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[ "these were seen as being potential triggers for a wider conflict", "these are seen as being potential triggers for a wider conflict", "these were seen as being potential regards for a wider conflict", "these are seen as being potential regards for a wider conflict", "these are seen as being potential regards for a wider conflict" ]
these were seen as being potential triggers for a wider conflict
these were seen as being potential triggers for a wider conflict.
these are seen as being potential triggers for a wider conflict. these were seen as being potential regards for a wider conflict. these are seen as being potential regards for a wider conflict. these are seen as being potential regards for a wider conflict.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these were seen as being potential triggers for a wider conflict', 'these are seen as being potential triggers for a wider conflict', 'these were seen as being potential regards for a wider conflict', 'these are seen as being potential regards for a wider conflict', 'these are seen as being potential regards for a wider conflict']
[ "mussolini is secret police were assigned to stop any anti fascist activity or sentiment", "mussolini is secret beliefs were assigned to stop any anti fascist activity or sentiment", "mussolini secret police were assigned to stop any anti fascist activity or sentiment", "mussolini is secret beliefs were assigned to stop any antifascist activity or sentiment", "mussolini is secret police were assigned to stop any antifascist activity or sentiment" ]
mussolini is secret police were assigned to stop any anti fascist activity or sentiment
mussolini is secret police were assigned to stop any anti fascist activity or sentiment.
mussolini is secret beliefs were assigned to stop any anti fascist activity or sentiment. mussolini secret police were assigned to stop any anti fascist activity or sentiment. mussolini is secret beliefs were assigned to stop any antifascist activity or sentiment. mussolini is secret police were assigned to stop any antifascist activity or sentiment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mussolini is secret police were assigned to stop any anti fascist activity or sentiment', 'mussolini is secret beliefs were assigned to stop any anti fascist activity or sentiment', 'mussolini secret police were assigned to stop any anti fascist activity or sentiment', 'mussolini is secret beliefs were assigned to stop any antifascist activity or sentiment', 'mussolini is secret police were assigned to stop any antifascist activity or sentiment']
[ "the effect was named after german physicist is frederick passion and ernest e a", "the effect was named after german physicist is frederick passion and ernst e a", "the effect was named after german physicist is frederick passion and ernest e a", "the effect was named after german physicist is frederick passion and ernest ea", "the effect was named after german physicist is frederick passion and ernst e a" ]
the effect was named after the german physicists friedrich paschen and ernst e a
the effect was named after german physicist is frederick passion and ernest e a.
the effect was named after german physicist is frederick passion and ernst e a. the effect was named after german physicist is frederick passion and ernest e a. the effect was named after german physicist is frederick passion and ernest ea. the effect was named after german physicist is frederick passion and ernst e a.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the effect was named after german physicist is frederick passion and ernest e a', 'the effect was named after german physicist is frederick passion and ernst e a', 'the effect was named after german physicist is frederick passion and ernest e a', 'the effect was named after german physicist is frederick passion and ernest ea', 'the effect was named after german physicist is frederick passion and ernst e a']
[ "it was also previously held by the latin patriarch of alexandria", "it was also previously held by the latin patriarch of alexandria", "it was also previously held by the latin patriarch of alexandria", "it was also previously held by the latin patriarch of alexandria", "it was also previously held by the latin patriarch of alexandria" ]
it was also previously held by the latin patriarch of alexandria
it was also previously held by the latin patriarch of alexandria.
it was also previously held by the latin patriarch of alexandria. it was also previously held by the latin patriarch of alexandria. it was also previously held by the latin patriarch of alexandria. it was also previously held by the latin patriarch of alexandria.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was also previously held by the latin patriarch of alexandria', 'it was also previously held by the latin patriarch of alexandria', 'it was also previously held by the latin patriarch of alexandria', 'it was also previously held by the latin patriarch of alexandria', 'it was also previously held by the latin patriarch of alexandria']
[ "it was popularized by frank sinatra", "it was popularized by frank sinatra", "it was popularized by frank sinatra", "it was popularized by frank sinatra", "it was popularized by frank sinatra" ]
it was popularized by frank sinatra
it was popularized by frank sinatra.
it was popularized by frank sinatra. it was popularized by frank sinatra. it was popularized by frank sinatra. it was popularized by frank sinatra.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was popularized by frank sinatra', 'it was popularized by frank sinatra', 'it was popularized by frank sinatra', 'it was popularized by frank sinatra', 'it was popularized by frank sinatra']
[ "he finds the inner deep coma and wakes her with cold water", "he finds her in a deep coma and wakes her with cold water", "he finds the inner deep coma and wakes her with cold water", "he finds her in a date coma and wakes her with cold water", "he finds the inner date coma and wakes her with cold water" ]
he finds her in a deep coma and wakes her with cold water
he finds the inner deep coma and wakes her with cold water.
he finds her in a deep coma and wakes her with cold water. he finds the inner deep coma and wakes her with cold water. he finds her in a date coma and wakes her with cold water. he finds the inner date coma and wakes her with cold water.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he finds the inner deep coma and wakes her with cold water', 'he finds her in a deep coma and wakes her with cold water', 'he finds the inner deep coma and wakes her with cold water', 'he finds her in a date coma and wakes her with cold water', 'he finds the inner date coma and wakes her with cold water']
[ "people gathered together watching something", "people gathered together watching something", "people gathered together watching something", "people gathered together watching something", "people gathered together watching something" ]
people are gathered together watching something
people gathered together watching something.
people gathered together watching something. people gathered together watching something. people gathered together watching something. people gathered together watching something.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['people gathered together watching something', 'people gathered together watching something', 'people gathered together watching something', 'people gathered together watching something', 'people gathered together watching something']
[ "beresky situations include drinking and driving or having unsafe sacks among others", "beresky is situations include drinking and driving or having unsafe acts among others", "beresky is situations include drinking and driving or having unsafe sacks among others", "beresky situations include drinking and driving or having unsafe sacks among others", "beresky is situations include drinking and driving or having unsafe sex among others" ]
risky situations include drinking and driving or having unsafe sex among others
beresky situations include drinking and driving or having unsafe sacks among others.
beresky is situations include drinking and driving or having unsafe acts among others. beresky is situations include drinking and driving or having unsafe sacks among others. beresky situations include drinking and driving or having unsafe sacks among others. beresky is situations include drinking and driving or having unsafe sex among others.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['beresky situations include drinking and driving or having unsafe sacks among others', 'beresky is situations include drinking and driving or having unsafe acts among others', 'beresky is situations include drinking and driving or having unsafe sacks among others', 'beresky situations include drinking and driving or having unsafe sacks among others', 'beresky is situations include drinking and driving or having unsafe sex among others']
[ "beat reporters must however be cautious of becoming too close to their sources", "be it reporters must however be cautious of becoming too close to their sources", "beat reporters must however be cautious of becoming too close to their sources", "be it reporters must however be cautious of becoming too close to their sources", "be it reporters must however be cautious of becoming too close to their sources" ]
beat reporters must however be cautious of becoming too close to their sources
beat reporters must however be cautious of becoming too close to their sources.
be it reporters must however be cautious of becoming too close to their sources. beat reporters must however be cautious of becoming too close to their sources. be it reporters must however be cautious of becoming too close to their sources. be it reporters must however be cautious of becoming too close to their sources.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['beat reporters must however be cautious of becoming too close to their sources', 'be it reporters must however be cautious of becoming too close to their sources', 'beat reporters must however be cautious of becoming too close to their sources', 'be it reporters must however be cautious of becoming too close to their sources', 'be it reporters must however be cautious of becoming too close to their sources']
[ "ben wallace of the detroit pistons is the cover athlete", "ben wallace of the detroit piston is the cover athlete", "ben wallace of the detroit pistons is the cover athlete", "ben wallace of the detroit pistons is the cover athlete", "ben wallace of the detroit piston is the cover athlete" ]
ben wallace of the detroit pistons is the cover athlete
ben wallace of the detroit pistons is the cover athlete.
ben wallace of the detroit piston is the cover athlete. ben wallace of the detroit pistons is the cover athlete. ben wallace of the detroit pistons is the cover athlete. ben wallace of the detroit piston is the cover athlete.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ben wallace of the detroit pistons is the cover athlete', 'ben wallace of the detroit piston is the cover athlete', 'ben wallace of the detroit pistons is the cover athlete', 'ben wallace of the detroit pistons is the cover athlete', 'ben wallace of the detroit piston is the cover athlete']
[ "they are similar to their predecessors and are built of locality local strength", "they are similar to their predecessors and are built of locality local strength", "they are similar than their predecessors and are built of locality local strength", "they are similar to their predecessors and are built of low quality local strength", "they are similar to their predecessors and are built of low quality local strength" ]
they are smaller than their predecessors and are built of low quality local stone
they are similar to their predecessors and are built of locality local strength.
they are similar to their predecessors and are built of locality local strength. they are similar than their predecessors and are built of locality local strength. they are similar to their predecessors and are built of low quality local strength. they are similar to their predecessors and are built of low quality local strength.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they are similar to their predecessors and are built of locality local strength', 'they are similar to their predecessors and are built of locality local strength', 'they are similar than their predecessors and are built of locality local strength', 'they are similar to their predecessors and are built of low quality local strength', 'they are similar to their predecessors and are built of low quality local strength']
[ "the originals are holograph brush written poems", "the originals are holograph brushwritten poems", "the originals are holograph brushwritten poems", "the originals are holograph brush written poems", "the originals are holograph brush written poems" ]
the originals are holograph brush written poems
the originals are holograph brush written poems.
