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[ "she started dancing competitively in ballet jazz hip hop and lyrical at age four", "she started dancing competitively in ballet jazz hip hop and lyrical at age four", "she started dancing competitively in ballet jazz hip hop and lyrical at age four", "she started dancing competitively in ballet jazz hip hop and lyrical at age four", "she started dancing competitively in ballet jazz hip hop and lyrical at age four" ]
she started dancing competitively in ballet jazz hip hop and lyrical at age four
she started dancing competitively in ballet jazz hip hop and lyrical at age four.
she started dancing competitively in ballet jazz hip hop and lyrical at age four. she started dancing competitively in ballet jazz hip hop and lyrical at age four. she started dancing competitively in ballet jazz hip hop and lyrical at age four. she started dancing competitively in ballet jazz hip hop and lyrical at age four.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she started dancing competitively in ballet jazz hip hop and lyrical at age four', 'she started dancing competitively in ballet jazz hip hop and lyrical at age four', 'she started dancing competitively in ballet jazz hip hop and lyrical at age four', 'she started dancing competitively in ballet jazz hip hop and lyrical at age four', 'she started dancing competitively in ballet jazz hip hop and lyrical at age four']
[ "these forests primarily consist of mountain ash", "these forest primarily consist of mountain ash", "these flowers primarily consist of mountain ash", "these far as primarily consist of mountain ash", "these far as firmly consist of mountain ash" ]
these forests primarily consist of mountain ash
these forests primarily consist of mountain ash.
these forest primarily consist of mountain ash. these flowers primarily consist of mountain ash. these far as primarily consist of mountain ash. these far as firmly consist of mountain ash.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these forests primarily consist of mountain ash', 'these forest primarily consist of mountain ash', 'these flowers primarily consist of mountain ash', 'these far as primarily consist of mountain ash', 'these far as firmly consist of mountain ash']
[ "i feel that no words that men are", "i feel that no words that men are", "i feel that no words that men are", "i feel that no words that men are", "i feel that no words that men are" ]
i feel they are no worse than men are
i feel that no words that men are.
i feel that no words that men are. i feel that no words that men are. i feel that no words that men are. i feel that no words that men are.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i feel that no words that men are', 'i feel that no words that men are', 'i feel that no words that men are', 'i feel that no words that men are', 'i feel that no words that men are']
[ "the truth was founded by our reader new formal leader of the cacophony society", "the truth was founded by our reader new former leader of the cacophony society", "the truth was founded by our rida nuh former leader of the cacophony society", "the truth was founded by el rida nuh former leader of the cacophony society", "the truth was founded by el rida ngu former leader of the cacophony society" ]
the troupe was founded by al ridenour former leader of the cacophony society
the truth was founded by our reader new formal leader of the cacophony society.
the truth was founded by our reader new former leader of the cacophony society. the truth was founded by our rida nuh former leader of the cacophony society. the truth was founded by el rida nuh former leader of the cacophony society. the truth was founded by el rida ngu former leader of the cacophony society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the truth was founded by our reader new formal leader of the cacophony society', 'the truth was founded by our reader new former leader of the cacophony society', 'the truth was founded by our rida nuh former leader of the cacophony society', 'the truth was founded by el rida nuh former leader of the cacophony society', 'the truth was founded by el rida ngu former leader of the cacophony society']
[ "it functioned as a cultural center as well", "it functioned as a cultural center as well", "it is functioned as a cultural center as well", "it functioned as a cultural center as well", "it functioned as a cultural center as well" ]
it functioned as a cultural center as well
it functioned as a cultural center as well.
it functioned as a cultural center as well. it is functioned as a cultural center as well. it functioned as a cultural center as well. it functioned as a cultural center as well.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it functioned as a cultural center as well', 'it functioned as a cultural center as well', 'it is functioned as a cultural center as well', 'it functioned as a cultural center as well', 'it functioned as a cultural center as well']
[ "douglas remains popular among the month is", "douglass remains popular among the month is", "douglas remains popular among the months", "douglas remains popular among the monsters", "dog less remains popular among the month is" ]
douglas remains popular among vermonters
douglas remains popular among the month is.
douglass remains popular among the month is. douglas remains popular among the months. douglas remains popular among the monsters. dog less remains popular among the month is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['douglas remains popular among the month is', 'douglass remains popular among the month is', 'douglas remains popular among the months', 'douglas remains popular among the monsters', 'dog less remains popular among the month is']
[ "i would has been chosen to serve as commander", "i would has been chosen to serve as commander", "it has been chosen to serve as commander", "it has been chosen to serve as commander", "ite has been chosen to serve as commander" ]
ide had been chosen to serve as commander
i would has been chosen to serve as commander.
i would has been chosen to serve as commander. it has been chosen to serve as commander. it has been chosen to serve as commander. ite has been chosen to serve as commander.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i would has been chosen to serve as commander', 'i would has been chosen to serve as commander', 'it has been chosen to serve as commander', 'it has been chosen to serve as commander', 'ite has been chosen to serve as commander']
[ "hasla is most notable for being the home of lake lansing", "hesla is most notable for being the home of lake lansing", "hasle is most notable for being the home of lake lansing", "hesla is most notable for being the home of lake lansing", "hesla is most notable for being the home of lake lansing" ]
haslett is most notable for being the home of lake lansing
hasla is most notable for being the home of lake lansing.
hesla is most notable for being the home of lake lansing. hasle is most notable for being the home of lake lansing. hesla is most notable for being the home of lake lansing. hesla is most notable for being the home of lake lansing.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['hasla is most notable for being the home of lake lansing', 'hesla is most notable for being the home of lake lansing', 'hasle is most notable for being the home of lake lansing', 'hesla is most notable for being the home of lake lansing', 'hesla is most notable for being the home of lake lansing']
[ "this is the cfour by benz and i will give him the first single roses", "this is the cfour by bans and i will give you the first single roses", "this is the cfour by bans and i will give the first single roses", "this is the cfour by bans and i will give them the first single roses", "this is the cfour by benz and i will give them the first single roses" ]
this was received well by fans and off it came their first single roses
this is the cfour by benz and i will give him the first single roses.
this is the cfour by bans and i will give you the first single roses. this is the cfour by bans and i will give the first single roses. this is the cfour by bans and i will give them the first single roses. this is the cfour by benz and i will give them the first single roses.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is the cfour by benz and i will give him the first single roses', 'this is the cfour by bans and i will give you the first single roses', 'this is the cfour by bans and i will give the first single roses', 'this is the cfour by bans and i will give them the first single roses', 'this is the cfour by benz and i will give them the first single roses']
[ "it is now night and the sixth floor far out into the bay", "it is now night and the sixth floor is far out into the bay", "it is now night and the six float far out into the bay", "it is now night and the six float far out into the bay", "it is now night and the sixth float far out into the bay" ]
it is now night and the six float far out into the bay
it is now night and the sixth floor far out into the bay.
it is now night and the sixth floor is far out into the bay. it is now night and the six float far out into the bay. it is now night and the six float far out into the bay. it is now night and the sixth float far out into the bay.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is now night and the sixth floor far out into the bay', 'it is now night and the sixth floor is far out into the bay', 'it is now night and the six float far out into the bay', 'it is now night and the six float far out into the bay', 'it is now night and the sixth float far out into the bay']
[ "peter was involved in the feature artist coalition many years ago", "peter was involved in the feature artists coalition many years ago", "peter was involved in the future artist collision many years ago", "pato was involved in the feature artist coalition many years ago", "peter was involved in the future artist coalition many years ago" ]
peter was involved in the featured artists coalition many years ago
peter was involved in the feature artist coalition many years ago.
peter was involved in the feature artists coalition many years ago. peter was involved in the future artist collision many years ago. pato was involved in the feature artist coalition many years ago. peter was involved in the future artist coalition many years ago.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['peter was involved in the feature artist coalition many years ago', 'peter was involved in the feature artists coalition many years ago', 'peter was involved in the future artist collision many years ago', 'pato was involved in the feature artist coalition many years ago', 'peter was involved in the future artist coalition many years ago']
[ "out of these eight were major committees and others were minor committees", "out of these eight were major committees and others were minor committees", "out of these eight were major committees and others were minor committees", "out of these eight were major committees and others were minor committees", "out of these eight were major committees and the others were minor committees" ]
out of these eight were major committees and the others were minor committees
out of these eight were major committees and others were minor committees.
out of these eight were major committees and others were minor committees. out of these eight were major committees and others were minor committees. out of these eight were major committees and others were minor committees. out of these eight were major committees and the others were minor committees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['out of these eight were major committees and others were minor committees', 'out of these eight were major committees and others were minor committees', 'out of these eight were major committees and others were minor committees', 'out of these eight were major committees and others were minor committees', 'out of these eight were major committees and the others were minor committees']
[ "however he never rose above the rank of feldwebel", "however he never rose above the rank of feldwebbel", "however he never rose above the rank of feldwebble", "however he never rose above the rank of feldweble", "however he never rose above the rank of feld weble" ]
however he never rose above the rank of feldwebel
however he never rose above the rank of feldwebel.
however he never rose above the rank of feldwebbel. however he never rose above the rank of feldwebble. however he never rose above the rank of feldweble. however he never rose above the rank of feld weble.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however he never rose above the rank of feldwebel', 'however he never rose above the rank of feldwebbel', 'however he never rose above the rank of feldwebble', 'however he never rose above the rank of feldweble', 'however he never rose above the rank of feld weble']
[ "the parish falls within the better ones out electoral law", "the parish falls within the better one south electoral wall", "the parish falls within the better one south electoral war", "the parish falls within the better one south electoral world", "the parish falls within the better ones out of electoral law" ]
the parish falls within the bathavon south electoral ward
the parish falls within the better ones out electoral law.
