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
[ "his tenure proved controversial", "his tenured proved controversial", "his tenured true controversial", "his tenured crude controversial", "his tenured true controversial" ]
his tenure proved controversial
his tenure proved controversial.
his tenured proved controversial. his tenured true controversial. his tenured crude controversial. his tenured true controversial.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his tenure proved controversial', 'his tenured proved controversial', 'his tenured true controversial', 'his tenured crude controversial', 'his tenured true controversial']
[ "since then the sa has been widely reprinted and celebrated in anthologies", "since then the sa has been widely reprinted and celebrated in anthologies", "since then the s a has been widely reputed and celebrated in anthologies", "since then the sa has been widely reprinted and celebrated in anthologies", "since then the sa has been widely reprinted and celebrated in anthologies" ]
since then the essay has been widely reprinted and celebrated in anthologies
since then the sa has been widely reprinted and celebrated in anthologies.
since then the sa has been widely reprinted and celebrated in anthologies. since then the s a has been widely reputed and celebrated in anthologies. since then the sa has been widely reprinted and celebrated in anthologies. since then the sa has been widely reprinted and celebrated in anthologies.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since then the sa has been widely reprinted and celebrated in anthologies', 'since then the sa has been widely reprinted and celebrated in anthologies', 'since then the s a has been widely reputed and celebrated in anthologies', 'since then the sa has been widely reprinted and celebrated in anthologies', 'since then the sa has been widely reprinted and celebrated in anthologies']
[ "three different formats of the remaster were made available", "three different formats of the remaster were made available", "three different formats of the remaster were made available", "three different formats of the remaster were made available", "three different formats of the remaster were made available" ]
three different formats of the remaster were made available
three different formats of the remaster were made available.
three different formats of the remaster were made available. three different formats of the remaster were made available. three different formats of the remaster were made available. three different formats of the remaster were made available.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['three different formats of the remaster were made available', 'three different formats of the remaster were made available', 'three different formats of the remaster were made available', 'three different formats of the remaster were made available', 'three different formats of the remaster were made available']
[ "ship settings are of varying sizes some of monumental proportions", "ship settings are varying sizes some of monumental proportions", "ship settings are of varying sizes some of monumental proportions", "ship settings are of varying sizes some of monumental proportions", "ship settings are of varying sizes some of monumental proportions" ]
ship settings are of varying sizes some of monumental proportions
ship settings are of varying sizes some of monumental proportions.
ship settings are varying sizes some of monumental proportions. ship settings are of varying sizes some of monumental proportions. ship settings are of varying sizes some of monumental proportions. ship settings are of varying sizes some of monumental proportions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ship settings are of varying sizes some of monumental proportions', 'ship settings are varying sizes some of monumental proportions', 'ship settings are of varying sizes some of monumental proportions', 'ship settings are of varying sizes some of monumental proportions', 'ship settings are of varying sizes some of monumental proportions']
[ "the food is usually cantonese where the chef are from hong kong", "the food is usually cantonese where the chef are from hong kong", "the food is usually cantonese where the chefs are from hong kong", "the foot is usually cantonese where the chef are from hong kong", "the poor is usually cantonese where the chef are from hong kong" ]
the food is usually cantonese where the chefs are from hong kong
the food is usually cantonese where the chef are from hong kong.
the food is usually cantonese where the chef are from hong kong. the food is usually cantonese where the chefs are from hong kong. the foot is usually cantonese where the chef are from hong kong. the poor is usually cantonese where the chef are from hong kong.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the food is usually cantonese where the chef are from hong kong', 'the food is usually cantonese where the chef are from hong kong', 'the food is usually cantonese where the chefs are from hong kong', 'the foot is usually cantonese where the chef are from hong kong', 'the poor is usually cantonese where the chef are from hong kong']
[ "it was a ghost image of alpha leon is", "it was the ghost image of alpha leon is", "it was the ghost image of alpha lyons", "it was a ghost image of alpha lyons", "it was a ghost image of alpha lions" ]
it was a ghost image of alpha leonis
it was a ghost image of alpha leon is.
it was the ghost image of alpha leon is. it was the ghost image of alpha lyons. it was a ghost image of alpha lyons. it was a ghost image of alpha lions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was a ghost image of alpha leon is', 'it was the ghost image of alpha leon is', 'it was the ghost image of alpha lyons', 'it was a ghost image of alpha lyons', 'it was a ghost image of alpha lions']
[ "do not keep saying no no", "do not keep saying no no", "do not keep saying no no", "do not keep saying no no", "do not keep saying no no" ]
do not keep saying no no
do not keep saying no no.
do not keep saying no no. do not keep saying no no. do not keep saying no no. do not keep saying no no.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['do not keep saying no no', 'do not keep saying no no', 'do not keep saying no no', 'do not keep saying no no', 'do not keep saying no no']
[ "located in the same area are many producers in fine furniture", "located in the same area are many producers in fine furniture", "located in the same area are many producers and fine furniture", "located in the same area are many producers in fine furniture", "located in the same area are many producers of fine furniture" ]
located in the same area are many producers of fine furniture
located in the same area are many producers in fine furniture.
located in the same area are many producers in fine furniture. located in the same area are many producers and fine furniture. located in the same area are many producers in fine furniture. located in the same area are many producers of fine furniture.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['located in the same area are many producers in fine furniture', 'located in the same area are many producers in fine furniture', 'located in the same area are many producers and fine furniture', 'located in the same area are many producers in fine furniture', 'located in the same area are many producers of fine furniture']
[ "further downstream the wilson river receives the north folk meal leaf cam", "further downstream the wilson river receives the north folk meal leaf camera", "further downstream the wilson river receives the north folk meal leaf camp", "for the downstream the wilson river receives the north folk meal leaf cam", "further downstream the wilson river receives the north folk meal leaf camp" ]
further downstream the wilson river receives the north fork near lees camp
further downstream the wilson river receives the north folk meal leaf cam.
further downstream the wilson river receives the north folk meal leaf camera. further downstream the wilson river receives the north folk meal leaf camp. for the downstream the wilson river receives the north folk meal leaf cam. further downstream the wilson river receives the north folk meal leaf camp.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['further downstream the wilson river receives the north folk meal leaf cam', 'further downstream the wilson river receives the north folk meal leaf camera', 'further downstream the wilson river receives the north folk meal leaf camp', 'for the downstream the wilson river receives the north folk meal leaf cam', 'further downstream the wilson river receives the north folk meal leaf camp']
[ "there are also hot springs and sacred grotto of a polar", "there are also hot springs and sacred gutter of a polar", "there are also hot springs and sacred grotto of apollo", "there are also hot springs and sacred gotter of a polar", "there were also hot springs and sacred grotto of a polar" ]
there are also hot springs and a sacred grotto of apollo
there are also hot springs and sacred grotto of a polar.
there are also hot springs and sacred gutter of a polar. there are also hot springs and sacred grotto of apollo. there are also hot springs and sacred gotter of a polar. there were also hot springs and sacred grotto of a polar.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are also hot springs and sacred grotto of a polar', 'there are also hot springs and sacred gutter of a polar', 'there are also hot springs and sacred grotto of apollo', 'there are also hot springs and sacred gotter of a polar', 'there were also hot springs and sacred grotto of a polar']
[ "it is relative major as d major and it is parallel major as b major", "its relative major is d major and its parallel major is b major", "its relative major is d major and its parallel major is b major", "it is relative major as d major and it is parallel major as b major", "it is relative major is d major and it is parallel major is b major" ]
its relative major is d major and its parallel major is b major
it is relative major as d major and it is parallel major as b major.
its relative major is d major and its parallel major is b major. its relative major is d major and its parallel major is b major. it is relative major as d major and it is parallel major as b major. it is relative major is d major and it is parallel major is b major.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is relative major as d major and it is parallel major as b major', 'its relative major is d major and its parallel major is b major', 'its relative major is d major and its parallel major is b major', 'it is relative major as d major and it is parallel major as b major', 'it is relative major is d major and it is parallel major is b major']
[ "every episode was pre recorded in black and white before the broadcast date", "every episode was prerecorded in black and white before the broadcast date", "every episode was pre recorded in black and white before the broadcast date", "every episode was pre recorded in black and white before the broadcast date", "every episode was pre recorded in black and white before the broadcast date" ]
every episode was pre recorded in black and white before the broadcast date
every episode was pre recorded in black and white before the broadcast date.
every episode was prerecorded in black and white before the broadcast date. every episode was pre recorded in black and white before the broadcast date. every episode was pre recorded in black and white before the broadcast date. every episode was pre recorded in black and white before the broadcast date.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['every episode was pre recorded in black and white before the broadcast date', 'every episode was prerecorded in black and white before the broadcast date', 'every episode was pre recorded in black and white before the broadcast date', 'every episode was pre recorded in black and white before the broadcast date', 'every episode was pre recorded in black and white before the broadcast date']
[ "the river rod back flows through the village", "the river rodback flows through the village", "the river road back flows through the village", "the river brought back flows through the village", "the river rod back flows through the village" ]
the river rotbach flows through the village
the river rod back flows through the village.
the river rodback flows through the village. the river road back flows through the village. the river brought back flows through the village. the river rod back flows through the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the river rod back flows through the village', 'the river rodback flows through the village', 'the river road back flows through the village', 'the river brought back flows through the village', 'the river rod back flows through the village']
[ "shnabem also released that you was another box office here", "shnabim also released that you was another box office here", "shnabem also released that you was another box office hit", "shnabem also released that u was another box office here", "shnavim also released that you was another box office here" ]
shabnam also released that year was another box office hit
shnabem also released that you was another box office here.