the originals are holograph brushwritten poems. the originals are holograph brushwritten poems. the originals are holograph brush written poems. the originals are holograph brush written poems.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the originals are holograph brush written poems', 'the originals are holograph brushwritten poems', 'the originals are holograph brushwritten poems', 'the originals are holograph brush written poems', 'the originals are holograph brush written poems']
[ "all islamic azad university campuses are governed by the regents of the university", "all islamic azad university campuses are governed by the regents of the university", "all islamic azad university campuses are governed by the regents of the university", "all islamic azad university campuses are governed by the regions of the university", "all islamic azad university campuses are governed by the regents of the university" ]
all islamic azad university campuses are governed by the regents of the university
all islamic azad university campuses are governed by the regents of the university.
all islamic azad university campuses are governed by the regents of the university. all islamic azad university campuses are governed by the regents of the university. all islamic azad university campuses are governed by the regions of the university. all islamic azad university campuses are governed by the regents of the university.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all islamic azad university campuses are governed by the regents of the university', 'all islamic azad university campuses are governed by the regents of the university', 'all islamic azad university campuses are governed by the regents of the university', 'all islamic azad university campuses are governed by the regions of the university', 'all islamic azad university campuses are governed by the regents of the university']
[ "the next material is collected by the male while the female builds the nest", "the next material is collected by the mail while the female builds the nest", "the next material is collected by the male while the female builds the nest", "the nest material is collected by the male while the female builds the nest", "the next material is collected by the male while the female builds the nest" ]
the nest material is collected by the male while the female builds the nest
the next material is collected by the male while the female builds the nest.
the next material is collected by the mail while the female builds the nest. the next material is collected by the male while the female builds the nest. the nest material is collected by the male while the female builds the nest. the next material is collected by the male while the female builds the nest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next material is collected by the male while the female builds the nest', 'the next material is collected by the mail while the female builds the nest', 'the next material is collected by the male while the female builds the nest', 'the nest material is collected by the male while the female builds the nest', 'the next material is collected by the male while the female builds the nest']
[ "i was tired said bunga tired from those five set matches earlier", "i was tired said bunga tired from those five set matches earlier", "i was tired said bungert tired from those five set matches earlier", "i was tired said bunga tired from those fireset matches earlier", "i was tired said bunga tired from those five set matches earlier" ]
i was tired said bungert tired from those five set matches earlier
i was tired said bunga tired from those five set matches earlier.
i was tired said bunga tired from those five set matches earlier. i was tired said bungert tired from those five set matches earlier. i was tired said bunga tired from those fireset matches earlier. i was tired said bunga tired from those five set matches earlier.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i was tired said bunga tired from those five set matches earlier', 'i was tired said bunga tired from those five set matches earlier', 'i was tired said bungert tired from those five set matches earlier', 'i was tired said bunga tired from those fireset matches earlier', 'i was tired said bunga tired from those five set matches earlier']
[ "guida remains there today", "guidah remains there today", "guida remains there today", "guida remains there today", "guidah remains there today" ]
guida remains there today
guida remains there today.
guidah remains there today. guida remains there today. guida remains there today. guidah remains there today.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['guida remains there today', 'guidah remains there today', 'guida remains there today', 'guida remains there today', 'guidah remains there today']
[ "the building has large murals painted by william b", "the building has large mirrors painted by william b", "the building has large murals painted by william b", "the building has large murals painted by william b", "the building has large murals painted by william b" ]
the building has large murals painted by william b
the building has large murals painted by william b.
the building has large mirrors painted by william b. the building has large murals painted by william b. the building has large murals painted by william b. the building has large murals painted by william b.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the building has large murals painted by william b', 'the building has large mirrors painted by william b', 'the building has large murals painted by william b', 'the building has large murals painted by william b', 'the building has large murals painted by william b']
[ "transnistria has a multi party system", "transnustria has a multi party system", "transnistria has a multiparty system", "transnustrier has a multi party system", "transnustriya has a multi party system" ]
transnistria has a multi party system
transnistria has a multi party system.
transnustria has a multi party system. transnistria has a multiparty system. transnustrier has a multi party system. transnustriya has a multi party system.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['transnistria has a multi party system', 'transnustria has a multi party system', 'transnistria has a multiparty system', 'transnustrier has a multi party system', 'transnustriya has a multi party system']
[ "it has no major industry as most residents work in winnipeg or nearby communities", "it has no major industry as most residents work in winnipeg or nearby communities", "it has no major industry as most residents work in winnipeg or nearby communities", "it has a no major industry as most residents work in winnipeg or nearby communities", "it has no major industry as most residents work in winnipeg or nearby communities" ]
it has no major industry as most residents work in winnipeg or nearby communities
it has no major industry as most residents work in winnipeg or nearby communities.
it has no major industry as most residents work in winnipeg or nearby communities. it has no major industry as most residents work in winnipeg or nearby communities. it has a no major industry as most residents work in winnipeg or nearby communities. it has no major industry as most residents work in winnipeg or nearby communities.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it has no major industry as most residents work in winnipeg or nearby communities', 'it has no major industry as most residents work in winnipeg or nearby communities', 'it has no major industry as most residents work in winnipeg or nearby communities', 'it has a no major industry as most residents work in winnipeg or nearby communities', 'it has no major industry as most residents work in winnipeg or nearby communities']
[ "the press box is located at the top of the west grandstand", "the press box is located at the top of the west grandstand", "the press box is located at the top of the west grand stand", "the press box is located at the top of the west grandstand", "the press box is located at the top of the west grandstand" ]
the press box is located at the top of the west grandstand
the press box is located at the top of the west grandstand.
the press box is located at the top of the west grandstand. the press box is located at the top of the west grand stand. the press box is located at the top of the west grandstand. the press box is located at the top of the west grandstand.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the press box is located at the top of the west grandstand', 'the press box is located at the top of the west grandstand', 'the press box is located at the top of the west grand stand', 'the press box is located at the top of the west grandstand', 'the press box is located at the top of the west grandstand']
[ "the company has announced the production of a speedboat called the lamborghini glamma", "the company has announced the production of a speedbird called the lamborghini glamma", "the company has announced the production of a speedboat called the lamborghini glamma", "the company has announced the production of a speed bird called the lamborghini glamma", "the company has announced the production of a speedburt called the lamborghini glamma" ]
the company has announced the production of a speedboat called the lamborghini glamour
the company has announced the production of a speedboat called the lamborghini glamma.
the company has announced the production of a speedbird called the lamborghini glamma. the company has announced the production of a speedboat called the lamborghini glamma. the company has announced the production of a speed bird called the lamborghini glamma. the company has announced the production of a speedburt called the lamborghini glamma.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company has announced the production of a speedboat called the lamborghini glamma', 'the company has announced the production of a speedbird called the lamborghini glamma', 'the company has announced the production of a speedboat called the lamborghini glamma', 'the company has announced the production of a speed bird called the lamborghini glamma', 'the company has announced the production of a speedburt called the lamborghini glamma']
[ "tuxies are very common and relatively accessible price wise", "tuxies are very common and relatively accessible price wise", "tuxes are very common and relatively accessible price wise", "tuxes are very common and relatively accessible price wise", "taxis are very common and relatively accessible price wise" ]
taxis are very common and relatively accessible price wise
tuxies are very common and relatively accessible price wise.
tuxies are very common and relatively accessible price wise. tuxes are very common and relatively accessible price wise. tuxes are very common and relatively accessible price wise. taxis are very common and relatively accessible price wise.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tuxies are very common and relatively accessible price wise', 'tuxies are very common and relatively accessible price wise', 'tuxes are very common and relatively accessible price wise', 'tuxes are very common and relatively accessible price wise', 'taxis are very common and relatively accessible price wise']
[ "she is very good at english and back stroking", "she is very good at english and backstriking", "she is very good at english and backstroke", "she is very good at english and back stroking", "she is very good at english and back stroking" ]
she is very good at english and backstroking
she is very good at english and back stroking.
she is very good at english and backstriking. she is very good at english and backstroke. she is very good at english and back stroking. she is very good at english and back stroking.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is very good at english and back stroking', 'she is very good at english and backstriking', 'she is very good at english and backstroke', 'she is very good at english and back stroking', 'she is very good at english and back stroking']
[ "the racers often but not always started with an opening for a log on sunday", "the racers often but not always start with an opening for a log on sunday", "the races often but not always started with an opening for a log on sunday", "the racers often but not always started with an opening per log on sunday", "the races often but not always start with an opening for a log on sunday" ]
the race has often but not always started with an opening prolog on sunday
the racers often but not always started with an opening for a log on sunday.
the racers often but not always start with an opening for a log on sunday. the races often but not always started with an opening for a log on sunday. the racers often but not always started with an opening per log on sunday. the races often but not always start with an opening for a log on sunday.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the racers often but not always started with an opening for a log on sunday', 'the racers often but not always start with an opening for a log on sunday', 'the races often but not always started with an opening for a log on sunday', 'the racers often but not always started with an opening per log on sunday', 'the races often but not always start with an opening for a log on sunday']
[ "tambu was breed in benoni johannesburg", "tembo was breed in benoni johannesburg", "tambu was breed in benone johannesburg", "tembu was breed in benoni johannesburg", "tambu was breed in bannoni johannesburg" ]
tambo was buried in benoni johannesburg
tambu was breed in benoni johannesburg.
tembo was breed in benoni johannesburg. tambu was breed in benone johannesburg. tembu was breed in benoni johannesburg. tambu was breed in bannoni johannesburg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['tambu was breed in benoni johannesburg', 'tembo was breed in benoni johannesburg', 'tambu was breed in benone johannesburg', 'tembu was breed in benoni johannesburg', 'tambu was breed in bannoni johannesburg']
[ "their function is supposed to be that of markers for underground burial chambers", "their function is supposed to be that of markers for underground burial chambers", "their function is supposed to be that of markers for under ground burial chambers", "their function is supposed to be that of markers for underground burial chambers", "their function is supposed to be that of markers for under ground burial chambers" ]
their function is supposed to be that of markers for underground burial chambers
their function is supposed to be that of markers for underground burial chambers.