the parish falls within the better one south electoral wall. the parish falls within the better one south electoral war. the parish falls within the better one south electoral world. the parish falls within the better ones out of electoral law.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the parish falls within the better ones out electoral law', 'the parish falls within the better one south electoral wall', 'the parish falls within the better one south electoral war', 'the parish falls within the better one south electoral world', 'the parish falls within the better ones out of electoral law']
[ "she then proceeded to saipan to prepare for the assault on iwajima", "she then proceeded to saipan to prepare for the assault on iwo jima", "she then proceeded to saipan to prepare for the assault on iwajima", "she then proceeded to saipan to prefer for the assault on iwajima", "she then proceeded to saipan to prepare for the assault on iwo jima" ]
she then proceeded to saipan to prepare for the assault on iwo jima
she then proceeded to saipan to prepare for the assault on iwajima.
she then proceeded to saipan to prepare for the assault on iwo jima. she then proceeded to saipan to prepare for the assault on iwajima. she then proceeded to saipan to prefer for the assault on iwajima. she then proceeded to saipan to prepare for the assault on iwo jima.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she then proceeded to saipan to prepare for the assault on iwajima', 'she then proceeded to saipan to prepare for the assault on iwo jima', 'she then proceeded to saipan to prepare for the assault on iwajima', 'she then proceeded to saipan to prefer for the assault on iwajima', 'she then proceeded to saipan to prepare for the assault on iwo jima']
[ "a total of fifteen people including lelland died in the crash", "a total of fifteen people including leland died in the crash", "a total of fifteen people including leiland died in the crash", "a total of fifteen people including leyland died in the crash", "a total of fifteen people including lelland died in the crash" ]
a total of fifteen people including leland died in the crash
a total of fifteen people including lelland died in the crash.
a total of fifteen people including leland died in the crash. a total of fifteen people including leiland died in the crash. a total of fifteen people including leyland died in the crash. a total of fifteen people including lelland died in the crash.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a total of fifteen people including lelland died in the crash', 'a total of fifteen people including leland died in the crash', 'a total of fifteen people including leiland died in the crash', 'a total of fifteen people including leyland died in the crash', 'a total of fifteen people including lelland died in the crash']
[ "matthews is a former rochester democrat and chronicle columnist", "matthews is a former rochester democrat in chronicle columnists", "mathews is a former rochester democrat and chronicle columnist", "matthews is a former rochester democrat in chronicle columnets", "mathews is a former rochester democrat in chronicle columnets" ]
matthews is a former rochester democrat and chronicle columnist
matthews is a former rochester democrat and chronicle columnist.
matthews is a former rochester democrat in chronicle columnists. mathews is a former rochester democrat and chronicle columnist. matthews is a former rochester democrat in chronicle columnets. mathews is a former rochester democrat in chronicle columnets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['matthews is a former rochester democrat and chronicle columnist', 'matthews is a former rochester democrat in chronicle columnists', 'mathews is a former rochester democrat and chronicle columnist', 'matthews is a former rochester democrat in chronicle columnets', 'mathews is a former rochester democrat in chronicle columnets']
[ "so much the man of fashion", "so much the man of fashion", "so much the man of fashion", "so much the man of fashion", "so much the man of fashion" ]
so much the man of fashion
so much the man of fashion.
so much the man of fashion. so much the man of fashion. so much the man of fashion. so much the man of fashion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so much the man of fashion', 'so much the man of fashion', 'so much the man of fashion', 'so much the man of fashion', 'so much the man of fashion']
[ "poke is highly valued yet eaten very rarely", "pocky is highly valued yet eaten very rarely", "poke is highly valued yet eaten very rarely", "poor case highly valued yet eaten very rarely", "poor case highly valued yet eaten very rarely" ]
pork is highly valued yet eaten very rarely
poke is highly valued yet eaten very rarely.
pocky is highly valued yet eaten very rarely. poke is highly valued yet eaten very rarely. poor case highly valued yet eaten very rarely. poor case highly valued yet eaten very rarely.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['poke is highly valued yet eaten very rarely', 'pocky is highly valued yet eaten very rarely', 'poke is highly valued yet eaten very rarely', 'poor case highly valued yet eaten very rarely', 'poor case highly valued yet eaten very rarely']
[ "the upgrade included a new foot press with lefts", "the upgrade included a new footpress with lefts", "the upgrade included a new foot press with lefts", "the upgrade included a new foot press with lefts", "the upgrade included a new foot press with lefts" ]
the upgrade included a new footbridge with lifts
the upgrade included a new foot press with lefts.
the upgrade included a new footpress with lefts. the upgrade included a new foot press with lefts. the upgrade included a new foot press with lefts. the upgrade included a new foot press with lefts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the upgrade included a new foot press with lefts', 'the upgrade included a new footpress with lefts', 'the upgrade included a new foot press with lefts', 'the upgrade included a new foot press with lefts', 'the upgrade included a new foot press with lefts']
[ "room designed her corner and see the english country", "room designed her corner and see the english country", "room designed her corner and see the engagement ring", "room designed her corner and see the engagement ring", "room designed her corner and say the english country" ]
the groom designed her coral and silver engagement ring
room designed her corner and see the english country.
room designed her corner and see the english country. room designed her corner and see the engagement ring. room designed her corner and see the engagement ring. room designed her corner and say the english country.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['room designed her corner and see the english country', 'room designed her corner and see the english country', 'room designed her corner and see the engagement ring', 'room designed her corner and see the engagement ring', 'room designed her corner and say the english country']
[ "what did you say and how did you work it out", "what did you say and how did you work it out", "what did you say and how did you work it out", "what did you say and how did you work it out", "what did you say and how do you work it out" ]
what did he say and how did he work it out
what did you say and how did you work it out.
what did you say and how did you work it out. what did you say and how did you work it out. what did you say and how did you work it out. what did you say and how do you work it out.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what did you say and how did you work it out', 'what did you say and how did you work it out', 'what did you say and how did you work it out', 'what did you say and how did you work it out', 'what did you say and how do you work it out']
[ "she was not a horny woman nor did she insult other villages", "he was not a horny woman nor did she insult other villages", "she was not a horny woman nor did she insult other villagers", "he was not a horny woman nor did she insult other villagers", "she was not a hottie woman nor did she insult other villages" ]
she was not a haughty woman nor did she insult other villagers
she was not a horny woman nor did she insult other villages.
he was not a horny woman nor did she insult other villages. she was not a horny woman nor did she insult other villagers. he was not a horny woman nor did she insult other villagers. she was not a hottie woman nor did she insult other villages.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was not a horny woman nor did she insult other villages', 'he was not a horny woman nor did she insult other villages', 'she was not a horny woman nor did she insult other villagers', 'he was not a horny woman nor did she insult other villagers', 'she was not a hottie woman nor did she insult other villages']
[ "neville academy at annapolis maryland", "neville academy at annapolis maryland", "neville academy at annapolis maryland", "neville academy at annapolis maryland", "neville academy at annapolis maryland" ]
naval academy at annapolis maryland
neville academy at annapolis maryland.
neville academy at annapolis maryland. neville academy at annapolis maryland. neville academy at annapolis maryland. neville academy at annapolis maryland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['neville academy at annapolis maryland', 'neville academy at annapolis maryland', 'neville academy at annapolis maryland', 'neville academy at annapolis maryland', 'neville academy at annapolis maryland']
[ "the boxer or xps testimony took this fact", "the boxer or xps testimony took this fact", "the boxer codexbs testimony took this fact", "the boxer codexbs testimony took this fact", "the boxer fourxps testimony took this fact" ]
the boxer codex bears testimony to this fact
the boxer or xps testimony took this fact.
the boxer or xps testimony took this fact. the boxer codexbs testimony took this fact. the boxer codexbs testimony took this fact. the boxer fourxps testimony took this fact.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the boxer or xps testimony took this fact', 'the boxer or xps testimony took this fact', 'the boxer codexbs testimony took this fact', 'the boxer codexbs testimony took this fact', 'the boxer fourxps testimony took this fact']
[ "general level was forced to retire because of these orders", "general level was forced to retire because of these orders", "general levville was forced to retire because of these orders", "general leville was forced to retire because of these orders", "general levail was forced to retire because of these orders" ]
general lavelle was forced to retire because of these orders
general level was forced to retire because of these orders.
general level was forced to retire because of these orders. general levville was forced to retire because of these orders. general leville was forced to retire because of these orders. general levail was forced to retire because of these orders.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['general level was forced to retire because of these orders', 'general level was forced to retire because of these orders', 'general levville was forced to retire because of these orders', 'general leville was forced to retire because of these orders', 'general levail was forced to retire because of these orders']
[ "the name is also used as a bit form of mary margaret", "the name is also used as a pet form of mary margaret", "the name may is also used as a bit form of mary margaret", "the name may be also used as a bit form of mary margaret", "the name may is also used as a bit form of mary margaret" ]
the name may is also used as a pet form of mary and margaret
the name is also used as a bit form of mary margaret.
the name is also used as a pet form of mary margaret. the name may is also used as a bit form of mary margaret. the name may be also used as a bit form of mary margaret. the name may is also used as a bit form of mary margaret.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name is also used as a bit form of mary margaret', 'the name is also used as a pet form of mary margaret', 'the name may is also used as a bit form of mary margaret', 'the name may be also used as a bit form of mary margaret', 'the name may is also used as a bit form of mary margaret']
[ "the line is now under construction", "the line is now under construction", "the line is now under construction", "the line is now under construction", "the line is now under construction" ]
the line is now under construction
the line is now under construction.
