[ "her father was lower", "her father was lower", "her father was lower", "her father was lower", "her father was lower" ]
her father was a lawyer
her father was lower.
her father was lower. her father was lower. her father was lower. her father was lower.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her father was lower', 'her father was lower', 'her father was lower', 'her father was lower', 'her father was lower']
[ "the fountain managing editor was softly turntouched out right in william burley", "the fountain managing editor was softly turntouched out right in william burry", "the fountain managing editor was softly torrented out right in william burley", "the founding managing networks of the toronto star write william burry", "the founding managing networks of the toronto star write william burley" ]
the founding managing editor was offbeat toronto star writer william burrill
the fountain managing editor was softly turntouched out right in william burley.
the fountain managing editor was softly turntouched out right in william burry. the fountain managing editor was softly torrented out right in william burley. the founding managing networks of the toronto star write william burry. the founding managing networks of the toronto star write william burley.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the fountain managing editor was softly turntouched out right in william burley', 'the fountain managing editor was softly turntouched out right in william burry', 'the fountain managing editor was softly torrented out right in william burley', 'the founding managing networks of the toronto star write william burry', 'the founding managing networks of the toronto star write william burley']
[ "cowdray agreed provided that he received no salary", "caldre agreed provided that he received no salary", "caldray agreed provided that he received no salary", "cowdrey agreed provided that he received no salary", "caldrae agreed provided that he received no salary" ]
cowdray agreed provided that he receive no salary
cowdray agreed provided that he received no salary.
caldre agreed provided that he received no salary. caldray agreed provided that he received no salary. cowdrey agreed provided that he received no salary. caldrae agreed provided that he received no salary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['cowdray agreed provided that he received no salary', 'caldre agreed provided that he received no salary', 'caldray agreed provided that he received no salary', 'cowdrey agreed provided that he received no salary', 'caldrae agreed provided that he received no salary']
[ "some academics believe that the animal was worshiped during antiquity", "some academics believe that the animals were shaped during antiquity", "some academics believe that the animal was worshiped during antiquity", "some academics believe that the animals were shipped during antiquity", "some academics believe that the animals worship during antiquity" ]
some academics believe that the animal was worshiped during antiquity
some academics believe that the animal was worshiped during antiquity.
some academics believe that the animals were shaped during antiquity. some academics believe that the animal was worshiped during antiquity. some academics believe that the animals were shipped during antiquity. some academics believe that the animals worship during antiquity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some academics believe that the animal was worshiped during antiquity', 'some academics believe that the animals were shaped during antiquity', 'some academics believe that the animal was worshiped during antiquity', 'some academics believe that the animals were shipped during antiquity', 'some academics believe that the animals worship during antiquity']
[ "a white man going for a walk", "a white man going for a walk", "a white man going for a walk", "be a white man going for a walk", "a white man going for a walk" ]
a white man going for a walk
a white man going for a walk.
a white man going for a walk. a white man going for a walk. be a white man going for a walk. a white man going for a walk.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a white man going for a walk', 'a white man going for a walk', 'a white man going for a walk', 'be a white man going for a walk', 'a white man going for a walk']
[ "the humboldt river runs through northern nevada near biowawi", "the humboldt river runs through northern nevada near biowawi", "the humboldt river runs through northern nevada near biwawi", "the humboldt river runs through northern nevada near beowawai", "the humboldt river runs through northern nevada near b o a" ]
the humboldt river runs through northern nevada near beowawe
the humboldt river runs through northern nevada near biowawi.
the humboldt river runs through northern nevada near biowawi. the humboldt river runs through northern nevada near biwawi. the humboldt river runs through northern nevada near beowawai. the humboldt river runs through northern nevada near b o a.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the humboldt river runs through northern nevada near biowawi', 'the humboldt river runs through northern nevada near biowawi', 'the humboldt river runs through northern nevada near biwawi', 'the humboldt river runs through northern nevada near beowawai', 'the humboldt river runs through northern nevada near b o a']
[ "jones immediately saluted actress and comedian u p goldberg to host the scene money", "jones immediately selected actress and comedian u p goldberg to host the scene money", "jones immediately selected actress and comedy at u p goldberg to host the scene money", "jones immediately selected actress and comedian o p goldberg to host the scene money", "jones immediately selected actress and comedian oop goldberg to host the scene money" ]
jones immediately selected actress and comedian whoopi goldberg to host the ceremony
jones immediately saluted actress and comedian u p goldberg to host the scene money.
jones immediately selected actress and comedian u p goldberg to host the scene money. jones immediately selected actress and comedy at u p goldberg to host the scene money. jones immediately selected actress and comedian o p goldberg to host the scene money. jones immediately selected actress and comedian oop goldberg to host the scene money.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['jones immediately saluted actress and comedian u p goldberg to host the scene money', 'jones immediately selected actress and comedian u p goldberg to host the scene money', 'jones immediately selected actress and comedy at u p goldberg to host the scene money', 'jones immediately selected actress and comedian o p goldberg to host the scene money', 'jones immediately selected actress and comedian oop goldberg to host the scene money']
[ "while wing tagged out the wrestler will slowly begin recharging his energy", "why wing tagged out the wrestler will slowly begin recharging his energy", "while wing tapped out the wrestler will slowly begin recharging his energy", "while wing tugged out the wrestler will slowly begin recharging his energy", "while wingtags out the wrestler will slowly begin recharging his energy" ]
while being tagged out the wrestler will slowly begin recharging his energy
while wing tagged out the wrestler will slowly begin recharging his energy.
why wing tagged out the wrestler will slowly begin recharging his energy. while wing tapped out the wrestler will slowly begin recharging his energy. while wing tugged out the wrestler will slowly begin recharging his energy. while wingtags out the wrestler will slowly begin recharging his energy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['while wing tagged out the wrestler will slowly begin recharging his energy', 'why wing tagged out the wrestler will slowly begin recharging his energy', 'while wing tapped out the wrestler will slowly begin recharging his energy', 'while wing tugged out the wrestler will slowly begin recharging his energy', 'while wingtags out the wrestler will slowly begin recharging his energy']
[ "ruth kowski was in contact with blowch and others and published in the enails", "ruth kowski was in contact with blowch and others and published in the enails", "ruth kowski was in contact with bloch and others and published in the enails", "ruth kowski was in contact with bloach and others and published in the enails", "ruth kowski was in contact with blowch and others and published in the anales" ]
rutkowski was in contact with bloch and others and published in the annales
ruth kowski was in contact with blowch and others and published in the enails.
ruth kowski was in contact with blowch and others and published in the enails. ruth kowski was in contact with bloch and others and published in the enails. ruth kowski was in contact with bloach and others and published in the enails. ruth kowski was in contact with blowch and others and published in the anales.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ruth kowski was in contact with blowch and others and published in the enails', 'ruth kowski was in contact with blowch and others and published in the enails', 'ruth kowski was in contact with bloch and others and published in the enails', 'ruth kowski was in contact with bloach and others and published in the enails', 'ruth kowski was in contact with blowch and others and published in the anales']
[ "she was subsequently scrubbed", "she was subsequently scrapped", "she was subsequently scrubbed", "she was subsequently scrubbed", "she was subsequently scrubbed" ]
she was subsequently scrapped
she was subsequently scrubbed.