their function is supposed to be that of markers for underground burial chambers. their function is supposed to be that of markers for under ground burial chambers. their function is supposed to be that of markers for underground burial chambers. their function is supposed to be that of markers for under ground burial chambers.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their function is supposed to be that of markers for underground burial chambers', 'their function is supposed to be that of markers for underground burial chambers', 'their function is supposed to be that of markers for under ground burial chambers', 'their function is supposed to be that of markers for underground burial chambers', 'their function is supposed to be that of markers for under ground burial chambers']
[ "contain that with her watcher she grabs all her champions t a rampires", "contain that with her watcher she grabs all her champions t a rampers", "contain that with her watcher she grabs all our champions t a rampires", "contain that with her watcher she grab us all our champions t a rampires", "got in there with her watcher she grabs all her champions t a rampires" ]
together with her watcher she traveled all over japan slaying vampires
contain that with her watcher she grabs all her champions t a rampires.
contain that with her watcher she grabs all her champions t a rampers. contain that with her watcher she grabs all our champions t a rampires. contain that with her watcher she grab us all our champions t a rampires. got in there with her watcher she grabs all her champions t a rampires.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['contain that with her watcher she grabs all her champions t a rampires', 'contain that with her watcher she grabs all her champions t a rampers', 'contain that with her watcher she grabs all our champions t a rampires', 'contain that with her watcher she grab us all our champions t a rampires', 'got in there with her watcher she grabs all her champions t a rampires']
[ "manette also supports kettle island as the new location of the interpreventual bridge", "manette also supports kettle island as the new location of the interpreventual bridge", "menette also supports kettle island as the new location of the interpreventual bridge", "manette also supports kettle island as the new location of the inter preventual bridge", "menette also supports kettle island as the new location of the interpreventual bridge" ]
monette also supports kettle island as the new location of the interprovincial bridge
manette also supports kettle island as the new location of the interpreventual bridge.
manette also supports kettle island as the new location of the interpreventual bridge. menette also supports kettle island as the new location of the interpreventual bridge. manette also supports kettle island as the new location of the inter preventual bridge. menette also supports kettle island as the new location of the interpreventual bridge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['manette also supports kettle island as the new location of the interpreventual bridge', 'manette also supports kettle island as the new location of the interpreventual bridge', 'menette also supports kettle island as the new location of the interpreventual bridge', 'manette also supports kettle island as the new location of the inter preventual bridge', 'menette also supports kettle island as the new location of the interpreventual bridge']
[ "this angular displacement is known as drift angle", "this singular displacement is known as drift angle", "this tumbler displacement is known as drift angle", "this angular displacement is known as drift angle", "this singular displacement is known as drift angle" ]
this angular displacement is known as drift angle
this angular displacement is known as drift angle.
this singular displacement is known as drift angle. this tumbler displacement is known as drift angle. this angular displacement is known as drift angle. this singular displacement is known as drift angle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this angular displacement is known as drift angle', 'this singular displacement is known as drift angle', 'this tumbler displacement is known as drift angle', 'this angular displacement is known as drift angle', 'this singular displacement is known as drift angle']
[ "lend you a handkerchief", "lend you the handkerchief", "lend you the handkerchief", "thank you very much for watching", "thank you very much" ]
lend you a handkerchief
lend you a handkerchief.
lend you the handkerchief. lend you the handkerchief. thank you very much for watching. thank you very much.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lend you a handkerchief', 'lend you the handkerchief', 'lend you the handkerchief', 'thank you very much for watching', 'thank you very much']
[ "the internal feud was especially violent as they fought over the five points area", "the internal feud was especially violent as they fought over the five points area", "the internal feud was specially violent as they fought over the five points area", "the internal feud was specially violent as they fought over the five points area", "the internal feud was especially violent as they fought over the five points area" ]
the internal feud was especially violent as they fought over the five points area
the internal feud was especially violent as they fought over the five points area.
the internal feud was especially violent as they fought over the five points area. the internal feud was specially violent as they fought over the five points area. the internal feud was specially violent as they fought over the five points area. the internal feud was especially violent as they fought over the five points area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the internal feud was especially violent as they fought over the five points area', 'the internal feud was especially violent as they fought over the five points area', 'the internal feud was specially violent as they fought over the five points area', 'the internal feud was specially violent as they fought over the five points area', 'the internal feud was especially violent as they fought over the five points area']
[ "all seats were single member except for andrew down and firmannag and tyrone", "all seats were single member except for andrew down and firmanag and tyrone", "all seats were single member except for andrew down and firmannag and tyrone", "all seats were single member except for andrew down and firmannag and tyrone", "all seats were single member except for andrew down and furmanag and tyrone" ]
all seats were single member except for antrim down and fermanagh tyrone
all seats were single member except for andrew down and firmannag and tyrone.
all seats were single member except for andrew down and firmanag and tyrone. all seats were single member except for andrew down and firmannag and tyrone. all seats were single member except for andrew down and firmannag and tyrone. all seats were single member except for andrew down and furmanag and tyrone.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all seats were single member except for andrew down and firmannag and tyrone', 'all seats were single member except for andrew down and firmanag and tyrone', 'all seats were single member except for andrew down and firmannag and tyrone', 'all seats were single member except for andrew down and firmannag and tyrone', 'all seats were single member except for andrew down and furmanag and tyrone']
[ "in football he was a second team all confirmed selection as a sopomo", "in football he was a second team all confirmed selection as a sopomo", "in football he was a second team all confirmed selection as a supomo", "in football he was a second team all confirmed selection as a supomo", "in football he was a second team or confirmed selection as a sopomo" ]
in football he was a second team all conference selection as a sophomore
in football he was a second team all confirmed selection as a sopomo.
in football he was a second team all confirmed selection as a sopomo. in football he was a second team all confirmed selection as a supomo. in football he was a second team all confirmed selection as a supomo. in football he was a second team or confirmed selection as a sopomo.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in football he was a second team all confirmed selection as a sopomo', 'in football he was a second team all confirmed selection as a sopomo', 'in football he was a second team all confirmed selection as a supomo', 'in football he was a second team all confirmed selection as a supomo', 'in football he was a second team or confirmed selection as a sopomo']
[ "musa also experienced a new and empowered woman with social freedoms", "moussa also experienced a new and empowered woman with social freedoms", "moosa also experienced a new and empowered woman with social freedoms", "moosa also experienced a new and empowered woman with social freedoms", "moosa also experienced a new and empowered woman with social freedoms" ]
musa also experienced a new and empowered woman with social freedoms
musa also experienced a new and empowered woman with social freedoms.
moussa also experienced a new and empowered woman with social freedoms. moosa also experienced a new and empowered woman with social freedoms. moosa also experienced a new and empowered woman with social freedoms. moosa also experienced a new and empowered woman with social freedoms.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['musa also experienced a new and empowered woman with social freedoms', 'moussa also experienced a new and empowered woman with social freedoms', 'moosa also experienced a new and empowered woman with social freedoms', 'moosa also experienced a new and empowered woman with social freedoms', 'moosa also experienced a new and empowered woman with social freedoms']
[ "a very common type of spectral sequence comes from a filtered co chain complex", "a very common type of spectral sequence comes from a filtered co chain complex", "a very common type of spectral sequence comes from a filtered cochain complex", "a very common type of spectral sequence comes from a filtered cochaine complex", "a very common type of spectral sequence comes from a filtered cocaine complex" ]
a very common type of spectral sequence comes from a filtered cochain complex
a very common type of spectral sequence comes from a filtered co chain complex.
a very common type of spectral sequence comes from a filtered co chain complex. a very common type of spectral sequence comes from a filtered cochain complex. a very common type of spectral sequence comes from a filtered cochaine complex. a very common type of spectral sequence comes from a filtered cocaine complex.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a very common type of spectral sequence comes from a filtered co chain complex', 'a very common type of spectral sequence comes from a filtered co chain complex', 'a very common type of spectral sequence comes from a filtered cochain complex', 'a very common type of spectral sequence comes from a filtered cochaine complex', 'a very common type of spectral sequence comes from a filtered cocaine complex']
[ "fort belan formerly housed a maritime museum and a pottery", "fort belan formerly housed a maritime museum and a pottery", "fort belan formerly housed a maritime museum and a pottery", "fort belan formally housed a maritime museum and a pottery", "fort belan formally housed a maritime museum and a pottery" ]
fort belan formerly housed a maritime museum and a pottery
fort belan formerly housed a maritime museum and a pottery.
fort belan formerly housed a maritime museum and a pottery. fort belan formerly housed a maritime museum and a pottery. fort belan formally housed a maritime museum and a pottery. fort belan formally housed a maritime museum and a pottery.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fort belan formerly housed a maritime museum and a pottery', 'fort belan formerly housed a maritime museum and a pottery', 'fort belan formerly housed a maritime museum and a pottery', 'fort belan formally housed a maritime museum and a pottery', 'fort belan formally housed a maritime museum and a pottery']
[ "pewitt is nest is located in sork county", "pewitt is nest is located in sork county", "pewitt is nest is located in sork county", "pewitt is nest is located in sork county", "pewitt is nest is located in sork county" ]
pewits nest is located in sauk county
pewitt is nest is located in sork county.
pewitt is nest is located in sork county. pewitt is nest is located in sork county. pewitt is nest is located in sork county. pewitt is nest is located in sork county.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pewitt is nest is located in sork county', 'pewitt is nest is located in sork county', 'pewitt is nest is located in sork county', 'pewitt is nest is located in sork county', 'pewitt is nest is located in sork county']
[ "the suburb falls within the more town ward of leeds metropolitan council", "the suburb falls within the morhtown ward of leeds metropolitan council", "the suburb falls within the moretown ward of leeds metropolitan council", "the suburb falls within the murtown ward of leeds metropolitan council", "the suburb falls within the morhtown ward of leeds metropolitan council" ]
the suburb falls within the moortown ward of leeds metropolitan council
the suburb falls within the more town ward of leeds metropolitan council.