shnabim also released that you was another box office here. shnabem also released that you was another box office hit. shnabem also released that u was another box office here. shnavim also released that you was another box office here.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shnabem also released that you was another box office here', 'shnabim also released that you was another box office here', 'shnabem also released that you was another box office hit', 'shnabem also released that u was another box office here', 'shnavim also released that you was another box office here']
[ "renville is economy passed and presented its base largely upon agribusiness", "renville is economy passed and present its base largely upon agribusiness", "renville is economy passed and presented its based largely upon agribusiness", "renewal is economy passed and presented its base largely upon agribusiness", "renewal is economy passed and present its base largely upon agribusiness" ]
renville is economy past and present is based largely upon agribusiness
renville is economy passed and presented its base largely upon agribusiness.
renville is economy passed and present its base largely upon agribusiness. renville is economy passed and presented its based largely upon agribusiness. renewal is economy passed and presented its base largely upon agribusiness. renewal is economy passed and present its base largely upon agribusiness.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['renville is economy passed and presented its base largely upon agribusiness', 'renville is economy passed and present its base largely upon agribusiness', 'renville is economy passed and presented its based largely upon agribusiness', 'renewal is economy passed and presented its base largely upon agribusiness', 'renewal is economy passed and present its base largely upon agribusiness']
[ "i am sure his guilty but he knows it", "i am sure his guilty but he knows it", "i am sure his guilty but he knows it", "i am sure he is guilty but he knows it", "i am sure his guilty but he knows it" ]
i am sure he is guilty but he knows it
i am sure his guilty but he knows it.
i am sure his guilty but he knows it. i am sure his guilty but he knows it. i am sure he is guilty but he knows it. i am sure his guilty but he knows it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i am sure his guilty but he knows it', 'i am sure his guilty but he knows it', 'i am sure his guilty but he knows it', 'i am sure he is guilty but he knows it', 'i am sure his guilty but he knows it']
[ "the work is a popular destination for tourists and locals especially during hanabi", "the work is a popular destination for tourists and locals especially during hanami", "the walk is a popular destination for tourists and locals especially during hanabi", "the walk is a popular destination for tourists and locals especially during hanami", "the work is a popular destination for tourist and locals especially during hanabi" ]
the walk is a popular destination for tourists and locals especially during hanami
the work is a popular destination for tourists and locals especially during hanabi.
the work is a popular destination for tourists and locals especially during hanami. the walk is a popular destination for tourists and locals especially during hanabi. the walk is a popular destination for tourists and locals especially during hanami. the work is a popular destination for tourist and locals especially during hanabi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the work is a popular destination for tourists and locals especially during hanabi', 'the work is a popular destination for tourists and locals especially during hanami', 'the walk is a popular destination for tourists and locals especially during hanabi', 'the walk is a popular destination for tourists and locals especially during hanami', 'the work is a popular destination for tourist and locals especially during hanabi']
[ "the octylony column at calcutta commemorates his name", "the octylony column at calcutta commemorates his name", "the octagonal column at calcutta commemorates his name", "the octahedral column at calcutta commemorates his name", "the octahedron column at calcutta commemorates his name" ]
the ochterlony column at calcutta commemorates his name
the octylony column at calcutta commemorates his name.
the octylony column at calcutta commemorates his name. the octagonal column at calcutta commemorates his name. the octahedral column at calcutta commemorates his name. the octahedron column at calcutta commemorates his name.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the octylony column at calcutta commemorates his name', 'the octylony column at calcutta commemorates his name', 'the octagonal column at calcutta commemorates his name', 'the octahedral column at calcutta commemorates his name', 'the octahedron column at calcutta commemorates his name']
[ "most of us novels are essential readings in puerto rican literature courses", "most of his novels are essential readings in puerto rican literature courses", "most of its novels are essential readings in puerto rican literature courses", "most of us nobles are essential readings in puerto rican literature courses", "most of us novel is are essential readings in puerto rican literature courses" ]
most of his novels are essential readings in puerto rican literature courses
most of us novels are essential readings in puerto rican literature courses.
most of his novels are essential readings in puerto rican literature courses. most of its novels are essential readings in puerto rican literature courses. most of us nobles are essential readings in puerto rican literature courses. most of us novel is are essential readings in puerto rican literature courses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of us novels are essential readings in puerto rican literature courses', 'most of his novels are essential readings in puerto rican literature courses', 'most of its novels are essential readings in puerto rican literature courses', 'most of us nobles are essential readings in puerto rican literature courses', 'most of us novel is are essential readings in puerto rican literature courses']
[ "huffle was born in philadelphia pennsylvania to joseph faneleon or huffle", "huffle was born in philadelphia pennsylvania to joseph finally in all huffle", "huffle was born in philadelphia pennsylvania to joseph finally in all huffle", "huffle was born in philadelphia pennsylvania to joseph finally in all huffle", "huffle was born in philadelphia pennsylvania to joseph finally and all huffle" ]
hoeffel was born in philadelphia pennsylvania to joseph and eleanore hoeffel
huffle was born in philadelphia pennsylvania to joseph faneleon or huffle.
huffle was born in philadelphia pennsylvania to joseph finally in all huffle. huffle was born in philadelphia pennsylvania to joseph finally in all huffle. huffle was born in philadelphia pennsylvania to joseph finally in all huffle. huffle was born in philadelphia pennsylvania to joseph finally and all huffle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['huffle was born in philadelphia pennsylvania to joseph faneleon or huffle', 'huffle was born in philadelphia pennsylvania to joseph finally in all huffle', 'huffle was born in philadelphia pennsylvania to joseph finally in all huffle', 'huffle was born in philadelphia pennsylvania to joseph finally in all huffle', 'huffle was born in philadelphia pennsylvania to joseph finally and all huffle']
[ "its administrative center is rivni", "it is administrative center is rivni", "its administrative center is rivni", "it is administrative center is rivni", "it is administrative center is rivney" ]
its administrative center is rivne
its administrative center is rivni.
it is administrative center is rivni. its administrative center is rivni. it is administrative center is rivni. it is administrative center is rivney.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['its administrative center is rivni', 'it is administrative center is rivni', 'its administrative center is rivni', 'it is administrative center is rivni', 'it is administrative center is rivney']
[ "think is also on the board of the robinhood foundation", "think is also on the board of the robin hood foundation", "fink is also on the board of the robinhood foundation", "fink is also on the board of the robin hood foundation", "think is also on the board of the robinhood foundation" ]
fink is also on the board of the robin hood foundation
think is also on the board of the robinhood foundation.
think is also on the board of the robin hood foundation. fink is also on the board of the robinhood foundation. fink is also on the board of the robin hood foundation. think is also on the board of the robinhood foundation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['think is also on the board of the robinhood foundation', 'think is also on the board of the robin hood foundation', 'fink is also on the board of the robinhood foundation', 'fink is also on the board of the robin hood foundation', 'think is also on the board of the robinhood foundation']
[ "during bulgaria is chairmanship serbia became a full member", "during bulgaria is chairmanship serbia became a full member", "during bulgaria is chairmanship serbia became a full member", "during bulgaria is chairman ship serbia became a full member", "during bulgaria is chairman ship serbia became a full member" ]
during bulgaria is chairmanship serbia became a full member
during bulgaria is chairmanship serbia became a full member.
during bulgaria is chairmanship serbia became a full member. during bulgaria is chairmanship serbia became a full member. during bulgaria is chairman ship serbia became a full member. during bulgaria is chairman ship serbia became a full member.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['during bulgaria is chairmanship serbia became a full member', 'during bulgaria is chairmanship serbia became a full member', 'during bulgaria is chairmanship serbia became a full member', 'during bulgaria is chairman ship serbia became a full member', 'during bulgaria is chairman ship serbia became a full member']
[ "like so many of the early christian authors latin theas depended on classical models", "like so many of the early christian authors latin theas depended on classical models", "like so many of the early christian authors latin theos depended on classical models", "like so many of the early christian authors latin theos depended on classical models", "like so many of the early christian authors latin theas depended on classical modules" ]
like so many of the early christian authors lactantius depended on classical models
like so many of the early christian authors latin theas depended on classical models.
like so many of the early christian authors latin theas depended on classical models. like so many of the early christian authors latin theos depended on classical models. like so many of the early christian authors latin theos depended on classical models. like so many of the early christian authors latin theas depended on classical modules.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like so many of the early christian authors latin theas depended on classical models', 'like so many of the early christian authors latin theas depended on classical models', 'like so many of the early christian authors latin theos depended on classical models', 'like so many of the early christian authors latin theos depended on classical models', 'like so many of the early christian authors latin theas depended on classical modules']
[ "most of his career though he spent at the university of strasbourg", "most of his career though he spent at the university of strasbourg", "most of his career though he spent at the university of strasbourg", "most of his career though he is spent at the university of strasbourg", "most of his career though he spent at the university of strasbourg" ]
most of his career though he spent at the university of strasbourg
most of his career though he spent at the university of strasbourg.
most of his career though he spent at the university of strasbourg. most of his career though he spent at the university of strasbourg. most of his career though he is spent at the university of strasbourg. most of his career though he spent at the university of strasbourg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of his career though he spent at the university of strasbourg', 'most of his career though he spent at the university of strasbourg', 'most of his career though he spent at the university of strasbourg', 'most of his career though he is spent at the university of strasbourg', 'most of his career though he spent at the university of strasbourg']
[ "the immigration of much maligned japanese", "the immigration of much my land japanese libraries", "this under the immigration of much maligned japanese", "the immigration of much maligned japanese libraries", "this under the immigration of much maligned japanese" ]
this ended the immigration of much maligned japanese laborers
the immigration of much maligned japanese.