she was subsequently scrapped. she was subsequently scrubbed. she was subsequently scrubbed. she was subsequently scrubbed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was subsequently scrubbed', 'she was subsequently scrapped', 'she was subsequently scrubbed', 'she was subsequently scrubbed', 'she was subsequently scrubbed']
[ "the mall is food court located on the fourth floor is known as saver westchester", "the mall is food court located on the fourth floor is known as saber westchester", "the mall is food court located on the fourth floor is known as saver westchester", "the mall is food court located on the fourth floor is known as sava westchester", "the mall is food court located on the fourth floor is known as sever westchester" ]
the mall is food court located on the fourth floor is known as savor westchester
the mall is food court located on the fourth floor is known as saver westchester.
the mall is food court located on the fourth floor is known as saber westchester. the mall is food court located on the fourth floor is known as saver westchester. the mall is food court located on the fourth floor is known as sava westchester. the mall is food court located on the fourth floor is known as sever westchester.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the mall is food court located on the fourth floor is known as saver westchester', 'the mall is food court located on the fourth floor is known as saber westchester', 'the mall is food court located on the fourth floor is known as saver westchester', 'the mall is food court located on the fourth floor is known as sava westchester', 'the mall is food court located on the fourth floor is known as sever westchester']
[ "in spite of the turin cannon the duration of mnmhthree is uncertain", "in spite of the turin canon the duration of mnmhthree is uncertain", "in spite of the turin cannon the duration of mnmhthree is uncertain", "in spite of the turin cannon the duration of mnmhr terrain is uncertain", "in spite of the turin cannon the duration of mnmhr terrain is uncertain" ]
in spite of the turin canon the duration of amenemhat is reign is uncertain
in spite of the turin cannon the duration of mnmhthree is uncertain.
in spite of the turin canon the duration of mnmhthree is uncertain. in spite of the turin cannon the duration of mnmhthree is uncertain. in spite of the turin cannon the duration of mnmhr terrain is uncertain. in spite of the turin cannon the duration of mnmhr terrain is uncertain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in spite of the turin cannon the duration of mnmhthree is uncertain', 'in spite of the turin canon the duration of mnmhthree is uncertain', 'in spite of the turin cannon the duration of mnmhthree is uncertain', 'in spite of the turin cannon the duration of mnmhr terrain is uncertain', 'in spite of the turin cannon the duration of mnmhr terrain is uncertain']
[ "the entire route is two lane with wild shoulders a loving for possible expansion if needed", "the entire route is too length with wild shoulders a loving for possible expansion if needed", "the entire route is two length with wild shoulders a loving for possible expansion if needed", "the entire route is two lane with wild shoulders a loving for possible expansion if needed", "the entire route is too lane with wild shoulders a loving for possible expansion if needed" ]
the entire route is two lane with wide shoulders allowing for possible expansion if needed
the entire route is two lane with wild shoulders a loving for possible expansion if needed.
the entire route is too length with wild shoulders a loving for possible expansion if needed. the entire route is two length with wild shoulders a loving for possible expansion if needed. the entire route is two lane with wild shoulders a loving for possible expansion if needed. the entire route is too lane with wild shoulders a loving for possible expansion if needed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the entire route is two lane with wild shoulders a loving for possible expansion if needed', 'the entire route is too length with wild shoulders a loving for possible expansion if needed', 'the entire route is two length with wild shoulders a loving for possible expansion if needed', 'the entire route is two lane with wild shoulders a loving for possible expansion if needed', 'the entire route is too lane with wild shoulders a loving for possible expansion if needed']
[ "the teams study a journey with daily clinical examinations blood tests and scans", "the teams study johnny with daily clinical examinations blood tests and scans", "the teams study journey with daily clinical examinations blood tests and scans", "the teams study journey with daily clinical examinations blood tests and scans", "the teams study johnny with daily clinical examinations blood tests and scans" ]
the team studied jani with daily clinical examinations blood tests and scans
the teams study a journey with daily clinical examinations blood tests and scans.
the teams study johnny with daily clinical examinations blood tests and scans. the teams study journey with daily clinical examinations blood tests and scans. the teams study journey with daily clinical examinations blood tests and scans. the teams study johnny with daily clinical examinations blood tests and scans.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the teams study a journey with daily clinical examinations blood tests and scans', 'the teams study johnny with daily clinical examinations blood tests and scans', 'the teams study journey with daily clinical examinations blood tests and scans', 'the teams study journey with daily clinical examinations blood tests and scans', 'the teams study johnny with daily clinical examinations blood tests and scans']
[ "thus bulkonski became the most successful film of the year", "thus bulkonsky became the most successful film of the year", "thus balconski became the most successful film of the year", "thus balkonski became the most successful film of the year", "thus balkonsky became the most successful film of the year" ]
thus bolkonsky became the most successful film of the year
thus bulkonski became the most successful film of the year.
thus bulkonsky became the most successful film of the year. thus balconski became the most successful film of the year. thus balkonski became the most successful film of the year. thus balkonsky became the most successful film of the year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thus bulkonski became the most successful film of the year', 'thus bulkonsky became the most successful film of the year', 'thus balconski became the most successful film of the year', 'thus balkonski became the most successful film of the year', 'thus balkonsky became the most successful film of the year']
[ "islands are listed in order of broadside weight", "islands are listed in order of broadside weight", "items are listed in order of broadside weight", "islands are listed in order of broadside weight", "items are listed in order of broadside weight" ]
items are listed in order of broadside weight
islands are listed in order of broadside weight.
islands are listed in order of broadside weight. items are listed in order of broadside weight. islands are listed in order of broadside weight. items are listed in order of broadside weight.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['islands are listed in order of broadside weight', 'islands are listed in order of broadside weight', 'items are listed in order of broadside weight', 'islands are listed in order of broadside weight', 'items are listed in order of broadside weight']
[ "all had the same composition and size as the corresponding british coins", "all had the same composition and size as the corresponding british coins", "all had the same composition and size as the corresponding british coins", "all had the same composition and size as the corresponding british coins", "all had the same composition and size as the corresponding british coins" ]
all had the same composition and size as the corresponding british coins
all had the same composition and size as the corresponding british coins.
all had the same composition and size as the corresponding british coins. all had the same composition and size as the corresponding british coins. all had the same composition and size as the corresponding british coins. all had the same composition and size as the corresponding british coins.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all had the same composition and size as the corresponding british coins', 'all had the same composition and size as the corresponding british coins', 'all had the same composition and size as the corresponding british coins', 'all had the same composition and size as the corresponding british coins', 'all had the same composition and size as the corresponding british coins']
[ "the school also sponsors entries in the special olympics", "the school also sponsors entries in the special olympics", "the school also sponsors entries in the special olympics", "the school also sponsors entries in the special olympics", "the school also sponsors entries in the special olympics" ]
the school also sponsors entries in the special olympics
the school also sponsors entries in the special olympics.