the suburb falls within the morhtown ward of leeds metropolitan council. the suburb falls within the moretown ward of leeds metropolitan council. the suburb falls within the murtown ward of leeds metropolitan council. the suburb falls within the morhtown ward of leeds metropolitan council.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the suburb falls within the more town ward of leeds metropolitan council', 'the suburb falls within the morhtown ward of leeds metropolitan council', 'the suburb falls within the moretown ward of leeds metropolitan council', 'the suburb falls within the murtown ward of leeds metropolitan council', 'the suburb falls within the morhtown ward of leeds metropolitan council']
[ "as well as a producer william also worked as a studio manager", "as well as a producer william also worked as a studio manager", "as well as a producer william also worked as a studio manager", "as well as a producer william also worked as a studio manager", "as well as a producer william also worked as a studio manager" ]
as well as a producer william also worked as a studio manager
as well as a producer william also worked as a studio manager.
as well as a producer william also worked as a studio manager. as well as a producer william also worked as a studio manager. as well as a producer william also worked as a studio manager. as well as a producer william also worked as a studio manager.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as well as a producer william also worked as a studio manager', 'as well as a producer william also worked as a studio manager', 'as well as a producer william also worked as a studio manager', 'as well as a producer william also worked as a studio manager', 'as well as a producer william also worked as a studio manager']
[ "the only way to stop this was to rent a rail is land or buy it", "the only way to stop this was to rent a rails land or buy it", "the only way to stop this was to rent a rails land or buy it", "the only way to stop this was to rent a rails land or buy it", "the only way to stop this was to rent a rails land or buy it" ]
the only way to stop this was to rent orrell is land or buy it
the only way to stop this was to rent a rail is land or buy it.
the only way to stop this was to rent a rails land or buy it. the only way to stop this was to rent a rails land or buy it. the only way to stop this was to rent a rails land or buy it. the only way to stop this was to rent a rails land or buy it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the only way to stop this was to rent a rail is land or buy it', 'the only way to stop this was to rent a rails land or buy it', 'the only way to stop this was to rent a rails land or buy it', 'the only way to stop this was to rent a rails land or buy it', 'the only way to stop this was to rent a rails land or buy it']
[ "he made his discovery while experimenting with molten iron and magnesium", "email is discovered while experimenting with molten iron and magnesium", "e mail is discovered while experimenting with molten iron and magnesium", "e mail is discovered while experimenting with molten iron and magnesium", "e made is discovered while experimenting with molten iron and magnesium" ]
he made his discovery while experimenting with molten iron and magnesium
he made his discovery while experimenting with molten iron and magnesium.
email is discovered while experimenting with molten iron and magnesium. e mail is discovered while experimenting with molten iron and magnesium. e mail is discovered while experimenting with molten iron and magnesium. e made is discovered while experimenting with molten iron and magnesium.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he made his discovery while experimenting with molten iron and magnesium', 'email is discovered while experimenting with molten iron and magnesium', 'e mail is discovered while experimenting with molten iron and magnesium', 'e mail is discovered while experimenting with molten iron and magnesium', 'e made is discovered while experimenting with molten iron and magnesium']
[ "as parasite infections increased the ones plentiful clones dwindled dramatically in number", "as parasite infections increased the one is plentiful clones dwindled dramatically in number", "as parasite infections increased the ones plentiful clones dwindle dramatically in number", "as paraside infections increased the ones plentiful clones dwindled dramatically in number", "as parasite infections increased the ones plentiful clones dwindled dramatically in number" ]
as parasite infections increased the once plentiful clones dwindled dramatically in number
as parasite infections increased the ones plentiful clones dwindled dramatically in number.
as parasite infections increased the one is plentiful clones dwindled dramatically in number. as parasite infections increased the ones plentiful clones dwindle dramatically in number. as paraside infections increased the ones plentiful clones dwindled dramatically in number. as parasite infections increased the ones plentiful clones dwindled dramatically in number.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as parasite infections increased the ones plentiful clones dwindled dramatically in number', 'as parasite infections increased the one is plentiful clones dwindled dramatically in number', 'as parasite infections increased the ones plentiful clones dwindle dramatically in number', 'as paraside infections increased the ones plentiful clones dwindled dramatically in number', 'as parasite infections increased the ones plentiful clones dwindled dramatically in number']
[ "some airports are identified even in colloquial speech by the airport code", "some airports are identified even in a colloquial speech by the airport code", "some airports are identified even in colloquial speech by the airport code", "some airports are identified even in the colloquial speech by the airport code", "some airports are identified even in the call of kill speech by the airport code" ]
some airports are identified even in colloquial speech by their airport code
some airports are identified even in colloquial speech by the airport code.
some airports are identified even in a colloquial speech by the airport code. some airports are identified even in colloquial speech by the airport code. some airports are identified even in the colloquial speech by the airport code. some airports are identified even in the call of kill speech by the airport code.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some airports are identified even in colloquial speech by the airport code', 'some airports are identified even in a colloquial speech by the airport code', 'some airports are identified even in colloquial speech by the airport code', 'some airports are identified even in the colloquial speech by the airport code', 'some airports are identified even in the call of kill speech by the airport code']
[ "the flowers are doing pollinated pumpkins", "the flowers are doing pollinated catkins", "the flowers are doing pollinated tokens", "the flowers are doing pollinated cartoons", "the flowers are doing pollinated cuttings" ]
the flowers are wind pollinated catkins
the flowers are doing pollinated pumpkins.
the flowers are doing pollinated catkins. the flowers are doing pollinated tokens. the flowers are doing pollinated cartoons. the flowers are doing pollinated cuttings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the flowers are doing pollinated pumpkins', 'the flowers are doing pollinated catkins', 'the flowers are doing pollinated tokens', 'the flowers are doing pollinated cartoons', 'the flowers are doing pollinated cuttings']
[ "sesame street was not without its detractors however", "sesame street was not without its attractors however", "sesame street was not without its detractors or ever", "sesame street was not without its detractors or whatever", "sesame street was not without its detractors or ever" ]
sesame street was not without its detractors however
sesame street was not without its detractors however.
sesame street was not without its attractors however. sesame street was not without its detractors or ever. sesame street was not without its detractors or whatever. sesame street was not without its detractors or ever.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sesame street was not without its detractors however', 'sesame street was not without its attractors however', 'sesame street was not without its detractors or ever', 'sesame street was not without its detractors or whatever', 'sesame street was not without its detractors or ever']
[ "however recent seasons have not been as fruitful", "however recent seasons have not been as fruitful", "however recent seasons have not been as fruitful", "however recent seasons have not been as fruitful", "however recent seasons have not been as fruitful" ]
however recent seasons have not been as fruitful
however recent seasons have not been as fruitful.
however recent seasons have not been as fruitful. however recent seasons have not been as fruitful. however recent seasons have not been as fruitful. however recent seasons have not been as fruitful.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however recent seasons have not been as fruitful', 'however recent seasons have not been as fruitful', 'however recent seasons have not been as fruitful', 'however recent seasons have not been as fruitful', 'however recent seasons have not been as fruitful']
[ "benedict and scholastica and another to saint silvestre", "benedict and scholastica and another to saint silvester", "benedict and scholastica and another to saint sylvester", "benedict and scholastica and another to say and still western", "benedict and scholastica and another to say and seal vester" ]
benedict and scholastica and another to saint sylvester
benedict and scholastica and another to saint silvestre.
benedict and scholastica and another to saint silvester. benedict and scholastica and another to saint sylvester. benedict and scholastica and another to say and still western. benedict and scholastica and another to say and seal vester.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['benedict and scholastica and another to saint silvestre', 'benedict and scholastica and another to saint silvester', 'benedict and scholastica and another to saint sylvester', 'benedict and scholastica and another to say and still western', 'benedict and scholastica and another to say and seal vester']
[ "this allows avoidance of immediate and breathing depression", "this allows avoidance of immediate and breeding depression", "this allows avoidance of immediate and breading depression", "this allows avoidance of immediate and breeding depression", "this allows avoidance of immediate and breading depression" ]
this allows avoidance of immediate inbreeding depression
this allows avoidance of immediate and breathing depression.
this allows avoidance of immediate and breeding depression. this allows avoidance of immediate and breading depression. this allows avoidance of immediate and breeding depression. this allows avoidance of immediate and breading depression.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this allows avoidance of immediate and breathing depression', 'this allows avoidance of immediate and breeding depression', 'this allows avoidance of immediate and breading depression', 'this allows avoidance of immediate and breeding depression', 'this allows avoidance of immediate and breading depression']
[ "the company sponsors many events including bombay dying glad rags miss india contest", "the company sponsors many events including bombay dying glad rags missed in the air contest", "the company sponsors many events including bombay dying glad rags missed in the air contest", "the company sponsors many events including bombay dying glad rags missed in the air contest", "the company sponsors many events including bombay dying gladrags miss india contest" ]
the company sponsors many events including bombay dyeing gladrags missus india contest
the company sponsors many events including bombay dying glad rags miss india contest.
the company sponsors many events including bombay dying glad rags missed in the air contest. the company sponsors many events including bombay dying glad rags missed in the air contest. the company sponsors many events including bombay dying glad rags missed in the air contest. the company sponsors many events including bombay dying gladrags miss india contest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the company sponsors many events including bombay dying glad rags miss india contest', 'the company sponsors many events including bombay dying glad rags missed in the air contest', 'the company sponsors many events including bombay dying glad rags missed in the air contest', 'the company sponsors many events including bombay dying glad rags missed in the air contest', 'the company sponsors many events including bombay dying gladrags miss india contest']
[ "nobody ever says anything nice about us", "nobody ever says anything nice about us", "nobody ever says anything nice about us", "nobody ever says anything nice about us", "nobody ever says anything nice about us" ]
nobody ever says anything nice about us
nobody ever says anything nice about us.