the immigration of much my land japanese libraries. this under the immigration of much maligned japanese. the immigration of much maligned japanese libraries. this under the immigration of much maligned japanese.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the immigration of much maligned japanese', 'the immigration of much my land japanese libraries', 'this under the immigration of much maligned japanese', 'the immigration of much maligned japanese libraries', 'this under the immigration of much maligned japanese']
[ "it is a ravy beat oriented sound", "it is a ravi beat oriented sound", "it is a ravy beat oriented sound", "it is a ravi beat oriented sound", "it is a rabie beat oriented sound" ]
it is a rave y beat oriented sound
it is a ravy beat oriented sound.
it is a ravi beat oriented sound. it is a ravy beat oriented sound. it is a ravi beat oriented sound. it is a rabie beat oriented sound.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a ravy beat oriented sound', 'it is a ravi beat oriented sound', 'it is a ravy beat oriented sound', 'it is a ravi beat oriented sound', 'it is a rabie beat oriented sound']
[ "military gliders allow crews to arrive at the drop zone along with their vehicles", "military colliders allow crews to arrive at the drop zone along with their vehicles", "military gliders allow crews to arrive at the trop zone along with their vehicles", "military colliders allow crews to arrive at the trop zone along with their vehicles", "military gliders allow crews to arrive at the trop zone along with their vehicles" ]
military gliders allow crews to arrive at the drop zone along with their vehicles
military gliders allow crews to arrive at the drop zone along with their vehicles.
military colliders allow crews to arrive at the drop zone along with their vehicles. military gliders allow crews to arrive at the trop zone along with their vehicles. military colliders allow crews to arrive at the trop zone along with their vehicles. military gliders allow crews to arrive at the trop zone along with their vehicles.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['military gliders allow crews to arrive at the drop zone along with their vehicles', 'military colliders allow crews to arrive at the drop zone along with their vehicles', 'military gliders allow crews to arrive at the trop zone along with their vehicles', 'military colliders allow crews to arrive at the trop zone along with their vehicles', 'military gliders allow crews to arrive at the trop zone along with their vehicles']
[ "it is primarily used for ice hockey and is the home arena of tutto", "it is primarily used for ice hockey and is the home arena of tuto", "it is primarily used for ice hockey and is the home arena of tutor", "it is primarily used for ice hockey and is the home arena of tuto", "it is primarily used for ice hockey and it is the home arena of tutto" ]
it is primarily used for ice hockey and is the home arena of tuto
it is primarily used for ice hockey and is the home arena of tutto.
it is primarily used for ice hockey and is the home arena of tuto. it is primarily used for ice hockey and is the home arena of tutor. it is primarily used for ice hockey and is the home arena of tuto. it is primarily used for ice hockey and it is the home arena of tutto.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is primarily used for ice hockey and is the home arena of tutto', 'it is primarily used for ice hockey and is the home arena of tuto', 'it is primarily used for ice hockey and is the home arena of tutor', 'it is primarily used for ice hockey and is the home arena of tuto', 'it is primarily used for ice hockey and it is the home arena of tutto']
[ "clorosaylanon helps the potential for causing lethal topsy city", "cloroselanon helps the potential for causing lethal topsy city", "cloros zelenon helps the potential for causing lethal topsy city", "clorosale and all help the potential for causing lethal topsy city", "clorro zelenon helps the potential for causing lethal topsy city" ]
chloroxylenol has the potential for causing lethal toxicity
clorosaylanon helps the potential for causing lethal topsy city.
cloroselanon helps the potential for causing lethal topsy city. cloros zelenon helps the potential for causing lethal topsy city. clorosale and all help the potential for causing lethal topsy city. clorro zelenon helps the potential for causing lethal topsy city.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['clorosaylanon helps the potential for causing lethal topsy city', 'cloroselanon helps the potential for causing lethal topsy city', 'cloros zelenon helps the potential for causing lethal topsy city', 'clorosale and all help the potential for causing lethal topsy city', 'clorro zelenon helps the potential for causing lethal topsy city']
[ "he was also a prolific taxonomist", "he was also a prolific textonomist", "he was also a prolific textanomist", "he was also a prolific taxonomist", "he was also a prolific texanomist" ]
he also was a prolific taxonomist
he was also a prolific taxonomist.
he was also a prolific textonomist. he was also a prolific textanomist. he was also a prolific taxonomist. he was also a prolific texanomist.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was also a prolific taxonomist', 'he was also a prolific textonomist', 'he was also a prolific textanomist', 'he was also a prolific taxonomist', 'he was also a prolific texanomist']
[ "they are tree children stephen david and mercedes", "they are tree children stephen david and mercedes", "they are three children stephen david and mercedes", "they are three children stephen david and mercedes", "they are tree children steven david and mercedes" ]
they had three children steven david and mercedes
they are tree children stephen david and mercedes.
they are tree children stephen david and mercedes. they are three children stephen david and mercedes. they are three children stephen david and mercedes. they are tree children steven david and mercedes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are tree children stephen david and mercedes', 'they are tree children stephen david and mercedes', 'they are three children stephen david and mercedes', 'they are three children stephen david and mercedes', 'they are tree children steven david and mercedes']
[ "computing is formulas using integration would be much more difficult", "computing is formula using integration would be much more difficult", "computing is formalized using integration would be much more difficult", "computing is formulized using integration would be much more difficult", "computing is formulas using integration would be much more difficult" ]
computing these formulas using integration would be much more difficult
computing is formulas using integration would be much more difficult.
computing is formula using integration would be much more difficult. computing is formalized using integration would be much more difficult. computing is formulized using integration would be much more difficult. computing is formulas using integration would be much more difficult.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['computing is formulas using integration would be much more difficult', 'computing is formula using integration would be much more difficult', 'computing is formalized using integration would be much more difficult', 'computing is formulized using integration would be much more difficult', 'computing is formulas using integration would be much more difficult']
[ "actually pure systems are mainly sampled at this site", "actually pure systems are mainly assembled at this site", "actually pure systems are mainly simple at this site", "actually pure systems are mainly sampled at this site", "actually pure systems are mainly simple at this site" ]
actually puresystems are mainly assembled at this site
actually pure systems are mainly sampled at this site.
actually pure systems are mainly assembled at this site. actually pure systems are mainly simple at this site. actually pure systems are mainly sampled at this site. actually pure systems are mainly simple at this site.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['actually pure systems are mainly sampled at this site', 'actually pure systems are mainly assembled at this site', 'actually pure systems are mainly simple at this site', 'actually pure systems are mainly sampled at this site', 'actually pure systems are mainly simple at this site']
[ "society i own is necessary to me", "society our own is necessary to me", "society i own is necessary to me", "society i own is necessary to me", "society i own is necessary to me" ]
society i own is necessary to me
society i own is necessary to me.
society our own is necessary to me. society i own is necessary to me. society i own is necessary to me. society i own is necessary to me.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['society i own is necessary to me', 'society our own is necessary to me', 'society i own is necessary to me', 'society i own is necessary to me', 'society i own is necessary to me']
[ "these events and the characters involved with them are eventually shown to be interconnected", "these events and the characters involved with them are eventually shown to be interconnected", "these events and the characters involved with them are eventually shown to be interconnected", "these events and the characters involved with them are eventually shown to be interconnected", "these events and the characters involved with them are eventually shown to be interconnected" ]
these events and the characters involved with them are eventually shown to be interconnected
these events and the characters involved with them are eventually shown to be interconnected.
these events and the characters involved with them are eventually shown to be interconnected. these events and the characters involved with them are eventually shown to be interconnected. these events and the characters involved with them are eventually shown to be interconnected. these events and the characters involved with them are eventually shown to be interconnected.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these events and the characters involved with them are eventually shown to be interconnected', 'these events and the characters involved with them are eventually shown to be interconnected', 'these events and the characters involved with them are eventually shown to be interconnected', 'these events and the characters involved with them are eventually shown to be interconnected', 'these events and the characters involved with them are eventually shown to be interconnected']
[ "you never married and had no children", "you never married and heard no children", "you never married and her new children", "you never married and her no children", "you never met and heard no children" ]
he never married and had no children
you never married and had no children.
you never married and heard no children. you never married and her new children. you never married and her no children. you never met and heard no children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['you never married and had no children', 'you never married and heard no children', 'you never married and her new children', 'you never married and her no children', 'you never met and heard no children']
[ "as a landlocked country burundi possesses no coastline", "as a landlocked country barundi possesses no coastline", "as a landlocked country brandi possesses no coastline", "as a land locked country burundi possesses no coastline", "as a landlocked country burrundi possesses no coastline" ]
as a landlocked country burundi possesses no coastline
as a landlocked country burundi possesses no coastline.
as a landlocked country barundi possesses no coastline. as a landlocked country brandi possesses no coastline. as a land locked country burundi possesses no coastline. as a landlocked country burrundi possesses no coastline.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a landlocked country burundi possesses no coastline', 'as a landlocked country barundi possesses no coastline', 'as a landlocked country brandi possesses no coastline', 'as a land locked country burundi possesses no coastline', 'as a landlocked country burrundi possesses no coastline']
[ "the japanese colonial government eliminate opm using taiwan", "the japanese colonial government eliminated opm using taiwan", "the japanese colonial government eliminate opium using taiwan", "the japanese colonial government eliminate opium use in taiwan", "the japanese colonial government eliminate opm using taiwan" ]
the japanese colonial government eliminate opium use in taiwan
the japanese colonial government eliminate opm using taiwan.