the school also sponsors entries in the special olympics. the school also sponsors entries in the special olympics. the school also sponsors entries in the special olympics. the school also sponsors entries in the special olympics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the school also sponsors entries in the special olympics', 'the school also sponsors entries in the special olympics', 'the school also sponsors entries in the special olympics', 'the school also sponsors entries in the special olympics', 'the school also sponsors entries in the special olympics']
[ "its primary competition was the kilkenny people", "its family competition was the kilkenny people", "it is primary competition was the kilkenny people", "its primary competition was the kilkeny people", "its primary competition was the kilkenny people" ]
its primary competition was the kilkenny people
its primary competition was the kilkenny people.
its family competition was the kilkenny people. it is primary competition was the kilkenny people. its primary competition was the kilkeny people. its primary competition was the kilkenny people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its primary competition was the kilkenny people', 'its family competition was the kilkenny people', 'it is primary competition was the kilkenny people', 'its primary competition was the kilkeny people', 'its primary competition was the kilkenny people']
[ "as the strands are not directly opposite each other the grooves are unecrisized", "as the strands are not directly opposite each other the grooves are unnecrisized", "as the strands are not directly opposite each other the grooves are unecrecised", "as the strands are no directly opposite each other the grooves are unecrisized", "as the strands are not directly opposite each other the grooves are unecricized" ]
as the strands are not directly opposite each other the grooves are unequally sized
as the strands are not directly opposite each other the grooves are unecrisized.
as the strands are not directly opposite each other the grooves are unnecrisized. as the strands are not directly opposite each other the grooves are unecrecised. as the strands are no directly opposite each other the grooves are unecrisized. as the strands are not directly opposite each other the grooves are unecricized.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as the strands are not directly opposite each other the grooves are unecrisized', 'as the strands are not directly opposite each other the grooves are unnecrisized', 'as the strands are not directly opposite each other the grooves are unecrecised', 'as the strands are no directly opposite each other the grooves are unecrisized', 'as the strands are not directly opposite each other the grooves are unecricized']
[ "after several days of intense discomfort the elements subsided", "after several days of intense discomfort the element subsided", "after several days of intense discomfort the elements subsided", "after several days of intense discomfort the element subsided", "after several days of intense discomfort the element subsided" ]
after several days of intense discomfort the ailment subsided
after several days of intense discomfort the elements subsided.
after several days of intense discomfort the element subsided. after several days of intense discomfort the elements subsided. after several days of intense discomfort the element subsided. after several days of intense discomfort the element subsided.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after several days of intense discomfort the elements subsided', 'after several days of intense discomfort the element subsided', 'after several days of intense discomfort the elements subsided', 'after several days of intense discomfort the element subsided', 'after several days of intense discomfort the element subsided']
[ "among other areas vernon has researched race and intentions", "among other areas vernon has research rates and intentions", "among other areas vernon has researched race and intelligence", "among other areas vernon has researched race and intentions", "among other areas vernon has research race and intentions" ]
among other areas vernon has researched race and intelligence
among other areas vernon has researched race and intentions.
among other areas vernon has research rates and intentions. among other areas vernon has researched race and intelligence. among other areas vernon has researched race and intentions. among other areas vernon has research race and intentions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['among other areas vernon has researched race and intentions', 'among other areas vernon has research rates and intentions', 'among other areas vernon has researched race and intelligence', 'among other areas vernon has researched race and intentions', 'among other areas vernon has research race and intentions']
[ "a derivation starts with an initial tree combining via either substitution or adjunction", "a derivation starts with an initial three combining via either substitution or adjunction", "a derivation starts with an initial c combining via either substitution or adjunction", "a derivation starts with an initial three combining via either substitution or adjunction", "a derivation starts with an initial tree combining via either substitution or adjunction" ]
a derivation starts with an initial tree combining via either substitution or adjunction
a derivation starts with an initial tree combining via either substitution or adjunction.
a derivation starts with an initial three combining via either substitution or adjunction. a derivation starts with an initial c combining via either substitution or adjunction. a derivation starts with an initial three combining via either substitution or adjunction. a derivation starts with an initial tree combining via either substitution or adjunction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a derivation starts with an initial tree combining via either substitution or adjunction', 'a derivation starts with an initial three combining via either substitution or adjunction', 'a derivation starts with an initial c combining via either substitution or adjunction', 'a derivation starts with an initial three combining via either substitution or adjunction', 'a derivation starts with an initial tree combining via either substitution or adjunction']
[ "it was quite a joke in the hotel", "it was quite a joke in the hotel", "it was quite a joke in the hotel", "it was quite a joke in the hotel", "it was quite a joke in the hotel" ]
it was quite a joke in the hotel
it was quite a joke in the hotel.
it was quite a joke in the hotel. it was quite a joke in the hotel. it was quite a joke in the hotel. it was quite a joke in the hotel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was quite a joke in the hotel', 'it was quite a joke in the hotel', 'it was quite a joke in the hotel', 'it was quite a joke in the hotel', 'it was quite a joke in the hotel']
[ "do not practice slow and his area of interest is general registration matters", "do not practice slow and his area of interest is general administration matters", "do not practice this law and his area of interest is general administration matters", "do not practice this law and his area of interest is general registration matters", "do not practice his law and his area of interest is general administration matters" ]
dunn practices law and his area of interest is general litigation matters
do not practice slow and his area of interest is general registration matters.
do not practice slow and his area of interest is general administration matters. do not practice this law and his area of interest is general administration matters. do not practice this law and his area of interest is general registration matters. do not practice his law and his area of interest is general administration matters.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do not practice slow and his area of interest is general registration matters', 'do not practice slow and his area of interest is general administration matters', 'do not practice this law and his area of interest is general administration matters', 'do not practice this law and his area of interest is general registration matters', 'do not practice his law and his area of interest is general administration matters']
[ "robert s p baker has suggested a pre greek origin", "robert s p baker has suggested a pre greek origin", "robert sp bakers has suggested a pre greek origin", "robert sp bakers has suggested a pre greek origin", "robert sp baker has suggested a pre greek origin" ]
robert s p beekes has suggested a pre greek origin
robert s p baker has suggested a pre greek origin.
robert s p baker has suggested a pre greek origin. robert sp bakers has suggested a pre greek origin. robert sp bakers has suggested a pre greek origin. robert sp baker has suggested a pre greek origin.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['robert s p baker has suggested a pre greek origin', 'robert s p baker has suggested a pre greek origin', 'robert sp bakers has suggested a pre greek origin', 'robert sp bakers has suggested a pre greek origin', 'robert sp baker has suggested a pre greek origin']
[ "both pilots ejected one later died of injuries received during the rescue attempt", "both pilots ejected one later died of injuries received during the rescue attempt", "both pilots ejected one later died of injuries received during the rescue attempts", "both pilots ejected one later died of injuries received during the rescue attempts", "both pilots ejected one laid a diet of injuries received during the rescue attempt" ]
both pilots ejected one later died of injuries received during the rescue attempt
both pilots ejected one later died of injuries received during the rescue attempt.