nobody ever says anything nice about us. nobody ever says anything nice about us. nobody ever says anything nice about us. nobody ever says anything nice about us.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nobody ever says anything nice about us', 'nobody ever says anything nice about us', 'nobody ever says anything nice about us', 'nobody ever says anything nice about us', 'nobody ever says anything nice about us']
[ "reflections from the other end of the wire could lead to disturbances", "reflections from the other end of the wire would lead to disturbances", "deflections from the other end of the wire could lead to disturbances", "deflections from the other end of the wire could lead to disturbances", "reflections from the other end of the wire could lead to disturbances" ]
reflections from the other end of the wire could lead to disturbances
reflections from the other end of the wire could lead to disturbances.
reflections from the other end of the wire would lead to disturbances. deflections from the other end of the wire could lead to disturbances. deflections from the other end of the wire could lead to disturbances. reflections from the other end of the wire could lead to disturbances.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['reflections from the other end of the wire could lead to disturbances', 'reflections from the other end of the wire would lead to disturbances', 'deflections from the other end of the wire could lead to disturbances', 'deflections from the other end of the wire could lead to disturbances', 'reflections from the other end of the wire could lead to disturbances']
[ "he is oppressed dead with historical themes", "he is oppressed dead with historical teams", "these operas are shared with historical teams", "these operas are dead with historical themes", "his opera is dead with historical themes" ]
his operas dealt with historical themes
he is oppressed dead with historical themes.
he is oppressed dead with historical teams. these operas are shared with historical teams. these operas are dead with historical themes. his opera is dead with historical themes.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is oppressed dead with historical themes', 'he is oppressed dead with historical teams', 'these operas are shared with historical teams', 'these operas are dead with historical themes', 'his opera is dead with historical themes']
[ "at your foundational level god has ordained the family unit", "at your foundational level god has ordered the family unit", "at your foundational level god has ordered the family unit", "at your foundational level god has ordained the family unit", "at your foundational level god has ordering the family unit" ]
at a foundational level god has ordained the family unit
at your foundational level god has ordained the family unit.
at your foundational level god has ordered the family unit. at your foundational level god has ordered the family unit. at your foundational level god has ordained the family unit. at your foundational level god has ordering the family unit.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['at your foundational level god has ordained the family unit', 'at your foundational level god has ordered the family unit', 'at your foundational level god has ordered the family unit', 'at your foundational level god has ordained the family unit', 'at your foundational level god has ordering the family unit']
[ "divered sniffed the air and looked seawalled", "divered snip the air and looked seawalled", "divided sniffed the air and looked seawalled", "divided snip the air and looked seawalled", "divered sniped the air and looked seawalled" ]
dougal sniffed the air and looked seaward
divered sniffed the air and looked seawalled.
divered snip the air and looked seawalled. divided sniffed the air and looked seawalled. divided snip the air and looked seawalled. divered sniped the air and looked seawalled.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['divered sniffed the air and looked seawalled', 'divered snip the air and looked seawalled', 'divided sniffed the air and looked seawalled', 'divided snip the air and looked seawalled', 'divered sniped the air and looked seawalled']
[ "the apprentices giggle and nudge each other", "the apprentices giggle and nudge each other", "the apprentices giggle and nudge each other", "the apprentices giggle and nudge each other", "the apprentices giggle and nudge each other" ]
the apprentices giggle and nudge each other
the apprentices giggle and nudge each other.
the apprentices giggle and nudge each other. the apprentices giggle and nudge each other. the apprentices giggle and nudge each other. the apprentices giggle and nudge each other.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the apprentices giggle and nudge each other', 'the apprentices giggle and nudge each other', 'the apprentices giggle and nudge each other', 'the apprentices giggle and nudge each other', 'the apprentices giggle and nudge each other']
[ "men and women are dressed only in a line cloth which covers their crotch", "addressed only in a line cloth which covers a crotch", "men and women are dressed only in a lion cloth which covers their crotch", "addressed only in a line cloth which covers their crotch", "addressed only in a linecloth which covers a crotch" ]
men and women are dressed only in a loincloth which covers their crotch
men and women are dressed only in a line cloth which covers their crotch.
addressed only in a line cloth which covers a crotch. men and women are dressed only in a lion cloth which covers their crotch. addressed only in a line cloth which covers their crotch. addressed only in a linecloth which covers a crotch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['men and women are dressed only in a line cloth which covers their crotch', 'addressed only in a line cloth which covers a crotch', 'men and women are dressed only in a lion cloth which covers their crotch', 'addressed only in a line cloth which covers their crotch', 'addressed only in a linecloth which covers a crotch']
[ "when templiers remained they merged into one tribe named baramundi", "when templiers remained they merged into one tribe named baramundi", "when templars remained they merged into one tribe named baramundi", "when templiers remained they merged into one tribe named bear mundy", "when templars remained they merged into one tribe named baramundi" ]
when ten players remained they merged into one tribe named barramundi
when templiers remained they merged into one tribe named baramundi.
when templiers remained they merged into one tribe named baramundi. when templars remained they merged into one tribe named baramundi. when templiers remained they merged into one tribe named bear mundy. when templars remained they merged into one tribe named baramundi.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['when templiers remained they merged into one tribe named baramundi', 'when templiers remained they merged into one tribe named baramundi', 'when templars remained they merged into one tribe named baramundi', 'when templiers remained they merged into one tribe named bear mundy', 'when templars remained they merged into one tribe named baramundi']
[ "random house will act as the sales and marketing distributor", "random house will act as the sales of martin distributor", "random house will act as a sales and marketing distributor", "random house will act as the sales and marketing distributor", "random house will act as the sales and marketing distributors" ]
random house will act as the sales and marketing distributor
random house will act as the sales and marketing distributor.
random house will act as the sales of martin distributor. random house will act as a sales and marketing distributor. random house will act as the sales and marketing distributor. random house will act as the sales and marketing distributors.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['random house will act as the sales and marketing distributor', 'random house will act as the sales of martin distributor', 'random house will act as a sales and marketing distributor', 'random house will act as the sales and marketing distributor', 'random house will act as the sales and marketing distributors']
[ "this occupied his energies until he was fifty-seven years old", "this occupied his energies until he was fifty-seven years old", "this occupied his energies until he was fifty-seven years old", "this occupied his energies until he was fifty-seven years old", "this occupied his energies until he was fifty-seven years old" ]
this occupied his energies until he was fifty seven years old
this occupied his energies until he was fifty-seven years old.
this occupied his energies until he was fifty-seven years old. this occupied his energies until he was fifty-seven years old. this occupied his energies until he was fifty-seven years old. this occupied his energies until he was fifty-seven years old.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this occupied his energies until he was fifty-seven years old', 'this occupied his energies until he was fifty-seven years old', 'this occupied his energies until he was fifty-seven years old', 'this occupied his energies until he was fifty-seven years old', 'this occupied his energies until he was fifty-seven years old']
[ "the writing covered central portion of north calgary", "the riding covered central portion of north calgary", "the writing covered central portion of north calgary", "the writing covered central portion of north cal gurry", "the writing covered central portion of north cal geary" ]
the riding covered central portion of north calgary
the writing covered central portion of north calgary.
the riding covered central portion of north calgary. the writing covered central portion of north calgary. the writing covered central portion of north cal gurry. the writing covered central portion of north cal geary.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the writing covered central portion of north calgary', 'the riding covered central portion of north calgary', 'the writing covered central portion of north calgary', 'the writing covered central portion of north cal gurry', 'the writing covered central portion of north cal geary']
[ "the presidents and officers rabbis rotated among the three movements", "the presidents and officers rabbis rotated among the three movements", "the presidents and officers rabbis rotation among the three movements", "the presidents and officers rabbis rotated among the three movements", "the presidents and officers rabbis rotated among the three movements" ]
the presidents and officers rabbis rotated among the three movements
the presidents and officers rabbis rotated among the three movements.
the presidents and officers rabbis rotated among the three movements. the presidents and officers rabbis rotation among the three movements. the presidents and officers rabbis rotated among the three movements. the presidents and officers rabbis rotated among the three movements.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the presidents and officers rabbis rotated among the three movements', 'the presidents and officers rabbis rotated among the three movements', 'the presidents and officers rabbis rotation among the three movements', 'the presidents and officers rabbis rotated among the three movements', 'the presidents and officers rabbis rotated among the three movements']
[ "the lake is approximately by its widest point", "the lake is approximately by at its widest point", "the lake is approximately by its widest point", "the lake is approximately by it is widest point", "the lake is approximately by at its widest point" ]
the lake is approximately by at its widest point
the lake is approximately by its widest point.
the lake is approximately by at its widest point. the lake is approximately by its widest point. the lake is approximately by it is widest point. the lake is approximately by at its widest point.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the lake is approximately by its widest point', 'the lake is approximately by at its widest point', 'the lake is approximately by its widest point', 'the lake is approximately by it is widest point', 'the lake is approximately by at its widest point']
[ "like bounds is a woman prepared only breakfast", "like bounds the women prepared only breakfast", "like bounds is a women prepared only breakfast", "like bounds the woman prepared only breakfast", "like bounds the women prepared only breakfast" ]
like bounds the woman prepared only breakfast
like bounds is a woman prepared only breakfast.
like bounds the women prepared only breakfast. like bounds is a women prepared only breakfast. like bounds the woman prepared only breakfast. like bounds the women prepared only breakfast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like bounds is a woman prepared only breakfast', 'like bounds the women prepared only breakfast', 'like bounds is a women prepared only breakfast', 'like bounds the woman prepared only breakfast', 'like bounds the women prepared only breakfast']
[ "today i am in prince of lupis you know that is my castle", "today i am in prince of lepise you know that is my castle", "today i am in prince of lupis you know that is my castle", "today i am in prince of lepese you know that is my castle", "today i am in prince of lepis you know that is my castle" ]
today armin prince of lippe is the owner of detmold castle
today i am in prince of lupis you know that is my castle.