the line is now under construction. the line is now under construction. the line is now under construction. the line is now under construction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the line is now under construction', 'the line is now under construction', 'the line is now under construction', 'the line is now under construction', 'the line is now under construction']
[ "he was later arrested for possession of indecent images during his operation or investigation", "he was later arrested for possession of indizent images during his operation or investigation", "he was later arrested for possession of indigent images during his operation or investigation", "he was later arrested for possession of innocent images during his operation or investigation", "he was later arrested for possession of indisent images during his operation or investigation" ]
he was later arrested for possession of indecent images during his operation ore investigation
he was later arrested for possession of indecent images during his operation or investigation.
he was later arrested for possession of indizent images during his operation or investigation. he was later arrested for possession of indigent images during his operation or investigation. he was later arrested for possession of innocent images during his operation or investigation. he was later arrested for possession of indisent images during his operation or investigation.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was later arrested for possession of indecent images during his operation or investigation', 'he was later arrested for possession of indizent images during his operation or investigation', 'he was later arrested for possession of indigent images during his operation or investigation', 'he was later arrested for possession of innocent images during his operation or investigation', 'he was later arrested for possession of indisent images during his operation or investigation']
[ "it is located in caracas", "it is located in karakas", "it is located in karakas", "it is located in caracas", "it is located in caracas" ]
it is located in caracas
it is located in caracas.
it is located in karakas. it is located in karakas. it is located in caracas. it is located in caracas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is located in caracas', 'it is located in karakas', 'it is located in karakas', 'it is located in caracas', 'it is located in caracas']
[ "temporary exhibitions include both foreign and estonian modern and contemporary art", "temporary exhibitions include both foreign and estonian modern and contemporary art", "temporary exhibitions include both foreign and estonian modern and contemporary art", "temporary exhibitions include both foreign and estonian modern and contemporary art", "temporary exhibitions include both foreign and estonian modern and contemporary art" ]
temporary exhibitions include both foreign and estonian modern and contemporary art
temporary exhibitions include both foreign and estonian modern and contemporary art.
temporary exhibitions include both foreign and estonian modern and contemporary art. temporary exhibitions include both foreign and estonian modern and contemporary art. temporary exhibitions include both foreign and estonian modern and contemporary art. temporary exhibitions include both foreign and estonian modern and contemporary art.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['temporary exhibitions include both foreign and estonian modern and contemporary art', 'temporary exhibitions include both foreign and estonian modern and contemporary art', 'temporary exhibitions include both foreign and estonian modern and contemporary art', 'temporary exhibitions include both foreign and estonian modern and contemporary art', 'temporary exhibitions include both foreign and estonian modern and contemporary art']
[ "i summarization of quadricycline proceeds slowly at low temperatures without the use of a catalyst", "isomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst", "i summarization of quadracycline proceeds slowly at low temperatures without the use of a catalyst", "i summarization of quadri cycline proceeds slowly at low temperatures without the use of a catalyst", "aisomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst" ]
isomerization of quadricyclane proceeds slowly at low temperatures without the use of a catalyst
i summarization of quadricycline proceeds slowly at low temperatures without the use of a catalyst.
isomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst. i summarization of quadracycline proceeds slowly at low temperatures without the use of a catalyst. i summarization of quadri cycline proceeds slowly at low temperatures without the use of a catalyst. aisomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i summarization of quadricycline proceeds slowly at low temperatures without the use of a catalyst', 'isomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst', 'i summarization of quadracycline proceeds slowly at low temperatures without the use of a catalyst', 'i summarization of quadri cycline proceeds slowly at low temperatures without the use of a catalyst', 'aisomerization of quadricycline proceeds slowly at low temperatures without the use of a catalyst']
[ "the band changing personal many times continues to perform around the girl", "the band changing personal many times continues to perform around the goal", "the band changing personal many times continues to perform around the girl", "the band changing personal many times continues to perform around the world", "the band changing personal many times continues to perform around the goal" ]
the band changing personnel many times continues to perform around the world
the band changing personal many times continues to perform around the girl.
the band changing personal many times continues to perform around the goal. the band changing personal many times continues to perform around the girl. the band changing personal many times continues to perform around the world. the band changing personal many times continues to perform around the goal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the band changing personal many times continues to perform around the girl', 'the band changing personal many times continues to perform around the goal', 'the band changing personal many times continues to perform around the girl', 'the band changing personal many times continues to perform around the world', 'the band changing personal many times continues to perform around the goal']
[ "the band american eyeway crosses it from north to south", "the band american highway crosses it from north to south", "the ban american highway crosses it from north to south", "the ban american eyeway crosses it from north to south", "the pan american highway crosses it from north to south" ]
the pan american highway crosses it from north to south
the band american eyeway crosses it from north to south.
the band american highway crosses it from north to south. the ban american highway crosses it from north to south. the ban american eyeway crosses it from north to south. the pan american highway crosses it from north to south.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the band american eyeway crosses it from north to south', 'the band american highway crosses it from north to south', 'the ban american highway crosses it from north to south', 'the ban american eyeway crosses it from north to south', 'the pan american highway crosses it from north to south']
[ "rogers and his wife had four children together lisa edward melinda and martha", "roches and his wife had four children together lisa edward melinda and martha", "rogers and his wife had four children together lisa edward melinda and martha", "rodgers and his wife had four children together lisa edward melinda and martha", "roches and his wife had four children together lisa edward melinda and martha" ]
rogers and his wife had four children together lisa edward melinda and martha
rogers and his wife had four children together lisa edward melinda and martha.
roches and his wife had four children together lisa edward melinda and martha. rogers and his wife had four children together lisa edward melinda and martha. rodgers and his wife had four children together lisa edward melinda and martha. roches and his wife had four children together lisa edward melinda and martha.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rogers and his wife had four children together lisa edward melinda and martha', 'roches and his wife had four children together lisa edward melinda and martha', 'rogers and his wife had four children together lisa edward melinda and martha', 'rodgers and his wife had four children together lisa edward melinda and martha', 'roches and his wife had four children together lisa edward melinda and martha']
[ "it is headquartered in the heart of busy financial district", "it is headquartered in the heart of visiting financial district", "it is headquartered in the heart of missing financial district", "it is headquartered in the heart of the missing financial district", "it is headquartered in the heart of the busy financial district" ]
it is headquartered in the heart of beijing financial district
it is headquartered in the heart of busy financial district.
it is headquartered in the heart of visiting financial district. it is headquartered in the heart of missing financial district. it is headquartered in the heart of the missing financial district. it is headquartered in the heart of the busy financial district.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is headquartered in the heart of busy financial district', 'it is headquartered in the heart of visiting financial district', 'it is headquartered in the heart of missing financial district', 'it is headquartered in the heart of the missing financial district', 'it is headquartered in the heart of the busy financial district']
[ "another important aspect of modern day is work is the metaphor for love", "another important aspect of marante is work is the metaphor for love", "another important aspect of marantay is work is the metaphor for love", "another important aspect of marantan is work is the metaphor for love", "another important aspect of laurentier is work is the metaphor for love" ]
another important aspect of morante is work is the metaphor for love
another important aspect of modern day is work is the metaphor for love.
another important aspect of marante is work is the metaphor for love. another important aspect of marantay is work is the metaphor for love. another important aspect of marantan is work is the metaphor for love. another important aspect of laurentier is work is the metaphor for love.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['another important aspect of modern day is work is the metaphor for love', 'another important aspect of marante is work is the metaphor for love', 'another important aspect of marantay is work is the metaphor for love', 'another important aspect of marantan is work is the metaphor for love', 'another important aspect of laurentier is work is the metaphor for love']
[ "the same bullets commonly referred to as o slash and english", "the same bullets commonly referred to as o slash in english", "the same ball is commonly referred to as o slash in english", "the same bullets commonly referred to as o slash in english", "the symbol is commonly referred to as o slash in english" ]
the symbol is commonly referred to as o slash in english
the same bullets commonly referred to as o slash and english.
the same bullets commonly referred to as o slash in english. the same ball is commonly referred to as o slash in english. the same bullets commonly referred to as o slash in english. the symbol is commonly referred to as o slash in english.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the same bullets commonly referred to as o slash and english', 'the same bullets commonly referred to as o slash in english', 'the same ball is commonly referred to as o slash in english', 'the same bullets commonly referred to as o slash in english', 'the symbol is commonly referred to as o slash in english']
[ "robinson began his dementia wrestling career in britain", "robinson began his cementure wrestling career in britain", "robinson began his signature wrestling career in britain", "robinson began his miniature wrestling career in britain", "robinson began his semester wrestling career in britain" ]
robinson began his amateur wrestling career in britain
robinson began his dementia wrestling career in britain.
robinson began his cementure wrestling career in britain. robinson began his signature wrestling career in britain. robinson began his miniature wrestling career in britain. robinson began his semester wrestling career in britain.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['robinson began his dementia wrestling career in britain', 'robinson began his cementure wrestling career in britain', 'robinson began his signature wrestling career in britain', 'robinson began his miniature wrestling career in britain', 'robinson began his semester wrestling career in britain']
[ "it has several farms", "it has several farms", "it has several farms", "it has several farms", "it has several farms" ]
it has several farms
it has several farms.
it has several farms. it has several farms. it has several farms. it has several farms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has several farms', 'it has several farms', 'it has several farms', 'it has several farms', 'it has several farms']
[ "nobody knows the true date of this was not", "nobody knows the proof date of this was not", "nobody knows the true date of this worsen", "nobody knows the true depth of this was not", "nobody knows the prove date of this was not" ]
nobody knows the true depth of this ocean
nobody knows the true date of this was not.