the japanese colonial government eliminated opm using taiwan. the japanese colonial government eliminate opium using taiwan. the japanese colonial government eliminate opium use in taiwan. the japanese colonial government eliminate opm using taiwan.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the japanese colonial government eliminate opm using taiwan', 'the japanese colonial government eliminated opm using taiwan', 'the japanese colonial government eliminate opium using taiwan', 'the japanese colonial government eliminate opium use in taiwan', 'the japanese colonial government eliminate opm using taiwan']
[ "the monastery today is an important place for buddhist ceremonies and activities", "the monastery today is an important place for buddhist ceremonies and activities", "the monastery today is an important place for buddhist ceremonies and activities", "the monastery today is an important place for buddhist ceremonies and activities", "the monastery today is an important place for buddhist ceremonies and activities" ]
the monastery today is an important place for buddhist ceremonies and activities
the monastery today is an important place for buddhist ceremonies and activities.
the monastery today is an important place for buddhist ceremonies and activities. the monastery today is an important place for buddhist ceremonies and activities. the monastery today is an important place for buddhist ceremonies and activities. the monastery today is an important place for buddhist ceremonies and activities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the monastery today is an important place for buddhist ceremonies and activities', 'the monastery today is an important place for buddhist ceremonies and activities', 'the monastery today is an important place for buddhist ceremonies and activities', 'the monastery today is an important place for buddhist ceremonies and activities', 'the monastery today is an important place for buddhist ceremonies and activities']
[ "it is a class usually overlooked in traditional discussions", "it is a class usually overlooked in the traditional discussions", "it is a class usually overlooked in traditional discussions", "it is a class usually overlooked in traditional discussions", "it is a class usually overlooked in traditional discussions" ]
it is a class usually overlooked in traditional discussions
it is a class usually overlooked in traditional discussions.
it is a class usually overlooked in the traditional discussions. it is a class usually overlooked in traditional discussions. it is a class usually overlooked in traditional discussions. it is a class usually overlooked in traditional discussions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a class usually overlooked in traditional discussions', 'it is a class usually overlooked in the traditional discussions', 'it is a class usually overlooked in traditional discussions', 'it is a class usually overlooked in traditional discussions', 'it is a class usually overlooked in traditional discussions']
[ "he opposed the union after its enactment", "he opposed the union after its enactment", "he opposed the union after its enactment", "opposed the union after its enactment", "he opposed the union after it is enactment" ]
he opposed the union after its enactment
he opposed the union after its enactment.
he opposed the union after its enactment. he opposed the union after its enactment. opposed the union after its enactment. he opposed the union after it is enactment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he opposed the union after its enactment', 'he opposed the union after its enactment', 'he opposed the union after its enactment', 'opposed the union after its enactment', 'he opposed the union after it is enactment']
[ "the researchers cited previous research to support their conclusions", "the researcher cited previous research to support their conclusions", "the researchers cited previous research to support their conclusions", "the researchers sighted previous research to support their conclusions", "the researchers cited a previous research to support their conclusions" ]
the researchers cited previous research to support their conclusions
the researchers cited previous research to support their conclusions.
the researcher cited previous research to support their conclusions. the researchers cited previous research to support their conclusions. the researchers sighted previous research to support their conclusions. the researchers cited a previous research to support their conclusions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the researchers cited previous research to support their conclusions', 'the researcher cited previous research to support their conclusions', 'the researchers cited previous research to support their conclusions', 'the researchers sighted previous research to support their conclusions', 'the researchers cited a previous research to support their conclusions']
[ "he is currently doing graduate work in his field of research", "he is currently doing graduate work and he is field of research", "he is currently doing graduate work and he is field of research", "he is currently doing graduate work and he is field of research", "he is currently doing graduate work and he is field of research" ]
he is currently doing graduate work in his field of research
he is currently doing graduate work in his field of research.
he is currently doing graduate work and he is field of research. he is currently doing graduate work and he is field of research. he is currently doing graduate work and he is field of research. he is currently doing graduate work and he is field of research.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is currently doing graduate work in his field of research', 'he is currently doing graduate work and he is field of research', 'he is currently doing graduate work and he is field of research', 'he is currently doing graduate work and he is field of research', 'he is currently doing graduate work and he is field of research']
[ "the branch breaks and traps his pool", "the branch breaks and chops is poor", "the branch breaks and traps is poor", "the branch breaks and traps his paw", "the branch breaks and chops his paw" ]
the branch breaks and traps his paw
the branch breaks and traps his pool.
the branch breaks and chops is poor. the branch breaks and traps is poor. the branch breaks and traps his paw. the branch breaks and chops his paw.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the branch breaks and traps his pool', 'the branch breaks and chops is poor', 'the branch breaks and traps is poor', 'the branch breaks and traps his paw', 'the branch breaks and chops his paw']
[ "he was elected to three other terms", "he was elected to three other terms", "he was elected to the three other terms", "he was elected to treal other terms", "he was elected to the three other terms" ]
he was elected to three other terms
he was elected to three other terms.
he was elected to three other terms. he was elected to the three other terms. he was elected to treal other terms. he was elected to the three other terms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was elected to three other terms', 'he was elected to three other terms', 'he was elected to the three other terms', 'he was elected to treal other terms', 'he was elected to the three other terms']
[ "fast through restaurants use buns and tops sprinkled with sesame seeds", "fast through restaurants use buns and tops wrinkled with sesame seeds", "fast rule restaurants use buns and tops sprinkled with sesame seeds", "fast through restaurants use buns and tops sprinkled with sesame seeds", "fast food restaurants use buns and tops sprinkled with sesame seeds" ]
fast food restaurants use buns with tops sprinkled with sesame seeds
fast through restaurants use buns and tops sprinkled with sesame seeds.
fast through restaurants use buns and tops wrinkled with sesame seeds. fast rule restaurants use buns and tops sprinkled with sesame seeds. fast through restaurants use buns and tops sprinkled with sesame seeds. fast food restaurants use buns and tops sprinkled with sesame seeds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fast through restaurants use buns and tops sprinkled with sesame seeds', 'fast through restaurants use buns and tops wrinkled with sesame seeds', 'fast rule restaurants use buns and tops sprinkled with sesame seeds', 'fast through restaurants use buns and tops sprinkled with sesame seeds', 'fast food restaurants use buns and tops sprinkled with sesame seeds']
[ "and disk jockey holds a picture of michael jackson", "and this chocolate holds a picture of michael jackson", "and disk jockey holds a picture of michael jackson", "and disk jockey holds a picture of michael jackson", "a disk jockey holds a picture of michael jackson" ]
a disk jockey holds a picture of michael jackson
and disk jockey holds a picture of michael jackson.
and this chocolate holds a picture of michael jackson. and disk jockey holds a picture of michael jackson. and disk jockey holds a picture of michael jackson. a disk jockey holds a picture of michael jackson.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and disk jockey holds a picture of michael jackson', 'and this chocolate holds a picture of michael jackson', 'and disk jockey holds a picture of michael jackson', 'and disk jockey holds a picture of michael jackson', 'a disk jockey holds a picture of michael jackson']
[ "the lack of more than two shutter speeds was not a problem", "the lack of more than two shatter speeds was not a problem", "the lack of more then two shutter speeds was not a problem", "the lack of more then two shutter speeds was not a problem", "the lack of more than two shutter speeds was not a problem" ]
the lack of more than two shutter speeds was not a problem
the lack of more than two shutter speeds was not a problem.
the lack of more than two shatter speeds was not a problem. the lack of more then two shutter speeds was not a problem. the lack of more then two shutter speeds was not a problem. the lack of more than two shutter speeds was not a problem.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the lack of more than two shutter speeds was not a problem', 'the lack of more than two shatter speeds was not a problem', 'the lack of more then two shutter speeds was not a problem', 'the lack of more then two shutter speeds was not a problem', 'the lack of more than two shutter speeds was not a problem']
[ "the friends was wanting to find in the end of the movie", "the friends was wanting to fall in the end of the movie", "the friends was wanting to find in the innermost room", "the friends was plenty of fun in the end of the movie", "the friends was wanting to fall in the end of the moon" ]
the first was fronting of found in the inland north
the friends was wanting to find in the end of the movie.
the friends was wanting to fall in the end of the movie. the friends was wanting to find in the innermost room. the friends was plenty of fun in the end of the movie. the friends was wanting to fall in the end of the moon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the friends was wanting to find in the end of the movie', 'the friends was wanting to fall in the end of the movie', 'the friends was wanting to find in the innermost room', 'the friends was plenty of fun in the end of the movie', 'the friends was wanting to fall in the end of the moon']
[ "burnside also suppressed circulation after chicago times", "burnside also suppressed circulation after chicago times", "burnside also suppressed circulation after chicago times", "burnside also suppressed circulation after chicada times", "burnside also suppressed circulation of the chicago times" ]
burnside also suppressed circulation of the chicago times
burnside also suppressed circulation after chicago times.
burnside also suppressed circulation after chicago times. burnside also suppressed circulation after chicago times. burnside also suppressed circulation after chicada times. burnside also suppressed circulation of the chicago times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['burnside also suppressed circulation after chicago times', 'burnside also suppressed circulation after chicago times', 'burnside also suppressed circulation after chicago times', 'burnside also suppressed circulation after chicada times', 'burnside also suppressed circulation of the chicago times']
[ "assistance has been changed three times", "its assistance has been changed three times", "assistance has been changed three times", "its systems has been changed three times", "its assistance has been changed three times" ]
its distance has been changed three times
assistance has been changed three times.