today i am in prince of lepise you know that is my castle. today i am in prince of lupis you know that is my castle. today i am in prince of lepese you know that is my castle. today i am in prince of lepis you know that is my castle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today i am in prince of lupis you know that is my castle', 'today i am in prince of lepise you know that is my castle', 'today i am in prince of lupis you know that is my castle', 'today i am in prince of lepese you know that is my castle', 'today i am in prince of lepis you know that is my castle']
[ "rental car agencies are located in the terminal", "rental car agencies are located in the terminal", "rental car agencies are located in the terminal", "rental car agencies are located in the terminal", "rental car agencies are located in the terminal" ]
rental car agencies are located in the terminal
rental car agencies are located in the terminal.
rental car agencies are located in the terminal. rental car agencies are located in the terminal. rental car agencies are located in the terminal. rental car agencies are located in the terminal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['rental car agencies are located in the terminal', 'rental car agencies are located in the terminal', 'rental car agencies are located in the terminal', 'rental car agencies are located in the terminal', 'rental car agencies are located in the terminal']
[ "four weeks later they formed bauhaus and recorded bella lugosi is death", "for weeks later they formed bauhaus and recorded bella lugosi is death", "for weeks later they formed bau house and recorded bella lugosi is debt", "for weeks later they formed bauhaus and recorded bella lugosi is debt", "four weeks later they formed bauhaus and recorded bela lugosi is death" ]
four weeks later they formed bauhaus and recorded bela lugosi is dead
four weeks later they formed bauhaus and recorded bella lugosi is death.
for weeks later they formed bauhaus and recorded bella lugosi is death. for weeks later they formed bau house and recorded bella lugosi is debt. for weeks later they formed bauhaus and recorded bella lugosi is debt. four weeks later they formed bauhaus and recorded bela lugosi is death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['four weeks later they formed bauhaus and recorded bella lugosi is death', 'for weeks later they formed bauhaus and recorded bella lugosi is death', 'for weeks later they formed bau house and recorded bella lugosi is debt', 'for weeks later they formed bauhaus and recorded bella lugosi is debt', 'four weeks later they formed bauhaus and recorded bela lugosi is death']
[ "beams artillery was too enthusiastic and used up their munitions quickly", "bems artillery was too enthusiastic and used up their munitions quickly", "bim is artillery was too enthusiastic and used up their munitions quickly", "bems artillery was too enthusiastic and used up their munitions quickly", "bims artillery was too enthusiastic and used up their munitions quickly" ]
bem is artillery was too enthusiastic and used up their munitions quickly
beams artillery was too enthusiastic and used up their munitions quickly.
bems artillery was too enthusiastic and used up their munitions quickly. bim is artillery was too enthusiastic and used up their munitions quickly. bems artillery was too enthusiastic and used up their munitions quickly. bims artillery was too enthusiastic and used up their munitions quickly.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['beams artillery was too enthusiastic and used up their munitions quickly', 'bems artillery was too enthusiastic and used up their munitions quickly', 'bim is artillery was too enthusiastic and used up their munitions quickly', 'bems artillery was too enthusiastic and used up their munitions quickly', 'bims artillery was too enthusiastic and used up their munitions quickly']
[ "actual mathematical models should use precise data of appropriate matching periods of study", "actual mathematical models should use precise data of appropriate matching periods of study", "actual mathematical models should use precise data of appropriate matching periods of study", "actual mathematical models should use precise data of appropriate matching periods of study", "actual mathematical models should use precise data of appropriate matching periods of study" ]
actual mathematical models should use precise data of appropriate matching periods of study
actual mathematical models should use precise data of appropriate matching periods of study.
actual mathematical models should use precise data of appropriate matching periods of study. actual mathematical models should use precise data of appropriate matching periods of study. actual mathematical models should use precise data of appropriate matching periods of study. actual mathematical models should use precise data of appropriate matching periods of study.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['actual mathematical models should use precise data of appropriate matching periods of study', 'actual mathematical models should use precise data of appropriate matching periods of study', 'actual mathematical models should use precise data of appropriate matching periods of study', 'actual mathematical models should use precise data of appropriate matching periods of study', 'actual mathematical models should use precise data of appropriate matching periods of study']
[ "their home ground is school road", "their home ground is school road", "their homeground is school road", "their home ground is school road", "their home ground is school road" ]
their home ground is school road
their home ground is school road.
their home ground is school road. their homeground is school road. their home ground is school road. their home ground is school road.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their home ground is school road', 'their home ground is school road', 'their homeground is school road', 'their home ground is school road', 'their home ground is school road']
[ "the first event to play is in toronto", "the first event to apply is in toronto", "the first event to plies in toronto", "the first event to plie is in toronto", "the first event to play is in toronto" ]
the first event took place in toronto
the first event to play is in toronto.
the first event to apply is in toronto. the first event to plies in toronto. the first event to plie is in toronto. the first event to play is in toronto.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the first event to play is in toronto', 'the first event to apply is in toronto', 'the first event to plies in toronto', 'the first event to plie is in toronto', 'the first event to play is in toronto']
[ "fort winds urban working class tribe den industrial and railroad related jobs", "fort winds urban working class tribe then industrial and railroad related jobs", "fort winds urban working class thrived in industrial and railroad related jobs", "fort winds urban working class tribe den industrial and railroad related jobs", "fort winds urban working class tribe then industrial and railroad related jobs" ]
fort wayne is urban working class thrived in industrial and railroad related jobs
fort winds urban working class tribe den industrial and railroad related jobs.
fort winds urban working class tribe then industrial and railroad related jobs. fort winds urban working class thrived in industrial and railroad related jobs. fort winds urban working class tribe den industrial and railroad related jobs. fort winds urban working class tribe then industrial and railroad related jobs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fort winds urban working class tribe den industrial and railroad related jobs', 'fort winds urban working class tribe then industrial and railroad related jobs', 'fort winds urban working class thrived in industrial and railroad related jobs', 'fort winds urban working class tribe den industrial and railroad related jobs', 'fort winds urban working class tribe then industrial and railroad related jobs']
[ "both have been aired as tributes after clerks and owens death", "both have been aired as tributes after clerks and owens deaths", "both have been aedas tributes after clerks and owens death", "both have been aired as tributes after clerks and owen is death", "both have been aidas tributes after clerks and owens death" ]
both have been aired as tributes after clark is and owens deaths
both have been aired as tributes after clerks and owens death.
both have been aired as tributes after clerks and owens deaths. both have been aedas tributes after clerks and owens death. both have been aired as tributes after clerks and owen is death. both have been aidas tributes after clerks and owens death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both have been aired as tributes after clerks and owens death', 'both have been aired as tributes after clerks and owens deaths', 'both have been aedas tributes after clerks and owens death', 'both have been aired as tributes after clerks and owen is death', 'both have been aidas tributes after clerks and owens death']
[ "my man parok had given the alarm and heard the milkman arrested", "my man parok had given the alarm and heard the milkman arrested", "my man padok had given the alarm and heard the milkman arrested", "my man paddock had given the alarm and heard the milkman arrested", "my man padok had given the alarm and heard the milkman arrested" ]
my man paddock had given the alarm and had the milkman arrested
my man parok had given the alarm and heard the milkman arrested.
my man parok had given the alarm and heard the milkman arrested. my man padok had given the alarm and heard the milkman arrested. my man paddock had given the alarm and heard the milkman arrested. my man padok had given the alarm and heard the milkman arrested.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my man parok had given the alarm and heard the milkman arrested', 'my man parok had given the alarm and heard the milkman arrested', 'my man padok had given the alarm and heard the milkman arrested', 'my man paddock had given the alarm and heard the milkman arrested', 'my man padok had given the alarm and heard the milkman arrested']
[ "may and berg became a very profitable company because of its government contracts", "mayanburg became a very profitable company because of its government contracts", "mayenburg became a very profitable company because of its government contracts", "mayenberg became a very profitable company because of its government contracts", "may and burg became a very profitable company because of its government contracts" ]
meyenberg became a very profitable company because of its government contracts
may and berg became a very profitable company because of its government contracts.
mayanburg became a very profitable company because of its government contracts. mayenburg became a very profitable company because of its government contracts. mayenberg became a very profitable company because of its government contracts. may and burg became a very profitable company because of its government contracts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['may and berg became a very profitable company because of its government contracts', 'mayanburg became a very profitable company because of its government contracts', 'mayenburg became a very profitable company because of its government contracts', 'mayenberg became a very profitable company because of its government contracts', 'may and burg became a very profitable company because of its government contracts']
[ "common law is a term with historical origins in a legal system of england", "common law is a term with historical origins in the legal system of england", "the common law is a term with historical origins in the legal system of england", "the common law is a term with historical origins in the legal system of england", "come and law is a term with historical origins in the legal system of england" ]
common law is a term with historical origins in the legal system of england
common law is a term with historical origins in a legal system of england.
common law is a term with historical origins in the legal system of england. the common law is a term with historical origins in the legal system of england. the common law is a term with historical origins in the legal system of england. come and law is a term with historical origins in the legal system of england.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['common law is a term with historical origins in a legal system of england', 'common law is a term with historical origins in the legal system of england', 'the common law is a term with historical origins in the legal system of england', 'the common law is a term with historical origins in the legal system of england', 'come and law is a term with historical origins in the legal system of england']
[ "and three supporters have seen on ms gua is appointment as a", "and three supporters have seen on ms guy is appointment as a", "and three supporters have seen on this guy is appointment as a", "and three supporters have seen on ms guar is appointment as a", "and three supporters have seen on this guy is appointment" ]
some of ansary is supporters have seen amouzegar is appointment as a poor decision in hindsight
and three supporters have seen on ms gua is appointment as a.