nobody knows the proof date of this was not. nobody knows the true date of this worsen. nobody knows the true depth of this was not. nobody knows the prove date of this was not.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nobody knows the true date of this was not', 'nobody knows the proof date of this was not', 'nobody knows the true date of this worsen', 'nobody knows the true depth of this was not', 'nobody knows the prove date of this was not']
[ "they have been built at urban interface areas in belfast dairy portedown and elsewhere", "they have been built at urban interface areas in belfast dairy portedown and elsewhere", "they have been built at urban interface areas in belfast dairy fortedown and elsewhere", "they have been built at urban interface areas in belfast derry portedown and elsewhere", "they have been built at urban interface areas in belfast dairy portedown and elsewhere" ]
they have been built at urban interface areas in belfast derry portadown and elsewhere
they have been built at urban interface areas in belfast dairy portedown and elsewhere.
they have been built at urban interface areas in belfast dairy portedown and elsewhere. they have been built at urban interface areas in belfast dairy fortedown and elsewhere. they have been built at urban interface areas in belfast derry portedown and elsewhere. they have been built at urban interface areas in belfast dairy portedown and elsewhere.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have been built at urban interface areas in belfast dairy portedown and elsewhere', 'they have been built at urban interface areas in belfast dairy portedown and elsewhere', 'they have been built at urban interface areas in belfast dairy fortedown and elsewhere', 'they have been built at urban interface areas in belfast derry portedown and elsewhere', 'they have been built at urban interface areas in belfast dairy portedown and elsewhere']
[ "rubber was the chief manufactured product", "rubber was the chief manufactured product", "rubber was the chief manufactured product", "robert was the chief manufactured product", "rubber was the chief manufactured product" ]
rubber was the chief manufactured product
rubber was the chief manufactured product.
rubber was the chief manufactured product. rubber was the chief manufactured product. robert was the chief manufactured product. rubber was the chief manufactured product.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rubber was the chief manufactured product', 'rubber was the chief manufactured product', 'rubber was the chief manufactured product', 'robert was the chief manufactured product', 'rubber was the chief manufactured product']
[ "e clear hints held a greater amount of money paid through them to globesban", "e clear hints held a greater amount of money paid through them to globe span", "e clear hints held a greater amount of money paid through them to globesban", "e clear hints held a greater amount of money paid through them to globe span", "e clear hints held a greater amount of money paid through them to globesban" ]
e clear hence held a greater amount of money paid through them to globespan
e clear hints held a greater amount of money paid through them to globesban.
e clear hints held a greater amount of money paid through them to globe span. e clear hints held a greater amount of money paid through them to globesban. e clear hints held a greater amount of money paid through them to globe span. e clear hints held a greater amount of money paid through them to globesban.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['e clear hints held a greater amount of money paid through them to globesban', 'e clear hints held a greater amount of money paid through them to globe span', 'e clear hints held a greater amount of money paid through them to globesban', 'e clear hints held a greater amount of money paid through them to globe span', 'e clear hints held a greater amount of money paid through them to globesban']
[ "they invented a gothic alphabet and translated the bible from greek to gothic", "they invented a gothic alphabet and translate the bible from greek to gothic", "they invent to the catholic alphabet and translate the bible from greek to gothic", "they invented a catholic alphabet and translated the bible from greek to gothic", "they invent to the gothic alphabet and translate the bible from greek to gothic" ]
there he invented the gothic alphabet and translated the bible from greek to gothic
they invented a gothic alphabet and translated the bible from greek to gothic.
they invented a gothic alphabet and translate the bible from greek to gothic. they invent to the catholic alphabet and translate the bible from greek to gothic. they invented a catholic alphabet and translated the bible from greek to gothic. they invent to the gothic alphabet and translate the bible from greek to gothic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they invented a gothic alphabet and translated the bible from greek to gothic', 'they invented a gothic alphabet and translate the bible from greek to gothic', 'they invent to the catholic alphabet and translate the bible from greek to gothic', 'they invented a catholic alphabet and translated the bible from greek to gothic', 'they invent to the gothic alphabet and translate the bible from greek to gothic']
[ "in ireland and the united kingdom this pattern is known as the plow", "in ireland and the united kingdom this pattern is known as the plought", "in ireland and the united kingdom this pattern is known as the plow", "in ireland and the united kingdom this pattern is known as the flower", "in ireland and the united kingdom this pattern is known as the plow" ]
in ireland and the united kingdom this pattern is known as the plow
in ireland and the united kingdom this pattern is known as the plow.
in ireland and the united kingdom this pattern is known as the plought. in ireland and the united kingdom this pattern is known as the plow. in ireland and the united kingdom this pattern is known as the flower. in ireland and the united kingdom this pattern is known as the plow.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in ireland and the united kingdom this pattern is known as the plow', 'in ireland and the united kingdom this pattern is known as the plought', 'in ireland and the united kingdom this pattern is known as the plow', 'in ireland and the united kingdom this pattern is known as the flower', 'in ireland and the united kingdom this pattern is known as the plow']
[ "but is betting this time proved decisive", "but is betting this time proved decisive", "but is betting this time proved decisive", "but is batting this time proved decisive", "but he is betting this time proved decisive" ]
but his batting this time proved decisive
but is betting this time proved decisive.
but is betting this time proved decisive. but is betting this time proved decisive. but is batting this time proved decisive. but he is betting this time proved decisive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but is betting this time proved decisive', 'but is betting this time proved decisive', 'but is betting this time proved decisive', 'but is batting this time proved decisive', 'but he is betting this time proved decisive']
[ "today fittleton is part of the avin river team of parishes", "today fittleton is part of the even river team of parishes", "today fittleton is part of the avon river team of parishes", "today fittleton is part of the avan river team of parishes", "today fittleton is part of the avin river team of parishes" ]
today fittleton is part of the avon river team of parishes
today fittleton is part of the avin river team of parishes.
today fittleton is part of the even river team of parishes. today fittleton is part of the avon river team of parishes. today fittleton is part of the avan river team of parishes. today fittleton is part of the avin river team of parishes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today fittleton is part of the avin river team of parishes', 'today fittleton is part of the even river team of parishes', 'today fittleton is part of the avon river team of parishes', 'today fittleton is part of the avan river team of parishes', 'today fittleton is part of the avin river team of parishes']
[ "this engine features twin chain driven balanced shafts", "this engine features twin chain driven balance charts", "this engine features twin chain driven balance shafts", "this engine features twin chain driven balanced shafts nope", "this engine features twin chain driven balanced shafts no" ]
this engine features twin chain driven balance shafts
this engine features twin chain driven balanced shafts.
this engine features twin chain driven balance charts. this engine features twin chain driven balance shafts. this engine features twin chain driven balanced shafts nope. this engine features twin chain driven balanced shafts no.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this engine features twin chain driven balanced shafts', 'this engine features twin chain driven balance charts', 'this engine features twin chain driven balance shafts', 'this engine features twin chain driven balanced shafts nope', 'this engine features twin chain driven balanced shafts no']
[ "some good expression shows that the lake located in size depth and temperature of time", "some good expression shows that the lake evaporated in size depth and temperature of time", "some good expression shows that the lake located in size depth and temperature over time", "some good expression shows that the lake evaporated in size depth and temperature over time", "some good expression shows that the lake populated in size depth and temperature of time" ]
subsequent expeditions showed that the lake fluctuated in size depth and temperature over time
some good expression shows that the lake located in size depth and temperature of time.
some good expression shows that the lake evaporated in size depth and temperature of time. some good expression shows that the lake located in size depth and temperature over time. some good expression shows that the lake evaporated in size depth and temperature over time. some good expression shows that the lake populated in size depth and temperature of time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some good expression shows that the lake located in size depth and temperature of time', 'some good expression shows that the lake evaporated in size depth and temperature of time', 'some good expression shows that the lake located in size depth and temperature over time', 'some good expression shows that the lake evaporated in size depth and temperature over time', 'some good expression shows that the lake populated in size depth and temperature of time']
[ "love herschon is grandfathers joseph locke herschon was an oil executive and a noted philanthropist in tulsa", "love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa", "love herschon is grandfathers joseph locke herschon was an oil executive and an noted philanthropist in tulsa", "love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa", "love herschone is grandfather joseph locke herschone was an oil executive and a noted philanthropist in tulsa" ]
lafortune is grandfather joseph lafortune was an oil executive and a noted philanthropist in tulsa
love herschon is grandfathers joseph locke herschon was an oil executive and a noted philanthropist in tulsa.
love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa. love herschon is grandfathers joseph locke herschon was an oil executive and an noted philanthropist in tulsa. love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa. love herschone is grandfather joseph locke herschone was an oil executive and a noted philanthropist in tulsa.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['love herschon is grandfathers joseph locke herschon was an oil executive and a noted philanthropist in tulsa', 'love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa', 'love herschon is grandfathers joseph locke herschon was an oil executive and an noted philanthropist in tulsa', 'love herschon is grandfather joseph locke herschon was an oil executive and a noted philanthropist in tulsa', 'love herschone is grandfather joseph locke herschone was an oil executive and a noted philanthropist in tulsa']
[ "the second area is the city clerk of chicago", "the secondary is the city clerk of chicago", "the second area is the city clerk of chicago", "the second area is the city cooler of chicago", "the secondary is the city clerk of chicago" ]
the secretary is the city clerk of chicago
the second area is the city clerk of chicago.