both pilots ejected one later died of injuries received during the rescue attempt. both pilots ejected one later died of injuries received during the rescue attempts. both pilots ejected one later died of injuries received during the rescue attempts. both pilots ejected one laid a diet of injuries received during the rescue attempt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both pilots ejected one later died of injuries received during the rescue attempt', 'both pilots ejected one later died of injuries received during the rescue attempt', 'both pilots ejected one later died of injuries received during the rescue attempts', 'both pilots ejected one later died of injuries received during the rescue attempts', 'both pilots ejected one laid a diet of injuries received during the rescue attempt']
[ "dern was nominated for the academy award for best supporting actor for coming home", "don was nominated for the academy award for best supporting actor for coming home", "dern was nominated for the academy award for best supporting actor for coming home", "don was nominated for the academy award for best supporting actor for coming home", "durn was nominated for the academy award for best supporting actor for coming home" ]
dern was nominated for the academy award for best supporting actor for coming home
dern was nominated for the academy award for best supporting actor for coming home.
don was nominated for the academy award for best supporting actor for coming home. dern was nominated for the academy award for best supporting actor for coming home. don was nominated for the academy award for best supporting actor for coming home. durn was nominated for the academy award for best supporting actor for coming home.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dern was nominated for the academy award for best supporting actor for coming home', 'don was nominated for the academy award for best supporting actor for coming home', 'dern was nominated for the academy award for best supporting actor for coming home', 'don was nominated for the academy award for best supporting actor for coming home', 'durn was nominated for the academy award for best supporting actor for coming home']
[ "markovar followed his father in business and political interests", "mark has followed his father in business and political interests", "markovov followed his father in business and political interests", "markovar followed his father in business and political interest", "mark of all follow his father in business and political interests" ]
margarot followed his father in business and political interest
markovar followed his father in business and political interests.
mark has followed his father in business and political interests. markovov followed his father in business and political interests. markovar followed his father in business and political interest. mark of all follow his father in business and political interests.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['markovar followed his father in business and political interests', 'mark has followed his father in business and political interests', 'markovov followed his father in business and political interests', 'markovar followed his father in business and political interest', 'mark of all follow his father in business and political interests']
[ "ali said that he would follow the quran and the sunnah of muhammad", "ali said that he would follow the koran and the sunnah of muhammad", "ali said that he would follow the quran and the sunnah of muhammad", "ali said that he would follow the quran and the sunnah of muhammad", "ali said that he would follow the koran and the sunnah of muhammad" ]
ali said that he would follow the quran and the sunnah of muhammed
ali said that he would follow the quran and the sunnah of muhammad.
ali said that he would follow the koran and the sunnah of muhammad. ali said that he would follow the quran and the sunnah of muhammad. ali said that he would follow the quran and the sunnah of muhammad. ali said that he would follow the koran and the sunnah of muhammad.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ali said that he would follow the quran and the sunnah of muhammad', 'ali said that he would follow the koran and the sunnah of muhammad', 'ali said that he would follow the quran and the sunnah of muhammad', 'ali said that he would follow the quran and the sunnah of muhammad', 'ali said that he would follow the koran and the sunnah of muhammad']
[ "volunteers provide coverage during the remaining time and whenever available", "volunteers provide courage during the remaining time and whenever available", "volunteers provide courage during the remaining time and were never available", "volunteers provide coverage during the remaining time and were never available", "volunteers provide coverage during the remaining time and will never available" ]
volunteers provide coverage during the remaining times and whenever available
volunteers provide coverage during the remaining time and whenever available.
volunteers provide courage during the remaining time and whenever available. volunteers provide courage during the remaining time and were never available. volunteers provide coverage during the remaining time and were never available. volunteers provide coverage during the remaining time and will never available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['volunteers provide coverage during the remaining time and whenever available', 'volunteers provide courage during the remaining time and whenever available', 'volunteers provide courage during the remaining time and were never available', 'volunteers provide coverage during the remaining time and were never available', 'volunteers provide coverage during the remaining time and will never available']
[ "credit forms colorless to white to purple monoclinic prismatic crystals", "credip forms colorless to white to purple monoclinic prismatic crystals", "credip forms colorless to white to purple monoclinic prismatic crystals", "credit forms colorless to white to purple monoclinic prismatic crystals", "credit forms colorless to white to purple monoclinic prismatic crystals" ]
creedite forms colorless to white to purple monoclinic prismatic crystals
credit forms colorless to white to purple monoclinic prismatic crystals.
credip forms colorless to white to purple monoclinic prismatic crystals. credip forms colorless to white to purple monoclinic prismatic crystals. credit forms colorless to white to purple monoclinic prismatic crystals. credit forms colorless to white to purple monoclinic prismatic crystals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['credit forms colorless to white to purple monoclinic prismatic crystals', 'credip forms colorless to white to purple monoclinic prismatic crystals', 'credip forms colorless to white to purple monoclinic prismatic crystals', 'credit forms colorless to white to purple monoclinic prismatic crystals', 'credit forms colorless to white to purple monoclinic prismatic crystals']
[ "man with a gray shirt playing a guitar on a city street", "man with a gray shirt playing a guitar on a city street", "man with a gray shirt playing a guitar on a city street", "man with a gray shirt playing a guitar on a city street", "man with a gray shirt playing a guitar on a city street" ]
man with a gray shirt playing a guitar on a city street
man with a gray shirt playing a guitar on a city street.
man with a gray shirt playing a guitar on a city street. man with a gray shirt playing a guitar on a city street. man with a gray shirt playing a guitar on a city street. man with a gray shirt playing a guitar on a city street.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['man with a gray shirt playing a guitar on a city street', 'man with a gray shirt playing a guitar on a city street', 'man with a gray shirt playing a guitar on a city street', 'man with a gray shirt playing a guitar on a city street', 'man with a gray shirt playing a guitar on a city street']
[ "maximum underwater speed of earth is table with contemporary american designs", "maximum underwater speed of earth is table with a contemporary american designs", "maximum underwater speed of earth is table with contemporary american designs", "managing him under water speed across the table with contemporary american designs", "man is under water speed across the table with contemporary american designs" ]
the maximum underwater speed of was double that of contemporary american designs
maximum underwater speed of earth is table with contemporary american designs.