its assistance has been changed three times. assistance has been changed three times. its systems has been changed three times. its assistance has been changed three times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['assistance has been changed three times', 'its assistance has been changed three times', 'assistance has been changed three times', 'its systems has been changed three times', 'its assistance has been changed three times']
[ "honey i shrunk the audience", "honey i shrunk the audience", "honey i struck the audience", "honey i shrunk the audience", "honey i struck the audience" ]
honey i shrunk the audience
honey i shrunk the audience.
honey i shrunk the audience. honey i struck the audience. honey i shrunk the audience. honey i struck the audience.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['honey i shrunk the audience', 'honey i shrunk the audience', 'honey i struck the audience', 'honey i shrunk the audience', 'honey i struck the audience']
[ "the skin of those with cocaine is only affected", "the skin of those with cocaine is normally affected", "the skin of those with cocaine is only affected", "skin of those with cocaine is only affected", "the skin of those with cocan is normally affected" ]
the skin of those with cockayne syndrome is also frequently affected
the skin of those with cocaine is only affected.
the skin of those with cocaine is normally affected. the skin of those with cocaine is only affected. skin of those with cocaine is only affected. the skin of those with cocan is normally affected.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the skin of those with cocaine is only affected', 'the skin of those with cocaine is normally affected', 'the skin of those with cocaine is only affected', 'skin of those with cocaine is only affected', 'the skin of those with cocan is normally affected']
[ "the baron discusses the heartbroken mary leaving her with a check", "the baron discuss the hard poken mary leaving her with a check", "the baron discusses the heart broken mary leaving her with a check", "the baron discuss the heartbroken mary leaving her with a check", "the baron discussed the hard poken mary leaving her with a check" ]
the baron discards the heartbroken marie leaving her with a check
the baron discusses the heartbroken mary leaving her with a check.
the baron discuss the hard poken mary leaving her with a check. the baron discusses the heart broken mary leaving her with a check. the baron discuss the heartbroken mary leaving her with a check. the baron discussed the hard poken mary leaving her with a check.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the baron discusses the heartbroken mary leaving her with a check', 'the baron discuss the hard poken mary leaving her with a check', 'the baron discusses the heart broken mary leaving her with a check', 'the baron discuss the heartbroken mary leaving her with a check', 'the baron discussed the hard poken mary leaving her with a check']
[ "two young people are kissing", "two young people kissing", "two young people yes", "two young people at kissing", "two young people a kiss" ]
two young people are kissing
two young people are kissing.
two young people kissing. two young people yes. two young people at kissing. two young people a kiss.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two young people are kissing', 'two young people kissing', 'two young people yes', 'two young people at kissing', 'two young people a kiss']
[ "tulay engaged a correspondence with machin and visited him in london", "tulay engaged a correspondence with machen and visited him in london", "tulay engaged the correspondence with machin and visited him in london", "tulay engaged the correspondence with machen and visited him in london", "tulay engaged a correspondence with machen and visited him in london" ]
toulet engaged a correspondence with machen and visited him in london
tulay engaged a correspondence with machin and visited him in london.
tulay engaged a correspondence with machen and visited him in london. tulay engaged the correspondence with machin and visited him in london. tulay engaged the correspondence with machen and visited him in london. tulay engaged a correspondence with machen and visited him in london.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tulay engaged a correspondence with machin and visited him in london', 'tulay engaged a correspondence with machen and visited him in london', 'tulay engaged the correspondence with machin and visited him in london', 'tulay engaged the correspondence with machen and visited him in london', 'tulay engaged a correspondence with machen and visited him in london']
[ "primarily used in the film and broadcast industries", "primarily used in the film and broadcast industries", "primarily used in the film and broadcast industries", "primarily used in the film and broadcast industries", "primarily used in the film and broadcast industries" ]
primarily used in the film and broadcast industries
primarily used in the film and broadcast industries.
primarily used in the film and broadcast industries. primarily used in the film and broadcast industries. primarily used in the film and broadcast industries. primarily used in the film and broadcast industries.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['primarily used in the film and broadcast industries', 'primarily used in the film and broadcast industries', 'primarily used in the film and broadcast industries', 'primarily used in the film and broadcast industries', 'primarily used in the film and broadcast industries']
[ "kalo expands the uranian cannon by situating several major victorians within the group", "kalo expands the iranian cannon by situating several major victorians within the group", "kalo expands a uranian cannon by situating several major victorians within the group", "kalo expands the iranian cannon by situating several major victorians within the group", "kalo expands the uranian canon by situating several major victorians within the group" ]
kaylor expands the uranian canon by situating several major victorians within the group
kalo expands the uranian cannon by situating several major victorians within the group.
kalo expands the iranian cannon by situating several major victorians within the group. kalo expands a uranian cannon by situating several major victorians within the group. kalo expands the iranian cannon by situating several major victorians within the group. kalo expands the uranian canon by situating several major victorians within the group.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kalo expands the uranian cannon by situating several major victorians within the group', 'kalo expands the iranian cannon by situating several major victorians within the group', 'kalo expands a uranian cannon by situating several major victorians within the group', 'kalo expands the iranian cannon by situating several major victorians within the group', 'kalo expands the uranian canon by situating several major victorians within the group']
[ "elayda became killis mystery story magazine", "elayda became killist mystery story magazine", "elayda became killis mystery story magazine", "elyda became killis mystery story magazine", "elayda became killist mystery story magazine" ]
it later became killers mystery story magazine
elayda became killis mystery story magazine.
elayda became killist mystery story magazine. elayda became killis mystery story magazine. elyda became killis mystery story magazine. elayda became killist mystery story magazine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['elayda became killis mystery story magazine', 'elayda became killist mystery story magazine', 'elayda became killis mystery story magazine', 'elyda became killis mystery story magazine', 'elayda became killist mystery story magazine']
[ "litigation over the property continues to this day", "litigation over the property continues to this day", "litigation over the property continues to this day", "litigation over the property continues to this day", "litigation over the property continues to this day" ]
litigation over the property continues to this day
litigation over the property continues to this day.
litigation over the property continues to this day. litigation over the property continues to this day. litigation over the property continues to this day. litigation over the property continues to this day.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['litigation over the property continues to this day', 'litigation over the property continues to this day', 'litigation over the property continues to this day', 'litigation over the property continues to this day', 'litigation over the property continues to this day']
[ "nebraska is current senators are republicans deb fisher and ben sassy", "nebraska is current senators are republicans deb fisher and ben sasi", "nebraska is current senators are republicans debt fisher and ben sasi", "nebraska is current senators are republicans debt fisher and ben sassy", "nebraska is current senators are republicans debt fisher and ben sasi" ]
nebraska is current senators are republicans deb fischer and ben sasse
nebraska is current senators are republicans deb fisher and ben sassy.
nebraska is current senators are republicans deb fisher and ben sasi. nebraska is current senators are republicans debt fisher and ben sasi. nebraska is current senators are republicans debt fisher and ben sassy. nebraska is current senators are republicans debt fisher and ben sasi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nebraska is current senators are republicans deb fisher and ben sassy', 'nebraska is current senators are republicans deb fisher and ben sasi', 'nebraska is current senators are republicans debt fisher and ben sasi', 'nebraska is current senators are republicans debt fisher and ben sassy', 'nebraska is current senators are republicans debt fisher and ben sasi']
[ "a woman in doha at a plightful event", "a woman in doha at a plightful event", "a woman in doha at a plightful event", "a woman in doha at a vital event", "a woman and daughter at a plightful event" ]
woman and daughter at a playful event
a woman in doha at a plightful event.
a woman in doha at a plightful event. a woman in doha at a plightful event. a woman in doha at a vital event. a woman and daughter at a plightful event.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a woman in doha at a plightful event', 'a woman in doha at a plightful event', 'a woman in doha at a plightful event', 'a woman in doha at a vital event', 'a woman and daughter at a plightful event']
[ "however commercial scale production remained sears away", "however commercial scale production remain seers away", "however commercial scale production remained seers away", "however commercial scale production remained sears away", "however commercial scale production remained seared away" ]
however commercial scale production remains years away
however commercial scale production remained sears away.
however commercial scale production remain seers away. however commercial scale production remained seers away. however commercial scale production remained sears away. however commercial scale production remained seared away.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however commercial scale production remained sears away', 'however commercial scale production remain seers away', 'however commercial scale production remained seers away', 'however commercial scale production remained sears away', 'however commercial scale production remained seared away']
[ "the power contains aboriginal middens and stone relics", "the power contains aboriginal middens and stone relics", "the path contains aboriginal middens and stone relics", "the part contains aboriginal middens and stone relics", "the part contains aboriginal middens and stone relics" ]
the park contains aboriginal middens and stone relics
the power contains aboriginal middens and stone relics.
the power contains aboriginal middens and stone relics. the path contains aboriginal middens and stone relics. the part contains aboriginal middens and stone relics. the part contains aboriginal middens and stone relics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the power contains aboriginal middens and stone relics', 'the power contains aboriginal middens and stone relics', 'the path contains aboriginal middens and stone relics', 'the part contains aboriginal middens and stone relics', 'the part contains aboriginal middens and stone relics']
[ "in a human readable format rather than showing raw modes", "in a human readable format rather than showing raw modes", "in a human readable format rather than showing raw modes", "in a human readable format rather than showing raw modes", "in a human readable format rather than showing raw modes" ]
in a human readable format rather than showing raw modes
in a human readable format rather than showing raw modes.