the secondary is the city clerk of chicago. the second area is the city clerk of chicago. the second area is the city cooler of chicago. the secondary is the city clerk of chicago.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the second area is the city clerk of chicago', 'the secondary is the city clerk of chicago', 'the second area is the city clerk of chicago', 'the second area is the city cooler of chicago', 'the secondary is the city clerk of chicago']
[ "a specialist subsequently confirmed that this injury would sideline him for approximately six weeks", "a specialist subsequently confirmed that this injury would sideline him for approximately six weeks", "a specialist subsequently confirmed that this injury would sideline him for approximately six weeks", "a specialist subsequently confirmed that this injury would sideline him for approximately six weeks", "a specialist subsequently confirmed that this injury would sideline him for approximately six weeks" ]
a specialist subsequently confirmed that this injury would sideline him for approximately six weeks
a specialist subsequently confirmed that this injury would sideline him for approximately six weeks.
a specialist subsequently confirmed that this injury would sideline him for approximately six weeks. a specialist subsequently confirmed that this injury would sideline him for approximately six weeks. a specialist subsequently confirmed that this injury would sideline him for approximately six weeks. a specialist subsequently confirmed that this injury would sideline him for approximately six weeks.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a specialist subsequently confirmed that this injury would sideline him for approximately six weeks', 'a specialist subsequently confirmed that this injury would sideline him for approximately six weeks', 'a specialist subsequently confirmed that this injury would sideline him for approximately six weeks', 'a specialist subsequently confirmed that this injury would sideline him for approximately six weeks', 'a specialist subsequently confirmed that this injury would sideline him for approximately six weeks']
[ "she stated she would not return to acting in the future", "she stated that she would not return to acting in the future", "she stated she would not return to acting in the future", "she stated she would not return to acting in the future", "she stated she would not return to acting in the future" ]
she stated she would not return to acting in the future
she stated she would not return to acting in the future.
she stated that she would not return to acting in the future. she stated she would not return to acting in the future. she stated she would not return to acting in the future. she stated she would not return to acting in the future.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she stated she would not return to acting in the future', 'she stated that she would not return to acting in the future', 'she stated she would not return to acting in the future', 'she stated she would not return to acting in the future', 'she stated she would not return to acting in the future']
[ "falcarinon was also credited for helping to prevent colon cancer", "falcarinone was also credited for helping to prevent colon cancer", "falkarinon was also credited for helping to prevent colon cancer", "falcarinon was also credited for helping to prevent colon cancer", "falcarinon was also credited for helping to prevent colon cancer" ]
falcarinol was also credited for helping to prevent colon cancer
falcarinon was also credited for helping to prevent colon cancer.
falcarinone was also credited for helping to prevent colon cancer. falkarinon was also credited for helping to prevent colon cancer. falcarinon was also credited for helping to prevent colon cancer. falcarinon was also credited for helping to prevent colon cancer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['falcarinon was also credited for helping to prevent colon cancer', 'falcarinone was also credited for helping to prevent colon cancer', 'falkarinon was also credited for helping to prevent colon cancer', 'falcarinon was also credited for helping to prevent colon cancer', 'falcarinon was also credited for helping to prevent colon cancer']
[ "few disks and essentially no information survive", "few disks and essentially no information survive", "a few disks and essentially no information survive", "a few disks and essentially no information survive", "few disks and essentially no information survive" ]
few disks and essentially no information survive
few disks and essentially no information survive.
few disks and essentially no information survive. a few disks and essentially no information survive. a few disks and essentially no information survive. few disks and essentially no information survive.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['few disks and essentially no information survive', 'few disks and essentially no information survive', 'a few disks and essentially no information survive', 'a few disks and essentially no information survive', 'few disks and essentially no information survive']
[ "however greg is heart belonged to jenny gardner a warm hearted working class girl", "however greg is heart belonged to ginny gardner a warm hearted working class girl", "however greg is heart belonged to jenny gardner a warm hearted working class girl", "however greg is heart belonged to jenny gardner a warmhearted working class girl", "however greg is heart belonged to ginny gardner a warmhearted working class girl" ]
however greg is heart belonged to jenny gardner a warm hearted working class girl
however greg is heart belonged to jenny gardner a warm hearted working class girl.
however greg is heart belonged to ginny gardner a warm hearted working class girl. however greg is heart belonged to jenny gardner a warm hearted working class girl. however greg is heart belonged to jenny gardner a warmhearted working class girl. however greg is heart belonged to ginny gardner a warmhearted working class girl.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however greg is heart belonged to jenny gardner a warm hearted working class girl', 'however greg is heart belonged to ginny gardner a warm hearted working class girl', 'however greg is heart belonged to jenny gardner a warm hearted working class girl', 'however greg is heart belonged to jenny gardner a warmhearted working class girl', 'however greg is heart belonged to ginny gardner a warmhearted working class girl']
[ "the suspension is independent of the front and rear using transverse leaf springs", "the suspension is independent of different and rear using transverse leaf springs", "the suspension is independent of the front and rear using transverse leaf springs", "the suspension is independent of the front and rear using transverse leaf springs", "the suspension is independent of the front and rear using transverse leaf springs" ]
the suspension is independent at the front and rear using transverse leaf springs
the suspension is independent of the front and rear using transverse leaf springs.
the suspension is independent of different and rear using transverse leaf springs. the suspension is independent of the front and rear using transverse leaf springs. the suspension is independent of the front and rear using transverse leaf springs. the suspension is independent of the front and rear using transverse leaf springs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the suspension is independent of the front and rear using transverse leaf springs', 'the suspension is independent of different and rear using transverse leaf springs', 'the suspension is independent of the front and rear using transverse leaf springs', 'the suspension is independent of the front and rear using transverse leaf springs', 'the suspension is independent of the front and rear using transverse leaf springs']
[ "the play is working against the clock all the time", "the play is working down to the clock all the time", "the play is working down to the clock all the time", "the play is working down to the clock all the time", "the play is working down to the clock all the time" ]
the player is working against the clock all the time
the play is working against the clock all the time.
the play is working down to the clock all the time. the play is working down to the clock all the time. the play is working down to the clock all the time. the play is working down to the clock all the time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the play is working against the clock all the time', 'the play is working down to the clock all the time', 'the play is working down to the clock all the time', 'the play is working down to the clock all the time', 'the play is working down to the clock all the time']
[ "the holes are considered to have been an originally scandinavian paper", "the holes are considered to have been and originally scandinavian people", "the holes are considered to have been an originally scandinavian people", "the whores are considered to have been an originally scandinavian people", "the whores are considered to have been an originally scandinavian paper" ]
the heruls are considered to have been an originally scandinavian people
the holes are considered to have been an originally scandinavian paper.
the holes are considered to have been and originally scandinavian people. the holes are considered to have been an originally scandinavian people. the whores are considered to have been an originally scandinavian people. the whores are considered to have been an originally scandinavian paper.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the holes are considered to have been an originally scandinavian paper', 'the holes are considered to have been and originally scandinavian people', 'the holes are considered to have been an originally scandinavian people', 'the whores are considered to have been an originally scandinavian people', 'the whores are considered to have been an originally scandinavian paper']
[ "it turns out that the irreducible variety is correspond to primal ideals", "it turns out that the irreducible variety is corresponded to primal ideals", "it turns out that the irreducible variety is corresponding to primal ideals", "it turns out that the irreducible variety is corresponded to primal ideas", "it turns out that the irreducible variety is correspond to primal ideas" ]
it turns out that the irreducible varieties correspond to prime ideals
it turns out that the irreducible variety is correspond to primal ideals.
it turns out that the irreducible variety is corresponded to primal ideals. it turns out that the irreducible variety is corresponding to primal ideals. it turns out that the irreducible variety is corresponded to primal ideas. it turns out that the irreducible variety is correspond to primal ideas.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it turns out that the irreducible variety is correspond to primal ideals', 'it turns out that the irreducible variety is corresponded to primal ideals', 'it turns out that the irreducible variety is corresponding to primal ideals', 'it turns out that the irreducible variety is corresponded to primal ideas', 'it turns out that the irreducible variety is correspond to primal ideas']
[ "the special education administrator is beth sana", "the special education administrator is beth santa", "the special education administrator is beth santa", "the special education administrator is beth santa", "the special education administrator is beth sana" ]
the special education administrator is beth sanna
the special education administrator is beth sana.
the special education administrator is beth santa. the special education administrator is beth santa. the special education administrator is beth santa. the special education administrator is beth sana.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the special education administrator is beth sana', 'the special education administrator is beth santa', 'the special education administrator is beth santa', 'the special education administrator is beth santa', 'the special education administrator is beth sana']
[ "the airport is the primary reliever of the buffalo niagara international airport", "the airport is the primary reliever of the buffalo niagara international airport", "the airport is the primary reliever of the buffalo niagara international airport", "the airport is the primary reliever of the buffalo niagara international airport", "the airport is the primary reliever of the buffalo niagara international airport" ]
the airport is the primary reliever of the buffalo niagara international airport
the airport is the primary reliever of the buffalo niagara international airport.
the airport is the primary reliever of the buffalo niagara international airport. the airport is the primary reliever of the buffalo niagara international airport. the airport is the primary reliever of the buffalo niagara international airport. the airport is the primary reliever of the buffalo niagara international airport.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the airport is the primary reliever of the buffalo niagara international airport', 'the airport is the primary reliever of the buffalo niagara international airport', 'the airport is the primary reliever of the buffalo niagara international airport', 'the airport is the primary reliever of the buffalo niagara international airport', 'the airport is the primary reliever of the buffalo niagara international airport']
[ "the songs featured on the album are from deep purpose burn and storm bringer albums", "the songs featured on the album are from deep purpose burn and stormbringer albums", "the songs featured on the album are from deep herpes burn and storm bringer albums", "the songs featured on the album are from deep purpose burn and storm bringer albums", "the songs featured on the album are from deep purple is burn and storm bringer albums" ]
the songs featured on the album are from deep purple is burn and stormbringer albums
the songs featured on the album are from deep purpose burn and storm bringer albums.