and three supporters have seen on ms guy is appointment as a. and three supporters have seen on this guy is appointment as a. and three supporters have seen on ms guar is appointment as a. and three supporters have seen on this guy is appointment.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and three supporters have seen on ms gua is appointment as a', 'and three supporters have seen on ms guy is appointment as a', 'and three supporters have seen on this guy is appointment as a', 'and three supporters have seen on ms guar is appointment as a', 'and three supporters have seen on this guy is appointment']
[ "this mustache would give you palpitations of the heart", "his mustache would give you palpitations of the heart", "his mustache would give you palpitations of the heart", "his must chash would give you palpitations of the heart", "this mustache would give you palpitations of the heart" ]
his mustache would give you palpitations of the heart
this mustache would give you palpitations of the heart.
his mustache would give you palpitations of the heart. his mustache would give you palpitations of the heart. his must chash would give you palpitations of the heart. this mustache would give you palpitations of the heart.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this mustache would give you palpitations of the heart', 'his mustache would give you palpitations of the heart', 'his mustache would give you palpitations of the heart', 'his must chash would give you palpitations of the heart', 'this mustache would give you palpitations of the heart']
[ "who was married five times", "who was married five times", "who was married four times", "who was married for five times", "who was married five times" ]
hall was married five times
who was married five times.
who was married five times. who was married four times. who was married for five times. who was married five times.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['who was married five times', 'who was married five times', 'who was married four times', 'who was married for five times', 'who was married five times']
[ "the structure possesses a genuine tiffany window", "the structure possesses a genuine tiffany window", "the structure possesses a genuine tiffany window", "the structure possesses a genuine tiffany window", "the structure possesses a genuine tiffany window" ]
the structure possesses a genuine tiffany window
the structure possesses a genuine tiffany window.
the structure possesses a genuine tiffany window. the structure possesses a genuine tiffany window. the structure possesses a genuine tiffany window. the structure possesses a genuine tiffany window.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the structure possesses a genuine tiffany window', 'the structure possesses a genuine tiffany window', 'the structure possesses a genuine tiffany window', 'the structure possesses a genuine tiffany window', 'the structure possesses a genuine tiffany window']
[ "johnson to the author from ohio chief justice thomas j moyer", "johnson to the author from ohio chief justice thomas j moore", "johnson to the author from ohio chief justice thomas j moore", "johnson to the oath from ohio chief justice thomas j moyer", "johnson to the author from ohio chief justice thomas j muir" ]
johnson took the oath from ohio chief justice thomas j moyer
johnson to the author from ohio chief justice thomas j moyer.
johnson to the author from ohio chief justice thomas j moore. johnson to the author from ohio chief justice thomas j moore. johnson to the oath from ohio chief justice thomas j moyer. johnson to the author from ohio chief justice thomas j muir.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['johnson to the author from ohio chief justice thomas j moyer', 'johnson to the author from ohio chief justice thomas j moore', 'johnson to the author from ohio chief justice thomas j moore', 'johnson to the oath from ohio chief justice thomas j moyer', 'johnson to the author from ohio chief justice thomas j muir']
[ "examples include thoughts concepts memories emotions percepts and intentions", "examples include thoughts concepts memories emotions per seps and intentions", "examples include thoughts concepts memories emotions percepts and intentions", "examples include thoughts concepts memories emotions percepts and intentions", "examples include thoughts concepts memories emotions percepts and intentions" ]
examples include thoughts concepts memories emotions percepts and intentions
examples include thoughts concepts memories emotions percepts and intentions.
examples include thoughts concepts memories emotions per seps and intentions. examples include thoughts concepts memories emotions percepts and intentions. examples include thoughts concepts memories emotions percepts and intentions. examples include thoughts concepts memories emotions percepts and intentions.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['examples include thoughts concepts memories emotions percepts and intentions', 'examples include thoughts concepts memories emotions per seps and intentions', 'examples include thoughts concepts memories emotions percepts and intentions', 'examples include thoughts concepts memories emotions percepts and intentions', 'examples include thoughts concepts memories emotions percepts and intentions']
[ "his credits include episodes of the twilight zone and the alfred hitchcock hour", "his credits include episodes of the twilight zone and the alfred hitchcock hour", "his credits include episodes of the twilight zone and the alfred hitchcock tower", "his credits include episodes of the twilight zone and the alfred hitchcock hour", "his credits include episodes of the twilight zone and the alpha and hitchcock hour" ]
his credits include episodes of the twilight zone and the alfred hitchcock hour
his credits include episodes of the twilight zone and the alfred hitchcock hour.
his credits include episodes of the twilight zone and the alfred hitchcock hour. his credits include episodes of the twilight zone and the alfred hitchcock tower. his credits include episodes of the twilight zone and the alfred hitchcock hour. his credits include episodes of the twilight zone and the alpha and hitchcock hour.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his credits include episodes of the twilight zone and the alfred hitchcock hour', 'his credits include episodes of the twilight zone and the alfred hitchcock hour', 'his credits include episodes of the twilight zone and the alfred hitchcock tower', 'his credits include episodes of the twilight zone and the alfred hitchcock hour', 'his credits include episodes of the twilight zone and the alpha and hitchcock hour']
[ "the stump arena covers much of the asteroid", "the stumperina covers much of the asteroid", "the stomparina covers much of the asteroid", "the stumparina covers much of the asteroid", "the stump arena covers much of the asteroid" ]
the stump arena covers much of the asteroid
the stump arena covers much of the asteroid.
the stumperina covers much of the asteroid. the stomparina covers much of the asteroid. the stumparina covers much of the asteroid. the stump arena covers much of the asteroid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the stump arena covers much of the asteroid', 'the stumperina covers much of the asteroid', 'the stomparina covers much of the asteroid', 'the stumparina covers much of the asteroid', 'the stump arena covers much of the asteroid']
[ "other music institutions in rest virginia include the mount rania opera house in milton", "other music institutions in west virginia include the mount rania opera house in milton", "other music institutions in west virginia include the mount rania opera house in melbourne", "other music institutions in rest virginia include the mount rania opera house in melbourne", "other music institutions in rest virginia include the mount rania opera house in wilton" ]
other music institutions in west virginia include the mountaineer opera house in milton
other music institutions in rest virginia include the mount rania opera house in milton.
other music institutions in west virginia include the mount rania opera house in milton. other music institutions in west virginia include the mount rania opera house in melbourne. other music institutions in rest virginia include the mount rania opera house in melbourne. other music institutions in rest virginia include the mount rania opera house in wilton.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other music institutions in rest virginia include the mount rania opera house in milton', 'other music institutions in west virginia include the mount rania opera house in milton', 'other music institutions in west virginia include the mount rania opera house in melbourne', 'other music institutions in rest virginia include the mount rania opera house in melbourne', 'other music institutions in rest virginia include the mount rania opera house in wilton']
[ "the commission blamed the failings primarily on perkin almer", "the commission blamed the failedings primarily on perkin almer", "the commission blamed the failings primarily on broken armor", "the commission blamed the failings primarily on perkin al mur", "the commission blamed the failings primarily on perkin elmer" ]
the commission blamed the failings primarily on perkin elmer
the commission blamed the failings primarily on perkin almer.
the commission blamed the failedings primarily on perkin almer. the commission blamed the failings primarily on broken armor. the commission blamed the failings primarily on perkin al mur. the commission blamed the failings primarily on perkin elmer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the commission blamed the failings primarily on perkin almer', 'the commission blamed the failedings primarily on perkin almer', 'the commission blamed the failings primarily on broken armor', 'the commission blamed the failings primarily on perkin al mur', 'the commission blamed the failings primarily on perkin elmer']
[ "moon safari was a claim by critics and remains air is most renowned release", "moon safari was a claim by critics and remains airs most renowned release", "moon safari was a claim by critics and remains earth is most renowned release", "moon safari was claimed by critics and remains air is most renowned release", "moon safari was claimed by critics and remains airs most renowned release" ]
moon safari was acclaimed by critics and remains air is most renowned release
moon safari was a claim by critics and remains air is most renowned release.
moon safari was a claim by critics and remains airs most renowned release. moon safari was a claim by critics and remains earth is most renowned release. moon safari was claimed by critics and remains air is most renowned release. moon safari was claimed by critics and remains airs most renowned release.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['moon safari was a claim by critics and remains air is most renowned release', 'moon safari was a claim by critics and remains airs most renowned release', 'moon safari was a claim by critics and remains earth is most renowned release', 'moon safari was claimed by critics and remains air is most renowned release', 'moon safari was claimed by critics and remains airs most renowned release']
[ "a man working on something alone in an industrial setting", "a man working on something alone in an industrial setting", "a man working on something alone in an industrial setting", "a man working on something alone in an industrial setting", "a man working on something alone in an industrial setting" ]
a man working on something alone in an industrial setting
a man working on something alone in an industrial setting.
a man working on something alone in an industrial setting. a man working on something alone in an industrial setting. a man working on something alone in an industrial setting. a man working on something alone in an industrial setting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a man working on something alone in an industrial setting', 'a man working on something alone in an industrial setting', 'a man working on something alone in an industrial setting', 'a man working on something alone in an industrial setting', 'a man working on something alone in an industrial setting']
[ "however the movie has gained a general cult following since its release", "however the movie has gained a general cult following since its release", "however the movie has gained a general cult following since its release", "however the movie has gained a general cult following since its release", "however the movie has gained a general cult following since its release" ]
however the movie has gained a general cult following since its release
however the movie has gained a general cult following since its release.