in a human readable format rather than showing raw modes. in a human readable format rather than showing raw modes. in a human readable format rather than showing raw modes. in a human readable format rather than showing raw modes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in a human readable format rather than showing raw modes', 'in a human readable format rather than showing raw modes', 'in a human readable format rather than showing raw modes', 'in a human readable format rather than showing raw modes', 'in a human readable format rather than showing raw modes']
[ "the debate was even more intense than in the senate", "the debate force even more intense than in the senate", "the debate for us even more intense than in the senate", "the debate pours even more intense than in the senate", "the debate for is even more intense than in the senate" ]
the debate was even more intense than in the senate
the debate was even more intense than in the senate.
the debate force even more intense than in the senate. the debate for us even more intense than in the senate. the debate pours even more intense than in the senate. the debate for is even more intense than in the senate.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the debate was even more intense than in the senate', 'the debate force even more intense than in the senate', 'the debate for us even more intense than in the senate', 'the debate pours even more intense than in the senate', 'the debate for is even more intense than in the senate']
[ "upon and waterfall form an interesting feature containing fish dead of pins and whistling ducks", "upon and waterfall form an interesting feature containing fish dead of bins and whistling ducks", "upon and waterfall form an interesting feature containing fish tetrapins and whistling ducks", "upon and waterfall form an interesting feature containing fish dead of winds and whistling ducks", "upon and waterfall form an interesting feature containing fish terrapins and whistling ducks" ]
a pond and waterfall form an interesting feature containing fish terrapins and whistling ducks
upon and waterfall form an interesting feature containing fish dead of pins and whistling ducks.
upon and waterfall form an interesting feature containing fish dead of bins and whistling ducks. upon and waterfall form an interesting feature containing fish tetrapins and whistling ducks. upon and waterfall form an interesting feature containing fish dead of winds and whistling ducks. upon and waterfall form an interesting feature containing fish terrapins and whistling ducks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['upon and waterfall form an interesting feature containing fish dead of pins and whistling ducks', 'upon and waterfall form an interesting feature containing fish dead of bins and whistling ducks', 'upon and waterfall form an interesting feature containing fish tetrapins and whistling ducks', 'upon and waterfall form an interesting feature containing fish dead of winds and whistling ducks', 'upon and waterfall form an interesting feature containing fish terrapins and whistling ducks']
[ "a gifted dancer suddenly created the saintly tango and the hawaiian butterfly", "a gifted dancer suddenly created the saintly tango and the hawaiian butterfly", "a gifted dancer saintly created the saintly tango and the hawaiian butterfly", "a gifted dancer suddenly created the sanctly tango and the hawaiian butterfly", "a gifted dancer saintly created the saintly tango and the hawaiian butterfly" ]
a gifted dancer santley created the santley tango and the hawaiian butterfly
a gifted dancer suddenly created the saintly tango and the hawaiian butterfly.
a gifted dancer suddenly created the saintly tango and the hawaiian butterfly. a gifted dancer saintly created the saintly tango and the hawaiian butterfly. a gifted dancer suddenly created the sanctly tango and the hawaiian butterfly. a gifted dancer saintly created the saintly tango and the hawaiian butterfly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a gifted dancer suddenly created the saintly tango and the hawaiian butterfly', 'a gifted dancer suddenly created the saintly tango and the hawaiian butterfly', 'a gifted dancer saintly created the saintly tango and the hawaiian butterfly', 'a gifted dancer suddenly created the sanctly tango and the hawaiian butterfly', 'a gifted dancer saintly created the saintly tango and the hawaiian butterfly']
[ "the woman is face is often animated to appear as ellen says something to john", "the woman is face is often animated to appear as ellen says something to john", "the woman is face is often animated to appear as ellen says something to john", "the woman is face is often animated to appear as ellen says something to john", "the woman is face is often animated to appear as ellen says something to john" ]
the woman is face is often animated to appear as ellen says something to john
the woman is face is often animated to appear as ellen says something to john.
the woman is face is often animated to appear as ellen says something to john. the woman is face is often animated to appear as ellen says something to john. the woman is face is often animated to appear as ellen says something to john. the woman is face is often animated to appear as ellen says something to john.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the woman is face is often animated to appear as ellen says something to john', 'the woman is face is often animated to appear as ellen says something to john', 'the woman is face is often animated to appear as ellen says something to john', 'the woman is face is often animated to appear as ellen says something to john', 'the woman is face is often animated to appear as ellen says something to john']
[ "portarta numbina and cognia are the main towns", "portarta numbina and konya are the main towns", "portarta numbina and conia are the main towns", "portarta nubina and konya are the main towns", "portata numbina and cognia are the main towns" ]
port arthur nubeena and koonya are the main towns
portarta numbina and cognia are the main towns.
portarta numbina and konya are the main towns. portarta numbina and conia are the main towns. portarta nubina and konya are the main towns. portata numbina and cognia are the main towns.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['portarta numbina and cognia are the main towns', 'portarta numbina and konya are the main towns', 'portarta numbina and conia are the main towns', 'portarta nubina and konya are the main towns', 'portata numbina and cognia are the main towns']
[ "these flowers are hermaphroditic and grow after heavy rainfall at any time of year", "these flowers are hermaphroditic and grow after heavy rainfall at any time of year", "these flowers are hermaphroditic and grow after heavy rainfall at any time of year", "these flowers are hermaphroditic and grow after heavy rainfall at any time of year", "these flowers are hermaphroditic and grow after heavy rainfall at any time of year" ]
these flowers are hermaphroditic and grow after heavy rainfall at any time of year
these flowers are hermaphroditic and grow after heavy rainfall at any time of year.
these flowers are hermaphroditic and grow after heavy rainfall at any time of year. these flowers are hermaphroditic and grow after heavy rainfall at any time of year. these flowers are hermaphroditic and grow after heavy rainfall at any time of year. these flowers are hermaphroditic and grow after heavy rainfall at any time of year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these flowers are hermaphroditic and grow after heavy rainfall at any time of year', 'these flowers are hermaphroditic and grow after heavy rainfall at any time of year', 'these flowers are hermaphroditic and grow after heavy rainfall at any time of year', 'these flowers are hermaphroditic and grow after heavy rainfall at any time of year', 'these flowers are hermaphroditic and grow after heavy rainfall at any time of year']
[ "he died in belfast", "he died in belfast", "he died in belfast", "he died in belfast", "he died in belfast" ]
he died in belfast
he died in belfast.
he died in belfast. he died in belfast. he died in belfast. he died in belfast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he died in belfast', 'he died in belfast', 'he died in belfast', 'he died in belfast', 'he died in belfast']
[ "in the final years of his life he became totally blind", "in the final years of his life he became totally blind", "and the final years of his life he became totally blind", "and the final years of his life he became totally blind", "in the final years of his life he became totally blind" ]
in the final years of his life he became totally blind
in the final years of his life he became totally blind.
in the final years of his life he became totally blind. and the final years of his life he became totally blind. and the final years of his life he became totally blind. in the final years of his life he became totally blind.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the final years of his life he became totally blind', 'in the final years of his life he became totally blind', 'and the final years of his life he became totally blind', 'and the final years of his life he became totally blind', 'in the final years of his life he became totally blind']
[ "a historical novel about the eventing country mayor", "an historical novel about the eventing country mayor", "a historical novel about the events in country mayor", "a historical novel about the events in country mayor", "a historical novel about the event in country mayor" ]
an historical novel about the events in county mayo
a historical novel about the eventing country mayor.
an historical novel about the eventing country mayor. a historical novel about the events in country mayor. a historical novel about the events in country mayor. a historical novel about the event in country mayor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a historical novel about the eventing country mayor', 'an historical novel about the eventing country mayor', 'a historical novel about the events in country mayor', 'a historical novel about the events in country mayor', 'a historical novel about the event in country mayor']
[ "doro was born in cherry hill arkansas and he grew up in texas", "dooro was born in cherry hill arkansas and he grew up in texas", "doro was a born in cherry hill arkansas and he grew up in texas", "doro was born in cherry hill arkansas and he grew up in texas", "doro was born in cherry hill arkansas and he grew up in texas" ]
dorough was born in cherry hill arkansas and grew up in texas
doro was born in cherry hill arkansas and he grew up in texas.
dooro was born in cherry hill arkansas and he grew up in texas. doro was a born in cherry hill arkansas and he grew up in texas. doro was born in cherry hill arkansas and he grew up in texas. doro was born in cherry hill arkansas and he grew up in texas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['doro was born in cherry hill arkansas and he grew up in texas', 'dooro was born in cherry hill arkansas and he grew up in texas', 'doro was a born in cherry hill arkansas and he grew up in texas', 'doro was born in cherry hill arkansas and he grew up in texas', 'doro was born in cherry hill arkansas and he grew up in texas']
[ "it is good sometimes to let go of your crutches", "it is good sometimes to let go of your crutches", "it is good sometimes to let go of your crutches", "is good sometimes to let go of your crutches", "is good sometimes to let go of your crutches" ]
it is good sometimes to let go of your crutches
it is good sometimes to let go of your crutches.