the songs featured on the album are from deep purpose burn and stormbringer albums. the songs featured on the album are from deep herpes burn and storm bringer albums. the songs featured on the album are from deep purpose burn and storm bringer albums. the songs featured on the album are from deep purple is burn and storm bringer albums.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the songs featured on the album are from deep purpose burn and storm bringer albums', 'the songs featured on the album are from deep purpose burn and stormbringer albums', 'the songs featured on the album are from deep herpes burn and storm bringer albums', 'the songs featured on the album are from deep purpose burn and storm bringer albums', 'the songs featured on the album are from deep purple is burn and storm bringer albums']
[ "the island is one of the best places in virginia to see gray seals", "the island is one of the best places in virginia to see great seals", "the island is one of the best places in virginia to see gray seals", "the island is one of the best places in virginia to see great things", "the island is one of the best places in brittany to see gray seals" ]
the island is one of the best places in gwynedd to see gray seals
the island is one of the best places in virginia to see gray seals.
the island is one of the best places in virginia to see great seals. the island is one of the best places in virginia to see gray seals. the island is one of the best places in virginia to see great things. the island is one of the best places in brittany to see gray seals.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the island is one of the best places in virginia to see gray seals', 'the island is one of the best places in virginia to see great seals', 'the island is one of the best places in virginia to see gray seals', 'the island is one of the best places in virginia to see great things', 'the island is one of the best places in brittany to see gray seals']
[ "shortly thereafter joanne witnesses the coronation of charles", "shortly thereafter joann witnesses the coronation of charles", "shortly thereafter jo and witnesses the coronation of charles", "shortly thereafter joanne witnesses the coronation of charles", "shortly thereafter joanne witnesses the coronation of jalsa" ]
shortly thereafter joan witnesses the coronation of charles
shortly thereafter joanne witnesses the coronation of charles.
shortly thereafter joann witnesses the coronation of charles. shortly thereafter jo and witnesses the coronation of charles. shortly thereafter joanne witnesses the coronation of charles. shortly thereafter joanne witnesses the coronation of jalsa.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shortly thereafter joanne witnesses the coronation of charles', 'shortly thereafter joann witnesses the coronation of charles', 'shortly thereafter jo and witnesses the coronation of charles', 'shortly thereafter joanne witnesses the coronation of charles', 'shortly thereafter joanne witnesses the coronation of jalsa']
[ "the tour for the album began after lee is release from prison", "the tour for the alpen began after lee is release from prison", "the tour for the album began after lees release from prison", "the tour for the album began after lees release from prison", "the tour for the album began after lees release from prison" ]
the tour for the album began after lee is release from prison
the tour for the album began after lee is release from prison.
the tour for the alpen began after lee is release from prison. the tour for the album began after lees release from prison. the tour for the album began after lees release from prison. the tour for the album began after lees release from prison.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tour for the album began after lee is release from prison', 'the tour for the alpen began after lee is release from prison', 'the tour for the album began after lees release from prison', 'the tour for the album began after lees release from prison', 'the tour for the album began after lees release from prison']
[ "the work on city court of arms is present in the white house", "the vatican city court of arms is present in the white house", "the watkins city court of arms is present in the white house", "the working city court of arms is present in the white house", "the worth can see the court of arms is present in the vault half" ]
the vatican city coat of arms is present in the white half
the work on city court of arms is present in the white house.
the vatican city court of arms is present in the white house. the watkins city court of arms is present in the white house. the working city court of arms is present in the white house. the worth can see the court of arms is present in the vault half.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the work on city court of arms is present in the white house', 'the vatican city court of arms is present in the white house', 'the watkins city court of arms is present in the white house', 'the working city court of arms is present in the white house', 'the worth can see the court of arms is present in the vault half']
[ "the same year he was elected to be a fellow of the royal society", "the same year he was elected to be a fellow of the royal society", "the same year he was elected to be a fellow of the royal society", "the same year he was elected to be a fellow of the royal society", "the same year he was elected to be a fellow of the royal society" ]
the same year he was elected to be a fellow of the royal society
the same year he was elected to be a fellow of the royal society.
the same year he was elected to be a fellow of the royal society. the same year he was elected to be a fellow of the royal society. the same year he was elected to be a fellow of the royal society. the same year he was elected to be a fellow of the royal society.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the same year he was elected to be a fellow of the royal society', 'the same year he was elected to be a fellow of the royal society', 'the same year he was elected to be a fellow of the royal society', 'the same year he was elected to be a fellow of the royal society', 'the same year he was elected to be a fellow of the royal society']
[ "the festival continues to gain momentum and has gathered a faithful following", "the festival continues to gain momentum and as gathered are faithful following", "the festival continues to gain momentum and as gathered a faithful following", "the festival continues to gain momentum and it has gathered a faithful following", "the festival continues to gain momentum and us gather to pay for following" ]
the festival continues to gain momentum and has gathered a faithful following
the festival continues to gain momentum and has gathered a faithful following.
the festival continues to gain momentum and as gathered are faithful following. the festival continues to gain momentum and as gathered a faithful following. the festival continues to gain momentum and it has gathered a faithful following. the festival continues to gain momentum and us gather to pay for following.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the festival continues to gain momentum and has gathered a faithful following', 'the festival continues to gain momentum and as gathered are faithful following', 'the festival continues to gain momentum and as gathered a faithful following', 'the festival continues to gain momentum and it has gathered a faithful following', 'the festival continues to gain momentum and us gather to pay for following']
[ "planum is quarters is open on weekends during this summer", "planum is quarters is open when we can steering this summer", "planum is quarters is open on weekends during the summer", "planum is quarters is open when we can steering this summer", "burnham is quarters is open on weekends during this summer" ]
varnum is quarters is open on weekends during the summer
planum is quarters is open on weekends during this summer.
planum is quarters is open when we can steering this summer. planum is quarters is open on weekends during the summer. planum is quarters is open when we can steering this summer. burnham is quarters is open on weekends during this summer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['planum is quarters is open on weekends during this summer', 'planum is quarters is open when we can steering this summer', 'planum is quarters is open on weekends during the summer', 'planum is quarters is open when we can steering this summer', 'burnham is quarters is open on weekends during this summer']
[ "albert is in the audience with professor petzold", "albert is in the audience with professor petsold", "albert is in the audience with professor petzald", "albert is in the audience with professor pettsold", "albert is in the audience with professor pat salt" ]
albert is in the audience with professor petzold
albert is in the audience with professor petzold.
albert is in the audience with professor petsold. albert is in the audience with professor petzald. albert is in the audience with professor pettsold. albert is in the audience with professor pat salt.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['albert is in the audience with professor petzold', 'albert is in the audience with professor petsold', 'albert is in the audience with professor petzald', 'albert is in the audience with professor pettsold', 'albert is in the audience with professor pat salt']
[ "marcam unionville is part of the town of marcam in the regional municipality of york", "marcam unionville is part of the down of marcam in the regional municipality of york", "marcam unionville is part of the town of marcam in the regional municipality of york", "markham unionville is part of the town of markham in the regional municipality of york", "marcam unionville is part of the down of marcam in the regional municipality of york" ]
markham unionville is part of the town of markham in the regional municipality of york
marcam unionville is part of the town of marcam in the regional municipality of york.
marcam unionville is part of the down of marcam in the regional municipality of york. marcam unionville is part of the town of marcam in the regional municipality of york. markham unionville is part of the town of markham in the regional municipality of york. marcam unionville is part of the down of marcam in the regional municipality of york.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['marcam unionville is part of the town of marcam in the regional municipality of york', 'marcam unionville is part of the down of marcam in the regional municipality of york', 'marcam unionville is part of the town of marcam in the regional municipality of york', 'markham unionville is part of the town of markham in the regional municipality of york', 'marcam unionville is part of the down of marcam in the regional municipality of york']
[ "he often references old masters paintings for the pose of the figure", "he often references old masters paintings for the pause of the figure", "he often references old master is paintings for the pose of the figure", "he often references old masters paintings for the paws of the figure", "he often references old master paintings for the pose of the figure" ]
he often references old masters paintings for the pose of the figure
he often references old masters paintings for the pose of the figure.
he often references old masters paintings for the pause of the figure. he often references old master is paintings for the pose of the figure. he often references old masters paintings for the paws of the figure. he often references old master paintings for the pose of the figure.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he often references old masters paintings for the pose of the figure', 'he often references old masters paintings for the pause of the figure', 'he often references old master is paintings for the pose of the figure', 'he often references old masters paintings for the paws of the figure', 'he often references old master paintings for the pose of the figure']
[ "the gas site is large and without constrictions", "the gas site is large and without constructions", "the gas site is large and with that constructions", "the gas site is large and without construction", "the gas site is large and with that construction" ]
the gaster is large and without constrictions
the gas site is large and without constrictions.
the gas site is large and without constructions. the gas site is large and with that constructions. the gas site is large and without construction. the gas site is large and with that construction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the gas site is large and without constrictions', 'the gas site is large and without constructions', 'the gas site is large and with that constructions', 'the gas site is large and without construction', 'the gas site is large and with that construction']
[ "the global campus eventually became the first online seminary to offer a credited degrees", "the global campus eventually became the first online seminary to offer accredited degrees", "the global campus eventually became the first online seminary to offer a credited degree", "the global campus eventually became the first online seminary to offer a credited decrease", "the global campus eventually became the first online seminary to offer a creditate degrees" ]
the global campus eventually became the first online seminary to offer accredited degrees
the global campus eventually became the first online seminary to offer a credited degrees.