however the movie has gained a general cult following since its release. however the movie has gained a general cult following since its release. however the movie has gained a general cult following since its release. however the movie has gained a general cult following since its release.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the movie has gained a general cult following since its release', 'however the movie has gained a general cult following since its release', 'however the movie has gained a general cult following since its release', 'however the movie has gained a general cult following since its release', 'however the movie has gained a general cult following since its release']
[ "barrett was replaced on pass by l p agviz what the shuttered room took", "barrett was replaced on pass by l p agviz what the shuttered from the tooth", "barrett was replaced on pass by l p agviz what the shutter turned to", "barrett was replaced on pass by l p agviz what the shuttered from two", "barrett was replaced on pass by l p agviz what the shuttered from took" ]
barrett was replaced on bass by alfie agius for the shuttered room tour
barrett was replaced on pass by l p agviz what the shuttered room took.
barrett was replaced on pass by l p agviz what the shuttered from the tooth. barrett was replaced on pass by l p agviz what the shutter turned to. barrett was replaced on pass by l p agviz what the shuttered from two. barrett was replaced on pass by l p agviz what the shuttered from took.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['barrett was replaced on pass by l p agviz what the shuttered room took', 'barrett was replaced on pass by l p agviz what the shuttered from the tooth', 'barrett was replaced on pass by l p agviz what the shutter turned to', 'barrett was replaced on pass by l p agviz what the shuttered from two', 'barrett was replaced on pass by l p agviz what the shuttered from took']
[ "journal sterling a m wood was placed at the north of town", "general sterling a m wood was placed at the north of town", "general sterling a m wood was placed at the north of town", "journal sterling a m wood was placed at the north of town", "journal sterling am would was placed at the north of town" ]
general sterling a m wood was placed at the north of town
journal sterling a m wood was placed at the north of town.
general sterling a m wood was placed at the north of town. general sterling a m wood was placed at the north of town. journal sterling a m wood was placed at the north of town. journal sterling am would was placed at the north of town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['journal sterling a m wood was placed at the north of town', 'general sterling a m wood was placed at the north of town', 'general sterling a m wood was placed at the north of town', 'journal sterling a m wood was placed at the north of town', 'journal sterling am would was placed at the north of town']
[ "this property makes five print objects the correct objects on which to define all the topic groups", "this property makes five print objects the correct objects on which to define all the topic groups", "this property makes five print objects the correct objects on which to define former topic groups", "this property makes five print objects the correct objects on which to define form or topic groups", "this property makes pipe and objects the correct objects on which to define form or topic groups" ]
this property makes fibrant objects the correct objects on which to define homotopy groups
this property makes five print objects the correct objects on which to define all the topic groups.
this property makes five print objects the correct objects on which to define all the topic groups. this property makes five print objects the correct objects on which to define former topic groups. this property makes five print objects the correct objects on which to define form or topic groups. this property makes pipe and objects the correct objects on which to define form or topic groups.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this property makes five print objects the correct objects on which to define all the topic groups', 'this property makes five print objects the correct objects on which to define all the topic groups', 'this property makes five print objects the correct objects on which to define former topic groups', 'this property makes five print objects the correct objects on which to define form or topic groups', 'this property makes pipe and objects the correct objects on which to define form or topic groups']
[ "she is married to actor rick gio lito", "she is married to actor rick geolito", "she is married to actor rick geo lito", "she is married to actor rick geo little", "she is married to actor rick geolito" ]
she is married to actor rick giolito
she is married to actor rick gio lito.
she is married to actor rick geolito. she is married to actor rick geo lito. she is married to actor rick geo little. she is married to actor rick geolito.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she is married to actor rick gio lito', 'she is married to actor rick geolito', 'she is married to actor rick geo lito', 'she is married to actor rick geo little', 'she is married to actor rick geolito']
[ "the delirium brief is published by a tool", "the delirium brief is published by a tool", "the delirium brief is published by poole", "that delirium brief is published by a tool", "the delirium brief is published by a pool" ]
the delirium brief is published by tor
the delirium brief is published by a tool.
the delirium brief is published by a tool. the delirium brief is published by poole. that delirium brief is published by a tool. the delirium brief is published by a pool.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the delirium brief is published by a tool', 'the delirium brief is published by a tool', 'the delirium brief is published by poole', 'that delirium brief is published by a tool', 'the delirium brief is published by a pool']
[ "segal factors determine the value of first appearance", "segur factors determine the value of first appearance", "seagull factors determine the value of first appearance", "segal factors determine the value of the first appearance", "several factors determine the value of first appearance" ]
several factors determine the value of a first appearance
segal factors determine the value of first appearance.
segur factors determine the value of first appearance. seagull factors determine the value of first appearance. segal factors determine the value of the first appearance. several factors determine the value of first appearance.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['segal factors determine the value of first appearance', 'segur factors determine the value of first appearance', 'seagull factors determine the value of first appearance', 'segal factors determine the value of the first appearance', 'several factors determine the value of first appearance']
[ "one may busy focusing on all this work", "one may busy focusing on all these work", "one may be focusing on all this work", "one may busy focusing on all these works", "one may busy focusing on all this work" ]
one may busy focusing on his work
one may busy focusing on all this work.
one may busy focusing on all these work. one may be focusing on all this work. one may busy focusing on all these works. one may busy focusing on all this work.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['one may busy focusing on all this work', 'one may busy focusing on all these work', 'one may be focusing on all this work', 'one may busy focusing on all these works', 'one may busy focusing on all this work']
[ "a remix release addendum was also released in november only on that session", "a remix release addendum was also released in november only on a session", "a remix release addendum was also released in november only on at session", "a remix release addendum was also released in november only on at session", "a remix release a dendum was also released in november only on a session" ]
a remix release addendum was also released in november only on accession
a remix release addendum was also released in november only on that session.
a remix release addendum was also released in november only on a session. a remix release addendum was also released in november only on at session. a remix release addendum was also released in november only on at session. a remix release a dendum was also released in november only on a session.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a remix release addendum was also released in november only on that session', 'a remix release addendum was also released in november only on a session', 'a remix release addendum was also released in november only on at session', 'a remix release addendum was also released in november only on at session', 'a remix release a dendum was also released in november only on a session']
[ "sloth high school was a girl selective grammar school in sloth buckinghamshire now berkshire", "sloth high school was a girl is selective premise goal in sloth buckinghamshire now berkshire", "sloth high school was a girls selective grammar school in sloth buckinghamshire now berkshire", "sloth high school was a girl selective grandma school in sloth buckinghamshire now berkshire", "sloth high school was a girl is selective grammar school in sloth buckinghamshire now berkshire" ]
slough high school was a girls selective grammar school in slough buckinghamshire now berkshire
sloth high school was a girl selective grammar school in sloth buckinghamshire now berkshire.
sloth high school was a girl is selective premise goal in sloth buckinghamshire now berkshire. sloth high school was a girls selective grammar school in sloth buckinghamshire now berkshire. sloth high school was a girl selective grandma school in sloth buckinghamshire now berkshire. sloth high school was a girl is selective grammar school in sloth buckinghamshire now berkshire.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sloth high school was a girl selective grammar school in sloth buckinghamshire now berkshire', 'sloth high school was a girl is selective premise goal in sloth buckinghamshire now berkshire', 'sloth high school was a girls selective grammar school in sloth buckinghamshire now berkshire', 'sloth high school was a girl selective grandma school in sloth buckinghamshire now berkshire', 'sloth high school was a girl is selective grammar school in sloth buckinghamshire now berkshire']
[ "so if here coppola was presented with an award for best new film maker", "so if here coppola was presented with an award for best new filmmaker", "so if here coppola was presented with an award for best new film leaker", "so if here coppola was presented with an award for best new film maker", "so if here coppola was presented with an award for best new film maker" ]
sofia coppola was presented with an award for best new filmmaker
so if here coppola was presented with an award for best new film maker.
so if here coppola was presented with an award for best new filmmaker. so if here coppola was presented with an award for best new film leaker. so if here coppola was presented with an award for best new film maker. so if here coppola was presented with an award for best new film maker.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['so if here coppola was presented with an award for best new film maker', 'so if here coppola was presented with an award for best new filmmaker', 'so if here coppola was presented with an award for best new film leaker', 'so if here coppola was presented with an award for best new film maker', 'so if here coppola was presented with an award for best new film maker']
[ "i list and subramanian have published selections with english translation in india", "i list in and subramanian have published selections with english translation in india", "i list in and subromanian have published selections with english translation in india", "i list and subromanian have published selections with english translation in india", "i list and subromanian have published selections with english translation in india" ]
aliston and subramanian have published selections with english translation in india
i list and subramanian have published selections with english translation in india.
i list in and subramanian have published selections with english translation in india. i list in and subromanian have published selections with english translation in india. i list and subromanian have published selections with english translation in india. i list and subromanian have published selections with english translation in india.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i list and subramanian have published selections with english translation in india', 'i list in and subramanian have published selections with english translation in india', 'i list in and subromanian have published selections with english translation in india', 'i list and subromanian have published selections with english translation in india', 'i list and subromanian have published selections with english translation in india']
[ "in yugoslavia murphy began to write a journal instead of mailing letters", "in yugoslavia mofi began to write a journal instead of mailing letters", "in yugoslavia morphe began to write a journal instead of mailing letters", "in yugoslavia mafia began to write a journal instead of mailing letters", "in yugoslavia morphi began to write a journal instead of mailing letters" ]
in yugoslavia murphy began to write a journal instead of mailing letters
in yugoslavia murphy began to write a journal instead of mailing letters.
in yugoslavia mofi began to write a journal instead of mailing letters. in yugoslavia morphe began to write a journal instead of mailing letters. in yugoslavia mafia began to write a journal instead of mailing letters. in yugoslavia morphi began to write a journal instead of mailing letters.
train_cv
null
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in yugoslavia murphy began to write a journal instead of mailing letters', 'in yugoslavia mofi began to write a journal instead of mailing letters', 'in yugoslavia morphe began to write a journal instead of mailing letters', 'in yugoslavia mafia began to write a journal instead of mailing letters', 'in yugoslavia morphi began to write a journal instead of mailing letters']