it is good sometimes to let go of your crutches. it is good sometimes to let go of your crutches. is good sometimes to let go of your crutches. is good sometimes to let go of your crutches.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is good sometimes to let go of your crutches', 'it is good sometimes to let go of your crutches', 'it is good sometimes to let go of your crutches', 'is good sometimes to let go of your crutches', 'is good sometimes to let go of your crutches']
[ "since then it has had all day operating hours during every christmas shopping season", "since then it has had all day operating hours during every christmas shopping season", "since then it has had all day operating hours during every christmas shopping season", "since then it has had all day operating hours during every christmas shopping season", "since then it has had all day operating hours during every christmas shopping season" ]
since then it has had all day operating hours during every christmas shopping season
since then it has had all day operating hours during every christmas shopping season.
since then it has had all day operating hours during every christmas shopping season. since then it has had all day operating hours during every christmas shopping season. since then it has had all day operating hours during every christmas shopping season. since then it has had all day operating hours during every christmas shopping season.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['since then it has had all day operating hours during every christmas shopping season', 'since then it has had all day operating hours during every christmas shopping season', 'since then it has had all day operating hours during every christmas shopping season', 'since then it has had all day operating hours during every christmas shopping season', 'since then it has had all day operating hours during every christmas shopping season']
[ "it is also an informal fallacy of reasoning", "and it is also an informal fallacy of reasoning", "and it is also an informal fallacy of reasoning", "it is also an informal policy of reasoning", "it is also an informal philosophy of reasoning" ]
it is also an informal fallacy of reasoning
it is also an informal fallacy of reasoning.
and it is also an informal fallacy of reasoning. and it is also an informal fallacy of reasoning. it is also an informal policy of reasoning. it is also an informal philosophy of reasoning.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is also an informal fallacy of reasoning', 'and it is also an informal fallacy of reasoning', 'and it is also an informal fallacy of reasoning', 'it is also an informal policy of reasoning', 'it is also an informal philosophy of reasoning']
[ "new zealand first entered into negotiations with both major parties", "new zealand first entered into negotiations with both major parties", "new zealand first entered into negotiations with both major parties", "new zealand first entered into negotiations with both major parties", "new zealand first entered into negotiations with both major parties" ]
new zealand first entered into negotiations with both major parties
new zealand first entered into negotiations with both major parties.
new zealand first entered into negotiations with both major parties. new zealand first entered into negotiations with both major parties. new zealand first entered into negotiations with both major parties. new zealand first entered into negotiations with both major parties.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['new zealand first entered into negotiations with both major parties', 'new zealand first entered into negotiations with both major parties', 'new zealand first entered into negotiations with both major parties', 'new zealand first entered into negotiations with both major parties', 'new zealand first entered into negotiations with both major parties']
[ "while guchet finished the race in fiveth place lungo was later disqualified", "while guchet finished the race in fifth place lungo was later disqualified", "while guchet finished the race in fiveth place longo was later disqualified", "while uchef finished the race in fiveth place lungo was later disqualified", "while buchet finished the race in fiveth place lungo was later disqualified" ]
while bucher finished the race in fifth place longo was later disqualified
while guchet finished the race in fiveth place lungo was later disqualified.
while guchet finished the race in fifth place lungo was later disqualified. while guchet finished the race in fiveth place longo was later disqualified. while uchef finished the race in fiveth place lungo was later disqualified. while buchet finished the race in fiveth place lungo was later disqualified.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['while guchet finished the race in fiveth place lungo was later disqualified', 'while guchet finished the race in fifth place lungo was later disqualified', 'while guchet finished the race in fiveth place longo was later disqualified', 'while uchef finished the race in fiveth place lungo was later disqualified', 'while buchet finished the race in fiveth place lungo was later disqualified']
[ "roth was born in brooklyn new york and briefly worked in his father is business", "roth has born in brooklyn new york and briefly worked in his father is business", "roth was born in brooklyn new york and briefly worked in his father is business", "roth is born in brooklyn new york and briefly worked in his father is business", "roth has born in brooklyn new york and briefly worked in his father is business" ]
roth was born in brooklyn new york and briefly worked in his father is business
roth was born in brooklyn new york and briefly worked in his father is business.
roth has born in brooklyn new york and briefly worked in his father is business. roth was born in brooklyn new york and briefly worked in his father is business. roth is born in brooklyn new york and briefly worked in his father is business. roth has born in brooklyn new york and briefly worked in his father is business.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['roth was born in brooklyn new york and briefly worked in his father is business', 'roth has born in brooklyn new york and briefly worked in his father is business', 'roth was born in brooklyn new york and briefly worked in his father is business', 'roth is born in brooklyn new york and briefly worked in his father is business', 'roth has born in brooklyn new york and briefly worked in his father is business']
[ "with the restoration of the republic chiang helped several posts", "with the restoration of the republic chang helped several posts", "with the restoration of the republic chiang helped several posts", "with the restoration of the republic chang helped several posts", "with the restoration of the republic chang held several posts" ]
with the restoration of the republic chang held several posts
with the restoration of the republic chiang helped several posts.
with the restoration of the republic chang helped several posts. with the restoration of the republic chiang helped several posts. with the restoration of the republic chang helped several posts. with the restoration of the republic chang held several posts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['with the restoration of the republic chiang helped several posts', 'with the restoration of the republic chang helped several posts', 'with the restoration of the republic chiang helped several posts', 'with the restoration of the republic chang helped several posts', 'with the restoration of the republic chang held several posts']
[ "the company also publishes a weekly sunday chronicle", "the company also publishes a weekly sunday chronicle", "the company also publishes a weekly sunday chronicle", "the company also publishes a weekly sunday chronicle", "the company also publishes a weekly sunday chronicle" ]
the company also publishes a weekly sunday chronicle
the company also publishes a weekly sunday chronicle.
the company also publishes a weekly sunday chronicle. the company also publishes a weekly sunday chronicle. the company also publishes a weekly sunday chronicle. the company also publishes a weekly sunday chronicle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company also publishes a weekly sunday chronicle', 'the company also publishes a weekly sunday chronicle', 'the company also publishes a weekly sunday chronicle', 'the company also publishes a weekly sunday chronicle', 'the company also publishes a weekly sunday chronicle']
[ "most of the works are short comics based on wood drinks drinks", "most of the works are short comics based on wooddrinks dreams", "most of the works are short comics based on wood drinks dreams", "most of the works are short comics based on wood drinks dreams", "most of the works are short comics based on wood drinks drinks" ]
most of the works are short comics based on woodring is dreams
most of the works are short comics based on wood drinks drinks.
most of the works are short comics based on wooddrinks dreams. most of the works are short comics based on wood drinks dreams. most of the works are short comics based on wood drinks dreams. most of the works are short comics based on wood drinks drinks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['most of the works are short comics based on wood drinks drinks', 'most of the works are short comics based on wooddrinks dreams', 'most of the works are short comics based on wood drinks dreams', 'most of the works are short comics based on wood drinks dreams', 'most of the works are short comics based on wood drinks drinks']
[ "it also loads in this nationalite media attacks against the series", "it also loads in this nationalite media attacks against the series", "it also loads in this nationalite media attacks against the series", "it also loads in this mansionoid media attacks against the series", "it also loads in this nationalite media attacks against the series" ]
it also launched intense nationwide media attacks against the series
it also loads in this nationalite media attacks against the series.
it also loads in this nationalite media attacks against the series. it also loads in this nationalite media attacks against the series. it also loads in this mansionoid media attacks against the series. it also loads in this nationalite media attacks against the series.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it also loads in this nationalite media attacks against the series', 'it also loads in this nationalite media attacks against the series', 'it also loads in this nationalite media attacks against the series', 'it also loads in this mansionoid media attacks against the series', 'it also loads in this nationalite media attacks against the series']
[ "he has also served on the board of directors for qualcomm", "he has also served on the board of directors for qualcomm", "he has also served on the board of directors for qualcomm", "he has also served on the board of directors for qualcomm", "he has also served on the board of directors for qualcomm" ]
he has also served on the board of directors for qualcomm
he has also served on the board of directors for qualcomm.
he has also served on the board of directors for qualcomm. he has also served on the board of directors for qualcomm. he has also served on the board of directors for qualcomm. he has also served on the board of directors for qualcomm.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he has also served on the board of directors for qualcomm', 'he has also served on the board of directors for qualcomm', 'he has also served on the board of directors for qualcomm', 'he has also served on the board of directors for qualcomm', 'he has also served on the board of directors for qualcomm']
[ "policy statements may also be extracted from a centralized policy server", "policy statements may also be extracted from a centralized policy server", "policy statements may also be extracted from the centralized policy server", "policy statements may also be extracted from a centralized policy server", "policy statements may also be extracted from a centralized policy server" ]
policy statements may also be extracted from a centralized policy server
policy statements may also be extracted from a centralized policy server.
policy statements may also be extracted from a centralized policy server. policy statements may also be extracted from the centralized policy server. policy statements may also be extracted from a centralized policy server. policy statements may also be extracted from a centralized policy server.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['policy statements may also be extracted from a centralized policy server', 'policy statements may also be extracted from a centralized policy server', 'policy statements may also be extracted from the centralized policy server', 'policy statements may also be extracted from a centralized policy server', 'policy statements may also be extracted from a centralized policy server']
[ "the boss is now in the victorian albert museum", "the boss is now on the victorian albert museum", "the boss is now in the victoria and albert museum", "the boss is now on the victoria and albert museum", "the boss is now in the victoria and albert museum" ]
the bust is now in the victoria and albert museum
the boss is now in the victorian albert museum.