the global campus eventually became the first online seminary to offer accredited degrees. the global campus eventually became the first online seminary to offer a credited degree. the global campus eventually became the first online seminary to offer a credited decrease. the global campus eventually became the first online seminary to offer a creditate degrees.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the global campus eventually became the first online seminary to offer a credited degrees', 'the global campus eventually became the first online seminary to offer accredited degrees', 'the global campus eventually became the first online seminary to offer a credited degree', 'the global campus eventually became the first online seminary to offer a credited decrease', 'the global campus eventually became the first online seminary to offer a creditate degrees']
[ "web based and enterprise applications use an application server to handle connection pooling", "web based and enterprise applications use an application server to handle connection pooling", "web based and enterprise applications use an application server to handle connection pooling", "web based and enterprise applications use an application server to handle connection pooling", "web based and enterprise applications use an application server to handle connection pooling" ]
web based and enterprise applications use an application server to handle connection pooling
web based and enterprise applications use an application server to handle connection pooling.
web based and enterprise applications use an application server to handle connection pooling. web based and enterprise applications use an application server to handle connection pooling. web based and enterprise applications use an application server to handle connection pooling. web based and enterprise applications use an application server to handle connection pooling.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['web based and enterprise applications use an application server to handle connection pooling', 'web based and enterprise applications use an application server to handle connection pooling', 'web based and enterprise applications use an application server to handle connection pooling', 'web based and enterprise applications use an application server to handle connection pooling', 'web based and enterprise applications use an application server to handle connection pooling']
[ "her other daughter in law olpa remains in my lab", "her other daughter in law orpah remains in my lab", "her other daughter in law alpa remains in my lab", "her other daughter in law orpah remains in my lab", "her other daughter in law ulpa remains in my lab" ]
her other daughter in law orpah remains in moab
her other daughter in law olpa remains in my lab.
her other daughter in law orpah remains in my lab. her other daughter in law alpa remains in my lab. her other daughter in law orpah remains in my lab. her other daughter in law ulpa remains in my lab.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her other daughter in law olpa remains in my lab', 'her other daughter in law orpah remains in my lab', 'her other daughter in law alpa remains in my lab', 'her other daughter in law orpah remains in my lab', 'her other daughter in law ulpa remains in my lab']
[ "he also produces editorial cartoons for the esther republic and the fairbanks daily news miner", "he also produces editorial cartoons for the esther republic and the fairbanks daily news minor", "he also produces editorial cartoons for the esther republic and the fairbanks daily news minor", "he also produces editorial cartoons for the esther republic and the fairbank is daily news miner", "he also produces editorial cartoons for the esther republic and the fairbanks daily news miner" ]
he also produces editorial cartoons for the ester republic and the fairbanks daily news miner
he also produces editorial cartoons for the esther republic and the fairbanks daily news miner.
he also produces editorial cartoons for the esther republic and the fairbanks daily news minor. he also produces editorial cartoons for the esther republic and the fairbanks daily news minor. he also produces editorial cartoons for the esther republic and the fairbank is daily news miner. he also produces editorial cartoons for the esther republic and the fairbanks daily news miner.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also produces editorial cartoons for the esther republic and the fairbanks daily news miner', 'he also produces editorial cartoons for the esther republic and the fairbanks daily news minor', 'he also produces editorial cartoons for the esther republic and the fairbanks daily news minor', 'he also produces editorial cartoons for the esther republic and the fairbank is daily news miner', 'he also produces editorial cartoons for the esther republic and the fairbanks daily news miner']
[ "shami is originally from sabespa related amora uttar pradesh", "shami is originally from sabespa related amora uttar pratish", "shami is originally from sabispa related amora uttar pradesh", "shami is originally from sabispa related amora uttar pratish", "shami is originally from sabespa related to amora uttar pradesh" ]
shami is originally from sahaspur village in amroha uttar pradesh
shami is originally from sabespa related amora uttar pradesh.
shami is originally from sabespa related amora uttar pratish. shami is originally from sabispa related amora uttar pradesh. shami is originally from sabispa related amora uttar pratish. shami is originally from sabespa related to amora uttar pradesh.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shami is originally from sabespa related amora uttar pradesh', 'shami is originally from sabespa related amora uttar pratish', 'shami is originally from sabispa related amora uttar pradesh', 'shami is originally from sabispa related amora uttar pratish', 'shami is originally from sabespa related to amora uttar pradesh']
[ "the california team prevailed in full of five games", "the california tain prevailed in full of five games", "the california attain prevailed in full of five games", "the california team prevailed in full of five games", "the california tame prevailed in full of five games" ]
the california team prevailed in four of the five games
the california team prevailed in full of five games.
the california tain prevailed in full of five games. the california attain prevailed in full of five games. the california team prevailed in full of five games. the california tame prevailed in full of five games.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the california team prevailed in full of five games', 'the california tain prevailed in full of five games', 'the california attain prevailed in full of five games', 'the california team prevailed in full of five games', 'the california tame prevailed in full of five games']
[ "my mom does not think i have an unusual voice though", "my mom does not think i have an unusual voice though", "my mom does not think i have an unusual voice though", "my mom does not think i have an unusual voice though", "my mom does not think i have an unusual voice though" ]
my mom does not think i have an unusual voice though
my mom does not think i have an unusual voice though.
my mom does not think i have an unusual voice though. my mom does not think i have an unusual voice though. my mom does not think i have an unusual voice though. my mom does not think i have an unusual voice though.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my mom does not think i have an unusual voice though', 'my mom does not think i have an unusual voice though', 'my mom does not think i have an unusual voice though', 'my mom does not think i have an unusual voice though', 'my mom does not think i have an unusual voice though']
[ "by the two to rage the defense themselves has been super stressed by gunpowder", "by the tutorage the defense themselves has been super stressed by gunpowder", "by the tudorage the defense themselves has been super stressed by gunpowder", "by the tudorage the difference themselves has been super stressed by gunpowder", "by the two to rage the defense themselves has been super stalled by gunpowder" ]
by the tudor age the defenses themselves had been superseded by gunpowder
by the two to rage the defense themselves has been super stressed by gunpowder.
by the tutorage the defense themselves has been super stressed by gunpowder. by the tudorage the defense themselves has been super stressed by gunpowder. by the tudorage the difference themselves has been super stressed by gunpowder. by the two to rage the defense themselves has been super stalled by gunpowder.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['by the two to rage the defense themselves has been super stressed by gunpowder', 'by the tutorage the defense themselves has been super stressed by gunpowder', 'by the tudorage the defense themselves has been super stressed by gunpowder', 'by the tudorage the difference themselves has been super stressed by gunpowder', 'by the two to rage the defense themselves has been super stalled by gunpowder']
[ "the catatone creek flows past the village", "the catatone creek flows past the village", "the cataton creek flows past the village", "the catatone creak flows past the village", "the cataton creek flows past the village" ]
the catatonk creek flows past the village
the catatone creek flows past the village.
the catatone creek flows past the village. the cataton creek flows past the village. the catatone creak flows past the village. the cataton creek flows past the village.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the catatone creek flows past the village', 'the catatone creek flows past the village', 'the cataton creek flows past the village', 'the catatone creak flows past the village', 'the cataton creek flows past the village']
[ "they later relocated to malvern on long island", "they later relocate to malvern on long island", "they later relocated to malvern on long island", "they later relocate to malvern on long island", "they later relocated to malvern on long island" ]
they later relocated to malverne on long island
they later relocated to malvern on long island.
they later relocate to malvern on long island. they later relocated to malvern on long island. they later relocate to malvern on long island. they later relocated to malvern on long island.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they later relocated to malvern on long island', 'they later relocate to malvern on long island', 'they later relocated to malvern on long island', 'they later relocate to malvern on long island', 'they later relocated to malvern on long island']
[ "neutrons are produced in the spontaneous and induced fusion of certain heavy nucleates", "neutrons are produced in the spontaneous and induced fission of certain heavy nucleates", "neutrons are produced in the spontaneous and induced fission of certain heavy new clites", "neutrons are produced in the spontaneous and induced vision of certain heavy nucleates", "neutrons are produced in the spontaneous and induced fission of certain heavy nucleus" ]
neutrons are also produced in the spontaneous and induced fission of certain heavy nucleides
neutrons are produced in the spontaneous and induced fusion of certain heavy nucleates.
neutrons are produced in the spontaneous and induced fission of certain heavy nucleates. neutrons are produced in the spontaneous and induced fission of certain heavy new clites. neutrons are produced in the spontaneous and induced vision of certain heavy nucleates. neutrons are produced in the spontaneous and induced fission of certain heavy nucleus.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['neutrons are produced in the spontaneous and induced fusion of certain heavy nucleates', 'neutrons are produced in the spontaneous and induced fission of certain heavy nucleates', 'neutrons are produced in the spontaneous and induced fission of certain heavy new clites', 'neutrons are produced in the spontaneous and induced vision of certain heavy nucleates', 'neutrons are produced in the spontaneous and induced fission of certain heavy nucleus']
[ "when positive voltages apply to the node no current flows", "one positive voltage is applied to the node no current flows", "when positive voltages applied to the node no current flows", "when positive voltage is applied to the node no current flows", "one positive voltage is applied to a node no current flows" ]
when positive voltage is applied to the anode no current flows
when positive voltages apply to the node no current flows.