maximum underwater speed of earth is table with a contemporary american designs. maximum underwater speed of earth is table with contemporary american designs. managing him under water speed across the table with contemporary american designs. man is under water speed across the table with contemporary american designs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['maximum underwater speed of earth is table with contemporary american designs', 'maximum underwater speed of earth is table with a contemporary american designs', 'maximum underwater speed of earth is table with contemporary american designs', 'managing him under water speed across the table with contemporary american designs', 'man is under water speed across the table with contemporary american designs']
[ "central to this learning method is the seminar format", "central to this learning method is the seminar format", "central to this learning method is the seminar format", "central to this learning method is the savinner format", "central to this learning method is the savinier format" ]
central to this learning method is the seminar format
central to this learning method is the seminar format.
central to this learning method is the seminar format. central to this learning method is the seminar format. central to this learning method is the savinner format. central to this learning method is the savinier format.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['central to this learning method is the seminar format', 'central to this learning method is the seminar format', 'central to this learning method is the seminar format', 'central to this learning method is the savinner format', 'central to this learning method is the savinier format']
[ "works on paper not on display can be weaved by appointment", "works on paper not on display can be weaved by appointment", "works on paper not on display can be viewed by appointment", "works on paper not on display can be viewed by appointment", "works on paper not on display can be viewed by appointment" ]
works on paper not on display can be viewed by appointment
works on paper not on display can be weaved by appointment.
works on paper not on display can be weaved by appointment. works on paper not on display can be viewed by appointment. works on paper not on display can be viewed by appointment. works on paper not on display can be viewed by appointment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['works on paper not on display can be weaved by appointment', 'works on paper not on display can be weaved by appointment', 'works on paper not on display can be viewed by appointment', 'works on paper not on display can be viewed by appointment', 'works on paper not on display can be viewed by appointment']
[ "all stages must be completed in progress", "all stages must be completed in progress", "all stages must be completed in progress", "all stages must be completed in progress", "all stages must be completed in progress" ]
all stages must be completed in progress
all stages must be completed in progress.
all stages must be completed in progress. all stages must be completed in progress. all stages must be completed in progress. all stages must be completed in progress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all stages must be completed in progress', 'all stages must be completed in progress', 'all stages must be completed in progress', 'all stages must be completed in progress', 'all stages must be completed in progress']
[ "recent graduates from high school or college usually take entry level positions", "recent graduates from high school or college usually take entry level positions", "recent graduates from high school of college usually take entry level positions", "recent graduates from high school or college usually take entry level positions", "recent graduates from high school of college usually take entry level positions" ]
recent graduates from high school or college usually take entry level positions
recent graduates from high school or college usually take entry level positions.
recent graduates from high school or college usually take entry level positions. recent graduates from high school of college usually take entry level positions. recent graduates from high school or college usually take entry level positions. recent graduates from high school of college usually take entry level positions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['recent graduates from high school or college usually take entry level positions', 'recent graduates from high school or college usually take entry level positions', 'recent graduates from high school of college usually take entry level positions', 'recent graduates from high school or college usually take entry level positions', 'recent graduates from high school of college usually take entry level positions']
[ "aleil then became mebks husband and king of the konakka", "alil then became mebks husband and king of the konakka", "aleel then became mebks husband and king of the konakka", "aleil then became mebks husband and king of the konakcha", "aleil then became mebs husband and king of the konakka" ]
ailill then became medb is husband and king of the connachta
aleil then became mebks husband and king of the konakka.
alil then became mebks husband and king of the konakka. aleel then became mebks husband and king of the konakka. aleil then became mebks husband and king of the konakcha. aleil then became mebs husband and king of the konakka.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['aleil then became mebks husband and king of the konakka', 'alil then became mebks husband and king of the konakka', 'aleel then became mebks husband and king of the konakka', 'aleil then became mebks husband and king of the konakcha', 'aleil then became mebs husband and king of the konakka']
[ "this piece brought her immense criticism and hate mail", "this piece brought her immense criticism and hate mail", "this piece brought her immense criticism and hate mail", "this piece brought her immense criticism and hate mail", "this piece brought her immense criticism and hate mail" ]
this piece brought her immense criticism and hate mail
this piece brought her immense criticism and hate mail.
this piece brought her immense criticism and hate mail. this piece brought her immense criticism and hate mail. this piece brought her immense criticism and hate mail. this piece brought her immense criticism and hate mail.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this piece brought her immense criticism and hate mail', 'this piece brought her immense criticism and hate mail', 'this piece brought her immense criticism and hate mail', 'this piece brought her immense criticism and hate mail', 'this piece brought her immense criticism and hate mail']
[ "the database data are portable on platforms", "the database data are portable and platforms", "the database data are portable and on platforms", "the database data are portable on platforms", "the database data are portable among platforms" ]
the database data are portable among platforms
the database data are portable on platforms.
the database data are portable and platforms. the database data are portable and on platforms. the database data are portable on platforms. the database data are portable among platforms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the database data are portable on platforms', 'the database data are portable and platforms', 'the database data are portable and on platforms', 'the database data are portable on platforms', 'the database data are portable among platforms']
[ "it mails articles to decision makers all over the world", "it may as articles to decision makers all over the world", "it mills articles to decision makers all over the world", "it meows articles to decision makers all over the world", "it means articles to decision makers all over the world" ]
it mails articles to decision makers all over the world
it mails articles to decision makers all over the world.
it may as articles to decision makers all over the world. it mills articles to decision makers all over the world. it meows articles to decision makers all over the world. it means articles to decision makers all over the world.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it mails articles to decision makers all over the world', 'it may as articles to decision makers all over the world', 'it mills articles to decision makers all over the world', 'it meows articles to decision makers all over the world', 'it means articles to decision makers all over the world']
[ "it was the first of his nine asteroid discoveries", "it was the first of his nine asteroid discoveries", "it was the first of his nine astroid discoveries", "it was the onest of his nine asteroid discoveries", "it was the first of his nine astroid discoveries" ]
it was the first of his nine asteroid discoveries
it was the first of his nine asteroid discoveries.
it was the first of his nine asteroid discoveries. it was the first of his nine astroid discoveries. it was the onest of his nine asteroid discoveries. it was the first of his nine astroid discoveries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was the first of his nine asteroid discoveries', 'it was the first of his nine asteroid discoveries', 'it was the first of his nine astroid discoveries', 'it was the onest of his nine asteroid discoveries', 'it was the first of his nine astroid discoveries']
[ "he joined the sons of africa african abolationists in england", "he joined the sons of africa african abolitionists in england", "he joined the sons of africa african abolitionists in england", "he joined the sons of africa african abolitionists in england", "he joined the sons of africa african abolitionists in england" ]
he joined the sons of africa african abolitionists in england
he joined the sons of africa african abolationists in england.