the boss is now on the victorian albert museum. the boss is now in the victoria and albert museum. the boss is now on the victoria and albert museum. the boss is now in the victoria and albert museum.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the boss is now in the victorian albert museum', 'the boss is now on the victorian albert museum', 'the boss is now in the victoria and albert museum', 'the boss is now on the victoria and albert museum', 'the boss is now in the victoria and albert museum']
[ "the province is governed by a provincial council chaired by ratu kini viliam tukini kuru", "the province is governed by a provincial council chaired by ratu kini viliam tukini kuru", "the province is governed by a provincial council chaired by ratu kini viliam to kini kuru", "the province is governed by a provincial council chaired by ratukini viliam tukini kuru", "the province is governed by a provincial council chaired by ratu kinne viliam tukini kuru" ]
the province is governed by a provincial council chaired by ratu kiniviliame taukeinikoro
the province is governed by a provincial council chaired by ratu kini viliam tukini kuru.
the province is governed by a provincial council chaired by ratu kini viliam tukini kuru. the province is governed by a provincial council chaired by ratu kini viliam to kini kuru. the province is governed by a provincial council chaired by ratukini viliam tukini kuru. the province is governed by a provincial council chaired by ratu kinne viliam tukini kuru.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the province is governed by a provincial council chaired by ratu kini viliam tukini kuru', 'the province is governed by a provincial council chaired by ratu kini viliam tukini kuru', 'the province is governed by a provincial council chaired by ratu kini viliam to kini kuru', 'the province is governed by a provincial council chaired by ratukini viliam tukini kuru', 'the province is governed by a provincial council chaired by ratu kinne viliam tukini kuru']
[ "it usually comes in two variants the hardened and soft version", "it usually comes in two variants the harden and soft version", "it usually comes in two variants the hardened and soft version", "it usually comes in two variants the hardened and soft version", "it usually comes in two variants the harden and soft version" ]
it usually comes in two variants the hardened and soft version
it usually comes in two variants the hardened and soft version.
it usually comes in two variants the harden and soft version. it usually comes in two variants the hardened and soft version. it usually comes in two variants the hardened and soft version. it usually comes in two variants the harden and soft version.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it usually comes in two variants the hardened and soft version', 'it usually comes in two variants the harden and soft version', 'it usually comes in two variants the hardened and soft version', 'it usually comes in two variants the hardened and soft version', 'it usually comes in two variants the harden and soft version']
[ "a soldier named amur is chosen to rescue her and destroy zawal", "a soldier named amur is chosen to rescue her and destroy zawel", "a soldier named amour is chosen to rescue her and destroy zawal", "a soldier named amur is chosen to rescue her and destroy zalwell", "a soldier named amour is chosen to rescue her and destroy zawel" ]
a soldier named amul is chosen to rescue her and destroy zawell
a soldier named amur is chosen to rescue her and destroy zawal.
a soldier named amur is chosen to rescue her and destroy zawel. a soldier named amour is chosen to rescue her and destroy zawal. a soldier named amur is chosen to rescue her and destroy zalwell. a soldier named amour is chosen to rescue her and destroy zawel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a soldier named amur is chosen to rescue her and destroy zawal', 'a soldier named amur is chosen to rescue her and destroy zawel', 'a soldier named amour is chosen to rescue her and destroy zawal', 'a soldier named amur is chosen to rescue her and destroy zalwell', 'a soldier named amour is chosen to rescue her and destroy zawel']
[ "a toddler is intrigued by a toy lego sound in a bookstore", "a toddler who is intrigued by a toy lego sound in a bookstore", "a toddler who is intrigued by a toy lego sound in a bookstore", "the toddler is intrigued by a toy lego sound in a bookstore", "a toddler is intrigued by a twin lego sound in a bookstore" ]
a toddler is intrigued by a toy lego set in a bookstore
a toddler is intrigued by a toy lego sound in a bookstore.
a toddler who is intrigued by a toy lego sound in a bookstore. a toddler who is intrigued by a toy lego sound in a bookstore. the toddler is intrigued by a toy lego sound in a bookstore. a toddler is intrigued by a twin lego sound in a bookstore.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a toddler is intrigued by a toy lego sound in a bookstore', 'a toddler who is intrigued by a toy lego sound in a bookstore', 'a toddler who is intrigued by a toy lego sound in a bookstore', 'the toddler is intrigued by a toy lego sound in a bookstore', 'a toddler is intrigued by a twin lego sound in a bookstore']
[ "patterns for children featuring popular characters can also be purchased", "patterns for children featuring popular characters can also be purchased", "paterns for children featuring popular characters can also be purchased", "patterns for children featuring popular characters can also be purchased", "patterns for children featuring popular characters can also be purchased" ]
patterns for children featuring popular characters can also be purchased
patterns for children featuring popular characters can also be purchased.
patterns for children featuring popular characters can also be purchased. paterns for children featuring popular characters can also be purchased. patterns for children featuring popular characters can also be purchased. patterns for children featuring popular characters can also be purchased.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['patterns for children featuring popular characters can also be purchased', 'patterns for children featuring popular characters can also be purchased', 'paterns for children featuring popular characters can also be purchased', 'patterns for children featuring popular characters can also be purchased', 'patterns for children featuring popular characters can also be purchased']
[ "however these formulas are not excellent to the formula book", "however these formulas are not equivalent to the formula book", "however these formulae are not excellent to the formula book", "however these formulae are not equivalent to the formula book", "however these formulas are not equivalent to the formula book" ]
however these formulae are not equivalent to the formula above
however these formulas are not excellent to the formula book.
however these formulas are not equivalent to the formula book. however these formulae are not excellent to the formula book. however these formulae are not equivalent to the formula book. however these formulas are not equivalent to the formula book.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however these formulas are not excellent to the formula book', 'however these formulas are not equivalent to the formula book', 'however these formulae are not excellent to the formula book', 'however these formulae are not equivalent to the formula book', 'however these formulas are not equivalent to the formula book']
[ "the aeroskegester near the shore has caught lack of more", "the area was digested and the other shore was caught like a moor", "the area was congested and the other shore was caught like a moor", "the aeroskegester near the shore is quite like a moor", "the aeroskegester near the shore is caught like a moor" ]
the area of skigersta near the shore is called lachamore
the aeroskegester near the shore has caught lack of more.
the area was digested and the other shore was caught like a moor. the area was congested and the other shore was caught like a moor. the aeroskegester near the shore is quite like a moor. the aeroskegester near the shore is caught like a moor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the aeroskegester near the shore has caught lack of more', 'the area was digested and the other shore was caught like a moor', 'the area was congested and the other shore was caught like a moor', 'the aeroskegester near the shore is quite like a moor', 'the aeroskegester near the shore is caught like a moor']
[ "the servers are created on many endowment levels regardless of the network is type and dimension", "the servers are created on many endowment levels regardless the network is type and dimension", "the servers are created on many endowment levels regardless of the networks type and dimension", "the servers are created on many endowment levels regardless the network is type and dimension", "the servers are created on many endowment levels regardless of the network type and dimension" ]
the servers are created on many endowment levels regardless the networks type and dimension
the servers are created on many endowment levels regardless of the network is type and dimension.
the servers are created on many endowment levels regardless the network is type and dimension. the servers are created on many endowment levels regardless of the networks type and dimension. the servers are created on many endowment levels regardless the network is type and dimension. the servers are created on many endowment levels regardless of the network type and dimension.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the servers are created on many endowment levels regardless of the network is type and dimension', 'the servers are created on many endowment levels regardless the network is type and dimension', 'the servers are created on many endowment levels regardless of the networks type and dimension', 'the servers are created on many endowment levels regardless the network is type and dimension', 'the servers are created on many endowment levels regardless of the network type and dimension']
[ "israeli referee taught gwani also worked several games during the tournament", "australia referee taught gwani also worked several games during the tournament", "israeli referee torquani also worked several games during the tournament", "israeli referee torquani also works several games during the tournament", "israeli referee taught gwani also worked several games during the tournament" ]
israeli referee todd warnick also worked several games during the tournament
israeli referee taught gwani also worked several games during the tournament.
australia referee taught gwani also worked several games during the tournament. israeli referee torquani also worked several games during the tournament. israeli referee torquani also works several games during the tournament. israeli referee taught gwani also worked several games during the tournament.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['israeli referee taught gwani also worked several games during the tournament', 'australia referee taught gwani also worked several games during the tournament', 'israeli referee torquani also worked several games during the tournament', 'israeli referee torquani also works several games during the tournament', 'israeli referee taught gwani also worked several games during the tournament']
[ "the old formation was used to store locomotives", "the old formation would use to store locomotives", "the old formation was used to store locomotives", "the old formation was used to store locomotives", "the old formation was used to storm locomotives" ]
the old formation was used to store locomotives
the old formation was used to store locomotives.
the old formation would use to store locomotives. the old formation was used to store locomotives. the old formation was used to store locomotives. the old formation was used to storm locomotives.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the old formation was used to store locomotives', 'the old formation would use to store locomotives', 'the old formation was used to store locomotives', 'the old formation was used to store locomotives', 'the old formation was used to storm locomotives']
[ "weddings in other cultures have different formats", "wedding is in other cultures have different formats", "wedding in other cultures have different formats", "wedding and other cultures have different formats", "wedding is in other cultures have different formats" ]
weddings in other cultures have different formats
weddings in other cultures have different formats.
wedding is in other cultures have different formats. wedding in other cultures have different formats. wedding and other cultures have different formats. wedding is in other cultures have different formats.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['weddings in other cultures have different formats', 'wedding is in other cultures have different formats', 'wedding in other cultures have different formats', 'wedding and other cultures have different formats', 'wedding is in other cultures have different formats']