one positive voltage is applied to the node no current flows. when positive voltages applied to the node no current flows. when positive voltage is applied to the node no current flows. one positive voltage is applied to a node no current flows.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when positive voltages apply to the node no current flows', 'one positive voltage is applied to the node no current flows', 'when positive voltages applied to the node no current flows', 'when positive voltage is applied to the node no current flows', 'one positive voltage is applied to a node no current flows']
[ "the specific name cantorius is in honor of danish zoologist theodor edward cantor", "the specific name cantories is in honor of danish zoologist theodor edward cantor", "the specific name cantorius is an honor of danish zoologist theodor edward cantor", "the specific name cantorius is in honor of danish zoologist theodor edward cantor", "the specific name cantories is in honor of danish zoologist theodor edward cantor" ]
the specific name cantoris is in honor of danish zoologist theodore edward cantor
the specific name cantorius is in honor of danish zoologist theodor edward cantor.
the specific name cantories is in honor of danish zoologist theodor edward cantor. the specific name cantorius is an honor of danish zoologist theodor edward cantor. the specific name cantorius is in honor of danish zoologist theodor edward cantor. the specific name cantories is in honor of danish zoologist theodor edward cantor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the specific name cantorius is in honor of danish zoologist theodor edward cantor', 'the specific name cantories is in honor of danish zoologist theodor edward cantor', 'the specific name cantorius is an honor of danish zoologist theodor edward cantor', 'the specific name cantorius is in honor of danish zoologist theodor edward cantor', 'the specific name cantories is in honor of danish zoologist theodor edward cantor']
[ "he had been president of the super saver group of stores", "he had been president of the super saver group of stores", "he had been president of the super saver group of stores", "he had been president of the super saver group of stores", "he had been president of the super saver group of stores" ]
he had been president of the super saver group of stores
he had been president of the super saver group of stores.
he had been president of the super saver group of stores. he had been president of the super saver group of stores. he had been president of the super saver group of stores. he had been president of the super saver group of stores.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he had been president of the super saver group of stores', 'he had been president of the super saver group of stores', 'he had been president of the super saver group of stores', 'he had been president of the super saver group of stores', 'he had been president of the super saver group of stores']
[ "not all platforms are solid some dk once pleger has walked on them", "not all platforms are solid some dk once plegger has walked on them", "note all platforms are solid some dk once pleger has walked on them", "not all platforms are solid some dk once pleger has walked on them", "not all platforms are solid some dk once plucker has walked on them" ]
not all platforms are solid some decay once blagger has walked on them
not all platforms are solid some dk once pleger has walked on them.
not all platforms are solid some dk once plegger has walked on them. note all platforms are solid some dk once pleger has walked on them. not all platforms are solid some dk once pleger has walked on them. not all platforms are solid some dk once plucker has walked on them.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not all platforms are solid some dk once pleger has walked on them', 'not all platforms are solid some dk once plegger has walked on them', 'note all platforms are solid some dk once pleger has walked on them', 'not all platforms are solid some dk once pleger has walked on them', 'not all platforms are solid some dk once plucker has walked on them']
[ "several players left an independence for bigger salaries with other teams", "several players left the independence for bigger salaries with other teams", "several players left their independence for bigger salaries with other teams", "several players left a independence for bigger salaries with other teams", "several players left her independence for bigger salaries with other teams" ]
several players left the independents for bigger salaries with other teams
several players left an independence for bigger salaries with other teams.
several players left the independence for bigger salaries with other teams. several players left their independence for bigger salaries with other teams. several players left a independence for bigger salaries with other teams. several players left her independence for bigger salaries with other teams.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['several players left an independence for bigger salaries with other teams', 'several players left the independence for bigger salaries with other teams', 'several players left their independence for bigger salaries with other teams', 'several players left a independence for bigger salaries with other teams', 'several players left her independence for bigger salaries with other teams']
[ "telling mac is currently placed for the jess tatner eagles", "telling mac is currently placed for the jess tetner eagles", "telling mac is currently placed for the just tatner eagles", "telling maccus currently plays for the jess tatner eagles", "telling makas currently plays for the jess tatner eagles" ]
telemachus currently plays for the gestetner eagles
telling mac is currently placed for the jess tatner eagles.
telling mac is currently placed for the jess tetner eagles. telling mac is currently placed for the just tatner eagles. telling maccus currently plays for the jess tatner eagles. telling makas currently plays for the jess tatner eagles.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['telling mac is currently placed for the jess tatner eagles', 'telling mac is currently placed for the jess tetner eagles', 'telling mac is currently placed for the just tatner eagles', 'telling maccus currently plays for the jess tatner eagles', 'telling makas currently plays for the jess tatner eagles']
[ "sometimes her name is also spelled sussi sussanti", "sometimes her name is also spelled sus", "sometimes her name is also spelled sussi sussanti", "sometimes her name is also spelled sussi susanti", "sometimes her name is also spelled susi susanti" ]
sometimes her name is also spelled susi susanti
sometimes her name is also spelled sussi sussanti.
sometimes her name is also spelled sus. sometimes her name is also spelled sussi sussanti. sometimes her name is also spelled sussi susanti. sometimes her name is also spelled susi susanti.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sometimes her name is also spelled sussi sussanti', 'sometimes her name is also spelled sus', 'sometimes her name is also spelled sussi sussanti', 'sometimes her name is also spelled sussi susanti', 'sometimes her name is also spelled susi susanti']
[ "not all calendars use the solar el as a unit", "not all calendars use the solid el as a unit", "not all calendars use the sol and el as a unit", "not all calendars use the solor el as a unit", "not all calendars use the solar el as a unit" ]
not all calendars use the solar year as a unit
not all calendars use the solar el as a unit.
not all calendars use the solid el as a unit. not all calendars use the sol and el as a unit. not all calendars use the solor el as a unit. not all calendars use the solar el as a unit.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['not all calendars use the solar el as a unit', 'not all calendars use the solid el as a unit', 'not all calendars use the sol and el as a unit', 'not all calendars use the solor el as a unit', 'not all calendars use the solar el as a unit']
[ "he is also a successful freelance artist", "he is also a successful freelancer artist", "he is also a successful freelance artist", "he is also a successful freelance artist", "he is also a successful freelance artist" ]
he is also a successful freelance artist
he is also a successful freelance artist.
he is also a successful freelancer artist. he is also a successful freelance artist. he is also a successful freelance artist. he is also a successful freelance artist.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is also a successful freelance artist', 'he is also a successful freelancer artist', 'he is also a successful freelance artist', 'he is also a successful freelance artist', 'he is also a successful freelance artist']
[ "song number three was by plain sailing a five piece group singing easy", "song number three was by plain sailing a five piece group singing easy", "song number three was by playing sailing a five piece group singing easy", "song number three was by playing sailing at five peace groups singing easy", "song number three was by playing sailing a five piece group singing easy" ]
song number three was by plain sailing a five piece group singing easy
song number three was by plain sailing a five piece group singing easy.
song number three was by plain sailing a five piece group singing easy. song number three was by playing sailing a five piece group singing easy. song number three was by playing sailing at five peace groups singing easy. song number three was by playing sailing a five piece group singing easy.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['song number three was by plain sailing a five piece group singing easy', 'song number three was by plain sailing a five piece group singing easy', 'song number three was by playing sailing a five piece group singing easy', 'song number three was by playing sailing at five peace groups singing easy', 'song number three was by playing sailing a five piece group singing easy']
[ "locally he is also known as bill bill swartz", "locally he is also known as bill bill swartz", "locally he is also known as bill bill swartz", "locally he is also known as bill bill swartz", "locally he is also known as bill bill swartz" ]
locally he is also known as bill bill swartz
locally he is also known as bill bill swartz.
locally he is also known as bill bill swartz. locally he is also known as bill bill swartz. locally he is also known as bill bill swartz. locally he is also known as bill bill swartz.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['locally he is also known as bill bill swartz', 'locally he is also known as bill bill swartz', 'locally he is also known as bill bill swartz', 'locally he is also known as bill bill swartz', 'locally he is also known as bill bill swartz']
[ "all songs by ron hawkins except were noted", "all songs by ron hockins except were noted", "all songs by ron hawkins accept were noted", "all songs by ron hawkins except we are noted", "all songs by ron hawkins except were noted" ]
all songs by ron hawkins except where noted
all songs by ron hawkins except were noted.
all songs by ron hockins except were noted. all songs by ron hawkins accept were noted. all songs by ron hawkins except we are noted. all songs by ron hawkins except were noted.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all songs by ron hawkins except were noted', 'all songs by ron hockins except were noted', 'all songs by ron hawkins accept were noted', 'all songs by ron hawkins except we are noted', 'all songs by ron hawkins except were noted']
[ "in our post war research we continue to investigate better decay", "in our post war research we continue to investigate better decay", "and our post war research will continue to investigate better decay", "in her post war research we continue to investigate better decay", "in our post war research we continue to investigate but are decayed" ]
in her post war research wu continued to investigate beta decay
in our post war research we continue to investigate better decay.
in our post war research we continue to investigate better decay. and our post war research will continue to investigate better decay. in her post war research we continue to investigate better decay. in our post war research we continue to investigate but are decayed.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in our post war research we continue to investigate better decay', 'in our post war research we continue to investigate better decay', 'and our post war research will continue to investigate better decay', 'in her post war research we continue to investigate better decay', 'in our post war research we continue to investigate but are decayed']
[ "reasons include portals and general quality of surfers", "reasons include portals and general quality of service", "reasons include portals and general quality of surface", "recent include portals and general quality of surfers", "recent include portals and general quality of surface" ]
reasons include potholes and general quality of surface
reasons include portals and general quality of surfers.
reasons include portals and general quality of service. reasons include portals and general quality of surface. recent include portals and general quality of surfers. recent include portals and general quality of surface.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['reasons include portals and general quality of surfers', 'reasons include portals and general quality of service', 'reasons include portals and general quality of surface', 'recent include portals and general quality of surfers', 'recent include portals and general quality of surface']