he joined the sons of africa african abolitionists in england. he joined the sons of africa african abolitionists in england. he joined the sons of africa african abolitionists in england. he joined the sons of africa african abolitionists in england.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he joined the sons of africa african abolationists in england', 'he joined the sons of africa african abolitionists in england', 'he joined the sons of africa african abolitionists in england', 'he joined the sons of africa african abolitionists in england', 'he joined the sons of africa african abolitionists in england']
[ "it is the east of amarillo west of okohama city okohama in the north west of dallas", "it is the east of amarillo west of okohama city okohama in the north west of dallas", "it is the east of amarillo west of okohama city okohama and the north west of dallas", "it is the east of amarillo west of oklahoma city oklahoma in the north west of dallas", "it is the east of amarillo west of okohama city okohama and north west of dallas" ]
it is east of amarillo west of oklahoma city oklahoma and northwest of dallas
it is the east of amarillo west of okohama city okohama in the north west of dallas.
it is the east of amarillo west of okohama city okohama in the north west of dallas. it is the east of amarillo west of okohama city okohama and the north west of dallas. it is the east of amarillo west of oklahoma city oklahoma in the north west of dallas. it is the east of amarillo west of okohama city okohama and north west of dallas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is the east of amarillo west of okohama city okohama in the north west of dallas', 'it is the east of amarillo west of okohama city okohama in the north west of dallas', 'it is the east of amarillo west of okohama city okohama and the north west of dallas', 'it is the east of amarillo west of oklahoma city oklahoma in the north west of dallas', 'it is the east of amarillo west of okohama city okohama and north west of dallas']
[ "during the afternoon this resulted in a huge gas eruption", "during the afternoon this resulted in a huge gas eruption", "during the afternoon this resulted in a huge cast eruption", "during the afternoon this resulted in a huge gas eruption", "during the afternoon this resulted in a huge gas eruption" ]
during the afternoon this resulted in a huge gas eruption
during the afternoon this resulted in a huge gas eruption.
during the afternoon this resulted in a huge gas eruption. during the afternoon this resulted in a huge cast eruption. during the afternoon this resulted in a huge gas eruption. during the afternoon this resulted in a huge gas eruption.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during the afternoon this resulted in a huge gas eruption', 'during the afternoon this resulted in a huge gas eruption', 'during the afternoon this resulted in a huge cast eruption', 'during the afternoon this resulted in a huge gas eruption', 'during the afternoon this resulted in a huge gas eruption']
[ "the focus constituent usually immediately precedes the verb", "the focus constituent usually immediately proceeds the verb", "the focus constituent usually immediately precedes the verb", "the focus constituent usually immediately precedes the verb", "the focus constituent usually immediately precedes the verb" ]
the focused constituent usually immediately precedes the verb
the focus constituent usually immediately precedes the verb.
the focus constituent usually immediately proceeds the verb. the focus constituent usually immediately precedes the verb. the focus constituent usually immediately precedes the verb. the focus constituent usually immediately precedes the verb.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the focus constituent usually immediately precedes the verb', 'the focus constituent usually immediately proceeds the verb', 'the focus constituent usually immediately precedes the verb', 'the focus constituent usually immediately precedes the verb', 'the focus constituent usually immediately precedes the verb']
[ "it can be a serious pest encounter for plantations", "it can be a serious person kind of for plantations", "it can be a series posting kind of for plantations", "it can be a serious posting kind of for plantations", "it can be a serious pest in kernel for plantations" ]
it can be a serious pest in conifer plantations
it can be a serious pest encounter for plantations.
it can be a serious person kind of for plantations. it can be a series posting kind of for plantations. it can be a serious posting kind of for plantations. it can be a serious pest in kernel for plantations.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it can be a serious pest encounter for plantations', 'it can be a serious person kind of for plantations', 'it can be a series posting kind of for plantations', 'it can be a serious posting kind of for plantations', 'it can be a serious pest in kernel for plantations']
[ "it operates scheduled domestic and international services", "it operates scheduled domestic and international services", "it operates scheduled domestic and international services", "it operates scheduled domestic and international services", "it operates scheduled domestic and international services" ]
it operates scheduled domestic and international services
it operates scheduled domestic and international services.
it operates scheduled domestic and international services. it operates scheduled domestic and international services. it operates scheduled domestic and international services. it operates scheduled domestic and international services.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it operates scheduled domestic and international services', 'it operates scheduled domestic and international services', 'it operates scheduled domestic and international services', 'it operates scheduled domestic and international services', 'it operates scheduled domestic and international services']
[ "the motivations of alien intelligences operating under ultra ethical motives are explored", "the operations of alien intelligences operating under ultra ethical motives are explored", "<UNK>", "the relations of alien intelligences operating under ultra ethical motives are explored", "the operations of alien intelligence operating under ultra ethical motives are explored" ]
the motivations of alien intelligences operating under ultra ethical motives are explored
the motivations of alien intelligences operating under ultra ethical motives are explored.
the operations of alien intelligences operating under ultra ethical motives are explored. <unk>. the relations of alien intelligences operating under ultra ethical motives are explored. the operations of alien intelligence operating under ultra ethical motives are explored.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the motivations of alien intelligences operating under ultra ethical motives are explored', 'the operations of alien intelligences operating under ultra ethical motives are explored', '<UNK>', 'the relations of alien intelligences operating under ultra ethical motives are explored', 'the operations of alien intelligence operating under ultra ethical motives are explored']
[ "the film itself only mentioned opal but did not actually show the lost city", "the film itself only mentioned opal but did not actually show the lost city", "the film itself only mentioned opel but did not actually show the lost city", "the film itself only mentioned opel but did not actually show the lost city", "the film itself only mentioned oprah but did not actually show the lost city" ]
the film itself only mentioned opar but did not actually show the lost city
the film itself only mentioned opal but did not actually show the lost city.
the film itself only mentioned opal but did not actually show the lost city. the film itself only mentioned opel but did not actually show the lost city. the film itself only mentioned opel but did not actually show the lost city. the film itself only mentioned oprah but did not actually show the lost city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film itself only mentioned opal but did not actually show the lost city', 'the film itself only mentioned opal but did not actually show the lost city', 'the film itself only mentioned opel but did not actually show the lost city', 'the film itself only mentioned opel but did not actually show the lost city', 'the film itself only mentioned oprah but did not actually show the lost city']
[ "the tower has three balls", "the tower has three bells", "the tower has three bells", "the tower has three balls", "the tower has three walls" ]
the tower has three bells
the tower has three balls.
the tower has three bells. the tower has three bells. the tower has three balls. the tower has three walls.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tower has three balls', 'the tower has three bells', 'the tower has three bells', 'the tower has three balls', 'the tower has three walls']
[ "these early masterpieces innovative amongst venetian fresh course for their luminosity brought him many commissions", "these early masterpieces innovate amongst venetian fresh cores for their luminosity brought him many commissions", "these early masterpieces innovate amongst venetian fresh course for their luminosity brought him many commissions", "these early masterpieces inovative amongst venetian fresh course for their luminosity brought him many commissions", "these early masterpieces innovative amounts venetian fresh course for their luminosity brought him many commissions" ]
these early masterpieces innovative amongst venetian frescoes for their luminosity brought him many commissions
these early masterpieces innovative amongst venetian fresh course for their luminosity brought him many commissions.
these early masterpieces innovate amongst venetian fresh cores for their luminosity brought him many commissions. these early masterpieces innovate amongst venetian fresh course for their luminosity brought him many commissions. these early masterpieces inovative amongst venetian fresh course for their luminosity brought him many commissions. these early masterpieces innovative amounts venetian fresh course for their luminosity brought him many commissions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these early masterpieces innovative amongst venetian fresh course for their luminosity brought him many commissions', 'these early masterpieces innovate amongst venetian fresh cores for their luminosity brought him many commissions', 'these early masterpieces innovate amongst venetian fresh course for their luminosity brought him many commissions', 'these early masterpieces inovative amongst venetian fresh course for their luminosity brought him many commissions', 'these early masterpieces innovative amounts venetian fresh course for their luminosity brought him many commissions']
[ "the network administrative resolve the connectivity issue of the router", "the network administrator resolved the connectivity issue of the router", "the network administrator resolved the connectivity issue of the router", "the network administrative resolve the connectivity issue of the router", "the network administrators resolve the connectivity issue of the router" ]
the network administrator resolved the connectivity issue of the router
the network administrative resolve the connectivity issue of the router.
the network administrator resolved the connectivity issue of the router. the network administrator resolved the connectivity issue of the router. the network administrative resolve the connectivity issue of the router. the network administrators resolve the connectivity issue of the router.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the network administrative resolve the connectivity issue of the router', 'the network administrator resolved the connectivity issue of the router', 'the network administrator resolved the connectivity issue of the router', 'the network administrative resolve the connectivity issue of the router', 'the network administrators resolve the connectivity issue of the router']
[ "for every four schools that have been closed three have been in these neighborhoods", "for every four schools that have been closed three have been in these neighborhoods", "for every four schools that have been closed three have been in these neighborhoods", "for every four schools that have been closed three have been in these neighborhoods", "for every four schools that have been closed three have been in these neighborhoods" ]
for every four schools that have been closed three have been in these neighborhoods
for every four schools that have been closed three have been in these neighborhoods.
for every four schools that have been closed three have been in these neighborhoods. for every four schools that have been closed three have been in these neighborhoods. for every four schools that have been closed three have been in these neighborhoods. for every four schools that have been closed three have been in these neighborhoods.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['for every four schools that have been closed three have been in these neighborhoods', 'for every four schools that have been closed three have been in these neighborhoods', 'for every four schools that have been closed three have been in these neighborhoods', 'for every four schools that have been closed three have been in these neighborhoods', 'for every four schools that have been closed three have been in these neighborhoods']
[ "however after three decades in power social credit had become tired and complacent", "however after three decades in power social credit had become tired and complacent", "however after three decades in power social credit had become tiered and complacent", "however after three decades in power social credit had become tiered and complacent", "however after three decades in power social credit had become tiered and complacent" ]
however after three decades in power social credit had become tired and complacent
however after three decades in power social credit had become tired and complacent.
however after three decades in power social credit had become tired and complacent. however after three decades in power social credit had become tiered and complacent. however after three decades in power social credit had become tiered and complacent. however after three decades in power social credit had become tiered and complacent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however after three decades in power social credit had become tired and complacent', 'however after three decades in power social credit had become tired and complacent', 'however after three decades in power social credit had become tiered and complacent', 'however after three decades in power social credit had become tiered and complacent', 'however after three decades in power social credit had become tiered and complacent']
[ "proudi nithyrium harvelli was larger and most specialized than its oligocene produces chilgar therium", "proudi nithyrium harvelli was larger and more specialized than its oligocene produces chilgar therium", "proudi nithyrium parvali was larger and most specialized than its oligocene produces chilgar therium", "proudi nithyrium parvali was larger and more specialized than its oligocene produces chilgar therium", "proudi nithirium harvelli was larger and most specialized than its oligocene produces chilgar therium" ]
prodeinotherium hobleyi was larger and more specialized than its oligocene predecessor chilgatherium
proudi nithyrium harvelli was larger and most specialized than its oligocene produces chilgar therium.
proudi nithyrium harvelli was larger and more specialized than its oligocene produces chilgar therium. proudi nithyrium parvali was larger and most specialized than its oligocene produces chilgar therium. proudi nithyrium parvali was larger and more specialized than its oligocene produces chilgar therium. proudi nithirium harvelli was larger and most specialized than its oligocene produces chilgar therium.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['proudi nithyrium harvelli was larger and most specialized than its oligocene produces chilgar therium', 'proudi nithyrium harvelli was larger and more specialized than its oligocene produces chilgar therium', 'proudi nithyrium parvali was larger and most specialized than its oligocene produces chilgar therium', 'proudi nithyrium parvali was larger and more specialized than its oligocene produces chilgar therium', 'proudi nithirium harvelli was larger and most specialized than its oligocene produces chilgar therium']
[ "as one of the senators he participated in the great sam", "as one of the senators he participated in the great sam", "as one of the senators he participated in the great sam", "as one of the senators he participated in the great sam", "as one of the senators he participated in the great sam" ]
as one of the senators he participated in the great sejm
as one of the senators he participated in the great sam.
as one of the senators he participated in the great sam. as one of the senators he participated in the great sam. as one of the senators he participated in the great sam. as one of the senators he participated in the great sam.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as one of the senators he participated in the great sam', 'as one of the senators he participated in the great sam', 'as one of the senators he participated in the great sam', 'as one of the senators he participated in the great sam', 'as one of the senators he participated in the great sam']
[ "medhart currently is the pitching coordinator for the washington nationals", "medha currently is the pitching coordinator for the washington nationals", "medhot currently is the pitching coordinator for the washington nationals", "manhot currently is the pitching coordinator for the washington nationals", "medhawk currently is the pitching coordinator for the washington nationals" ]
menhart currently is the pitching coordinator for the washington nationals
medhart currently is the pitching coordinator for the washington nationals.
medha currently is the pitching coordinator for the washington nationals. medhot currently is the pitching coordinator for the washington nationals. manhot currently is the pitching coordinator for the washington nationals. medhawk currently is the pitching coordinator for the washington nationals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['medhart currently is the pitching coordinator for the washington nationals', 'medha currently is the pitching coordinator for the washington nationals', 'medhot currently is the pitching coordinator for the washington nationals', 'manhot currently is the pitching coordinator for the washington nationals', 'medhawk currently is the pitching coordinator for the washington nationals']
[ "he discovered a total of sixty-six asteroids", "he discovered a total of sixty-six esteroids", "he discovered a total of sixty-six asteroids", "he discovered a total of sixty-six asteroids", "he discovered a total of sixty-six esteroids" ]
he discovered a total of sixty six asteroids
he discovered a total of sixty-six asteroids.
he discovered a total of sixty-six esteroids. he discovered a total of sixty-six asteroids. he discovered a total of sixty-six asteroids. he discovered a total of sixty-six esteroids.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he discovered a total of sixty-six asteroids', 'he discovered a total of sixty-six esteroids', 'he discovered a total of sixty-six asteroids', 'he discovered a total of sixty-six asteroids', 'he discovered a total of sixty-six esteroids']
[ "his sweetest citizenship was revoked and he was not allowed to play", "his swedish citizenship was revoked and he was not allowed to play", "his swedish citizenship was revoked and he was not allowed to play", "his sweetest citizenship was revoked and he was not allowed to play", "his swedish citizenship was revoked and he was not allowed to play" ]
his swedish citizenship was revoked and he was not allowed to play
his sweetest citizenship was revoked and he was not allowed to play.
his swedish citizenship was revoked and he was not allowed to play. his swedish citizenship was revoked and he was not allowed to play. his sweetest citizenship was revoked and he was not allowed to play. his swedish citizenship was revoked and he was not allowed to play.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his sweetest citizenship was revoked and he was not allowed to play', 'his swedish citizenship was revoked and he was not allowed to play', 'his swedish citizenship was revoked and he was not allowed to play', 'his sweetest citizenship was revoked and he was not allowed to play', 'his swedish citizenship was revoked and he was not allowed to play']
[ "home was born in south london", "home was born in south london", "home was born in south london", "home was born in south london", "home was born in south london" ]
home was born in south london
home was born in south london.
home was born in south london. home was born in south london. home was born in south london. home was born in south london.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['home was born in south london', 'home was born in south london', 'home was born in south london', 'home was born in south london', 'home was born in south london']
[ "ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hermeth peffy", "ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth peffy", "ad hoc hypotheses are often characteristic of pseudo scientific subjects such as permetpathy", "ad hoc hypotheses are often characteristic of pseudoscientific subjects such as hymeth peffy", "ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth pefi" ]
ad hoc hypotheses are often characteristic of pseudo scientific subjects such as homeopathy
ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hermeth peffy.
ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth peffy. ad hoc hypotheses are often characteristic of pseudo scientific subjects such as permetpathy. ad hoc hypotheses are often characteristic of pseudoscientific subjects such as hymeth peffy. ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth pefi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hermeth peffy', 'ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth peffy', 'ad hoc hypotheses are often characteristic of pseudo scientific subjects such as permetpathy', 'ad hoc hypotheses are often characteristic of pseudoscientific subjects such as hymeth peffy', 'ad hoc hypotheses are often characteristic of pseudo scientific subjects such as hymeth pefi']
[ "his mother and grandmother followed him in their grief", "his mother and grandmother followed him in their grief", "his mother and grandmother followed him in their grief", "his mother and grandmother followed him in their grief", "his mother and grandmother followed him in their grief" ]
his mother and grandmother followed him in their grief
his mother and grandmother followed him in their grief.
his mother and grandmother followed him in their grief. his mother and grandmother followed him in their grief. his mother and grandmother followed him in their grief. his mother and grandmother followed him in their grief.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his mother and grandmother followed him in their grief', 'his mother and grandmother followed him in their grief', 'his mother and grandmother followed him in their grief', 'his mother and grandmother followed him in their grief', 'his mother and grandmother followed him in their grief']
[ "he also studied with the north indian vocalist pandit pranath", "he also studied with the north indian vocalist pandit prannaath", "he also studied with the north indian vocalist pandit pranath", "he also studied with the north indian vocalist pandit pranath", "he also studied with the north indian vocalist pandit pranath" ]
he also studied with the north indian vocalist pandit pran nath
he also studied with the north indian vocalist pandit pranath.
he also studied with the north indian vocalist pandit prannaath. he also studied with the north indian vocalist pandit pranath. he also studied with the north indian vocalist pandit pranath. he also studied with the north indian vocalist pandit pranath.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also studied with the north indian vocalist pandit pranath', 'he also studied with the north indian vocalist pandit prannaath', 'he also studied with the north indian vocalist pandit pranath', 'he also studied with the north indian vocalist pandit pranath', 'he also studied with the north indian vocalist pandit pranath']
[ "home was ultimately fine for price manipulation", "home was ultimately fine to the price manipulation", "home was ultimately fined for price manipulation", "home was ultimately fine for prized manipulation", "home was ultimately found for price manipulation" ]
homm was ultimately fined for price manipulation
home was ultimately fine for price manipulation.
home was ultimately fine to the price manipulation. home was ultimately fined for price manipulation. home was ultimately fine for prized manipulation. home was ultimately found for price manipulation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['home was ultimately fine for price manipulation', 'home was ultimately fine to the price manipulation', 'home was ultimately fined for price manipulation', 'home was ultimately fine for prized manipulation', 'home was ultimately found for price manipulation']
[ "despite any promising performances cameron has yet to win an international roleways", "despite any promising performances cameron has yet to win an international role base", "despite any promising performances cameron has yet to win an international role base", "despite any promising performances cameron has yet to win an international role based", "despite any promising performances cameron has yet to win an international role based" ]
despite many promising performances cameron has yet to win an international road race
despite any promising performances cameron has yet to win an international roleways.
despite any promising performances cameron has yet to win an international role base. despite any promising performances cameron has yet to win an international role base. despite any promising performances cameron has yet to win an international role based. despite any promising performances cameron has yet to win an international role based.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['despite any promising performances cameron has yet to win an international roleways', 'despite any promising performances cameron has yet to win an international role base', 'despite any promising performances cameron has yet to win an international role base', 'despite any promising performances cameron has yet to win an international role based', 'despite any promising performances cameron has yet to win an international role based']
[ "he has three children", "he has treated him", "he has sweet children", "he has three children", "he has seen children" ]
he has three children
he has three children.
he has treated him. he has sweet children. he has three children. he has seen children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he has three children', 'he has treated him', 'he has sweet children', 'he has three children', 'he has seen children']
[ "the router provides logical network termination", "the router provides the logical network termination", "the rotor provides logical network termination", "the router provides logical network termination", "the router provides a logical network termination" ]
the router provides the logical network termination
the router provides logical network termination.
the router provides the logical network termination. the rotor provides logical network termination. the router provides logical network termination. the router provides a logical network termination.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the router provides logical network termination', 'the router provides the logical network termination', 'the rotor provides logical network termination', 'the router provides logical network termination', 'the router provides a logical network termination']
[ "she went into the underworld disguised and sought out set", "she went into the underworld disguised and sought out set", "she went into the underworld disguised and sought outset", "shrew into the underworld disguised and sort out set", "she went into the underworld disguised and sought outset" ]
she went into the underworld disguised and sought out set
she went into the underworld disguised and sought out set.
she went into the underworld disguised and sought out set. she went into the underworld disguised and sought outset. shrew into the underworld disguised and sort out set. she went into the underworld disguised and sought outset.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she went into the underworld disguised and sought out set', 'she went into the underworld disguised and sought out set', 'she went into the underworld disguised and sought outset', 'shrew into the underworld disguised and sort out set', 'she went into the underworld disguised and sought outset']